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978-605-68537-0-8

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International Conference on

Advanced Technologies

7th International Conference, ICAT’18

Antalya, Turkey, April 28 - May 1, 2018

Abstracts

Editors

Ismail SARITAS

Omer Faruk BAY

International Conference on Advanced Technologies, ICAT’18

7th International Conference on Advanced Technologies


ii International Conference on Advanced Technologies (ICAT’18)

Antalya, Turkey, 28 April -May 1, 2018 E-ISBN: 978-605-68537-0-8

7th International Conference on

Advanced Technologies

ICAT’18


Abstracts

Editors

Ismail SARITAS

Omer Faruk BAY

E-ISBN: 978-605-68537-0-8

www.snbt.com.tr

SN Bilgi Teknolojileri

Kürden Mh. Temizciler Sk. No:5/3 Meram / KONYA

Tel: 0.332 323 07 39

May – 2018

International Conference on Advanced Technologies (ICAT’18) iii

E-ISBN: 978-605-68537-0-8 Antalya, Turkey, 28 April -May 1, 2018

iv International Conference on Advanced Technologies (ICAT’18)


EDITORS :

Ismail SARITAS

Selcuk University, Turkey

Depertmant of Electrical and Electronics Engineering, Faculty of Technology

Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]

Omer Faruk BAY,

Gazi University, Turkey

Depertmant of Electrical and Electronics Engineering, Faculty of Technology

Teknikokullar, 06500, Ankara, Turkey

[email protected]

ASSISTANT EDITORS :

Ilker Ali OZKAN


Depertmant of Computer Engineering, Faculty of Technology


Murat KOKLU


Depertmant of Computer Engineering, Faculty of Technology


International Conference on Advanced Technologies (ICAT’18) v


vi International Conference on Advanced Technologies (ICAT’18)


PREFACE

7th International Conference on Advanced Technologies (ICAT'18) has been

organized in Antalya, Turkey on April 28-May 1, 2018.

The main objective of ICAT'18 is to present the latest research and results of

scientists related to Computer Sicences, Electrical & Electronics, Energy

Technologies, Manufacturing Technologies, Mechatronics and Biomedical

Technologies. 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.

All 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 were 640 papers submissions from 30 different

countries. Each paper proposal was evaluated by two reviewers. And finally, 388

papers were presented at our conference.

In particular we would like to thank Prof. Dr. Mustafa SAHIN, 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); FIRUZEN Tourism and SN

Information Techonology. 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

International Conference on Advanced Technologies (ICAT’18) vii


PROGRAMME COMMITTEES

HONORARY CHAIR :

Mustafa Sahin, Rector of Selcuk University, Turkey

CHAIRS :

Omer Faruk Bay, Gazi University, Turkey

Ismail Saritas, Selcuk University, Turkey

CO-CHAIRS :

Alla Anohina Naumeca, Riga Technical University, Latvia

Ilker Ali Ozkan, Selcuk University, Turkey

Murat Koklu, Selcuk University, Turkey

Lilia Georgieva, Heriot Watt University, United Kingdom

Silyan Sibinov Arsov, Rousse University, Bulgaria

PUBLICATION CHAIRS : Mehmet Akif Sahman, Selcuk University, Turkey

Ali Yasar, Selcuk University, Turkey

Mustafa Buber, Selcuk University, Turkey

INTERNATIONAL ADVISORY BOARD

A. Erdal Tumer, N. Erbakan Unv.,TR

Alexander Sudnitson, Tallinn Unv. of

Techn.,EE

Ali Yazici, Atilim Unv.,TR

Ali Kahraman, N. Erbakan Unv.,TR

Alla Anohina Naumeca, Riga Technical

Unv.,LV

Almoataz Youssef Abdelaziz, Ain Shams

Unv.,EG

Amar Ramdane Cherif, Unv. of

Versailles,FR

Anand Kumar, M S Engineering College,IN

Anca Loana Andreescu, Bucharest ASE,BG

Angel Smrikarov, Rousse Unv.,BG

Anne Villems, Unv. of Tartu,EE

Antonella Reitano, Unv. of Calabria,IT

Antonio Mendes, Uni. De Coimbra,PT

Artan Luma, South East European

Unv.,MK

Asrun Matthiasdottir, Reykjavik Unv.,IS

Biagio Lenzitti, Unv. of Palermo,IT

Binod Kumar, Unv. of Pune,IN

Boris Akanaev, Kazak National Unv.,KZ

Burhan Turksen, Tobb Unv.,TR

Cemil Sungur, Selcuk Unv.,TR

Cesare Valenti, Unv. of Palermo,IT

D S Hooda, Jaypee Unv. of Eng.

Technology,IN

Desislava P.Marinova, Bulgarian Acad. of

Sci.,BG

Dimitris Dranidis, Sheffield Unv.,GR

Domenico Tegolo,Unv. Degli Studi Di

Palermo,IT

Eisha Akanksha, Mvj College of

Engineering,IN

Elinda Kajo Mece, Polytechnic Unv. of

Tirana,AL

Esma Eryilmaz, Selcuk Unv.,TR

Fecir Duran, Gazi Unv.,TR

Gabriel Luna Sandoval, State Unv. of

Sonora,MX

Heinz Dietrich Wuttke, Ilmenau Unv. of

Tech.,DE

viii International Conference on Advanced Technology & Sciences (ICAT’17)


Hidayet Oguz, Necmettin Erbakan Unv.,TR

Hilda Tellioglu, Vienna Unv. of

Technology,AT

Howard Duncan, Dublin City Unv.,IE

Huse Fatkic, Unv. of Sarajevo,BA

Ibrahim Uyanik, Selcuk Unv.,TR

Ilker Ali Ozkan, Selcuk Unv.,TR

Inan Guler, Gazi Unv.,TR

Irina Noninska, Technical Unv.,BG

Ismail Saritas, Selcuk Unv.,TR

Ivan Jelinek, Czech Technical Unv.,CZ

Jan Vom Brocke, Unv. of Liechtenstein,LI

Janis Grundspenkis, Riga Technical

Unv.,LV

Janusz Jablonowski, Warsaw Unv.,PL

Jiri Srba, Aalborg Unv.,DK

Kadir Sabanci, Karamanoglu Mehmetbey

Unv.,TR

Karl Jones, Liverpool John Moores

Unv.,GB

Laurentiu Cristian Deaconu, Unv. of

Pitesti,RO

Leon Rothkrantz, Delft Unv. of

Technology,NL

Levent Aydin, Kocaeli Unv.,TR

Lilia Georgieva, Heriot Watt Unv.,GB

Luca Lombardi, Unv. of Pavia,IT

Mahdi Shahbakhti, Michigan Technology

Unv.,US

Majida Ali Abed Meshari, Tikrit Unv.,IQ

Manik Sharma, Dav Unv.,IN

Marco Porta, Unv. of Pavia,IT

Markus Helfert, Dublin City Unv.,IE

Mehmet Cunkas, Selcuk Unv.,TR

Mehmet Akif Sahman, Selcuk Unv.,TR

Mehmet Rahmi Canal, Gazi Unv.,TR

Mehmet Turan Demirci, Selcuk Unv.,TR

Michail Antchev, Technical Unv.,BG

Mirjana Ivanovic, Unv. of Novi Sad,RS

Muciz Ozcan, Necmettin Erbakan Unv.,TR

M. Zia Ur Rehman, National Defence

Unv.,PK

Murat Koklu, Selcuk Unv.,TR

Murat Ciniviz, Selcuk Unv.,TR

Murat Barut, Nigde Unv.,TR

Mustafa Sahin, Selcuk Unv.,TR

Mustafa Altin, Selcuk Unv.,TR

Mustafa Alci, Erciyes Unv.,TR

Natasa Hoic Bozic, Unv.of Rijeka,HR

Novruz Allahverdi, Karatay Unv.,TR

Omer Faruk Bay, Unv.,TR

Onur Inan, Necmettin Erbakan Unv.,TR

Pantha Ghosal, Unv. of Technology

Sydney,AU

Pino Caballero Gil, Unv. of La Laguna,ES

Polyxeni Arapi, Technical Unv. of

Greece,GR

Raif Bayir, Karabuk Unv.,TR

Ridvan Saracoglu, Van Yuzuncu Yil

Unv.,TR

Rositsa Doneva, Plovdiv Unv.,BG

Saadetdin Herdem, Selcuk Unv.,TR

Sakir Tasdemir, Selcuk Unv.,TR

Silyan Sibinov Arsov, Rousse Unv.,BG

Simona Silvia Merola, Istituto Motori

Cnr,IT

Stavros Christodoulakis, Tech. Unv. of

Crete,GR

Stavros Nikolopoulos, Unv. of Ioannina,GR

Tatjana Dulinskiene, Kaunas Unv. of

Tech.,LT

Teresa Parra, Unv. of Valladolid,ES

Thomas Engel, Unv. of Luxembourg,LU

Valentina Dagiene, Vilnius Unv.,LT

Virginio Cantoni, Unv. of Pavia,IT

Wladimir Bodrow, Htw Unv.,DE

Yuri Pavlov, Bulgarian Academy of

Sciences,BG

Zarifa Jabrayilova, ANAS,AZ

Zekai Sen, Istanbul Technical Unv.,TR

International Conference on Advanced Technologies (ICAT’18) ix


ORGANIZING COMMITTEE

Alla Anohina Naumeca, Riga Tech.

University,LV

Angel Smrikarov, Rousse Uni.,BG

Cesare Valenti, Uni. of Palermo,IT

Dimitris Dranidis, Sheffield Uni,GR

Domenico Tegolo,Unv. Degli Studi Di

Palermo,IT

Ilker Ali Ozkan, Selcuk University,TR

Ismail Saritas, Selcuk University,TR

Janis Grundspenkis, Riga Technical

Unv,LV

Lilia Georgieva, Heriot Watt Unv,GB

Marco Porta, University of Pavia,IT

Murat Koklu, Selcuk University,TR

Murat Ciniviz, Selcuk University,TR

Mustafa Altin, Selcuk University,TR

Omer Faruk Bay, University,TR

Sakir Tasdemir, Selcuk University,TR

Silyan Sibinov Arsov, Rousse Unv,BG

Simona Silvia Merola, Istituto Motori

Cnr,IT

Zekai Sen, Istanbul Technical Unv,TR

TECHNICAL COMMITTEE

Mehmet Akif Sahman, Turkey

Ali Yasar, Turkey

Esra Kaya, Turkey

Mustafa Buber, Turkey

viii International Conference on Advanced Technologies (ICAT’18)


CONTENTS

CONTROL OF WIND PHOTOVOLTAIC BATTERY HYBRID SYSTEM ENERGY

MANAGEMENT AND POWER FLUCTUATION MITIGATION SYSTEM 1

SULEYMAN EMRE EYIMAYA, GUNGOR BAL, NECMI ALTIN

DESIGN OF FUZZY LOGIC BASED LIQUID COOLING SYSTEM FOR

ELIMINATING THE BEARING FAULTS IN THREE PHASE ASYNCHRONOUS

MOTORS

2

HASAN ERDINC KOCER, FERHAT HALAT

DESIGN OF EFFICIENT PHOTOVOLTAIC SYSTEM DESIGN THANKS TO

SUNLIGHT DATA 3

SULEYMAN EMRE EYIMAYA, HARUN ARSLAN

ENERGY STORAGE SYSTEM PROPOSAL FOR THE SOLUTION OF POWER

QUALITY PROBLEMS IN WIND TURBINES 4

SULEYMAN EMRE EYIMAYA, HARUN ARSLAN

DEVELOPMENT OF TRANSIMPEDANCE AMPLIFIERS FOR DIFFERENT

INPUT FREQUENCY VALUES 5

HARUN ARSLAN, MEHMET AKIF ERISMIS

COMPREHENSIVE COMPARISON OF SOLAR PHOTOVOLTAIC MAXIMUM

POWER POINT TRACKING TECHNIQUES 6

RAHMI ILKER KAYAALP, TUGCE DEMIRDELEN, MEHMET UGRAS CUMA, KAMIL

CAGATAY BAYINDIR, MEHMET TUMAY

FPGA BASED 3 PHASE SYNCHRONOUS MOTOR CONTROL 7

ABDULKADIR SADAY, HULUSI KARACA, ILKER ALI OZKAN, ISMAIL SARITAS

DESIGN AND IMPLEMENTATION OF A VISION BASED FACE RECOGNITION

SYSTEM BY USING SURF METHOD 8

MEHMET DEMIR, RASIT KOKER

THE POTENTIAL OF BIOGAS ENERGY IN CENTRAL AREAS OF PALESTINE 9

MAHER AL MAGHALSEH

DESIGN AND IMPLEMENTATION OF FUZZY LOGIC BASED SPEED

CONTROLLER FOR A VANE TYPE PNEUMATIC MOTOR 10

BAYRAM KUCUK, ISMAIL ATACAK, CETIN ELMAS

COMBINED DCT AND DST OFDM SCHEME FOR VISIBLE LIGHT

COMMUNICATION 11

IDRIS CINEMRE

USE OF DEEP LEARNING IN THE DEFENSE AND SECURITY SECTOR 12

ALI YASAR, ISMAIL SARITAS

MODE SPLITTING IN PHOTONIC CRYSTAL COUPLED CAVITY

WAVEGUIDES 13

OZGUR ONDER KARAKILINC

SMART OVEN DESIGN AND REALIZATION WITH PLC 14

ABDULAZIM HANSU, ADEM GOLCUK

OVER AND UNBALANCED LOAD ANALYSIS IN LOW VOLTAGE GRIDS 15

ZEYNEP KAYA, NAZIM IMAL, OMER TURKARSLAN

THE EFFECT OF EMBEDDED FULLERENE ON PHOTOLUMINESCENCE OF

POROUS SILICON 16

AYAZ BAYRAMOV

NOVEL STABILITY AND PASSIVITY ANALYSIS FOR A JOSEPHSON

JUNCTION CIRCUIT 17

MUZAFFER ATES, RIDVAN SARACOGLU, MERVE GENEL

ix International Conference on Advanced Technologies (ICAT’18)


