@ 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 viii 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 viii 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 ix 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 x 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 xi 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 xii 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 Istanbul, Turkey, May 9-12, 2017 xiii 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 xiv 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 Istanbul, Turkey, May 9-12, 2017 xv 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 xvi 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 xvii 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 xviii 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 xix 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 xx 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 xxi 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 xxii 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 xxiii 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 xxiv 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 @ Science
