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ICAT17 abstract book

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Science
ICAT'17
International Conference on Advanced
Technology & Sciences
ABSTRACTS
May 9-12 2017
ISTANBUL / TURKEY
Editors
Omer Faruk BAY
Ismail SARITAS
E-ISBN: 978-605-67535-0-3
International Conference on Advanced
Technology & Sciences
5th International Conference, ICAT’17
Istanbul, Turkey, May 9-12, 2017
Abstracts
Editors
Ismail SARITAS
Omer Faruk BAY
International Conference on Advanced Technology & Sciences, ICAT’17
5th International Conference on Advanced Technology & Sciences
Istanbul, Turkey, May 9-12, 2017
ii
International Conference on Advanced Technology & Sciences (ICAT’17)
International Conference on Advanced
Technology & Sciences
5th International Conference, ICAT’17
Istanbul, Turkey, May 9-12, 2017
Abstracts
Editors
Ismail SARITAS
Omer Faruk BAY
E-ISBN: 978-605-67535-0-3
Saday Mühendislik Sertifika No: 35542
www.saday.com.tr
Saday Mühendislik
Kürden Mh. Temizciler Sk. No:5 Meram / KONYA
Tel: 0.332 323 07 39
May – 2017
Istanbul, Turkey, May 9-12, 2017
International Conference on Advanced Technology & Sciences (ICAT’17)
iii
Istanbul, Turkey, May 9-12, 2017
iv
International Conference on Advanced Technology & Sciences (ICAT’17)
EDITORS
:
Ismail SARITAS
Selcuk University, Turkey
Depertmant of Electric-Electronic Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey
[email protected]
Omer Faruk BAY,
Gazi University, Turkey
Depertmant of Electronic - Computer Education
Teknikokullar, 06500, Ankara, Turkey
e-mail: [email protected]
ASSISTANT EDITORS
:
Kemal TUTUNCU
Selcuk University, Turkey
Depertmant of Electric-Electronic Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey
[email protected]
Ilker Ali OZKAN
Selcuk University, Turkey
Depertmant of Computer Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey
[email protected]
Murat KOKLU
Selcuk University, Turkey
Depertmant of Computer Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey
[email protected]
Istanbul, Turkey, May 9-12, 2017
International Conference on Advanced Technology & Sciences (ICAT’17)
v
Istanbul, Turkey, May 9-12, 2017
vi
International Conference on Advanced Technology & Sciences (ICAT’17)
PREFACE
International Conference on Advanced Technology & Sciences (ICAT'17) has
been organized in Istanbul, Turkey on 9-12 May, 2017.
The main objective of ICAT'17 is to present the latest research and results of
scientists related to all sub-disciplines of Electrical Engineering. This conference
provides opportunities for the different areas delegates to exchange new ideas and
application experiences face to face, to establish business or research relations and to
find global partners for future collaboration.
We hope that the conference results provide significant contribution to the
knowledge in this scientific field. The organizing committee of conference is pleased
to invite prospective authors to submit their original manuscripts to ICAT'17.
All paper submissions will be double-blind and peer-reviewed and evaluated
based on originality, technical and/or research content/depth, correctness, relevance to
conference, contributions, and readability. All full paper submissions have been
double blind and peer reviewed and evaluated based on originality, technical and/or
research content/depth, correctness, relevance to conference, contributions, and
readability. Selected papers presented in the conference that match with the topics of
the journals will be published in the following journals:
 International Journal of Intelligent Systems and Applications in Engineering
(IJISAE)
 International Journal of Applied Mathematics, Electronics and Computers
(IJAMEC)
 International Journal of Energy Applications and Technology (IJEAT)
At this conference, there are 319 paper submissions from 14 different countries
and 201universities. Each paper proposal was evaluated by two reviewers. And
finally, 227 papers will be presented at our conference.
In particular we would like to thank Prof. Dr. Mustafa SAHIN, Rector of Selcuk
University; Prof.Dr. Senay YALCIN, Rector of Bahcesehir University; Prof.Dr. Ali
GUNGOR, Vice Rector of Bahcesehir University; Prof.Dr. Mehmet OKKA, Vice
Rector of Selcuk University; Advanced Technology and Sciences, Academic
Publisher; International Journal of Intelligent Systems and Applications in
Engineering (IJISAE); International Journal of Applied Mathematics, Electronics and
Computers (IJAMEC); International Journal of Energy Applications and Technology
(IJEAT) and SADAY Organization. They have made a crucial contribution towards
the success of this conference. Our thanks also go to the colleagues in our conference
office.
Looking forward to see you in next ICAT.
Ismail SARITAS - Omer Faruk BAY
Editors
Istanbul, Turkey, May 9-12, 2017
International Conference on Advanced Technology & Sciences (ICAT’17)
vii
PROGRAMME COMMITTEES
HONORARY CHAIR
:
Mustafa Sahin, Rector of Selcuk University, Turkey
Senay Yalcin, Rector of Bahcesehir University, Turkey
GENERAL CHAIR
:
Omer Faruk Bay, Gazi University, Turkey
Ismail Saritas, Selcuk University, Turkey
CO-CHAIR
:
Ali Gungor, Bahcesehir University, Turkey
Kemal Tutuncu, Selcuk Universitesi, Turkey
Ilker Ali Ozkan, Selcuk University, Turkey
Murat Koklu, Selcuk University, Turkey
PUBLICATION CHAIR
:
Mehmet Akif Sahman, Selcuk University, Turkey
Ali Yasar, Selcuk University, Turkey
Mustafa Buber, Selcuk University, Turkey
INTERNATIONAL ADVISORY BOARD
Abdullah Erdal Tumer, Turkey
Alexander Sudnitson, Estonia
Ali Gungor, Turkey
Ali Yasar, Turkey
Alla Anohina Naumeca, Latvia
Almoataz Youssef Abdelaziz, Egypt
Amar Ramdane Cherif, France
Anand Kumar, India
Anca Loana Andreescu, Bulgaria
Angel Smrikarov, Bulgaria
Anne Villems, Estonia
Antonella Reitano, Italy
Antonio Mendes, Portugal
Artan Luma, Macedonia
Asrun Matthiasdottir, Iceland
Biagio Lenzitti, Italy
Binod Kumar, India
Boris Akanaev, Kazakhstan
Cemil Sungur, Turkey
Cesare Valenti, Italy
Cigdem Eroglu Erdem, Turkey
Desislava Paneva Marinova, Bulgaria
Dimitris Dranidis, Greece
Domenico Tegolo, Italy
Eisha Akanksha, India
Elinda Kajo Mece, Romania
Ercan Erturk, Turkey
Fecir Duran, Turkey
Gabriel Luna Sandoval, Mexico
Halife Kodaz, Turkey
Harun Uguz, Turkey
Hayri Arabaci, Turkey
Heinz Dietrich Wuttke, Germany
Howard Duncan, Ireland
Hulusi Karaca, Turkey
Huse Fatkic, Bosnia and Herzegovina
Ilker Ali Ozkan, Turkey
Inan Guler, Turkey
Irina Noninska, Bulgaria
Ismail Saritas, Turkey
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
Ivan Jelinek, Czech Republic
Jan Vom Brocke, Liechtenstein
Janis Grundspenkis, Latvia
Janusz Jablonowski, Poland
Jiri Srba, Denmark
Kadir Sabanci, Turkey
Karl Jones, United Kingdom
Kemal Tutuncu, Turkey
Korhan Cengiz, Turkey
Laurentiu Cristian Deaconu, Romania
Lilia Georgieva, United Kingdom
Luca Lombardi, Italy
Mahdi Shahbakhti, United States
Majida Ali Abed Meshari, Iraq
Manik Sharma, India
Marco Porta, Italy
Markus Helfert, Ireland
Mehmet Cunkas, Turkey
Mehmet Akif Sahman, Turkey
Mehmet Rahmi Canal, Turkey
Michail Antchev, Bulgaria
Mirjana Ivanovic, Serbia
Mohamed Abdel Fattah Ashabrawy
Moustafa, Saudi Arabia
Muciz Ozcan, Turkey
Muhammad Zia Ur Rehman, Pakistan
Murat Koklu, Turkey
ORGANIZING COMMITTEE
Omer Faruk Bay, Turkey
Ali Gungor, Turkey
Nafiz Arica, Turkey
Cigdem Bakir, Turkey
Ercan Erturk, Turkey
Ismail Saritas, Turkey
Kemal Tutuncu, Turkey
Ilker Ali Ozkan, Turkey
Murat Koklu, Turkey
Istanbul, Turkey, May 9-12, 2017
Mustafa Buber, Turkey
Mustafa Altin, Turkey
Mustafa Alci, Turkey
Mustafa Nevzat Ornek, Turkey
Nafiz Arica, Turkey
Natasa Hoic Bozic, Croatia
Novruz Allahverdi, Turkey
Omer Faruk Bay, Turkey
Onur Inan, Turkey
Pantha Ghosal, Australia
Pino Caballero Gil, Spain
Polyxeni Arapi, Greece
Raif Bayir, Turkey
Ridvan Saracoglu, Turkey
Rositsa Doneva, Bulgaria
Saadetdin Herdem, Turkey
Sakir Tasdemir, Turkey
Silyan Sibinov Arsov, Bulgaria
Simona Silvia Merola, Italy
Stavros Christodoulakis, Greece
Stavros Nikolopoulos, Greece
Tatjana Dulinskiene, Lithuania
Thomas Engel, Luxembourg
Virginio Cantoni, Italy
Wladimir Bodrow, Germany
Yuri Pavlov, Bulgaria
Zarifa Jabrayilova, Azerbaijan
Silyan Sibinov Arsov, Bulgaria
Dimitris Dranidis, Greece
Angel Smrikarov, Bulgaria
Sakir Tasdemir, Turkey
Mustafa Altin, Turkey Ridvan
Saracoglu, Turkey
Cigdem Eroglu Erdem, Turkey
Zekai Sen, Turkey
Fatih Saday, Turkey
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International Conference on Advanced Technology & Sciences (ICAT’17)
Alla Anohina Naumeca, Latvia
Abdulkadir Saday, Turkey
TECHNICAL COMMITTEE
Mehmet Akif Sahman, Turkey
Ali Yasar, Turkey
Mustafa Buber, Turkey
Esra Kaya, Turkey
Fatih Saday, Turkey
Abdulkadir Saday, Turkey
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
CONTENTS
COMPARATIVE HDL IMPLEMENTATIONS OF TWO CHAOTIC GENERATORS 1
ZEYNEP KAYA, EROL SEKE
THE INFERENCE PROCESS OF NONSTATIONARY FUZZY SETS WITH
UNCERTAINTY FOR CYBER PHYSICAL SYSTEMS
HASAN YETIS, MEHMET KARAKOSE
2
A COMPARISON OF SHORT TERM LOAD FORECASTING METHODS FOR
TURKISH DISTRIBUTION GRID
UGURCAN SENCAN, GURKAN SOYKAN, NAFIZ ARICA
3
NON LOCALLY COLOR IMAGE SEGMENTATION FOR REMOTE SENSING
IMAGES IN DIFFERENT COLOR SPACES BY USING DATA CLUSTERING
METHODS
MURAT KARAKOYUN, ALI SAGLAM, NURDAN AKHAN BAYKAN, ADEM ALPASLAN
ALTUN
4
IMPROVED RAIL SURFACE DETECTION AND CONDITION MONITORING
APPROACH WITH FPGA IN RAILWAYS
ORHAN YAMAN, MEHMET KARAKOSE, ERHAN AKIN
5
SENTIMENT ANALYSIS ON TWITTER SOCIAL MEDIA DATA
ISMAIL ISERI, GOKHAN KAYHAN, SALIH CAN OZEL
6
AMBIENT MEASUREMENT PLATFORM
NUR IREM EDINC, MEHMET CAN ALPHAN, LUTFI ARDA
7
IMAGE ENCRYPTION BASED ON HAAR WAVELET TRANSFORMATION AND
RC4 ALGORITHM
ELHAM YASIN, RIDVAN SARACOGLU, PARISA LARIBI
8
DYNAMICAL STRESS FIELD PROBLEM IN A PRE STRESSED PLATE STRIP
MADE BY COMPOUNDING TWO LAYERS SIDE BY SIDE
AHMET DASDEMIR
9
DEVELOPING INTELLIGENT SYSTEMS WITH CAPACITIVE TOUCH SENSOR 10
USING WIRELESS SENSOR NETWORKS
MURAT DENER
11
ESTIMATION OF SHORT PERIOD WIND POWER WITH ANN METHOD
BULENT YANIKTEPE, SAKIR TASDEMIR, A BURAK GUHER
FUZZY POSITION CONTROL APPROACH FOR AN AUTONOMOUS ROBOT
12
CONTROLLER
ALI CETINKAYA, NOVRUZ ALLAHVERDI, AHMED YASSER AFAGHANI, TUGBA SARAY
COST EFFECTIVE ELASTIC MANAGEABLE AND SCALABLE STREAM DATA 13
ANALYTICS ON DATA DRIVEN ARCHITECTURES
UGUR ARPACI
14
GIS BASED WHEAT QUALITY MAP KONYA PROVINCE APPLICATION
ABDULLAH OKTAY DUNDAR, MAHMUT TEKIN, KENAN PEKER, MEHMET AKIF
SAHMAN
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON HYBRID METHODS IN FEED FORMULATIONS
MEHMET AKIF SAHMAN, ADEM ALPASLAN ALTUN, ABDULLAH OKTAY DUNDAR
15
THE MOBILE APP TO ASSIST WITH TATTOO ENCODED BABY
IMMUNIZATION RECORDS IN AFRICA
BONGKEUM JEONG, JESUS IBANEZ, NUNO NUNES, MONCHU CHEN
16
A NEW APPROACH BASED ON IMAGE PROCESSING FOR MEASURING
COMPRESSIVE STRENGTH OF STRUCTURES
MEHMET BAYGIN, SUAT GOKHAN OZKAYA, MUHAMMET ALPEREN
OZDEMIR, ILKER KAZAZ
17
A REVIEW OF SMART HOME SYSTEMS
MOHAMMED QAIMAZ ALI, ISMAIL SARITAS
18
A MULTI PURPOSE MOBILE APPLICATION FOR EMBEDDED SYSTEMS
FECIR DURAN, HATICE TIRASOGLU
19
OBJECT DETECTION AND SEGMENTATION ON APPLE TREE IMAGES BY
USING MORPHOLOGICAL OPERATIONS AND VERTICAL AND HORIZONTAL 20
HISTOGRAM VALUES
SUMEYYA ILKIN, MERVE TAFRALI, SUHAP SAHIN, BURAK INNER
HOSPITAL PERFORMANCE EVALUATION A FUZZY DATA ENVELOPMENT
ANALYSIS APPROACH
ELIF DOGU, MICHELE CEDOLIN, Y ESRA ALBAYRAK
EVALUATION OF CUSTOMER SATISFACTION FACTORS IN HOUSING
INDUSTRY AND SELECTION OF THE BEST PROJECT USING AHP AND
TOPSIS METHODS
MICHELE CEDOLIN, ELIF DOGU, Y ESRA ALBAYRAK
21
22
CLASSIFICATION OF ECG SIGNALS BY THE ENSEMBLE LERARNING
METHODS
CIGDEM BAKIR
23
INVESTIGATION OF E LEARNING APPLICATIONS IN CIVIL ENGINEERING
ALI ERDEM CERCEVIK, NIHAN KAZAK
24
DATA MINING APPLICATIONS IN DIAGNOSIS OF SYMPTOMS
HARUN OZKISI, MURAT TOPALOGLU
25
USING RDF SUMMARY GRAPH FOR KEYWORD BASED SEMANTIC
SEARCHES
SERKAN AYVAZ, MEHMET AYDAR
26
DESIGN OF WEB BASED MONITORING SYSTEM FOR TOMCAT
APPLICATION SERVER
GOKHAN KAYHAN, ISMAIL ISERI, HAKAN KABASAKAL
27
A NEW STUDY OF K MEANS ALGORITHM IN BOSPHORUS AND
28
DARDANELLES STRAITS DATABASE
AYLA SAYLI, TUGCE SERT
DECISION TREE RESEARCH APPLICATIONS OF ID3 AND C4 5 ALGORITHMS 29
AYLA SAYLI, TUGCE SENTURK
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
MP DDOSER IP KILLER TESTING BEHAVIOR OF IP KILLER DDOS BOT IN
THE DETER TESTBED
TUAGHMOHAMMAD KALTE, GOKHAN DALKILIC
A DEEP LEARNING APPROACH FOR OPTIMIZATION OF SYSTEMATIC
SIGNAL DETECTION IN FINANCIAL TRADING SYSTEMS WITH BIG DATA
H SERCAN KARAOGLU, SERKAN AYVAZ, UGUR ARPACI
30
31
A WEB AND MOBILE BASED APPLICATION MONITORING AIR POLLUTION 32
INSTANT PARAMETERS USING CURL IN PHP
ABDURRAHMAN OZBEYAZ, YAVUZ DEMIRCI
USING DATA MINING AND FUZZY RANKING METHODS FOR DETERMINING 33
SIGNIFICANCE LEVELS OF ASSOCIATION RULES
MELDA KOKOC, ADNAN AKTEPE, SULEYMAN ERSOZ
CLASSIFICATION OF TREE SPECIES IN A FOREST BY ARTIFICIAL NEURAL 34
NETWORK USING ASTER SATELLITE IMAGES
MUSTAFA BUBER, MUHAMMED FAHRI UNLERSEN, KADIR SABANCI
DIAGNOSIS OF MESOTHELIOMA DISEASE USING DIFFERENT
CLASSIFICATION TECHNIQUES
KEMAL TUTUNCU, OZCAN CATALTAS
35
A SIMPLE APPROACH FOR INFLUENCE MAXIMIZATION IN SOCIAL
NETWORKS
AYBIKE SIMSEK, RESUL KARA
36
DESIGN AND IMPLEMENTATION OF AN ARTIFICIAL NEURAL NETWORK
SOFTWARE TO DIAGNOSE DISEASE
ISMAIL SARITAS, KADIR TOK
37
INFORMATION SECURITY A HYBRID ALGORITHM STUDY
EGEMEN TEKKANAT, MURAT TOPALOGLU
38
THE FUNCTION ANALYSIS AND ITS APPLICATION TO DETERMINATION
OF FUZZY SUBSETS FOR MODEL HELICOPTER FUZZY CONTROL
MURAT HACIMURTAZAOGLU, NOVRUZ ALLAHVERDI
39
FRIENDSHIP ALGORITHM FOR DETECTING BLACK HOLE ATTACKS IN
MANET FADBAM
ADWAN YASIN, MAHMOUD ABU ZANT
40
HUMAN LIMB MOVEMENT ESTIMATION BY ARTIFICIAL NEURAL
NETWORK USING BRAIN WAVE SIGNALS
MURAT KOKLU, KADIR SABANCI, MUHAMMED FAHRI UNLERSEN
41
MALICIOUS WEB PAGE DETECTION WITH MACHINE LEARNING
TECHNIQUES
CANSU KADI, URAZ YAVANOGLU
42
IMPLEMENTATION OF 16 BIT ARITHMETIC LOGIC UNIT ON FPGA
ILKER ALI OZKAN, ABDULKADIR SADAY
43
A SUGGESTION PERFORMING AUTOMATIC BLOCK REALLOCATION
USING PARTICLE SWARM OPTIMIZATION IN LAND CONSOLIDATION
PROJECTS
ABDURRAHMAN OZBEYAZ, YASAR INCEYOL
44
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
A TOOL FOR COLLECTING DATA FROM THE DEVICES USING SNMP
AGENTS
ATIKE DEMIRBAS, YALCIN CEBI
45
FEATURE SELECTION FROM 3D BRAIN MODEL FOR SOME DEMENTIA
SUBTYPES USING GENETIC ALGORITHM
SAVAS OKYAY, NIHAT ADAR, KEMAL OZKAN, BAKI ADAPINAR
46
INTELLIGENT BACKUP SYSTEM BASED ON ARM MICROCONTROLLER
FATIH SADAY, ABDULKADIR SADAY
47
A CHANCE PLAY DESIGN WITH C EXAMPLE OF HORSE RACE
APPLICATION
SAKIR TASDEMIR, EMRE AVUCLU
48
A NOVEL OPTIMIZATION APPROACH BASED ON RECIPROCAL FORCES
FOR ASTRONOMICAL N BODY SIMULATION ON GPU
CELIL OZKURT, EYUP GEDIKLI
49
MULTISPECTRAL IMAGE FUSION USING A NEW TENSOR APPROACH
SAHIN ISIK, KEMAL OZKAN, GOLARA GHORBAN DORDINEJAD
50
DETECTION OF FOREIGN OBJECTS IN RAILWAY LEVEL CROSSINGS
USING IMAGE PROCESSING TECHNIQUES
CANAN TASTIMUR, MEHMET KARAKOSE, ERHAN AKIN
51
PREDICTION OF ION EXCHANGE EFFICIENCY OF COMERCIAL RESINS
STRONG BASE ION EXCHANGE RESINS WITH ARTIFICIAL NEURAL
NETWORKS
SERPIL EDEBALI, ABDULLAH ERDAL TUMER, MEHMET ALKANER
TRAINING OF ANFIS NETWORK BY GENETIC ALGORITHM FOR
DIAGNOSIS OF LEUKEMIA CANCER SUBTYPES USING GENE EXPRESSION
PROFILE
MUSTAFA TURAN ARSLAN, BULENT HAZNEDAR, ADEM KALINLI
52
53
AN INTELLIGENT CLASSIFICATION APPROACH FOR SOCIAL MEDIA DATA 54
FATIH ERTAM
DESIGN AND IMPLEMENTATION OF AN INTERPRETER FOR THE LEAST
SQUARES METHOD USING SYMBOLIC APPROACHES
NAWAL ABDULLAHI MOHAMED, HUSEYIN PEHLIVAN
55
THE ROLE OF INNOVATIVE TECHNOLOGY-INTEGRATED TEACHING :
TOWARDS A TRANSFORMATIVE PEDAGOGY
NAZ ONEL
56
TRAINING OF ARTIFICIAL NEURAL NETWORK USING METAHEURISTIC
ALGORITHM
SHAIMAA SAFAA AHMED ALWAISI, OMER KAAN BAYKAN
57
CUSTOMER CHURN ANALYSIS USING CLASSIFICATION ALGORITHMS IN
TELECOMMUNICATIONS INDUSTRY
MUHAMMET SINAN BASARSLAN, FATIH KAYAALP
58
IMPLEMENTATION AND EVALUATION OF FACE RECOGNITION BASED
IDENTIFICATION SYSTEM
FARUK CAN ELBIZIM, MUSTAFA CEM KASAPBASI
59
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International Conference on Advanced Technology & Sciences (ICAT’17)
REDUCING CBR DROPPING IN QOSBOX USING GREENCLOUD
SIMULATION IN CLOUD COMPUTING
SHAFIULLAH MALEKZAI, DOGAN YILDIZ, SERAP KARAGOL
60
BEACON BASED INDOOR POSITIONING AND ROUTING
TANER ARSAN
61
DETERMINING OPTIMAL NUMBER OF CLUSTERS IN LEACH LIKE
PROTOCOLS
SINAN TOKLU, MEHMET SIMSEK
62
BIG DATA AND RESTFUL BASED WEB APPLICATION FOR SMART HEALTH 63
APPLICATION
SINEM GUVEN SANTUR, YUNUS SANTUR, MEHMET KARAKOSE
64
DEEP LEARNING BASED ARTIFICIAL MANAGER FOR SMART CITY
YUNUS SANTUR, EBRU KARAKOSE, MEHMET KARAKOSE, ERHAN AKIN
RE ANALYSIS OF MOLD MAKING ERRORS WITH COMPUTER AIDED
DESIGN PROGRAMS AND RECOMMENDATIONS
MUSTAFA ALTIN, AZIZ TOLUNAY ARSLANBAS, SAKIR TASDEMIR
65
A COMPUTER ALGEBRA SYSTEM THAT CAN BE INTEGRATED INTO USERS
66
WORKING ENVIRONMENTS TO SUPPORT SYMBOLIC COMPUTATION
OPERATIONS
SEDA EFENDIOGLU, H EMRE EFENDIOGLU, HUSEYIN PEHLIVAN
COMPARISON THE PERFORMANCES OF DBSCAN CLUSTERING
ALGORITHM AND IMAGE PROCESSING TECHNIQUES FOR COUNTING
WHITE BLOOD CELLS
FATMA OZGE OZKOK, METE CELIK
67
THE DIAGNOSIS OF MELANOMA SKIN CANCER USING SOME FEATURE
DESCRIPTORS
KAYA TURGUT, CAGRI KILINC, SEMIH ERGIN
68
COMPARISON OF LINEAR DIMENSIONALITY REDUCTION METHODS ON
FACE RECOGNITION
ERAY YILDIZ, YUSUF SEVIM
69
ANALYSIS OF LRC PERFORMANCE USING LBP FEATURES IN FACE
RECOGNITION
SULENUR ERGUL, MEHMET KOC
70
DEVELOPMENT OF OPTICAL CHARACTER RECOGNITION MOBILE
APPLICATION OVER CARD VISITS WITH IMAGE PROCESSING METHODS
ISMAIL ISERI, GOKHAN KAYHAN, KEREM HACIFAZLIOGLU
71
FEATURE WEIGHTING USING GENETIC ALGORITHM FOR TEXT
CLASSIFICATION
PARISA LARIBI, RIDVAN SARACOGLU
72
HOW DO COLLEGE STUDENTS ADOPT SOCIAL NETWORKING SERVICES
UNDERSTANDING THE DETERMINANTS
HASAN USLU, MUSTAFA EREN YILDIRIM, YUCEL BATU SALMAN
73
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW FAST MEASUREMENT AND INSPECTION APPROACH BASED ON
MACHINE VISION
MEHMET BAYGIN, MEHMET KARAKOSE, ALISAN SARIMADEN, ERHAN AKIN
74
OPTIMAL ROUTE DETECT BASED ON GENETIC ALGORITHM FOR
ERZURUM METROPOLITAN MUNICIPALITY
MEHMET BAYGIN, SALIH SERKAN KALELI, ABDULLAH NARALAN
75
A NEW SOFTWARE DESIGN FOR MUDEK ACCREDITATION PROCESS THE
APPLICATION OF KIRIKKALE UNIVERSITY
ATILLA ERGUZEN, SEYMA CIHAN, VOLKAN ATES, ERTUGRUL CAM
76
PREDICTION OF HEATING VALUES OF REFUSE DERIVED FUEL FROM
PROXIMATE ANALYSIS DATA
KEMAL OZKAN, SAHIN ISIK, AYSUN OZKAN, ZERRIN GUNKAYA, MUFIDE BANAR
77
ANALYSIS OF REAL TIME APPLICATION RESULTS OF BAYESIAN AND
ARTIFICIAL NEURAL NETWORKS ANN ALGORITHMS IN PRODUCING
CREDIT SCORE CARD
ALI TUNC, HUSEYIN KARADAG
78
THE TRUST MODEL FOR EVALUATION OF CLOUD SERVICE PROVIDERS
ATILA BOSTAN, DENIZ KORAY INCELER
79
SEED QUALITY CONTROL BY USING ARTIFICIAL NEURAL NETWORK
KADIR SABANCI, MUHAMMED FAHRI UNLERSEN, MURAT KOKLU
80
LOCAL T1 DISTANCES APPROACH SPACES
MEHMET BARAN, MUHAMMAD QASIM
81
DETERMINATION OF PLANT SPECIES USING VARIOUS ARTIFICIAL
NEURAL NETWORK STRUCTURES
MUHAMMED FAHRI UNLERSEN, MURAT KOKLU, KADIR SABANCI
82
COMPARISON OF OPTIMIZATION METHODS BASED ON GSA
NIHAN KAZAK, NESIBE YALCIN, ALI ERDEM CERCEVIK
83
A SMART PARKING LOT SENSOR SYSTEM
PINAR KIRCI, SELEN SAGLAMOZ, MURAT SENER
84
EMPIRICAL EXPLORATION FOR THE CORRELATION BETWEEN OBJECT
ORIENTED CLASS COHESION AND INHERITANCE
JEHAD AL DALLAL
85
A SMART CAR PARKING SYSTEM BASED ON GPS COORDINATES
GOKHAN KAYHAN, ISMAIL ISERI, SEVKI UTKU MALKOCOGLU
86
QR CODE BASED ENCRYPTION AND DECRYPTION OF TRIANGULAR
GEOMETRY PROBLEMS
CHEIKHNA LO
87
COMPARISION OF ORGANIZED INDUSTRIAL ZONES EFFICIENCY BY
USING A COMMON WEIGHT DEA BASED DECISION MODEL
BURCU DENIZ TULEK, NAZLI GOKER, MEHTAP DURSUN
88
MODELING OF SOCIAL PERFORMANCE METRICS WITH ARTIFICIAL
INTELLIGENCE TECHNIQUES
ENES CELIK, ADIL KONDILOGLU, HARUN BAYER, MUHAMMET ATALAY
89
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International Conference on Advanced Technology & Sciences (ICAT’17)
IMPLEMENTATION OF DEFECT DETECTION ON MILITARY CARTRIDGE
WITH OPENMP
OMER FARUK BAY, SEMRA AYDIN, REFIK SAMET
90
NEAR FIELD COMMUNICATION BASED ROLL CALL SYSTEM
SEYIT ALPEREN CELTEK, MAHMUT DURGUN, KADIR SABANCI
91
SELECTION OF A SUITABLE WIND POWER PLANT WITH ECONOMICAL
ANALYSIS FOR AMASRA CITY TURKEY
YAGMUR ARIKAN, OZGE PINAR AKKAS, ERTUGRUL CAM
92
IN SITU UV EXCITATION STUDY ON MATRIX ISOLATED 2 CHLORO 6
FLUOROBENZOIC ACID
NIHAL KUS, RUI FAUSTO
93
P TYPE DYE SENSITIZED SOLAR CELLS ENHANCED PERFORMANCE WITH 94
A GRAPHENE CUO NANOSTRUCTURES
BAYRAM KILIC, SUNAY TURKDOGAN
INVESTIGATION OF FIRE EXTINGUISHER TUBE STRESS AND
DEFORMATION CONCEPTS UNDER THE OVERPRESSURE LOADING FOR
DIFFERENT MATERIALS
MEHMET HANIFI DOGRU, IBRAHIM GOV, KURSAD GOV, EYUP YETER, IBRAHIM
HALIL GUZELBEY
95
VOLTAGE BREAKDOWN AND LEAKAGE CURRENT STUDIES OF TIO2
96
AL2O3 CERAMIC NANO COMPOSITE CAPACITOR
ALARA ULAC, DOGAN AKCAN, MEHMET CAN ALPHAN, LUTFI ARDA, ALI GUNGOR
REACTION OF ACETOPHENONE FORMALDEHYDE RESIN WITH S
TRIAZONE COMPOUNDS FOR FIRE RESISTANCE POLYURETHANE
MINE MUTLU, NILGUN KIZILCAN, AHMET AKAR, NESRIN KOKEN
97
USING A NEW METHOD BASED ON FINSLER GEOMETRY FOR WIND SPEED 98
MODELLING
EMRAH DOKUR, SALIM CEYHAN, MEHMET KURBAN
EFFECT OF INDIUM INCORPORATION ON THE STRUCTURAL AND
OPTICAL PROPERTIES OF ZNS NANOSTRUCTURED FILMS USED AS
WINDOW LAYER IN SOLAR CELLS
TULAY HURMA
99
SYNTHESIS OF GLYCOLURIL DERIVATIVES FOR FIRE RESISTANCE
POLYURETHANE
NILGUN KIZILCAN, ESRA TUNCEL, AHMET AKAR
100
EXPERIMENTAL INVESTIGATION OF HEAT STORAGE BEHAVIOUR IN A
PHASE CHANGE MATERIAL UNDER SOLAR RADIATION
MEHMET EMIN CANLI, ADEM ACIR
101
INVESTIGATION OF NONLINEAR PATHS OF FLUIDS FLOW DETERMINED
BY FINSLER GEOMETRY THROUGH INHOMOGENEOUS POROUS MEDIA
DERYA ULUG, SALIM CEYHAN
102
THE EFFECTS OF INCENTIVES ON RENEWABLE ENERGY RESOURCES FOR 103
HOME USERS
FATIH BULUT, MURAT LUY, ERTUGRUL CAM
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
FREQUENCY MODULATED IMPULSE RESPONSE PHOTOTHERMAL
REFLECTANCE THEORY OF JUNCTION VERTICAL PARALLEL SILICON
SOLAR CELL
GOKHAN SAHIN
104
TRANSMISSION EXPANSION PLANNING INCLUDING POWER LOSS COST
USING LINEARIZED AC MODEL
MEHMET FATIH CANKURTARAN, FARUK UGRANLI, ENGIN KARATEPE
105
EFFECT OF TRISO FUEL OF THE BURNING OF REACTOR GRADE
PLUTONIUM IN CANDU REACTOR
ADEM ACIR, TAHA HUSEYIN MERMER
106
SELECTION OF A SOLAR POWER PLANT LOCATION BY USING AHP
METHOD
OZGE PINAR AKKAS, YAGMUR ARIKAN, ERTUGRUL CAM
107
DETERMINATION OF SOME CHARACTERISTIC PARAMETERS OF
PHOTOVOLTAICS USING DIFFERENT ANALYTICAL METHODS
AYSEGUL TOPRAK, HAMDI SUKUR KILIC
108
SERVO MOTOR DRIVEN HUMAN GYROSCOPE STRUCTURE FLIGHT
SIMULATOR
KURSAD GOV, EYUP YETER, MEHMET HANIFI DOGRU, IBRAHIM GOV, IBRAHIM
HALIL GUZELBEY
109
SHORT TERM FORECASTING OF RENEWABLE ENERGY PRODUCTION
ACCORDING TO DAILY DATA USING ARTIFICIAL NEURAL NETWORK
BAYRAM AKDEMIR, FATIH MEHMET SENALP
110
COMPARISON BETWEEN HORIZONTAL AND VERTICAL PARALLEL
SILICON SOLAR CELL OF A PHOTOCURRENT DENSITY UNDER
MULTISPECTRAL ILLUMINATION
GOKHAN SAHIN
111
FATIGUE ANALYSIS OF LANDING GEAR OF A LIGHTWEIGHT AIRPLANE
IBRAHIM GOV, MEHMET HANIFI DOGRU, EYUP YETER, KURSAD GOV, IBRAHIM
HALIL GUZELBEY
112
STRESS ANALYSES OF DIFFERENT MECHANIC CONNECTION SHAPES
USED TO CONNECT COMPOSITE STRUCTURES
EYUP YETER, KURSAD GOV, IBRAHIM GOV, MEHMET HANIFI DOGRU, IBRAHIM
HALIL GUZELBEY
113
ENHANCEMENT OF PYROPLASTIC DEFORMATION BEHAVIOUR IN
CERAMIC SANITARYWARE FFC SLIPS
NAZIM KUNDURACI, IREM NUR GAMZE SIMSEK, ENGIN KOCAMAN
114
DESIGN AND IMPLEMENTATION OF 3D VISUAL LOCALIZATION SYSTEM
FOR QUADROTORS
TOLGA YUKSEL
115
A NEW BROADBAND REFLECTARRAY ANTENNA WITH MODIFIED
CIRCULAR PATCH
HANDE BODUR, SIBEL UNALDI, SIBEL CIMEN, GONCA CAKIR
116
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
A LOW PROFILE MINIATURIZED BAND PASS FREQUENCY SELECTIVE
SURFACE WITH ANGULAR STABILITY
AYBIKE KOCAKAYA, GONCA CAKIR
117
DESIGN AND OPTIMIZATION OF FRACTIONAL SLOT PERMANENT
MAGNET ASSISTED SYNCHRONOUS RELUCTANCE MOTOR FOR WASHING 118
MACHINE
OMER FARUK PAYZA, GAMZE ODABAS, YASEMIN ERTUGRUL
POSITION CONTROL OF A BALL BEAM EXPERIMENTAL SETUP BASED ON 119
SLIDING MODE CONTROLLER
KAAN CAN, ABDULLAH BASCI
COMPARISON OF FRACTIONAL PI AND CLASSICAL PI CONTROLLER
BASED POSITION CONTROL OF BALL AND BEAM SYSTEM
KAAN CAN, ABDULLAH BASCI, BIROL SOYSAL, ADNAN DERDIYOK
120
MEANWHILE ANATOMY OF GASES WITH STUBBORN GAS SENSORS TO
INCREASE THE DETECTION EFFICIENCY
ALI MARDAN HAMEED QUTUB, ISMAIL SARITAS
121
WIND GENERATION ESTIMATION BASED ON WEATHER FORECASTING IN 122
KIRIKKALE TURKEY
MUSTAFA YASIN ERTEN, HUSEYIN AYDILEK, NIHAT INANC
THE INTERACTION OF THEORETICAL COURSES WITH PRACTICALS AND 123
THE EFFECTS ON SUCCESS CASE OF AN ELECTRONIC LECTURE
PIRIL TEKIN, RIZVAN EROL
IMAGE PROCESSING BASED WEATHER PREDICTION AND OUTDOOR
ACTIVITY DECISION FRAMEWORK WITH SUPPORT VECTOR MACHINES
HUSEYIN AYDILEK, MUSTAFA YASIN ERTEN, NIHAT INANC
EFFECTS OF INVERTER TOPOLOGIES AND MODULATION TECHNIQUES
ON POWER QUALITY ISSUES ON GRID CONNECTED PHOTOVOLTAIC
SYSTEMS
MEHMET CAN ALPHAN, GURKAN SOYKAN, LUTFI ARDA
ECONOMIC EVALUATION OF SOLAR PHOTOVOLTAIC SYSTEMS FOR A
SMART HOME
AHMET NUR, ABDULCELIL BUGUTEKIN
124
125
126
HISTOGRAM BASED VEHICLE LICENSE PLATE RECOGNITION WITH KNN 127
METHOD
SECKIN KARASU, AYTAC ALTAN, ZEHRA SARAC, RIFAT HACIOGLU
ESTIMATION OF FAST VARIED WIND SPEED BASED ON NARX NEURAL
NETWORK BY USING CURVE FITTING
SECKIN KARASU, AYTAC ALTAN, ZEHRA SARAC, RIFAT HACIOGLU
128
SIMULATION OF BROKEN ROTOR BAR FAULT IN INDUCTION MOTORS
CEMIL KOZKURT, MEHMET AKAR
129
RELIABILITY ANALYSIS OF ATAKUM SAMSUN DISTRUBUTION SYSTEM
BY USING MONTE CARLO SIMULATION
FATIH DURMUS, CAGRI KOCAMAN
130
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF A 400 HZ CURRENT SOURCE 1 PH INVERTER TOPOLOGY FOR
AVIONIC SYSTEMS
ERALP SENER, GURHAN ERTASGIN
131
DECOMPOSING LIGHTING COMPONENT OF AN IMAGE A REVIEW
UMIT CIGDEM TURHAL, YAVUZ BUYUKKOCAK
132
DESIGN AND ACTUALISATION OF EOG BASED INTERACTIVE
COMMUNICATIONS FOR ALS PATIENTS
UGUR FIDAN, NESE OZKAN, ALI ISIK
133
EFFECT OF THICKNESS ON THE STRUCTURAL AND OPTICAL
PROPERTIES OF SILAR DEPOSITED CUS THIN FILMS
TUBA CAYIR, YUNUS AKALTUN
134
BARRIER FREE DOOR FOR INDIVIDUALS WHO HAVE A PHYSICAL AND
VISUAL INSUFFICIENCY
FECIR DURAN, TURKAN TEKE, MUSTAFA TEKE, MEHMET GUNES
135
DESIGN OF DIFFERENTIAL RELAY APPLICATION WITH MATLAB
136
SIMULINK FOR PROTECTION OF TRANSFORMER IN ELECTRIC ARC
FURNACE EAF LOADS
MUSTAFA SEKER, MURAT CIKAN, ARIF MEMMEDOV, SERDAR KOCKANAT, HULYA
DOGAN
SYNCHRONIZATION OF THE CHAOTIC SYSTEM WITH GOLDEN
PROPORTION EQUILIBRIA ACTIVE CONTROL VERSUS SLIDING MODE
CONTROL
YILMAZ UYAROGLU, UGUR ERKIN KOCAMAZ
137
LYAPUNOV BASED NONLINEAR CONTROL OF THE LOTKA VOLTERRA
SYSTEM WITH FOUR COMPETITIVE SPECIES
GULTEKIN CAGIL, UGUR ERKIN KOCAMAZ, YILMAZ UYAROGLU
138
MULTIPLE TARGET TRACKING SIMULATION AT AN INTERSECTION
AYKUT GORKEM GELEN, AYTEN ATASOY
139
APPLICATION OF MULTI AGENT SYSTEMS IN MICROGRID CONTROL
ZIYODULLA YUSUPOV, ANIS AMHARIB, NURI ALMARGANI
140
DEMAND SIDE MANAGEMENT APPLICATION FOR THE KIRIKKALE
UNIVERSITY TURKEY
ERTUGRUL CAM, VOLKAN ATES, AYSEGUL AKSAKAL, YAGMUR ARIKAN
141
INVESTIGATION OF CURRENT AND VOLTAGE FLUCTUATIONS IN
ELECTRIC ARC FURNACES WITH THE HELP OF PROBABILITY THEORY
MUSTAFA SEKER, ARIF MEMMEDOV, MURAT CIKAN, HULYA DOGAN, SERDAR
KOCKANAT
142
SERIAL IN PARALLEL OUT DISCRETE FOURIER TRANSFORM
EROL SEKE, ZEYNEP KAYA
143
DESIGN OF X BAND SINGLE LAYER REFLECTARRAY WITH NOVEL
ELEMENT
SIBEL UNALDI, HANDE BODUR, SIBEL CIMEN, GONCA CAKIR
144
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
TIME RESOLVED FLUORESCENCE TECHNIQUE FOR STUDYING
SWELLING PROCESS IN HYDROGELS
DEMET KAYA AKTAS, FILIZ OZTEKIN
BACKGROUND SUBTRACTION TECHNIQUES TO DETECT HUMAN VITAL
SIGNS USING UWB GPR
CANSU BUYUKHAN, SAEID KARAMZADEH, ALPER CALISKAN, MELEK
ORHAN, INCI CILESIZ
145
146
DETECTION OF LESION BOUNDARIES IN BREAST MAGNETIC RESONANCE 147
IMAGING WITH OTSU THRESHOLDING AND FUZZY C MEANS
GOKCEN CETINEL, SEVDA GUL
PERFORMANCE COMPARISON OF REGULAR AND IRREGULAR PILOT
PLACEMENTS IN OFDM SYTEMS
CETIN KURNAZ, BEGUM KORUNUR ENGIZ, FATIH AYVENLI
148
AN AUTOMATIC SYSTEM FOR SEGMENTATION OF AGGREGATE AND
BITUMEN IN ASPHALT CONCRETE IMAGES
ONDER CIVELEK, MEHMET OZTURK
149
A WIRED SENSOR NETWORK FOR THE PURPOSE OF MULTI DETECTION
SYSTEMS
AYHAN YAZGAN, OGUZHAN CAKIR, HUSEYIN ATASOY
150
CURRENT VOLTAGE CURVE PREDICTION OF ANNEALED NI N GAAS SI IN 151
SCHOTTKY BARRIER DIODE USING ANFIS
SERDAR KOCKANAT, HULYA DOGAN, YAVUZ TURKAY, MUSTAFA SEKER, DERYA
BETUL UNSAL CELIMLI, MURAT CIKAN
DESIGN AND SIMULATION OF MINIATURE MICROSTRIP ANTENNA USING 152
CIRCULAR MUSHROOM EBG STRUCTURE FOR WLAN PAN APPLICATION
BELABBAS KHEDEDJA, KHEDROUCHE DJAMEL, HOCINI
ABDESSELAM, BOUGOUTAIA TAHAR
RAPID PROTOTYPING LOW COST SOLAR SIMULATOR FROM OF THE SELF
153
COMPONENTS
LUTFI ARDA, M C ALPHAN, D AKCAN, ALI GUNGOR
154
PID TYPE STR BASED ON SVR FOR NONLINEAR SYSTEMS
KEMAL UCAK, GULAY OKE GUNEL
THE EFFECT OF DISTURBANCES ON GRID TIED POWER CONVERTERS
AND DSOGI BASED POWER CONTROLLER SOLUTION
DOGAN CELIK, M EMIN MERAL
155
PREVENTIVE PROPERTIES OF METAL COMPOSITE FABRICS AGAINST
ELECTROMAGNETIC RADIATION
RUSLAN ABDULLA
156
AN EXPERIMENTAL COMPARISON AND PERFORMANCE ASSESSMENT OF
NONLINEAR CONTROL TECHNIQUES FOR AN INDUSTRIAL AIR HEATING 157
SYSTEM
NECDET SINAN OZBEK, ILYAS EKER
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
THD COMPARISON OF VENTURINI AND SVM ALGORITHMS OF MATRIX
CONVERTERS FOR VARYING SWITCHING FREQUENCY
TOLGA SEN, ATA SEVINC
158
GENETIC ALGORITHM BASED FUZZY LOGIC SYSTEM FOR SHORT TERM 159
LOAD FORECASTING
MURAT LUY, VOLKAN ATES, NECAATTIN BARISCI, ERTUGRUL CAM
DESIGN AND MOTION EQUATIONS OF A ROBOT DEVELOPED FOR USE IN 160
LAPAROSCOPIC SURGERY
SERHAT AKSUNGUR, OGUZ YAKUT
INDUCTANCE AND LOSS BEHAVIORS OF MEDIUM FREQUENCY HIGH
POWER GAPPED CORE INDUCTORS
SELAMI BALCI, M BAHA BAYRAM, NECMI ALTIN, IBRAHIM SEFA
161
PARTIAL GAIN INCREASE AT DESIRED FREQUENCY RANGE FOR UWB
MICROSTRIP ANTENNAS USING BAND STOP FSS
KOMRON HOTAMI, CENGIZHAN MUSTAFA DIKMEN, GONCA CAKIR, AYBIKE
KOCAKAYA, SIBEL CIMEN
162
FRACTIONAL ORDER DISCRETE TIME MODEL ORDER REDUCTION BASED 163
ON SVD APPROACH
KARIMA GHARBI, DAOUD BERKANI
ADAPTIVE CRUISE CONTROL SYSTEM FOR ELECTRIC VEHICLES USING
FUZZY LOGIC
FATIH KARAGOZ, MUZEYYEN SARITAS
164
MULTIMODE LASER DIODE DRIVER DESIGN FOR PHOTODYNAMIC
THERAPY
MUHAMMED GULER, ALI FURKAN KAMANLI, MUSTAFA ZAHID YILDIZ, AYLA
EREN OZDEMIR, HYUN SOO LIM
165
REVIEW OF EXTREMELY LOW FREQUENCY (ELF) ELECTROMAGNETIC
FIELD MITIGATION TECHNIQUES
KENAN OZEL, ILHAN KOSALAY
166
GRAPHICAL STABILIZATION APPROACH FOR UNSTABLE FIRST ORDER
LINEAR SYSTEMS WITH TIME DELAY
ABDELKADER MADDI, ABDERREZAK GUESSOUM, DAOUD BERKANI
167
THROUGHPUT ENHANCEMENT OF MULTIPATH TCP BY SUBFLOW
BANDWIDTH MEASUREMENT IN WIRELESS NETWORKS
MIN SUB KIM, KI MOON HAN, JAE YOUG LEE, BYUNG CHUL KIM
168
A MOBILE APPLICATION DESIGN FOR INTRODUCTION OF DEVICES OF
THE PHYSICS LABORATORY
NIGMET KOKLU, DUNDAR YENER
169
DESIGN OF INTERACTIVE E BOOK APPLICATION FOR PHYSICS COURSE
NIGMET KOKLU, DUNDAR YENER
170
INVESTIGATION OF ATMOSPHERIC ATTENUATION FACTOR FOR HIGH
SPEED TERAHERTZ WIRELESS COMMUNICATION LINKS AT 0 275 THZ
AYHAN YAZGAN
171
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
ANNEALING TEMPERATURE DEPENDENT CHARACTERIZATION OF NI AU
172
N GAN SCHOTTKY DIODE USING ARTIFICIAL BEE COLONY ALGORITHM
HULYA DOGAN, SERDAR KOCKANAT, YAVUZ TURKAY, MUSTAFA SEKER, MURAT
CIKAN, DERYA BETUL UNSAL CELIMLI
PERFORMANCE COMPARISON BETWEEN IP AND MPLS NETWORKS USING 173
OPNET MODELER
ALI GEZER, MARWA KHALEEL
CONTROL OF TRIGLIDE ROBOT WITH ARTIFICIAL NEURAL NETWORKS 174
MUHAMMET AYDIN, OGUZ YAKUT
CENTRE OF MASS MOTION AND THE MOTT TRANSITION IN LIGHT
NUCLEI
AREEJ ABDELRAHMAN, MAHMOUD STATY, HENRRY JAQAMAN
175
CLASSIFICATION OF COMMONLY HEARD LUNG SOUNDS RECORDED IN
SINGLE CHANNEL
SELIM ARAS, MEHMET CINEL, ALI GANGAL
DOGAN YILDIZ, SERAP KARAGOL
176
SELJUK STAR PATCH ANTENNA DESIGN ON WOOLENFELT MATERIAL
FOR WEARABLE 2400 MHZ ISM BAND APPLICATIONS
DILEK UZER, SEYFETTIN SINAN GULTEKIN, RABIA TOP
178
A COMPARATIVE STUDY FOR COOPERATIVE MISSION PLANNING OF UAV 179
SWARM
EBRU KARAKOSE
DETERMINING TWO COMMON POWER QUALITY DISTURBANCES
VOLTAGE SAG AND VOLTAGE SWELL
CAGRI KOCAMAN, MUAMMMER OZDEMIR
180
TIME FREQUENCY GRAY LEVEL CO OCCURRENCE MATRIX
DESCRIPTORS FOR DECEPTION DETECTION
ABDULKADIR SENGUR, SAMI EKICI, YAMAN AKBULUT, TURGUT KAVAS
181
CHARACTERIZATION OF ZNO THIN FILMS DEPOSITED BY PULSED LASER 182
DEPOSITION PLD TECHNIQUE
AHMET TOPRAK, SERAP YIGIT GEZGIN, HAMDI SUKUR KILIC
IMPACT OF BACKGROUND LANGUAGE ON TURKISH TEXT DEPENDENT
SPEAKER VERIFICATION
HAVVA CELIKTAS, CEMAL HANILCI
183
A NEW MODIFICATION ON FORMULATION OF BROADBAND IMPEDANCE 184
MATCHING
METIN SENGUL
PROPERTIES OF MULTILAYERED MG BASED GUIDED MODE RESONANCE 185
FILTERS GMRFS
DUAA ABUMURRA, EDWARD SADER
OBTAINING THE EFFECTS OF THE VOLTAGE SAG DURATION ON
FLUORESCENT LAMPS
MEHLIKA SENGUL
186
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
A MICROSTRIP PATCH ANTENNA DESIGN TO DETERMINE THE LEVEL OF 187
OCCLUSION IN HEART VEIN
RABIA TOP, SEYFETTIN SINAN GULTEKIN, DILEK UZER
IMPROVEMENT OF A SOLENOID FOR ELECTROMECHANICAL VALVE
EMV SYSTEMS
NIDA BIRGUL
188
UNDERSTANDING OF BIPOLAR DISORDER ON RAT BEHAVIORS VIA
NONLINEAR STATE ESTIMATION
AYSEN CETIN KARDESLER, MERIC CETIN, MEHMET DOGAN ELBI
189
PETRI NETS MODELLING OF SMART AGRICULTURAL SYSTEM
HANIFE APAYDIN OZKAN
190
PHOTOELECTRICAL PARAMETER CALCULATION OF METAL ORGANIC
INORGANIC PHOTO DIODE USING AN APPROACH BASED MABC
ALGORITHM
HULYA DOGAN, SERDAR KOCKANAT, YAVUZ TURKAY, MURAT CIKAN, DERYA
BETUL UNSAL CELIMLI
191
ELECTRICAL PARAMETER DETERMINATION OF AL P SI SCHOTTKY
DIODE FROM I V AND C V CURVES USING MABC BASED METHOD
SERDAR KOCKANAT, HULYA DOGAN, YAVUZ TURKAY, MURAT CIKAN, DERYA
BETUL UNSAL CELIMLI
192
LEACH AND AHP BASED CLUSTERING ALGORITHM FOR WIRELESS
SENSOR NETWORKS
GOKCE HACIOGLU, ERHAN SESLI, VOLKAN GANGAL, VOLKAN AYDIN
193
IMPROVEMENT OF AN ELECTROMECHANICAL VALVE EMV SYSTEM
DYNAMIC ANALYSIS AND DETERMINATION OF WORKING LIMITS AT
DIFRENT LIFTINGS
NIDA BIRGUL
194
A COMPARISON OF PSO GA AND NELDER MEAD OPTIMIZATION
195
ALGORITHMS ON BUSBAR TRANSMISSION LINE PARAMETER
EXTRACTION
ZEYNEP HASIRCI, MEHMET OZTURK, RIFAT BENVENISTE, HAYDAR KAYA, ISMAIL
HAKKI CAVDAR
COMPARATIVE PERFORMANCE EVALUATION OF MULTI SOGI PLL FOR
MINIMUM SETTLING TIME AND LOW UNIT VECTOR DISTORTION UNDER 196
DISTORTED CONDITIONS
TUGCE DEMIRDELEN, TAYLAN OZDEMIR, MEHMET TUMAY
197
SLOW LIGHT IN PHOTONIC CRYSTAL WAVEGUIDE
MAACHE MOHSSIN, HOCINI ABDESSELAM, KHEDROUCHE DJAMEL
198
MOVE YOUR WHEELCHAIR WITH YOUR EYES
GOKCEN CETINEL, ZAFER TIRYAKI, ENES KUZU, MELTEM MIILIGUNEY, SEVDA
GUL
ELECTROMAGNETIC DESIGN OF LINE START AXIAL FLUX PERMANENT
MAGNET SYNCHRONOUS MOTORS
MUSTAFA EKER, MEHMET AKAR
Istanbul, Turkey, May 9-12, 2017
199
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International Conference on Advanced Technology & Sciences (ICAT’17)
WIRELESS POWER TRANSFER VIA AIR GAP TRANSFORMER
MUSTAFA OZSOY, ZAFER DOGAN
200
I V AND C V CHARACTERISTICS OF P SI NZNO NRS PHOTODIODES
DEPOSITED BY MW CBD
YASEMIN CAGLAR, KAMURAN GORGUN, MUJDAT CAGLAR, SALIHA ILICAN
201
EFFECT OF MN DOPANT ON THE STRUCTURAL AND MORPHOLOGICAL
PROPERTIES OF ZNO FILMS BY SPIN COATING
SALIHA ILICAN, YASEMIN CAGLAR, MUJDAT CAGLAR
202
COMPARATIVE STUDY ON THE STRUCTURAL MICROSTRUCTURAL AND
OPTICAL CHARACTERISTICS OF DIFFERENT DOPED ZNO NANOPOWDERS 203
BY MW HTS
MUJDAT CAGLAR, KAMURAN GORGUN, SEVAL AKSOY, SALIHA ILICAN, YASEMIN
CAGLAR
MEASUREMENT OF ENERGY CONSUMPTION OF WSN FOR INDOOR
ENVIRONMENT
SEYMA AYMAZ, GOKCE HACIOGLU
204
MULTILAYER PLASMONIC ABSORBER BASED METAMATERIAL FOR
REFRACTIVE INDEX SENSING AND SURFACE ENHANCED SPECTROSCOPY 205
APPLICATIONS
ERDEM ASLAN, EKIN ASLAN, OMER GALIP SARACOGLU, MUSTAFA TURKMEN
REVIEW OF REDUCTION AND SIMPLIFICATION METHODS FOR
TRANSMISSION NETWORKS
ALI AJDER, KADIR DOGANSAHIN, SELIM AY
206
207
DESIGN AND APPLICATION OF PRINTED CIRCUIT TRANSFER MACHINE
MEHMET RAHMI CANAL, MEVLUT AHMET HAS, FECIR DURAN, MERAL OZARSLAN
YATAK
DETERMINATION AND ANALYSIS OF ELECTRIC FIELD STRENGTH
LEVELS IN SAMSUN CITY CENTER
CETIN KURNAZ, BEGUM KORUNUR ENGIZ
208
ILLUMINANT DIRECTION ESTIMATION METHODS
ABDULLAH TAHA ARSLAN, EROL SEKE
209
DESIGNING A 2 D PAINTING ROBOT
HUSEYIN DEDE, HUSEYIN EMRE GUNER, KADIR ERGUNER, BEKIR
KARATAS, OMER AKBAS, H METIN ERTUNC
210
A NEW MODEL FOR MEASURING DIMENSIONAL ACCURACY BRIDGING
AND OVERHANG PERFORMANCE OF FDM 3D PRINTERS
SERDAR KUCUK, NURETTIN GUNES
211
EVALUATING THE PERFORMANCE OF DELTA TYPE 3D PRINTER
CONSIDERING THE INTERNATIONAL TOLERANCE VALUE
SERDAR KUCUK, NURETTIN GUNES
212
AN EASY TO USE JOYSTICK CONTROLLER DESIGN FOR INDUSTRIAL
ROBOTS
SINAN OZCAN, MUSTAFA COBAN, GOKHAN GELEN
213
Istanbul, Turkey, May 9-12, 2017
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International Conference on Advanced Technology & Sciences (ICAT’17)
ROBOT COLLISION AVOIDANCE CONTROL AND MANAGEMENT METHOD
214
FOR INDUSTRIAL ROBOTS IN AUTOMOTIVE INDUSTRY
CENGIZ DENIZ, MUSTAFA CAKIR
INFLUENCES OF ROTOR SLOT DISTANCE ON THE PERFORMANCE OF
SINGLE PHASE INDUCTION MOTOR
AHMET FENERCIOGLU, MERVE SEN KURT
215
MULTI OBJECTIVE H2 HINFINITY CONTROL OF BLADE VIBRATIONS
USING PIEZOELECTRIC ACTUATOR
FEVZI CAKMAK BOLAT, SELIM SIVRIOGLU
216
DETERMINATION OF WEIGHT COEFFICIENTS USING FUZZY LOGIC IN
WEIGHTED 3D DISCRETE WAVELET TRANSFORM
GUZIN OZMEN, BURAK YILMAZ, SERAL OZSEN
217
DUAL BAND PERFECT ABSORBER FOR BIO SENSING APPLICATIONS WITH 218
CARDINAL POINT STAR SHAPED NANOPARTICLES