REALIZATION OF TRAVELLING WAVE BASED SINGLE ENDED FAULT

LOCATION METHOD 18

UGURCAN GOKCE, AYSEN BASA ARSOY

ENERGY OPTIMIZATION BY DETERMINING PID COEFFICIENTS BY

GENETIC ALGORITHM IN MARINE DUAL FUEL ENGINE 19

TAYFUN UYANIK, YASIN ARSLANOGLU, OZCAN KALENDERLI

A GENERAL OVERVIEW OF OPTIMIZATION METHODS USED IN

ELECTRICAL MACHINES APPLICATIONS 20

SELVA BAL, INAYET OZGE AKSU, TUGCE DEMIRDELEN

A REVIEW ON THE FORECASTING OF SOLAR GENERATED POWER 21

TUGCE DEMIRDELEN, FIRAT EKINCI, ESRA SARAC ESSIZ, INAYET OZGE

AKSU, MEHMET BILGILI

SHORT TERM WIND SPEED PREDICTION A COMPREHENSIVE REVIEW 22

TUGCE DEMIRDELEN, FIRAT EKINCI, ESRA SARAC ESSIZ, INAYET OZGE

AKSU, MEHMET BILGILI

A REVIEW OF POWER QUALITY PROBLEM CLASSIFICATION USING

ARTIFICIAL NEURAL NETWORKS 23

SELVA BAL, INAYET OZGE AKSU, TUGCE DEMIRDELEN

INVESTIGATION OF THE SHIPS LIGHTNING PROTECTION SYSTEMS 24

TAYFUN UYANIK, YASIN ARSLANOGLU, OZCAN KALENDERLI

INFORMATION GEOMETRY AND FINSLER GEOMETRY BASED

APPROACHES FOR WIND ENERGY ANALYSIS 25

EMRAH DOKUR, SALIM CEYHAN, MEHMET KURBAN

3D DRY TYPE TRANSFORMER TECHNOLOGY 26

SELVA BAL, TUGCE DEMIRDELEN, MEHMET TUMAY

BI SE THIN FILM PRODUCTION AND CHARACTERIZATION 27

FATIH AYDIN, FATMA MEYDANERI TEZEL, ISHAK AFSIN KARIPER

TO IMPROVE PRODUCING TORQUE AND SPEED CAPABILITY OF BLDC

MOTORS BY INCREASING CONDUCTION ANGLE 28

MEHMET CIHAT OZGENEL

SPECIAL PURPOSE TRANSFORMERS 29

SELVA BAL, TUGCE DEMIRDELEN, MEHMET TUMAY

PID CONTROLLER DESIGN FOR BOEING 767 AIRCRAFT 30

AZIZ KABA, EMRE KIYAK

KALMAN FILTER MEASUREMENT NOISE OPTIMIZATION VIA PARTICLE

SWARM ALGORITHM 31

AZIZ KABA, EMRE KIYAK

SYNTHESIS SURFACE TENSION OPTICAL AND DIELECTRIC PROPERTIES

OF BISMUTH OXIDE THIN FILM 32

FATIH AYDIN, FATMA MEYDANERI TEZEL, ISHAK AFSIN KARIPER

A MATCHING ALGORITHM FOR CLOUD BASED UAV SWARM CONTROL 33

EBRU KARAKOSE

INCREMENTAL LEARNING BASED FAULT DIAGNOSIS APPROACH IN RAIL

TRACKS 34

YUNUS SANTUR, MEHMET KARAKOSE, ERHAN AKIN

DEVELOPMENT OF VIRTUAL AND AUGMENTED REALITY FRAMEWORK

FOR PREGNANCY HEALTH 35

YUNUS SANTUR, SINEM GUVEN SANTUR, MEHMET KARAKOSE

QUANTITATIVE PREDICTABILITY ANALYSIS OF FINANCIAL INSTRUMENTS 36

ADIL GURSEL KARACOR, TURAN ERMAN ERKAN

x International Conference on Advanced Technologies (ICAT’18)


IPV6 BASED 5G IOT CLOUD COMPUTING SDN NFV AND FOG COMPUTING 37

LATIF LADID

A COMPARISON OF GEOID HEIGHT OBTAINED WITH ARTIFICIAL

INTELLIGENCE TECHNIQUES AND NUMERICAL METHODS 38

KEMAL TUTUNCU, MEHMET AKIF SAHMAN, EKREM TUSAT

DETERMINATION EFFECT OF ORTHOMETRIC HEIGHT FOR MODELLING

GEOID HEIGHT 39

KEMAL TUTUNCU, MEHMET AKIF SAHMAN, EKREM TUSAT

INTERNET OF THINGS BASED WASTE MANAGEMENT APPROACH FOR

SMART CITY 40

CANAN TASTIMUR, YUNUS SANTUR, SINEM GUVEN SANTUR, MEHMET

KARAKOSE, ERHAN AKIN

ANALYSIS AND REMOTE SENSING SYSTEM FOR VEHICLE EMISSIONS IN

SMART CITIES 41

EBRU KARAKOSE, YUNUS SANTUR, SINEM GUVEN SANTUR, MEHMET

KARAKOSE, ILHAN AYDIN, ERHAN AKIN

A HEURISTIC MACHINE LEARNING APPROACH VIA SPARSE CLUSTERING

ANALYSIS 42

EMRE DUNDER

BRAIN MAPPING OF EPILEPTIC EEG SIGNALS USING TIME DELAY

ALGORITHMS 43

MUSTAFA YAZICI, MUSTAFA ULUTAS, SUNBUL OZTURK, OGUZHAN CAKIR

E GOVERNMENT SERVICES PRACTICE AREAS CIVIL AVIATION IN TURKEY 44

SAVAS SELAHATTIN ATES, BAHRI KESICI

A DIAGNOSTIC SYSTEM OF THYROID DISEASE BASED ON K NEAREST

NEIGHBOUR CLASSIFICATION 45

MURAT KARAKOYUN, ONUR INAN, AYSE NAGEHAN MAT

AN ANALYSIS OF SOLUTION UPDATE EQUATIONS FOR ARTIFICIAL BEE

COLONY ALGORITHM WITH VARIABLE SEARCH STRATEGY 46

HUSEYIN HAKLI, SEDAT KORKMAZ, MUSTAFA SERVET KIRAN

AN IMPROVED VERSION OF TREE SEED ALGORITHM FOR CONTINUOUS

OPTIMIZATION 47

HUSEYIN HAKLI, SEDAT KORKMAZ, MUSTAFA SERVET KIRAN

BIG DATA SECURITY SURVEY 48

SENA EFSUN CEBECI, ENVER OZDEMIR

REALIZATION OF COUNTING BLOOD CELLS USING IMAGE PROCESSING

TECHNIQUES 49

MUSTAFA NAVRUZ, ADEM ALPASLAN ALTUN, HASAN ERDINC KOCER

IMPACT OF TEMPERATURE CHANGES ON THE AMOUNT OF

PRECIPITATION IN KONYA 50

MEHMET AKTAN, AHMET REHA BOTSALI, KEMAL ALAYKIRAN

KNOWLEDGE REPRESENTATION OF ISLAMIC TEXTS 51

BENDJAMAA FAIROUZ, TALEB NORA

DATABASE DESIGN FOR BUILDING HUMAN RESOURCES INVENTORY IN

THE CIVIL AVIATION SECTOR 52

SAVAS SELAHATTIN ATES, HASAN LIK, SEMRA KURAMA

INVESTIGATION ON COMPUTER USE ABILITY OF FIRST GRADE CIVIL

ENGINEERING STUDENTS 53

ALI ERDEM CERCEVIK, NIHAN KAZAK CERCEVIK

xi International Conference on Advanced Technologies (ICAT’18)


MODELING THE EFFECT OF DIFFERENT FORMWORK SURFACES ON

CONCRETE STRENGTH BY COMPUTER AIDED STATISTICAL REGRESSION 54

MUSTAFA ALTIN, SAKIR TASDEMIR, ABDULLAH MUSEVITOGLU

A FRAUD DETECTION APPLICATION IN BANKING SECTOR USING

DECISION TREE ALGORITHMS 55

MERVE DUNDER, EMRE DUNDER, SERPIL AYDIN

BLOOD BANK APPLICATION 56

NIHAN KAZAK CERCEVIK, BARIS SAGLAM

THE USE OF ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF

CONCRETE STRENGTH IN DIFFERENT TYPES OF FORMWORK 57

SAKIR TASDEMIR, MUSTAFA ALTIN, BURAK TEZCAN, ABDULLAH MUSEVITOGLU

APPLICATION OF DEEP LEARNING METHOD IN CLASSIFICATION DATA 58


DEVELOPING AN EDUCATIONAL DIGITAL GAME BY USING CONSTRUCT 2 59

MUSTAFA NAVRUZ, SAKIR TASDEMIR, ABDURRAHMAN PALALI, ADEM GOLCUK

OPTIMIZING SUPPORT VECTOR MACHINE PARAMETERS 60

BURAK TEZCAN, SAKIR TASDEMIR, ADEM GOLCUK, MEHMET BALCI

IMPLEMENTATION OF MULTIPROCESSING ARCHITECTS ON NETWORK

MOTIF DETECTION ALGORITHMS 61

VOLKAN ALTUNTAS, MURAT GOK, TUGRUL AKTAS

ANALYSIS OF BIG DATA OBTAINED IN SERVICE ROBOTS 62

NURSENA BAYGIN, MEHMET BAYGIN, MEHMET KARAKOSE

DEEP LEARNING BASED APPROACHES FOR MACHINE VISION INSPECTION

APPLICATIONS 63

MEHMET BAYGIN, MEHMET KARAKOSE

A BINARY HYBRID APPROACH BASED ON TREE SEED ALGORITHM FOR

SOLVING 0 1 KNAPSACK PROBLEMS 64

AHMET CEVAHIR CINAR, SEDAT KORKMAZ, MUSTAFA SERVET KIRAN

AN ANALYSIS OF POPULATION SIZE FOR BINARY ARTIFICIAL ALGAE

ALGORITHMS 65

SEDAT KORKMAZ, AHMET CEVAHIR CINAR, MUSTAFA SERVET KIRAN

ADAPTIVE CONTROL APPLICATIONS ON COMPUTER CONTROLLED

MACHINING 66

MEHMET BALCI, ADEM GOLCUK, SAKIR TASDEMIR, BURAK TEZCAN

COURSE SCHEDULING PROBLEM FOR THE COLLEGE OF ENGINEERING

AND ARCHITECTURE AT NECMETTIN ERBAKAN UNIVERSITY 67

AHMET REHA BOTSALI, MEHMET AKTAN

AN EXPERIMENTAL COMPARISON OF BINARY AND REAL VALUED CODING

IN GENETIC ALGORITHMS FOR FEATURE SELECTION OF TEXT

DOCUMENTS

68

RIDVAN SARACOGLU

DETERMINATION OF THE EFFECT OF NEURON NUMBERS AT THE

MODELLING OF GNSS LEVELLING GEOID BY ANN 69

MEHMET AKIF SAHMAN, KEMAL TUTUNCU, EKREM TUSAT

CLOSEDNESS IN PREORDERED SPACES 70

MEHMET BARAN

T0 LIMIT PRE APPROACH SPACES 71

MEHMET BARAN, MUHAMMAD QASIM

A NEW ENCRYPTION SCHEME USING SOFT SETS 72

EMIN AYGUN

xii International Conference on Advanced Technologies (ICAT’18)


A NEW CYRPTOSYSTEM USING SOFT MATRICES 73

EMIN AYGUN

CYBER SECURITY STUDIES AND ISSUES IN TURKEY 74

SEREF SAGIROGLU

AN INVESTIGATION STUDY FOR WEARABLE TECHNOLOGIES IN

INTELLIGENT ENGINEERING SYSTEMS 75

EBRU KARAKOSE, ILHAN AYDIN

A TWO STAGE SOLUTION PROCEDURE FOR REAL LIFE LOCATION

ROUTING PROBLEM 76

ESRA YASAR, AHMET REHA BOTSALI

APPLICATION OF THE CUCKOO SEARCH ALGORITHM TO ESTIMATE THE

REMOVAL OF CHROMIUM VI WITH POLYMERIC CALIX 6 ARENE FROM

AQUEOUS SOLUTION

77

ABDULLAH ERDAL TUMER, SABAN GULCU

A STUDY OF CLUSTERING BY USING GREY WOLF OPTIMIZER ALGORITHM 78

MURAT KARAKOYUN, ONUR INAN, IHTISAM AKTO

APPLICABILITY OF THE CRYOTHERAPY METHOD IN THE TREATMENT

OF WARTS 79


PRECISION FARMING MONITORING BASED ON INTERNET OF THINGS 80

HIDAYET OGUZ, ABDULLAH ERDAL TUMER

BIODIESEL PRODUCTION FROM WASTE COOKING OIL AND ASPEN HYSYS

OPTIMIZATION PROCEDURE 81

SULEYMAN KARACAN, MEHMET TUNCAY CAGATAY

EFFECT OF NANO GRAPHENE PARTICLES ON SHEAR STRENGTH OF AL

GFRP BONDING JOINTS 82

MEHMET VEYSEL CAKIR

EFFECT OF MWCNT PARTICLES ON SHEAR STRENGTH OF AL GFRP

BONDING JOINTS 83

MEHMET VEYSEL CAKIR, DIDEM KINAY

DYNAMIC MULTI CRITERIA DECISION MAKING WITH THE HELP OF

SYSTEMS DYNAMICS MODELLING 84

DILEK YESILKAYA, ADIL BAYKASOGLU, ESRA EKINCI

FTIR AND THERMOGRAVIMETRIC ANALYSIS OF CO LIQUEFACTION

PRODUCTS 85

CEMIL KOYUNOGLU, HUSEYIN KARACA

INVESTIGATION OF MATERIALS BEHAVIOR IN SEMI AUTOGENOUS

GRINDING MILL 86

DIMITAR KARASTOYANOV, NIKOLAY STOIMENOV

ADAPTIVE FIXTURE DESIGN FOR THIN WALLED FREEFORM SURFACED

PARTS 87

MELIKE AVER, OGUZHAN YILMAZ

SOLAR TRACKING SYSTEM WITH PID CONTROL OF SOLAR ENERGY

PANELS USING SERVO MOTOR 88

SERHAT AKSUNGUR, TARKAN KOCA

NOISE PROPAGATION PREDICTION OF THE WIND TURBINES ACCORDING

TO THE INTERNATIONAL STANDARD ISO 9613 2 89

ONUR KOSAR, MUSTAFA ARIF OZGUR, RAMAZAN KOSE, FATIH SELIM

BAYRAKTAR, MESUT YAZICI, OGUZ OZAN YOLCAN

xiii International Conference on Advanced Technologies (ICAT’18)


NUMERICAL SIMULATION OF A PITCHING CORRUGATED DRAGONFLY

WING WITH USING LATTICE BOLTZMAN AND LES METHODS 90

ONUR KOSAR, RAMAZAN KOSE, MUSTAFA ARIF OZGUR, MESUT YAZICI, OGUZ

OZAN YOLCAN, FATIH SELIM BAYRAKTAR

BIOGAS ENERGY OPPORTUNITY OF SMALL COUNTIES A CASE STUDY OF

SIMAV 91

FATIH SELIM BAYRAKTAR, RAMAZAN KOSE, M ARIF OZGUR, OZER AYDIN, ONUR

KOSAR, MESUT YAZICI

PERFORMANCE EVALUATION FOR GREENHOUSE HEATING

GEOTHERMAL WASTE HEAT SOURCE HEAT PUMP 92

MESUT YAZICI, RAMAZAN KOSE, MUSTAFA ARIF OZGUR, ONUR KOSAR, FATIH

SELIM BAYRAKTAR, OGUZ OZAN YOLCAN

THE IMPACT OF METHANOL BIODIESEL EURODIESEL MIXTURES IN A

DIESEL ENGINE TO EMISSIONS 93

HASAN AYDOGAN, A ENGIN OZCELIK, MUSTAFA ACAROGLU

DRYING KINETICS OF PUMPKIN SLICES AND ANALYSIS OF CONSISTENCY

WITH DRYING MODELS 94

SELCUK DARICI, OMER FARUK OZEL

EXPERIMENTAL ANALYSIS OF A SOLAR AIR COLLECTOR WITH

TRAPEZOIDAL ABSORBER PLATE 95

SELCUK DARICI, ANIL KILIC

SURFACE ACOUSTIC WAVE BESSEL BEAMS FOR MICROFLUIDIC LAB ON

A CHIP DEVICES 96

YESIM YALCIN, BULENT ULUG, AYSE EROL, OLGUN ADEM KAYA, AHMET CICEK

ONE DIMENSIONAL PHONONIC CRYSTAL ACOUSTIC RING RESONATOR 97

OLGUN ADEM KAYA, FATIH CAN OKAY, DIGDEM TRAK, YASIN

ARSLAN, NURETTIN KOROZLU, AHMET CICEK, BULENT ULUG

ASSESSMENT OF HYDROTHERMAL ENERGY CONSUMPTION IN TURKEY 98

SUHEYLA YEREL KANDEMIR

A NEW CORE SHELL CAMOO4 EU MNFE2O4 COMPOSITE 99

GOKHAN YILMAZ, FATIH MEHMET EMEN, RUKEN ESRA DEMIRDOGEN, ALI IHSAN

KARACOLAK, DERYA KILIC, ZEYNEP YILDIRIM, OGUZHAN SONMEZ

CZTS THIN FILM DEPOSITION AND ELECTRICAL STABILITY

CHARACTERIZATION 100

GOKHAN YILMAZ, OGUZHAN SONMEZ, FATIH MEHMET EMEN, DERYA

KILIC, ZEYNEP YILDIRIM, ALI IHSAN KARACOLAK

THE FINITE TEMPERATURE PROPERTIES OF INTERACTING ELECTRONS

CONFINED BY V R AR 2 BR 6 POTENTIAL 101

BERNA GULVEREN

THE GROUND STATE PROPERTIES OF INTERACTING ELECTRONS

CONFINED IN A TWO DIMENSIONAL QUANTUM DOT WITH MORSE

POTENTIAL

102

BERNA GULVEREN

THE EFFECT OF BORON ADDITION TO HIGH MN STEEL BY SAND CASTING

ON WEAR RESISTANCE 103

EBRU SARALOGLU GULER

INTERFACE INVESTIGATION VIA FLOURINE TERMINATED SELF

ASSEMBLED MONOLAYER IN HYBRID SOLAR CELLS 104

DUYGU AKIN KARA, GORKEM OYLUMLUOGLU, KORAY KARA, MUSTAFA

CAN, MAHMUT KUS

xiv International Conference on Advanced Technologies (ICAT’18)


INVESTIGATION OF ELECTRONIC STRUCTURE IN INTERFACES OF

RUBRENE SINGLE CRYSTALLINE DEVICES 105

DUYGU AKIN KARA, EDMUNT BURNETT, KORAY KARA, GORKEM

OYLUMLUOGLU, MAHMUT KUS, ALEJANDRO BRISENO

THE ROLE MN SUBSTITUTIONS ON THE MORPHOLOGY CRYSTALLITE

GRAIN SIZE AND OPTICAL CONSTANTS OF ZNS NANOCRYSTALLINE THIN

FILMS

106

ABDULLAH GOKTAS, AHMET TUMBUL, NURI YORULMAZ, FERHAT

ASLAN, MEHMET MURAT YASAR

STRUCTURAL AND OPTICAL PROPERTIES OF NON STOICHIOMETRIC

CZTS ABSORBER LAYER 107

AHMET TUMBUL, ABDULLAH GOKTAS, FERHAT ASLAN, NURI

YORULMAZ, MEHMET MURAT YASAR

TEXTURES AND OPTICAL REFRACTION IN COMPLEX AMPHIPHILIC

LYOTROPIC LIQUID CRYSTALLINE SYSTEMS 108

YASEMIN ALTINAY, ARIF NESRULLAJEV

TEXTURES PHASE STATES AND ELECTROCONDUCTIVITY IN

BICOMPONENT AMPHIPHILIC DDTMABR HDTMABR WATER LYOTROPIC

SYSTEM

109

YASEMIN ALTINAY, ARIF NESRULLAJEV

EFFECT OF PARTIAL REPLACEMENT OF SLAG BY SILICA FUME ON THE

MECHANICAL PROPERTIES OF GEOPOLYMERS 110

NIHAN GULMEZ, NIYAZI UGUR KOCKAL

COMBINED EFFECTS OF SILICA FUME AND CURING CONDITIONS ON THE

PHYSICAL PROPERTIES OF SLAG BASED GEOPOLYMER MORTARS 111

NIHAN GULMEZ, NIYAZI UGUR KOCKAL

USING OF STEEL FIBERS POLYPROPYLENE FIBERS FLYING ASH ON

CONCRETE PAVEMENTS 112

SAFAK BILGIC, SAFA MUTYILMAZ, MEHMET CANBAZ

A RESEARCH ON THE CORROSION DAMAGES OF CHEMICALS WHICH ARE

USED FOR FIGHTING AGAINST SNOW AND ICING ON ROADS 113

SAFAK BILGIC, ALI OKUR

OPTICAL PROPERTIES OF CO DOPED SNO2 THIN FILMS USING A SIMPLE

ANALYSIS METHOD 114

SIBEL GURAKAR, TULAY SERIN

A COMPREHENSIVE STUDY ON THE FREQUENCY DEPENDENT

ELECTRICAL CHARACTERISTICS OF TIO2 MOS CAPACITORS 115

SALEH ABUBAKAR, SENOL KAYA, RAMAZAN LOK, ALIEKBER AKTAG, HUSEYIN

KARACALI, ERCAN YILMAZ

X RAY ANALYSIS OF IN DOPED SNO2 THIN FILMS BY WILLIAMSON HALL

METHOD 116

SIBEL GURAKAR, TULAY SERIN

INVESTIGATION ON OPTICAL AND ELECTRICAL PROPERTIES OF E BEAM

DEPOSITED AL TIO2 P SI MOS CAPACITORS 117

SALEH ABUBAKAR, SENOL KAYA, RAMAZAN LOK, ALIEKBER AKTAG, NURETTIN

KARAGOZ, ERCAN YILMAZ

DETERMINATION OF THE DARK AND ILLUMINATED ELECTRIC

PARAMETERS FROM J V CHARACTERISTICS OF CZTS THIN FILM SOLAR

CELL PRODUCED BY PULSED LASER DEPOSITION

118

SERAP YIGIT GEZGIN, HAMDI SUKUR KILIC

xv International Conference on Advanced Technologies (ICAT’18)


MORPHOLOGICAL CRYSTAL AND OPTICAL PROPERTIES OF CDS THIN

FILMS DEPOSITED AT DIFFERENT THICKNESSES BY PULSED LASER

DEPOSITION

119

BAHRI GEZGIN, YASEMIN GUNDOGDU, HAMDI SUKUR KILIC

PULSED LASER DEPOSITION SYSTEM AND MORPHOLOGICAL CRYSTAL

AND OPTICAL PROPERTIES OF THIN FILMS PRODUCED 120

SERAP YIGIT GEZGIN, YASEMIN GUNDOGDU, HAMDI SUKUR KILIC

SYNTHESIS OF CHIRAL HOMOALLYL AND HOMOPROPARGYL ALCOHOLS 121

AYSEGUL GUMUS, SELCUK GUMUS

NANOENGINEERED SURFACES FOR POTENTIAL GLUCOSE SENSOR

APPLICATIONS 122

HILAL CELIK KAZICI, FIRAT SALMAN, MUGE YAYLA

NGCE AU PDNPS C FOR HYDROGEN PEROXIDE SENSOR APPLICATIONS 123

HILAL CELIK KAZICI, FIRAT SALMAN, HILAL DEMIR KIVRAK

SYNTHESIS AND COMPUTATIONAL STUDIES ON ANTHRACENE PYRENE

SCHIFF BASES 124

AYSEGUL GUMUS, SELCUK GUMUS

SHAPE STABILIZED ATTAPULGITE POLYETHYLENE GLYCOL COMPOSITE

FOR THERMAL ENERGY STORAGE 125

AHMET SARI, ALPER BICER, GOKHAN HEKIMOGLU

PREPARATION CHARACTERIZATION AND THERMAL ENERGY STORAGE

PROPERTIES OF FLY ASH FATTY ACID EUTECTIC MWCNTS COMPOSITE 126

AHMET SARI, GOKHAN HEKIMOGLU, ALPER BICER

PREPARATION AND N2 CO2 AND CH4 ADSORPTION OF CARBON

MOLECULAR SIEVE DERIVED FROM CHESTNUT SHELL BY CHEMICAL

VAPOR DEPOSITION

127

HAKAN DEMIRAL, ILKNUR DEMIRAL, UGUR MORALI, CANAN SAMDAN

INVESTIGATION OF OPTICAL CHEMICAL AND MORPHOLOGICAL

PROPERTIES OF PANI FILMS OBTAINED BY RF PLASMA

POLYMERISATIONS

128

OZKAN BAYRAM

SYNTHESIS AND CHARACTERIZATION OF AL FE PILLARED BENTONITE

CLAYS 129

ILKER KIPCAK, EMEL KURTARAN ERSAL

DECOMPOSITION MECHANISMS OF NITROGEN RICH PYROTECHNICS 130

SELCUK GUMUS, AYSEGUL GUMUS, RIDVAN UYGUR

A COMPUTATIONAL STUDY ON A SERIES OF PHENANTHRENE AND

PHENANTHROLINE BASED POTENTIAL ORGANIC PHOTOVOLTAICS 131

SELCUK GUMUS, AYSEGUL GUMUS

BIOMEDICAL INFORMATION TECHNOLOGY IMAGE BASED COMPUTER

AIDED DIAGNOSIS SYSTEMS 132

EVGIN GOCERI, CANER SONGUL

THE EXAMINING OF CHANGES IN BASAL GANGLIA AND CEREBELLAR

NETWORKS AT REST IN CHILDREN WITH ATTENTION DEFICIT

HYPERACTIVITY DISORDER

133

SERIFE GENGEC BENLI, SEMRA ICER, SEVGI OZMEN

PRINCIPAL COMPONENT REGRESSION VIA SHRINKAGE COVARIANCE

MATRICES AND INFORMATION CRITERIA FOR GENE EXPRESSION DATA

SETS

134

EMRE DUNDER, SERPIL AYDIN

xvi International Conference on Advanced Technologies (ICAT’18)


INVESTIGATION OF PENETRATION BEHAVIORS OF DISPOSABLE

MEDICAL NEEDLES 135

GULSEN AKDOGAN, HUSEYIN ALTUG

RECENT TRENDS IN STERILIZATION METHODS OF BIOPOLYMER

BIOMATERIALS 136

GULSEN AKDOGAN, MERVE GONCU

CLUSTERING THE HEALTH CARE SYSTEMS OF EUROPEAN COUNTRIES

VIA DATA MINING ALGORITHMS 137

MERVE DUNDER, EMRE DUNDER, EROL TERZI

AGRICULTURAL PRODUCTION PLANNING A CASE STUDY OF ORGANIC

VEGETABLES 138

HASAN AKYER, YUSUF SAHIN

OPTIMIZATION OF RADIATION DOSE IN INTERVENTIONAL RADIOLOGY 139

SALAM LABIDI, IMENE HAMMAMI

CLASSIFICATION OF VOICE DISEASES BASED ON WAVELET ANALYSIS

AND GMM 140

IMEN HAMMAMI, LOTFI SALHI, SALAM LADIDI

BIOMOLECULAR MODELING AND EXAMPLES OF ITS APPLICATIONS 141

ESMA ERYILMAZ

IDENTIFICATION OF TISSUES FROM DIFFERENT ORGANS OF A COW

BONE MUSSLE AND LIVER BY FEMTOSECOND LASER MASS

SPECTROMETRY FLMS

142

YASEMIN GUNDOGDU, TUGRUL OZCAN, HAMDI SUKUR KILIC

INTRODUCTION OF A NEW INLET SYSTEM DESIGN PRODUCTION AND

APPLICATION TIME OF FLIGHT TOF MASS SPECTROMETRY OF SAMPLES

AT ATMOSPHERIC PRESSURE

143

HAMDI SUKUR KILIC, YASEMIN GUNDOGDU, SERAP YIGIT GEZGIN

OPTIMAL WAREHOUSE LOCATION SELECTION MODEL APPLICATIONS 144

HASAN AKYER, ZEHRA DURAK

HPVIEWER SENSITIVE AND SPECIFIC GENOTYPING OF HUMAN

PAPILLOMAVIRUS IN METAGENOMIC DNA 145

LIYING YANG, YUHAN HAO, STUART BROWN, RYAN BRANSKI, ZHIHENG PEI

MOBIL HEALTH TECHNOLOGIES FOR PATIENTS WITH MENTAL ILLNESS 146

EVGIN GOCERI, CANER SONGUL

A LIGHTING WORK WITH ARDUINO 147

AYKUT BILICI, ISMAIL SARITAS

DESIGN OF ISING MODEL SIMULATION 148

NIGMET KOKLU, GULENAY AKGOBEK, ATILLA GULEC

DESIGN AND IMPLEMENTATION OF A METAL PRODUCTION CONTROL

SYSTEM WITH USE OF MICROCONTROLLER

149

ADEM GOLCUK, BURAK TEZCAN, MEHMET BALCI, SAKIR TASDEMIR

xvii International Conference on Advanced Technologies (ICAT’18)


1 International Conference on Advanced Technologies (ICAT’18)


CONTROL OF WIND PHOTOVOLTAIC BATTERY HYBRID SYSTEM

ENERGY MANAGEMENT AND POWER FLUCTUATION MITIGATION

SYSTEM

SULEYMAN EMRE EYIMAYA1, GUNGOR BAL2, NECMI ALTIN3

1 Ankara University, Turkey; 2 Gazi University, Turkey; 3 Gazi University, Turkey

ABSTRACT

Wind and solar energy are of great importance in renewable energy sources. However, due

to natural conditions changes in wind speed and solar radiation, it is also difficult to

provide balancing in supply and demand in power grid. Therefore, hybrid usage of these

sources and supporting these sources with an energy storage system have become

common. In these hybrid systems, an energy management system to control the sources

and to match the generation and demand is employed. In addition, natural variations of

wind speed and solar irradiation results power fluctuations with has negative effects on

power quality and power system stability. In this study, an energy management system to

provide a balance between the generation and demand and to mitigate the power

fluctuations is proposed. The hybrid system combining the wind turbine, the photovoltaic

modules and the battery energy storage system has been modeled and tested through

MATLAB / Simulink simulations. The simulation results proved that the proposed hybrid

system provide the power balance between the supplies and loads, reduces power

fluctuations, and improves the power system stability.