AYTAC ONUR, MUSTAFA TURKMEN
DESIGN AND DEVELOPMENT OF A BIOTELEMETRY SYSTEM FOR
MONITORING BEDRIDDEN PATIENTS
ILKAY TASLI, ILKER ALI OZKAN
219
WEB BASED FUZZY EXPERT SYSTEM DESIGN FOR DETECTION OF
RHEUMATOID ARTHRITIS DISEASE SEVERITY
FATIH TARAKCI, ILKER ALI OZKAN, SEMA YILMAZ
220
SEMI AUTOMATIC DETECTION OF STOMACH CANCER BY REGIONAL
SEGMENTATION METHODS
ALI YASAR, ISMAIL SARITAS
221
MEASUREMENT OF THE OPTICAL PENETRATION DEPTH IN CHICKEN
BREAST TISSUE
YASAR BARIS DOLUGAN, HALIL ARSLAN, MUSTAFA ZAHID YILDIZ, AYLA EREN
OZDEMIR, ALI FURKAN KAMANLI, AYSE NUR AY
222
THE EVALUATION OF TOTAL OXIDANT AND ANTIOXIDANT LEVELS IN
223
INACTIVE HEPATITIS B PATIENTS WITH DELTA POSITIVE AND NEGATIVE
ILHAN SABANCILAR, TUGBA GUR
MACROMOLECULAR INVESTIGATION OF INTERMOLECULAR
INTERACTIONS DRIVING THE SELF ASSEMBLY OF COLLAGEN BY DLVO
THEORY
ESMA ERYILMAZ
224
ELECTRONIC HEALTH REMOTE EHR CONTROL OF PATIENTS BY
MEDICAL STUDENTS WITH MOBILE AND SENSOR TECHNOLOGY
PINAR KIRCI
225
AUTOMATIC DETECTION OF EPILEPSY USING EEG ENERGY AND
FREQUENCY BANDS
SAMEH BELLGDI, SAMER ARAFAT
226
SERVO MOTOR CONTROL USING PLC
SERHAT AKSUNGUR, TARKAN KOCA
227
Istanbul, Turkey, May 9-12, 2017
1
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARATIVE HDL IMPLEMENTATIONS OF TWO CHAOTIC
GENERATORS
ZEYNEP KAYA1, EROL SEKE2
1
Bilecik Seyh Edebali University, Turkey; 2 Eskisehir Osmangazi University, Turkey
ABSTRACT
Chaos theory based pseudo-random sequence generators find use in secure communication
systems and cryptography. In this paper, comparative FPGA (Field Programmable Gate
Array) implementations of Lorenz and Sprott 94 G chaotic generators are presented.
Designs in HDL (Hardware Description Language) employ 8+40 bits signed fixed point
arithmetic due to the required precision for long sequences. Matlab and ISIM simulations
and comparisons are provided showing that both chaotic generators can be effectively used
in real-time cryptography and secure communication applications.
KEYWORDS - Chaotic generators, FPGA implementation, Sprott 94 G chaotic system,
Lorenz chaotic system
Istanbul, Turkey, May 9-12, 2017
2
International Conference on Advanced Technology & Sciences (ICAT’17)
THE INFERENCE PROCESS OF NONSTATIONARY FUZZY SETS WITH
UNCERTAINTY FOR CYBER PHYSICAL SYSTEMS
HASAN YETIS1, MEHMET KARAKOSE1
1
Firat University, Turkey
ABSTRACT
Because of their reliable, scalable and flexible structure, the applications of CyberPhysical Systems (CPS) are increasing day by day. CPS is a system consisting of cyber
and physical layers, and communication layer between these layers. CPS which have a
wide application area from industrial to medical, are generally used in large-scale and
critical systems. Considering the systems they use, it is very important that the system
operates correctly and consistently. Uncertainties are undesirable situations that pose a
threat to the consistency of the system. To ensure consistency in CPS, the uncertainties
that may arise in these systems are a matter should be addressed. Because CPS has more
than one component and subcomponents, it has more uncertainty source than classical
systems. As is known, fuzzy logic systems consist of clusters used to model uncertainties.
Fuzzy logic systems proposed in type-1, type-2, or different types to model high-order
uncertainties. Nonstationary fuzzy systems are also a fuzzy inference system used to
reduce the computational complexity of type-2 fuzzy logic systems. In this study, a new
approach is proposed to increase the effectiveness especially in CBS by adding random
uncertainty to nonstationary fuzzy systems. The proposed approach first adds random
uncertainties modeled by equations constructed by taking into account the characteristics
of nonstationary fuzzy sets in CPS. Then the nonstationary fuzzy system structure is
realized according to this uncertainty effect which is algorithmically combined. The results
obtained in various scenarios for the approach verified by simulation studies demonstrate
the effectiveness, sensitivity and performance of the proposed approach compared to the
type-1, type-2 and nonstationary fuzzy systems.
KEYWORDS - cyber-pyhsical systems, uncertainty, nonstationary fuzzy, fuzzy systems
Istanbul, Turkey, May 9-12, 2017
3
International Conference on Advanced Technology & Sciences (ICAT’17)
A COMPARISON OF SHORT TERM LOAD FORECASTING METHODS FOR
TURKISH DISTRIBUTION GRID
UGURCAN SENCAN1, GURKAN SOYKAN1, NAFIZ ARICA1
1
Bahcesehir University, Turkey
ABSTRACT
Short Term Load Forecasting (STLF) is a crucial issue for energy market participants, in
various reasons including energy generation planning, networks’ safeness and generation
capacity reserve management. Especially, in the liberalized energy markets, STLF is
mandatory for distribution network utilities. If the forecast is underestimated or
overestimated, it results in financial penalties in the energy markets. All system’s
compensation must have been done according to the STLF results given by demand side to
day-ahead market. If the imbalance occurs in the system due to large forecasting errors,
the responsible side has to meet the imbalance penalty costs. The margin of error on the
hourly demand forecasting should be kept low to minimize the imbalance costs of the
system. In this study, we compare the most popular STLF methods, namely exponential
smoothing, multi-layer perceptron (MLP) and recurrent neural network (RNN), on Turkish
distribution grid in Istanbul’s hourly electricity consumption data of 2015. The forecasting
models use historical load, temperature and calendar days as input. While thirty-nine
weeks’ hourly data is selected as training data, thirteen weeks’ hourly data is used for
analyzing the performance of the methods.
KEYWORDS - Short-term load forecasting, Recurrent Neural Networks, Exponential
Smoothing, Multi-Layer Perceptron
Istanbul, Turkey, May 9-12, 2017
4
International Conference on Advanced Technology & Sciences (ICAT’17)
NON LOCALLY COLOR IMAGE SEGMENTATION FOR REMOTE SENSING
IMAGES IN DIFFERENT COLOR SPACES BY USING DATA CLUSTERING
METHODS
MURAT KARAKOYUN1, ALI SAGLAM1, NURDAN AKHAN BAYKAN1, ADEM
ALPASLAN ALTUN1
1
Selcuk University, Turkey
ABSTRACT
Image segmentation which is generally one of the first step of algorithms for image
processing is an important process that renders the data more meaning full for users. It is a
crucial task for image processing applications. The solution of this task bases on the
principles of the data-clustering problem. Data clustering is to separate the data according
to the similarities or dissimilarities between the data objects. There are many popular dataclustering algorithms, such as K-means, Fuzzy C-means, and K-medoids, that rely on the
global properties of the data and are iterative, i.e. the result of the clustering algorithms
converge the best score gradually. The features of the data which will be used for dataclustering process is also important as much as the algorithm that is to be used. In color
image segmentation, the color values of the pixels of the image are widely used as data
features. The color values vary by different color space systems. We segmented some
remote sensing images, which are taken by airborne sensors getting from ISPRS WG III/4
2D Semantic Labeling dataset, by using different data-clustering algorithms (K-means,
Fuzzy C-means and K-medoids) and different color space systems (RGB, HSV and
L*a*b*). In this paper, we show the accuracy rates of the algorithms for the color space
systems.
KEYWORDS - clustering, image segmentation, k-means, fuzzy c-means, k-medoids, color
spaces
Istanbul, Turkey, May 9-12, 2017
5
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPROVED RAIL SURFACE DETECTION AND CONDITION MONITORING
APPROACH WITH FPGA IN RAILWAYS
ORHAN YAMAN1, MEHMET KARAKOSE1, ERHAN AKIN1
1
Firat University, Turkey
ABSTRACT
Railway transport is the most important means of transport widely used in developed
countries. In recent years, electric trains have been produced in the direction of developing
technologies. Electric trains are comfortable, fast, reliable and environment friendly
compared to other transport vehicles. It requires continuous checking of the rail line for
the safety of railway transport. Failures in the railway can lead to larger failures if not
diagnosed early. Therefore, it is necessary to continuously check the components
constituting the railway line. In this study, an FPGA based method is proposed for rail
surface detection in railway. The proposed method is realized by image processing with
FPGA. The image is taken on the railway line with the camera attached to the FPGA
development board. Pre-processing is performed on the obtained image. Edge extraction is
applied to the image after pre-processing. The rail surface is detected using the image
obtained as a result of edge extraction. The proposed method works in real time to monitor
and diagnose faults. It detects many defects on the track surface. In this study, FPGA
based condition monitoring device was developed. An architecture has been developed for
implementing the proposed method with FPGA. This work using FPGA technology is low
cost and fast compared to other methods. The proposed method is quite advantageous
because of its real-time operation.
KEYWORDS - Railway, Rail surface detection, Condition monitoring, Embeded system,
Image processing
Istanbul, Turkey, May 9-12, 2017
6
International Conference on Advanced Technology & Sciences (ICAT’17)
SENTIMENT ANALYSIS ON TWITTER SOCIAL MEDIA DATA
ISMAIL ISERI1, GOKHAN KAYHAN1, SALIH CAN OZEL1
1
Ondokuz Mayis University, Turkey
ABSTRACT
Due to the widespread use of social media tools over the last few years, massive data has
been generated around the world. According to the Domo’s report, in 2011, 100,000 twits
per minute were thrown, and in 2014, 277,000 twits were thrown per minute on twitter.
Worldwide growth in annual data volume is expected to be 59% and growth will continue
to increase. Researhers are trying to analyse and extract the meaningfull information on
this huge amount of data. There are many different studies this data by using paralel
computing , cloud computing and big data solutions. In this study, sentiment analysis is
performed on data obtained from twitter social media tool by using Hadoop. The aim of
the study is to distinguish or classify the tweets taken with a particular keyword as positive
or negative. To achieve this goal, twitter data was simultaneously obtained by using
Hadoop which is one of the wide used big data tool. After obtaining data from twitter, the
map and reduce algorithms was performed for analysing and calssification of the data. As
a result of the study seventy percent of accuracy value was obtained in the classification of
twits.
KEYWORDS - Social Media Data, Twitter, Sentiment Analysis, Hadoop, Big Data
Istanbul, Turkey, May 9-12, 2017
7
International Conference on Advanced Technology & Sciences (ICAT’17)
AMBIENT MEASUREMENT PLATFORM
NUR IREM EDINC1, MEHMET CAN ALPHAN1, LUTFI ARDA1
1
Bahcesehir University, Turkey
ABSTRACT
With new technologies introduced in our lives, the interaction between machines and
people is increasing. Smart homes, smart transportation, smart appliances, smart grid
systems are part of one of the latest technology branches: Internet of Things, which can be
referred as IoT. Internet of things is a combined system of sensors, actuators and objects
which are connected via services, platforms and networks. Through this communication
structure, IoT allows people to receive or send data, control over mechanical systems,
which aids us to have the latest innovations in not only in household and cities, but also in
healthcare, agriculture, energy management and automation. This paper presents a design
of a IoT system of sensors connected via a web server which allows to be connected
locally or remotely from a Raspberry Pi. The aim of the system is monitoring temperature,
humidity, light intensity and gas measurements in an environment to a website. Also, the
printed data is stored in a database, which allows the user to reach to the past sensor data.
In this design, Raspberry Pi operates as a host of the web server and the database. Sensors
are connected to an Arduino to collect and process the data. Processed data is sent to the
Raspberry Pi via Wi-Fi to provide mobility and possibility of increasing the amount of the
sensor circuits to be used in different ambients, then stored and printed through website.
KEYWORDS - IoT system, Ambient sensing, Smart building
Istanbul, Turkey, May 9-12, 2017
8
International Conference on Advanced Technology & Sciences (ICAT’17)
IMAGE ENCRYPTION BASED ON HAAR WAVELET TRANSFORMATION
AND RC4 ALGORITHM
ELHAM YASIN1, RIDVAN SARACOGLU1, PARISA LARIBI1
1
Yuzuncu Yil University, Turkey
ABSTRACT
Security and privacy of information or data at the show time have turned into a critical
concern. Progressed techniques for secure transmission and recovery of advanced pictures
are progressively required for various military, restorative, country security, and different
applications. Different sorts of strategies for increment security information or data as of
now is created, one basic path is by cryptographic systems. Keep up the security of the
message by changing information or data into an alternate frame, so the message can't be
perceived. This study aims to expect to upgrade security image arrange by joining the
Haar wavelet transformation and RC4 encryption algorithm.Haar wavelet transformation
is used to compress the image for simplicity and high-speed performance. RC4 encryption
is utilized to encrypt the image for image security and transform image safely.
KEYWORDS - Cryptography, Haar Transform, Image compression, Image encryption,
Information security, RC4 stream cipher
Istanbul, Turkey, May 9-12, 2017
9
International Conference on Advanced Technology & Sciences (ICAT’17)
DYNAMICAL STRESS FIELD PROBLEM IN A PRE STRESSED PLATE STRIP
MADE BY COMPOUNDING TWO LAYERS SIDE BY SIDE
AHMET DASDEMIR1
1
Kastamonu University, Turkey
ABSTRACT
Within the scope of the piecewise homogeneous body model with utilizing of the three
dimensional linearized theory of elastic waves in initially stressed bodies (TLTEWISB)
the forced vibration of a bi-layered pre-stressed plate-strip under the action of a timeharmonic force resting on a rigid foundation is investigated. The considered plate-strip is
constituted by compounding two discrete plate-strips side-byside. It is assumed that there
is complete contact interaction at the interface plane between the layers. To investigate the
concrete examples, the materials such as Aluminum and Steel are selected. The
mathematical modeling of the problem under consideration is introduced, and the
governing system of the partial differential equations of motion is numerically solved by
employing Finite Element Method (FEM). In particular, the numerical results
exemplifying the influence of a change in the aspect length of each layer on the dynamic
response of the plate-strip are investigated.
KEYWORDS - Bi-layered plate-strip, finite element method, initial stress, time-harmonic
force, forced vibration
Istanbul, Turkey, May 9-12, 2017
10
International Conference on Advanced Technology & Sciences (ICAT’17)
DEVELOPING INTELLIGENT SYSTEMS WITH CAPACITIVE TOUCH
SENSOR USING WIRELESS SENSOR NETWORKS
MURAT DENER1
1
Gazi University, Turkey
ABSTRACT
As technology develops, the usage areas of Wireless Sensor Networks are also increasing.
Wireless Sensor Networks technology can be used in most intelligent systems because it is
more suitable than wired communication in nature conditions, it is reliable, it has flexible
structure, it provides low cost solution, it can be self-organizing, it can use energy in a
balanced way within the network and it is easy to install. In this study, driver software for
the MPR121 Capacitive Touch Sensor is written and integrated into the WiSeN sensor
node. This sensor is used in many applications. These applications include; General
Purpose Capacitance Detection, Switch Replacements, Touch Pads, Touch Wheel, Touch
Slide Bar, Capacity Near Proximity Detection. Thanks to this study, the values read from
the MPR121 sensor can be transmitted wirelessly and monitored.
KEYWORDS - Wireless Sensor Networks, Capacitive Touch Sensor, Intelligent Systems,
Sensor Node, Gateway Node
Istanbul, Turkey, May 9-12, 2017
11
International Conference on Advanced Technology & Sciences (ICAT’17)
ESTIMATION OF SHORT PERIOD WIND POWER WITH ANN METHOD
BULENT YANIKTEPE1, SAKIR TASDEMIR2, A BURAK GUHER1
1
Osmaniye Korkut Ata University, Turkey; 2 Selcuk University, Turkey
ABSTRACT
As an alternative to carbon-based energy sources, there has been a widespread return to
clean and long-lived resources, called renewable energy, in the world over the past decade.
This can be attributed to the adverse effects of carbon-based resources on the environment
and the existence of certain life-times. Wind energy, which has an important place in
renewable energy resources, stands out in this scope and wind potential studies are
realized. The more stable and higher the wind power in a region, the higher the energy
potential of the investment. For this reason, the most important condition for investing in a
region and on the spot is to determine the wind potential of that region. Due to the
meteorological and geographic parameters affecting the wind power, determining the wind
potential is a difficult and time consuming process. One of the common methods used to
calculate this potential today is artificial neural network method. In this study, estimation
of wind power was investigated by using ANN (Artificial Neural Network) method with
short-period hourly data obtained from meteorological station at Osmaniye Korkut Ata
University. The effect of the Artificial Neural Networks method was successfully
demonstrated by comparing the estimated results of the tested place with the actual
measured values as a statistic.
KEYWORDS - ANN, Renewable energy, Wind Power
Istanbul, Turkey, May 9-12, 2017
12
International Conference on Advanced Technology & Sciences (ICAT’17)
FUZZY POSITION CONTROL APPROACH FOR AN AUTONOMOUS ROBOT
CONTROLLER
ALI CETINKAYA1, NOVRUZ ALLAHVERDI1, AHMED YASSER
AFAGHANI1, TUGBA SARAY1
1
KTO Karatay University, Turkey
ABSTRACT
In this study, the application of position control on a fixed track by an autonomous robot
fuzzy controller approach is realized. For this purpose, a system is designed in which the
real time data exchange can be done both for hardware and software. The embedded
system (Atmel 2560 Integrity) is used in the hardware section to achieve the target
attainment and position control with the fuzzy controller. DC motor, servo motor,
ultrasonic sensor, Bluetooth module and optical sensor are controlled using this system. In
addition, the desktop software is designed using the microcontroller software as well as
Visual Studio 2015 platform using c# language. The coordinates (x, y) and path
information sent by Altu robot (The name of the robot designed for this study) on the
designed track in real time are processed with the fuzzy controller. The obtained data is
displayed with the desktop software, position information, and robot motion map of Altu
robot. Applications using the fuzzy approach are also tested with the conventional control
method and the results are compared. Thus, the fuzzy logic approach has proved that it can
provide more precise control than the conventional approach.
KEYWORDS - Position Control, Autonomous robot, Fuzzy logic
Istanbul, Turkey, May 9-12, 2017
13
International Conference on Advanced Technology & Sciences (ICAT’17)
COST EFFECTIVE ELASTIC MANAGEABLE AND SCALABLE STREAM
DATA ANALYTICS ON DATA DRIVEN ARCHITECTURES
UGUR ARPACI1
1
Bahcesehir University, Turkey
ABSTRACT
Data analysis plays a vitally important for businesses to understand their functionality and
market’s requirements. The data mentioned here is user generated, therefore it shows their
behaviour, requirements, demands from the first hand. Almost on every business or
practical cases this is the common case. However analyzing and implementing such
infrastructure comes with challenges and investments in terms of finance and time. Since
this is a multi-disciplinary business area, the analysis of data could be applied by multiple
different teams with different professionalism and educational backgrounds. On the other
hand, the common practical part of these disciplines is the demand of flexible, cost
effective and scalable tools and services so that their analysis can run without any glitch.
This study states a set of applicable and battle tested infrastructures about big data analysis
by always holding the following concepts in mind: cost effectivity, flexibility and being
generic. Architectures mentioned here will be ‘serverless’ and data driven which does
require the least operational effort to execute a big data pipeline. Future work will be
automating and deploying the architecture in a couple of minutes in a scalable
configuration.
KEYWORDS - Big Data, Stream Analytics, Serverless Architectures, Data Driven, Cloud
Computing
Istanbul, Turkey, May 9-12, 2017
14
International Conference on Advanced Technology & Sciences (ICAT’17)
GIS BASED WHEAT QUALITY MAP KONYA PROVINCE APPLICATION
ABDULLAH OKTAY DUNDAR1, MAHMUT TEKIN1 , KENAN PEKER2 , MEHMET
AKIF SAHMAN1
1
Selcuk University, Turkey; 2 Firat University, Turkey
ABSTRACT
Wheat production costs in Turkey are high because wheat growing enterprises are small in
area and the production is generally not carried out at barren land. The increase in wheat
production cost is deflected to wheat-based production enterprises and then to consumers.
Having an important position, especially in world flour exports, Turkey’s sustainable
competitive advantage is of great importance for the country’s economy. Enterprises in the
wheat sector are having difficulty accessing the quality wheat they want: they need a
wheat-quality map. The preparation of a wheat quality map in Konya, the grain warehouse
for Turkey, will help suppliers with supply chain arrangements, warehouse location
selection, and transportation costs. Costs will be saved by managing resources properly. In
this study, the Konya province Bread Wheat Quality Map was established for use in
management of the wheat supply chain. Accordingly, bread wheat samples were collected
from 3100 farmers in a range of production capacities in Konya province. Sample analysis
was conducted using the NIR device by Ova Wheat Factory, Inc., which is among the top
500 industrial establishments in Turkey. The results of this analysis were processed in
MapInfo Professional Release Build 16 Version 11.5 program; this created theKonya
province Bread Wheat Quality Map. The bread wheat quality map will assist efficient
management of the wheat supply chain, resulting in quality improvement and cost
reductions. This study is a part of the research which is founded by the Ministry of
Science, Industry and Technology as SANTEZ project No: 0509.STZ.2013-2 for a Ph.D.
thesis.
KEYWORDS - bread wheat, quality map, GIS, wheat supply cahin management
Istanbul, Turkey, May 9-12, 2017
15
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON HYBRID METHODS IN FEED FORMULATIONS
MEHMET AKIF SAHMAN1, ADEM ALPASLAN ALTUN1, ABDULLAH OKTAY
DUNDAR1
1
Selcuk University, Turkey
ABSTRACT
Feed costs represent the largest expense for companies engaged in animal husbandry.
Animal feed-producing enterprises face problems that include raw material costs, qualitystandard product production, and sustainability. Overcoming these problems will
contribute greatly to both feed-producing and feed-consuming enterprises. At present,
companies that produce feed must establish factories in different locations to be close to
raw material resources or livestock firms. The common and effective use of these raw
materials in the factories is important. This study proposes a mixed integer linear
programming model to provide data to help solve these problems for the feed producers.
The proposed model will be analyzed the by Hybrid Linear Binary PSO (H-LBP) and HLBD (Hybrid Linear Binary DSA) hybrid approaches, providing decision makers with
alternative solutions that can support sustainability. By comparing the results generated by
the proposed approaches, the differences between them will be revealed.
KEYWORDS - Feed formulations, Hybrid methods
Istanbul, Turkey, May 9-12, 2017
16
International Conference on Advanced Technology & Sciences (ICAT’17)
THE MOBILE APP TO ASSIST WITH TATTOO ENCODED BABY
IMMUNIZATION RECORDS IN AFRICA
BONGKEUM JEONG1, JESUS IBANEZ2, NUNO NUNES3, MONCHU CHEN4
1
Madeira Iti University of Madeira, Portugal; 2 Madeira Iti University of Madeira,
Spain; 3 Institution Superior Tecnico, Portugal; 4 Hewlett Packard, United States
ABSTRACT
Abstract— This paper describes the design and implementation of a mobile application
that assists with the interpretation and generation of tattoos which encode immunization
records. That explains the application of ethnography design, in a broad way, to solve the
issues of the vaccination system for children in Africa. We have derived the “tattoo of
Africa” concept from a design that reflects African cultural backgrounds and have linked it
with the health service design process. Tattoos, which have been common in Africa for
thousands of years, have been redefined as a new ritual for child health records. Our
design is applied to two different artefacts: a baby guide book and a baby bracelet. We
also describe our first prototype of the baby bracelet and its related App. The bracelet,
which contains an NFC tag with information about the baby’s vaccinations, can be read
from or written to any NFC-enabled Android smartphone via the visual interface of the
related App.
KEYWORDS - Ethnography Design Methods; Cultural Implications; Tattooing as a New
Ritual; Child Health Record; Mobile App with NFCEthnography Design Methods;
Cultural Implications; Tattooing as a New Ritual; Child Health Record; Mobile App with
NFC
Istanbul, Turkey, May 9-12, 2017
17
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW APPROACH BASED ON IMAGE PROCESSING FOR MEASURING
COMPRESSIVE STRENGTH OF STRUCTURES
MEHMET BAYGIN1, SUAT GOKHAN OZKAYA1, MUHAMMET ALPEREN
OZDEMIR2, ILKER KAZAZ3
1
Ardahan University, Turkey; 2 Igdir University, Turkey;
3
Erzurum Technical University, Turkey
ABSTRACT
The compressive strength factor in civil engineering is a very important parameter used to
determine the performance of structures. The stability of structures can be tested with this
parameter which is used to measure the performance of concrete under different loads.
This parameter, which should be determined for the safety of the structures, is usually
based on experimental analyses performed in the laboratory environment. In this study, a
new approach to compressive strength measurement in civil engineering is proposed. With
this approach, which is based on image processing, measurement of compressive strength
parameter of concrete samples taken from structures is performed. For this purpose,
images of concrete specimens with different strengths are taken and these images are
divided into two groups as training and test set. Then, image processing algorithms are
applied to these images and the compressive strength of concrete specimens is calculated.
It has been determined that the approach suggested in the test runs performed with an error
rate of about 1-2%.
KEYWORDS - Image processing, Compressive Strength, Concrete
Istanbul, Turkey, May 9-12, 2017
18
International Conference on Advanced Technology & Sciences (ICAT’17)
A REVIEW OF SMART HOME SYSTEMS
MOHAMMED QAIMAZ ALI1, ISMAIL SARITAS1
1
Selcuk University, Turkey
ABSTRACT
The general state of intelligent home systems, which are now becoming very publicspecific for residential buildings, is that they are simply designed for comfort. This is not
enough, with the general state being correct that they are designed as comfort. Smart home
systems can have comfort and rescue features in situations where living spaces can
threaten human life and property with comfort. In this article, it is important to note that
the dialogue of intelligent home systems can be put in place for the control and
management of possible emergency situations and the information required to design the
infrastructure of the houses / buildings accordingly, and to identify the deficiencies during
the projecting phase and to share them with project managers, operators and supervisory
colleagues, Withdrawal is intentional.
KEYWORDS - Smart, Home System, Smart Home System
Istanbul, Turkey, May 9-12, 2017
19
International Conference on Advanced Technology & Sciences (ICAT’17)
A MULTI PURPOSE MOBILE APPLICATION FOR EMBEDDED SYSTEMS
FECIR DURAN1, HATICE TIRASOGLU1
1
Gazi University, Turkey
ABSTRACT
Nowadays, Embedded Systems are used in many areas to perform many specific tasks.
These systems usually communicate with mobile devices. Also they have wireless control
and monitoring function. Each embedded system designer develops own algorithm and
mobile software according to their needs, causing unnecessary time loss. In this paper, the
functional mobile application has been presented for monitoring and control of the
embedded systems via Bluetooth. In addition an accessibility protocol developed for
communication to all kinds of embedded the system. This application provides real-time
instant value monitoring, graphics based monitoring and control functions to the
developers.
KEYWORDS - Mobile Application, Android, Bluetooth, Remote Control, Embedded
Systems
Istanbul, Turkey, May 9-12, 2017
20
International Conference on Advanced Technology & Sciences (ICAT’17)
OBJECT DETECTION AND SEGMENTATION ON APPLE TREE IMAGES BY
USING MORPHOLOGICAL OPERATIONS AND VERTICAL AND
HORIZONTAL HISTOGRAM VALUES
SUMEYYA ILKIN1, MERVE TAFRALI1, SUHAP SAHIN1, BURAK INNER1
1
Kocaeli University, Turkey
ABSTRACT
In this paper, an algorithm for detection of apples in apple tree images is proposed. We
describe an approach that allowing the user to count apples on tree images interactively
using an application. In our algorithm, analysis of apples in tree images is made by using
basic morphological operations and vertical and horizontal histogram values. Our
algorithm begins with take apple tree images from a digital camera. And then in this
algorithm, basic morphological operations are used in apple detection process for counting
apples on the trees. In this way it is possible to allowing the user to obtain a general idea
about number of apples which he has in his apple trees. By using this information the user
can manage to estimate to earnings of his goods. The proposed study compares the output
of the algorithm with the ground truth and measures the differences according to
application results. We apply this methodology in order to assess how well it can detect
apples in apple tree images. The experimental results show that the proposed algorithm is
quite efficient for gaining the information of number of apples.
KEYWORDS - Vertical and horizontal histogram, morphological operations, pattern
recognition, object detection, image processing.
Istanbul, Turkey, May 9-12, 2017
21
International Conference on Advanced Technology & Sciences (ICAT’17)
HOSPITAL PERFORMANCE EVALUATION A FUZZY DATA ENVELOPMENT
ANALYSIS APPROACH
ELIF DOGU1, MICHELE CEDOLIN1, Y ESRA ALBAYRAK1
1
Galatasaray University, Turkey
ABSTRACT
Service performance evaluation is still a contemporary interest area that relies mutual
parties, namely providers, clients and policy makers. With the new technological and
economic developments and increasing competitive conditions in health care sector, the
patients’ expectations are rising above their needs, and thus the performance evaluation of
health care systems and institutions orientates to a more uncertain environment. In the
literature, there are several articles that evaluate clinics, physicians or hospitals,
considering criteria that can be evaluated quantitatively (number of beds, number of
physicians…), whereas the expectations of customers, that generally reflect to the models
via criteria that assessed qualitatively (empathy, reliability…) are ignored in most cases. In
this paper, throughout a literature survey, the criteria that affect both technical efficiencies
(crisp data set) and patients’ expectations (fuzzy data set) are determined in order to
evaluate hospital performances of Istanbul. Alternatives are assessed by decision makers
and a non-parametric decision making tool that incorporates fuzziness into the problem is
employed to reach a ranking among the alternatives.
KEYWORDS - Service Perfomance, Hospital Evaluation, MCDM, DEA, Fuzzy Decision
Making, Quality Assessment
Istanbul, Turkey, May 9-12, 2017
22
International Conference on Advanced Technology & Sciences (ICAT’17)
EVALUATION OF CUSTOMER SATISFACTION FACTORS IN HOUSING
INDUSTRY AND SELECTION OF THE BEST PROJECT USING AHP AND
TOPSIS METHODS
MICHELE CEDOLIN1, ELIF DOGU1, Y ESRA ALBAYRAK1
1
Galatasaray University, Turkey
ABSTRACT
Housing industry is one of the leading and fastest growing industries in Turkey, in recent
years. Growing sectors represent highly competitive market structures. For acquiring
competitive advantage, companies need to clearly define their target markets and
positioning strategies. In order to increase their customer satisfaction and customer
loyalty, the companies of this industry focus on Customer Relationship Management
(CRM) activities. CRM represent all the actions that a company makes in order to
determine, acquire, develop and retain loyal and profitable customers by delivering the
right product or service to the right customer, from the right channel, at the right price.
High-budget projects of housing industry have a greater risk and therefore need to fully
meet customer expectations. There exist many factors influencing new project decisions;
selecting the best project is a Multiple Criteria Decision Making (MCDM) problem. In this
study, in the first step the factors directly affecting customer satisfaction in the housing
industry are determined by taking expert opinions and conducting literature research.
Three criteria and thirteen sub-criteria are defined and evaluated; their weights are
calculated using AHP method. In the second step, these weights are used as inputs and
among three different new project alternatives; the best project is selected with project
data and expert decisions using the TOPSIS method.
KEYWORDS - MCDM, AHP, TOPSIS, Housing industry
Istanbul, Turkey, May 9-12, 2017
23
International Conference on Advanced Technology & Sciences (ICAT’17)
CLASSIFICATION OF ECG SIGNALS BY THE ENSEMBLE LERARNING
METHODS
CIGDEM BAKIR1
1
Yildiz Technical University, Turkey
ABSTRACT
In this study, non-linear dimension reduction methods such as PCA, LDA were applied to
ECG signals and success of such dimension reduction techniques for the classification and
segmentation of ECG signals were discussed. As classification method, such as bagging,
boosting and random subspace, ensemble methods have been chosen. Because ensemble
learning methods are powerful and popular classifiers. Also, segmentation of data through
neighbourhood feature extraction (NFE) method were enabled by transiting from high
dimensioned space to low dimension space by considering the longitudinal combination of
ECG signals. Results classification results of NFE algorithm performed through
longitudinal combination and as a newly developed method were compared with
classification results of ECG signals obtained through dimension reduction by taking one
ECG instance. Results of NFE dimension reduction technique performed by considering
the neighbour ECG instances, advantage of effect on segmentation of ECG signals were
presented at empirical results section and the success of suggested method was indicated.
In addition, ensemble learning methods results were presented comparatively.Results
obtained by performed study are promising for the studies to be conducted in further
period.
KEYWORDS - Ensemble learning, ECG, Classification
Istanbul, Turkey, May 9-12, 2017
24
International Conference on Advanced Technology & Sciences (ICAT’17)
INVESTIGATION OF E LEARNING APPLICATIONS IN CIVIL ENGINEERING
ALI ERDEM CERCEVIK1, NIHAN KAZAK1
1
Bilecik Seyh Edebali Universty, Turkey
ABSTRACT
E-learning has emerged with the increasing use of computers and internet worldwide. Elearning is a personal interactive learning platform. Active learning can be done at home at
any time with this system. Civil engineering education is also generally based on theory.
In the recent past, e-learning have been considered as effective learning techniques for all
lessons except practice and fieldwork. However, studies and technological developments
have shown that e-learning can be used for fieldwork. In this study investigated that elearning for civil engineering. The applications in our country and world, advantagesdifficulties are discussed. The use of new technologies in e-learning has been researched
such as virtual reality. It has been shown that E-learning is very effective learning and
practise for future civil engineering education.
KEYWORDS - E-learning, Civil Engineering, Active Learning, Engineering Education,
Virtual Reality.
Istanbul, Turkey, May 9-12, 2017
25
International Conference on Advanced Technology & Sciences (ICAT’17)
DATA MINING APPLICATIONS IN DIAGNOSIS OF SYMPTOMS
HARUN OZKISI1, MURAT TOPALOGLU1
1
Trakya University, Turkey
ABSTRACT
Taking into account the dietary habits of today, it has become very common for people to
have diabetes. When the importance of human health is considered, the correct diagnosis
of a person suffering from any illness is of great importance for the positive outcome of
treatment. In addition, the duration of treatment for a correctly diagnosed disease is
shortened and the negative situations that may arise as a result of misdiagnosis are
avoided. The application of data mining in the field of accurate diagnosis in the field of
health reveals significant results. Decision trees are obtained by analyzing the actual data
obtained from this field by means of data mining methods. Decision trees are created with
decision support systems to prevent misdiagnosis. In this study, it is aimed to apply data
mining related to the diagnosis of diabetes according to the symptoms. The data recorded
by a health facility was categorized by expert opinion before being analyzed. Then, the
data mining method was used to obtain decision trees from these data. The analysis was
performed using the WEKA package program. As a result, in this study, a decision tree is
revealed about the diagnosis of the disease with the help of diabetes findings.
KEYWORDS - Data Mining, Decision Tree, Diabetes.
Istanbul, Turkey, May 9-12, 2017
26
International Conference on Advanced Technology & Sciences (ICAT’17)
USING RDF SUMMARY GRAPH FOR KEYWORD BASED SEMANTIC
SEARCHES
SERKAN AYVAZ1, MEHMET AYDAR2
1
Bahcesehir University, Turkey; 2 Kent State University, United States
ABSTRACT
The Semantic Web began to emerge as its standards and technologies developed rapidly in
the recent years. The continuing development of Semantic Web technologies has
facilitated publishing explicit semantics with data on the Web in RDF data model. This
study proposes a semantic search framework to support efficient keyword-based semantic
search on RDF data utilizing near neighbor explorations. The framework augments the
search results with the resources in close proximity by utilizing the entity type semantics.
Along with the search results, the system generates a relevance confidence score
measuring the inferred semantic relatedness of returned entities based on the degree of
similarity. Furthermore, the evaluations assessing the effectiveness of the framework and
the accuracy of the results are presented.
KEYWORDS - Semantic Web, Semantic Search, RDF, Graph Summarization, Ontology
Istanbul, Turkey, May 9-12, 2017
27
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF WEB BASED MONITORING SYSTEM FOR TOMCAT
APPLICATION SERVER
GOKHAN KAYHAN1, ISMAIL ISERI1, HAKAN KABASAKAL1
1
Ondokuz Mayis University, Turkey
ABSTRACT
Servers are just as important as the useful applications for Information Technologies.
Server Management Tools are very crucial and helpful for management of application
servers. System administrators need to monitor all the features of servers by using web
applications. In this study, a monitoring tool which is web based Java Application was
developed for management of Tomcat Application Server. Java Management Extension
(JMX) must be used to read and write administrative information for the application
server. It is sufficient to enable remote access for JMX with given Java Virtual Machine
(JVM) parameters when the tomcat server starts. As a result, many meta data such as
response times and ready times of the Tomcat Application server can be monitored with
the developed tool and the applications running on the server are managed more
effectively according to the resource usage.
KEYWORDS - Application Servers, Server Monitoring, Server Management, JMX, JVM
Istanbul, Turkey, May 9-12, 2017
28
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW STUDY OF K MEANS ALGORITHM IN BOSPHORUS AND
DARDANELLES STRAITS DATABASE
AYLA SAYLI1, TUGCE SERT1
1
Yildiz Technical University, Turkey
ABSTRACT
Data mining information and knowledge from large datasets in order to find data analytics
and use them for better designing and modelling in many areas such as market sales,
market basket analysis, customer relationship management, medical science, finance
analysis, fraud detection. A model has been generated by clustering algorithms in order to
cluster the data according to similarity. Clustering plays a very important role in exploring
data, creating approximations and also it is practical for grouping together users with
similar behaviours’ so that mutual models can be built for them. Many clustering
algorithms have been developed and are categorized from several aspects which are
Partitioning Methods, Hierarchical Agglomerative, Density based methods, Grid based
methods, and Model based methods. In this study, K-Means clustering algorithm is
focused on. This algorithm is one of Partitioning methods. It has been coded in Windows
Forms Application on Microsoft SQL Server database and also implemented in R-Studio.
Elbow method is implemented in R-Studio and then it estimates the right number of
clusters for the algorithm. Dataset used in this study is obtained from Maritime
Transportation Data of Turkish Statistical Institute. This data is analysed in our application
and clustered according to the number of vessels and total tonnage carried by the vessels
passed through the Bosphorus (Istanbul) and the Dardanelles (Canakkale) for last decade.
Computational results shows that this algorithm is very promising and interesting.
KEYWORDS - Data Mining, Cluster Analysis, K-means, Windows Form Application, RStudio
Istanbul, Turkey, May 9-12, 2017
29
International Conference on Advanced Technology & Sciences (ICAT’17)
DECISION TREE RESEARCH APPLICATIONS OF ID3 AND C4 5
ALGORITHMS
AYLA SAYLI1, TUGCE SENTURK1
1
Yildiz Technical University, Turkey
ABSTRACT
Data mining is the process of acquiring useful, previously unknown and potentially
applicative information from the data in order to make future decisions better. It allows
users to analyse data from many categories and to summarise relationships identified.
Several methods & algorithms are available in Data Mining which are collected under four
common classes of techniques: Classification, Clustering, Association Rule Learning and
Regression. Classification which is the process of separating observations into classes is
the most widespread method for finding the mine rule from huge databases. Various
algorithms exist in classification such as; KNN, Bayes Classifier, Artificial Neural
Networks, Genetic Algorithms. The simplest one is Decision Tree method which plays a
fundamental role to classify and to predict for data analyses due to its simple structure to
understand& interpret .In other words, the decision tree method is easier way by analysing
data partly faster when it is compared to the other classification algorithms. In this project,
ID3 and C4.5 algorithms which were introduced by J. R. Quinlan have been used for “Red
Wine Quality” dataset to determine which attributes of this dataset affect the its quality
hierarchically . The objective of this paper is to present comparison of these two
algorithms that have been coded in Visual Studio Console Application using C# as
programming language for ID3 algorithm and in WEKA for C4.5 algorithm. As a
consequence, its results are obtained and they show that these algorithms can be used
effectively.
KEYWORDS - Data Mining, Classification, Decision Tree, ID3, C4.5, Visual Studio
Console Application, WEKA
Istanbul, Turkey, May 9-12, 2017
30
International Conference on Advanced Technology & Sciences (ICAT’17)
MP DDOSER IP KILLER TESTING BEHAVIOR OF IP KILLER DDOS BOT IN
THE DETER TESTBED
TUAGHMOHAMMAD KALTE1, GOKHAN DALKILIC1
1
Dokuz Eylul University, Turkey
ABSTRACT
The denial of service (DoS) attack and its distributed sort, the DDoS attack, are potentially
very dangerous attacks, which can put down web and application servers throughout the
World. Several provider companies support their customers via the Internet, yet those
individuals who have malicious intentions are threatening them. The DDoS attackers use
different methods to attack their victims, one popular choice among these is the use of bot
tools. Researchers intensely try to find out solutions to DDoS attacks, so they analyze the
behavior of these sort of attacks. But they have issues for testing scenarios in the real
implementations, hence testers use simulation or emulation methods to address this
situation. This study is focused on one of the attacking tools called IP-Killer. IP-Killer (or
MP-DDoser) is solely a DDoS bot, which contains many different DDoS attack rules.
Here we test its attacking rules with an emulation environment to show the impact of the
tool. Thus we have decided to use DETER Cybersecurity Testbed for our attacking tests,
which has many special abilities for testing cyber-attacks and this might represent a real
world scenario better. This paper covers the analysis of IP-Killer and its behavior during
DDoS attacks, and measurement of the outcomes. We have taken the bandwidth, the CPU
and RAM usages into consideration. Then we showed the test results in the graphs. Lastly,
we discovered that UDP method consumes the largest bandwidth, while RAM usage and
CPU utilization are consumed most by the HTTP GET method.
KEYWORDS - DDoS, Botnet, MP-DDoser (IP-Killer), The DETER, DDos
Istanbul, Turkey, May 9-12, 2017
31
International Conference on Advanced Technology & Sciences (ICAT’17)
A DEEP LEARNING APPROACH FOR OPTIMIZATION OF SYSTEMATIC
SIGNAL DETECTION IN FINANCIAL TRADING SYSTEMS WITH BIG DATA
H SERCAN KARAOGLU1, SERKAN AYVAZ2, UGUR ARPACI1
1
Foreks Bilgi Iletisim Hizmetleri A. S., Turkey; 2 Bahcesehir University, Turkey
ABSTRACT
Expert systems for trading signal detection have received considerable attention in recent
years. In financial trading systems, investors’ main concern is determining the best time to
buy or sell a stock. The trading decisions are often influenced by the emotions and feelings
of the investors. Therefore, investors and researchers have aimed to develop systematic
models to reduce the impact of emotions on trading decisions. Nevertheless, the use of
algorithmic systems face another problem called “lack of dynamism”. Due to dynamic
nature of financial markets, trading robots should quickly learn and adapt as human
traders. Recently, a solution for detecting trading signals based on a dynamic threshold
selection was proposed. In this study, we extend this approach by adopting several
different rule based systems and enhancing it by using the Recurrent Neural Network
algorithm. Recurrent Neural Networks learn the connection weights of subsystems with
arbitrary sequences of inputs that make them a great fit for time series data. Our model is
based on Piecewise Linear Representation and Recurrent Neural Network with the goal of
detecting potential excessive movements in noisy stream of time series data. We use an
exponential smoothing technique to detect abnormalities. Trading signals are produced
using fixed time interval data from Istanbul Stock Exchange. The evaluations indicated
that our model produces successful results in trading data. Future work will focus on
further improvements and scalability of the model.
KEYWORDS - Big Data, Machine Learning, Recurrent Neural Networks, Expert Systems,
Trading Systems.
Istanbul, Turkey, May 9-12, 2017
32
International Conference on Advanced Technology & Sciences (ICAT’17)
A WEB AND MOBILE BASED APPLICATION MONITORING AIR POLLUTION
INSTANT PARAMETERS USING CURL IN PHP
ABDURRAHMAN OZBEYAZ1, YAVUZ DEMIRCI1
1
Adiyaman University, Turkey
ABSTRACT
Air pollution is one of the main problems for humanity. Especially, this pollution occurs
via transportation, warming, agriculture and industry. The quality of air in terms of
pollution changes according to the intensity of air pollutants in atmosphere. Monitoring air
quality is crucial for asthma sufferers and people affected by air pollution. These persons
want to monitor by their mobile phones. In Turkey, air quality monitoring stations are
established by Environment and Urban Ministry for each province. These stations have
been hourly measuring air pollutant parameters according to its places. While some of
stations only measure PM10 and SO2, another one measures PM10, SO2, NO2 and etc.
According to these parameters, air quality indexes are instantly calculated for each station
daily. These parameters have been publishing on the web page of ministry. In this study, a
new web based application publishing PM10, SO2 and AQI values belonging to
Adıyaman province instantly is developed in PHP with CURL. This application is parsing
the current web address. Furthermore; developed application has been offering service in a
web server located in Adiyaman University. Also, the mobile application has been
developed in Android. Thus, the air quality parameters can be instantly monitored from
our mobile phones. In this paper, such a system with web and mobile base is detailed
described. And this study reveals such a need including mobile based application
measuring air quality parameters according to provinces.
KEYWORDS - Air Pollution, Monitoring System, Web programming, PHP, Android
Istanbul, Turkey, May 9-12, 2017
33
International Conference on Advanced Technology & Sciences (ICAT’17)
USING DATA MINING AND FUZZY RANKING METHODS FOR
DETERMINING SIGNIFICANCE LEVELS OF ASSOCIATION RULES
MELDA KOKOC1, ADNAN AKTEPE1, SULEYMAN ERSOZ1
1
Kirikkale University, Turkey
ABSTRACT
Data mining methods have become more prominent with the spread of the notion of big
data. These techniques are used for filtering and analyzing the information required in
production and service systems. Fuzzy logic, which allows for different analyses to be
integrated with data mining, facilitates the analysis of incomplete or subjective data. In
this study, data mining and fuzzy ranking methods are applied in an emergency service.
Support and confidence values of inter-departmental of emergency service relations were
found by applying Apriori algorithm, GRI algorithm, and CARMA algorithm, using in
SPSS Clementine software. Confidence values for the three algorithms are divided into
quarter intervals and four intervals are obtained in order to facilitate the calculation of the
significance level of the relations. This interval is one of three criteria considered for
ranking the significance level of relationships between emergency services departments.
Other two criteria, "the number of algorithms" and "the direction of the relationship" were
calculated according to the three algorithms in SPSS Clementine. As a result of the
analysis of these criteria, the fuzzy ranking was used to determine the significance levels.
The fuzzy ranking was carried out using Fuzzy Logic Designer module of Matlab R2009a.
In the program, firstly the input units (criteria) and the output units (groups) of the
algorithm were considered. In order for the module to be able to decide, the decision rules
created through the expert opinion used. Since the properties of relations were inputted on
the resulting interface of the program, the importance of each relation was found and
ranked. With the help of this study, data mining and fuzzy ranking were used to determine
signification levels of the association rules and it was applied in emergency service.
KEYWORDS - Fuzzy Logic, Data mining, Emergency Service, Service system,Fuzyy
Ranking
Istanbul, Turkey, May 9-12, 2017
34
International Conference on Advanced Technology & Sciences (ICAT’17)
CLASSIFICATION OF TREE SPECIES IN A FOREST BY ARTIFICIAL
NEURAL NETWORK USING ASTER SATELLITE IMAGES
MUSTAFA BUBER1, MUHAMMED FAHRI UNLERSEN2, KADIR SABANCI3
1
Doganhisar Vocational School, Turkey; 2 Necmettin Erbakan University, Turkey;
3 Karamanoglu Mehmetbey University, Turkey
ABSTRACT
Remote sensing is information acquisition from objects without any physical contact. It is
used in various areas from earth sciences like hydrology, ecology, oceanography,
glaciology etc. to military applications. One of the areas where remote sensing is most
useful is the forest investigations. Forests always have areas which is very difficult to
achieve. Due to this fact, the remote sensing can be very useful to use the classification of
tree types in a forest. In this study, photographs taken by ASTER satellite imaging have
been used to determine tree types to create a forest map. The ASTER satellite imagery has
contains images that taken in various wave length. The dataset is taken from a forested
area in Ibaraki Prefecture, Japan. The most dominant tree species in this forest are
Cryptomeria japonica (Sugi) and Chamaecyparis obtusa (Hinoki). In this study, the
estimation of tree species has been done by using many types of Artificial Neural
Networks (ANN). Number of neurons in the hidden layer of the ANN has been changed
from 1 to 20 to determine the best ANN structure which estimate the tree species. The
effects of change of activation function of the layers on the results have been investigated.
Hyperbolic tangent sigmoid (Tansig), Logarithmic Sigmoid (LogSig) and Linear (PureLin)
transfer functions have been used as activation function. The prepared ANN structures
have been trained various training functions like Resilient backpropagation
(traingdx),Gradient descent with momentum and adaptive learning rate backpropagation
(traingdx), Bayesian regularization backpropagation (trainbr), Conjugate gradient
backpropagation with Fletcher-Reeves updates (traincgf), Gradient descent
backpropagation (traingd), Gradient descent with momentum backpropagation (traingdm),
Levenberg-Marquardt backpropagation (trainlm), Scaled conjugate gradient
backpropagation (trainscg). All of the results of the researches have been compared and
the best results have been obtained as 0. 501 RMSE and 0.225 MAE. The structure that
has the best results, has consisted of 11 neurons in the hidden layer with PureLin
activation function. And this structure has been trained by Conjugate gradient
backpropagation with Fletcher-Reeves updates function.
KEYWORDS - Classification of Tree,Artificial Neural Network,ASTER Satellite Images
Istanbul, Turkey, May 9-12, 2017
35
International Conference on Advanced Technology & Sciences (ICAT’17)
DIAGNOSIS OF MESOTHELIOMA DISEASE USING DIFFERENT
CLASSIFICATION TECHNIQUES
KEMAL TUTUNCU1, OZCAN CATALTAS1
1
Selcuk University, Turkey
ABSTRACT
Mesothelioma, which is a disease of the pleura and peritoneum, is an asbestos-related
environmental disease in undeveloped countries although developed countries in the west
have an asbestos-related illness. In spite of the incidence of this disease is lower than that
of lung cancer, the reaction it creates in society is very high. In this study, 10 different
classification algorithms were applied to the Mesethelioma data set obtained from real
patients in Dicle University, Faculty of Medicine and loaded into UCI Machine Learning
Repository, and the results were compared. When the obtained results were compared, It
has been seen that Artificial Neural Network correctly classifies 321 examples of 324 and
catches %99.0740 success among other classification techniques.
KEYWORDS - Mesothelioma Disease, Classification Techniques, Data Mining.
Istanbul, Turkey, May 9-12, 2017
36
International Conference on Advanced Technology & Sciences (ICAT’17)
A SIMPLE APPROACH FOR INFLUENCE MAXIMIZATION IN SOCIAL
NETWORKS
AYBIKE SIMSEK1, RESUL KARA1
1
Duzce University, Turkey
ABSTRACT
People are social entities and need to communicate with each other. They are affected by
the other people or affect them. People can influence each other on a variety of issues,
from buying an item from a supermarket to voting in an election. A reflection of this social
environment in real life emerges as a social networking platform, such as Twitter, Flicker,
etc. Today, the real life social environments and positions of people have been moved to
social platforms. Individuals often communicate on social platforms, engage in new
interactions, and organize their social environment. The influence of some individuals may
be greater than others due to their position, the institutions or charities they represent.
These people are called as influencers. Detection of the influencers offers many benefits.
For example, advertising a product by the influencers can increase product sales. Such
influencers can be used to mold public opinion on a particular subject, too. In addition,
detection of people who affect social networks can be used to create security
vulnerabilities, as spreading a computer virus. There are many studies in the literature
about the detection of influencer users. The main purpose of these studies is to identify the
top-k influencers who create maximum influence within a particular social environment.
In this study, we developed a simple approach for the influence maximization by detecting
top-k influencers in a Erdös-Renyi synthetic graph. The graph is directed and weightless, it
has 150 nodes and 1500 edges. It has been tried to detect influencers using only
neighborhood relations. The top-k influencers are detected successfully with the proposed
method.
KEYWORDS - Social Networks, Influence Maximization, Graph Theory
Istanbul, Turkey, May 9-12, 2017
37
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND IMPLEMENTATION OF AN ARTIFICIAL NEURAL NETWORK
SOFTWARE TO DIAGNOSE DISEASE
ISMAIL SARITAS1, KADIR TOK1
1
Selcuk University, Turkey
ABSTRACT
In this study, method of artificial neural networks is used in order to support medical
diagnostics. A software, which has a visual interface, has been designed with C#.NET
programming language. With this software, success analysis of the results can be made
and the performance of the results can be measured. This software was designed to be able
to be used in academic studies and in applications which are related to artificial neural
networks. In the studies, the datas which are received from the patients with rheumatoid
arthritis and from the people who are not suffering from rheumatoid arthritis are used as
training and test data sets. With the software, training takes place according to the desired
number of neurons, learning rate, momentum coefficient and number of iterations which
are determined dinamically. It was found that the network, on average, reaches the zero
error rate, in the range of 500 and 1500 iterations. In the iterations which were performed
1500 times and more in computers with different processors, 82% to 100% success rate
has been obtained. In this study, the importance of artificial neural networks and the
advantages of the software, that can learn, in computer technologies have been examined.
Also, backpropagation algorithm was examined in Matlab environment for the diagnosis
of rheumatoid arthritis. The results found with the backpropagation algorithm and the
perceptron algorithm have been compared in terms of performance. While %82 accuracy
percentage is obtained with the Backpropagation algorithm, the accuracy percentage is
found as %71 with Perceptron algorithm.
KEYWORDS - Artificial neural networks, disease diagnosis, artificial intelligence
Istanbul, Turkey, May 9-12, 2017
38
International Conference on Advanced Technology & Sciences (ICAT’17)
INFORMATION SECURITY A HYBRID ALGORITHM STUDY
EGEMEN TEKKANAT1, MURAT TOPALOGLU1
1
Trakya Universitesi, Turkey
ABSTRACT
Information represents an important place since human existence. Technology is
progressing every day because of the age of information and technology that we live in.
Secure storage of information has become very important. Especially with the information
thefts that have emerged in recent years, the secure storage and transmission of
information has become very important. Encryption, as well as information hiding
technologies, are also an important part of storage information more safely. In the time
from past to now, cryptography is widely used. Many encryption methods have been
developed since the time of human existence to now. Moreover today, widely used public
key cryptography systems and steganography methods can be used together to increase
information security. Steganography is the science is the hiding of a secret message with
in an ordinary message. In this study, we have developed a new hybrid algorithm with
steganography technologies together with existing encryption algorithms.
KEYWORDS - İnformation Security, Cryptology, Steganography, Theft
Istanbul, Turkey, May 9-12, 2017
39
International Conference on Advanced Technology & Sciences (ICAT’17)
THE FUNCTION ANALYSIS AND ITS APPLICATION TO DETERMINATION
OF FUZZY SUBSETS FOR MODEL HELICOPTER FUZZY CONTROL
MURAT HACIMURTAZAOGLU1, NOVRUZ ALLAHVERDI2
1
RTE University, Turkey; 2 KTO Karatay University, Turkey
ABSTRACT
In this study, an analysis of the function that determines the sub-clusters of the fuzzy
controller for model helicopter control is performed. For this purpose, a model helicopter
and a test platform were established in which the results of the function analysis can be
seen and the application results will be examined. Arduino control card is used for model
control. Analysis results are analyzed on computer using c # program. The computer
connection with the model is carried out via the Usb port. Input parameters for control are
obtained from the sensors on the model. The output values are calculated as net values to
control the motors on the model. Real-time application results are seen as simulations on
the model.
KEYWORDS - Fuzzy subset function, fuzzy control, fuzzy logic control system, model
helicopter control
Istanbul, Turkey, May 9-12, 2017
40
International Conference on Advanced Technology & Sciences (ICAT’17)
FRIENDSHIP ALGORITHM FOR DETECTING BLACK HOLE ATTACKS IN
MANET FADBAM
ADWAN YASIN1, MAHMOUD ABU ZANT1
1
Arab American University, Palestinian Territory
ABSTRACT
Security of Mobile Ad-hoc Network (MANET) is one of the hottest research topics in the
network fields. MANET was originally used in military, and it is consists of mobile nodes
connected via wireless links (radio, microwaves signals) with no fixed infrastructure to
control the communication between nodes, Black hole attack is one of the most wide
spread attacks that used to affect the connectivity and integrity of MANET. A black hole
node (Malicious node) drops all incoming packets from the source node instead of
transmitting them to destination node. In this paper we propose a new technique to fight
against this type of attacks by revealing and isolating the black hole nodes from the
network.
KEYWORDS - MANET; AODV; Black-hole Attacks; Security; Connectivity; Secure ad
hoc routings protocols
Istanbul, Turkey, May 9-12, 2017
41
International Conference on Advanced Technology & Sciences (ICAT’17)
HUMAN LIMB MOVEMENT ESTIMATION BY ARTIFICIAL NEURAL
NETWORK USING BRAIN WAVE SIGNALS
MURAT KOKLU1, KADIR SABANCI2, MUHAMMED FAHRI UNLERSEN3
1
Selcuk University, Turkey; 2 Karamanoglu Mehmetbey University, Turkey;
3
Necmettin Erbakan University, Turkey
ABSTRACT
In our daily life, our limbs are indispensable. But many people lost some limbs due to
accidents or illnesses. To make life of people like that easy, some robotic solutions could
be applied. Electroencephalography (EEG) may be used to control that kind of robotic
limbs. In our study, EEG signals have been used to determine status of a human limb. The
limb whose status is asked to be determined, is eyelid in this study. The dataset used to
determine eyelid status were recorded brain waves from 14 electrodes by using a
commercial EEG headset. The status of eyelid was added into the dataset manually. The
dataset has been analyzed by using many types of Artificial Neural Networks (ANN).
Number of neurons in the hidden layer of the ANN has been changed from 1 to 20 to
determine best ANN structure which estimate the eyelid status. At the same time the
activation function of neuron layers have been investigated for the same purpose.
Hyperbolic tangent sigmoid (Tansig), Logarithmic Sigmoid (LogSig) and Linear (PureLin)
transfer functions have been used as activation function. The prepared ANN structures
have been trained various training functions like quasi-Newton backpropagation (trainbfg),
Bayesian regularization backpropagation (trainbr), Conjugate gradient backpropagation
with Fletcher-Reeves updates (traincgf), Gradient descent backpropagation (traingd),
Gradient descent with adaptive learning rate backpropagation (traingda), Gradient descent
with momentum backpropagation (traingdm), Levenberg-Marquardt backpropagation
(trainlm), Scaled conjugate gradient backpropagation (trainscg). All of the results of the
researches have been compared and the best results have been obtained as 0.262 RMSE
and 0.328 MAE. The structure that has the best results, has consisted of 11 neurons in the
hidden layer with PureLin activation function. And this structure has been trained by
Bayesian regularization backpropagation function.
KEYWORDS - Electroencephalography, Artificial Neural Networks
Istanbul, Turkey, May 9-12, 2017
42
International Conference on Advanced Technology & Sciences (ICAT’17)
MALICIOUS WEB PAGE DETECTION WITH MACHINE LEARNING
TECHNIQUES
CANSU KADI1, URAZ YAVANOGLU1
1
Gazi University, Turkey
ABSTRACT
Web technologies which is changing and increasing day by day become a target by
attackers who take advantage of web users growing attention. Users can do not only
important things require interaction such as shopping, banking, reservation, paying bills
but also get information. All these procedures they can share sensitive/critical informations
about them. Even if it only entered into this web page it is possible to access these
informations. To ensure the security of the web page is needed to prevent these attacks.
For this purpose it is used different diagnosis tools and approaches. A dataset has been
created with malicious and benign web pages. It contains lexical and popularity features of
URL, HTML features and JavaScript features. Features have been selected with Fisher’s
Discriminant Ratio (FDR), Discrete Cosine Transform (DCT) and Principal Component
Analysis methods (PCA). And then, k-Nearest Neigbor (kNN), Support Vector Machines
(SVM) machine learning methods have been used for classification. Experimental
evaluation demonstrates that the accuracy of detection system is %97,14 and false positive
rate is 0,02 with using FDR and SVM.
KEYWORDS - Malicious and benign web pages, static and dynamic approaches, URL
lexical features, HTML features, JavaScript features, machine learning, support vector
machines, k-nearest neighbor
Istanbul, Turkey, May 9-12, 2017
43
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPLEMENTATION OF 16 BIT ARITHMETIC LOGIC UNIT ON FPGA
ILKER ALI OZKAN1, ABDULKADIR SADAY1
1
Selcuk University, Turkey
ABSTRACT
Electronic devices have a Central Processing Unit (CPU) which controls the operation of
the device and carries out the operations to be carried out respectively. A CPU has basic
operations such as arithmetic functions, logical operations. All of this is done based on the
control input selection on the Arithmetic Logic Unit (ALU), which is one of the most
important parts of the CPU. In this work, we present a 16-bit ALU application using the
VHDL language and the Quartus II 13.0 tool. This ALU performs arithmetic operations
such as Addition, Subtraction, Increment, Reduction, Transpose as well as logical
operations such as AND, OR, XOR, NOT. All of these operations are subject to
verification to see if they match theoretically.
KEYWORDS - 16 bit ALU, FPGA, VHDL, ALU Design
Istanbul, Turkey, May 9-12, 2017
44
International Conference on Advanced Technology & Sciences (ICAT’17)
A SUGGESTION PERFORMING AUTOMATIC BLOCK REALLOCATION
USING PARTICLE SWARM OPTIMIZATION IN LAND CONSOLIDATION
PROJECTS
ABDURRAHMAN OZBEYAZ1, YASAR INCEYOL1
1
Adiyaman University, Turkey
ABSTRACT
Block reallocation has been a challenge problem in Land consolidation projects today.
Block reallocation is manually done by specialists in current works. If a robust algorithm
which is capable automatic reallocation is designed using in land consolidation projects,
both fair reallocation is provided and this challenge work will be easier. Many algorithms
have been proposed which can perform block reallocation in the land consolidation
projects in literature. Although the successes of the proposed algorithms in literature have
been substantially good, the achievements of some algorithms have been constantly
investigated. In this study, Automatic block reallocation using Particle Swarm
Optimization (PSO) algorithm which is an optimization algorithm in land consolidation
projects has been investigated. The steps of the algorithm for the task are developed for
PSO. An arable land in Dot village in Adıyaman has been employed as a project study.
Landholdings preferences and places of fixed installations are taken into consideration in
the design of the steps of algorithm. The land includes 143 blocks and 225 landholders.
405 fixed areas weren’t used in the project; only 293 parcels are subjected to reallocation
in the study. Consequently, this paper presents a model algorithm which can automatically
reallocate parcels to blocks using Particle Swarm Optimization.
KEYWORDS - Automatic Block Reallocation;,Land Consolidation, Lanholding, PSO,
Optimization
Istanbul, Turkey, May 9-12, 2017
45
International Conference on Advanced Technology & Sciences (ICAT’17)
A TOOL FOR COLLECTING DATA FROM THE DEVICES USING SNMP
AGENTS
ATIKE DEMIRBAS1, YALCIN CEBI1
1
Dokuz Eylul University, Turkey
ABSTRACT
This paper introduces an overview for network management system in order to collect and
analyze data from active devices on network and it gives a summary about network
management function model. According to the function model, a special tool is developed
using Java and MySQL with SNMP for monitoring system. One of the purposes of this
tool is; tracking the active device on network, discovering new device which is added to
system, controlling the devices and etc. The other purpose of this tool is to develop an
open source and simple tool because the other open-source software are either very
complex or very simple. The system is based on manager device, agent devices and
Network Management System. The manager device control and monitor agent devices is a
device, the agent device is managed by the manager. Network Management System is
software installed on the manager device. All communication between manager and agents
are made possible by NMS.
KEYWORDS - SNMP, Java, Network Management, Network Monitoring System,
Performance Management
Istanbul, Turkey, May 9-12, 2017
46
International Conference on Advanced Technology & Sciences (ICAT’17)
FEATURE SELECTION FROM 3D BRAIN MODEL FOR SOME DEMENTIA
SUBTYPES USING GENETIC ALGORITHM
SAVAS OKYAY1 , NIHAT ADAR1 , KEMAL OZKAN1 , BAKI ADAPINAR1
1
Eskisehir Osmangazi University, Turkey
ABSTRACT
Brain scans that are appropriate to the medical standards are obtained from magnetic
resonance imaging devices. Through image processing techniques, 3D brain models can
be constructed by mapping medical brain imaging files structurally. Physical
characteristics of patient brains can be extracted from those 3D brain models.
Characteristics of some specific brain regions are more efficacious in predicting the type
of the disease. For that reason, researches are made for finding the worthwhile features out
using cortical volumes, gray volumes, surface areas, and thickness averages for left and
right brain parts separately or together. The main objective of this work is determining
more influential sections throughout the entire brain in establishing the clinical diagnosis.
To that end, among all the measurements exported from 3D models, the significant brain
features that are effective in identifying some dementia subtypes are sought. The dataset
has 3D brain models generated from magnetic resonance scans of 63 samples. Each
sample is labeled with one of the following three disease types: Alzheimer’s disease (19),
frontotemporal dementia (19), and vascular dementia (25). The genetic algorithm based
wrapper feature selection method with various classifiers is proposed to select the features
that state the aforementioned dementia subtypes best. The tests are performed by applying
cross validation technique and confusion matrices are shown. At the end, the best features
are listed, and the accuracy results up to %95.2 are achieved.
KEYWORDS - Genetic algorithm, Feature selection, Dementia subtypes, 3D brain model,
Magnetic resonance imaging.
Istanbul, Turkey, May 9-12, 2017
47
International Conference on Advanced Technology & Sciences (ICAT’17)
INTELLIGENT BACKUP SYSTEM BASED ON ARM MICROCONTROLLER
FATIH SADAY1 , ABDULKADIR SADAY2
1
KTO Karatay University, Turkey ; 2 Selcuk University, Turkey
ABSTRACT
The intelligent backup system, which has been designed considering the problems
experienced by enterprises and individuals in recent years, will protect backups against
encryption viruses unlike existing systems. The systems and products used for back-up
purposes in the market contain some deficiencies in different directions. For example,
many systems have major problems with data loss such as not having the ability to clean
up old backups, creating security vulnerabilities due to continuous access vulnerability,
forgotten backups, and so on. Cost-effective solutions that include all the features are
needed to get rid of these problems by the users. Customers want to store their data in a
physically accessible back-up system with minimal workload and high reliability. Systems
for needing backup are only available as foreign products on the market and do not have
all the features together. The intelligent backup system to be developed with the embedded
system is aimed at enabling enterprises to fully respond to the need for backup.
KEYWORDS - backup system,arm,adaptive scan,intelligent backup
Istanbul, Turkey, May 9-12, 2017
48
International Conference on Advanced Technology & Sciences (ICAT’17)
A CHANCE PLAY DESIGN WITH C EXAMPLE OF HORSE RACE
APPLICATION
SAKIR TASDEMIR1 , EMRE AVUCLU1
1
Selcuk University, Turkey
ABSTRACT
Digital games are leisure-time computer software with certain rules. In leisure time, people
are involved in activities to relax. The existence of chance thinking and people's beliefs,
thoughts and experiences are at the basis of luck games. Chance games appeal to many
people because they show a stereotyped behavioral characteristic adopted by a significant
segment of society. Based on spending leisure time, people have been searching computeraided to contribute to their different behaviors. In this study, real time a horse racing game
was developed in Visual Studio C # environment. The C # language was chosen because it
was designed as a simple, modern, general-purpose, object-oriented programming
language. With visually programmed play, the user can play several options. These
options have made the game more attractive and made it more enjoyable. In the game,
some adjustments can be made user-sided (weight, lucky horse etc.). Depending on the
settings made by the user, the excitement situation is further increased during the race. At
the end of the game, according to the race performance the user or the computer can win
the sum of the points laid out.
KEYWORDS - Digital games, Chance games, Game programming, Horse racing.
Istanbul, Turkey, May 9-12, 2017
49
International Conference on Advanced Technology & Sciences (ICAT’17)
A NOVEL OPTIMIZATION APPROACH BASED ON RECIPROCAL FORCES
FOR ASTRONOMICAL N BODY SIMULATION ON GPU
CELIL OZKURT1 , EYUP GEDIKLI1
1
Karadeniz Technical University, Turkey
ABSTRACT
Astronomical N-body simulations are widely used to investigate the formation and
evolution of various astronomical systems, such as planetary systems, global clusters,
galaxies, galaxy clusters, and large-scale constructions of the universe. In this systems
each body continuously interacts with every other body via gravity forces. The all-pairs
method is a brute-force technique that calculates all pairwise interaction among the N
bodies. Although it is a simple method, it is not used in large-scale simulations since the
computational complexity is O (N2). However, it can be used for close range calculations
when combined with hierarchical methods that are used in long distance calculations.
Reciprocal forces fij = -fji can be used to reduce the number of force calculation in the allpairs method by half. However, until March 2015, it was difficult to implement this
optimization effectively with CUDA. With the release of the concurrent streams feature in
CUDA 7, this optimization has become effective. In this paper, the classical CUDA
application with the reciprocal forces optimized CUDA application was compared in terms
of memory usage and calculation time. It has observed that reciprocal forces optimization
uses about 42% less memory than classical CUDA implementation and about 19% faster
when the number of body is 73,728. In addition, as the number of body increases, the
reciprocal forces optimized CUDA application runs even faster.
KEYWORDS - Astronomical N-body; Reciprocal forces; Parallel Programming;
Optimization with CUDA; GPU Programming
Istanbul, Turkey, May 9-12, 2017
50
International Conference on Advanced Technology & Sciences (ICAT’17)
MULTISPECTRAL IMAGE FUSION USING A NEW TENSOR APPROACH
SAHIN ISIK1 , KEMAL OZKAN1 , GOLARA GHORBAN DORDINEJAD1
1
Eskisehir Osmangazi University, Turkey
ABSTRACT
In this study, we have introduced a new multispectral image fusion methodology with
Common Matrix Approach based tensor decomposition. The performance of three wellknown tensor decomposition approaches including Two Dimensional Principal
Component Analysis, Two Dimensional Singular Value Decomposition and Common
Matrix Approach are compared by conducting an experiment on a special Multispectral
Image Database to examine the effectiveness of each image fusion method. The statistical
and visual results are ground on in case of performance evaluation. The obtained results
obviously indicate that using Common Matrix Approach algorithm for image fusion gives
satisfactory numerical results and good appearance as well as preserving meaningful
information stated on each channels.
KEYWORDS - common matrix approach; multispectral image fusion; Two Dimensional
Component Principal Analysis; Two Dimensional Singular Value Decomposition.
Istanbul, Turkey, May 9-12, 2017
51
International Conference on Advanced Technology & Sciences (ICAT’17)
DETECTION OF FOREIGN OBJECTS IN RAILWAY LEVEL CROSSINGS
USING IMAGE PROCESSING TECHNIQUES
CANAN TASTIMUR1 , MEHMET KARAKOSE1 , ERHAN AKIN1
1
Firat University, Turkey
ABSTRACT
Railroad transportation is considered one of the safest means of transportation. Train
accidents happened every year in the world due to heavy task. And the train accidents
resulted in serious destruction of property and injury or death of passengers and crew
members. Many of the railway transport accidents happen because of driver’s tiredness,
bad weather conditions, and defective rail components, etc. To prevent these accidents,
importance is attached to the detection of faulty regions in the tracks, and other rail
components. Safety of railroad transportation can be enhanced by utilizing intelligent
systems that provide additional information about the exact location of the train, its speed
and upcoming obstacles. A collision avoidance system for railway vehicles is required to
specify their location in the railroad network precisely and reliably. Level crossings in
railroad are important safety regions. The level crossings are common areas used by trains
and motor vehicles. Therefore there is a risk of collision of trains and motor vehicles at
these points. Foreign objects in the level crossings constitute a risk of accident for both
trains and motor vehicles. Moreover, the deterioration of the shape and surface structure of
the level crossings threatens the safety of railway access. Faulty level crossings should be
detected with non-contact image processing techniques. In this study, the level crossings
have been detected by using Pre-processing such as color format conversion, image
normalization, Feature extraction, Hough transform, Elimination of noisy pixels, and some
image processing techniques. It has been determined whether or not the foreign objects are
in the detected level crossings. It has been decided whether the detected foreign objects
were of a threat to the security of the transportation. The foreign object detected for this
process has been examined by using morphological feature extraction techniques. So that
the train driver can be alerted beforehand about the foreign object that has been checked.
KEYWORDS - Rail transportations; Level crossings detection; Hough transform; Feature
extraction; Foreign object detection
Istanbul, Turkey, May 9-12, 2017
52
International Conference on Advanced Technology & Sciences (ICAT’17)
PREDICTION OF ION EXCHANGE EFFICIENCY OF COMERCIAL RESINS
STRONG BASE ION EXCHANGE RESINS WITH ARTIFICIAL NEURAL
NETWORKS
SERPIL EDEBALI1 , ABDULLAH ERDAL TUMER2 , MEHMET ALKANER2
1
Selcuk University, Turkey; 2 Necmettin Erbakan University, Turkey
ABSTRACT
In this study, the ion-exchange efficiency of Lewatit®M500 and Lewatit®MP500 strong
base anion exchange resins was predicted with artificial neural networks by means of
experimental results obtained during laboratory studies. Artificial neural networks have
been frequently used in many fields for various targets such as prediction, modeling,
classification and data association. Similarly, they have been applied successfully in
environmental engineering studies (modeling of sorption processes, prediction of ozone
concentrations and water losses, etc.). One of the most interesting fields related with
environmental engineering is ion exchange process. In this treatment process which is
based on exchange of anion or cation on the surface of unsoluble solid material with
similar charged ions, ion exchange resins are used. In this study, experiments were carried
out where Lewatit®M500 and Lewatit®MP500 ion exchange resins were used for the
removal of Cr(VI) from aqueous solutions. The data (time, resin amount, pH value,
concentration, sorption percentage) obtained from the experiments were firstly trained by
artificial neural networks and then they were tested for the prediction of ion exchange
efficiency of ion exchange resins. As a result of this study, it was determined that
Lewatit®MP500 strong base anion exchange resin had better removal efficiency.
KEYWORDS - Artificial neural networks, Modeling, Ion Exchange, Base Anion exchange
resin, Non-linear Modeling, Feed forward back propagation Neural Networks,Comersial
resins
Istanbul, Turkey, May 9-12, 2017
53
International Conference on Advanced Technology & Sciences (ICAT’17)
TRAINING OF ANFIS NETWORK BY GENETIC ALGORITHM FOR
DIAGNOSIS OF LEUKEMIA CANCER SUBTYPES USING GENE EXPRESSION
PROFILE
MUSTAFA TURAN ARSLAN1 , BULENT HAZNEDAR2 , ADEM KALINLI3
1
Mustafa Kemal University, Turkey; 2 Hasan Kalyoncu University, Turkey;
3
Erciyes University, Turkey
ABSTRACT
In this study, subtypes of Leukemia cancer has classified by using microarray gene
expression profiles. An approach is proposed to train Adaptive Neuro Fuzzy Inference
System (ANFIS) network by using a population-based Genetic Algorithm (GA) to classify
this cancer data. The classification success of the proposed model has compared with the
successes of Backpropagation (BP)-ANFIS and Hybrid-ANFIS, which are derivative
based ANFIS models. According to obtained results, GA-ANFIS model has performed
very well on leukemia cancer, with 90.91% in the classification study. For the same data,
BP-ANFIS and Hybrid-ANFIS models have performed poorly with 63.63% and 59.09%,
respectively.
KEYWORDS - Microarray Gene Expression Profile, ANFIS, Genetic Algorithm,
Classification
Istanbul, Turkey, May 9-12, 2017
54
International Conference on Advanced Technology & Sciences (ICAT’17)
AN INTELLIGENT CLASSIFICATION APPROACH FOR SOCIAL MEDIA
DATA
FATIH ERTAM1
1
Firat University, Turkey
ABSTRACT
Social media has a great place in today's internet usage. In particular, it is important for
companies that want to advertise on social media to invest in which area. Facebook has the
highest usage rate among social media tools. In this study, artificial intelligence techniques
were used to classify a data set generated with Facebook data. In order to achieve this
purpose, support vector machines and extreme learning machines are compared. The
results of the studies were evaluated with accuracy values and ROC curves. In addition,
the processing speeds of the classifiers were also checked and compared. In this study, an
intelligent classifier that could be preferred for social media data was tried to be offered.
Different activation functions for both classifiers were selected and compared among
themselves.
KEYWORDS - social media classification, machine learning, support vector machine,
extreme learning machine, ROC curves
Istanbul, Turkey, May 9-12, 2017
55
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND IMPLEMENTATION OF AN INTERPRETER FOR THE LEAST
SQUARES METHOD USING SYMBOLIC APPROACHES
NAWAL ABDULLAHI MOHAMED1, HUSEYIN PEHLIVAN1
1
Karadeniz Technical University, Turkey
ABSTRACT
The least squares method is an important technique of regression analysis that fits a
mathematical or statistical model to a particular data set. This work describes the
development of an interpreter for the least squares method, using symbolic computation
methods and automatic code generation tools. The development process starts with the
construction of a context-free grammar that denotes the mathematical curves. Then, a
parser which is generated via the JavaCC tool for this grammar is employed to represent
the curves with object structures and to determine their parameters. Through these object
structures, the curves are analyzed and the parameters to be computed by the least squares
method are determined. For the curves with specific function components, such as
exponential, logarithmic and rational functions, some symbolic computation tasks are
performed, which transform those curves into polynomials.
KEYWORDS - Symbolic computation, Curve fitting, Least squares method, Context-free
grammars
Istanbul, Turkey, May 9-12, 2017
56
International Conference on Advanced Technology & Sciences (ICAT’17)
THE ROLE OF INNOVATIVE TECHNOLOGY-INTEGRATED TEACHING:
TOWARDS A TRANSFORMATIVE PEDAGOGY
NAZ ONEL1
1
Stockton University, United States
ABSTRACT
Today’s educators are using technology in many different ways both inside and outside the
classroom. In order to develop effective and engaging learning environment, it is crucial to
integrate technology using innovative ideas, which can create active, stimulating,
collaborative, and informative experiences for students. Existing research shows that to
help improve undergraduate education, it is necessary to use active learning techniques,
encourage contacts between students and faculty, and develop reciprocity and cooperation
among students, which all could be possible with the adoption of technology in innovative
ways. This study covers a number of unique instructional methods that are currently being
implemented as a distinct pedagogical approach. The study provides ideas and tools for
online and in-class teaching with a number of concrete examples specifically geared
towards educators in variety of disciplines and at all levels. Approaches and some good
practices that have been used at a U.S.-based higher education institution (HIU) are also
described in detail.
KEYWORDS - in-class teaching,learning,pedagogical approach,online teaching
,technology in classroom
Istanbul, Turkey, May 9-12, 2017
57
International Conference on Advanced Technology & Sciences (ICAT’17)
TRAINING OF ARTIFICIAL NEURAL NETWORK USING METAHEURISTIC
ALGORITHM
SHAIMAA SAFAA AHMED ALWAISI1 , OMER KAAN BAYKAN2
1
Science, Iraq; 2 Selcuk University, Turkey
ABSTRACT
This article clarify enhancing classification accuracy of Artificial Neural Network (ANN)
by using metaheuristic optimization algorithm. Classification accuracy of ANN depends
on the well-designed ANN model. Well-designed ANN model Based on the structure,
activation function that are utilized for ANN nodes, and the training algorithm which are
used to detect the correct weight for each node. In our paper we are focused on improving
the set of synaptic weights by using shuffled frog metaheuristic optimization algorithm
which are determine the correct weight for each node in ANN model. We used ten well
known datasets from UCI machine learning repository. In order to investigate the
performance of ANN model we used datasets with different properties. These datasets
have categorical, numerical and mixed properties. Then we compared the classification
accuracy of proposed method with the classification accuracy of back propagation training
algorithm. The results showed that the proposed algorithm performed better performance
in the most used datasets.