KEYWORDS - Hybrid System, Wind Power, Photovoltaic, Power Fluctuation, Mitigation



DESIGN OF FUZZY LOGIC BASED LIQUID COOLING SYSTEM FOR

ELIMINATING THE BEARING FAULTS IN THREE PHASE ASYNCHRONOUS

MOTORS

HASAN ERDINC KOCER 1, FERHAT HALAT 2

1 Selcuk Universitesi, Turkey; 2 Elektrofer Motor Reduktor San Tic Ltd Sti, Turkey

ABSTRACT

In the industry, electrical motors, no doubt, play a major role in machinery movement.

Major steps have been taken with the invention of electric motors in the industry and have

reached so far. These machines appearing wherever there is production has a great

importance. These machines constantly working in the field of manufacturing will exhibit

both electrical and mechanical failures over time. To immediately detect this failure and to

give way machine again is the most desirable situation because to stop the machine in the

factories due to breakdown is undesirable. The breakdowns have been occured generally

in bearing region. This is baceuse of bearing region includes movement parts and big

frictions. In this study, in bearing and ball bearing of three-phase asynchronous motors;

with PLC system an innovative liquid cooling system based fuzzy logic was designed

against overheating caused by overload, axial mounting errors and atmospheric conditions.

At the end of the experimental results, it has been achieved effective cooling system. It has

been observed that performance and lifetime of electric motors are increased by this

cooling system.

KEYWORDS - Liquid Cooling System, Fuzzy Logic, Bearing Fault



DESIGN OF EFFICIENT PHOTOVOLTAIC SYSTEM DESIGN THANKS TO

SUNLIGHT DATA

SULEYMAN EMRE EYIMAYA1 , HARUN ARSLAN2

1 Ankara University, Turkey; 2 Tubitak, Turkey

ABSTRACT

Because of the geographical position of our country, solar energy is the fastest growing

energy source for renewable energy sources for our country. In this study, it is aimed to

design a solar panel system in Turhal city to obtain clean energy by taking advantage of

solar energy. Turhal times of sunshine, solar radiation values, temperature data were

obtained for a period of one year and as a result the most efficient system was designed.

The solar panel and solar panel system were modeled in MATLAB / Simulink and the

necessary calculations and designs were made as a result of the simulation. The amount of

electric energy that can be generated by the modeled system is recorded monthly and

annually. Along with this system, it is planned to provide clean renewable electricity

energy in the district as well as to realize an efficient electricity energy infrastructure.

KEYWORDS - Photovoltaic, Solar Panel, Solar Radiation, Renewable Energy, MATLAB



ENERGY STORAGE SYSTEM PROPOSAL FOR THE SOLUTION OF POWER

QUALITY PROBLEMS IN WIND TURBINES

SULEYMAN EMRE EYIMAYA1, HARUN ARSLAN2

1 Ankara University, Turkey; 2 Tubitak, Turkey

ABSTRACT

The wind is the air movements that are caused by the warming of the earth and the effects

of the forces resulting from its cooling. It is the fastest growing renewable energy source

thanks to wind power, developing technologies and economic competitiveness. Wind

energy provides a large contribution to the electricity needs of the existing grid. However,

since the wind intensity is variable, the energy provided is not consistent and varies with

time. These changes cause many problems in power quality. Moreover, in wind turbines,

there is a need for efficient storage systems in which excess energy can be stored during

periods of excessive energy production, and stored energy can be transferred to demand

when energy is generated. In this study, the problems of power quality in wind turbines

and solutions containing energy storage system have been studied.

KEYWORDS - Power Quality, Wind Turbine, Renewable Energy, Energy Storage

System, Grid



DEVELOPMENT OF TRANSIMPEDANCE AMPLIFIERS FOR DIFFERENT

INPUT FREQUENCY VALUES

HARUN ARSLAN1, MEHMET AKIF ERISMIS2

1 Tubitak, Turkey; 2 Necmettin Erbakan University, Turkey

ABSTRACT

Transimpedance amplifiers are preferred for the analogue front-end circuits that convert

the weak current input to a readable voltage level. In this study, it is aimed to evaluate by

using simulations and optimizations which opamp based transimpedance amplifiers are

more appropriate for analog front-end circuits for different frequency needs. The noise,

stability and gain optimization of the LF347 opamps with 50 kHz to 300 kHz sinus carrier

frequency were optimized by changing the capacitor (CF) and resistance (RF) values used

in the feedback loop for different input capacitor values using the LTSpice simulation

program. Signal to noise ratio (SNR) and GBW are also taken into account. It is observed

that as the CF feedback capacitor value is increased, the gain value starts dropping and

SNR and Vnoise values decrease, however, the system becomes more stable. As the RF

feedback resistance value is increased, the gain value increases and the SNR value and

Vnoise values increase.

KEYWORDS - Transimpedance Amplifiers, Gain, Noise



COMPREHENSIVE COMPARISON OF SOLAR PHOTOVOLTAIC MAXIMUM

POWER POINT TRACKING TECHNIQUES

RAHMI ILKER KAYAALP1, TUGCE DEMIRDELEN2, MEHMET UGRAS CUMA3,

KAMIL CAGATAY BAYINDIR4, MEHMET TUMAY5

1 Cukurova University, Turkey; 2 University of Adana Bilim ve Teknoloji, Turkey; 3 Cukurova University, Turkey; 4 University of Ankara Yildirim Beyazit, Turkey;

5 University of Adana Bilim ve Teknoloji, Turkey

ABSTRACT

Along with the trend towards renewable energy sources, efficiency studies about

photovoltaic (PV) applications have been increased in recent years for solar power

applications. While obtaining better energy from PV panels, irradiance level and ambient

temperature are changing during the day conditions. In order to take maximum power

during different periods of time, Maximum Power Point Tracking (MPPT) techniques are

used. In this paper, these MPPT algorithms are introduced and compared each other for

being useful about MPPT applications.

KEYWORDS - Solar Energy, PV panels, Maximum Power Point Tracking Techniques,

Comparison.



FPGA BASED 3 PHASE SYNCHRONOUS MOTOR CONTROL

ABDULKADIR SADAY1, HULUSI KARACA2, ILKER ALI OZKAN3, ISMAIL

SARITAS4

1-4 Selcuk University, Turkey

ABSTRACT

Permanent magnet synchronous motors (PMSM) are motors with supply current and

induced voltage waveform is sinusoidal. Generally can be supplied from a AC or DC

source. They react quickly to the applied voltage. Due to structural limitations in PMSMs,

the flux in the air gap is not uniform. This causes torque fluctuations. This fluctuation

problem can be solved by using various controllers in controller structure. In the literature,

PMSMs are controlled by different control methods such as direct torque control (DTC),

field-oriented control (FOC). Various feedback systems have been used to eliminate the

problem of torque fluctuation, and the PI controller is the most commonly used. In this

study, a controller design was made using an FPGA development board to provide

continuous magnet synchronous motor control and to measure responses at various

parameters. With this design, PMSM is controlled by vector control method. In order to

prevent torque fluctuations during control, a PI controller is used and the controller uses

current data from each phase as feedback.

KEYWORDS - FPGA, Motor Control, Synchronous Motor Control, PI Controller



DESIGN AND IMPLEMENTATION OF A VISION BASED FACE

RECOGNITION SYSTEM BY USING SURF METHOD

MEHMET DEMIR1, RASIT KOKER2

1 Sakarya University Faculty Of Technology, Turkey; 2 Sakarya University Faculty Of Technology, Turkey

ABSTRACT

Face detection and recognition systems are one of the most important topic in many

applications especially in security based systems. In this paper, a face detection and

recognition system will be presented based on computer vision by using a AHD camera.

The recognition system will be developed by using Open CV library in C++ Programming

Language based on Surf method. Surf method produces significant digital values regarding

object to be recognised. The recognition will be done based on produced outputs from the

surf method in the prepared software. The image will be captured to the computer by using

open Cv and then the image will be converted to grey level image to be given to Surf

method. In the face recognition system will be implemented in a real time environment for

any scenario application.

KEYWORDS - Computer Vision, Opensource, Open CV, Face Recognition, Image

Processing, Surf



THE POTENTIAL OF BIOGAS ENERGY IN CENTRAL AREAS OF PALESTINE

MAHER AL MAGHALSEH1

1 Palestine Polytechnic University, Palestinian Territory

ABSTRACT

The power sector in Palestine suffer from several problems. The systems are aged and

inefficient, electricity supplies are unreliable, and the generation is dependent on Israeli

source by 92%. The rest of demand supplied by Egypt through Rafah interconnection

point and Jourdan through Jericho interconnection point. Furthermore, the electrical

energy demand has increased rapidly in the last years due to the growth in population and

industrial sector. However, the development of the Palestinian power sector is essential

and alternative sustainable solutions are required. This paper presents the potential of Bio-

gas in the central area of Palestine. The study is described a design and detail analysis of a

biogas based power plant for commercial usage. The size of the plant is up to 3 MVA and

working on natural gas. The natural gas is produced from Animal dungs by an aerobic

digesters. Furthermore, the study clearly described the effects of the plant on the existing

network with respect of voltage profile, power flow, and power losses. Finally, an

economic analysis of the system will be evaluated.

KEYWORDS - Biogas, An Aerobic Digester, DG. Load Flow, Power Plant



DESIGN AND IMPLEMENTATION OF FUZZY LOGIC BASED SPEED

CONTROLLER FOR A VANE TYPE PNEUMATIC MOTOR

BAYRAM KUCUK1, ISMAIL ATACAK2, CETIN ELMAS3

1 Duzce Universitesi, Turkey; 2 Gazi Universitesi, Turkey; 3 Gazi Universitesi, Turkey

ABSTRACT

In this study, a fuzzy logic (FL) based control algorithm is proposed for the speed control

of a vane type pneumatic motor and its application is carried out through an

experimentally prepared prototype. The prototype consists of 4 basic components: a

compressor, a proportional valve, a pneumatic motor and an electronic control card. In this

structure, the FL based speed control algorithm is implemented via the PIC18F452

microcontroller mounted on the electronic control card while the proportional valve is

used to adjust the flow rate of air from compressor. An encoder is used to gets and

transmits the speed data signal of the pneumatic motor to the microcontroller. The speed

control of the pneumatic motor is performed at high and low speed references in

experimental studies. The obtained results showed that the FL based speed control

algorithm has a good performance at given speed references.

KEYWORDS - Pneumatic Motor, Fuzzy Logic Algorithm, Speed Control, Proportional

Valve.



COMBINED DCT AND DST OFDM SCHEME FOR VISIBLE LIGHT

COMMUNICATION

IDRIS CINEMRE1

1 Igdir University, Turkey

ABSTRACT

Visible Light Communication (VLC) is one of the optical wireless techniques using

intensity of the light in modulation. Orthogonal Frequency Division Multiplexing (OFDM)

is extensively preferred to prevent Inter-Symbol Interference (ISI) in broadband wireless

communication. Despite OFDM reduces ISI, it suffers from high Peak-to-Average Ratio

(PAPR). Owing to the use of Discrete Fourier Transform (DFT) in OFDM, symbols are

complex and bipolar. Because of the characteristic of light, the symbols to be used in VLC

must be real and unipolar; that’s why, the OFDM in VLC should be modified. In

transmitter side, Hermitian symmetry is used to make symbols real. Employing the

Hermitian symmetry reduces the spectral efficiency to half. When real valued transforms

(Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST)) are applied

instead of DFT, the use of the Hermitian symmetry is not required. Two main techniques

are proposed to obtain positive symbol in VLC; Asymmetrically Clipped OFDM (ACO-

OFDM) and DC Biased OFDM (DCO-OFDM). When the symmetric extension for the

first half of the symbols is processed into IDCT, odd symbols become zero. In the same

way, when the asymmetric extension for the second half of the symbols is processed into

IDST, even symbols become zero. In our new scheme, these two properties form the basis

of our study. Bit-Error Rate (BER) and PAPR performance of this technique is going to be

compared with DFT based OFDM schemes.

KEYWORDS - Visible Light Communication, Light Emitting Diodes, OFDM Modulation,

Discrete Fourier Transforms, Discrete Cosine Transforms



USE OF DEEP LEARNING IN THE DEFENSE AND SECURITY SECTOR

ALI YASAR1, ISMAIL SARITAS2

1 Selcuk University, Turkey; 2 Selcuk University, Turkey

ABSTRACT

As the productivity of the technology increases, the size of the cameras decreases and the

energy demand decreases accordingly, so that the daily use of the camera increases

exponentially. Worldwide, the number of mobile devices produced is 2 billion per year,

but the number of cameras is well above this figure. In the field of defense, the need to

provide processor support for optics mounted on weapons has increased the amount of

data that must be immediately examined on all moving platforms. Given the increased use

of cameras in defense and security areas, not only the objects in the picture or video

stream, but also the relationship of objects to each other opens the way for instant

intelligent evaluation of each camera system, saving a great deal of human resources for

Content-Focused systems. As a result; As a result of the mobile revolution that began in

2000, the development of profits, deep learning of robots in everyday life will gradually

increase with the development of internet and semi-autonomous systems of objects in

recent years. With the developing technology, experience in a specific field of expertise

will be transferred to the systems without system with increased reality applications.

KEYWORDS - Deep Learning, Defense and Security Sector, Cameras



MODE SPLITTING IN PHOTONIC CRYSTAL COUPLED CAVITY

WAVEGUIDES

OZGUR ONDER KARAKILINC1

1 Pamukkale University, Turkey

ABSTRACT

Essential components of photonic crystal which are channel drop filters and coupled cavity

waveguides are exploiting the coupling of defect modes. Splitting of a single cavity mode

into a high contrast dual cavity mode with an ultra-narrow line width is highly useful in

optical communication where the multi-wavelength filters are an indispensable element

(Noble et al., 2016; Lu, 2011). Degeneracy is a result of the symmetry properties of the

modes in the photonic crystal (Kim and Lee, 2003). The degeneration of the modes can be

broken by introducing a perturbation in the photonic crystal cavity. Then the defect modes

have different frequency and split. With the mode splitting method, more frequency bands

are allowed in the resonance structure, and thereby, the signal processing ability is

enhanced (Karakilinc and Dinleyici 2015; Karakilinc 2017, Zhang et al., 2008). In this

study, degenerate mode based photonic crystal (PhC) coupled cavity waveguide is

proposed and mode splitting properties are investigated. Proposed coupled cavity

waveguide constructed by two point defect rods are placed in a bent form in two-

dimensional (2D) square lattice PhC structure with alumina rods in air substrate. Apart

from the previous studies, degeneracy is broken by changing the dimension properties of

the PhC coupled cavity waveguide system. The transmission characteristics of the

designed coupled cavity are verified by using numerical simulation programs. The

simulated results show that the modes at the normalized frequency of 0.334 are split.

Mode splitting can be tuned by the dimension of two coupled cavity waveguide. The

proposed photonic crystal spectral filters structure can effectively be used for optical

communication applications.