KEYWORDS - Artificial Neural Network, Metaheuristic Optimization Algorithm, Back
propagation algorithm, Shuffled Frog Optimization Algorithm
Istanbul, Turkey, May 9-12, 2017
58
International Conference on Advanced Technology & Sciences (ICAT’17)
CUSTOMER CHURN ANALYSIS USING CLASSIFICATION ALGORITHMS IN
TELECOMMUNICATIONS INDUSTRY
MUHAMMET SINAN BASARSLAN1, FATIH KAYAALP1
1
Duzce University, Turkey
ABSTRACT
One of the customer-focused sectors is the Telecommunication sector. Telecommunication
companies want to win customers and lose their customers. At this point, they work to
predict the loss of customers in a variety of ways. In this study, a study was carried out
with classification algorithms to estimate the allocation of customers on data received
from a telecommunication company in Turkey.
KEYWORDS - Keywords: Data mining Machine Learning.Churn, R Tool,
Telecommunication
Istanbul, Turkey, May 9-12, 2017
59
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPLEMENTATION AND EVALUATION OF FACE RECOGNITION BASED
IDENTIFICATION SYSTEM
FARUK CAN ELBIZIM1, MUSTAFA CEM KASAPBASI1
1
Istanbul Commerce University, Turkey
ABSTRACT
Face recognition has been widely used and implemented to many systems for the purpose
of authentication, identification, finding faces, etc. In this study Yale face database [1] is
used which consist of 15 different people. For each of person there are 11 different images
with different face expressions. In this study images are categorized as normal, normal and
center light, normal and happy, normal with left light and right light. In order to recognize
these faces 4 different face recognition methods namely Eigenface, Fisherface, LBPHface
and SURF are utilized in the developed environment. In order to test the mentioned face
recognition algorithms a software is developed using EmguCV in .NET environment.
After evaluating and comparing the obtained confusion matrix amongst other the
LBPHface method was found to be superior method with an average accuracy of 99%, it
was ~98% SURF, ~97% for EigenFace and FisherFace. FicherFace was slightly better
then the Eigenface method
KEYWORDS - Face recognition,eigenFaces,fisherfaces,SURF
Istanbul, Turkey, May 9-12, 2017
60
International Conference on Advanced Technology & Sciences (ICAT’17)
REDUCING CBR DROPPING IN QOSBOX USING GREENCLOUD
SIMULATION IN CLOUD COMPUTING
SHAFIULLAH MALEKZAI1, DOGAN YILDIZ2 , SERAP KARAGOL2
1
77 Construction Company Kabul Afghanistan, Afghanistan; 2 Ondokuz Mayis University,
Turkey
ABSTRACT
Cloud computing is the latest and greatest thing of our era. It was introduced when local
resources were incapable any more to fullfil the access requirements along with the
increase of network bandwidth and variety of services breaks constraints of physical
placement and deliver diversities of services in its virtualized hardware and software type.
GreenCloud simulator as an extension of the Network Simulator (NS-2) cloud computing
simulators, execute an energy-aware cloud computing scenario with data center virtualized
components (switches, routers, links, etc.). This paper converses a cloud architecture that
delivers virtualized network as per demand from cloud user, with the explanation of QoSbased GreenCloud simulation that to demonstrate the performance and behavior of the
nework performance in cloud computing environment. The QoSbox is used as PC-routers
over a network. QoSbox is expected as a desired solution for the gradual extension to the
problem of providing service differentiation in a scalable manner.
KEYWORDS - Cloud Computing; GreenCloud; NS-2; QoS; QoSbox
Istanbul, Turkey, May 9-12, 2017
61
International Conference on Advanced Technology & Sciences (ICAT’17)
BEACON BASED INDOOR POSITIONING AND ROUTING
TANER ARSAN1
1
Kadir Has University, Turkey
ABSTRACT
This research paper is about beacon-based indoor positioning and routing system and its
Android application to guide the visitors for University Campus Area. Bluetooth Low
Energy (BLE) beacons are located in strategically designed points. The system has been
implemented on approximately 9,000m2 indoor area with 150 beacons. The application
software has been developed with Android Studio and Special Android Indoor Software
Development Kit (SDK). Android SDK uses path loss model and trilateration for
localization. Trilateration method is used to compute the distance of the traveller from
each of three beacons. The position of the visitor is determined as the point of intersection
of three circles, each centred at one of the beacons. The radius of each of these circles is
the estimated distance of the visitor from that beacon. The system allows users to navigate
in the campus with a 3D map while providing them directions to the daily events that take
place. Also an augmented reality has been created using camera view of the mobile device
to further help with the indoor navigation. On the other hand, reliable indoor localization is
a must for the development of the Internet of Thing (IoT). Sensors that are a part of the
IoT can benefit from accurate indoor location determination. That is why we have been
studying on indoor positioning systems for 3 years and during this research period of time,
we obtain significantly better results in average error point of view. For this purpose,
Fingerprint algorithm is developed and applied to beacon-based indoor positioning system
and the results are discussed in this research paper.
KEYWORDS - Indoor positioning, indoor routing, trilateration, mobile application
development, software development
Istanbul, Turkey, May 9-12, 2017
62
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINING OPTIMAL NUMBER OF CLUSTERS IN LEACH LIKE
PROTOCOLS
SINAN TOKLU1, MEHMET SIMSEK1
1
Duzce University, Turkey
ABSTRACT
Clustering of sensor nodes to reduce energy consumption in wireless sensor networks
(WSN) is a very common approach. The selected number of clusters directly affects the
performance of the network. There are some suggestions for the number of clusters in the
literature. To reduce energy consumption, determining the number of clusters according to
the network parameters would be correct. In this study, we examined the effect of some
network parameters on the selection of cluster numbers.
KEYWORDS - wireless sensor networks, clustering, energy efficiency
Istanbul, Turkey, May 9-12, 2017
63
International Conference on Advanced Technology & Sciences (ICAT’17)
BIG DATA AND RESTFUL BASED WEB APPLICATION FOR SMART HEALTH
APPLICATION
SINEM GUVEN SANTUR1, YUNUS SANTUR2, MEHMET KARAKOSE2
1
Papatyasoft, Turkey; 2 Firat University, Turkey
ABSTRACT
Smart city applications are generally the whole of concepts that benefit from technology in
terms of management and society. They provide benefits along with the effect of increase
in new services or in the quality of existing service in terms of society with the purposes of
efficient use of resources in terms of management, obtaining valuable information through
data mining and reducing costs. Smart cities have components such as smart
transportation, smart park, smart buildings, smart park and smart health. In this study, a
Big Data and Restful web based software proposal was presented for the purpose of
storing, processing and analyzing the data obtained from information sources for a smart
health management in a smart city.
KEYWORDS - big data, pregnancy, data mining, machine learnin
Istanbul, Turkey, May 9-12, 2017
64
International Conference on Advanced Technology & Sciences (ICAT’17)
DEEP LEARNING BASED ARTIFICIAL MANAGER FOR SMART CITY
YUNUS SANTUR1 , EBRU KARAKOSE1 , MEHMET KARAKOSE1 , ERHAN AKIN1
1
Firat University, Turkey
ABSTRACT
Nowadays, deep learning is commonly used in many areas such as natural language
processing, data mining, image processing and interpretation. The use of technology in
city management for the purposes of effective resource management, improving the
quality of service and reducing costs have led to smart city concept. The data produced by
automation systems as well as internet-connected objects such as sensor, camera and
mobile device are also used for smart city management. It is difficult to analyze such a big
sized data by processing with conventional methods and to use them in decision-making
mechanisms. In this study, deep learning based data mining was performed on big data
obtained from different types of sources for smart city management and an approach to
ensure that the results can be analyzed was proposed.
KEYWORDS - Deep Learning, Deep Mining, Internet of Things, Smart City, Big Data
Istanbul, Turkey, May 9-12, 2017
65
International Conference on Advanced Technology & Sciences (ICAT’17)
RE ANALYSIS OF MOLD MAKING ERRORS WITH COMPUTER AIDED
DESIGN PROGRAMS AND RECOMMENDATIONS
MUSTAFA ALTIN1, AZIZ TOLUNAY ARSLANBAS1, SAKIR TASDEMIR1
1
Selcuk University, Turkey
ABSTRACT
Computer-Aided Design (CAD) programs are widely used in construction technologies.
CAD programs are constantly being developed and with these software most accurate and
clear solutions can be achieved. By creating concrete static projects, alternative solutions
can be seen, most accurate and economical decisions can be taken. Better time
management is also provided in this way. No doubt, one of the most important productions
in the construction business is mold making. Mold making masters should have good
training and should be good at their jobs. A small mistake can lead to irreversible
consequences and can cause to various troubles. Bad manufacturing and workmanship will
cause accidents in the construction phase and after that will cause problems in calculations
done regarding safety. The construction industry comes first in work accidents and an
important part of the accidents happen because of molding and scaffolding errors. The cost
of these accidents to the employers and the state is at serious levels. In this study, a
construction made with values gained from a project prepared with boundary values is
examined. In this roughly finished construction, incomplete productions and missing
section heights have been determined due to mold workmanship. It has been observed that
there are major faults such as column installation errors and columns not overlapping.
Errors in beam column joints have been eliminated by resolution of project, i.e. CAD
program. Due to great advantages provided by the CAD program, a solution has been
reached shortly. It has been decided to stop the construction of the existing building and
carry out a mandatory strengthening project. CAD programs have been used in the
strengthening project and the most suitable project has been prepared by working on
alternatives to minimize the cost of strengthening. It is important that the CAD programs
provide instant alternatives at the solution stage and comply with the comparison
conditions. The economic benefit provided by different alternatives for reducing the
strengthening cost is significant.
KEYWORDS - Computer-Aided Design, Strengthening, Molding errors, Building defect,
Cost analysis
Istanbul, Turkey, May 9-12, 2017
66
International Conference on Advanced Technology & Sciences (ICAT’17)
A COMPUTER ALGEBRA SYSTEM THAT CAN BE INTEGRATED INTO
USERS WORKING ENVIRONMENTS TO SUPPORT SYMBOLIC
COMPUTATION OPERATIONS
SEDA EFENDIOGLU1, H EMRE EFENDIOGLU1, HUSEYIN PEHLIVAN1
1
Karadeniz Technical University, Turkey
ABSTRACT
Algebra is one of the important tools for facilitating calculations used in all branches of
science in which mathematics is involved. Numerous computer programs have been
developed that can quickly perform algebraic calculations without errors. However, since
these programs are designed to be used only with their own user interfaces, they can not be
integrated into other computing environments or run as a component of those
environments. In this study, the design and development stages of a system that can be
integrated into users' working environments to support algebraic computational operations
are presented. Formal language definitions have been used to represent an algebraic
expression. First, grammar rules are defined for the forms of algebraic expressions, and
abstract syntax trees of related expressions are generated by applying language parsing
operations. These trees are converted to expressions in JavaScript Object Notation (JSON)
data interchange format so that they can be used by all programming languages. Then
simplification operations are applied to obtain object representations of these expressions.
Finally, various numerical and symbolic computation operations are defined on these
object representations to support the simplification of algebraic expressions and the
generation of similar expressions.
KEYWORDS - computer algebra system, automatic expression generation, simplification,
symbolic computation, JSON,formal grammars
Istanbul, Turkey, May 9-12, 2017
67
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON THE PERFORMANCES OF DBSCAN CLUSTERING
ALGORITHM AND IMAGE PROCESSING TECHNIQUES FOR COUNTING
WHITE BLOOD CELLS
FATMA OZGE OZKOK1, METE CELIK1
1
Erciyes University, Turkey
ABSTRACT
White blood cells (WBCs) are an important part of immune system of human body. The
number of low or high WBCs give significant information about many diseases and so
correct determination of number of WBCs is very critical. For example number of WBCs
can increase in bacterial infections while number of WBCs can decrease in viral
infections. Traditionally, tedious and time consuming manual methods based on visual
examinations have been used. Recently, automated methods for counting WBCs have
begun to gain importance in literature. In the study, we compared the performances
DBSCAN clustering technique and image processing methods (i.e., watershed approach
and morphological operators) on counting WBCs. DBSCAN is a density based clustering
algorithm and can discover arbitrary shaped clusters without using number of cluster as
input parameter. Experimental results show that DBSCAN clustering algorithm presents as
promising results as image processing techniques of watershed and morphological
operations.
KEYWORDS - White Blood Cells, White Blood Cell Count, Clustering, DBSCAN, Data
Mining, density- based clustering
Istanbul, Turkey, May 9-12, 2017
68
International Conference on Advanced Technology & Sciences (ICAT’17)
THE DIAGNOSIS OF MELANOMA SKIN CANCER USING SOME FEATURE
DESCRIPTORS
KAYA TURGUT1, CAGRI KILINC1, SEMIH ERGIN1
1
Eskisehir Osmangazi University, Turkey
ABSTRACT
In this paper, a computer aided diagnosis (CAD) method to classify melanoma diseases
which are one of the most mortal types among skin cancer varieties. A tissue including
melanoma is sorted as malignant or benign cases using traditional ABCD (AsymmetryBorder-Color-Differential Structure) rule from dermoscopic images. In the classification
of melanoma cases, a lesion segmentation step is vital since an appropriate segmentation
significantly affects the accuracy of recognition results. After the separation of a lesion
from skin background in a dermoscopic image using Otsu thresholding approach, the
feature vectors including shape, color and texture properties are extracted from the
corresponding lesion. While shape features such as asymmetry, aspect ratio, compactness,
etc. are extracted from border of a lesion, color features are computed by analyzing the
color distribution on the corresponding lesion. Finally, texture features are extracted from
the GLCM (Gray-Level Co-Occurrence Matrix) of the raw pixel matrix of a dermoscopic
image. An image database consisting of 81 benign and 81 malignant melanoma cases is
utilized in this paper and lesions. The preferred classification method is the one against
one first order Support Vector Machines (SVM) algorithm. The proposed computer aided
diagnosis system offers a recognition accuracy of 82.26% on the test image set.
KEYWORDS - pattern classification, feature extraction, support vector machines,
melanoma detection
Istanbul, Turkey, May 9-12, 2017
69
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON OF LINEAR DIMENSIONALITY REDUCTION METHODS ON
FACE RECOGNITION
ERAY YILDIZ1, YUSUF SEVIM1
1
Karadeniz Technical Universtiy, Turkey
ABSTRACT
The analysis of high dimensional data is encountered in many areas, such as face
recognition. In the face recognition, dimensionality reduction methods are used to work
with fewer dimensions. There are a lot of dimensionality reduction methods. Because of
time and space complexities, linear dimensionality reduction methods are more preferred
generally. In this paper, popular linear dimensionality reduction methods and their
performance are investigated on face recognition. These methods are principal component
analysis (PCA), linear discriminant analysis (LDA), neighbourhood preserving embedding
(NPE) and locality sensitive discriminant analysis (LSDA).
KEYWORDS - Face Recognition, principal component analysis, linear discriminant
analysis, dimensioanlity reduction, locality sensitive discriminant analysis, neighborhood
preserving embedding
Istanbul, Turkey, May 9-12, 2017
70
International Conference on Advanced Technology & Sciences (ICAT’17)
ANALYSIS OF LRC PERFORMANCE USING LBP FEATURES IN FACE
RECOGNITION
SULENUR ERGUL1, MEHMET KOC1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
Local Binary Patterns (LBP) is a popular method used for feature extraction in pattern
recognition problems such as texture recognition and face recognition. Features are
extracted by comparing the grey level values of a center pixel and its neighbors. In face
recognition, image is divided into several regions and LBP feature distributions are
evaluated from each region separately. Then the classification is done according to
dissimilarity measures such as Chi-square. Linear Regression Classification (LRC) is a
popular holistic method used in face recognition problems. In this method, it is assumed
that the feature vectors in a class lie on a linear subspace. Then the regression coefficients
are calculated using least squares method. In LRC, intensities of image pixels are used as
features. The unknown query is assigned to the class where the minimum reconstruction
error occurs. In this work, we use LBP features to describe the face images and use them
to classify the images using LRC. In the experiments performed in AR face database,
LRC-based classification outperformed Chi-square based one.
KEYWORDS - Linear regression classification, local binary patterns, chi-square, face
recognition, feature extraction
Istanbul, Turkey, May 9-12, 2017
71
International Conference on Advanced Technology & Sciences (ICAT’17)
DEVELOPMENT OF OPTICAL CHARACTER RECOGNITION MOBILE
APPLICATION OVER CARD VISITS WITH IMAGE PROCESSING METHODS
ISMAIL ISERI1 , GOKHAN KAYHAN1 , KEREM HACIFAZLIOGLU1
1
Ondokuz Mayis University, Turkey
ABSTRACT
In this study, it is worked on transfering personel information to mobile devices by using
image processing and character recognition methods on card visits. Although the squarecoded card visits are widely used, it is difficult to use because it’s necessity to have a data
matrix reader on mobile devices. So that it is developed an mobile application by using
Open Source Computer Vision Library (OPENCV) and Open Source Optical Caracter
Recognition framework Tesseract and Android Platform. OpenCV is an open source
computer vision and machine learning software library. Tesseract is an optical character
recognition engine for various operating systems which is free software released under the
Apache License. As a result of the study, an innovative application was developed using
optical character recognition technology and obtained deep knowledge about optical
character recognition.
KEYWORDS - OpenCV, Tesseract OCR, Edge Detection, Canny, Scanner, Gray Scale,
Image Pyramids, Image Perspective
Istanbul, Turkey, May 9-12, 2017
72
International Conference on Advanced Technology & Sciences (ICAT’17)
FEATURE WEIGHTING USING GENETIC ALGORITHM FOR TEXT
CLASSIFICATION
PARISA LARIBI1, RIDVAN SARACOGLU1
1
Yuzuncu Yil University, Turkey
ABSTRACT
It is important to organize, process and extract useful information of textual documents in
a convenient way. The most important thing to fulfill these aims is the text classifier. In
this study, documents were passed through pre-processing. At this point, a mathematical
model of the documents was established. In this model, the data size is soo high. The
fuzzy similarity approach is used to reduce the data size. The k-Nearest Neighbor
algorithm is used for the next step, classification. Weights have been assigned to the
attribute values of the documents in order to increase classification performance. Genetic
algorithms are used to find the best weight values.
KEYWORDS - Genetic Algorithm, K Nearest Neighborhood, Text Classification
Istanbul, Turkey, May 9-12, 2017
73
International Conference on Advanced Technology & Sciences (ICAT’17)
HOW DO COLLEGE STUDENTS ADOPT SOCIAL NETWORKING SERVICES
UNDERSTANDING THE DETERMINANTS
HASAN USLU1, MUSTAFA EREN YILDIRIM1, YUCEL BATU SALMAN1
1
Bahcesehir University, Turkey
ABSTRACT
Technological developments have introduced significant changes to the way in which
individuals interact with each other. People tend to spend more time on social networking
activities than any other content on the Internet. Social media centred research has become
an increasingly significant interest which is capable of supporting several modes of
communication compared to traditional methods. This paper aims identifying and
analysing the influential factors of social networking adoption among Turkish college
students in order to explore the user behaviours in this context. An extended Technology
Acceptance Model with the integration of attitude, ease of use, usefulness, trust and social
influence is generated as the research model. Data is collected by an online survey with the
participation of 417 subjects. The results are analysed by statistical methods. The validity
and reliability of collected data is verified. Perceived usefulness, perceived ease of use,
trust, attitude, and social influence showed significant effect on the adoption of social
networking services.
KEYWORDS - social networking services, technology acceptance model, influence,
adoption
Istanbul, Turkey, May 9-12, 2017
74
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW FAST MEASUREMENT AND INSPECTION APPROACH BASED ON
MACHINE VISION
MEHMET BAYGIN1 , MEHMET KARAKOSE2 , ALISAN SARIMADEN3 , ERHAN
AKIN2
1
Ardahan University, Turkey; 2 Firat University, Turkey; 3 Medel Electronic, Turkey
ABSTRACT
Machine vision based quality control and high-precision measurement systems provide
users with significant advantages such as high speed, accuracy, low installation and
maintenance costs. A machine vision system capable of non-contact, fast and highprecision measurement has been proposed and developed in this paper. For this purpose,
two cameras were used to capture images of products passing through a conveyor. Firstly,
a reference image is taken in the system. The product to be passed over the conveyor is
placed in the middle of the two cameras and the conveyor for metric calibration. In this
way, images are taken from two cameras. After this process, image processing and
mathematical operations is applied to images and measurement values are obtained. The
proposed approach works in real time and error amount of the system is less than +-2 mm.
The most important feature of this approach which provides high-precision and noncontact measurement is the ability to measure dimension from camera characteristics and
lens, product type and position of products.
KEYWORDS - Machine Vision, Image Processing, Measurement, Inspection
Istanbul, Turkey, May 9-12, 2017
75
International Conference on Advanced Technology & Sciences (ICAT’17)
OPTIMAL ROUTE DETECT BASED ON GENETIC ALGORITHM FOR
ERZURUM METROPOLITAN MUNICIPALITY
MEHMET BAYGIN1, SALIH SERKAN KALELI1, ABDULLAH NARALAN2
1
Ardahan University, Turkey; 2 Ataturk University, Turkey
ABSTRACT
Optimization problems are constantly met in everyday life and the main goal in solving
these problems is to determine the solution which gives the best benefit. In this paper, the
road public transport routes of the Erzurum Metropolitan Municipality were examined and
tested by means of an optimization algorithm. The genetic algorithms are used as the
optimization algorithm. The data used in the approach suggested in the study are obtained
from the Erzurum Metropolitan Municipality Public Transportation Directorate and
contains the currently used routes. As a result of the optimization process in the proposed
approach, some of the currently used routes have been determined to be problematic and
accordingly, a new route has been proposed. In the proposed approach, the performance of
the algorithm has been tested and a performance increase of approximately 25% was
achieved.
KEYWORDS - Genetic Algorithm, Route Optimization, Traveler-Salesman Problem
Istanbul, Turkey, May 9-12, 2017
76
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW SOFTWARE DESIGN FOR MUDEK ACCREDITATION PROCESS THE
APPLICATION OF KIRIKKALE UNIVERSITY
ATILLA ERGUZEN1, SEYMA CIHAN1 , VOLKAN ATES1 , ERTUGRUL CAM1
1
Kirikkale University, Turkey
ABSTRACT
Association for Evaluation and Accreditation of Engineering Programs (MÜDEK) is a
non-governmental organization operating for the enhancement of the quality of
engineering education in Turkey in different disciplines. They are trying to create invisible
links and unity between the universities in the developed countries and the universities
accredited by MÜDEK in our country. This link is established with the agreements made
with the European Network for Accreditation of Engineering Education (ENAEE) and
Washington Accord Signatory (WAS) accreditation agencies. However, there are some
requirements, rules and procedures to be followed in this process. In this study, MÜDEK
preparing process conducted by Kırıkkale University Engineering Faculty were
mentioned. In addition, the requirements of MUDEK for accreditation and the software
developed by the faculty were introduced. In conclusion, it is believed that the developed
software will support effective training activities and measurement procedures during and
after the accreditation process of MÜDEK and will benefit other universities that will
apply in the future.
KEYWORDS - engineering education, MUDEK, accreditation of engineering
Istanbul, Turkey, May 9-12, 2017
77
International Conference on Advanced Technology & Sciences (ICAT’17)
PREDICTION OF HEATING VALUES OF REFUSE DERIVED FUEL FROM
PROXIMATE ANALYSIS DATA
KEMAL OZKAN1, SAHIN ISIK1 , AYSUN OZKAN3 ,
ZERRIN GUNKAYA2 , MUFIDE BANAR2
1
Eskisehir Osmangazi University, Turkey; 2 Anadolu University, Turkey
ABSTRACT
Refuse-derived fuel (RDF) is a fuel produced by shredding and mixing municipal solid
waste or industrial waste. In recent years, RDF are used in waste to energy plants and
cement factories as alternative fuel. Determination of heating values of fuels needs
delicate and expensive calorimeter, and is time-consuming. It’s quite desirable to develop
quick and easy model predicting heating values of fuel. So, new empirical correlations
based on proximate analyses of RDF used for prediction of higher heating value (HHV)
are presented in this paper. For this purpose, the moisture (MC), ash (AC) and volatile
(VC) content of the RDF samples were determined according to ASTM D-3173-85,
ASTM D-3174-82 and ASTM D-3172-73, respectively. Also, the HHV of the RDF were
determined using an IKA C200 calorimeter (ASTM D-5865). The correlations have been
developed via linear regression method by using proximate analysis results. The best
correlation, which has least errors, is selected and compared with real HHV analysis
results. The correlation based on first order (HHV = -0.1332*MC + 0.009*AC- 0.009*VC
+ 7) has a total error of 0.92 %. The other correlation which is based on second order
(HHV = -0.2688*MC – 0.007575*AC + 0.4829*VC + 0.0025*MC² + 0.0033*AC² 0.01441*VC² + 5) is indicate that it has good HHV predictive capability.
KEYWORDS - heating value modelling, linear regression; proximate analysis; RDF.
Istanbul, Turkey, May 9-12, 2017
78
International Conference on Advanced Technology & Sciences (ICAT’17)
ANALYSIS OF REAL TIME APPLICATION RESULTS OF BAYESIAN AND
ARTIFICIAL NEURAL NETWORKS ANN ALGORITHMS IN PRODUCING
CREDIT SCORE CARD
ALI TUNC1, HUSEYIN KARADAG1
1
Kuveyt Turk Participation Bank, Turkey
ABSTRACT
Credit scorecard production and development work is a very important part of the
financial sector.Software products called credit scoring systems generally consist of
collecting the customer's data according to previously determined credit factors,
processing the obtained data with various statistical or machine learning techniques and
determining the final credit decision by making a credit risk analysis.These scorecards,
developed in line with the customer's information, are based on any financial action
requested.According to this information, it is decided whether the customer can allocate
necessary loan and fund utilization.In this context, it is tried to be analyzed by finance
institutions in the best way to produce the most accurate results. In addition to the old
customers, the credit status of new customers should be determined.In the absence of too
much financial activity belonging to the customer, statistical results are needed according
to the existing records when the financial and scorecard of this customer needs to be
established.In this study, a training was performed using the data obtained from a private
financial institution and Bayesian and Artificial Neural Networks(ANN) algorithms.The
information that can or cannot be used for the new customer is estimated by including
instant clients on the learned data.The proposed method is run in a number of operations,
and the performance and success rates of the method are presented in real time.The study,
which consists of variables belonging to the customer, was processed by machine learning
and statistical technique and tried to determine the credit value of the customer.Bayes and
Artificial Neural Networks methods and classification problem.According to the obtained
information, the creditability of the customers has been decided.
KEYWORDS - Credit Score Card, Real Time Machine Learning,Artificial Neural
Networks ,Bayesian,Classification
Istanbul, Turkey, May 9-12, 2017
79
International Conference on Advanced Technology & Sciences (ICAT’17)
THE TRUST MODEL FOR EVALUATION OF CLOUD SERVICE PROVIDERS
ATILA BOSTAN1, DENIZ KORAY INCELER1
1
Atilim University, Turkey
ABSTRACT
Cloud services are spreading wide and becoming a global need. The most important
criteria for people who are receiving and sending data, using cloud storage for
information, transferring processes to cloud computing environment has now come to the
fore as a trust. The users mostly doubt about non-technical trust issues instead of technical
Encryption, confidentiality, availability and so on. Either selecting the services or whether
to get cloud services or not. Measuring trust is quite troublesome. Personal view comes
into prominence. It is considered that a measurement and evaluation method which is as
common as possible that aids to evaluate by sorting and categorizing the services. In
accordance with this purpose, we developed a scale that evaluates the trust in cloud
services. We gathered expert opinions. As of the moment the expert standpoints and the
scale will be compared and a fine tune will be applied.
KEYWORDS - Cloud, Trust,service-to-service trust,trust model
Istanbul, Turkey, May 9-12, 2017
80
International Conference on Advanced Technology & Sciences (ICAT’17)
SEED QUALITY CONTROL BY USING ARTIFICIAL NEURAL NETWORK
KADIR SABANCI1, MUHAMMED FAHRI UNLERSEN2, MURAT KOKLU3
1
Karamanoglu Mehmetbey University, Turkey; 2 Necmettin Erbakan University, Turkey;
3
Selcuk University, Turkey
ABSTRACT
Due to the growing markets, it is important to present unmixed species of goods and have
standard quality of goods. To ensure these standards the computer aided quality control
systems gain importance in marketing and producing. One of the most important thing in
wheat production is the seeds. The quality of seeds and being seeds consist of only wanted
species of wheat is so important. With low quality seeds it is inevitable to achieve low
efficiency. Additionally, mixes of unwanted species in the seeds creates extra costs on the
result product to select them. To avoid these problems, a machine vision based selection
study has been proposed. In this study some characteristic parameters that have been
obtained from images taken from seeds, have been used to determine class of wheat. The
attributes of this dataset are area, perimeter, compactness, length, width asymmetry
coefficient and length of kernel groove. 60% of the dataset has been used to train an
Artificial Neural Network (ANN) and rest of the dataset has been used for tests. To obtain
best structure of ANN, the number of neurons in the hidden layer of ANN has been
changed within 1 to 40. And the activation function of hidden layer and output layer has
been investigated for best result. Hyperbolic tangent sigmoid (Tansig), Logarithmic
Sigmoid (LogSig) and Linear (PureLin) transfer functions have been used as activation
function. The prepared ANN structures have been trained various training functions. The
Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) have been used as
performance criteria. All of the results of the researches have been compared and the best
results have been obtained as 0.1598 RMSE and 0.0273 MAE. The structure that has the
best results, has consisted of 25 neurons in the hidden layer with hyperbolic tangent
sigmoid activation function. And this structure has been trained by Levenberg-Marquardt
backpropagation function.
KEYWORDS - Artificial Neural Network, Quality Control, Seed
Istanbul, Turkey, May 9-12, 2017
81
International Conference on Advanced Technology & Sciences (ICAT’17)
LOCAL T1 DISTANCES APPROACH SPACES
MEHMET BARAN1, MUHAMMAD QASIM1
1
Erciyes University, Turkey
ABSTRACT
In the field of theoretical computer science, mathematical structures have been developed
to model semantics of programming language [14]. In 1969, Dana Scott [11] introduced a
domain theory that could provide a mathematical foundation for denotational semantics.
Moreover, in 1972, D. Scott [12] proved that there is one-to-one connection between
continuous lattices and specialization orders of injective T0 topological spaces. This result
shows that there is a deep relationship between order-theoretic properties and topological
properties. Continuous directed complete partial orders (dcpos) endowed with the Scott
topology [13], [14] help to model lambda calculi as well as the denotational semantics of
computer programs. In 1989, Robert Lowen [15] introduced theory of approach spaces
which is based upon point-to-set distances rather than point-to-point distances. In 2011, E.
Colebunders et al. [16] have proved that approach structure on domains induces Scott
topology and characterized some fixed point theorems on these domains in [17]. In 1991,
Baran [4] introduced local separation properties in set-based topological categories and
later, they are generalized to point free definitions by using the generic element method of
topos theory [21] or [22]. In addition to, one of the fundamental usage of local separation
properties is to define the notion of strong closedness in set-based topological categories
that has been used in the notion of Hausdroffness ([4], [6]), Compactness [7], regular,
completely regular, and normal objects in ([8], [9]). In this paper, we characterize local T1
distance-approach spaces and investigate the relationship with usual T1 distanceapproach
spaces. ACKNOWLEDGMENT This research was supported by the Scientific and
Technological Research Council of Turkey (TUBITAK) under Grant No: 114F299 and the
Erciyes University Scientific Research Center (BAP) under Grant No: 7174.
KEYWORDS - Topological category, distance-approach spaces, gauge-approach spaces,
local T1 spaces.
Istanbul, Turkey, May 9-12, 2017
82
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINATION OF PLANT SPECIES USING VARIOUS ARTIFICIAL
NEURAL NETWORK STRUCTURES
MUHAMMED FAHRI UNLERSEN1, MURAT KOKLU2, KADIR SABANCI3
1
Necmettin Erbakan University, Turkey; 2 Selcuk University, Turkey;
3
Karamanoglu Mehmetbey University, Turkey
ABSTRACT
In daily life, humankind surrounded with many kinds of plants. But knowing all of the
species and characteristic of these plants is impossible. An application that gives
information about plants from its database could be very attractive. Not only botanist but
also anyone who loves plant/bass would interest on an application that determine species
or families of a plant automatically by using a photo of leaves taken instantly. In this
study, a dataset by using many species of plants leaf image has been created. The
attributes of dataset consist of some morphological and color based properties obtained by
image processing. There are 14 attributes with 340 instances. To obtain best results with
Artificial Neural Network (ANN) many structures have been investigated. Root Mean
Square Error (RMSE) and Mean Absolute Error (MAE) have been used as performance
criteria. While number of neurons in the hidden layer has been changing from 1 to 20, the
performance criteria has been observed. All of the tested structures mentioned above has
been trained with various training functions. Best structure and training function is
obtained when there are 15 neurons in the hidden layer with LogSig activation function.
For best situation the RMSE and MAE are 0.0007 and 0.0001 respectively. The training
function is scaled conjugate gradient backpropagation.
KEYWORDS - Artificial Neural Network, Determination of Plant
Istanbul, Turkey, May 9-12, 2017
83
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON OF OPTIMIZATION METHODS BASED ON GSA
NIHAN KAZAK1, NESIBE YALCIN1, ALI ERDEM CERCEVIK1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
In recent years, many heuristic evolutionary optimization algorithms have been developed.
Gravitational search algorithm (GSA) is one of these algorithms. It is inspired by
Newton’s law of universal gravitation. In this paper, we compare two modified algorithms
based on GSA. One of the algorithms is called Member-Satellite algorithm. Members are
randomly positioned in the search space and a certain amount of satellites are assigned
around the members in the predetermined region. Members and their satellites are used to
find a near optimal solution all together. The second one is MSS-GSA. When
interconnected objects are used, it is possible to obtain a solution closer to the optimum
point. For this reason mass spring system is integrated into the GSA. Three benchmark
functions are used to compare performance. Experimental results show that the highest
performance is obtained with Member-Satellite algorithm.
KEYWORDS - gravitational search algorithm, heuristic algorithm, optimization, swarm
intelligence
Istanbul, Turkey, May 9-12, 2017
84
International Conference on Advanced Technology & Sciences (ICAT’17)
A SMART PARKING LOT SENSOR SYSTEM
PINAR KIRCI1, SELEN SAGLAMOZ1, MURAT SENER1
1
Istanbul University, Turkey
ABSTRACT
Today, technology improves and facilitates our lives.Technology takes place in daily life
with smart phones, smart cars, smart homes and smart clocks. Thus, these smart systems
and devices take part during lifetime. To become a smart program or a system, some
characteristics should be included: - To make decision - To sense - To learn - To solve
problem - Reasoning - To recognize figures or pictures - To understand natural language
The capability of carrying out variable jobs and applications simultaneously makes smart
systems indispensable.Smart portable systems may provide almost all of the applications
which are provided by a stationary computer system. We considered main requirements of
customers in a parking lot; Automatic barrier system, empty/occupied area sensing and
monitoring. Empty parking lots are monitored with sensors that are placed on the parking
lot floors, in our project.Also, the number of the empty parking lots are presented at the
entrance of the parking lots. Thus, if there is not an empty parking lot then the customer
does not enter the parking garage and leave.So, time and money is saved. As soon as a
customer leaves its parking lot, its place will be realized by the system. After it leaves
from the exit, its place will shown as empty for preventing the crowd. At the entrance and
exit, possible disorders are prevented. We utilized an Arduino Mega 2560 which is an
ATmega2560 base circuit board. It is programmed over Arduino IDE. CNY 70 konstrat
sensors are used to decide the empty parking lots. CNY 70 sensor emits infrarosso and
produces analog outputs according to taking infrarosso back or not. It helps us to
determine if there is a reflective surface in front of the sensor. If there is a surface in front
of the sensor, we understand that there is a car parked on the considered parking lot. The
sensors which are occupied by cars are represented by red lamplights which are on. In the
first scenario, at the entrance the number of occupied parking lots are given as three at the
table of the parking lot together with empty parking lot as one. For this reason, the
automatic barrier is opened for the fourth car to enter in the parking lots area.
KEYWORDS - Sensors, wireless networks, parking lots, cost
Istanbul, Turkey, May 9-12, 2017
85
International Conference on Advanced Technology & Sciences (ICAT’17)
EMPIRICAL EXPLORATION FOR THE CORRELATION BETWEEN OBJECT
ORIENTED CLASS COHESION AND INHERITANCE
JEHAD AL DALLAL1
1
Kuwait University, Kuwait
ABSTRACT
The overall quality of the object-oriented software is greatly affected by the design of the
internal relationships among object-oriented class members (i.e., attributes and methods)
and the external relationships among classes. To maintain high quality and reduce code
redundancy, developers are advised to build classes with high degree of cohesion (i.e.,
relatedness among class members) and implement class inheritance concepts whenever
applicable. In object-oriented systems, instead of redefining the attributes and methods
that are included in other classes, a class can inherit these attributes and methods and only
implement its unique attributes and methods, which results in reducing code redundancy
and improving code testability and maintainability. In this paper, we empirically
investigate the relation between class cohesion and inheritance using classes of three opensource Java systems. We consider five cohesion and two inheritance measures. The
empirical study results show that cohesion and inheritance internal quality attributes are
inversely correlated. In addition, the results indicate that the cohesion and inheritance
quality attributes are almost orthogonal.
KEYWORDS - object-oriented class, software quality, class cohesion measure, class
inheritance measure
Istanbul, Turkey, May 9-12, 2017
86
International Conference on Advanced Technology & Sciences (ICAT’17)
A SMART CAR PARKING SYSTEM BASED ON GPS COORDINATES
GOKHAN KAYHAN1, ISMAIL ISERI1, SEVKI UTKU MALKOCOGLU1
1
Ondokuz Mayis University, Turkey
ABSTRACT
While technology has evolved very quickly, it has brought along many innovations and
conveniences. In this regard, technology has become an indispensable part of our lives.
Nowadays, most people use smartphones and the applications developed for smartphones
make people's business easier and managable. In this study, the technological facilities
provided by smartphones were used to solve the problem of finding parking space in the
parking lots.The proposed parking system solves two fundamental problems. The first
problem is to find the location of the suitable parking areas in the parking lots. The second
problem is to help the drivers to find their previously parked car in the parking lot. The
system also guides to the nearest free parking place in a multi-storey car park by using the
altitude property of the device’s GPS module. The car parking system which uses mobile
device’s GPS module allows the drivers to find the nearest available parking space in the
parking lot. This car parking system will reduce time spent looking for a parking spaces in
parking lots and help to make city parking less stressful and optimally distribute parking
spaces.
KEYWORDS - Android, Car Parking System, Google Maps API, Volley API, GPS
Module.
Istanbul, Turkey, May 9-12, 2017
87
International Conference on Advanced Technology & Sciences (ICAT’17)
QR CODE BASED ENCRYPTION AND DECRYPTION OF TRIANGULAR
GEOMETRY PROBLEMS
CHEIKHNA LO1
1
Karadeniz Technical University, Turkey
ABSTRACT
This study focuses on the design and implementation of a QR code-based encryption and
decryption system for triangular geometry problems. The encryption stage starts with the
development of a context-free grammar to describe triangular problems in a formal
language. Triangle descriptions are then encrypted using a traditional cryptography
algorithm and lastly the corresponding QR code is generated. In the decryption stage, the
QR code is decrypted and a parser, which is automatically produced by the JavaCC tool, is
used to analyze and show the related problem graphically. The developed system provides
QR code reader-like tool and presents an elegant way to be able to display mathematical
problems on various devices easily. With such a tool, the whole questions of an exam can
be encoded in QR code and stored in smaller sizes. This would significantly increase the
security of exams and decrease question data, which can be particularly transmitted on
mobile devices, in size.
KEYWORDS - Formal grammar, encryption, QR code, security, geometry
Istanbul, Turkey, May 9-12, 2017
88
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISION OF ORGANIZED INDUSTRIAL ZONES EFFICIENCY BY
USING A COMMON WEIGHT DEA BASED DECISION MODEL
BURCU DENIZ TULEK1, NAZLI GOKER1, MEHTAP DURSUN1
1
Galatasaray University, Turkey
ABSTRACT
Organized Industrial Zones (OIZs) are the production areas of goods and services that are
established to provide planned industrialization and planned urbanization by structuring
the industry in suitable areas, to prevent environmental problems and to provide efficient
use of resources. They began to be established and supported by the Turkish government
since 1960s and at the present time there are one or more OIZs in all cities of Turkey
(except Artvin). The low occupancy rates of these OIZs make the question of whether the
OIZs work efficiently. This study aims to evaluate the efficiencies of OIZs located in the
Eastern Black Sea Region of Turkey by using a data envelopment analysis based common
weight decision model, which is a powerful method to measure the relative efficiencies of
decision making units.
KEYWORDS - Common weight DEA based decision model, Decision support systems,
Multi-criteria decision-making, Organized industrial zones;, Performance evaluation
Istanbul, Turkey, May 9-12, 2017
89
International Conference on Advanced Technology & Sciences (ICAT’17)
MODELING OF SOCIAL PERFORMANCE METRICS WITH ARTIFICIAL
INTELLIGENCE TECHNIQUES
ENES CELIK1, ADIL KONDILOGLU2, HARUN BAYER1, MUHAMMET ATALAY1
1
Kirklareli University, Turkey; 2 Beykent University, Turkey
ABSTRACT
The social media yield a huge flood of heterogeneous data that is voluntarily published
and shared by billions of individual users all over the world. As a result, the representation
of an entity in this data may consist of various data types, including location and other
numeric attributes, textual descriptions, images, videos, social network information and
other types of information. Searching similar entities in this multi enriched data exploiting
the information of multiple representations simultaneously promises to yield more
interesting and relevant information than searching among each data type individually.
This study presents a research approach using artificial intelligence techniques for model
the performance metrics of posts published in brands' Social media pages. Firstly, the
performance metrics data was classified with machine learning algorithms and then
training and test results were analysed. The estimation results of the performance metrics
were compared with similar data and similar studies. We have drawn a decision process
flow from model, which by complementing the sensitivity analysis information may be
used to support manager's decisions on whether to publish a post.
KEYWORDS - machine learning, social network, Decision support system, metrics,
Artificial Intelligence
Istanbul, Turkey, May 9-12, 2017
90
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPLEMENTATION OF DEFECT DETECTION ON MILITARY CARTRIDGE
WITH OPENMP
OMER FARUK BAY1, SEMRA AYDIN1, REFIK SAMET2
1
Gazi University, Turkey; 2 Ankara University, Turkey
ABSTRACT
Image processing techniques requires long processing time. It is known that time is crucial
in real time applications. Serial image processing does not satisfy real time conditions
adequately. To decrease processing time, parallel computing techniques can be used.
Parallel computing techniques have two types of memory model named shared and
distributed. OpenMP is a parallel programming model for shared memory machines. This
paper describes the implementation of defect detection algorithm on military cartridge
using OpenMP. Experimental results showed that using OpenMP platform give us an
acceleration of 6.34 times in comparison with serial computing.
KEYWORDS - Parallel processing, parallel computing, shared memory model, OpenMP,
defect detection
Istanbul, Turkey, May 9-12, 2017
91
International Conference on Advanced Technology & Sciences (ICAT’17)
NEAR FIELD COMMUNICATION BASED ROLL CALL SYSTEM
SEYIT ALPEREN CELTEK1, MAHMUT DURGUN1, KADIR SABANCI1
1
Karamanoglu Mehmet Bey University, Turkey
ABSTRACT
Near-field communication (NFC) is a one of the wireless communication technologies that
enable two way interactions between electronic devices, one of which is usually a portable
device such as a smart device. This research has developed a roll call system for school
using NFC technology. The proposed systems consist of hardware and software
components. The smartphone supported NFC used as a hardware. The android program
developed for the read student card and record attendance information to internet. The
NFC enabled roll call systems aims at reduce paper work and waste of time. Also
authorities and parents are able to learn real time attendance information. The proposed
NFC roll call system will be a valuable guide for universities and schools which would
like to change conventional roll call model to smart attendance system.
KEYWORDS - NFC, Attendance Sytems, Roll Call System
Istanbul, Turkey, May 9-12, 2017
92
International Conference on Advanced Technology & Sciences (ICAT’17)
SELECTION OF A SUITABLE WIND POWER PLANT WITH ECONOMICAL
ANALYSIS FOR AMASRA CITY TURKEY
YAGMUR ARIKAN1 , OZGE PINAR AKKAS1 , ERTUGRUL CAM1
1
Kirikkale University, Turkey
ABSTRACT
In this study, the wind energy potential of the city of Amasra in Turkey was analysed.
Data from the General Directorate of Turkish Meteorology for the years of 2012-2013
were taken. The data had been recorded for a height of 10 m by the Directorate. In the
analyses, annual average wind speed of the city was found as 5.77 m/s. In order to
calculate the annual wind energy generation and capacity factor of the city, a 600-kW
turbine belonging to Nordex company and 900 kW and 2300 kW turbines belonging to
Enercon company were used. Thus, investment feasibility with 3 different turbines was
analysed. In the economic analysis, payback and net present value methods were used. In
conclusion, it became clear that the use of 2300 kW turbine in the region would be more
profitable.
KEYWORDS - wind energy, wind turbines, capacity factor, cost analysis
Istanbul, Turkey, May 9-12, 2017
93
International Conference on Advanced Technology & Sciences (ICAT’17)
IN SITU UV EXCITATION STUDY ON MATRIX ISOLATED 2 CHLORO 6
FLUOROBENZOIC ACID
NIHAL KUS1, RUI FAUSTO2
1
Anadolu University, Turkey; 2 Coimbra University, Portugal
ABSTRACT
2-Chloro-6-fluorobenzoic acid was studied by matrix isolation IR spectroscopy, and the
analysis of the experimental vibrational data was supported by DFT(B3LYP) calculations.