KEYWORDS - Degenerate Modes, Photonic Crystal



SMART OVEN DESIGN AND REALIZATION WITH PLC

ABDULAZIM HANSU1 , ADEM GOLCUK2

1 Faculty Of Engineering Selcuk University Konya Turkey, Turkey; 2 Faculty Of Technology Selcuk University Konya Turkey, Turkey

ABSTRACT

In terms of more efficient use of energy in the world, work on ovens with high energy

efficiency and ease of use is increasing day by day. In electric ovens today, control

methods are highly developed and the data used to control them are being increased. In

this study, for the purpose of determining energy consumption in electric ovens, cooking

time, cooking programs and methods affecting cooking quality; various articles and

patents have been examined. After the inspection, general information about the most

suitable baking temperatures, program and the duration of the baking was obtained. By

considering the weight of object that will be cooked by approaching this subject with

engineering viewpoint, PLC controlled electric oven is designed to control temperature

and cooking time. User can set temperature control, cooking time and program with touch

screen. Through this screen, the user can also follow the cooking process graphically. In

future work, the software and equipment of the designed system can be developed to

control the cooking process of more products.

KEYWORDS - PLC, Oven, Energy, Control Methods, Cooking Time, Cooking Programs,

Cooking Quality, Baking Temperatures, Weight



OVER AND UNBALANCED LOAD ANALYSIS IN LOW VOLTAGE GRIDS

ZEYNEP KAYA1, NAZIM IMAL2, OMER TURKARSLAN3

1 Bilecik Seyh Edebali University, Turkey; 2 Bilecik Seyh Edebali University, Turkey; 3 Bilecik Seyh Edebali University, Turkey

ABSTRACT

Electric power systems are constructions that include alternators, transmission lines,

transformers and protection elements where energy transfer is carried out from energy

sources to the last consumer. It is desirable that this energy transfer be performed as

balanced as possible, as well as the equipment must be within the operating limits. In

electrical energy systems, current and voltage values are monitored primarily without

setting operating limits and equilibrium state. Along with tracking frequency and harmonic

magnitudes, they have less risk than current and voltage. Because the differences in the

current and voltage values of the over and unbalanced loads in the grids are much more

destructive. For these reasons, current and voltage magnitudes are taken into account in

the overload and unbalanced load analyzes performed in operation. The disturbing effects

of different types of faults on current and voltage sinusoidal structures are investigated. In

the case where the degradation can not be solved, an application that disables the faulty

part is modeled and simulated on the real circuit.

KEYWORDS - Energy Transfer, Low Voltage Grids, Overload, Unbalanced Load,

Disturbing Effects, Degradation



THE EFFECT OF EMBEDDED FULLERENE ON PHOTOLUMINESCENCE OF

POROUS SILICON

AYAZ BAYRAMOV1

1 Institute Of Physics, Azerbaijan

ABSTRACT

The effect of embedded fullerene on photoluminescence of porous silicon A. Bayramov,

T. Dzhafarov, N. Mamedov, M. Sadigov, S. Ragimov, S.Asadullayeva Institute of Physics,

Azerbaijan National Academy of Sciences. H. Javid 131, Az 1143 Baku, Azerbaijan

[email protected] Fullerene (C60) thin films (20-200nm thick) were deposited onto

Si (ρ=10 Ω.cm) with porous silicon (PS) layer and soda lime glass (SLG) substrates by

sublimation of 99.9% purity C60 (USA, Aldrich) in vacuum. During deposition the

substrates were kept at room temperature. PS (10-20 μm thick) was produced by etching of

Si plates in HF: H2O solution under white light illumination. The surface morphology,

luminescence, electrical and optical properties of C60 layers were studied by atom force

microscope (AFM), transmission electron microscope (TEM), Raman spectroscopy,

energy dispersive x-ray spectroscopy (EDX), photo luminescence spectroscopy, optical

ellipsometry, optical transmission and reflection measurements. TEM measurement

revealed that during deposition process C60 diffuses into pores of PS and fills them. The

optical band gap of C60 thin films deposited on SLG, obtained from spectroscopic

ellipsometry and photoluminescence measurements was found to be 2.15 eV.

Photoluminescence spectrum discovered that C60 film deposited on PS (C60/PS)

exhibited very intensive emission (up to 50 times higher than that of C60/Si and C60/SLG)

and broad profile with well-resolved fine structure. A significant increase of the emission

intensity, observed in C60/PS structures was explained by the perturbation of the

delocalized π- orbitals, leading to relaxation of the selection rules for optical transitions

due to the strong interaction between C60 molecules and PS walls.

KEYWORDS - Porous Silicon, Fullerene, Luminescence



NOVEL STABILITY AND PASSIVITY ANALYSIS FOR A JOSEPHSON

JUNCTION CIRCUIT

MUZAFFER ATES1, RIDVAN SARACOGLU2, MERVE GENEL3

1 Van Yuzuncu Yil University, Turkey; 2 Van Yuzuncu Yil University, Turkey; 3 Van

Yuzuncu Yil University, Turkey

ABSTRACT

Arbitrary interconnections of passive resistors, inductors, and capacitors define passive

systems (with or without the external sources). In this paper, we investigate the global

asymptotic stability and strict passivity of a Josephson junction circuit with proof. We also

give a simulation to ilustrate the advantages of our approach.

KEYWORDS - Passivity Analysis, Stability, RLC Circuit



REALIZATION OF TRAVELLING WAVE BASED SINGLE ENDED FAULT

LOCATION METHOD

UGURCAN GOKCE1, AYSEN BASA ARSOY2

1 Kocaeli University Electrical Engineering Depertmant, Turkey; 2 Kocaeli University Electrical Engineering Depertmant, Turkey

ABSTRACT

Because of increasing energy demand people cannot tolerate small-scale electricity

interruptions in today's energy world. However, it is inevitable that fault occur in growing

energy transmission lines that the system is affected by the disruptive effects of faults. For

this reason, it is necessary to determine the fault location (FL) very quickly and reliably.

The difficulty of detecting the location of faults in complex power systems leads

researchers to study and develop new methods on this subject. The traveling waves (TW)

based FL is one of these methods. In this method, the location of the fault is determined by

arrival times of the reflections of the high frequency transient waves moving to both ends

of the line from the fault point. Transient waves can be measured by single end (SE) and

double end of the transmission line. SE measurement is more appealing because it does

not need information and communication from remote end. However, the reflected waves

occurring at different points cannot be easily distinguished, this would be a major

challenge of this FL technique. This study presents a single ended traveling wave based

fault locating (SETWFL) method and examines alternative approaches without using any

transform to overcome this drawback. Firstly, relative timing technique then line

parameters technique using voltage and current from a given point with line characteristic

impedance are described to identify the reflected TW. Secondly, advantages and

disadvantages of these methods are compared to each other. Finally, more useful method

in identification of reflected TW is explored.

KEYWORDS - Fault Location, Power Systems, Transmission Lines, Travelling Waves,

Single Ended Measurements.



ENERGY OPTIMIZATION BY DETERMINING PID COEFFICIENTS BY

GENETIC ALGORITHM IN MARINE DUAL FUEL ENGINE

TAYFUN UYANIK1, YASIN ARSLANOGLU2, OZCAN KALENDERLI3

1 Istanbul Technical University, Turkey; 2 Istanbul Technical University,

Turkey; 3 Istanbul Technical University, Turkey

ABSTRACT

In ships, fuel amounts are the biggest items that affect the cost of one voyage. All the

professional operations on a ship affect fuel consumption. Of all the clients on board, the

most important is the ship's diesel engine that produces the main energy that provides the

joy of the ship. For this reason, in recent years, the issue of improving the energy

efficiency of ship diesel machines has gained momentum. In this study, a mathematical

model of a dual-fueled ship diesel engine was investigated. According to the mathematical

model, the energy consumption of the ship has been tried to be optimized. For this

purpose, the PID coefficients to be used in the optimization of the ship diesel engine

mathematical model have been determined with the help of genetic algorithm.

KEYWORDS - Ship, Energy, Optimization, Genetic Algorithm, Pid, Dual Fuel Engine



A GENERAL OVERVIEW OF OPTIMIZATION METHODS USED IN

ELECTRICAL MACHINES APPLICATIONS

SELVA BAL1, INAYET OZGE AKSU2, TUGCE DEMIRDELEN3

1 Iskenderun Technical University, Turkey; 2 Adana Science And Technology University,

Turkey; 3 Adana Science And Technology University, Turkey

ABSTRACT

With the development of technology, existing devices in the industry need to improve.

Minimizing the size of the devices and getting maximum performance from them are the

most important problems. For that reason, there is a lot of interest and work now in this

area. Synchronous generators and induction motors are the most common types of electric

machines. These machines are most often used in the industry. Induction motors constitute

a very important place in the industry in order to be able to work smoothly especially

under very heavy working conditions. Due to its cost and easy production features,

induction motors have wide application area. Besides, synchronous generators are

commonly used in power stations to generate electric power. Regarding electricity

generation, synchronous generators are widely used to generate AC electricity, although

there is no network infrastructure available. Optimization is the process of finding the

most appropriate solution from a set of solutions. Many different methods have been

developed for solving optimization problems. Heuristic optimization algorithms are some

of these methods. Heuristic methods are the optimum solution methods for solving large-

scale optimization problems in the desired time. As technology has improved in recent

years, optimization methods have to be used in order to achieve maximum performance

with minimum cost of electric machines. New heuristic methods are applied to solve this

problem. For this purpose, optimization methods used for electrical machines in the

literature are examined and an overview is given about the future studies about the

optimization applications of these machines in the industrial field.

KEYWORDS - Electrical Machines, Optimization, Heuristic Methods, Performance, Cost.



A REVIEW ON THE FORECASTING OF SOLAR GENERATED POWER

TUGCE DEMIRDELEN1, FIRAT EKINCI2, ESRA SARAC ESSIZ3, INAYET OZGE

AKSU4, MEHMET BILGILI5

1 Adana Science And Technology University, Turkey; 2 Adana Science And Technology

University, Turkey; 3 Adana Science And Technology University, Turkey; 4 Adana

Science And Technology University, Turkey; 5 Cukurova University, Turkey

ABSTRACT

Today, 80% of the global energy is derived from fossil fuels. Renewable energy sources

play the most critical role in reducing dependence on fossil fuels such as coal, oil and

natural gas. Renewable energy is an energy source that can be obtained from natural

sources and can be fortified permanently by nature. These sources can be listed as solar

energy, wind energy, wave energy, geothermal energy, hydrolic energy, biomass energy.

By the end of 2015, approximately 23.7 % of the world's electricity produced was

produced using renewable energy sources. From these sources, solar energy is an

alternative to fossil fuels because it is a clean source of resources in terms of the

environment. Energy generation using solar energy is the most popular of renewable

energy sources applications. Photovoltaic (PV) solar panels are equipment that directly

converts daylight into electrical energy. In the world, solar power is rapidly becoming a

generation technology of significance. Power forecasting is an important factor for

planning the operations of photovoltaic (PV) system. Unpredictability and variability of

solar power generation is one of the fundamental difficulties faced by power system

operators. Good forecasting tools are urgent needed under the relevant issues associated

with the integration of solar energy into the power system. This paper gives a survey on

the general back ground of research and developments in the fields of solar power

forecasting. Based on the assessment of solar power forecasting models, further direction

for additional research and application is proposed.

KEYWORDS - Forecastıng, Solar, Power



SHORT TERM WIND SPEED PREDICTION A COMPREHENSIVE REVIEW

TUGCE DEMIRDELEN1, FIRAT EKINCI2, ESRA SARAC ESSIZ3, INAYET OZGE

AKSU4, MEHMET BILGILI5

1 Adana Science And Technology University, Turkey; 2 Adana Science And Technology

University, Turkey; 3 Adana Science And Technology University, Turkey; 4 Adana

Science And Technology University, Turkey; 5 Cukurova University, Turkey

ABSTRACT

Wind energy conversion systems have become a focal point in the research of renewable

energy sources. Recent years, the wind power is rapidly becoming a generation technology

of significance. With the integration of wind energy into electricity grids, it is becoming

increasingly important to obtain accurate wind speed/power forecasts. Accurate wind

speed forecasts are necessary to schedule dispatchable generation and tariffs in the day-

ahead electricity market. The short-term (1 to 48 hours) predictability of wind power

production from wind power plants in a power system is critical to the value of wind

speed. advanced wind power prediction tools, based on numerical weather prediction

models and designed for power system operators, are being developed and continuously

improved. Thus, several wind speed forecasting methods have been reported in the

literature over the past few years. This paper gives a comprehensive review on the general

back ground of research and developments in the fields of wind speed forecasting. An

overview of comparative analysis of various available forecasting techniques is discussed

as well. In addition, this paper further gives emphasis on the major challenges and

problems associated with wind speed prediction. In place of a quantitative description, a

qualitative approach is preferred for this review, remarking the contribution (and

innovative aspect) of each model. On the basis of the review, some topics for future

research are pointed out.

KEYWORDS - Wınd Speed, Predıctıon, Revıew, Short Term Predıctıon



A REVIEW OF POWER QUALITY PROBLEM CLASSIFICATION USING

ARTIFICIAL NEURAL NETWORKS

SELVA BAL1, INAYET OZGE AKSU2, TUGCE DEMIRDELEN3


Turkey; 3 Adana Science And Technology University, Turkey

ABSTRACT

Electric power is an important issue for electric users. One of the major problems facing

the industry is the power interruption. Even short-lived electricity interruption causes great

loss in terms of a company in the industry. At the same time, sensitive manufacturing

equipment can suffer major short-term interruptions. For this reason, the problem of power

interrupts precision manufacturing equipment and results in very expensive. Lightning

strikes, load variation equipment failure and capacitor switching etc. cause problems in

power quality problem. It also causes some corruption in the quality of the mistakes made

by the users unknowingly. For instance, the use of non-linear devices leads to an increase

in distortion in the load voltages and thus a harmonic problem arises. Therefore, problems

such as heating and burning occur in the used devices. Then these events can lead to larger

outcomes such as power failure in large areas. Besides that, the problem in power quality

can be given by: momentary interruptions, and transients etc. Artificial neural networks

(ANN) are widely used methods for classification due to their dynamic structure. ANN

teaches the system rather than program the system to perform certain tasks. In other words,

the artificial intelligence system is created to fulfill the desired tasks. For this reason, ANN

is used in many classification problems due to its learning and classification performance.

In this work, studies on classification of artificial intelligence method for power quality

problems in electrical power systems are examined. Literature research shows that the

ANN is widely used to classify the power quality problems. So that a short note is given to

the researchers who will work in this subject.

KEYWORDS - Power Quality Problem, Electric Power, Classification, Artificial Neural

Networks, Artificial İntelligence System.



INVESTIGATION OF THE SHIPS LIGHTNING PROTECTION SYSTEMS

TAYFUN UYANIK1, YASIN ARSLANOGLU2, OZCAN KALENDERLI3

1 Istanbul Technical University, Turkey; 2 Istanbul Technical University,

Turkey; 3 Istanbul Technical University, Turkey

ABSTRACT

Today, a significant portion of commercial freight transport is carried out by vessels.