According to the theoretical calculations, the ClFBA molecule exists in three different
conformers. Conformers II and III are higher in energy than I by 17.1 and 17.3 kJ mol−1
(16.0 and 16.5 kJ mol−1, after consideration of zero-point corrected energy), respectively.
According to the energy data predicted theoretically only conformer I was expected to be
present in the cryogenic xenon matrix, a result that was confirmed experimentally. Laser
UV ( = 235 nm) excitation of matrix-isolated ClFBA led to prompt decarboxylation of
the compound, with production of CO2 and 1-chloro-3-fluorobenzene (ClFB), whose
vibrational signature could be doubtlessly identified in the spectra of the photolysed
matrix.
KEYWORDS - 2-Chloro-6-fluorobenzoic acid, Matrix isolation spectra, DFT(B3LYP)
calculations, FTIR spectroscopy, 1-Chloro-3-fluorobenzene, UV-induced photolysis
Istanbul, Turkey, May 9-12, 2017
94
International Conference on Advanced Technology & Sciences (ICAT’17)
P TYPE DYE SENSITIZED SOLAR CELLS ENHANCED PERFORMANCE
WITH A GRAPHENE CUO NANOSTRUCTURES
BAYRAM KILIC1, SUNAY TURKDOGAN1
1
Yalova University, Turkey
ABSTRACT
A photoactive CuO electrode for p-type dye-sensitized solar cells (p-DSCs) has been
designed by the introduction of graphene coatings layer on FTO substrate. This study
examined the facile process for the fabrication of a compact CuO nanostructures. The
N719-dye used as the photosensitizer for the CuO electrode in the p-DSCs device and their
performances have been analyzed. The enhancement of both short-circuit photocurrent
(Jsc) and fill factor (FF) resulted in a twofold increase in the power conversion efficiency
(h). Dye-sensitized photocathodes (p-DSCs) operate in an inverse mode, where dyeexcitation is followed by rapid electron transfer from a p-type semiconductor to the dye
(dye-sensitized hole injection). Here we show that p-DSCs can convert absorbed photons
to electrons with resulting in a sevenfold increase in energy conversion efficiency
compared with previously reported photocathodes.
KEYWORDS - Graphene, CuO, DSSC,P-TYPE DSSC
Istanbul, Turkey, May 9-12, 2017
95
International Conference on Advanced Technology & Sciences (ICAT’17)
INVESTIGATION OF FIRE EXTINGUISHER TUBE STRESS AND
DEFORMATION CONCEPTS UNDER THE OVERPRESSURE LOADING FOR
DIFFERENT MATERIALS
MEHMET HANIFI DOGRU1, IBRAHIM GOV1, KURSAD GOV1, EYUP
YETER1, IBRAHIM HALIL GUZELBEY1
1
Gaziantep University, Turkey
ABSTRACT
In industrial applications, four different types of fire extinguisher tubes are used. These are
water fire extinguisher, foam fire extinguisher, dry powder fire extinguisher, and CO2 fire
extinguisher. Overpressure concept is so crucial for the fire extinguisher tube in filling
time or when the tube exposed to high temperature. Body materials are also important to
prevent tearing for these type of tubes. In this study, fire extinguisher tube, which is 1.3 kg
CO2 fire extinguisher, is investigated in terms of the overpressure loading. Three different
materials, which are ck45 steel, aluminum, and glass epoxy composite, are used to
perform this study. Symmetrical tube model is created according to Turkish standards,
which are TS 1519 and TS 11169. Numerical simulation of the study is performed using
ANSYS-Workbench, which is finite element program. Analyses system, which are static
structural and fatigue analysis, is used to perform numerical study. Stress and deformation
concepts are investigated. Factor of safety and fatigue life are also investigated for the fire
extinguisher tube.
KEYWORDS - Fire extinguisher tube, finite element analysis, overpressure, stress, factor
of safety.
Istanbul, Turkey, May 9-12, 2017
96
International Conference on Advanced Technology & Sciences (ICAT’17)
VOLTAGE BREAKDOWN AND LEAKAGE CURRENT STUDIES OF TIO2
AL2O3 CERAMIC NANO COMPOSITE CAPACITOR
ALARA ULAC1, DOGAN AKCAN1, MEHMET CAN ALPHAN1, LUTFI ARDA1, ALI
GUNGOR1
1
Bahcesehir University, Turkey
ABSTRACT
Despite capacitors which have a fairly simple structure have many applications in fields
like energy distribution, electronic circuits, and energy storage. Due to its wide application
fields, increasing performance of capacitors is a very intensely studied topic. In this study,
effect of composition ratio of components in nanocrystalline TiO2-Al2O3 ceramic
composites (TAO) on capacitance, break down voltage, and leakage current is
investigated. By using nanocrystalline structure flexible capacitors are obtained which can
extend applications of ceramic capacitors. Capacitor structure is formed by sandwiching
TAO between readily cleaned aluminum plates. TiO2/Al2O3 ratio is arranged from 100%
to 0% by weight. Ceramic mixture is grinded in agate mortar and coating paste is prepared
by introducing a few drops of acetic acid – water – dish soap solution. As prepared paste is
spread onto surface as a thick film by using doctor’s blade method. Coated plates are
sintered in muffle furnace at 500°C for 30minutes to remove organics in film structure.
Crystalline structure of the coatings examined by X-ray diffraction (XRD) and surface
morphology is examined by SEM. To form nanocrystalline ceramic capacitor two thick
film coated plates are sandwiched. Besides ceramics, effect of polymer introduction to
system is investigated by introduction of polyethylene (PE) sheets between coated plates.
Break down voltage of TAO ceramic capacitors have been investigated via high voltage
power supply. Leakage currents of capacitors tested with high resistance precision
electrometer alongside the DC capacitance measurements. The AC characterization of the
capacitors have been conducted with an impedance analyzer by means of analyzing
dielectric losses at room temperature.
KEYWORDS - Voltage breakdown, leakage current, TiO2-Al2O3, nano-composite
capacitor
Istanbul, Turkey, May 9-12, 2017
97
International Conference on Advanced Technology & Sciences (ICAT’17)
REACTION OF ACETOPHENONE FORMALDEHYDE RESIN WITH S
TRIAZONE COMPOUNDS FOR FIRE RESISTANCE POLYURETHANE
MINE MUTLU1, NILGUN KIZILCAN1, AHMET AKAR1, NESRIN KOKEN1
1
Istanbul Technical University, Turkey
ABSTRACT
In this study, acetophenone formaldehyde resin (AFR) was synthesized primarily in basic
medium. Then, AFR was modified via their hydroxyl groups by reaction with s-triazone
that was produced by the reaction of urea with the mixture of formaldehyde and alendronic
acid. S-triazone reacts with formaldehyde in the presence of acid catalyst to give methylol
derivatives. Methylol derivatives of s-triazone give condensation products in an acid
media with resin. The mol ratio of s-triazone / resin was about 1/10. Insertion of functional
s-triazone cyclic structure to the AF-Resin effected its physical properties considerably.
The products were characterized by FTIR, 1H-NMR, 13C-NMR and 31P-NMR
spectroscopic analysis.
KEYWORDS - Resin, acetophenone, s-triazone, formaldehyde.
Istanbul, Turkey, May 9-12, 2017
98
International Conference on Advanced Technology & Sciences (ICAT’17)
USING A NEW METHOD BASED ON FINSLER GEOMETRY FOR WIND
SPEED MODELLING
EMRAH DOKUR1, SALIM CEYHAN1, MEHMET KURBAN1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
Accurately modelling of wind speed is very important for the assessment of wind energy
potential of a certain region. Before the installation of a wind energy conversion system in
a region, the wind speed potential of that region needs to be determined and modelled. For
this reason, different distribution functions such as two-parameter Weibull, Gamma,
Lognormal, Rayleigh etc. are proposed for accurately modeling wind speed in the
literature. In this paper, new probability and cumulative probability density functions
based on Finsler geometry are proposed for wind speed modelling. Two-dimensional
Finsler space metric function is obtained for Weibull distribution. Monthly analysis for
Yalova, Turkey is realized using a new method based on Finsler geometry and twoparameter Weibull distribution. Wind data, consisting of hourly wind speed records
between October 2015-September 2016 were obtained from the Yalova station of Turkish
State Meteorological Service. The performances of the models are given comparatively by
using root mean square error (RMSE).
KEYWORDS - Finsler Geometry, Wind Speed, Modelling, Weibull Distribution,
Renewable Energy.
Istanbul, Turkey, May 9-12, 2017
99
International Conference on Advanced Technology & Sciences (ICAT’17)
EFFECT OF INDIUM INCORPORATION ON THE STRUCTURAL AND
OPTICAL PROPERTIES OF ZNS NANOSTRUCTURED FILMS USED AS
WINDOW LAYER IN SOLAR CELLS
TULAY HURMA1
1
Anadolu University, Turkey
ABSTRACT
ZnS and ZnS:In films have been deposited by ultrasonic spray pyrolysis method. Three
different atomic ratios of indium chloride were used as a dopant element. The effect of
indium incorporation on structural and optical properties of ZnS films has been
investigated. XRD spectra show that the crystalline quality decreased with incorporation
of small amount of lithium in the spraying solution. The crystallite sizes were calculated to
be in the range of 4-5 nm. All the films exhibit the Raman hump-like feature around 131,
350 and 559 cm-1 and the hump profiles are almost symmetric. The optical band gap of
these films were determined. The optical properties of In doped ZnS films changed
compared to undoped ZnS film.
KEYWORDS - In doped ZnS film, XRD, FTIR, Raman, Optical properties
Istanbul, Turkey, May 9-12, 2017
100
International Conference on Advanced Technology & Sciences (ICAT’17)
SYNTHESIS OF GLYCOLURIL DERIVATIVES FOR FIRE RESISTANCE
POLYURETHANE
NILGUN KIZILCAN1, ESRA TUNCEL1, AHMET AKAR1
1
Istanbul Technical University, Turkey
ABSTRACT
Glycolurils have been received a great attention due to their applications as fertilizers (1),
psychotropic agents, stabilizers of organic compounds against photodegradation (2),
explosives (3), polymer crosslinking agents (4, 5), catalysts, bleaching activators (6- 8),
and their use in combinatorial chemistry (2, 9). Glycolurils are also important building
blocks for both molecular and supramolecular chemistry (10). Particular attention has been
turned to cucurbiturils (11) (CB[n]) which are intriguing macrocyclic compounds, whose
skeleton is constituted by glycolurils ring moieties (12-15). Glycoluril oligomers were also
synthesized before (16-17). In this study, condensation product of glycoluril with
formaldehyde and ethanol amine was produced and used as polyol in the production of
rigid polyurethane form in order to improve its fire resistance. In this study, condensation
product of glycoluril with formaldehyde and ethanol amine was produced and used as
polyol in the production of rigid polyurethane form.
KEYWORDS - Glycoluril, glycoluril dimer, ethanol amine, urea, formaldehyde.
Istanbul, Turkey, May 9-12, 2017
101
International Conference on Advanced Technology & Sciences (ICAT’17)
EXPERIMENTAL INVESTIGATION OF HEAT STORAGE BEHAVIOUR IN A
PHASE CHANGE MATERIAL UNDER SOLAR RADIATION
MEHMET EMIN CANLI1, ADEM ACIR1
1
Gazi University, Turkey
ABSTRACT
This study was aimed to investigate heat storage behaviour in a phase change material
(PCM) under solar radiation as experimentally. For the purpose of this, an experimental
set-up was designed and paraffin wax supplied from AGS Paraffin Company was used.
Two different types of PCM storage media were produced as without fin (Type-I) and with
fin (Type-II). Three different constant solar radiation fluxes were applied on PCM storage
boxes by using infrared lamb in laboratory conditions. The melting time and
characteristics of designed Type-I and Type-II were investigated. The results showed that
fin appliance under solar radiation absorber surface fastened paraffin wax melting,
moreover, it improved the internal heat transfer uniformity of paraffin wax as it is
expected. This study was accepted the first step for future studies about solar energy
storage systems with trying to understand melting characteristics of paraffin wax.
KEYWORDS - Solar energy, Phase change material (PCM), Thermal energy storage
(TES), Paraffin wax, Heat transfer
Istanbul, Turkey, May 9-12, 2017
102
International Conference on Advanced Technology & Sciences (ICAT’17)
INVESTIGATION OF NONLINEAR PATHS OF FLUIDS FLOW DETERMINED
BY FINSLER GEOMETRY THROUGH INHOMOGENEOUS POROUS MEDIA
DERYA ULUG1, SALIM CEYHAN1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
In this paper, nonlinear paths of the fluids flow determined by the Finsler geometry
conforming to Darcy's law have been investigated through inhomogeneous porous media.
Geodesics in a Finsler space are used to determine the non-linear paths of a fluid flow in
inhomogeneous anisotropic porous medium.Significant differences occur between the
Riemannian and Finslerian geodesics due to the directional dependence of Darcy’s flow of
fluids. In an optimum path (a geodesic) in physical space, it guarantees the maximum flux
or shortest transition time of the fluid through inhomogeneous porous medium. Fermat’s
variational principle is used to minimizing the total resistance through inhomogeneous
porous medium. The fluid streamlines move between areas exposed to minimal resistance.
Therefore, the path of Darcy’s flows of fluid can be defined by geodesics in Finsler
geometry [1]. The various functional properties of the hydraulic conductivity of porous
media are examined and given graphically. In this study, various functional structures of
hydraulic resistance of the inhomogeneous porous media are examined and the results
obtained are given graphically.
KEYWORDS - Darcy’s flow of fluids through inhomogeneous media, Fermat’s variational
principle, Finsler geometry, Prous media, Hydraulic head, Kropina metric
Istanbul, Turkey, May 9-12, 2017
103
International Conference on Advanced Technology & Sciences (ICAT’17)
THE EFFECTS OF INCENTIVES ON RENEWABLE ENERGY RESOURCES
FOR HOME USERS
FATIH BULUT1 , MURAT LUY1 , ERTUGRUL CAM1
1
Kirikkale University, Turkey
ABSTRACT
In this study, economical and emission analysis for meeting the electricity demand of a
randomly selected house which has renewable energy sources was carried out. The house
chosen as an example is in Balikesir city. As a household load, the average daily
electricity needs of a family of four were accepted and different scenarios were planned
using the Hybrid Optimization Model for Electric Renewable (HOMER) program to meet
this need. Several scenarios were dealt with as to whether the systems designed for gridconnected photovoltaic, wind turbine and hybrid systems were indigenous manufacturing
incentives. In addition, energy unit costs and total investment costs were determined and
economic analysis was carried out. When the results of the study are examined, gridconnected photovoltaic, wind turbines and hybrid systems were found to be significantly
less than the costs incurred by net present costs when they were established within the
scope of domestic manufacturing incentives.
KEYWORDS - incentive, investment, grid-connected,Renewable, domestic
Istanbul, Turkey, May 9-12, 2017
104
International Conference on Advanced Technology & Sciences (ICAT’17)
FREQUENCY MODULATED IMPULSE RESPONSE PHOTOTHERMAL
REFLECTANCE THEORY OF JUNCTION VERTICAL PARALLEL SILICON
SOLAR CELL
GOKHAN SAHIN1
1
Igdir Universitesi, Turkey
ABSTRACT
This study investigates the study of the photo-thermal and temperature response of a
junction vertical parallel silicon solar cell illuminated under multispectral illumination
with a constant modulated frequency. Solving the continuity equation for minority carriers
in the base of the solar cell through the use of phenomenological parameters such as
recombination velocities at the junction and the back of the base and the thermal behaviour
of the solar cell, we analysed and studied the density of minority charge carriers, the
temperature amplitude and the density of heat flow. Representations of Nyquist and Bode
plots of the thermal dynamic impedance resulted in an equivalent electrical circuit of the
photocell.
KEYWORDS - Vertical parallel Junction silicon solar cell, Temperature, Heat flux, Bode
and Nyquist diagram.
Istanbul, Turkey, May 9-12, 2017
105
International Conference on Advanced Technology & Sciences (ICAT’17)
TRANSMISSION EXPANSION PLANNING INCLUDING POWER LOSS COST
USING LINEARIZED AC MODEL
MEHMET FATIH CANKURTARAN1, FARUK UGRANLI2, ENGIN KARATEPE1
1
Dokuz Eylul University, Turkey; 2 Bartin University, Turkey
ABSTRACT
Transmission expansion planning (TEP) is a large-scale and mixed integer nonlinear
problem. Due to its nonlinear nature and large scale problem, it is hard to solve this
problem without any linearization. The motivation of this work is to present the
importance of power loss in the TEP problem. In this study, a linearized-AC network
model is used to solve this problem because of the lack of DC-model. In that manner, the
cost turnover time is evaluated by including both line investment and power loss costs in
the objective function. In the problem, bi-level programming is used to solve both
economic dispatch and TEP problem with together, where TEP problem is solved at upper
level and economic dispatch is solved at lower level. The linearized-AC and DC-lossy
models are applied to the IEEE 24-bus test system. Simulation results can be interpreted in
terms of cost turnover time when considering power loss in the TEP problem. Moreover,
the expanded networks obtained from the linearized-AC and DC-lossy models are tested
with full AC representation of transmission network for network constraints and
presenting trade-offs between two models.
KEYWORDS - Transmission expansion planning, AC model, power loss, mixed-integer
linear programming
Istanbul, Turkey, May 9-12, 2017
106
International Conference on Advanced Technology & Sciences (ICAT’17)
EFFECT OF TRISO FUEL OF THE BURNING OF REACTOR GRADE
PLUTONIUM IN CANDU REACTOR
ADEM ACIR1, TAHA HUSEYIN MERMER1
1
Gazi University, Turkey
ABSTRACT
The paper investigates the effect of the TRISO fuel of the burning of reactor grade
plutonium in CANDU reactors. TRISO fuels particles are imbedded random packing (RP)
in a graphite matrix with a volume fraction of 61%. Calculations have been performed
SCALE-XSDRNPM code. The three different mixed fuel were performed for CANDU
reactor containing 10 % RG-PuO2 + 90 % UO2;  20 % RG-PuO2 + 80 % UO2 and 
50 % RG-PuO2 + 50 % UO2. The initial criticality (k,0 values) were obtained as 1.612,
1.638 and 1.681 for each modes, respectively. The operation times computed ~ 1.51, 3.02
and 6.86 years whereas; the corresponding burn ups values are ~ 77 000, 161 000 and 447
000 MW.d/tonne, respectively. TRISO fuel of CANDU reactor has been provided the
higher burn ups according to original fuel.
KEYWORDS - CANDU reactors, TRISO fuel, Uranium, Plutonium, High burn up
Istanbul, Turkey, May 9-12, 2017
107
International Conference on Advanced Technology & Sciences (ICAT’17)
SELECTION OF A SOLAR POWER PLANT LOCATION BY USING AHP
METHOD
OZGE PINAR AKKAS1, YAGMUR ARIKAN1, ERTUGRUL CAM1
1
Kirikkale University, Turkey
ABSTRACT
In recent years, investments of Solar Power Plant (SPP) have increased since the cost of
photovoltaic has decreased. Nevertheless, feasibility studies remain important as the cost
of installation is still relatively high. One of the most important parameters in the
feasibility studies is the appropriate location selection. In this study, the appropriate
location selection for the SPP was studied with the Analytical Hierarchy Process (AHP)
which is one of the Multi Criteria Decision Making (MCDM) methods. For the
application, Elazığ, Kahramanmaraş and Malatya cities, which are located on the same
plane, were selected as examples. As criteria, solar energy potential, earth slopes and
feeder capacities, which are important in feasibility studies, were considered. In the results
of the study, Kahramanmaraş was found as the most suitable city for establishment of SPP.
It was followed by the cities of Malatya and Elazığ. The results were approved by
considering the data of cities' sunshine duration and radiation value in Solar Energy
Potential Atlas (GEPA). It was also been proven that the method may be recommended for
SPP installations.
KEYWORDS - Renewable energy, solar power plant, Multi Criteria Decision Making,
Analytic Hierarchy Process
Istanbul, Turkey, May 9-12, 2017
108
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINATION OF SOME CHARACTERISTIC PARAMETERS OF
PHOTOVOLTAICS USING DIFFERENT ANALYTICAL METHODS
AYSEGUL TOPRAK1, HAMDI SUKUR KILIC1
1
Selcuk University, Turkey
ABSTRACT
Renewable energy is generated from natural resources such as wind, water, geothermal
and solar energy (Photovoltaics, PV). Among the various renewable energy sources, solar
energy is one of the most promising source and gaining attraction for a wide usage as a
natural source of energy. It is foreseeable that solar power generation can contribute
prominently to overcome the indisputable problems of global warming and climate
change. Solar energy is the ultimate source of power. The operation principles of all solar
cells of present days is essentially similar and based on the photovoltaic effect. In general,
the photovoltaic effect means the generation of a potential difference at the junction of two
different materials in response to visible or other radiation. Photovoltaic solar cells can
convert sunlight directly into electricity. The photovoltaic panels is defined by an
equivalent circuit model. Four parameters model is one of the commonly used in literature.
Knowing the photovoltaic panel parameters is of importance for the design and estimates
the performance of solar cells. Therefore, the parameters are needed to be calculated by a
proper method. The determination of some characteristic parameters for the four parameter
model using simplified method and slope method is the main purpose of the present work.
The results obtained with different methods were analysed and compared with those of the
manufacturer datasheet used. Further it has been determined that the different radiation
and the different temperature is effective on the photovoltaic parameters.
KEYWORDS - Photovoltaic, Four Parameters Model
Istanbul, Turkey, May 9-12, 2017
109
International Conference on Advanced Technology & Sciences (ICAT’17)
SERVO MOTOR DRIVEN HUMAN GYROSCOPE STRUCTURE FLIGHT
SIMULATOR
KURSAD GOV1, EYUP YETER1, MEHMET HANIFI DOGRU1, IBRAHIM
GOV1, IBRAHIM HALIL GUZELBEY1
1
Gaziantep University, Turkey
ABSTRACT
In this study, a flight simulator was designed as a human gyroscope structure and its
prototype was manufactured. Normally, human gyroscopes are used for entertainment
application in funfair. They do not have any driven system; their movements are actuated
by the rider movement. Human gyroscope is used for circulatory workout and balance
training for pilots and astronauts. They can also be used as flight simulator. In this study, a
prototype human gyroscope type flight simulator was designed and manufactured. In the
design stage of the human gyroscope, motor driven systems are the most crucial stage. So,
the motors’ selection and calculations are very important. Also, the structure of the flight
simulator is important, it must be light in weight and strong for rapid movement. The
servo motors, servo motor drivers and gearboxes are chosen as an actuator of the flight
simulator and the calculations have been done according to the servo motor actuators.
KEYWORDS - Flight simulator, human gyroscope, servo motor, actuators, prototype
Istanbul, Turkey, May 9-12, 2017
110
International Conference on Advanced Technology & Sciences (ICAT’17)
SHORT TERM FORECASTING OF RENEWABLE ENERGY PRODUCTION
ACCORDING TO DAILY DATA USING ARTIFICIAL NEURAL NETWORK
BAYRAM AKDEMIR1, FATIH MEHMET SENALP1
1
Selcuk University, Turkey
ABSTRACT
Renewable energy is getting common day by day to improve government acts and
capability. Moreover, diversified power plants lead to reduce primary source risks. On the
contrary, renewable energy sources are limited to use up and wait for second cycle for
regeneration. In this study, solar energy plant for 1MVA is observed and compared with
simulations and real values. Solar power generation is related to environmental conditions
to achieve maximum power point. Temperature, wind speed, humidity and irradiation
parameters are scrutinized and sourced for artificial neural network inputs to forecast
possible energy production for daily using. As first, backward data structure is created and
filtered in case of solar power system failure. Arranged data is used to feed artificial neural
network inputs to obtain forecasted solar energy production. Artificial neural network is
widely used to solve nonlinear problems in many areas such as aerospace, construction,
medical and etc. Data structure has nonlinear characteristics and relations among the
variables effecting the output. Artificial neural network tries to find best possible solution.
Target is to find possible energy production using daily recorded data for the next day.
Proposed method finds possible energy production capability for the next day using
backward data. In order to evaluate the results, mean square error and R2 statistical
evaluation methods were used. R2 is a way to present for expected and obtained values
cover each other or not. In addition to R2, mean square error is used to evaluate system
success. In this study, artificial neural network is used to forecast short term energy
production for real 1 MVA solar plant. Obtained success is calculated as 94.2% and R2
value is 0.993.
KEYWORDS - Artificial neural network, solar energy, short term forecasting, data set,
mean absolute error, R2 validation.
Istanbul, Turkey, May 9-12, 2017
111
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON BETWEEN HORIZONTAL AND VERTICAL PARALLEL
SILICON SOLAR CELL OF A PHOTOCURRENT DENSITY UNDER
MULTISPECTRAL ILLUMINATION
GOKHAN SAHIN1
1
Igdir Universitesi, Turkey
ABSTRACT
In this work, a theoretical study of a horizontal and junction vertical parallel silicon solar
cell of a photocurrent density under multispectral illumination is presented. The
photocurrent density behavior versus modulation frequency and junction recombination
velocity is presented. The study of this photocurrent, according to the junction
recombination velocity, allows us to determine the junction recombination velocity
limiting the short circuit. The photocurrent density is studied as a function of the junction
recombination velocity for different modulation frequencies. From the variation profile of
the photocurrent density as a function of the junction recombination velocity, a technique
for determining junction recombination velocity is presented. We also pointed out the
influence of the incidence angle on the photocurrent density of the solar cell. The aim of
this paper is to make a comparison of the photocurrent produced by the horizontal junction
solar cell and those produced by junction vertical parallel solar cell. A theoretical
discussion about the junction recombination velocity and angular frequency dependence of
the conversion efficiency is also reported. I used the different data, the datas are frequency
(ω) =103rad, junction recombination velocity (Sf) =3.103cm/s, thickness of photopile in
base (H)=0.03cm, length of diffusion of excess minority carrier’s in the base
(L0)=0.0001cm, coefficient of diffusion of charge carriers in the base of the photovoltaic
cell (D0)=26cm2/s, depth in base (z)꞊0.0001cm.
KEYWORDS - Horizontal Junction Silicon Solar Cell, Vertical Parallel Junction Silicon
Solar Cell, Photocurrent density, Conversion efficiency
Istanbul, Turkey, May 9-12, 2017
112
International Conference on Advanced Technology & Sciences (ICAT’17)
FATIGUE ANALYSIS OF LANDING GEAR OF A LIGHTWEIGHT AIRPLANE
IBRAHIM GOV1, MEHMET HANIFI DOGRU1, EYUP YETER1, KURSAD
GOV1 , IBRAHIM HALIL GUZELBEY1
1
Gaziantep University, Turkey
ABSTRACT
In this study, the landing gear of a lightweight airplane is analysed to investigate fatigue
performance. For this investigation, finite element analyses (FEA) program ANSYS is
used. Landing gears are very critical structural part of the airplanes. When designing a
landing gear, static, fatigue, dynamic and aerodynamic analyses must be performed. Static
analysis is the starting point of the analysis steps. The fatigue analysis, which is second
step of the analysis, must be carried out to see long life working performance. Hence in a
previous study, the static analysis of landing gear was performed in terms of stress and
deformation. And in this study, fatigue analysis is performed in terms of fatigue life and
safety factor. Landing gear assembly is divided into two parts and these parts are analysed
separately. Most critical part is improved to increase the fatigue life value. After this
improvement, fatigue life value is increased nearly 135% and minimum safety factor value
is increased approximately 35%.
KEYWORDS - landing gear, finite element analysis, fatigue analysis, fatigue life, safety
factor
Istanbul, Turkey, May 9-12, 2017
113
International Conference on Advanced Technology & Sciences (ICAT’17)
STRESS ANALYSES OF DIFFERENT MECHANIC CONNECTION SHAPES
USED TO CONNECT COMPOSITE STRUCTURES
EYUP YETER1, KURSAD GOV1, IBRAHIM GOV1 , MEHMET HANIFI
DOGRU1 , IBRAHIM HALIL GUZELBEY1
1
Gaziantep University, Turkey
ABSTRACT
Connection of composite structures is so crucial to prevent failure of this structures. In this
study, effects of different mechanical connection shapes on the structural strength
performances have been investigated. And Glass/Epoxy composite structures are used in
this investigation. Stress, deformation, fatigue life, and safety factor distribution of the
structure, which are connected using different connection shapes, are researched.
Butterfly, T-shape, and circular shape mechanical connections are used. Since the main
aim of the study is to understand the behavior of composite structures that are connected
without any bonded surface, the connections are only connected mechanically. All
analyses are performed using commercial finite element analysis program ANSYS.
Comparisons of stress, deformation, fatigue life, and safety factor distribution of
composite plate connected with different connection shapes have been performed.
KEYWORDS - Composite structures, finite element analysis, fatigue analysis, fatigue life,
safety factor
Istanbul, Turkey, May 9-12, 2017
114
International Conference on Advanced Technology & Sciences (ICAT’17)
ENHANCEMENT OF PYROPLASTIC DEFORMATION BEHAVIOUR IN
CERAMIC SANITARYWARE FFC SLIPS
NAZIM KUNDURACI1, IREM NUR GAMZE SIMSEK1 , ENGIN KOCAMAN1
1
Bulent Ecevit University, Turkey
ABSTRACT
Ceramic sanitarywares are the products that are obtained by preparing a slurry of inorganic
ceramic raw materials such as clay, kaolin and feldspar in certain ratios, shaping by
convenient techniques and then firing at 1200–1250 °C, They have water absorption
values lower than 0.5%. The term “sanitaryware” is the general name of the glazed and
non–glazed white products such as sinks, toilets and shower stalls. There are two different
type of slips used in ceramic sanitaryware production. Vitrified slip is generally used for
production of closet group products and the fireclay slips are used for the big size and flat
sinks in which the deformation is highly important. Pyroplastic deformation is the
situation that fireclay products undergo a shape change during firing. In this study,
enhancement of pyroplastic deformation in fireclay slips and improvement of product
quality is aimed. Hence, the recipes are reformulated by increasing the chamotte amount
by considering the control of rheological properties. Water absorption, firing deformation,
semi–product strength and shrinkage values of the samples were measured. Results show
that reformulated 3 new recipes has improved deformation proportionally depending on
the chamotte amount.
KEYWORDS - pyroplastic deformation, ffc, ceramics, chamotte
Istanbul, Turkey, May 9-12, 2017
115
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND IMPLEMENTATION OF 3D VISUAL LOCALIZATION SYSTEM
FOR QUADROTORS
TOLGA YUKSEL1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
Although quadrotors can measure roll-pitch-yaw angle with on-board inertial
measurement unit, they need devices like GPS to define their locations according to
predefined reference world frame. GPS is a localization system that is available
everywhere in the world but its error for small scale unmanned air vehicles (UAVs) are far
beyond acceptable levels. Thus, a much more precise localization measurement and
feedback should be obtained for indoor applications and experimental setups of
quadrotors. Because of the reasons mentioned above, a visual localization system for
quadrotor type UAVs is designed and implemented in this study to provide tracking of
quadrotor motion in x-y-z space by processing stereo images taken from a 3D camera with
double lens. The system consists of three stages. As the first stage, the stereo camera is
calibrated and intrinsic parameters of both cameras are obtained to avoid the effects of
fisheye lenses. These parameters are used to rectify video frames obtained from stereo
camera. Then, three balls in different colors are placed on the quadrotor as 3D markers. In
the following, disparity map is generated using each pixel of each frame. This disparity
map provides depth information. Then, 3D reprojection is obtained using this map. Only
points of red-green-blue markers are taken into consideration in the obtained reprojection.
The center of the quadrotor is obtained using the centers of these markers, the center is
transformed from camera reference frame to world reference frame and 3D localization is
implemented. All the software for the proposed 3D localization system is implemented
using MATLAB Image Processing and Computer Vision Toolboxes. The experimental
results verify that the proposed system is capable of 3D localization of quadrotors for only
small 3D spaces.
KEYWORDS - quadrotor, 3D localization,stereo camera
Istanbul, Turkey, May 9-12, 2017
116
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW BROADBAND REFLECTARRAY ANTENNA WITH MODIFIED
CIRCULAR PATCH
HANDE BODUR1 , SIBEL UNALDI2 , SIBEL CIMEN1 , GONCA CAKIR1
1
Kocaeli University, Turkey; 2 Bilecik Seyh Edebali University, Turkey
ABSTRACT
This paper is composed of a novel broadband single layer reflectarray antenna design for
X-Band applications. We obtained nearly 323 degrees reflection phase range with slow
linear phase variation by using variable size of modified circular patch. A 12 x 12
unitcells, 144 elements reflectarray covers a square area 120 x 120 mm2 is designed on
0.054λ0 thin dielectric substrate (ɛr=3, h=1.524) and simulated with CST Microwave
Solver. The pyramidal horn antenna is used for illuminating the each unitcell to get main
beam in a desired direction (ϴ=0). In order to enhance the gain bandwidth of this proposed
reflectarray further, variable patch sizes are used. The simulation results demonstrate that
max gain of reflectarray antenna is 19.467 dB and it has %17 1-dB gain bandwidth
(between 9.76 GHz-11.66 GHz) and %22 3-dB gain bandwidth (between 9.53 GHz-12
GHz).
KEYWORDS - Unit cell, broadband, single layer, reflectarray antenna, pyramidal horn
antenna
Istanbul, Turkey, May 9-12, 2017
117
International Conference on Advanced Technology & Sciences (ICAT’17)
A LOW PROFILE MINIATURIZED BAND PASS FREQUENCY SELECTIVE
SURFACE WITH ANGULAR STABILITY
AYBIKE KOCAKAYA1, GONCA CAKIR1
1
Kocaeli University, Turkey
ABSTRACT
— In this paper, a novel low profile miniaturized element band-pass frequency selective
surface (FSS) is proposed. The unit cell is constructed by rotated cross dipole aperatures
on the metallic surface and it is printed on single side of dielectric substrate. The FSS is
designed on the dielectric substrate with a relative permittivity of 6.15, loss tangent 0.002
and a thickness of 0,508 mm. The dimensions of the unit cell are 3.7×3.7 mm. The passband is between 8.08GHz and 12.128 GHz under the -10 dB on the transmission curve.
Respect to 10.32 GHz center frequency, the unit cell dimension corresponds to
corresponds to 0.12λ_0where λ_0 is wavelength of free space. It is achieved a stable
transmission curve up to 45° incident angles both perpendicular (TE) and parallel (TM)
polarization. The simulations of FSS are implemented in CST MWS.
KEYWORDS - Frequency selective surface, Band-pass, Miniaturization, Angular
Stability, X band
Istanbul, Turkey, May 9-12, 2017
118
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND OPTIMIZATION OF FRACTIONAL SLOT PERMANENT
MAGNET ASSISTED SYNCHRONOUS RELUCTANCE MOTOR FOR
WASHING MACHINE
OMER FARUK PAYZA1, GAMZE ODABAS1, YASEMIN ERTUGRUL1
1
Arcelik A. S., Turkey
ABSTRACT
In general, universal motors or permanent magnet synchronous motors are used in
washing machines. In this study, different from conventional motor applications, the
fractional slot permanent magnet assisted synchronous reluctance motor is designed and
optimized for the washing machine applications. The wide speed range and the noise level
of the washing machine have to be considered as significant design criteria. The output
torque quality affects the noise level of permanent magnet assisted synchronous reluctance
motor. The parameters, which affect torque quality, are considered while designing
permanent magnet assisted synchronous reluctance motor. There are two main parameters
that affect the output torque quality. These parameters are torque ripple and cogging
torque. In this study, the optimization is made for reducing cogging torque and also torque
ripples. The optimized motor design is given and compared with initial design in this
study. The motors, used for washing machine application, must have the ability to operate
at wide speed range. The designed permanent magnet assisted synchronous reluctance
motor has the ability to operate at a wide speed range between 1000-15000 rpm. The
motor is designed by using the Flux 2D FEA software. The designed permanent magnet
assisted synchronous reluctance motor is analyzed at both no-load and under-load
conditions using Flux 2D. Optimization studies and results are given for synchronous
reluctance motor operate at wide speed ranges with low torque ripple.
KEYWORDS - Fractional-slot machine, permanent magnet (PM) motor, PM assisted
synchronous reluctance motor, torque ripple. washing machine,FEA
Istanbul, Turkey, May 9-12, 2017
119
International Conference on Advanced Technology & Sciences (ICAT’17)
POSITION CONTROL OF A BALL BEAM EXPERIMENTAL SETUP BASED ON
SLIDING MODE CONTROLLER
KAAN CAN1, ABDULLAH BASCI1
1
Ataturk University, Turkey
ABSTRACT
In this paper, a sliding mode control (SMC) method is introduced to design a control
methodology for the ball and beam experimental setup (BBS) that consists of a servo
motor, beam and ball. The proposed control method is realized in two cascaded control
structures such that primary and secondary, respectively. In the primary part, called outer
loop, the position of the ball is controlled by changing the angle of the beam. In the
secondary part, called inner loop, the needed voltage is generated to determine appropriate
position angle of the servo motor to adjust the position of the beam. Furthermore, a welltuned conventional PI controller is also applied to the system to indicate the priority and
effectiveness of the SMC. The results obtained in real-time show that SMC is better than
PI controller in the aspect of reference tracking, fast response to the changes and accuracy
as well.
KEYWORDS - Nonlinear control, sliding mode control, ball and beam system
Istanbul, Turkey, May 9-12, 2017
120
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARISON OF FRACTIONAL PI AND CLASSICAL PI CONTROLLER
BASED POSITION CONTROL OF BALL AND BEAM SYSTEM
KAAN CAN1, ABDULLAH BASCI1, BIROL SOYSAL1, ADNAN DERDIYOK2
1
Ataturk University, Turkey; 2 Sakarya University, Turkey
ABSTRACT
In this paper, fractional-order PI (FOPI) controller is used to control the ball and beam
laboratory setup (BBS). The system consists of a servo motor, beam and ball. The position
of the ball is controlled via beam’s angle. Also, to adjust beam’s position, servo motor
must be controlled through controller to generate needed angle for the beam. The aim of
the proposed controller is to track reference trajectory very well, deal with parameter
uncertainties and provide more flexibility for the nonlinear BBS. The experimental results
show that the FOPI controller gives fast response, has lower rise time, settling time and the
successes of reference position tracking when compared with classical integer-order PI
controller.
KEYWORDS - Fractional PI, ball and beam system, Nonlinear control
Istanbul, Turkey, May 9-12, 2017
121
International Conference on Advanced Technology & Sciences (ICAT’17)
MEANWHILE ANATOMY OF GASES WITH STUBBORN GAS SENSORS TO
INCREASE THE DETECTION EFFICIENCY
ALI MARDAN HAMEED QUTUB1, ISMAIL SARITAS1
1
Selcuk University, Turkey
ABSTRACT
The purpose of this material is to monitor the leakage of liquid natural gas (LPG) to
prevent incidents of fire that are an important issue. The system detects the LPG leak with
gas to report the gas leak. The system warns the system immediately if it detects that the
LPG Concentration in the air exceed a certain level.
KEYWORDS - LPG, safety feature, gas detection and prevention
Istanbul, Turkey, May 9-12, 2017
122
International Conference on Advanced Technology & Sciences (ICAT’17)
WIND GENERATION ESTIMATION BASED ON WEATHER FORECASTING IN
KIRIKKALE TURKEY
MUSTAFA YASIN ERTEN1, HUSEYIN AYDILEK1, NIHAT INANC1
1
Kirikkale University, Turkey
ABSTRACT
Increasing world population and with the transformation of human power employment
into machine power increases the energy need rapidly. Given the limited availability of
fossil-based energy sources and the harmful effects it has on the environment, wind power
is likely to be the most important source of clean energy in the near future for both Turkey
and the world. However, estimating how much power wind turbines generate is a
challenging and difficult problem due to the dependence of the wind power on
meteorological events. The increase in the share of wind turbines in the electricity grid and
the intermittent and stochastic nature of the wind power make it difficult to integrate into
the electricity grid. Estimating the speed of the wind has a vital role in terms of ensuring
the safety of wind turbines and avoiding power quality and voltage surge problems is
critical to the grid. In this study, the wind speed was estimated by using ARIMA method
and the wind speed, wind direction and wind intensity parameters were used while the
wind speed was estimated. In addition, the maximum speed used in the method is
calculated by using the extreme value theorem. The estimation of wind power has been
experimented on the data obtained through the turbine and air station located in Kirikkale
University campus area and successful results have been obtained.
KEYWORDS - Wind Speed Forecasting, ARIMA, Extreme Value Theorem, Gumbel
Distribution, Wind Power Estimation
Istanbul, Turkey, May 9-12, 2017
123
International Conference on Advanced Technology & Sciences (ICAT’17)
THE INTERACTION OF THEORETICAL COURSES WITH PRACTICALS AND
THE EFFECTS ON SUCCESS CASE OF AN ELECTRONIC LECTURE
PIRIL TEKIN1, RIZVAN EROL1
1
Cukurova University, Turkey
ABSTRACT
Electrical and electronic engineers are trained for the purpose of acquiring more
information on this energy used so commonly today and ensuring performance of all tasks
in the process by the hands of experts. The training of this department seeks to make its
students graduate with all necessary information starting from fundamentals of electricity,
to the use and operation of machinery and equipment’s. That is why the trainings and the
courses given theoretically and practically in the department are of great importance. The
students are often asked to transform the theoretical information obtained into practice in
the laboratories of the courses. Thus, a small working environment is created for the
students who are expected to simulate the problems they may encounter in real life and the
related operations/mechanism to the class environment. The electric machinery training
sets have modular design so that the students can learn and use basic electricity laws with
their measurements, learn about, design, and analyse the circuit elements through hands-on
training. Modular design of the sets made the laboratory environment resemble an
industrial implementation setting. The motors and remote control switches used in the
training sets have the same design with the models used in the industrial and daily life. In
this paper, one of the sample of electrical and electronic engineering department course
covers also many laboratory courses is analysed. Each of courses which entail different
application models and process are examined for students’ and universities point of view.
In addition, the effects of theoretical courses on practical lessons are explained by using
students’ success rate.
KEYWORDS - System Modelling, Work Flow Diagram, Electrical and Electronic
Engineering, Performance Measurement, System Analyzing
Istanbul, Turkey, May 9-12, 2017
124
International Conference on Advanced Technology & Sciences (ICAT’17)
IMAGE PROCESSING BASED WEATHER PREDICTION AND OUTDOOR
ACTIVITY DECISION FRAMEWORK WITH SUPPORT VECTOR MACHINES
HUSEYIN AYDILEK1, MUSTAFA YASIN ERTEN1, NIHAT INANC1
1
Kirikkale University, Turkey
ABSTRACT
Weather conditions have an important effect on our daily life. Even choosing clothes,
travel planning, and outdoor activities; weather forecast gives valuable information to us.
According to weather information, we can prevent many unwanted situations and plan to
our day safely. Nowadays, there are many ways to predict weather forecast. In this work, it
is developed a framework to predict weather forecast from outdoor scenes and decide
availability to outdoor activity. To analyze the weather conditions availability, a machine
learning algorithm Support Vector Machines (SVM) used as a classifier, Histogram of
Gradients (HoG) and Locally Binary Patterns (LBP) approaches are used as a descriptor
and successful results have been obtained.
KEYWORDS - Weather Prediction, Support Vector Machines, Histogram of Gradients,
Locally Binary Patterns, Image Processing
Istanbul, Turkey, May 9-12, 2017
125
International Conference on Advanced Technology & Sciences (ICAT’17)
EFFECTS OF INVERTER TOPOLOGIES AND MODULATION TECHNIQUES
ON POWER QUALITY ISSUES ON GRID CONNECTED PHOTOVOLTAIC
SYSTEMS
MEHMET CAN ALPHAN1, GURKAN SOYKAN1, LUTFI ARDA1
1
Bahcesehir University, Turkey
ABSTRACT
The usage of renewable energy resources on the power grid is increasing day by day due
to both environmental constraints and limited fossil fuels resources. The grid-connected
inverters are essential part of the renewable energy generation systems especially for a
photovoltaic power system. The photovoltaic system generates the power as DC output. In
order to supply this power to the AC power grid, the DC-AC inverter is inevitable
component in the system. Increasing the utilization of renewable energy generation
systems due to provide increasing load consumptions causes different power quality
problems at the grid connection point because of the intermittent nature of renewable
energy sources. The main power quality problems on grid-connected photovoltaic systems
are harmonics and voltage variations. In this study, effects of inverter topologies and
modulation techniques in terms of power quality issues are investigated on Matlab Simulink environment. The comprehensive analysis on the grid-connected photovoltaic
systems is achieved considering not only power quality issues but also efficiency of
inverters. Particularly, different inverter topologies have been analyzed and those
topologies have been tested with sinusoidal pulse width modulation and vector space
modulation techniques in terms of total harmonic distortion, voltage changes and
efficiency of inverters. Depending on the analysis results, the effects of inverter topologies
and modulation techniques on power quality are presented in the grid-connected
photovoltaic system.
KEYWORDS - power quality, Inverter Topologies, Modulation Techniques, Photovoltaic
cells
Istanbul, Turkey, May 9-12, 2017
126
International Conference on Advanced Technology & Sciences (ICAT’17)
ECONOMIC EVALUATION OF SOLAR PHOTOVOLTAIC SYSTEMS FOR A
SMART HOME
AHMET NUR1, ABDULCELIL BUGUTEKIN1
1
Adiyaman University, Turkey
ABSTRACT
Solar energy is the technology that finds the greatest development and application area
among the renewable energy technologies. There has been a significant increase in the use
of solar energy in recent years due to the decrease in the prices of photovoltaic panels.
Various financial incentives, including tax and production incentives are given to ensure
widespread use in many countries, especially in the European Union. Photovoltaic systems
can be used either alone or depending on the electrical grid. In this study, informations
about the components that should be used in the photovoltaic systems in a smart home
electricity are given and economic analyses are made.