Therefore, shipping industry is a big part of industry and trade. Even if a lightning strike is

in very short time, can cause huge damages to vital systems such as mechanical systems

and electrical system at the ship. In this situation, it is necessary to protect the vessels

against any material damage or loss of life that may occur. In this study, lightning

protection systems used today in ships have been examined comparatively. By

determining the advantages and disadvantages of the systems relative to each other, it has

been tried to determine in which situations the damage of the ship will be less in case of

lightning.

KEYWORDS - Ship, Lightning, Ship Lightning Protection



INFORMATION GEOMETRY AND FINSLER GEOMETRY BASED

APPROACHES FOR WIND ENERGY ANALYSIS

EMRAH DOKUR1, SALIM CEYHAN2, MEHMET KURBAN3

1 Bilecik S E University, Turkey; 2 Bilecik S E University, Turkey; 3 Bilecik S E

University, Turkey

ABSTRACT

The two-parameter Weibull distribution presents the modelling opportunity for nonlinear

structure in the real world problems. Modeling of wind speed which has nonsymmetrical

and unstable character is one of these real world problems. With the help of Finsler

geometry’s modeling ability of physical phenomena that are genuinely asymmetric and/or

nonisotropic more accurate modeling can be achieved. In this paper, two dimensional

Finsler space metric function is presented for Weibull distribution which is used in many

applications such as wind speed modeling. In addition, a novel approach, the information

geometry method, is used for parameter estimation of the two-parameter Weibull

distribution. Information geometry method is compared with other methods which are the

graphical method, method of Justus, method of Lysen, maximum likelihood method and

power density method.

KEYWORDS - Finsler Geometry, Information Geometry, Wind Energy, Weibull

Distribution.



3D DRY TYPE TRANSFORMER TECHNOLOGY

SELVA BAL1, TUGCE DEMIRDELEN2, MEHMET TUMAY3


Turkey; 3 Cukurova University, Turkey

ABSTRACT

Nowadays, many definitions of sustainability are available and the most accepted one is

the definition which states our responsibility to establish a balance between society and the

environment. In terms of environmental sustainability, it should be focused on energy

saving and reduction of CO2 emissions. CO2 emissions in the atmosphere reach to 30

billion tones over the worldwide per year, and the concentration of it has increased to

140% before the industrial revolution until today. As the world population will most likely

be between six and nine billion after 2050, we need to find ways to consume our planet's

resources at a rate that will allow it to be renewed. As the demand and costs for electricity

increase with the world population, CO2 emissions also increase. Therefore, finding

solutions to increase the efficiency of our electricity infrastructure is a significant

influence in terms of reducing emissions and costs. Higher efficiency provided by low

losses also reduces the total cost of ownership of the electrical infrastructure while

avoiding the cost of unnecessary electricity generation. In recent years, a new product has

emerged as a revolution in transformers with the development of technology. Features: •

Much lower energy losses • Fewer footprints • Less construction work • No need for

special safety measures (fire detection) • No maintenance required • Longer transformer

life due to low thermal and dialectical aging • Closer installation option to the

consumption point to reduce losses • Optimal design for continuous improvement with the

availability of new materials that can be used • Low environmental pollution • No leakage

(closed system) which may cause flammable or pollution. • Compatible with damp and

dirty areas • Fire safe • High strength against short circuits • High capacity supporting

overload • High performance against seismic factor • Strength capacity against to the

strongest vibration and vibration conditions • Lower volume Usage of 3D dry type

transformers is suitable for industrial facilities, high-rise buildings, airports, train stations,

subways, hospitals, power plants, mining industry, shopping centers and other densely

populated areas (where there is a high risk of fire). 3D dry type transformers can also be

used for oil and gas industry, nuclear power plants and nuclear power submarine. In this

work, usage places, current development, future and needs for 3D dry type transformers

are presented in detail.

KEYWORDS - 3D, Transformer, Dry Type



BI SE THIN FILM PRODUCTION AND CHARACTERIZATION

FATIH AYDIN1, FATMA MEYDANERI TEZEL2, ISHAK AFSIN KARIPER3

1 Kastamonu University Taskopru Vocational High School, Turkey; 2 Karabuk University

Faculty Of Engineering, Turkey; 3 Erciyes University Education Faculty, Turkey

ABSTRACT

Chemical bath deposition method has been used for growing BiSe thin films on various

substrates. The produced thin films have been grown on substrates as glass, PMMA, ITO

and Si wafer. Deposition time, deposition temperature and pH are kept to be constant

during the production of thin films. The thickness of BiSe thin films, which are produced

by chemical bath decomposition (CMD) method, on ITO, glass, PMMA and Si wafer

substrate are 513, 468, 1039 and 260 nm respectively. According to GAXRD results, the

films, which are grown on glass and PMMA substrate, have amorphous structure, but, the

films, which are grown on ITO and Si wafer substrate, have peaks of Bi2Se3 crystal. Grain

sizes, crystallization number per unit area and dislocation density for ITO and Si wafer

substrate are calculated as 112,40 nm, 2.25x10-5 (1/nm2), 40.11x10-5 (1/nm2) and 43.04

nm, 7.91x10-5 (1/nm2) and 53.96x10-5 (1/nm2) respectively. The contact angles and

critical surface tension of distilled water, ethylene glycol, formamide and diiodamethane

liquids for thin films grown on glass, ITO, PMMA and Si wafers were obtained by the

Zisman method. The % transmittance and % reflectance values of thin films grown on

glass, ITO, PMMA are calculated as % T: 79.90, 92.76 and 67.37; % R: 6.18, 2.07 and

10.59 respectively. Eg values of thin films grown on glass, ITO, PMMA are calculated as

Eg= 1,92; 2,18; 1,60 (cm-1 eV)2. The extinction coefficients, refractive indexes and

relative dielectric constants of thin films grown on glass, ITO, PMMA are calculated as k=

0,007; 0,002 and 0,012; n= 1,65; 1,34 and 1,96; ε1 = 0,271; 0,083 and 0,528 respectively.

Sheet resistance, Hall mobility, sheet carrier densities, bulk carrier densities and

conductivity types for glass, ITO, PMMA and Si are 6.52x107, 6.65x101, 1.09x108 and

6.45x102 (Ω/cm2); 2.38, 1.21x10-1, 5.34 and 1.52 (cm2/V.s); 4.01x1010, 7.71x1017,

1.06x1010 and 6.34x1015 (cm-2); 4.58x1014, 1.50x1022, 1.02x1014 and 2.89x1020 (cm-

2); p, n, p and p, respectively. In addition, I-V characteristics of the thin films are obtained

by Van der Pauw method.

KEYWORDS - Chemical Bath Deposition (CBD), Bismuth Selenide, Thin Films



TO IMPROVE PRODUCING TORQUE AND SPEED CAPABILITY OF BLDC

MOTORS BY INCREASING CONDUCTION ANGLE

MEHMET CIHAT OZGENEL1

1 Erzincan University, Turkey

ABSTRACT

Brushless direct current motors (BLDCM) have a wide applications areas due to fact that

they have some advantages over brushed direct current and induction motors such as high

efficiency, fast dynamic response, easy speed control, having linear speed-torque

characteristic, maintenance free, noiseless operating. BLDC motors have some

disadvantages as well as having these advantages such as the use of a position sensor to

sense the rotor position and requires driver. In traditional BLDC motor drivers, phase

currents follow only any two of the three phase’s windings. The third one is empty and

commutation occurs in this phase winding during 60 electrical degrees. In BLDC motors,

commutation fulfils electronically. To fulfill the commutation, rotor position information

is needed. Because there are six intervals (step) in a period, one phase winding is

energized during 120-electrical degree in half period. Due to fact that current flows from a

phase winding during 120-degree in half period, this commutation is called 120-degree

commutation. In 120-degree commutation mode, only two phase windings are energized.

One phase is empty and during this time interval, commutation is done. Thus, in 120-

degree commutation mode, two phase windings in BLDC motors are active and they

produce torque and velocity. The third phase winding does not contribute production of

speed and torque. This causes the motor to generate less torque and speed than its

capability. It is possible to produce higher torque and speed of the motor by increasing the

duration of current passing through the phase winding. In this study, it is aimed to pass

current through a phase winding a longer time than 120-degree commutation method

which is more common. So, three-phase windings are active in the same time and phase

winding with no current flowing in 120-degree commutation method is energized and

contributes producing torque and speed. For this purpose, a new inverter controller has

been designed and manufactured to get more speed and torque from the BLDC motor.

KEYWORDS - BLDC Motor Control, 120-Degree Commutation, Position Sensor,

Increasing Conduction Angle



SPECIAL PURPOSE TRANSFORMERS

SELVA BAL1, TUGCE DEMIRDELEN2, MEHMET TUMAY3


Turkey; 3 Cukurova University, Turkey

ABSTRACT

One of the most important features of electric energy is that it can be easily transported to

far distances from where it is produced. Voltage level should be as high as enough to be

able to this transmission efficiently. As is known, the electric energy is produced as direct

current or alternating current. High-voltage energy transmission in direct current has

gained considerable importance in recent years. However, this issue has not reached the

desired level. However, since the voltage of the alternating current electric energy is raised

and lowered by the help of the transformers, it is important that the energy is transported

by alternating current. As an electric machine for decreasing or increasing the alternating

current without changing its power and frequency, transformers have an important role in

the transport of AC electrical energy. With the development of technology, the usage

places of transformers have also started to differ. These transformers are called special

transformers. Special Purpose Transformers (SPMs) are explained by its name itself, these

are made for a specific purpose / application. From designing to manufacturing everything

is special and specific. Few types of SPMs are listed below: • Dual Ratio Transformers •

Auto Transformers • Rectifier Transformers • Reactor Transformers • Earthing

Transformers • LT – LT Transformers • Dual Secondary Transformer for Solar PV

Application • Package Sub Station Transformer with RMU & LVDB In this work, usage

places and development of special purpose transformers are presented in detail.

KEYWORDS - Transformer, Special Purpose



PID CONTROLLER DESIGN FOR BOEING 767 AIRCRAFT

AZIZ KABA1, EMRE KIYAK2

1 Anadolu University, Turkey; 2 Anadolu University, Turkey

ABSTRACT

An aircraft may be modelled via dynamical equations that leads into the linear state –

space model. Such a modelling results in two different motion: longitudinal and lateral. In

passenger aircrafts, there are some systems and sub – systems that are assisting pilots via

automated tasks to ensure the safe flight from take – off to landing. One of these systems

is called as autopilot. An autopilot, especially during cruise, controls the aircraft to track

the right trajectory. To be in right flight path is crucial for aircrafts so as to prevent air

collision or passing from restricted areas or even no – fly zone. In this work, a PID

controller for longitudinal motion of the aircraft is presented. To show its efficiency, some

graphical results are depicted and commented for longitudinal state variables controlled by

designed controller. Results confirmed the designed PID controller is efficient for Boeing

767 aircraft longitudinal motion equations. This study was supported by Anadolu

University Scientific Research Projects Commission under the grant no: 1705F120

KEYWORDS - Pid, Control, Aircraft, Longitudinal Motion, Boeing 767



KALMAN FILTER MEASUREMENT NOISE OPTIMIZATION VIA PARTICLE

SWARM ALGORITHM

AZIZ KABA1, EMRE KIYAK2

1 Anadolu University, Turkey; 2 Anadolu University, Turkey

ABSTRACT

For over 50 years, Kalman filter is used as one of the most well – known estimation

algorithm. Although its complexity to proof mathematically, formulas that are being used

to calculate the corrected state variables are relatively easy to process for even embedded

and low – power controllers. When zero –mean, uncorrelated Gaussian noises are

considered, Kalman filter is promising to find the optimal solution in the linear solution

space as best linear estimator. But, in order to observe and estimate the state variables

correctly, Kalman filter needs some assumptions such as E[Vk*Vk] = Q and E[Wk*Wk] =

R must known where Vk is zero – mean Gaussian distributed process noise, Wk is zero –

mean Gaussian distributed measurement noise and E[] is expectation operator. So as to use

Kalman filter in convergent way, one must ensure the right initial values of the Q and R

covariance matrices or filter may work under sub – optimal conditions even issue

divergence. So in this study, a heuristic algorithm namely particle swarm optimization is

proposed to work with Kalman filter for optimizing the measurement noise covariance

value of the Kalman filter. A Monte – Carlo analysis is carried for addressing the

robustness of the proposed method. And results show that particle swarm algorithm

optimizes the R measurement noise covariance matrix and filter performs near - optimally.

A comparison is also made in order to show the efficiency of the proposed method with

ideal Kalman filter values and it is showed convergence is achieved. This study was

supported by Anadolu University Scientific Research Projects Commission under the grant

no: 1705F120

KEYWORDS - Kalman Filter, Particle Swarm Optimization, Measurement Noise,

Estimation



SYNTHESIS SURFACE TENSION OPTICAL AND DIELECTRIC PROPERTIES

OF BISMUTH OXIDE THIN FILM

FATIH AYDIN1, FATMA MEYDANERI TEZEL2, ISHAK AFSIN KARIPER3

1 Kastamonu University Taskopru Vocational High School, Turkey; 2 Karabuk University

Faculty Of Engineering Department Of Metallurgical And Materials Engineering,

Turkey; 3 Erciyes University Education Faculty, Turkey

ABSTRACT

Bismuth oxide thin film was deposited by Chemical Bath Deposition (CBD) technique

onto a glass substrate. The grain size (D), dislocation density (δ) and crystallites per unit

area (N) i.e. structural properties of the thin film were characterized as 16 nm, 39.06x10-4

line/nm2, 31.25x10-3 1/nm2, respectively. Optical transmittance properties of the thin film

were investigated by using a UV-VIS spectrophotometer. The optical band gap (Eg) for

direct transitions, optical transmission (T %), reflectivity (R %), absorption, refractive

index (nr), extinction coefficient (k), dielectric constant (ɛ) of the thin film were found to

be 3.77 eV, 25.23 %, 32.25 %, 0.59, 3.62, 0.04 and 2.80, respectively. The thickness of the

film was measured by AFM, and was found to be 128 nm. Contact angles of various

liquids on the oxide thin film were determined by Zisman method, and surface tension was

calculated to be 31.95 mN/m.

KEYWORDS - CBD Technique, Zisman Method, Optical Properties, Surface Tension,

Crystal Growth



A MATCHING ALGORITHM FOR CLOUD BASED UAV SWARM CONTROL

EBRU KARAKOSE1

1 Firat University, Turkey

ABSTRACT

In recent times, Unmanned Aerial Vehicle (UAV) are used in many scientific fields and

civilian applications such as search and rescue missions. Multi UAV is used for complex

missions and UAV swarm is used in more complex tasks. One or more ground control

stations may be required to control of UAV swarm. More ground control stations are

required instead of a ground control station for a UAV swarm with a large number of

UAVs. In this paper, a matching approach is proposed which will match between multiple

UAVs in the UAV swarm with more ground control stations required to control a UAV

swarm. This new approach that provides a connection and matching between clouds based

ground control systems and UAVs can be applied in real time. The performance of the

proposed approach has been proved with simulation results. Simulations with different

scenarios using cloud based multi ground control system and multi group in UAV swarm

have been carried out. Two and three groups in UAV swarm and two or three cloud based

control systems with different scenarios have used in simulations. Results have showed

effectiveness and usefulness of the proposed approach.

KEYWORDS - UAV Swarm, Cloud Computing, Matching



INCREMENTAL LEARNING BASED FAULT DIAGNOSIS APPROACH IN RAIL

TRACKS

YUNUS SANTUR1, MEHMET KARAKOSE2, ERHAN AKIN3

1 Firat University, Turkey; 2 Firat University, Turkey; 3 Firat University, Turkey

ABSTRACT

Rail tracks, one of the components of railway transport systems, require periodic

inspection and maintenance because of their physical conditions. Todays, this inspection

process is performed using computer vision. In this study, an approach using incremental

learning (IL) for fault diagnosis in railway lines is presented. The generation of the

diagnostic result in the rail tracks is basically considered as a classification problem in

which a rail profile is faulty or healthy or the fault class is determined. Components such

as ccd, cmos, three-dimensional cameras, sensors such as acclerometer, gyroscope,

magnetometer and encoder are used in rail inspection applications using computer vision.

In repeated rail inspection applications, for high accuracy results the training phase of the

machine learning algorithm should be repeated. However, the repetition of the training

process every time requires quadratic operation complexity. The reason for this is the

increase in the number and size of input data used in rail inspection. Making learning from

the new set of data at regular intervals, the addition of a new class learning model, wrong

learned from previous data sets / missing / redundant information requires removal of the

IL approach. IL has loglinear algorithm complexity compared to traditional machine

learning algorithms. IL has been successfully integrated into machine learning algorithms

to solve many industrial field for classification and regression problems. In the presented

study, the use of the IL-based approach to fault diagnosis in rail inspection reduced

computational complexity, increased the accuracy of the system, and the learning model

reduced the time needed for training phases. The presented study has been proven to be

feasible by testing at the same time.

KEYWORDS - İncremental Learning, Rail Inspection, Fault Diagnosis



DEVELOPMENT OF VIRTUAL AND AUGMENTED REALITY FRAMEWORK

FOR PREGNANCY HEALTH

YUNUS SANTUR1, SINEM GUVEN SANTUR2, MEHMET KARAKOSE3

1 Firat University, Turkey; 2 Papatyasoft Firat Teknopark, Turkey; 3 Firat University,

Turkey

ABSTRACT

In today's world, augmented / virtual reality based applications are widely used in many

areas. Virtual reality can be described as a visual experience of a simulated environment

on a computer. Augmented reality can be defined as the combination of the real world

environment and the simulated environment in the computer environment and the

experience of increased reality experience for the user. By using special apparatus and

sensors in the virtual reality applications, the user can be completely abstracted from the

real environment or the partial virtual experience can be realized with the virtual reality

glasses. Because of these features, virtual reality is widely used in applications such as

games, entertainment, simulator. Besides these; Augmented reality applications are widely

used in education, industry, and healthcare for education, simulation and testing purposes.

In this study, a proposal for the use of augmented / virtual reality applications in the health

field is presented. The aim of the study is to use the Augmented / Virtual reality

applications in the pregnancy process and training. In this study, augmented / virtual

reality applications were examined in the literatur, augmented and virtual reality

application development process was given and then mobile augmented / virtual reality

demo applications were carried out in order to be used in pregnancy tracking and training.

For the proposed application, artificial models were first created in Blender environment,

then these artificial models were programmed in the Unity development environment and

turned into a mobile application using the Android Sdk and ionic hybrid framework, and

these applications were successfully tested on the mobile environment.

KEYWORDS - Augmented Reality, Virtual Reality, Mobile Health Application



QUANTITATIVE PREDICTABILITY ANALYSIS OF FINANCIAL

INSTRUMENTS

ADIL GURSEL KARACOR1, TURAN ERMAN ERKAN2

1 Calendar42 B V, Netherlands; 2 Atilim University, Turkey

ABSTRACT

Huge amount of liquidity flows into a number of financial instruments such as stocks,

commodities, currencies, futures, and so on everyday. Investment decisions are mainly

based on predicting the future movements of the instrument(s) in question. However, high

frequency financial data are somewhat hard to model or predict as stochastic processes and

many other random factors are involved. It would be valuable information for the investor

if he or she knew which financial instruments were quantitatively more predictable. The

data used in our model consisted of 1-minute, 5-minute, 15-minute, 30-minute, 1-hour,

and 4-hour intraday frequencies covering the period between 1993 and 2013 with

approximately 65000 data points for each instrument and frequency. We applied an

Artificial Neural Network (ANN) model using Radial Basis Functions (RBF) containing

only past data of three different types of instruments (stocks, currencies, and commodities)

to predict future high values on six different frequencies. A total of 72 different artificial

neural networks representing 12 different instruments at 6 different frequencies were

trained five times each, and their prediction performances were recorded on average.

Considerably clear distinctions were observed on prediction performances of different

financial instruments.

KEYWORDS - Predictability, Financial İnstruments, Artificial Neural Networks,

Quantitative Analysis



IPV6 BASED 5G IOT CLOUD COMPUTING SDN NFV AND FOG COMPUTING

LATIF LADID1

1 University Of Luxembourg, Luxembourg

ABSTRACT

Summary: The public IPv4 address space managed by IANA(http://www.iana.org) has

been completely depleted back in Feb 1st, 2011. This creates by itself a critical challenge

when adding new networks and enabling any new services on the Internet. Without

publicly routable IP addressing, the Internet of Things, and anything that’s part of the

Internet, would be greatly reduced in its capabilities and then limited in its potential

success. Most discussions of IP over everything have been based on the illusionary

assumption that the IP address space is an unlimited resource or it’s even taken for granted

that IP is like oxygen produced for free by nature. The introduction of IPv6 provides

enhanced features that were not tightly designed or scalable in IPv4 like IP mobility, end

to end (e2e) connectivity, ad hoc services, etc. IPv6 will be addressing the extreme

scenarios where IP becomes a commodity service. This new address platform will enable

lower cost network deployment of large scale sensor networks, RFID, IP in the car, to any

imaginable scenario where networking adds value to commodity. IPv6 deployment is now

in full swing with some countries achieving over 60% penetration such as Belgium. The

US has some 95 Million users using IPv6 without even the users knowing it. India has

exceeded 120 M users accessing Google over IPv6. Apple has required its apps developers

to use IPv6 only for their apps starting from June 1st 2016, which is a great shot in the arm

of IPv6. There are many inflections happening this decade to influence the design of the

first tangible IoT, 5G and Smart Cities. It will be a combination of IoT, SDN-NFV, Cloud

Computing, Edge Computing, Big IoT Data, and 5G, to sift through to realizing the

paradigm shift from current research-based work to advanced IoT, 5G, and Smart Cities.

This talk will be devoted to analyse the transformative societal impact of IPv6 on the

potential mix of IPv6-based IoT, SDN-NFV, Cloud Computing, Big Data, and 5G and its

advanced features, highlighting the challenges and the solutions moving forward.

KEYWORDS - IPv6, 5G, IoT CC, SDN/NFV, FOG



A COMPARISON OF GEOID HEIGHT OBTAINED WITH ARTIFICIAL

INTELLIGENCE TECHNIQUES AND NUMERICAL METHODS

KEMAL TUTUNCU1, MEHMET AKIF SAHMAN2, EKREM TUSAT3

1 Selcuk University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk University, Turkey

ABSTRACT

The GNSS (global navigation satellite system) systems are used to obtain three-

dimensional (horizontal, vertical and ellipsoidal heights) coordinates of a point. Among

these parameters ellipsoid heights have a geometrical meaning whereas the height is

actually a geopotential value. Thus, it is very important to determine physical reference

surface in geodetic studies. GNSS only provides ellipsoidal heights (h), but in practical

work, orthometric height (H) is used. The relationship between these two heights is

obtained by H=h-N. At this point determination of geoid height (N)is necessary. Having

done in this study a network of 126 points was chosen within the borders Adiyaman in

South-eastern Turkey to make comparison of Artificial Intelligence based methods

(Artificial Neural Network and Adaptive Neural Fuzzy System) and numerical methods

(Regression and Polynomial curve fitting) regarding to modelling Geoid Height (N).

Reference geoid heights were obtained by GNSS/levelling method for all network. The

geoid heights obtained by upper mentioned methods were compared with actual data by

GNSS/levelling method. The results of the comparison were analysed.

KEYWORDS - Geoid Height, Global Navigation Satellite System (GNSS), Artificial

Neural Network (ANN), Adaptive Neural Fuzzy İnference Systems (ANFIS), Polynomial

Curve Fitting



DETERMINATION EFFECT OF ORTHOMETRIC HEIGHT FOR MODELLING

GEOID HEIGHT

KEMAL TUTUNCU1, MEHMET AKIF SAHMAN2, EKREM TUSAT3


ABSTRACT

Having done in this study a network of 126 points was chosen within the borders

Adiyaman in South-eastern Turkey to determine the effect of orthometric height (H) for

modelling Geoid Height (n) that provides transition between ellipsoidal heights and

orthometric heights. Four different methods namely Artificial Neural Network, Adaptive

Neural Fuzzy System, Regression and Polynomial curve fitting were used to see the effect

H on modelling of n. Reference geoid heights were obtained by GNSS/levelling method

for all network. The geoid heights obtained by both including H and not including H by

using upper mentioned 4 methods were compared and analysed.

KEYWORDS - Geoid height, Orthometric Height, Artificial Neural Network (ANN),

Adaptive Neural Fuzzy İnference Systems (ANFIS), Polynomial Curve Fitting



INTERNET OF THINGS BASED WASTE MANAGEMENT APPROACH FOR

SMART CITY

CANAN TASTIMUR1, YUNUS SANTUR2, SINEM GUVEN SANTUR3, MEHMET

KARAKOSE4, ERHAN AKIN5

1 Firat University, Turkey; 2 Fir, Turkey; 3 Papatyasoft, Turkey; 4 Firat University,

Turkey; 5 Firat University, Turkey

ABSTRACT

Controlling environmental pollution and coping with environmental pollution is one of the

problems of smart cities. By observing the occupancy rate of dustbin can be overcome this

problem. In addition to solving environmental pollution in smart cities, it is possible to

collect garbage by determining the route of garbage truck more optimally. In this way,

both environmental pollution can be prevented and vehicle fuel consumption can be

reduced. The occupancy rate of the garbage can be observed using certain methods. Once

the occupancy rate of the dustbin reaches a certain threshold value, the dustcart is directed

via a warning signal. There is a need to develop in waste management to provide a clean

and hygienic environment for the residents of the city. With the use of technologies such

as Internet of Things (IoT), it is possible to develop a smart waste management system for

smart cities. IoT technology plays an important role to make cities greener and safer. In

this study, we offer a smart waste management method. The route guidance is made to the

dustcart by monitoring the occupancy rate of the garbage. It is a matter of reducing the

fuel consumption of the vehicle by following the optimum route guidance of the garbage

trucks. Arduino UNO and Ultrasonic Sensors have been used to monitor the occupancy

rate of the garbage pails. ESP8266 Wi-Fi module provides internet connection. So that the

values obtained as a result of measurement of the filling of the trash can reach the system.

If the occupancy rate is higher than the specified threshold value, this garbage pail will be

added to the route of the garbage truck. And then optimal routes are created using

optimization algorithms for all destinations.

KEYWORDS - IoT, Smart City, Optimization, Elazığ



ANALYSIS AND REMOTE SENSING SYSTEM FOR VEHICLE EMISSIONS IN

SMART CITIES

EBRU KARAKOSE1, YUNUS SANTUR2, SINEM GUVEN SANTUR3, MEHMET

KARAKOSE4, ILHAN AYDIN5, ERHAN AKIN6

1 Firat University, Turkey; 2 Firat University, Turkey; 3 Papatyasoft, Turkey; 4 Firat

University, Turkey; 5 Firat University, Turkey; 6 Firat University, Turkey

ABSTRACT

With the increase of people and vehicles in cities, smart city applications are increasing

day by day. The increase in air pollution proportional to this increase also has an effect on

vehicle emissions. It is important to develop such an application in smart cities, while

there are some small solutions for remote sensing of vehicle emissions. In this study, an

approach is proposed for the remote measurement and analysis of vehicle emissions in

smart cities. For the proposed approach, firstly the points to be placed in the vehicle

emission measurement devices are found by the optimization algorithm. Then, these points

are evaluated with the analysis algorithm developed considering the factors such as traffic

density and city road structure and necessary suggestions are made. The performance of

the proposed approach was confirmed by visual environments and simulation results.

KEYWORDS - Smart City, Remote Sensing, Elazığ



A HEURISTIC MACHINE LEARNING APPROACH VIA SPARSE CLUSTERING

ANALYSIS

EMRE DUNDER1

1 Ondokuz Mayis University, Turkey

ABSTRACT

Cluster analysis has received great attention in machine learning field. Sparse techniques

are attractive alternatives for clustering problems. In this study a heuristic machine

learning approach is proposed to improve the performance of sparse clustering analysis.

Differential evolution algorithm is used to optimize the parameter of sparse k-means

algorithm. Numerical results indicated the success of the proposed heuristic approach. The

suggested approach can be also used in high dimensional machine learning problems.

KEYWORDS - Machine Learning, Heuristic Optimization, Sparse Clustering



BRAIN MAPPING OF EPILEPTIC EEG SIGNALS USING TIME DELAY

ALGORITHMS

MUSTAFA YAZICI1, MUSTAFA ULUTAS2, SUNBUL OZTURK3, OGUZHAN

CAKIR4

1 Karadeniz Technical University, Turkey; 2 Karadeniz Technical University,

Turkey; 3 Karadeniz Technical University, Turkey; 4 Karadeniz Technical University,

Turkey

ABSTRACT

Epilepsy is abnormal discharges of some nerves in brain and causes seizures. The reason

of seizure is mostly unknown. Drug theraphy is applied by physicians for stopping

seizures. It is known that 40% of patients are not recovered by drug theraphy. Surgical

operation can be the only cure for these epilepsy patients. It is very important to locate

Epileptogenic Zone (EZ) for surgery planning. Physicians are interested in diagnosing the

illness. Many neuroimaging methods exist, including Positron Emission Tomography

(PET), Single-Photon Emission Computerized Tomography (SPECT) and functional

Magnetic Resonance Imaging (fMRI). Despite they have higher spatial resolution, EEG

has better temporal resolution and mostly preferred neuroimaging method in the world.

Electrical Source Imaging (ESI) is non-invasive method and is very helpful guide for

physicians to identify EZ. In the literature many works have been done on this topic in the

last decade. We aim to contribute non-invasive studies for EZ detection using scalp EEG

signals. This paper proposed to apply the sound source localization algorithms to EEG

brain mapping area. Brain mapping results are compared with source localization results

and findings are analyzed by neurologist.