KEYWORDS - Economic Evaluation, Photovoltaic Systems, Smart Home
Istanbul, Turkey, May 9-12, 2017
127
International Conference on Advanced Technology & Sciences (ICAT’17)
HISTOGRAM BASED VEHICLE LICENSE PLATE RECOGNITION WITH KNN
METHOD
SECKIN KARASU1, AYTAC ALTAN1, ZEHRA SARAC1, RIFAT HACIOGLU1
1
Bulent Ecevit University, Turkey
ABSTRACT
In this study, 35 different plate characters obtained by character segmentation algorithm
are classified by k Nearest Neighbor (KNN) method. The characters are separated from the
background of the scene by a threshold method on the gray scale image. The histogram
components of the obtained characters are examined and the features representing the
characters are calculated. The performances of classification methods for different
classifier parameters at different noise levels (20 dB, 10 dB and 5 dB) are examined. In
this study, it is seen that the overall performance is 96.67% and the performance in the
noisy environment (5 dB) is 93.81%. The performance of the KNN classifier method
under noise is investigated and compared with the vehicle license plate recognition
applications in the literature.
KEYWORDS - Image Processing, License Plate Recognition, Histogram Based, KNN
Method,Machine Learning
Istanbul, Turkey, May 9-12, 2017
128
International Conference on Advanced Technology & Sciences (ICAT’17)
ESTIMATION OF FAST VARIED WIND SPEED BASED ON NARX NEURAL
NETWORK BY USING CURVE FITTING
SECKIN KARASU1, AYTAC ALTAN1, ZEHRA SARAC1, RIFAT HACIOGLU1
1
Bulent Ecevit University, Turkey
ABSTRACT
In this study, a Nonlinear AutoRegressive eXogenous (NARX) neural network is used to
estimate the wind speed on three monthly data sets taken from the wind central in
Zonguldak province in Turkey. In the estimation study, the first and second order curve
fitting coefficients of the measured temperature, pressure, humidity and solar radiation
parameters together with the wind speed are used. In the estimation process, before these
coefficients are applied directly to the NARX network structure, the most suitable features
are selected with ReliefF method to minimize the MSE value. The number of delay steps
in the NARX network structure is varied from 3 to 15 and the number of hidden neurons is
varied from 3 to 15 to obtain model parameters that give the least estimation error. In
order to determine the performance of the obtained model, the model is evaluated in terms
of statistical error criteria such as MAE, MSE and RMSE. The model parameters and
features matrix giving the least estimation error for the wind speed estimation of the
NARX network structure are determined. It has been observed that this approach provides
a high performance for estimating the wind speed with related to other measured
parameters.
KEYWORDS - Wind Speed , Estimation, NARX, Curve Fitting, ReliefF Method
Istanbul, Turkey, May 9-12, 2017
129
International Conference on Advanced Technology & Sciences (ICAT’17)
SIMULATION OF BROKEN ROTOR BAR FAULT IN INDUCTION MOTORS
CEMIL KOZKURT1, MEHMET AKAR1
1
Gaziosmanpasa University, Turkey
ABSTRACT
Induction motors are workhorses of the industry, and it is important to detect the faults at
the beginning stage. In this proposed study a simulation software has been developed in
order for the students to better understand the rotor faults in the induction motors. Within
this interface it is possible to analyze the current/speed/electromagnetic torque signals by
operating the motor at different speeds and to detect the faults with the help of the
frequency transforms of those signals.
KEYWORDS - Induction motors, rotor fault, computer aided educational tool
Istanbul, Turkey, May 9-12, 2017
130
International Conference on Advanced Technology & Sciences (ICAT’17)
RELIABILITY ANALYSIS OF ATAKUM SAMSUN DISTRUBUTION SYSTEM
BY USING MONTE CARLO SIMULATION
FATIH DURMUS1, CAGRI KOCAMAN1
1
Ondokuz Mayis University, Turkey
ABSTRACT
Reliability in energy systems is necessary to minimize the impact of system failures on
consumers. Therefore the analysis of the reliability of an energy system is very important.
In order to be able to perform reliability analysis, it is necessary to be known frequency of
faults (λ), mean time between failures (m) and average failure elimination time (r) in the
previous working period of the system. These data can be obtained on a yearly basis by the
compilation of the fault data. Reliability analysis can be done by using the analytical
method. So mathematical model is used. However, it is difficult to solve the reliability
problems of great and complex systems analytically. The Monte Carlo Simulation, written
in Matlab programming language, makes it possible to analyze great and complex systems
easily. Internationally accepted reliability indexes (SAIDI, SAIFI, CAIDI, ASAI) are
obtained as the output data of the program. The frequency of faults (λ), mean time between
failures (m), average failure elimination time (r) and information such as consumer
number, line length, transformer number and drawed power are inputs. When the output
datas compared with the internationally accepted values, information about the reliability
of the system is obtained. In this paper, reliability analysis is performed by using Monte
Carlo Simulation by utilizing real time data in Atakum Samsun Distribution System.
SAIDI, SAIFI, CAIDI, ASAI reliability indexes are obtained and they are compared with
internationally accepted values. It is seen that this system is safe and sustainable.
KEYWORDS - Reliability, Monte Carlo Simulation, CAIDI, SAIDI, ASAI, SAIFI,
Distribution Systems
Istanbul, Turkey, May 9-12, 2017
131
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF A 400 HZ CURRENT SOURCE 1 PH INVERTER TOPOLOGY FOR
AVIONIC SYSTEMS
ERALP SENER1, GURHAN ERTASGIN1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
Inverters are widely used in aviation industry. There are ground type inverters and plane
type inverters for supplying the avionics. The inverters which are used in the planes are
called static inverters and they work at a 400hz frequency. 400hz frequency is used in aero
planes basically for reducing the size of the electronic elements. Also using a higher
frequency may require thicker and naturally heavier wiring. So 400hz is the general
frequency used in planes. There are negative effects of using high frequencies for energy
transmission The disadvantage of working at 400 Hz is that high frequency systems will
probably endure voltage drops. The most critical of these losses comes about because of
reactive losses. Reactive drops are brought on by the inductive properties of the leading
links or wires through which the electrical current is transmitted. This kind of drawback is
influenced both by the length of the conductor and in addition the frequency of the
influence coursing through it. As frequency expands, the bigger the voltage drop gets to
be. At a high frequency of 400 Hz, reactive drops can be as much as seven circumstances
bigger than at a low frequency of 60 Hz. Also reactive loads may cause PF problems for
the inverter used. PF problems can be solved easily by using a current source inverter.
Current source inverters are not widely used because of their bulky DC Link inductor.
However, the DC link inductor can be minimized thanks to the 400Hz system. Without the
bulky inductor, Current Source Inverter can be very small, stable, redundant and efficient
for the avionics. In this paper, a 400hz current source inverter with a airplane battery input
and 115V output will be simulated and presented.
KEYWORDS - 400hz, current source inverter, avionics
Istanbul, Turkey, May 9-12, 2017
132
International Conference on Advanced Technology & Sciences (ICAT’17)
DECOMPOSING LIGHTING COMPONENT OF AN IMAGE A REVIEW
UMIT CIGDEM TURHAL1, YAVUZ BUYUKKOCAK1
1
Bilecik Seyh Edebali University, Turkey
ABSTRACT
In machine vision and image processing applications, illumination differences cause lots
of problemlems that are crucial for many visual tasks. This is because, different
illuminations cause very large changes in the image. Therefore, in many applications,
illumination differences are tried to be removed. There can be found many studies, related
to removing the illumination component by decomposing it from image in the literature.
Some of these studies are related to image segmentation, extracting accurate colour of
objects, object colour changing, image watermarking, illumination transferring between
images, image enhancement, intrinsic image decomposition, illumination normalization
and etc. In this paper we tried to gather current studies relevant to decompose illumination
component of an image. Thus researchers are given the opportunity to compare and see the
differences between different methods.
KEYWORDS - Image processing, machine vision, image decomposition, illumination
component
Istanbul, Turkey, May 9-12, 2017
133
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND ACTUALISATION OF EOG BASED INTERACTIVE
COMMUNICATIONS FOR ALS PATIENTS
UGUR FIDAN1 , NESE OZKAN1 , ALI ISIK1
1
Biomedical Engineering, Turkey
ABSTRACT
Amyotrophic Lateral Sclerosis (ALS) is a motor neuron disease caused by loss of function
of the spinal cord and brain stem nerve cells. The loss of function in the nerve cells leads
to weakness and eruption (atrophy) in the muscles. This situation eliminates the movement
functions so patients need the assistance of a companion. Although there are limitations of
the movement, the consciousness levels of ALS patients are not different from healthy
individuals, and studies are carried out on the methods that will increase the daily life
quality of ALS patients. In this study, Ag / AgCl electrodes were placed around the
orbicularis oculi muscles. Electrooculogram (EOG) signals were taken from an
instrumentation amplifier with 48dB gain and 107dB CMMR ratio. A 16Hz Low Pass
Filter and a 50Hz Notch Filter were used to increase the signal to noise ratio. The EOG
signals are digitized with 10bit resolution ADC and applied to ATmega328
microcontroller. So, the software of microcontroller determines the horizontal and vertical
movements of the eye. The movement information of the eye was sent to the computer
with NRF24L01 transceiver at 2.4GHz operating frequency and 9.6Kb/s data transmission
speed. In this way, the interactive PC software was controlled by the EOG signals. An
EOG-based interactive software developed using the C # programming language has
provided patients' daily requirements, and social media accounts, etc. The system has been
tested on healthy subjects and it has been seen that people can control the software by eye
movements. As a result, system will be useful not only for ALS patients, but also for
permanent or partially bedridden patient (MS, Hemiplegia, etc.) groups. Moreover, while
the quality of life in the patients' own environment is being raised, they will also be able to
benefit from health services within the scope of home health services.
KEYWORDS - Electrooculogram (EOG), Amyotrophic Lateral Sclerosis (ALS), Atrophy,
İnteractive, Home Health Care
Istanbul, Turkey, May 9-12, 2017
134
International Conference on Advanced Technology & Sciences (ICAT’17)
EFFECT OF THICKNESS ON THE STRUCTURAL AND OPTICAL
PROPERTIES OF SILAR DEPOSITED CUS THIN FILMS
TUBA CAYIR1, YUNUS AKALTUN2
1
Koaceli University, Turkey; 2 Erzincan University, Turkey
ABSTRACT
Cupper sulfide (CuS) thin films of different thickness were prepared on glass substrates by
successive ionic layer adsorption and reaction (SILAR) method at room temperature. CuS
thin films were deposited 30, 40, 50 and 60 cycles respectively. The effect of film
thickness on characteristic parameters such as the structural, morphological and optical
properties of the films was investigated. The X-ray diffraction (XRD) and scanning
electron microscopy (SEM) studies showed that all the films exhibit polycrystalline
structure are covered well with glass substrates. The crystalline and surface properties of
the films improved with increasing film thickness. The energy band gap values were
decreased from 1.92 to 2.06 eV depending on the film thickness.
KEYWORDS - Thin Films, CuS, SILAR, XRD, SEM, AFM, RAMAN.
Istanbul, Turkey, May 9-12, 2017
135
International Conference on Advanced Technology & Sciences (ICAT’17)
BARRIER FREE DOOR FOR INDIVIDUALS WHO HAVE A PHYSICAL AND
VISUAL INSUFFICIENCY
FECIR DURAN1 , TURKAN TEKE2 , MUSTAFA TEKE3 , MEHMET GUNES3
1
Gazi University, Turkey; 2 Guidance Research Center, Turkey; 3 Cankiri Karatekin
University, Turkey
ABSTRACT
As in the past, there are a large number of disabled individuals on Earth now. The numbers
of individuals with disabilities is increasing every day due to several reasons. To simplify
the lives of individuals with disabilities, android-based Smartphone software has been
implemented to make it easier to open and close locks on the entrance doors in homes and
work areas where they live. The door control circuit which controls the door lock is also
designed to be accessibly by telephone. Android software communicates with the control
circuit on the door by the help of bluetooth. The MAC address of the mobile phone and the
MAC address of the bluetooth module on the door control circuit are matched to provide a
secure entry. After the initial installation of the software and the match is completed, the
user will be able to open the mobile phone and control the door lock by pressing the button
on the secreen. The barrier-free door entry system has been implemented for individuals
with disabilities who are unable to perform precise motoring operations that are difficult to
handle for unlocking and locking the door lock with the key.
KEYWORDS - disabled, Embedded system, Arduino Board, Bluetooth, Control
Istanbul, Turkey, May 9-12, 2017
136
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF DIFFERENTIAL RELAY APPLICATION WITH MATLAB
SIMULINK FOR PROTECTION OF TRANSFORMER IN ELECTRIC ARC
FURNACE EAF LOADS
MUSTAFA SEKER1, MURAT CIKAN1, ARIF MEMMEDOV2, SERDAR
KOCKANAT1, HULYA DOGAN1
1
Cumhuriyet University, Turkey; 2 Inonu University, Turkey
ABSTRACT
EAFs are nonlinear loads with the highest power consumption in electrical systems. In
addition to high power consumption, due to the rapidly changing nonlinear characteristic
of the EAF loads in the transmission line supply transformers, step-down transformers are
necessary to design them in accordance with the pulse operating conditions. Although
special designs are made for these transformers, these designs are sometimes insufficient
to protect the transformers. The three-phases system model of the transmission line
feeding the Sivas Iron and Steel Works CO. (SIDEMIR) plant was modeled with the help
of Matlab / Simulink. In this model, electrical arc has been determined as mathematically
by used the exponential-hyperbolic model and real time measurement data with HIOKI
3197 PQ analyzer. Because of the failure occurring in 2012, Step-Down transformer has
failed and becomes unusable. For this reason, Transformer protection system have been
developed for step-down transformer in case of failure with designed differential relay in
three phases simulation model for the transformer is not damaged in case of a similar fault
and the same problems are not experienced in similar plants to prevent damage to the
transformer in case of a similar fault. In the studies presented in the literature, differential
relays have not been evaluation of their performance in high-power nonlinear loads such
as arc furnaces. With these simulation model, the performance of the differential relay
designed to protect the transformer was evaluated by examining the variations in one
phase ground fault, phase-phase fault and three phase ground fault. Simulation results are
shown that the applied differential relay can be used to protect the Step-Down transformer
feeding the EAF loads. In addition, with this designed differential relay, the tripping times
in case of failure can also be adjusted and the tripping times can be lowered to less than 10
ms.
KEYWORDS - Electrical Arc Furnace(EAF), Nonlinear Loads, Transformer Protection,
Differential Relay.
Istanbul, Turkey, May 9-12, 2017
137
International Conference on Advanced Technology & Sciences (ICAT’17)
SYNCHRONIZATION OF THE CHAOTIC SYSTEM WITH GOLDEN
PROPORTION EQUILIBRIA ACTIVE CONTROL VERSUS SLIDING MODE
CONTROL
YILMAZ UYAROGLU1, UGUR ERKIN KOCAMAZ2
1
Sakarya University, Turkey; 2 Uludag University, Turkey
ABSTRACT
In this study, the synchronization of the chaotic system with golden proportion equilibria
is investigated by using active control and sliding mode control methods. A Lyapunov
function is used for achieving the active controllers ensure the global asymptotic stability
of the error system. An appropriate sliding surface is designed on the basis of the sliding
mode control theory. Numerical simulations are demonstrated to present the
synchronization performances. In all cases the synchronization is obtained in a proper
amount of time. However, the active control approach gives more efficient results.
KEYWORDS - Chaos synchronization, Golden proportion equilibria, Active control,
Sliding mode control
Istanbul, Turkey, May 9-12, 2017
138
International Conference on Advanced Technology & Sciences (ICAT’17)
LYAPUNOV BASED NONLINEAR CONTROL OF THE LOTKA VOLTERRA
SYSTEM WITH FOUR COMPETITIVE SPECIES
GULTEKIN CAGIL1, UGUR ERKIN KOCAMAZ2, YILMAZ UYAROGLU1
1
Sakarya University, Turkey; 2 Uludag University, Turkey
ABSTRACT
In this paper, the control of four-dimensional predator-prey Lotka–Volterra system is
investigated. The Lotka–Volterra system with four competitive species is briefly
described, its equations are presented and hyperchaotic figures are shown. Based on the
Lyapunov stability theory, the appropriate nonlinear control signals are obtained for the
control. Simulation results are demonstrated to validate the feasibility of the proposed
control technique. Numerical simulations also show that the controlled Lotka–Volterra
system effectively stabilizes towards its equilibrium points in the state space.
KEYWORDS - Lotka–Volterra system, Four competitive species, Predator-prey model,
Nonlinear control, Hyperchaos control
Istanbul, Turkey, May 9-12, 2017
139
International Conference on Advanced Technology & Sciences (ICAT’17)
MULTIPLE TARGET TRACKING SIMULATION AT AN INTERSECTION
AYKUT GORKEM GELEN1, AYTEN ATASOY1
1
Karadeniz Technical University, Turkey
ABSTRACT
In this study, multiple target tracking problem is investigated for vehicles at an
intersection. Collecting data for this problem is expensive and time consuming. At this
point, simulation is a very powerful tool. The target data can be generated by means of
simulation with system models under some assumptions. By destroying some
measurements as missing measurements and adding modeled extra clutter measurements,
the measurement data can be obtained. Then, a feasible tracker can be developed for this
problem. This tracker will probably work smoothly with real data. In this paper, the aim
was to study maneuvering target tracking by simulated motion data of multiple vehicles on
an intersection. Different situations such as straight acceleration, turning and waiting at the
traffic lights have been considered. Simulated vehicles are tracked by a tracking algorithm
that combines Interacting Multiple Model for maneuvers and Global Nearest Neighbor
Filter for data association. A tracker is successfully developed for this problem by using
those algorithms.
KEYWORDS - Multiple Target Tracking, Traffic Tracking, Interacting Multiple Model,
Global Nearest Neighbor Filter, Intersection Tracking
Istanbul, Turkey, May 9-12, 2017
140
International Conference on Advanced Technology & Sciences (ICAT’17)
APPLICATION OF MULTI AGENT SYSTEMS IN MICROGRID CONTROL
ZIYODULLA YUSUPOV1, ANIS AMHARIB1, NURI ALMARGANI1
1
Karabuk University, Turkey
ABSTRACT
Last decades with the rapidly penetration of distributed energy resources to the power
system, the interest on microgrid is growing. Microgrids as a key component of smart grid
are intended to improve energy efficiency, reliability of power system and decrease carbon
dioxide emissions. In recent year multi-agent systems as a branch of distributed artificial
intelligence method have been employed in the several areas of power systems, such as
electric grid control and protection, monitoring and optimization of distributed systems,
power system restoration. In this paper considered application of multi-agent systems in
microgrid control.
KEYWORDS -
Istanbul, Turkey, May 9-12, 2017
141
International Conference on Advanced Technology & Sciences (ICAT’17)
DEMAND SIDE MANAGEMENT APPLICATION FOR THE KIRIKKALE
UNIVERSITY TURKEY
ERTUGRUL CAM1, VOLKAN ATES1, AYSEGUL AKSAKAL1, YAGMUR ARIKAN1
1
Kirikkale University, Turkey
ABSTRACT
Today, as energy generation has become important as well as the consumption of energy,
many studies have been conducted on consumer habits. One of these studies is Demand
Side Management (DSM). First, energy consumption of a load center has been monitored
by DSM equipment and software, various decisions are made about consumption hours
and / or consumption devices. In this study, consumption curves were obtained from 3
different transformers which have energy analysers in Kırıkkale University Engineering
Faculty. The curves were entered to the Fuzzy Logic (FL) system which was realized on
MATLAB for meaning and clustering. Outputs of the FL system was then entered the
model of Artificial Neural Networks, realized in MATLAB, to analyse the state of energy
consumption of the faculty. Thus, the relationship between the energy consumption of the
faculty and the curriculum was analysed and suggestions were made to reduce or control
of consumption. The results show that the system's success is more than 70% and the
energy consumption of the faculty was also reduced with the proposed DSM system.
KEYWORDS - Demand side management, Fuzzy Logic, Artificial Neural Networks,
Energy saving.
Istanbul, Turkey, May 9-12, 2017
142
International Conference on Advanced Technology & Sciences (ICAT’17)
INVESTIGATION OF CURRENT AND VOLTAGE FLUCTUATIONS IN
ELECTRIC ARC FURNACES WITH THE HELP OF PROBABILITY THEORY
MUSTAFA SEKER1, ARIF MEMMEDOV2, MURAT CIKAN1, HULYA
DOGAN1, SERDAR KOCKANAT1
1
Cumhuriyet University, Turkey; 2 Inonu University, Turkey
ABSTRACT
Electric Arc Furnaces (EAF) are non-linear loads which have the greatest power, cause
electric power quality problems in electrical networks. Due to the nonlinear nature of the
electric arc furnace, they are characterized by rapid changes in the current and owing to
these rapid changes, the voltage and frequency are also variable. Determination of the
Mathematical modeling of this variability is very difficult. Analysis of stochastic processes
with probability methods are allowed that essential information to be indicate with a small
number of characteristics separately about physical phenomena using experimental data
without considering their physical process. These characteristics have been arbitrary load
variation and allow analysis of EAF loads. In this study, Power quality problems of
Electrical Arc Furnace power which have 60 MVA power at the Sivas Iron and Steel
Company (SIDEMIR) facility were recorded with the help of the 8332B power quality
analyzer. Using obtained experimental data, the propagation of current fluctuations is
determined by the probability theory with the determination of the statistical and
correlation function of current and voltage in the melting processes of electric arc
furnaces. The results show that determination dispersion of current fluctuations of electric
arc furnaces for whole boundary value limits in EAF which gets its maximum value of
current,heat and efficiency will provide when its optimized value are chosen.Probability
results are shown that nominal high voltage short circuit current can reach 2.12 times the
nominal current. This rate must be taken into account for transformer protection.
KEYWORDS - Probability Theory, Power Quality, Electric arc furnace, current and
voltage fluctuations
Istanbul, Turkey, May 9-12, 2017
143
International Conference on Advanced Technology & Sciences (ICAT’17)
SERIAL IN PARALLEL OUT DISCRETE FOURIER TRANSFORM
EROL SEKE1, ZEYNEP KAYA2
1
Eskisehir Osmangazi University, Turkey; 2 Bilecik Seyh Edebali University, Turkey
ABSTRACT
Discrete Fourier Transform (DFT) and its fast implementations (FFT) have wide use in
signal processing applications. As the requirements of the applications change, DFT
implementations evolved accordingly to meet them. This paper presents a serial-data-inparallel-coefficients-out approach where input data is a stream and transform results are
generated all in parallel fashion. Such an implementation may find use in spectrum
analysis applications. One may argue that employing a serial-to-parallel converter
structure at the input of a parallel-to-parallel algorithm would solve the problem with a
small price. On the other hand, when the data is presented in a stream, FFT buildingblocks (butterflies) become redundant and their utilization is very low. There exists a
number of serial-to-serial (pipelining) FFT implementations with high hardware
utilization, but they output transform data in serial form. We solved serial-to-parallel
problem within FFT structure by eliminating redundant butterflies and switching
intermediate data to registers, generating output data in parallel with some latency which is
lower than that of pipelining implementations.
KEYWORDS - DFT, FFT, Fourier Transform, Embedded Processing, pipeline FFT
Istanbul, Turkey, May 9-12, 2017
144
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF X BAND SINGLE LAYER REFLECTARRAY WITH NOVEL
ELEMENT
SIBEL UNALDI1, HANDE BODUR2, SIBEL CIMEN2, GONCA CAKIR2
1
Bilecik Seyh Edebali University, Turkey; 2 Kocaeli University, Turkey
ABSTRACT
This paper presents a novel single-layer reflectarray with rotational element. A X band
reflectarray designed and simulated by using CST Microwave Solver. The designed unit
cell structure of the reflectarray provides more than 420 degrees reflection phase range. A
9 x 9 element reflectarray antenna covers 126 x 126 mm2 square plane. Linearly polarized
pyramidal horn antenna is used for centre-fed configuration. The simulation results show
that 3-dB gain bandwidth of 27 % and 1.5 - dB gain bandwidth of 16 % and 18.7 dB max
gain level are achieved at X band.
KEYWORDS - Reflectarray, X band, wide phase range, microstrip, single layer
Istanbul, Turkey, May 9-12, 2017
145
International Conference on Advanced Technology & Sciences (ICAT’17)
TIME RESOLVED FLUORESCENCE TECHNIQUE FOR STUDYING
SWELLING PROCESS IN HYDROGELS
DEMET KAYA AKTAS1, FILIZ OZTEKIN1
1
Istanbul Technical University, Turkey
ABSTRACT
Fast Transient fluorescence (FTRF) spectrometer was employed during the swelling of
polyacrylamide (PAAm) hydrogels in water. Disc-shaped acrylamide gels were prepared
from acrylamide (AAm) with various N, N’ methylenebis (acrylamide) (Bis) contents as
crosslinker in the presence of ammonium persulfate (APS) as an initiator by free-radical
crosslinking copolymerization (FCC) in water. Polyacrylamide (PAAm) gels dried before
using for swelling experiments. Pyrene was introduced as a fluorescence probe.
Fluorescence lifetime of pyrene from various BIS content gel samples was measured
during in situ swelling process. It was observed that fluorescence lifetime decreased as
swelling has proceeded. Gravimetrical and volumetrical experiments were also performed.
Li-Tanaka equation was used to determine the swelling time constants, T and cooperative
diffusion coefficients, Dc from intensity, weight and volume variations during the swelling
processes. It was observed that swelling time constants, T increased and diffusion
coefficients, Dc decreased as the crosslinker content was increased. We also developed a
computer programme for the calculation of cooperative diffusion coefficient, Dc
automatically for any choosen BIS content, based on the experimental outcomes.
KEYWORDS - hydrogels, swelling, fluorescence, diffusion
Istanbul, Turkey, May 9-12, 2017
146
International Conference on Advanced Technology & Sciences (ICAT’17)
BACKGROUND SUBTRACTION TECHNIQUES TO DETECT HUMAN VITAL
SIGNS USING UWB GPR
CANSU BUYUKHAN1, SAEID KARAMZADEH2, ALPER CALISKAN3, MELEK
ORHAN1, INCI CILESIZ1
1
Istanbul Technical University, Turkey; 2 Istanbul Aydin University, Turkey; 3 Yildiz
Technical University, Turkey
ABSTRACT
In this work, Ultra-wide band Ground Penetrating Radar system is purposed for detection
of human respiratory movement through obstacle. As background subtraction methods,
Principal Component Analysis, Singular Value Decomposition and Frame Differencing
Techniques are applied for reducing clutter effect. After background subtraction, human
breathing is detected by using Fast Fourier Transform and results of all steps will be
presented.
KEYWORDS - Ground Penetrating Radar; Background Subtraction Tecniques; Ultra-wide
Band; radar signal processing
Istanbul, Turkey, May 9-12, 2017
147
International Conference on Advanced Technology & Sciences (ICAT’17)
DETECTION OF LESION BOUNDARIES IN BREAST MAGNETIC
RESONANCE IMAGING WITH OTSU THRESHOLDING AND FUZZY C
MEANS
GOKCEN CETINEL1, SEVDA GUL1
1
Sakarya University, Turkey
ABSTRACT
Abstract— Today, breast cancer is among the leading causes of mortality for women. So,
there is a great number of investigations about screening, diagnosing and treating the
breast cancer. Among these studies, determining the boundaries of lesion is of great
importance for radiologists. Automatic detection of small lesions that can’t be detected
with the naked eye and marking the borders of lesions provide supportive information to
the radiologists in the diagnosis and treatment process of cancer. In this study, it is aimed
to determine the boundaries of lesions using Otsu thresholding and Fuzzy c-means (FCM)
methods in breast magnetic resonance (MR) images taken after contrast agent uptake. As a
measure of success, the overlap between the lesion boundaries obtained by manual
segmentation and automatic segmentation is used. In the first experiment, % 87 success
was achieved by applying the Otsu thresholding method. Furthermore, in the second
experiment FCM method which is widely used for similar purposes in the literature, is
utilized. The performance measure for this method is obtained as % 91. According to the
comparative simulation results the performance attained by adjusting the number of
clusters in the FCM method are very close to the results obtained by manual segmentation.
KEYWORDS - Keywords— Lesion Segmentation, Breast MRI, Otsu thresholding, FCM
Istanbul, Turkey, May 9-12, 2017
148
International Conference on Advanced Technology & Sciences (ICAT’17)
PERFORMANCE COMPARISON OF REGULAR AND IRREGULAR PILOT
PLACEMENTS IN OFDM SYTEMS
CETIN KURNAZ1, BEGUM KORUNUR ENGIZ1, FATIH AYVENLI1
1
Ondokuz Mayis University, Turkey
ABSTRACT
In this study, the effect of the positions of the pilots on the Bit Error Rate (BER)
performance is investigated for ITU Indoor Office, Pedestrian-A, and Vehicular-A
channels. BPSK modulation scheme, 1024 subcarriers, 512 OFDM symbols, Nc/4 cycling
extended guard interval, 100 MHz transmission bandwidth were used in simulations. The
pilot separation was varied from 4th, 8th, 16th for regular placement, while the number
and the positions of pilots determined according to local maxima and minima of the
channels’ transfer function for irregular placement. Channels state information was
obtained through linear regression for all placements. The loss in Signal to Noise ratio
(SNR) due to pilot symbol usage was considered while assessing the BER performances. It
is seen from the results that, irregular pilot placement shows similar or better performance
with regular placement considering both BER and bandwidth efficiency. With the use of
irregular pilot placement bandwidth efficiency can be improved up to 99%.
KEYWORDS - OFDM; Channel estimation; Regular/Irregular pilot placement; Frequency
selective channel.
Istanbul, Turkey, May 9-12, 2017
149
International Conference on Advanced Technology & Sciences (ICAT’17)
AN AUTOMATIC SYSTEM FOR SEGMENTATION OF AGGREGATE AND
BITUMEN IN ASPHALT CONCRETE IMAGES
ONDER CIVELEK1, MEHMET OZTURK1
1
Karadeniz Technical University, Turkey
ABSTRACT
Along with the rapid development of computers today, digital image analysis has begun to
be widely used in many areas. Difficult and time-consuming tasks for people can now be
accomplished quickly and precisely with digital image processing techniques and
computer vision applications. In this study, a system was developed to classify structures
such as bitumen and aggregate in asphalt concrete materials with the help of digital image
processing techniques. First, images of asphalt material samples were obtained under
controlled lighting conditions with a standard RGB camera. Imaging process was realized
in a closed environment that blocks the ambient light and has its own lighting system. The
RGB images are converted to grayscale with a set of special conversion coefficients. The
coefficients required for this transformation are calculated with utilizing the Particle
Swarm optimization algorithm under a condition that the average contrast level between
bitumen and aggregate is maximized. Then, the aggregate and the bitumen are segmented
by a simple thresholding algorithm from the gray level images obtained as a result of this
conversion. The threshold level required for the segmentation is calculated by the Otsu
algorithm. Obtained classification results are encouraging such that the accuracy,
sensitivity, and specificity values are over 90%, 70%, and 90%, respectively.
KEYWORDS - Aggregate, Bitumen, Segmentation, PSO, Otsu, Thresholding
Istanbul, Turkey, May 9-12, 2017
150
International Conference on Advanced Technology & Sciences (ICAT’17)
A WIRED SENSOR NETWORK FOR THE PURPOSE OF MULTI DETECTION
SYSTEMS
AYHAN YAZGAN1, OGUZHAN CAKIR1, HUSEYIN ATASOY1
1
Karadeniz Technical University, Turkey
ABSTRACT
In this study, a wired sensor network and a current based coding algorithm is presented.
Proposed structure composed of fire and gas sensor boards with a base controller who
address and read all sensors in a very short time. Every sensor board has a predefined
address and therefore in case of a fire or gas leak, proposed system reacts automatically
and sends the necessary signals to both near the operation area and remote unit by the base
station.
KEYWORDS - fire sensor, gas sensor, wired sensor network
Istanbul, Turkey, May 9-12, 2017
151
International Conference on Advanced Technology & Sciences (ICAT’17)
CURRENT VOLTAGE CURVE PREDICTION OF ANNEALED NI N GAAS SI IN
SCHOTTKY BARRIER DIODE USING ANFIS
SERDAR KOCKANAT1, HULYA DOGAN1, YAVUZ TURKAY1, MUSTAFA
SEKER1, DERYA BETUL UNSAL CELIMLI1, MURAT CIKAN1
1
Cumhuriyet University, Turkey
ABSTRACT
Measurement of the current-voltage characteristic of Schottky barrier diode under various
annealing temperature like as 200 C and 600 C requires intensive labor and it is costly
procedure. Thus, this paper proposed a method of using an adaptive-network-based fuzzy
inference system (ANFIS) to model and predict current-voltage curve of Schottky barrier
diodes (SBDs) for thermal annealing process. The Ni/n-GaAs/In Schottky barrier diodes
was produced in the laboratory and the current-voltage characteristic of the Schottky diode
were measured from 200 C to 600 C with steps of 100 C. In this approach, ANFIS model
includes three input parameters. These parameters are temperature, voltage and current
and they were used for training of the ANFIS model. A hybrid grid partitioning ANFIS by
Generalized Bell membership function was employed for the training of the experimental
data. The current-voltage data from 200 C to 500 C were used to train ANFIS model. In
order to test the accuracy of the ANFIS model, estimated and experimental current-voltage
data for 600 C were graphically compared. Also, from scatter diagram, the fitting curve of
the data is y=0,995x-0,091, so the rate of slope and intercept are very close to one and
zero. That is to say, the predicted values are very near to the experimental values. The
results shows that the ANFIS model is an efficient model and can be used to predict for
current-voltage curve of the Schottky barrier diode for different annealing temperature.
Acknowledgement: This work was supported by Scientific Research Projects Coordination
Unit of the Cumhuriyet University (CUBAP) (Project Number: M-649). Corresponding
Author: Hülya Dogan ([email protected])
KEYWORDS - ANFIS, schottky barrier diode, thermal annealing, artificial bee colony
Istanbul, Turkey, May 9-12, 2017
152
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND SIMULATION OF MINIATURE MICROSTRIP ANTENNA USING
CIRCULAR MUSHROOM EBG STRUCTURE FOR WLAN PAN APPLICATION
BELABBAS KHEDEDJA1, KHEDROUCHE DJAMEL1, HOCINI
ABDESSELAM1, BOUGOUTAIA TAHAR1
1
Universite De M Sila, Algeria
ABSTRACT
The popularity of personal wireless communication devices has grown extremely and it
requires a very low profile and efficiency. The microstrip patch antenna achieves this
requirement, but the main problem of these antennas is how to design a miniature antenna
for wireless communication with high quality service. For this aim, the artificial materials;
such as metamaterials and electromagnetic band gap (EBG) structures, are used to design
and fabricated a miniature microstrip antenna with high performances. In this work, a
microstrip patch antenna printed on FR4-Epoxy dielectric and excited by a probe feed is
designed and simulated in the first part. Secondly we applied a circular mushroom-EBG
structure on the dielectric substrate of this antenna, which contributed to obtain a much
miniaturized antenna, (the size of the antenna decreased intensively about 60%). The
comparison between the microstrip antenna with and without EBG structure is made on
the basis of different characteristics, such as bandwidth, return loss and the size. Due to
presence of EBG structure in the dielectric substrate, the electromagnetic band gap form
that reduced the surface waves and increases the overall dielectric constant. As a result an
improved band width antenna, better impedance matching and reduced size are achieved.
KEYWORDS - artificial materials, micrstrip patch antenna, EBG structure,
miniaturization, band width
Istanbul, Turkey, May 9-12, 2017
153
International Conference on Advanced Technology & Sciences (ICAT’17)
RAPID PROTOTYPING LOW COST SOLAR SIMULATOR FROM OF THE
SELF COMPONENTS
LUTFI ARDA1, M C ALPHAN1, D AKCAN1, ALI GUNGOR1
1
Bahcesehir University, Turkey
ABSTRACT
This paper proposes a configuration of a low cost solar simulator for basic PV studies.
Solar simulator utilizes tungsten halogen lamp as light source and laboratory bench power
supply and DMM for I-V characterization system. Light intensity controllable by means of
input power of tungsten lamp or utilized Fresnel lens assembly. The solar simulator
capable of generating 100W/m2 of irradiation with exceeding expectations of BAA class
solar simulator without employing any spectral correction technique. Uniformity of
irradiance and spectra of light source mapped with developed prototype hardware and
software. Spectral uniformity measurements carried out at multiple point in range of
200nm -1000nm with alongside the total irradiance measurement. To test the capability of
proposed solar simulator a case study designed for characterization of quantum dot solar
cells.
KEYWORDS - Solar Simulator, I-V measurement, characterization
Istanbul, Turkey, May 9-12, 2017
154
International Conference on Advanced Technology & Sciences (ICAT’17)
PID TYPE STR BASED ON SVR FOR NONLINEAR SYSTEMS
KEMAL UCAK1, GULAY OKE GUNEL2
1
Mugla Sitki Kocman University, Turkey; 2 Istanbul Technical University, Turkey
ABSTRACT
Generalized self-tuning regulator (STR) based on support vector regression (SVR) which
was previously proposed in [1] is used with a PID controller in the STR block to control a
continuously stirred tank reactor (CSTR) system. Two separate SVR blocks are utilized to
tune PID controller parameters and estimate the system model. Simulation results are
presented to assess the performance of the controller.
KEYWORDS - Adaptive Control, PID Type STR, Self-Tuning Regulators, Support Vector
Regression, System Identification
Istanbul, Turkey, May 9-12, 2017
155
International Conference on Advanced Technology & Sciences (ICAT’17)
THE EFFECT OF DISTURBANCES ON GRID TIED POWER CONVERTERS
AND DSOGI BASED POWER CONTROLLER SOLUTION
DOGAN CELIK1, M EMIN MERAL1
1
Yuzuncu Yil University Van, Turkey
ABSTRACT
The grid disturbances have various impact on control of power converter devices
interfaced with hybrid renewable energy sources (HRES) such as solar cell, fuel cell and
wind turbine. Control is one of significant parameter for the deployment of renewable
energy systems. The various control strategies are implemented for the HRES applications
under unbalanced conditions in the literature. The grid disturbances lead to power quality
problems such as voltage sag/swell, voltage unbalanced and fluctuations, long interruption
and harmonics. In this paper, proportional resonant (PR) based power controller is applied
to the solar power system and dual second order generalized integrator-phase locked loop
(DSOGI-PLL) based power controller (PR controller) in stationary reference frame
provides solutions to overcome these problems. The PR controller based on DSOGI-PLL
is examined and analysed under various cases such as unbalanced grid voltage, phase
faults conditions. The effectiveness and correctness of the controller is tested and verified
by using PSCAD/EMTDC software package.
KEYWORDS - Renewable Energy Sources, PR controller, Phase Locked Loop, DSOGI,
Grid Disturbances, Power Quality
Istanbul, Turkey, May 9-12, 2017
156
International Conference on Advanced Technology & Sciences (ICAT’17)
PREVENTIVE PROPERTIES OF METAL COMPOSITE FABRICS AGAINST
ELECTROMAGNETIC RADIATION
RUSLAN ABDULLA1
1
Karabuk University, Turkey
ABSTRACT
The physical properties of the metal blended composite fabrics contribute to the deduction
of how preventive the fabric is, against electromagnetic radiation. Likewise, the metal
contained in fabric texture behaves differently under the exposure of electromagnetic field.
Accordingly, the metal type and the incident frequency, fabric type and its geometry,
thickness, density has been analyzed along with the correlations among themselves.
Shielding measuring techniques were specified in accordance of feasibility, stability and
reliability. The factors effecting the shielding and the accuracy of measurement methods
were revealed in brief expressions.
KEYWORDS - Electromagnetic radiation, shielding, composite fabric, preventive
properties, measurement techniques
Istanbul, Turkey, May 9-12, 2017
157
International Conference on Advanced Technology & Sciences (ICAT’17)
AN EXPERIMENTAL COMPARISON AND PERFORMANCE ASSESSMENT OF
NONLINEAR CONTROL TECHNIQUES FOR AN INDUSTRIAL AIR HEATING
SYSTEM
NECDET SINAN OZBEK1, ILYAS EKER1
1
Cukurova University, Turkey
ABSTRACT
In this study, a set of nonlinear control technique has been instigated experimentally.
Different structures of sliding mode control technique is compared experimentally, further
backstepping control strategy is designed and tested in real-time. The control schemes
have been successfully applied to a time-delay air heating process. The contributions of
this paper are; i) describing a set of nonlinear control techniques, ii) analysing the effect of
the delay approximation technique on nonlinear controller, iii) determining the advantages
and drawbacks of the proposed feedback strategy according to control effort and a number
of performance metrics, iv) conducting an experimental implementation to demonstrate
the effectiveness and validity of the elaborated control methods. A comprehensive
performance evaluation is demonstrated via results of real-time experimental applications
through a set of performance indices. Particular attention is paid to the tracking precision,
quality of the transient response, robustness against disturbances and energy efficiency of
the each control strategy with respect to some performance criteria such as integral
absolute error (IAE), integral squared error (ISE), maximum absolute error (MAE), error
variance (EV), integral time squared error (ITSE), and integral squared control input
(ISCI). Moreover, complementary comments are highlighted on the advantages and
drawbacks of each control structure. Due to the popularity of the problem, contribution of
the current study is to provide an in-depth guide to the control designers of nonlinear
systems.
KEYWORDS - Time Delay Systems, Sliding mode control, Backstepping control, Realtime experiment, nonlinear systems
Istanbul, Turkey, May 9-12, 2017
158
International Conference on Advanced Technology & Sciences (ICAT’17)
THD COMPARISON OF VENTURINI AND SVM ALGORITHMS OF MATRIX
CONVERTERS FOR VARYING SWITCHING FREQUENCY
TOLGA SEN1, ATA SEVINC1
1
Kirikkale University, Turkey
ABSTRACT
In this research, total harmonic distortions (THDs) of matrix converters (MCs) are
compared as a function of switching frequency for Optimum Venturini and space vector
modulation (SVM) algorithms. The purpose is to determine a small change in the desired
switching frequency yielding a lower THD. In the simulations, the load fed by the MC
consists of a resistor and an inductive reactance. For a fair comparison with constant
current amplitude, the reactance is chosen constant. Each simulation is carried on changing
the switching frequency with a small step through a wide frequency range. It is discovered
that the SVM method usually ends up with less THDs at irregular switching frequencies
whilst the Optimum Venturini method yields less THDs at regular steps in the switching
frequency. Therefore the Optimum Venturini method can be safely preferred for lower
THDs as described here.
KEYWORDS - AC-AC power conversion, matrix converter, total harmonic distortion,
Venturini algorithm, SVM algorithm
Istanbul, Turkey, May 9-12, 2017
159
International Conference on Advanced Technology & Sciences (ICAT’17)
GENETIC ALGORITHM BASED FUZZY LOGIC SYSTEM FOR SHORT TERM
LOAD FORECASTING
MURAT LUY1, VOLKAN ATES1, NECAATTIN BARISCI1, ERTUGRUL CAM1
1
Kirikkale University, Turkey
ABSTRACT
Because of the rising energy prices and the fact that the energy generation-consumption
balance is important, a lot of work has been done on forecasting of electrical load. In this
study, in parallel, load estimation was studied. For this purpose, a Genetic Algorithm
based Fuzzy Logic (GA-FL) system for load estimation was modelled by considering
meteorological and calendar effects. Thus, Turkey's short-term electrical load requirement
was tried to be determined. In the model, GA optimization approach was used to
determine the most appropriate rule base for increasing the stability of the FL model. In
the training and test phases of the proposed model, hourly air temperature and electrical
consumption data for the years 2011-2013 were used. The results were shown that naturalinspired optimization models, such as genetic algorithms, have an effect on, and even
increase, predictability and accuracy in such systems.
KEYWORDS - Short-Term Load Forecasting, Fuzzy Logic, Genatic Algorithm
Istanbul, Turkey, May 9-12, 2017
160
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND MOTION EQUATIONS OF A ROBOT DEVELOPED FOR USE IN
LAPAROSCOPIC SURGERY
SERHAT AKSUNGUR1, OGUZ YAKUT2
1
Inonu University, Turkey; 2 Firat University, Turkey
ABSTRACT
Nowadays, robot technology is improved high and its usage is widespread. Robots that
have been encountered in many sectors have also been used in surgical operations in
recent years. RCM (Remote Center of Motion) mechanisms that occupy less space and are
relatively more functional, take the place of these robots. In this study, RCM mechanisms
used in surgical operations will be mentioned. In this context, a original surgical robot
design and motion equations which are not in the literature belongs to surgical robots will
be described. All parts of the designed robot and the solid model assembly of the robot
have been created with 3D design program. Motion equations have been obtained by
Lagrange mechanics using kinematic equations of robot.
KEYWORDS - Surgical robots, RCM mechanisms, Lagrange motion equations,
Laparoscopic surgery
Istanbul, Turkey, May 9-12, 2017
161
International Conference on Advanced Technology & Sciences (ICAT’17)
INDUCTANCE AND LOSS BEHAVIORS OF MEDIUM FREQUENCY HIGH
POWER GAPPED CORE INDUCTORS
SELAMI BALCI1, M BAHA BAYRAM1, NECMI ALTIN2, IBRAHIM SEFA2
1
Meb, Turkey; 2 Gazi University, Turkey
ABSTRACT
Three phase power factor correction (PFC) circuits consist of an inductor on each phase,
which is a key component of the design. When the design power reaches hundreds of kW
then the core material selection will be more important. Gapped-core structure is the key
to provide inductance stability when the inductor is designed with alloy core materials.
Besides the total air gap length, determining the number of gaps is also important to fulfil
the requirement of minimizing the fringing effects caused by the two or multiple
(distributed) air gaps. In this study, the losses and the inductance variation of the PFC
inductor designed at a certain power and inductance values are analyzed comparatively
with respect to different gapped-core structures. Different inductor models have been
developed with different air gap configurations and electromagnetic modelling and
analysis of them have been performed with the finite element analysis software, and the
obtained simulation results have been reported. It is seen from the simulation results that
distributed air-gap provides better results in terms of inductance stability, roll-off values
and total power losses.
KEYWORDS - Inductor design, FEA, gapped-core, inductance stability, co-simulation.
Istanbul, Turkey, May 9-12, 2017
162
International Conference on Advanced Technology & Sciences (ICAT’17)
PARTIAL GAIN INCREASE AT DESIRED FREQUENCY RANGE FOR UWB
MICROSTRIP ANTENNAS USING BAND STOP FSS
KOMRON HOTAMI1, CENGIZHAN MUSTAFA DIKMEN1, GONCA
CAKIR1, AYBIKE KOCAKAYA1, SIBEL CIMEN1
1
Kocaeli University, Turkey
ABSTRACT
Many studies have been done on gain enhancement in ultra-wideband (UWB) microstrip
antennas. Microstrip antennas are preferred in many applications because of their small
size, easy production and low cost, but they have low gain characteristics. Various
techniques are used to increase gain in UWB microstrip antennas. Some of them are
concentrated on attaching a reflective metal layer, frequency selective surface behind the
antenna, and directive structures in front of the antenna. With these techniques, the gain
can be increased, but high gain cannot be obtained along the radiation frequency band, and
the gain at low frequencies will be low. In some applications where UWB antennas are
used (e.g., underground imaging radars), constant gain is desired over the frequency band.
Therefore, instead of increasing the gain at whole band, gain enhancement at frequency
intervals where the gain is low is more appropriate. In order to achieve the aim, band-stop
Frequency Selective Surface (FSS) structures that operate at the frequency range at which
we want to increase the gain of the antenna can be used. In this study, as a first step, UWB
microstrip antenna is designed to operate in the frequency range of 3.1-10.6 GHz. Then, to
show the partial gain increase using FSS, a higher order band-stop FSS structure operating
at 8-12 GHz band is designed and located to the antenna. Finally, a partial gain increase
using high-order FSS is obtained.
KEYWORDS - FSS, UWB Antenna, Microstrip Antenna
Istanbul, Turkey, May 9-12, 2017
163
International Conference on Advanced Technology & Sciences (ICAT’17)
FRACTIONAL ORDER DISCRETE TIME MODEL ORDER REDUCTION
BASED ON SVD APPROACH
KARIMA GHARBI1, DAOUD BERKANI1
1
Ecole Nationale Polytechnique D Alger, Algeria
ABSTRACT
This paper deal with the approximation of linear discrete-time invariant (L.T.I) fractional
order system. The presented method is based on the left and right eigen spaces and the
Schur decomposition of the expanded state space matrices of the original fractional order
system. The advantage of our method is the fact that it operates in the general case, i.e. for
the minimal and non-minimal systems. A simulation on fractional order systems is given
which proves that the reduced order models are always stable, and faithfully follow the
initial model in the time and the frequency domains.
KEYWORDS - Fractional order systems, Model order reduction, State space matrices
expansion, Hankel singular values, singular values decomposition (SVD), Schur
decomposition, controllability and observability gramians
Istanbul, Turkey, May 9-12, 2017
164
International Conference on Advanced Technology & Sciences (ICAT’17)
ADAPTIVE CRUISE CONTROL SYSTEM FOR ELECTRIC VEHICLES USING
FUZZY LOGIC
FATIH KARAGOZ1 , MUZEYYEN SARITAS2
1
Ministry of Science Industry and Technology, Turkey; 2 Gazi University, Turkey
ABSTRACT
In this study, an adaptive cruise control system for an electric vehicle is designed using
fuzzy logic controller. The simulation of the system has been realized on a computer
software. According to simulation results, fuzzy logic controller has maintained to cruise
at desired speed of electric vehicle if there is safety distance between host vehicle and
leading vehicle. In case of any safety distance between the vehicles, the safety distance is
ensured by prevention of acceleration to desired speed. The safety distance has ensured the
time gap rule in ISO 15622 which is a standard for adaptive cruise control systems.
KEYWORDS - Electric vehicle, Fuzzy logic, Adaptive cruise control system
Istanbul, Turkey, May 9-12, 2017
165
International Conference on Advanced Technology & Sciences (ICAT’17)
MULTIMODE LASER DIODE DRIVER DESIGN FOR PHOTODYNAMIC
THERAPY
MUHAMMED GULER1, ALI FURKAN KAMANLI1, MUSTAFA ZAHID
YILDIZ1, AYLA EREN OZDEMIR1, HYUN SOO LIM1
1
Sakarya University, Turkey
ABSTRACT
Photodynamic therapy (PDT) is a minimally invasive photochemotherapy method based
on the principle that photosensitizer induced target tissue is stimulated by the light sources
in the appropriate wavelength and sufficent energy. Excitation of the Photosensitisier leads
cells to the necrosis. After the cell necrosis healthy cells produced by the body and
Phtodynamic therapy has a high success rate in soft tissue cancers. In this study, LASER
diode based light source system is designed which can radiate at 635nm to excite 5Aminolevulinic acid (5-ALA) which is used as PDT synthesizer. Since the current /
voltage (I / V) relationship of the laser diodes is exponential and the output power is
related to the current passing through the diode, the LASER diodes are driven by the
constant current source. In order to improve the performance of the PDT and minimize the
thermal damage to the tissue, the light is switched in different modes instead of only in the
continuous mode. Thus, the light can reach the instantaneous higher powers and intervene
in cancerous cells in deeper regions of the tissue. In pulse and burst-pulse modes based on
the switching principle of light, spike voltages are observed in the transient state at the
rising edges of the LASER voltage. These high amplitude voltages are damped to prevent
damage to the laser diode. In spite of the damping of the spike voltages, a LASER diodes
parallel capacitor connection has been tried. However, since this causes the delay of the
LASER diode to be delayed, the parallel MOSFET is connected to the LASER diode and
the switching time of this MOSFET is being controlled by the microcontroller
(DsPic33WP128MC506). Finally, the laser diode voltage is fed back to the analogue
digital converter of the microcontroller to provide PID control of the output power.
KEYWORDS - Photodynamic therapy, high power laser driver, laser driver design
Istanbul, Turkey, May 9-12, 2017
166
International Conference on Advanced Technology & Sciences (ICAT’17)
REVIEW OF EXTREMELY LOW FREQUENCY (ELF) ELECTROMAGNETIC
FIELD MITIGATION TECHNIQUES
KENAN OZEL1, ILHAN KOSALAY1
1
Ankara University, Turkey
ABSTRACT
Due to the increased energy demand, the electromagnetic field level in our environment is
constantly increasing during the 60 years we have passed. On the rise of the
electromagnetic field, energy transmission and distribution lines, switching points,
transformer centers, electrical installations, panels and devices with high power
consumption are effective. The effects of power frequency electromagnetic fields emitted
from these sources on the living things have always been controversial. While some
scientists argue that extremely low frequency (ELF) magnetic field are not harmful to
health, some scientists have argued that those who work on electrical power systems and
the people living near those systems have negative health effects by suggesting discomfort
such as headache, fatigue, dizziness and sleeplessness. When we look at the history of this
subject, until the 1960s, 50-60 Hz magnetic fields were considered to be non-hazardous. In
1979, epidemiological study of Wertheimer and Leeper on the possible negative effects to
human health of magnetic fields with extremely low frequencies caught the attention of
those working in the field. In that study, it has been reported that power frequency
magnetic fields arising from energy transmission lines significantly increase the incidence
of blood cancer in children living near the line. Up to now, many epidemiological and
biological studies have been conducted on this subject. In addition, community and
occupational exposure limit values for harmful electromagnetic emission were determined.
These limit values have been adopted by many countries including Turkey. Limit values
are determined by the International Commission on Non-Ionizing Radiation Protection
(ICNIRP). ICNIRP publishes guidelines for low and high frequency bands, examining
possible negative effects of electric and magnetic fields on human health. Non-ionizing
electromagnetic radiation at the power frequency passes through the human skin and
weakens inside the body. It does not cause the formation of charged ions in the passing
part because of the low particle energy. However, where they pass, they cause some
effects such as electrical overload, nervous disorders, muscle reactions, dizziness, nausea
and cellular malfunction. For this reason, it is necessary to reduce the electromagnetic
emission at the power frequency and to draw it below the limit values determined by the
international commission. For this, there are many methods such as repositioning of the
sources which emit the power frequency electromagnetic field, shielding with conductive
and ferromagnetic materials, using active and passive mitigation loop. In this study, a
detailed examination will be made on these reduction methods.
KEYWORDS - Magnetic field, Mitigation, Shielding, Passive loop, Active loop
Istanbul, Turkey, May 9-12, 2017
167
International Conference on Advanced Technology & Sciences (ICAT’17)
GRAPHICAL STABILIZATION APPROACH FOR UNSTABLE FIRST ORDER
LINEAR SYSTEMS WITH TIME DELAY
ABDELKADER MADDI1, ABDERREZAK GUESSOUM1, DAOUD BERKANI1
1
University of Blida 1, Algeria; 2 Polytechnic School of Algiers, Algeria
ABSTRACT
In this paper, a graphical stabilization approach is proposed and analyzed for a class of
unstable first order linear systems with time delay. We first show that the control designs
based on time invariant models are unable to guarantee stability and asymptotic tracking
for unstable first order linear systems in general case. So, the condition stability is
analysed graphically by computing the first derivative and plotting the graph of a function
with precision; the first derivative allows us to determine the critical points and several
conditions of stability. Therefore, it’s important to note that the method can guarantee the
existence of a proportional gain to ensure the stability of the closed-loop system such that
the time delay is small relatively to the time constant. Finally, a numerical example
illustrates the efficiency and performances of the proposed approach.
KEYWORDS - Linear system; time delay; proportional gain; asymptotic stability; output
feedback
Istanbul, Turkey, May 9-12, 2017
168
International Conference on Advanced Technology & Sciences (ICAT’17)
THROUGHPUT ENHANCEMENT OF MULTIPATH TCP BY SUBFLOW
BANDWIDTH MEASUREMENT IN WIRELESS NETWORKS
MIN SUB KIM1, KI MOON HAN1, JAE YOUG LEE1, BYUNG CHUL KIM1
1
Chungnam National University, Korea Republic Of
ABSTRACT
Multipath TCP (MPTCP), which is an extenstion of TCP, is a protocol that supports
multipath transmission. MPTCP has advantages in compatibility with original TCP
because it uses option field in TCP protocol. On the other hand, it has the same problem as
TCP in wireless network because TCP misinterprets the packet loss due to channel noise
or handoff as a congestion, resulting in congestion control and degradation in
performance. Thus, if MPTCP protocol is applied in wireless network, loss in a subflow
make congestion window decrease and aggregation effect of MPTCP does not occur. In
this paper, we propose a congestion control method that measures the bandwidth on each
subflow of MPTCP and reduces the size of congestion window by the measured
bandwidth when packet loss occurs in order to solve MPTCP performance degradation due
to frequent congestion control from high bit loss rate in wireless environment. In order to
analyze the performance of the proposed congestion control, we implemented the
proposed congestion control in the Linux kernel and compared it with the existing MPTCP
in the wireless testbed and the actual wireless network. Experimental results show that the
proposed congestion control has better throughput performance than the conventional
MPTCP congestion control in wireless environments and furthermore it meets MPTCP
design.
KEYWORDS - MPTCP, TCP, congestion control, wireless network, Multipath TCP
Istanbul, Turkey, May 9-12, 2017
169
International Conference on Advanced Technology & Sciences (ICAT’17)
A MOBILE APPLICATION DESIGN FOR INTRODUCTION OF DEVICES OF
THE PHYSICS LABORATORY
NIGMET KOKLU1, DUNDAR YENER2
1
Selcuk University, Turkey; 2Abant Izzet Baysal University, Turkey
ABSTRACT
Mobile learning is a powerful environment that combines mobile application and elearning. Mobile application development, which is one of the new technologies in today's
our modern world, continues to rapidly increase its popularity. Many experimental sets,
measuring instruments and high cost equipment are used in physics laboratories. Students
need to use these laboratory equipment well because all responsibilities of these
instruments were largely given to the students. If the laboratory equipment is damaged,
education will have a hitch, and this case will also bring high cost to education institutions.
Operating the devices in accordance with the user guide is necessary to prevent such
undesirable situations. For this reason, students need to be informed about the use of the
equipment, and how to do experiments. Considering these situations; a mobile application
containing video images, brochures, and animations describing the use of devices found in
the physics laboratory. Considering all these situations; a mobile application has been
designed that explains the use of devices found in the physics laboratory and includes their
video image, brochures, and animations. In this designed mobile application, it is
considered that the images, graphics, shapes and texts used are understandable and that the
colors used are integrated in the screen. It is also important that the animations and images
used are not eye strain and that the view is clear.
KEYWORDS - Mobile Application, Physics Laboratory, Introduction to Laboratory
Devices
Istanbul, Turkey, May 9-12, 2017
170
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN OF INTERACTIVE E BOOK APPLICATION FOR PHYSICS COURSE
NIGMET KOKLU1, DUNDAR YENER2
1
Selcuk University, Turkey; 2 Abant Izzet Baysal University, Turkey
ABSTRACT
Differentiations are seen in the book format along with the rapid development of
technology. Thanks to the possibilities provided by the electronic environment, e-books
are supported by electronic contents such audio, music and images. Also, getting feedback
in the e-book is easy. In addition, e-books have high storage capacity and it encourages
people to read them. Another advantage of the book is that it is accessible for special
needs individuals. E-books are usually read by using tools such as tablets and computers
which have the necessary software for it. Interaction is defined as the communication
between two or more people/ objects, or interaction of two or more persons or objects with
each other, or two or more people/objects reacting to each other as a result of a stimulus.
The interactive e-book offers much more to learners than a book. The interactive e-book,
which is enriched with multimedia elements such as audio, video, animation and has an
entirely interactive learning environment, enables more effective and productive learning
by drawing learners to the center of the work process. Considering the philosophy of” less
is more” that, the most important and brief information about the subject is taught via
video. It is thought that understanding of difficult subjects in the field of physics will be
understood and persisted through the interactive e-book. Especially, it is aimed to
minimize the misconceptions related to electricity. Considering of all this, interactive ebook applications are designed for physics lessons so that students understand the
complicated subjects more easily and to help eliminate the misconceptions about them.
Adobe InDesign software is used for this design. In this designed mobile application, it is
considered that the images, graphics, shapes and texts used are understandable and that the
colors used are integrated in the screen. It is important that the images used are not eyestraining and the view is clear. It has taken care of the font is legible in terms of style,
color and size. Also, very long texts are not preferred in the designed e-book. Thus, it is
ensured that the information to be given becomes more remarkable.
KEYWORDS - Interactive E-Book, Application Design, Physics Course
Istanbul, Turkey, May 9-12, 2017
171
International Conference on Advanced Technology & Sciences (ICAT’17)
INVESTIGATION OF ATMOSPHERIC ATTENUATION FACTOR FOR HIGH
SPEED TERAHERTZ WIRELESS COMMUNICATION LINKS AT 0 275 THZ
AYHAN YAZGAN1
1
Karadeniz Technical University, Turkey
ABSTRACT
Atmospheric attenuation factor limits high speed wireless communication links due to the
high absorption of gases in the communication medium. In this study, several kinds of
scenarios have been implemented using MATLAB platform. In order to see the negative
effect of atmosphere attenuation clearly, a link budget has also been conducted at 0.275
THz according to the good and bad conditions of the communication medium.
KEYWORDS - Atmospheric effects, attenuation, high speed wireless communication, link
budget, terahertz communication
Istanbul, Turkey, May 9-12, 2017
172
International Conference on Advanced Technology & Sciences (ICAT’17)
ANNEALING TEMPERATURE DEPENDENT CHARACTERIZATION OF NI AU
N GAN SCHOTTKY DIODE USING ARTIFICIAL BEE COLONY ALGORITHM
HULYA DOGAN1, SERDAR KOCKANAT1, YAVUZ TURKAY1, MUSTAFA
SEKER1, MURAT CIKAN1, DERYA BETUL UNSAL CELIMLI1
1
Cumhuriyet University, Turkey
ABSTRACT
In this work, we have analyzed the effect of the thermal annealing process on Ni-Au/ nGaN Schottky diodes. Also, the diode characteristics were presented for pre- and postannealing process using two important electrical parameters ideality factor (n) and barrier
height (ϕb). For this purpose, in the first stage, n-GaN films used and were epitaxially
grown by metal organic chemical vapor deposition (MOCVD) on c-plane Al2O3 (Saphire)
substrates. This crystal grown on by us an undoped GaN layer thickness of 1250 nm was
grown followed by the growth of 1350 nm thick n-GaN: Si (Nd = 1.01x1018 cm-3) layer.
On the enlarged structure, Schottky contacts were prepared by evaporation deposition of
Ni and Au metals. At last, Ni-Au/ n-GaN Schottky diodes were produced. For preannealing process, the I-V characteristics of unannealed prepared devices were measured
using a Keithley 487 Picoammeter/Voltage Source in the room temperature. After
formation and measurement of the unannealed Schottky diodes, they were annealed at for
1 min in N2 atmosphere. For post-annealing process, the I-V characteristics of annealed
Schottky diodes were measured with same measuring instrument. In the second stage, in
order to analyze the beneficial effect of thermal annealing process on Ni-Au/ n-GaN
Schottky diode, the modified artificial bee colony algorithm has been used in extraction of
ideality factor (n) and barrier height (ϕb). For pre-annealing process, ideality factor (n) of
3.5888 and barrier height (ϕb) of 0.5390 eV of were achieved. For post-annealing process,
ideality factor (n) of 1.2898 and barrier height (ϕb) of 0.6410 eV of were obtained. The
results show that ideality factor decreases while barrier height increases. So, the ideality
factor, which is equal to one for ideal diode, moves closer to one and the characteristics of
the diodes were improved.
KEYWORDS - Schottky diode, modified artificial bee colony, annealing, metalsemiconductor contact
Istanbul, Turkey, May 9-12, 2017
173
International Conference on Advanced Technology & Sciences (ICAT’17)
PERFORMANCE COMPARISON BETWEEN IP AND MPLS NETWORKS
USING OPNET MODELER
ALI GEZER1, MARWA KHALEEL1
1
Erciyes University, Turkey
ABSTRACT
Multi-Protocol Label Switching (MPLS) is an up to date technology used in packet routing
in ISP’s backbones due to its superiorities in many performance criteria including VPN,
QoS and traffic engineering supports. It allows routing traffic efficiently in the network,
reduces network congestion and improves performance and efficiency of the Internet.
Since MPLS routing supports quality of service, it provides smooth and steady voice
transfer. Delivering real time traffic such as video conference doesn’t affect the
performance of other applications and provides high security with its data encryption
which helps to connect all the branches together in a safely manner. In this paper, we
conduct a performance comparison study of two networks which use MPLS and IP routing
for voice, video conferencing and web applications using OPNET simulator environment.
Jitter, end to end delay, send and received traffic performance criteria are taken into
account to compare the performances of two routing strategy. In terms of dropped packets,
throughput and jitter, MPLS network provides better results in comparison to IP networks.
KEYWORDS - Multiprotocol label switching (MPLS), Quality of service (QoS), Routing
Internet Protocol (RIP), Background traffic, Opnet modeler
Istanbul, Turkey, May 9-12, 2017
174
International Conference on Advanced Technology & Sciences (ICAT’17)
CONTROL OF TRIGLIDE ROBOT WITH ARTIFICIAL NEURAL NETWORKS
MUHAMMET AYDIN1, OGUZ YAKUT1
1
Firat University, Turkey
ABSTRACT
In this paper, artificial neural networks control of a three degrees of freedom triglide
parallel robot has been realized via inverse-forward kinematics equations and dynamic
equations of it. The coefficients of the artificial neural networks controller were calculated
by using genetic algorithm optimization method. The controls have been performed for
references of x, y and z coordinates of the triglide parallel robot to demonstrate the success
of artificial neural networks control method. Matlab package program has been used for
numerical solutions. The system responses of the triglide parallel robot have been obtained
graphically and the results have been examined.
KEYWORDS - Dynamics, Kinematics, Artificial Neural Networks, Triglide, Genetic
Algoritm
Istanbul, Turkey, May 9-12, 2017
175
International Conference on Advanced Technology & Sciences (ICAT’17)
CENTRE OF MASS MOTION AND THE MOTT TRANSITION IN LIGHT
NUCLEI
AREEJ ABDELRAHMAN1, MAHMOUD STATY1, HENRRY JAQAMAN1
1
Birzeit University, Palestinian Territory
ABSTRACT
We calculate the effect of the inclusion of the centre of mass (CM) motion on the survival
of light nuclear clusters in a vapour of nucleons at very low densities and oderate
temperatures. The Mott transition refers to the dissolution of these clusters above a certain
vapour density (the Mott density). The cluster CM motion has so far been included
approximately or at fixed CM momentum in calculations of the Mott density. Often it is
neglected altogether due to technical difficulties. In the present work we include the CM
motion exactly for clusters up to A = 4 and calculate its effect by averaging over all values
of the CM momentum at a given temperature rather than at a fixed value of the CM
momentum. We demonstrate that the inclusion of the CM momentum shifts the Mott
density to higher values. The shift, however, decreases as the cluster mass increases.
KEYWORDS - Low density nuclear vapour, cluster formation, Mott transition, centre of
mass effects
Istanbul, Turkey, May 9-12, 2017
176
International Conference on Advanced Technology & Sciences (ICAT’17)
CLASSIFICATION OF COMMONLY HEARD LUNG SOUNDS RECORDED IN
SINGLE CHANNEL
SELIM ARAS1 , MEHMET CINEL1 , ALI GANGAL1
1
Karadeniz Technical University, Turkey
ABSTRACT
Auscultation is one of the first methods used to diagnose lung diseases. The success of
auscultation depends on the hearing ability and experience of the physician who
performing the auscultation. In the past, studies were carried out on the automatic
recognition of lung sounds to make people independent of their abilities. However, most
of these studies have been performed in multi-channel. Auscultation is essentially
performed as a single channel. Therefore, in this study, commonly heard lung sounds
consisting of healthy, rhonchi, crackles (consist of fine, coarse, and Velcro crackles) were
recorded as the single channel. An electronic stethoscope (20-2000Hz) capable of
recording in the frequency range suitable for lung sounds and digital sound recorder were
used in the recording. All records were taken and labelled by two physicians. The dataset
was randomly selected and then equally divided into training and test clusters. This
process has been repeated 100 times. The Leave-One-Out Cross-Validation method was
applied to the obtained training and test clusters in order to get rid of the random selection
problem. Unlike previous studies, time and frequency domain attributes and attributes
derived from Mel Frequency Cepstrum Coefficients (MFCC) were used as features in this
study. Support Vector Machine, Naive Bayes, and k-Nearest Neighbour (k-NN)
algorithms were used in the test phase of the classification. The mean and standard
deviation of classification results from randomly selected training and test clusters were
presented in the results section. After examining the results of each feature, the Sequential
Forward Selection method was applied to investigate the success of the appropriate
combinations of features. The mean and standard deviations of the MFCC and mean of
features obtained from frequency domain is the most successful combination. When this
combination was classified by the k-NN algorithm, it gave the most successful result with
96,47%1,94.
KEYWORDS - Common lung sounds, Frequency domain features, Time domain features,
Mel frequency cepstrum coefficients, classification
Istanbul, Turkey, May 9-12, 2017
177
International Conference on Advanced Technology & Sciences (ICAT’17)
POSITION ESTIMATION OF SENSORS USING PARAMETRIC EQUATION OF
A HYPERBOLA WITH STATIC AND DYNAMIC COMMUNICATION RANGE
DOGAN YILDIZ1, SERAP KARAGOL1
1
Ondokuz Mayis University, Turkey
ABSTRACT
A Wireless Sensor Network (WSN) represents a wireless network of autonomous devices
that are spatially distributed in the application domain. Sensors are used in a WSN to
monitor physical or environmental conditions. A WSN system incorporates a gateway that
provides wireless connectivity back to the wired world and distributed nodes. Accurate
and low cost localization is a crucial requirement for wireless sensor networks to be used
in a wide variety of applications. Time Difference of Arrival (TDOA) localization is one
of the widespread methods by virtue of its high estimation accuracy. The TDOA algorithm
is guaranteed to find all possible relevant solutions, even when implemented on a
computational node with limited capability. In our recent study, Parametric Equation
based Hyperbolic Localization Algorithm in 2D space were proposed. In the Parametric
Equation based Hyperbolic Localization Algorithm in 2D, two hyperbolic intersection
points were found and hyperbolas were rotated clockwise at a certain angle. Uniformly
distributed network were used to localize the target nodes while aforementioned algorithm
is being run. In this paper, Normal, Rician, Burr and Rayleigh distributed networks is used
for localization and the localization performance of the networks are evaluated and
compared using MATLAB simulations.
KEYWORDS - Localization, Parametric-Hyperbolic Based Algorithm, Statistical
Distributions, Time Difference of Arrival, Wireless Sensor Networks.
Istanbul, Turkey, May 9-12, 2017
178
International Conference on Advanced Technology & Sciences (ICAT’17)
SELJUK STAR PATCH ANTENNA DESIGN ON WOOLENFELT MATERIAL
FOR WEARABLE 2400 MHZ ISM BAND APPLICATIONS
DILEK UZER1, SEYFETTIN SINAN GULTEKIN1, RABIA TOP1
1
Selcuk University, Turkey
ABSTRACT
In this study, a Seljuk star geometry microstrip patch antenna design, which operates at
2400 MHz frequency, is achieved on Woolenfelt material for using in Industrial, Scientific
and Medical (ISM) band applications. Woolenfelt is a natural material that can be
produced at desired thicknesses with low cost and has a lower dielectric constant as 1,45.
Owing to easy fabrication and being adaptable to wearable applications, this material is
preferred for the design. In addition to be cheaper than other dielectric substrates
andfabricated in our country are others reasons for preferring the material as square-shape
substrate of Seljuk star antenna. All designs are fed by using coaxial feedline. The designs
are improved by HFSS. While simulations are repeated for patch dimensions, ground
plane and substrate dimensions, the feed point and the thickness of the dielectric substrate
one by one for each parameter at a time, so the effects of these parameters on antenna
performance can be exhibited clearly. At the end of the study more than one design are
obtained that can be used for wearable ISM band applications. These designs resonate near
and at 2400 MHz with a bandwidth over % 35. For the best design, thanks to its under -50
dB S11 result, it can be used in practical applications on human body. Ground plane and
substrate thickness dimensions are reduced by 60% and 49%, respectively. The
empedance bandwidth is enhanced to 47,03% with optimizations. The design is simple and
easy fabricated with low cost so it can find place in nowadays mobile and wearable
applications.
KEYWORDS - Seljuk star, patch antenna, HFSS, ISM, wearable applications.
Istanbul, Turkey, May 9-12, 2017
179
International Conference on Advanced Technology & Sciences (ICAT’17)
A COMPARATIVE STUDY FOR COOPERATIVE MISSION PLANNING OF
UAV SWARM
EBRU KARAKOSE1
1
Firat University, Turkey
ABSTRACT
Today, Unmanned Aerial Vehicle (UAV) are used in many military and civilian
applications. In recent times, it is necessary to use UAV swarm in more complex tasks
such as multi-target tracking and tracking, multi-purpose task coordination and strategic
objectives identification. Coordination of UAV swarm requires very complex control,
planning, communication, and computation. In this study, a comparison study is presented
for the optimization and control algorithms that can be used for coordinated task planning
of UAV swarm. Basically, the coordination process of UAV swarm consists of an
optimization algorithm for task planning and a decision-making approach for cooperation.
For this purpose, the performance and the performance of the optimization algorithms
were first compared in the study. Then, comparative results for different scenarios are
given for task planning in the study. From the optimization algorithms that can be used for
task planning of UAV swarm, the performance of particle swarm optimization, genetic
algorithm, artificial immune systems and hybrid algorithms are tested for the targeted
study and the results are presented. The performance comparisons aimed at the study are
presented with simulation data and the performance of the algorithms used is evaluated
according to these results. In addition to these, inferences are given to the selection and
design of optimization algorithms that can be used for task planning of UAV swarm in
operation.
KEYWORDS - UAV swarm, optimization, mission planning
Istanbul, Turkey, May 9-12, 2017
180
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINING TWO COMMON POWER QUALITY DISTURBANCES
VOLTAGE SAG AND VOLTAGE SWELL
CAGRI KOCAMAN1, MUAMMMER OZDEMIR1
1
Ondokuz Mayis University, Turkey
ABSTRACT
In this paper, wavelet based feature extraction method are used for determining power
quality disturbances which are important for power systems. These power quality
disturbances used in this study are voltage sag and swell. They are two common type
power quality disturbances. 50Hz pure sine as a reference, voltage sag and voltage swell
are generated at MATLAB in order to extract feature vector of pure sine, voltage sag and
voltage swell. Sampling period is 25.6 kHz. Firstly, discrete wavelet transform is applied
to these power quality disturbances and 50Hz pure sine. 12 level Daubechies-4 wavelet
function are used. Parseval theorem is applied to wavelet coefficients for obtaining energy
distribution of detail coefficients of these relevant disturbances in different resolution
levels. Energy distrubution of detail coefficients of constituted power quality disturbances
and pure sine are obtained. Pure sine coefficients are considered as a reference. It is seen
that voltage sag, voltage swell and pure sine can be distinguished when examineing energy
distrubution of detail coefficients. Also data size can be reduced in small size. Then
amplitudes of voltage swell and sag are incresed. It is observed increased in detail
coefficients which are important for these power quality disturbances. Energy coefficients
of power quality disturbances and amplitude of power quality disturbances are in direct
propotion.
KEYWORDS - power quality disturbances, voltaga sag, voltage swell, wavelet transform,
parseval theorem, discrete wavelet filter
Istanbul, Turkey, May 9-12, 2017
181
International Conference on Advanced Technology & Sciences (ICAT’17)
TIME FREQUENCY GRAY LEVEL CO OCCURRENCE MATRIX
DESCRIPTORS FOR DECEPTION DETECTION
ABDULKADIR SENGUR1, SAMI EKICI1, YAMAN AKBULUT1, TURGUT KAVAS1
1
Firat University, Turkey
ABSTRACT
In this paper, time-frequency domain gray level co-occurrence matrix (GLCM) descriptors
are used to discriminate between lies and truth in speech signals. The proposed method has
previously been successfully applied to EEG classification. This encouraged the authors to
adapt this scheme in order to discriminate between lies and truth in speech signals. To the
authors' knowledge, this is the first time that such a methodology has been applied in
deception detection. The proposed methodology initially applies the spectrogram method
to convert the input speech signal to a time-frequency image; after which, GLCM
descriptors are extracted. Liblinear SVM classifier is employed to classify the input speech
signals as lies or truth. The efficiency of the proposed method is tested with a real-life
dataset. The obtained results are encouraging, with classification accuracy reported at
almost 10% higher than previously reported results.
KEYWORDS - Deception detection, speech signals, GLCM
Istanbul, Turkey, May 9-12, 2017
182
International Conference on Advanced Technology & Sciences (ICAT’17)
CHARACTERIZATION OF ZNO THIN FILMS DEPOSITED BY PULSED
LASER DEPOSITION PLD TECHNIQUE
AHMET TOPRAK1, SERAP YIGIT GEZGIN1, HAMDI SUKUR KILIC1
1
Selcuk University Konya, Turkey
ABSTRACT
Zinc oxide (ZnO) is a wide band gap (Eg=3.30 eV) n-type semiconductor material and
presents a high transparency for the visible region of the spectrum. Because of this optical
and electrical properties, ZnO thin films were preferable for electronics, optoelectronics,
sensors, semiconductor devices, electronic circuits and devices, especially in solar cells
and thin film transistor (TFT) applications. In this study, we present the optical and
structural properties of ZnO thin films, which we have deposited on glass substrates in our
laboratory by using PLD technique at room temperature under oxygen (O2) ambient gas
environment. An Nd:YAG laser was used for ablation process connected to a homemade
PLD vacuum chamber which was design by our group and produced in local industrial
area in Konya. The optical, electrical and surface properties of the ZnO thin films
produced were characterized by atomic force microscopy (AFM), X-ray diffraction (XRD)
and ultraviolet-visible (UV-VIS) absorption spectroscopy. As a result, PLD system has a
great flexibility to adjust its parameters, therefore, we used these parameters to fabricate
ZnO thin film. This parameters will be referred to further studies like the solar cell and the
TFT applications.
KEYWORDS - PLD, ZnO, TFT, Thin Film.
Istanbul, Turkey, May 9-12, 2017
183
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPACT OF BACKGROUND LANGUAGE ON TURKISH TEXT DEPENDENT
SPEAKER VERIFICATION
HAVVA CELIKTAS1, CEMAL HANILCI2
1
Antalya International University, Turkey; 2 Bursa Technical University, Turkey
ABSTRACT
Speaker recognition is a pattern recognition task which has long been studied, but the
accuracies are still far from the desired levels. The majority of the studies on speaker
recognition demonstrates the results obtained from databases consisting of English voice.
Since there are very few studies on Turkish speech, the speaker recognition performance
of the known successful methods on Turkish spoken language are uncertain. Therefore, in
this study, the performance of the Turkish text - dependent speaker verification system is
investigated using well-known Gaussian Mixture Model - Universal Background Model
(GMM - UBM) method. A Gaussian mixture model (GMM) for each speaker is derived
from the Universal Background Model (UBM) with maximum a Posteriori (MAP)
adaptation. The impact of the language used to train the UBM is considered in this study.
To this end, UBMs are trained using Turkish and English speech databases and their
effects on the performance of Turkish speaker verification system are compared.
Experiments are conducted on Turkish text-dependent speaker verification database using
two well-known feature extraction techniques, Mel-frequency cepstral coefficients
(MFCC) and Modified Group Delay cepstral coefficients (MGDC). Experimental results
reveal that training the UBM model using Turkish data considerably improves the equal
error rate (EER) of text-dependent speaker recognition in comparison to English data and
magnitude spectrum based MFCC features outperforms the phase spectrum based MGDC
features.
KEYWORDS - Turkish speaker recognition, Gaussian mixture model, Mel-frequency
cepstral coefficients, modified group delay features, universal background model.
Istanbul, Turkey, May 9-12, 2017
184
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW MODIFICATION ON FORMULATION OF BROADBAND IMPEDANCE
MATCHING
METIN SENGUL1
1
Kadir Has University, Turkey
ABSTRACT
In broadband matching network design, one of the matching network parameters is
optimized until reaching the desired transducer power gain in the interested frequency
band. In transducer power gain calculations, the input or output impedance of the
matching network is employed. So it is necessary to find the values of the input or output
impedance. In this work, a new formulation is given to calculate these impedance values.
The proposed approach can be used to design both single and double broadband matching
networks with lumped, distributed or mixed elements. The utilization of the new approach
is illustrated via the given examples.
KEYWORDS - Broadband, matching, lossless networks, passive networks, real frequency
techniques.
Istanbul, Turkey, May 9-12, 2017
185
International Conference on Advanced Technology & Sciences (ICAT’17)
PROPERTIES OF MULTILAYERED MG BASED GUIDED MODE RESONANCE
FILTERS GMRFS
DUAA ABUMURRA1, EDWARD SADER1
1
Birzeit University, Palestinian Territory
ABSTRACT
Due to the importance of guided mode resonance filters (GMR filter) in versatile
applications in integrated optics, spectroscopy, and holography. Such as; fiber optic
communication systems, laser resonator frequency selective mirrors, electro optic
modulators, and electro optic tunable filters. This work targets towards optimizing the
properties and performance of multilayered Mg – based guided mode resonance filter in
terms of resonance efficiency, sidebands effects, and resonance bandwidths, while
additional layers are introduced. The effects of varying the parameters of the grating such
as its thickness, period, and duty cycle, also the effects of changing the number, location
and thicknesses of the additional layers were investigated and optimized by means of
rigorous – coupled wave analysis (RCWA). The most interesting things about the
multilayered Mg – based guided mode resonance filter are its simplicity, compactness,
integration of other sensing systems, and possibility of growth of all layers in one process.
The spectral sensitivity of the filter for both the transverse electric (TE) and transverse
magnetic (TM) polarization modes were estimated and compared for various regions in the
spectrum. A spectral response characterized with narrow bandwidth and low reflection
sidebands was realized by carrying out extensive parameter search and optimization. The
most interesting thing in our results is that one can design a GMR filter with a specific
wavelength and linewidth, also the existence of the buffer layer gives us more ability to
control the thickness of the grating and the waveguide.
KEYWORDS - Diffractive optics, guided waves, filters, spectral sensitivity
Istanbul, Turkey, May 9-12, 2017
186
International Conference on Advanced Technology & Sciences (ICAT’17)
OBTAINING THE EFFECTS OF THE VOLTAGE SAG DURATION ON
FLUORESCENT LAMPS
MEHLIKA SENGUL1
1
Kocaeli University, Turkey
ABSTRACT
Most of the studies about the effects of the voltage sags on sensitive loads are about
getting tolerance curves of such equipments and comparing them with the standards. This
study helps to fill information gap about the effects of voltage recovery after the voltage
sags on the fluorescent lamps by providing detailed analysis. Varied voltage sag
magnitudes and durations were applied to the test circuits by using California Instruments
4500LX programmable power source. Tests were performed on selected equipments such
that voltage sags tend not to damage them. Data sets were recorded by Scopemeter 199-C.
Obtained data sets were analysed by using MATLAB programme. The test results showed
that at the instant of the voltage recovery, there may be a current spike in the illuminating
system. Evaluating the test results, some special conditions have been identified that cause
the inrush current to reach its maximum level.
KEYWORDS - Power quality, Voltage sag, fluorescent lamp, Inrush current
Istanbul, Turkey, May 9-12, 2017
187
International Conference on Advanced Technology & Sciences (ICAT’17)
A MICROSTRIP PATCH ANTENNA DESIGN TO DETERMINE THE LEVEL OF
OCCLUSION IN HEART VEIN
RABIA TOP1, SEYFETTIN SINAN GULTEKIN1, DILEK UZER1
1
Selcuk University, Turkey
ABSTRACT
To detect heart failures, several solutions based on antenna are produced. In this work, a
microstrip patch antenna structure is designed towards detecting occlusion rates of the
heart vessel. As operating frequency and substrate, 5.8 GHz and RT/Duroid 5880 are
selected. Proposed antenna and modelled heart vein and its occlusion are simulated in
Ansoft HFSS program. When modelled occlusion radius is changed, different
electromagnetic field values are obtained as based on each radius. Differences in these
values is a basic study on determining level of occlusion in heart vein. Accordingly, It is
thought that the proposed antenna structure can be used to determine the occlusion rates of
the heart vessel.
KEYWORDS - Microstrip antenna, modeling heart vein, occlusion, HFSS
Istanbul, Turkey, May 9-12, 2017
188
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPROVEMENT OF A SOLENOID FOR ELECTROMECHANICAL VALVE
EMV SYSTEMS
NIDA BIRGUL1
1
Baskent University, Turkey
ABSTRACT
Electromechanical valve (EMV) systems perform valve timing entirely independently of
the crankshaft position. It provides multiple control of the valves in one cycle. It has a
great potential to improve the engine performance on one hand and to provide optimum
fuel consumption and to minimize emissions on the other hand. In this study, it was aimed
to improve the solenoid used in an EMV system with 12V operating potential and to
perform static and dynamic analysis of it. In the initial design, the coil resistance is 1.2 Ω,
and the maximum solenoid force at 10 A current value is measured as 76 N.
KEYWORDS - Valve, Electromechanical Valve, Variable, Mechatronics, Internal
Combustion Engines. Solenoid.
Istanbul, Turkey, May 9-12, 2017
189
International Conference on Advanced Technology & Sciences (ICAT’17)
UNDERSTANDING OF BIPOLAR DISORDER ON RAT BEHAVIORS VIA
NONLINEAR STATE ESTIMATION
AYSEN CETIN KARDESLER1, MERIC CETIN1, MEHMET DOGAN ELBI1
1
Pamukkale University, Turkey
ABSTRACT
Bipolar disorder is a disease that is mostly encountered in medical literature. This
psychiatric illness with hypomanic and depressive mood can be modelled as limit cycle
oscillator. Artificial sweetener like Aspartame (ASP), which has neurologic and behavioral
effects on animals, induces the bipolar disorder-like behavioral properties on rats. In this
study, mood changes of rats exposed to intraperitoneal ASP injections in 8 different
sessions at following dosages: 50 mg/kg/day, 100 mg/kg/day and 200 mg/kg/day have
been investigated. Open Field Test (OFT) is implemented to determine the bipolar
disorder behaviors of animals. In order to interpret the chaotic moods of bipolar disorder a
sliding-mode observer (SMO) has been designed. The advantage of the estimation
unmeasurable moods is that provides us the knowledge of which bipolar disorder mood
the rat is in and helps to understand the future moods of rats. According to the observation
results after the ASP injection, considerable increases were observed in grooming values
as OFT results were monitored, while considerable decreases were observed in line
crossing and rearing activities after ASP injections.
KEYWORDS - Rat, bipolar disorder, animal behaviors, nonlinear state estimation, limit
cycle oscillator, sliding mode observer
Istanbul, Turkey, May 9-12, 2017
190
International Conference on Advanced Technology & Sciences (ICAT’17)
PETRI NETS MODELLING OF SMART AGRICULTURAL SYSTEM
HANIFE APAYDIN OZKAN1
1
Anadolu University, Turkey
ABSTRACT
Technological developments that affect human life make people's life easier. Recently, we
have started use smart systems in our homes and factories. In this work, a smart
agricultural scheme (CPS-cyber physical system) is proposed and its adaptation to farmer
life is presented. Firstly, working principles of sensors for agricultural applications and the
proposed smart farming system are explained and compared. Then, Petri net model of the
sensors is developed in order to enable a good general view of the operation of these
sensors and their adaptation to smart farming system. Moreover, for monitoring and
controlling the sensors and actuators, a simulation program is prepared. Simulation results
show that the proposed scheme makes it easier for farmers to understand smart farming
systems.
KEYWORDS - Petri nets, smart agriculture, sensors, simulation
Istanbul, Turkey, May 9-12, 2017
191
International Conference on Advanced Technology & Sciences (ICAT’17)
PHOTOELECTRICAL PARAMETER CALCULATION OF METAL ORGANIC
INORGANIC PHOTO DIODE USING AN APPROACH BASED MABC
ALGORITHM
HULYA DOGAN1, SERDAR KOCKANAT1, YAVUZ TURKAY1, MURAT
CIKAN1, DERYA BETUL UNSAL CELIMLI1
1
Cumhuriyet University, Turkey
ABSTRACT
In this study, we have proposed a metaheuristic technique based on modified artificial bee
colony (MABC) algorithm to determine the electrical parameters of photodiode device.
Firstly, the deposition of tris (2,2’-bipyridine) ruthenium (II)-complex thin film on p-Si
substrate by spin coating technique was presented. The Ru (II) was directly formed by
casting 5 mL of the 0.001 M Ru (II) solution in alcohol on the front surface of the p-Si
substrate and then spin coating the solution onto the Si substrate, which was rotated at
1000 rpm/min for 30 s and then dried for 60 min at room temperature in order to remove
the solvent. The electrical and photovoltaic properties of the Al /tris (2,2’-bipyridine) Ru
(II) complex/p-Si were investigated both under dark and under 100 mW/cm2 illumination
level, using forward and reverse bias current-voltage (I-V) room temperature. Secondly,
modified artificial bee colony (MABC) algorithm has been employed to calculate the
electrical parameters and series resistance (Rs), ideality factor (n) and barrier height (ϕb)
are identified 13.80 Ω, 1.44 and 0.84 eV, respectively. Compared to other conventional
methods that find Rs of 14.43 Ω, n of 1.42 and ϕb of 0.84 eV, proposed method based
MABC algorithm is very efficient and quickly technique to estimate the electrical
parameters of the fabricated photodiode. Also, the fabricated device shows a photovoltaic
behavior with the maximum open circuit voltage (Voc) of 0.419 V and short circuit
current (Isc) of 32.9 μA under 100 mW/cm2 light illumination. **Acknowledgement: This
work was supported by Scientific Research Projects Coordination Unit of the Cumhuriyet
University (CUBAP) (Project Number: M-649). **Corresponding Author (Serdar
KOCKANAT, [email protected])
KEYWORDS - Photodiode, modified artificial bee colony, optimization, electrical
parameter.
Istanbul, Turkey, May 9-12, 2017
192
International Conference on Advanced Technology & Sciences (ICAT’17)
ELECTRICAL PARAMETER DETERMINATION OF AL P SI SCHOTTKY
DIODE FROM I V AND C V CURVES USING MABC BASED METHOD
SERDAR KOCKANAT1, HULYA DOGAN1, YAVUZ TURKAY1, MURAT
CIKAN1, DERYA BETUL UNSAL CELIMLI1
1
Cumhuriyet University, Turkey
ABSTRACT
In previous works, we have successively proposed a calculation method based on modified
artificial bee colony algorithm (MABC) to perform characteristic parameters of the
fabricated electronic device from its current-voltage (I-V) characteristics. Different from
these studies, now we have tried the parameter extraction method based artificial bee
colony algorithm on the capacitance-voltage (C-V) characteristics. For this purpose, a
metal-semiconductor-Al/p-Si Schottky diode has been produced and measured its
capacitance-voltage (C-V) and current-voltage (I-V) characteristics under dark and room
temperature conditions. From the I-V characteristic of metal-semiconductor-Al/p-Si
Schottky diode, series resistance (Rs) of 8.94 Ω, ideality factor (n) of 1.24 and barrier
height (ϕb) of 0.84 eV are calculated using MABC method. Also, from the C-V
characteristic of metal-semiconductor-Al/p-Si Schottky diode, carrier concentration (Na)
of 2.65x1013 cm-3 and diffusion potential (VD) of 0.61 V have been extracted using
MABC method. These results show that MABC method works successively and flexible
in parameter extraction problem of semiconductor device for both I-V and C-V
characteristics. **Acknowledgement: This work was supported by Scientific Research
Projects Coordination Unit of the Cumhuriyet University (CUBAP) (Project Number: M649). **Corresponding Author: Hülya DOĞAN ([email protected])
KEYWORDS - Schottky diode, artificial bee colony, parameter extraction, metalsemiconductor.
Istanbul, Turkey, May 9-12, 2017
193
International Conference on Advanced Technology & Sciences (ICAT’17)
LEACH AND AHP BASED CLUSTERING ALGORITHM FOR WIRELESS
SENSOR NETWORKS
GOKCE HACIOGLU1, ERHAN SESLI1, VOLKAN GANGAL1, VOLKAN AYDIN1
1
Karadeniz Teknik Universitesi, Turkey
ABSTRACT
— LEACH is a popular clustering algorithm for Wireless Sensor Networks (WSN).
LEACH can be applied with minimum system resources in a distributed manner. The
LEACH algorithm selects cluster heads randomly with a certain probability. The
probability of being cluster head for a node depends on how many times it is selected as a
cluster head. Therefore, remaining energy of nodes in network may not be homogeneous
across the network. The proposed method uses Analytic Hierarchy Process (AHP) to
determine the probability of being elected as cluster head in a distributed manner.
According to simulation results the proposed method can extend network lifetime.
KEYWORDS - Wireless Sensor Networks, LEACH, AHP, Clustering, WSN
Istanbul, Turkey, May 9-12, 2017
194
International Conference on Advanced Technology & Sciences (ICAT’17)
IMPROVEMENT OF AN ELECTROMECHANICAL VALVE EMV SYSTEM
DYNAMIC ANALYSIS AND DETERMINATION OF WORKING LIMITS AT
DIFRENT LIFTINGS
NIDA BIRGUL1
1
Baskent University, Turkey
ABSTRACT
In four-cycle internal combustion engines, the valves control the gas inlet and outlet
events. Electromechanical valve (EMV) systems perform the required valve timing
independently of the crankshaft position. With this feature, EMV systems have a great
potential for increasing engine performance, ensuring optimum fuel consumption and
minimizing emissions. The intent of this study was to improve an EMV system, which has
12V supply potential, and to investigate dynamic performance at different lifting valve
operations and then to determine the support limits of an internal combustion engine.
KEYWORDS - Valve, Electromechanical Valve, Variable, Mechatronics, Internal
Combustion Engines, Solenoid.
Istanbul, Turkey, May 9-12, 2017
195
International Conference on Advanced Technology & Sciences (ICAT’17)
A COMPARISON OF PSO GA AND NELDER MEAD OPTIMIZATION
ALGORITHMS ON BUSBAR TRANSMISSION LINE PARAMETER
EXTRACTION
ZEYNEP HASIRCI1, MEHMET OZTURK1, RIFAT BENVENISTE2, HAYDAR KAYA1,
ISMAIL HAKKI CAVDAR1
1
Karadeniz Technical University, Turkey; 2 Avrasya University, Turkey
ABSTRACT
In the smart grid concept, monitoring energy from the point of production to consumption,
loss-efficiency analysis, and increasing energy quality are some of the main targets. All of
these can exist by integrating communications infrastructure to the traditional grid which
enable to provide data acquisition, protection, and control qualifications. Due to the power
grid is already distributed over a large area, utilization of the existing infrastructure as a
communication medium - power line communication - will be a wise choice. Therefore, it
is necessary to know the behavior of each element in the grid as a communication
medium. Transmission line characteristics of cables are a well-established subject with the
help of recent power line communication studies. On the other hand, busbar distribution
systems which are used to carry electrical energy as a part of low voltage grid have
differed from cables at installation requirements, physical and electrical properties. Thus,
modeling busbar distribution system as a transmission line is a necessity for the sake of
completeness in this research area. At this point, the modeling approach is a powerful
method to obtain the primary line parameters of a transmission line by using an
optimization algorithm according to some objective functions that utilize measurements
such as S-parameters. In this study, Nelder-Mead, genetic and particle swarm optimization
algorithms which are commonly preferred methods in the literature are compared for the
aspect of obtaining accurate busbar transmission line parameters in 1-50 MHz frequency
band. The comparisons are conducted under same conditions such as parameter search
range and objective function definition at the point of convergence rate, runtime, number
of iterations, and the number of function evaluations. According to the numerical results,
particle swarm optimization method is the most efficient algorithm for the extraction of
busbar transmission line parameters.
KEYWORDS - Busbar, genetic algorithm, Nelder-Mead simplex, particle swarm
optimization, parameter extraction, power line communication, smart grid, S-parameters,
transmission line modelling
Istanbul, Turkey, May 9-12, 2017
196
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARATIVE PERFORMANCE EVALUATION OF MULTI SOGI PLL FOR
MINIMUM SETTLING TIME AND LOW UNIT VECTOR DISTORTION UNDER
DISTORTED CONDITIONS
TUGCE DEMIRDELEN1, TAYLAN OZDEMIR2, MEHMET TUMAY1
1
Adana Science and Technology University, Turkey; 2 Cukurova University, Turkey
ABSTRACT
Phase-locked loops (PLLs) are necessary in grid connected systems to obtain information
about the frequency, amplitude and phase of the grid voltage. Inverter systems rely on
accurate and fast detection of the phase angle, the amplitude and the frequency of the
utility voltage to guarantee the correct generation of the reference signals. This is also
required by the relevant industrial standards affecting distributed generation systems.
Recently, several advanced phase-locked loop (PLL) techniques have been proposed for
single-phase applications. This paper presents performance investigation a multi phaselocked-loop (PLL) method which generates the orthogonal voltage system using a
structure based on a second order generalized integrator (SOGI). The advantages of this
PLL include simple implementation independent of the grid frequency and avoidance of
filtering delays due to its resonance at the fundamental frequency. The solutions for the
discrete implementation of the structure generating the orthogonal system are presented.
Simulation results validate the effectiveness of the proposed method under distorted
conditions by comparing Dual-SOGI and SOGI PLLs performances.
KEYWORDS - Phase lock loop, SOGI-PLL, PSCAD, second order generalized integrator,
simulation
Istanbul, Turkey, May 9-12, 2017
197
International Conference on Advanced Technology & Sciences (ICAT’17)
SLOW LIGHT IN PHOTONIC CRYSTAL WAVEGUIDE
MAACHE MOHSSIN1, HOCINI ABDESSELAM1, KHEDROUCHE DJAMEL1
1
Mohamed Boudiaf University M Sila, Algeria
ABSTRACT
Recently, slow light with low group velocity attracted wide attention because it is regarded
as a promising technology for future all-optical communication networks. It can be used
for the enhancement of light-matter interaction it also offers the possibility for
miniaturization sensors with high sensitivity, slow light occurs due to large first order
dispersion arising from the resonance of light with a material or structure. Photonic crystal
waveguide is especially attractive for generating slow light in wideband with high group
index and low group velocity dispersion. Slow light in photonic crystal waveguides can be
used for a wide range of applications, such as delay lines or buffersand enhanced lightmatter interaction. In our work, we had manipulated the geometry of a modified photonic
crystal waveguide for generating a slow light focusing on reducing the unwanted
dispersion by engineering the dispersion curve with the aim of achieving a constant group
index over a broad wavelength range, the modified photonic crystal is optimized through
simulation performed by a 2-D PWE method of the RSoft software.
KEYWORDS - Slow light, Photonic crystal, Waveguide
Istanbul, Turkey, May 9-12, 2017
198
International Conference on Advanced Technology & Sciences (ICAT’17)
MOVE YOUR WHEELCHAIR WITH YOUR EYES
GOKCEN CETINEL1, ZAFER TIRYAKI1, ENES KUZU1, MELTEM
MIILIGUNEY1, SEVDA GUL1
1
Sakarya University, Turkey
ABSTRACT
In the proposed study, our goal is to move paralyzed people with their eyes. For this
purpose, we use their Electrooculogram (EOG) signals obtained from EOG goggles
completely designed by the authors. Through designed EOG goggles, vertical-horizontal
eye movements and voluntary blink detection are verified by using 5 Ag-AgCl electrodes
located around the eyes. EOG signals utilized to control wheelchair motion by applying
signal processing techniques. The main steps of signal processing phase are preprocessing,
maximum-minimum value detection and classification, respectively. At first,
preprocessing step is used to amplify and smooth EOG signals. In maximum-minimum
value detection we obtain maximum and minimum voltage levels of the eye movements.
Furthermore, we determine the peak time of blink to distinguish voluntary blinks from
involuntary blinks. Finally, at classification step k-Nearest Neighboring (k-NN) technique
is applied to separate eye movement signals from each other. Several computer
simulations are performed to show the effectiveness of the proposed EOG based
wheelchair control system. According to the results, proposed system can communicate
paralyzed people with their wheelchair and by this way they will be able to move by their
selves.
KEYWORDS - Electrooculugram, Signal Processing, Classification, Control
Istanbul, Turkey, May 9-12, 2017
199
International Conference on Advanced Technology & Sciences (ICAT’17)
ELECTROMAGNETIC DESIGN OF LINE START AXIAL FLUX PERMANENT
MAGNET SYNCHRONOUS MOTORS
MUSTAFA EKER1, MEHMET AKAR1
1
Gaziosmapasa University, Turkey
ABSTRACT
Compared to other motors, the power, the moment, and the efficiency produced by the unit
volume in the axial-flux permanent magnet synchronous motors is higher. Additionally it
also has the advantages such as using different stator and rotor topologies and the air gap
is planar and adjustable. For this reason, this issue is one of the most studied topics by the
motor manufacturers and scientists in recent years. However, these motors cannot be
connected directly to the network and high-performance drive is required for operating. In
the presented study, with the novel rotor structure the axial flux permanent magnet
synchronous motor which can be directly connected to the network is designed and the
obtained results are presented.
KEYWORDS - Line start, axial flux PMSM, electromagnetic design
Istanbul, Turkey, May 9-12, 2017
200
International Conference on Advanced Technology & Sciences (ICAT’17)
WIRELESS POWER TRANSFER VIA AIR GAP TRANSFORMER
MUSTAFA OZSOY1, ZAFER DOGAN1
1
Gaziosmanpasa University, Turkey
ABSTRACT
Wireless power transfer systems have become more widespread in recent years. In this
study wireless power system structure is researched. And electromagnetic analysis of
fundamental system is analyzed by FEM. In wireless power transmission systems (WPT),
spiral shaped coils are commonly used. At this method two coils can be used. One of them
works as a transmitter and the other works as a receiver coil. In this study, unlike this
extensive method, a transformer approach is been implemented. Therefore transmitter and
receiver coils are applied to primary and secondary windings. Core structure is divided
into two parts. One of the parts is used as a transmitter side core and the other is
considered as a receiver side core. Steel laminations are used as a core material. In
addition to that, at WPT systems with a high frequency signals is needed for higher
efficiencies. So, to realize that ferrite core which provides higher frequency range than
steel core, is been applied to the design too. As a side effect of higher frequency, skin
effect that can be come across at primary and secondary windings. Therefore these
situations considered, and conducting materials has been chosen according to that. Primary
and secondary side cores’ geometric shapes determined and conductors applied to this
cores by entering number of turns. Analyzes are done at different distances and input
output powers are obtained at no-load and full-load states. According to that, efficiency up
to 20% is achieved. Distance arranged different values up to a 100 mm. At the beginning
an input signal arranged to a 220 V 50 Hz, after that this values arranged different values,
and results are obtained. When input signal arranged to Turkey’s network values, at 5mm
distance, about 145W transfer obtained. For more efficient transfer, at the external circuit
passive circuit elements can be applied. At the suggested method, proposed design is a
new approach for wireless power transmission.
KEYWORDS - Wireless power transfer, transformer, Air core
Istanbul, Turkey, May 9-12, 2017
201
International Conference on Advanced Technology & Sciences (ICAT’17)
I V AND C V CHARACTERISTICS OF P SI NZNO NRS PHOTODIODES
DEPOSITED BY MW CBD
YASEMIN CAGLAR1, KAMURAN GORGUN2, MUJDAT CAGLAR1, SALIHA
ILICAN1
1
Anadolu University, Turkey; 2 Eskisehir Osmangazi Univeristy, Turkey
ABSTRACT
In modern materials science, nanostructured ZnO films are versatile material to make in
numerous novel applications, owing to their several unique features, including the wide
band gap (3.37 eV), good transparency and electrical conductivity, excellent electron
mobility, and low thermal expansion. So, they have been extensively studied and applied
in many applications, such as sensors, light-emitting diodes, thin film transistors,
photodetectors and solar cells. Microwave-assisted chemical bath deposition (MW-CBD)
was used to deposit zinc oxide nanorods (ZnO-NRs) films by using different microwave
irradiation time (5, 8 and 10 min). The films exhibit a good crystallinity having a
hexagonal wurtzite phase formation. An increase in the microwave irradiation time
improved the structural quality of ZnO-NRs. ZnO-NRs which grew perpendicular to the
surface were detected by field emission scanning electron microscope (FESEM) and it was
identified the effect of microwave irradiation time on the densities and orientations of
nanorods. The p-Si/n-ZnO-NRs heterojunction photodiodes were fabricated. The currentvoltage (I-V) and capacitance-voltage (C-V) measurements were taken with KEITHLEY
4200SCS and SIGNATONE Probe Station. The intensity of illumination measurements
was carried out using a solar simulator (SCIENCETECH). The I-V of these photodiodes
were investigated under dark and different illumination intensity. An increase in the
reverse current with increasing illumination intensity confirmed that the fabricated
photodiodes exhibited a photoconducting behavior. The diode parameters of the
photodiodes determined using different methods. In addition, the existence of interface
states and series resistance values of the photodiodes were determined from C-V
measurements. The obtained all results suggest that the p-Si/n-ZnO-NRs photodiodes can
be used as a sensor in the optoelectronic applications. Acknowledgement: This work was
supported by Anadolu University Commission of Scientific Research Project under Grant
No: 1402F055.
KEYWORDS - ZnO, nanorod, MW-CBD, photodiode, Norde function.
Istanbul, Turkey, May 9-12, 2017
202
International Conference on Advanced Technology & Sciences (ICAT’17)
EFFECT OF MN DOPANT ON THE STRUCTURAL AND MORPHOLOGICAL
PROPERTIES OF ZNO FILMS BY SPIN COATING
SALIHA ILICAN1, YASEMIN CAGLAR1, MUJDAT CAGLAR1
1
Anadolu University, Turkey
ABSTRACT
ZnO films have attracted a great interest due to their unique properties and potential
applications in optical devices such as blue, violet and UV- light emitting diodes (LEDs)
and laser diodes (LDs). The pure or doped ZnO films can be deposited by several
methods. The sol gel method is one of the most commonly used method for preparation of
transparent and conducting oxides owing to its simplicity, safety, non-vacuum system of
deposition and hence inexpensive method for large area coatings. In this work, undoped
and manganese doped ZnO films have been prepared onto n-Si substrate by facile sol gel
method using spin coating technique. The precursor sol was spin coated with a speed of
3000 rpm for 30 s onto the n-Si. Then the films were dried at 300 oC for 10 min. This
coating/drying procedure was repeated for ten times before the film was inserted into a
tube furnace and annealed at 700 oC in air for 2 h. The effects of Mn doping level on the
structural, morphological and optical properties of Mn doped ZnO films were investigated
by means of XRD, FESEM and UV spectrophotemeter, respectively. XRD analysis
revealed that the films are polycrystalline in nature and consist of single phase ZnO
(zincite phase) with wurtzite structure. The crystallinity was changed with increasing Mn
concentration. The structural parameters are determined. The diffuse reflectance spectra of
the Mn doped ZnO films deposited on n-Si substrate were measured and the optical band
gaps of them were determined using the reflectance spectra by means of Kubelka-Munk
function.
KEYWORDS - Mn doped ZnO, Sol gel, Microstructure, Structural parameters, KubelkaMunk function
Istanbul, Turkey, May 9-12, 2017
203
International Conference on Advanced Technology & Sciences (ICAT’17)
COMPARATIVE STUDY ON THE STRUCTURAL MICROSTRUCTURAL AND
OPTICAL CHARACTERISTICS OF DIFFERENT DOPED ZNO
NANOPOWDERS BY MW HTS
MUJDAT CAGLAR1, KAMURAN GORGUN2, SEVAL AKSOY3, SALIHA
ILICAN1, YASEMIN CAGLAR1
1
Anadolu University, Turkey; 2 Eskisehir Osmangazi University, Turkey; 3 Sinop
University, Turkey
ABSTRACT
Nanosized particles of semiconductor materials have gained much more interest in recent
years due to their desirable properties and applications in different areas. ZnO is n-type
semiconductor with wide band gap of 3.37 eV and large exciton binding energy of 60 meV
at room temperature. Undoped and doped ZnO can be deposited using various techniques.
The microwave assisted hydrothermal synthesis (MW-HTS) is one of the most important
methods to prepare the nanopowder due to simple and cost effective technique. Compared
with conventional methods, microwave irradiation requires very short reaction times,
produces small inorganic particles with narrow particle size distributions, and consumes
low energy. In this study, undoped and different doped (Iron (Fe), Copper (Cu) and
Magnesium (Mg); 1%) ZnO nanopowders were synthesized via MW-HTS. The effect of
Fe, Cu and Mg content on the structural, morphological and optical properties of ZnO
nanopowders was investigated. To investigate the crystalline structure and the orientation
of the ZnO nanopowders, XRD patterns were used. All of the nanopowders have
polycrystalline in nature with (101) orientation. The lattice parameters and texture
coefficient values of the nanopowders were determined. Field emission scanning electron
microscope (FESEM) was used to analyze the surface morphology of all the ZnO
nanopowders. The molecular bonding characterization of these nanopowders was also
determined by Fourier transform infrared spectroscopy. Acknowledgement: This work was
supported by Anadolu University Commission of Scientific Research Project under Grant
No. 1605F411.
KEYWORDS - Doped ZnO, Nanopowder, MW-HTS, FTIR.
Istanbul, Turkey, May 9-12, 2017
204
International Conference on Advanced Technology & Sciences (ICAT’17)
MEASUREMENT OF ENERGY CONSUMPTION OF WSN FOR INDOOR
ENVIRONMENT
SEYMA AYMAZ1, GOKCE HACIOGLU1
1
Karadeniz Technical University, Turkey
ABSTRACT
The energy consumption of indoor Wireless Sensor Networks (WSN) were measured. Ti
CC2538 modules were used as WSN nodes and they were programmed via Contiki OS.
Measurements were taken directly from the module via Labview and DAQ card. The
network used Low Energy Adaptive Clustering Hierarchy (Leach) protocol which is a very
popular networking protocol for WSN. The nodes in the network were prevented to go in
sleep mode. Therefore measurements showed transmit and receive mode energy
consumption. On the other hand cluster head election period and transmission period of
sensed data selected as short as possible to make measurements in a short time. The
proposed measurement system can be used evaluate any new networking protocol more
realistically.
KEYWORDS - ENERGY CONSUMPTION, WSN, CONTIKI, COOJA, LEACH
Istanbul, Turkey, May 9-12, 2017
205
International Conference on Advanced Technology & Sciences (ICAT’17)
MULTILAYER PLASMONIC ABSORBER BASED METAMATERIAL FOR
REFRACTIVE INDEX SENSING AND SURFACE ENHANCED SPECTROSCOPY
APPLICATIONS
ERDEM ASLAN1, EKIN ASLAN1, OMER GALIP SARACOGLU1, MUSTAFA
TURKMEN1
1
Erciyes University, Turkey
ABSTRACT
Metamaterial plasmonic absorbers have promising properties to be used in biomolecular
sensing applications such as refractometric biosensing and surface enhanced spectroscopy.
Although their inherent advantages, novel plasmonic perfect absorbers with additional
features are highly essential for real-world sensing applications. In this context, we present
the design and characterization of a subwavelength plasmonic absorber array with crucial
properties including the multi-band absorption, high near-field enhancement, large number
of hot-spots and high sensitivity. We reveal the optical characteristics of the structure via
finite difference time domain simulations. In order to investigate the physical origin of
absorption resonances we investigate near-field properties of the structure. For the purpose
of exploring the sensor-potential of the proposed structure, we study on the refractive
index sensing performance. Finally, we show the utilization of the proposed device in
surface enhanced spectroscopy applications through simulations and present the results for
the detection of the vibrational mode of a thin absorbing film. The results show that the
proposed device can be utilized in the plasmonic sensing applications.
KEYWORDS - Plasmonics, sensors, subwavelength structures, nanostructures, surface
enhanced spectroscopy.
Istanbul, Turkey, May 9-12, 2017
206
International Conference on Advanced Technology & Sciences (ICAT’17)
REVIEW OF REDUCTION AND SIMPLIFICATION METHODS FOR
TRANSMISSION NETWORKS
ALI AJDER1, KADIR DOGANSAHIN1, SELIM AY1
1
Yildiz Technical University, Turkey
ABSTRACT
The increasing penetration of renewable energy sources, integration of decentralized
generation and emerging different consumption profiles on demand-side expand the
complexity of operation and control of power systems. Besides, the raising economic
concerns and competition in the market have begun play an important role in the
development of power systems, as efficiency trend, generation portfolio management. For
these reasons, the analysis used in system design and planning become more complex,
detailed and precise than ever. Transmission systems are the backbone of the power
systems, where essential analysis are performed, such as economic dispatch, power flow
analysis, contingency analysis. These analysis come with very high computational efforts
for large power systems. There are proposed approaches in the literature for simplifying
large scale transmission systems into reduced systems, so the analysis as well. These
approaches are titled as reduction and simplification methods. These methods differentiate
from each other, according to their accuracies and computational efforts, in the scope of
applicability to the studies, which can be dynamic, steady-state or economic analysis. In
this study, these methods are reviewed, discussed and compared with each other. The
purpose of the study is to present a brief knowledge and guidance about reduction and
simplification methods.
KEYWORDS - Model reduction, System modeling, Transmission lines
Istanbul, Turkey, May 9-12, 2017
207
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND APPLICATION OF PRINTED CIRCUIT TRANSFER MACHINE
MEHMET RAHMI CANAL1, MEVLUT AHMET HAS2, FECIR DURAN1, MERAL
OZARSLAN YATAK1
1
Gazi University, Turkey; 2 Selcuk University, Turkey
ABSTRACT
In this study, an application of a microcontroller controlled printed circuit transfer
machine is presented. This study aimed to speed, simplify and lower faults while
preparation of printed circuit. This machine can be used in laboratory of vocational
schools, public training courses, people try with hobb, people try with hobby electronics
and firms study on research and application. The production of the circuit is easy and fast
with minimum cost and minimum fault in a short duration. The system control was
realized with PIC16F877 for easy programming and low cost. The software was done with
PICC. This machine contains two stages as mechanical and electrical stages. As a result, a
user friendly transfer machine was implemented with a low cost usable microcontroller
with debugged process and high speed.
KEYWORDS - PRINTED CIRCUIT TRANSFER MACHINE, microcontroller
Istanbul, Turkey, May 9-12, 2017
208
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINATION AND ANALYSIS OF ELECTRIC FIELD STRENGTH
LEVELS IN SAMSUN CITY CENTER
CETIN KURNAZ1, BEGUM KORUNUR ENGIZ1
1
Ondokuz Mayis University, Turkey
ABSTRACT
In this study, in order to examine and evaluate the change of electromagnetic radiation
(EMR), electric field strengths (E) were measured at eight different times in Samsun,
Turkey. The short term measurements were collected from 67 different locations using
PMM-8053 EMR meter. In the measurements, the maximum electric field strength (Emax)
and the average electric field strength (Eavg) were recorded. The short term measurement
results show that the E originating from the base stations change significantly depending
on the measurement location and time, the highest Emax is 6.32 V/m and the highest Eavg
is 3.82 V/m. The mean Eavg in 2017 has increased by 24% compared to that of 2014. In
order to observe Es within a day; long term (24 hour) E measurement was conducted at the
location where the highest Eavg value was recorded. The maximum recorded E is 3.75
V/m, the mean E is 2.76 V/m while the standard deviation is 0.40 V/m for long term
measurement. Analysis of 24 hour measurement results for four specific time interval such
as morning, afternoon, evening and night show that the mean E value for morning is 2.53
V/m, while 3.03 V/m, 3.04 V/m and 2.42 V/m for afternoon, evening and night
respectively. Evening E level increases by 25.6 % compared to night E level. At the end of
the study daily variations of E value was examined and an empirical model were proposed
using curve fitting method. With the use of this model the E in the medium can be
predicted with an accuracy of 90%.
KEYWORDS - Electric field strength; Electromagnetic (EM) measurement; EM pollution;
Base station; Statistical analysis.
Istanbul, Turkey, May 9-12, 2017
209
International Conference on Advanced Technology & Sciences (ICAT’17)
ILLUMINANT DIRECTION ESTIMATION METHODS
ABDULLAH TAHA ARSLAN1, EROL SEKE1
1
Eskisehir Osmangazi University, Turkey
ABSTRACT
Estimation of light sources and illumination conditions in digital images is an essential
part of many image processing applications. This is particularly important in 3D face
reconstruction from one or more face images. The literature provides several established
methods to recover a single lighting vector. Problem is reduced into two parts as the tilt
and slant angles of the illuminant, in general. In this paper, we provide an experimental
analysis of the common methods and shown that given algorithms predict the former at a
high success rate while this is not the case for the latter. Outcomes of the conducted
experiments are discussed and methods for improvements are proposed.
KEYWORDS - illuminant direction estimation, shape from shading, surface reconstructing
Istanbul, Turkey, May 9-12, 2017
210
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGNING A 2 D PAINTING ROBOT
HUSEYIN DEDE1, HUSEYIN EMRE GUNER1, KADIR ERGUNER1, BEKIR
KARATAS1, OMER AKBAS1, H METIN ERTUNC1
1
Kocaeli University, Turkey
ABSTRACT
Today, 2-D painting robots are the new technological products in industry. Many
technological companies produced and developed these systems for industrial applications
and home users. The 2D painting robot is a computer-aided painting robot that paints a
two-dimensional surface due to the direction of the users. The aim of this project is that to
transfer real images to the computer and two dimensional painting on a A4 paper. Firstly,
painting surface is scanned using basic image processing algorithms and transferred to the
computer. Then, picture on the surface is analyzed using image processing algorithms.
Picture coordinates is obtained and a graphical user interface program shows the
coordinates of the pictures and movements of the motors to the users. After that picture
will be painted to paper using the H-bot mechanical system. Electronic system is designed
and controlled using Arduino environment. There are many industrial systems are in the
market. Many commercial products are so expensive and painting just one color. The
difference of this system than the others is that this system will be more accurate low cost
to manufacture and painting three separate color.
KEYWORDS - Painting robot, Arduino, 2-D
Istanbul, Turkey, May 9-12, 2017
211
International Conference on Advanced Technology & Sciences (ICAT’17)
A NEW MODEL FOR MEASURING DIMENSIONAL ACCURACY BRIDGING
AND OVERHANG PERFORMANCE OF FDM 3D PRINTERS
SERDAR KUCUK1, NURETTIN GUNES1
1
Kocaeli University, Turkey
ABSTRACT
In recent years, FDM-based 3D printers has been increasingly used in the industry. At the
beginning, 3D printer technology was used in prototype and mold production. However
ongoing years this technology has started to be used for final product manufacturing. With
the help of 3D printers, manufacturing cost of the some end-products significantly
decreased. The all production process for 3D printers is completed according to the files
created on the computer. This significantly decreased the manufacturing cost of the some
end-products. This new technology also results in emerging different models for
measuring the performance of raw materials used in FDM 3D printers. In this paper, a new
model is proposed to measure the dimensional accuracy, bridging and overhang
performance of 3D printers.
KEYWORDS - Benchmarking object; bridging performance; dimensional accuracy;
overhang performance; additive manufacturing; fused deposition modeling; 3d printer;
Istanbul, Turkey, May 9-12, 2017
212
International Conference on Advanced Technology & Sciences (ICAT’17)
EVALUATING THE PERFORMANCE OF DELTA TYPE 3D PRINTER
CONSIDERING THE INTERNATIONAL TOLERANCE VALUE
SERDAR KUCUK1, NURETTIN GUNES1
1
Kocaeli University, Turkey
ABSTRACT
Nowadays 3D Printers are extensively used in many fields of industry. It has become
popular as a new production model. Several different models of 3D printers have been
developed in a very short time. Today 80% of 3D printers are manufactured in Cartesian
type. The other 3D printers are manufactured in Delta and SCARA and Polar types. These
3D printers are more sophisticated and experimental than the Cartesian. In this study, a
Delta type is developed and the performance of this Delta type 3D printer is evaluated by
considering the IT (international tolerance) value. The developed 3D printer is also
compared with previous research results.
KEYWORDS - 3D Delta Printer; performance; international tolerance;
Istanbul, Turkey, May 9-12, 2017
213
International Conference on Advanced Technology & Sciences (ICAT’17)
AN EASY TO USE JOYSTICK CONTROLLER DESIGN FOR INDUSTRIAL
ROBOTS
SINAN OZCAN1, MUSTAFA COBAN1, GOKHAN GELEN1
1
Bursa Technical University, Turkey;
ABSTRACT
Industrial robots are widely used in manufacturing systems to perform various tasks.
Robots have a control box named as teach pendant that is used to programming robot
motions and moving robot to desired positions. The robot can be set to teach mode and the
current position can be got by teach pendant. The movement of robot is provided by using
the keys on the teach pendant. It is not easy to perform a robot by using keys. It requires
expertness. This paper proposes to design a 3-axis joystick to manipulate the robot instead
of teach pendant. A 3-axis Joystick with button, an Arduino Uno and an ethernet shield are
used. The Ethernet protocol is used to connection between the joystick and the robot
controller. The obtained joystick controller manipulates the robot into three axes and
provides gripper control. The manipulation of a robot via 3D joystick is easier than by
using teach pendant.
KEYWORDS - Industrial Robots, Control, Teach pendant, joystick, Controller Design
Istanbul, Turkey, May 9-12, 2017
214
International Conference on Advanced Technology & Sciences (ICAT’17)
ROBOT COLLISION AVOIDANCE CONTROL AND MANAGEMENT METHOD
FOR INDUSTRIAL ROBOTS IN AUTOMOTIVE INDUSTRY
CENGIZ DENIZ1, MUSTAFA CAKIR2
1
Ford Otosan, Turkey; 2 University of Kocaeli, Turkey
ABSTRACT
In this study, a newly developed robot collision avoidance control and management
method using kinematic equations is presented for industrial robots in the automotive
industry. Industrial robot collision control and management is one of the most significant
points in multi-robot production cell in all of the automotive industry. If robot collisions
are not configured with the right methodology, then they can impact production cycletimes, cause robot crashes and breakdowns, spare part consumption and even result in
severe injuries. Typically, two types of methods are used for industrial robot collisions
programming; the first method is offline programming before robot installation and the
second method is online programming during robot commissioning. However, these two
methods are not the exact solution for robot collision control and management for multirobot production cells. We proposed a new collision management method for modelling
robot kinematic on the PLC (programming logic controller) by getting all axis positions
data from all robots in multi-robot production cell and then calculating the actual dynamic
TCP (tool center point) for each robot. This method makes it possible PLC to know all
robots’ actual and auxiliary TCP positions on the robot body and create dynamic work
space zones to manage all robot collisions in the same cell. Using proposed methodology,
it is possible to improve production cycle time, efficiency, breakdowns of robot and safety
functions in multi robot production cells.
KEYWORDS - Industrial Robot, Collision Avoidance, Multi-Robot Production Cell,
Robot Kinematic, Automotive Industry and PLC System.
Istanbul, Turkey, May 9-12, 2017
215
International Conference on Advanced Technology & Sciences (ICAT’17)
INFLUENCES OF ROTOR SLOT DISTANCE ON THE PERFORMANCE OF
SINGLE PHASE INDUCTION MOTOR
AHMET FENERCIOGLU1, MERVE SEN KURT1
1
Amasya University, Turkey
ABSTRACT
In this paper, several single phase induction motors which have different rotor slot
distances are analyzed with 2-D Finite Element Method (FEM). All of the models have
same stator and rotor slot geometry only difference between models are their rotor slot
distance from the rotor core. In analysis, a single phase, 2 pole, 96 W, 220 V with
capacitor start-capacitor run induction motor was used. For each rotor slot model,
electrical performance characteristic included speed, efficiency, current, torque and power
factor (PF), the distribution of the magnetic field density on different location on motors
and current density on all of the rotor slot were examined.
KEYWORDS - Finite element method (FEM), Single phase induction motor (SPIM), rotor
slot distance
Istanbul, Turkey, May 9-12, 2017
216
International Conference on Advanced Technology & Sciences (ICAT’17)
MULTI OBJECTIVE H2 HINFINITY CONTROL OF BLADE VIBRATIONS
USING PIEZOELECTRIC ACTUATOR
FEVZI CAKMAK BOLAT1, SELIM SIVRIOGLU1
1
Gebze Technical University, Turkey
ABSTRACT
The aim of the study is to suppress the vibration modes of a blade element with attached
piezoelectric actuator using robust multi-objective control. A modal analysis of the blade
is realized and natural frequencies of the blade are derived analytically, numerically and
experimentally. The analytical model of the blade element for control design is obtained
by using the Euler-Bernoulli beam theory. In a control system, different control
specifications should be satisfied at the same time. Norm based linear control approaches
have some distinct advantages. While Hinfinity control mainly enforces the robust
stability, H2 control improves the transient behavior of the control system. The multiobjective H2/Hinfinity control combines both design objectives. It is an advantage that
both frequency and time domain specifications are performed in vibration control of the
distributed parameter systems. In this paper, three different H2/Hinfinity controllers are
designed by introducing a multiplicative uncertainty which represents unmodeled highfrequency dynamics in the control system. The designed controllers are realized in
experiments and performances of the controllers are compared using frequency and time
domain responses.
KEYWORDS - Blade vibration, multi-objective control, robust control, piezoelectric
actuator
Istanbul, Turkey, May 9-12, 2017
217
International Conference on Advanced Technology & Sciences (ICAT’17)
DETERMINATION OF WEIGHT COEFFICIENTS USING FUZZY LOGIC IN
WEIGHTED 3D DISCRETE WAVELET TRANSFORM
GUZIN OZMEN1, BURAK YILMAZ2, SERAL OZSEN1
1
Selcuk University, Turkey; 2 Konya Food And Agriculture University, Turkey
ABSTRACT
In this study, a new method for determining the coefficients of weighted 3D discrete
wavelet transform (w-3D-DWT) by using fuzzy logic is proposed. The method generates a
set of coefficients for each sub-band of the 3D-DWT. The fuzzy inference model uses
energy, entropy, and standard deviation values of each sub-band as inputs and generates
coefficients as output. Fuzzy membership functions and rules are determined by analysis
and experiments performed on Brainweb MRI image database. Experiments are evaluated
with MSE, PSNR and SSIM. It was observed that using fuzzy logic inference system
improved the results obtained by w-3D-DWT.
KEYWORDS - Weighted 3D DWT, Fuzzy Logic, 3D MRI, weighted -3D-DW
Istanbul, Turkey, May 9-12, 2017
218
International Conference on Advanced Technology & Sciences (ICAT’17)
DUAL BAND PERFECT ABSORBER FOR BIO SENSING APPLICATIONS
WITH CARDINAL POINT STAR SHAPED NANOPARTICLES
AYTAC ONUR1, MUSTAFA TURKMEN1
1
Erciyes University, Turkey
ABSTRACT
In this study, a novel perfect absorber (PA) array based on cardinal point star-shaped gold
nanoparticles for infrared sensing applications is presented. Proposed PA array has a dualband spectral response and the locations of resonances can be adjusted by varying the
geometrical dimensions of the structure. Nearly unity absorbance is obtained from the PA
array for both resonances. Absorbance characteristics of PA array are analyzed by using
finite difference time domain (FDTD) method. High near-field enhancement is achieved
by the interaction of the sharp corners of triangular nanoparticles. Due to the nearly unity
absorbance and high near-field enhancements the proposed dual-band PA array with
adjustable spectral responses can be useful for bio-sensing applications in mid-infrared
regime.
KEYWORDS - Perfect absorber, bio-sensing, nanoparticle, plasmonics, Mid-infrared
rejime
Istanbul, Turkey, May 9-12, 2017
219
International Conference on Advanced Technology & Sciences (ICAT’17)
DESIGN AND DEVELOPMENT OF A BIOTELEMETRY SYSTEM FOR
MONITORING BEDRIDDEN PATIENTS
ILKAY TASLI1, ILKER ALI OZKAN1
1
Selcuk University, Turkey
ABSTRACT
Today, the popularity of mobile and object internet sites has increased with the
development of technology. These developments have facilitated the use and construction
of biotelemetry systems. At this point, the patient can be traced from his home by the
biotelemetry system designed, instead of constantly going to and from the hospital. With
the help of the sensors on the system, the desired values are obtained about the patients
and transferred to the necessary individuals. It is important for nurses and doctors to have
access to patient-related information on an ongoing basis. In this study, an Arduino based
Patient Tracking System was developed for the online monitoring and storage of data
related to patients in need of care. With the developed system, the data received by the
sensors can be monitored in any environment and at any time through an internet
connection. The data belonging to the patient can be instantly evaluated and recorded with
the use of an Android based software. The designed system also has the feasibility to
report and graphically examine the recorded data for the purpose of analyzing the state of
the disease.
KEYWORDS - Patient monitoring, Biotelemetry, Remote monitoring, Healthcare at home
Istanbul, Turkey, May 9-12, 2017
220
International Conference on Advanced Technology & Sciences (ICAT’17)
WEB BASED FUZZY EXPERT SYSTEM DESIGN FOR DETECTION OF
RHEUMATOID ARTHRITIS DISEASE SEVERITY
FATIH TARAKCI1, ILKER ALI OZKAN1, SEMA YILMAZ1
1
Selcuk University, Turkey
ABSTRACT
Rheumatoid Arthritis (RA) disease is an inflammatory disease that can be seen in many
joints at the same time as a chronic illness and of which etiology is unknown and clinical
course of the disease varies from patient to patient. Knowing the severity of RA disease is
very important for the treatment to be carried out. While determining the severity of
disease in RA, clinical laboratory findings are very important as well as anamnesis. In this
study, a fuzzy expert system has been designed to determine the severity of RA disease,
using the laboratory test results of CRP, Sedim, Rheumatoid Factor (RF), and Antinuclear
Antibodies (ANA). The input variables of the designed system, linguistic expressions, and
its rule base have been determined with the aid of a specialist, and a web based software
has been realized to determine the RA disease severity.
KEYWORDS - Rheumatoid Arthritis, Disease Severity, Fuzzy Expert System, Disease
Diagnosis
Istanbul, Turkey, May 9-12, 2017
221
International Conference on Advanced Technology & Sciences (ICAT’17)
SEMI AUTOMATIC DETECTION OF STOMACH CANCER BY REGIONAL
SEGMENTATION METHODS
ALI YASAR1, ISMAIL SARITAS1
1
Selcuk University, Turkey
ABSTRACT
Stomach cancer is the third cancer type in females and second cancer type in males
according to mortality rates. Cancer is the leading cause of death worldwide, creating 8.8
million deaths in 2015. The four most common causes of cancer death are stomach cancer.
Approximately 754,000 people die from stomach cancer every year in the whole world.
The importance of image processing and its use is increasing day by day in today's
medical world. An important step in image processing is the segmentation process.
Diagnosis of stomach cancer can not be performed fully automatically because of the
complicated structure of the stomach. The aim of this study is to study locally for the
presence of the cancerous zone and to suggest a cancerous area using statistical methods in
the determined region. Segmentation will be done by Region Growing and Statistical
Region Merging methods in the region determined by the proposed model and the results
will be obtained by comparing the accuracy of the cancerous zone found in the study with
the zone determined by the specialist doctor.
KEYWORDS - Stamach Cancer, REGIONAL SEGMENTATION METHODS, SEMIAUTOMATIC DETECTION
Istanbul, Turkey, May 9-12, 2017
222
International Conference on Advanced Technology & Sciences (ICAT’17)
MEASUREMENT OF THE OPTICAL PENETRATION DEPTH IN CHICKEN
BREAST TISSUE
YASAR BARIS DOLUGAN1 , HALIL ARSLAN1 , MUSTAFA ZAHID YILDIZ1 , AYLA
EREN OZDEMIR1 , ALI FURKAN KAMANLI1 , AYSE NUR AY1
1
Sakarya University, Turkey
ABSTRACT
Photodynamic therapy (PDT) is a cancer treatment requiring a photosensitizing molecule
(drug) and a light source to activate the drug. In PDT, the optical energy received by the
tumorous tissue is crucial for successful treatment. Therefore, penetration depth of the
light in the target tissue is an important parameter for dosimetry calculations. In this study,
the penetration depths of LED light with the wavelengths of 635 nm and 660 nm in
chicken breast tissue have been measured. For this purpose, 13 tissue samples with
different thicknesses between 2.2 mm and 8.2 mm have been prepared. Collimated
transmittances through the samples have been analyzed using Beer-Lambert law to obtain
the penetration depths. It has been found that the optical penetration depths for chicken
breast tissue at 635 nm and 660 nm are 7.1±0.4 mm and 7.6±0.5 mm, respectively.
KEYWORDS - PDT, Optical property, Penetration depth
Istanbul, Turkey, May 9-12, 2017
223
International Conference on Advanced Technology & Sciences (ICAT’17)
THE EVALUATION OF TOTAL OXIDANT AND ANTIOXIDANT LEVELS IN
INACTIVE HEPATITIS B PATIENTS WITH DELTA POSITIVE AND
NEGATIVE
ILHAN SABANCILAR1, TUGBA GUR1
1
Health Sciences Institute, Turkey
ABSTRACT
The aim of the present study was to determine the levels of total oxidant and antioxidant in
inactive hepatitis B patients with delta positive and negative. The levels of TAS, TOS and
CRP were detected as the highest, and the level of PON-1 were detected as the lowest in
delta positive patients compared to healthy control and HBsAg positive groups. For the
delta positive and HBsAg positive groups although there were not found statistically
significant (p>0.05) in the activities of TOS, PON-1 and CRP, the levels of TAS, ALT and
AST were found statistically significant (p˂0.05). For the control group and hepatitis B
patients, whereas the levels of TAS and TOS were found statistically significant (p˂0.05);
ALT, AST, PON-1and CRP levels were not found statistically significant (p>0.05). The
patients with hepatitis D and the control group showed statistically value for TOS, ALT
and AST levels (p˂0.05). But the levels of TAS, PON-1 and CRP were not found
significant (p>0.05).
KEYWORDS - HBsAg, Delta positive, TAS, TOS, PON–1, ALT, AST, CRP
Istanbul, Turkey, May 9-12, 2017
224
International Conference on Advanced Technology & Sciences (ICAT’17)
MACROMOLECULAR INVESTIGATION OF INTERMOLECULAR
INTERACTIONS DRIVING THE SELF ASSEMBLY OF COLLAGEN BY DLVO
THEORY
ESMA ERYILMAZ1
1
Selcuk University, Turkey
ABSTRACT
Collagen molecules self-assemble both in vitro and in vivo into structures ranging from
nanoscale to macroscopic length scale with D-periodic spacing. Its self-assembly into
highly organized different level of structures deeply influences a variety of physiological
processes such as cell migration, proliferation, motility, gene expression, and signaling [1,
2, 3]. Due to the comprehensive function of this important physiological event, collagen
self-assembly is extensively used in a variety of biomedical and biotechnological
applications such as tissue engineering [4], cellular processing [5], bio-compatibility
improving, generating templates for nonowire assembly and biofunctionalization of
surfaces [4]. Although both experimental and theoretical understanding of the interaction
forces driving the self-assembly is crucial, most of the studies are experimental. In this
study, we theoretically investigated the main interaction forces accompanying the selfassembly of collagen molecules onto hydrophilic mica surface with the Derjaguin-LandauVerwey-Overbeek (DLVO) theory [6] as a qualitative model at macro-molecular scale.
Application of the theory to collagen-mica system provides insight regarding the
intervening factors and rationalizes important system parameters such as force, energy, or
adhesion. A pure attraction at long distances is calculated in addition to a comparative
adhesion at contact with the literature. To further investigate the nanoscale organization of
collagen fibrils, a more detailed sequence based computational analysis will be performed
at short distances for the future goal of the project.
KEYWORDS - Collagen, DLVO Theory, Intermolecular interactions, self-assembly,
hydrophobic interactions, hydrophilic interactions
Istanbul, Turkey, May 9-12, 2017
225
International Conference on Advanced Technology & Sciences (ICAT’17)
ELECTRONIC HEALTH REMOTE EHR CONTROL OF PATIENTS BY
MEDICAL STUDENTS WITH MOBILE AND SENSOR TECHNOLOGY
PINAR KIRCI1
1
Istanbul University, Turkey
ABSTRACT
Today, with internet and mobile devices like mobile phones and computers, the people
communicate easily with each other. But this technology is not efficiently utilized by
patients, doctors and medical students yet. There are not enough literature researches and
studies about the considered technology utilization and their effect on the education of
medical students. Purpose: The study proposed that with the use of mobile and sensor
technology for remote monitoring, following and controling of patients, such as; their
behaviors after operations, given medicine effects on them and daily routine (fever, heart
rates, weight.etc) data can be collected by medical students, examined and reported
weekly to the professors. This will help medical students to improve their vision and skills
in patient surveillance.
KEYWORDS - Medical education of medical students, Medical teaching, Mobile
technology, Mobile health market.
Istanbul, Turkey, May 9-12, 2017
226
International Conference on Advanced Technology & Sciences (ICAT’17)
AUTOMATIC DETECTION OF EPILEPSY USING EEG ENERGY AND
FREQUENCY BANDS
SAMEH BELLGDI1 , SAMER ARAFAT1
1
Kfupm, Saudi Arabia
ABSTRACT
This paper demonstrates the effectiveness of information fusion at the feature vectors level
for automatic detection of epilepsy. Experiments used different types of features ranging
from separate EEG filtered band waves to combinations of filtered band waves in addition
to two added feature vectors: signal power and signal energy. We used two classifiers with
the feature vectors: TreeBoost and support vector machines. We carried out experiments
using a real life EEG signals data set that is available from the University Hospital of
Bonn in Germany. The main contribution of our work is to show the effect of combining
together signal energy and power with different EEG band waves to classify epilepsy, and
that this combination has shown improvement (96.5% accuracy) over using feature vectors
with fewer band wave transformations (86-92.75% accuracy), using the TreeBoost
algorithm. This combination also computed 99% specificity and 94% sensitivity. The
results were evaluated using cross validation with 10 folds.
KEYWORDS - EEG, Machine Learning, Epilepsy, Signal Energy, Signal Power,
TreeBoost
Istanbul, Turkey, May 9-12, 2017
227
International Conference on Advanced Technology & Sciences (ICAT’17)
SERVO MOTOR CONTROL USING PLC
SERHAT AKSUNGUR1, TARKAN KOCA1
1
Inonu University, Turkey
ABSTRACT
Today, with the rapid development of technology, importance of product quality and speed
of production are increasing. In parallel, the sensitivities of the actuators and the controller
used have gained importance. The servo motors and drives that are emerging in this
process are found more places for industrial applications. In this work, servo motor control
will be mentioned using PLC (Programmable Logic Controller). Different examples will
be emphasized and the benefits of the practice will be tried to be revealed.
KEYWORDS - Servo motors, servo drivers, PLC control
Istanbul, Turkey, May 9-12, 2017
ICAT
International Conference on Advanced
Technology & Sciences
@
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