KEYWORDS - EEG, Epilepsy, Time Delay, Brain Mapping, Localization



E GOVERNMENT SERVICES PRACTICE AREAS CIVIL AVIATION IN

TURKEY

SAVAS SELAHATTIN ATES1, BAHRI KESICI2

1 Anadolu University, Turkey; 2 Directorate General Of Civil Aviation, Turkey

ABSTRACT

The main aim of the Government is to provide public services that protect the rights and

freedoms of the people, improve the material and spiritual existence of the citizens and

provide the peace and prosperity of the society. Public services are defined as "all

activities undertaken in order to meet the common and ongoing needs of the community,

in which the State or other public entities or private entrepreneurs are provided with close

supervision and control". E-government services are expressed as "the provision of state -

provided public services to citizens in the easiest and most efficient way, in a quality, fast,

uninterrupted and secure manner, in an electronic environment". E-government services

are based on the prior history of 40 years. In parallel with the use of developing

technology and increasing technology, e-government systems have also been developed.

The aim of the research in Turkey T. C. Ministry of Transport issued by the Directorate

General of Civil Aviation to examine the realization of e-government services and e-

government activities and to make recommendations on a model for Turkey. In this

context, in the first part of the research, the literature review that took the e-government

structure were included. In the second part, the structure of the e-government services

given in Civil Aviation General Directorate, which is the application field, was examined

with the corporate web page and e-services were analyzed with an easy-to-select face-to-

face interview technique. In the last part of the research, the e-government structure was

suggested in parallel with the world models. By analyzing the current situation in the

research, it has been revealed that a software that uses business process management

model can be created a model for Turkish e-government structure.

KEYWORDS - E-Government, Public Services, Civil Aviation



A DIAGNOSTIC SYSTEM OF THYROID DISEASE BASED ON K NEAREST

NEIGHBOUR CLASSIFICATION

MURAT KARAKOYUN1, ONUR INAN2, AYSE NAGEHAN MAT3

1 Necmettin Erbakan University, Turkey; 2 Necmettin Erbakan University,

Turkey; 3 Necmettin Erbakan University, Turkey

ABSTRACT

The classification is an important data mining technique for analysing data. Nowadays, it

can be seen that the classification process is applied on many different areas like medicine,

genetics and biomedical engineering. Especially the number of studies on classifying data

in the field of medicine has increased. They are used as crucial feature in the establishment

of decision support systems that can help doctors. In this study, a k-nearest neighbour

classification based artificial intelligence system is proposed, which can help to the

diagnosis of thyroid disease. In order to ensure the reliability of the results from the

system, k-fold cross validation is used. The diagnosis of the disease was found to be 95%

average accurate by using 10-fold cross-validation. The results were compared with the

results of the studies on the same data set in the literature. The results have been seen to be

very promising. For further works, it is considered to increase the accuracy of the decision

support system by applying various data mining pre-processing techniques in order to

improve the performance of the classifier.

KEYWORDS - Classification, Data Mining, K-Nearest Neighbour, Thyroid Data Set



AN ANALYSIS OF SOLUTION UPDATE EQUATIONS FOR ARTIFICIAL BEE

COLONY ALGORITHM WITH VARIABLE SEARCH STRATEGY

HUSEYIN HAKLI1, SEDAT KORKMAZ2, MUSTAFA SERVET KIRAN3

1 Necmettin Erbakan University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk

University, Turkey

ABSTRACT

The artificial bee colony, ABC, algorithm is a population-based swarm intelligence

algorithm, which mimics the foraging behavior of real honey bees. ABC algorithm uses

the same solution update rule for employed and onlooker bees. In an ABC variant, called

as ABCVSS, five solution update rule has been integrated, and an equation selector has

been proposed in order to improve its search capabilities. In the present work, we analyze

the effects of these update rules to the performance of ABCVSS algorithm. After five

solution update rules are divided into double, triple and quadruplet groups, the

performance of each group has been analyzed on some benchmark functions. In the

experiments, 30-dimensional thirteen functions are used and each group is run 30 times

with random seeds on these functions. The obtained results of the groups are compared

with each other and show that a double group is better than the others in terms of solution

quality.

KEYWORDS - Artificial Bee Colony, Variable Search Strategy, Numeric Functions,

Equation Group



AN IMPROVED VERSION OF TREE SEED ALGORITHM FOR CONTINUOUS

OPTIMIZATION

HUSEYIN HAKLI1, SEDAT KORKMAZ2, MUSTAFA SERVET KIRAN3

1 Necmettin Erbakan University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk University,

Turkey

ABSTRACT

Tree-Seed Algorithm is a recently proposed plant-based iterative optimization algorithm

for continuous optimization. The trees are used for generating seeds and they are possible

solution for the optimization problem. Its performance has been investigated on 2, 3, 4 and

5-dimensional numeric functions in first study. When the dimensionality of the problem is

increased, its performance decreases dramatically. In order to improve its performance on

high dimensional optimization problems, a novel variant of TSA has been proposed in this

study. The improvement consists of two important modifications, sequential seed

generation and withering of worst tree. While the basic version of the algorithm, a number

of seeds are created for a tree, the best of seeds are selected and compared with the current

tree. If the best seed is better than the current tree, this tree is removed from the stand and

the seed become a tree in the stand. In the first modification, after each seed is generated

for a tree, it is compared with the current tree and better of them located to the stand, this

procedure is called as sequential seed generation. In the second modification, all the seeds

are generated for all the tree, the worst tree is selected from the stand and it is withered

and a new tree is generated by using the random trees in the stand. The proposed

algorithm, called as TSASSGW, has been applied to solve some numeric functions, and

obtained results are compared with the basic TSA algorithm. The performance

comparisons show that TSASSGW improves the solution quality on the test functions

dealt with the study.

KEYWORDS - Tree-Seed Algorithm, Continuous Optimization, Sequential Seed

Generation, Worst replacement



BIG DATA SECURITY SURVEY

SENA EFSUN CEBECI1, ENVER OZDEMIR2

1 Istanbul Technical University, Turkey; 2 Istanbul Technical University, Turkey

ABSTRACT

The size of data is escalating exponentially and it makes storing, processing and analyzing

of it very complex and challenging. IBM report indicated that 90% of the Big Data

produced in the last two years and generated from online transactions, emails, videos,

audios, images, click streams, logs, search queries, health records, social networks, science

data, sensors, mobile phones and their applications. Moreover, on the next decade,

enterprise datacenters will be expected to grow by 50 times and IT professionals will

expand by 1.5 times. Another prediction is to have fifty billion devices will connect to

networks by 2020. All of these emphasize that the data will be much bigger in the near

future and so will the concerns of the security. For instance, NASA uses Big Data to

support research on astronomy to map stars in the sky and the researchers in the field of

biology use Big Data to solve complex structure of human genome. The Big Data is

related to security community in many respects. For example, large amount of data is

analyzed for malware detection, spear phishing and spying. The research on mathematics,

data modelling and programming helped developing tools to analyze the Big Data by data

scientists. Another aspect is to provide security methods/tools for integrity/confidentiality

of Big Data. Due to its high volume and velocity characteristics, the Big Data has potential

risks on privacy, storage and management issues that are all major parts of its security. In

this work, we present state-of-the-art of current Big Data security methods and

technologies as a survey and aim to address its strengths and weaknesses from security

aspect.

KEYWORDS - Information Security, Big Data, Search On Encrypted Data



REALIZATION OF COUNTING BLOOD CELLS USING IMAGE PROCESSING

TECHNIQUES

MUSTAFA NAVRUZ1, ADEM ALPASLAN ALTUN2, HASAN ERDINC KOCER3

1 Karamanoglu Mehmetbey University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk

University, Turkey

ABSTRACT

Computers are used effectively in medicine as well as in every field. Various operations

can be performed on medical images by using the ability of computers to perform fast

operations. Image processing applications such as image enhancement, object extraction

from the image can be applied very successfully and usefully on medical images. The

application developed in the research, performs the process of imaging the taken blood

sample with a microscope after the peripheral blood smear process and transferring the

images to computer and then subjected to a series of operations and counting the cells.

After the filtering operations on images obtained from two different sources, on counting

operations, counting successes were measured as 97.7 % and 94.4%.

KEYWORDS - Image Processing, Object Counting, Blood Cells, İmage Filtering



IMPACT OF TEMPERATURE CHANGES ON THE AMOUNT OF

PRECIPITATION IN KONYA

MEHMET AKTAN1, AHMET REHA BOTSALI2, KEMAL ALAYKIRAN3



ABSTRACT

Impact of global warming on environmental and meteorological parameters is an

important topic of debate today. The aim of this study is to investigate the possible effects

of maximum, minimum and average daily temperatures on the amount of daily

precipitation. The area selected for investigation is Konya, which is the largest producer of

wheat in Turkey. The maximum, minimum and average daily temperatures and daily

precipitation data, which are used in the analysis cover a period of more than 35 years. A

regression model is constructed to find the variables that are statistically significant over

the amount of daily precipitation. Results of the statistical analysis are discussed to find

out whether the temperature change is important for the amount of precipitation in Konya.

KEYWORDS - Statistics, Regression, Temperature, Global Warming, Precipitation



KNOWLEDGE REPRESENTATION OF ISLAMIC TEXTS

BENDJAMAA FAIROUZ1, TALEB NORA2

1 Badji Mokhtar, Algeria; 2 Badji Mokhtar, Algeria

ABSTRACT

In spite of the efforts made in the Arabic language on the syntactic and semantic level, it

remains very restricted, even those on the Arabic Sacred Book are few and very limited,

due to its difficulties and peculiarities. In this paper, we tried to shed the light on some of

the recent works that have been conducted to present a semantic representation and

manipulation of the Islamic texts to define the problems, limitations and the possible

future works that need our intention to improve the semantic support in the Arabic

religious texts. Furthermore, we intend to briefly present the project that aims to help us

reading, understanding, and interpreting the Islamic legislative sources. The goal of this

project is divided into two main tasks which are the creation of an ontology representing

the Islamic knowledge and the development of a system which can analyze this

knowledge. The ultimate goal is to assist the muftis and facilitate their job.

KEYWORDS - Ontology; Knowledge Representation; Natural Language Processing;

İnformation Retrieval; Semantic Search; Religious Studies; İnterdisciplinary Approach;

Decision-Making Systems.



DATABASE DESIGN FOR BUILDING HUMAN RESOURCES INVENTORY IN

THE CIVIL AVIATION SECTOR

SAVAS SELAHATTIN ATES1, HASAN LIK2, SEMRA KURAMA3

1 Anadolu University, Turkey; 2 Anadolu University, Turkey; 3 Anadolu University,

Turkey

ABSTRACT

The growth of the Turkish aviation industry in recent years has been faster than the growth

in the world. Within the scope of the regional aviation policy initiated in Turkey in 2003,

the number of commercial flights increased by 160%, seating capacity by 176% and cargo

capacity by 346% until 2013 (SHGM, 2015). The developing aviation sector has placed

the top position of the Turkish civil aviation sector in the world rankings. According to the

EU European Air Navigation Safety Organization (EUROCONTROL), Turkey is third in

terms of passenger rankings in the European air transport sector by 2015, 9th in terms of

world airline passenger rankings and 10th in terms of RPK (paid passenger kilometers)

(SHGM, 2016). The number of aircraft in 13 airline and air cargo operations in Turkey is

489 as of the end of 2015 (SHGM, 2016). The number of air taxi companies is 50, the

number of general aviation companies is 60, the number of balloon companies is 25, and

the number of agricultural pesticide companies is 39. In parallel with the growth in

aviation sector, the need for human resources is also increasing. While the number of

personnel employed in the aviation sector in Turkey was 65,000 in Turkey, this number

reached 180,570 in 2013. The number of personnel employed within 10 years increased by

200%, an average increase of about 20% annually (DHMİ, 2015). Personnel working in

the aviation sector need to be empowered by receiving the trainings defined by the civil

aviation authority within the framework of relevant legislation. According to the 2023

plans, the need for human resources in global aviation sector is estimated to be 600,000

technicians and 400,000 pilots (Koç, 2017). If Turkey's growth in the aviation sector

continues, it will be necessary to identify the available resources and train human

resources parallel to the pace of growth. Research will be completed in three phases; these

are the determination of human resource competencies needed, the development of a

database for human resource inventory, and the measurement of the success of the

software. The determination of human resource competencies includes the literature

review and expert opinion collection stages. In this direction, research universe, sampling

and sampling method will be determined. Software is going to be developed by "Design

Principles in Information Systems Research" method. The input of the data to the designed

software is planned to be completed be the Turkish Republic Ministry of Transportation,

Maritime Affairs and Communications, the General Directorate of Civil Aviation, and the

companies of Civil Aviation Sector.

KEYWORDS - Civil Aviation, Databases, Human Resources



INVESTIGATION ON COMPUTER USE ABILITY OF FIRST GRADE CIVIL

ENGINEERING STUDENTS

ALI ERDEM CERCEVIK1, NIHAN KAZAK CERCEVIK2

1 Bilecik Seyh Edebali University, Turkey; 2 Bilecik Seyh Edebali University, Turkey

ABSTRACT

Computer are one of the most important inventions of the last 50 years. Computer

technology is evolving day by day. Since modern computers began to be used, every field

has found use. Engineering science is one of these fields. Civil engineering is also an

engineering branch where complex calculations and drawings are found. The computers

using that theoretical calculations of structures, material designs, mounting drawings.

Therefore, the ability of civil engineers to use computer programs is very important. This

ability must be acquired throughout the learning of civil engineering. However, it is

difficult for our country to win this ability with 4 years of education. İn this study, the

ability of first grade students of Civil Engineering to use computers was investigated. İn

order to determine these abilities, a questionnaire was prepared for the first grade students

of Bilecik Seyh Edebali University. Open-ended and multiple choice questions were asked

to the students. Students were asked about their computer skills before they started

engineering education. İt turns out that many of the students have not joined a computer

course before. İt has been determined that it is difficult for students who have never joined

computer courses to learn complex civil engineering programs. The solution

recommendation is discussed.

KEYWORDS - Computer Use, Civil Engineering, Survey



MODELING THE EFFECT OF DIFFERENT FORMWORK SURFACES ON

CONCRETE STRENGTH BY COMPUTER AIDED STATISTICAL REGRESSION

MUSTAFA ALTIN1, SAKIR TASDEMIR2, ABDULLAH MUSEVITOGLU3


ABSTRACT

Today, computer technologies can find application environments in various parts of the

industry. Different models can be developed using the data obtained by experimental

results in various disciplines. The use of computer-based algorithms and software is

inevitable to carry out such processes. Artificial intelligence, fuzzy logic, mathematical

and statistical methods can be given as examples of commonly used methods. In scientific

studies, it is very common to see analysis of relationships between the measured variables.

Linear simple or multiple relationships between dependent or independent variables can be

expressed mathematically. By the way of estimating parameters, obtained equation can be

expressed as an estimation or regression equation. Formwork is one of the most important

building materials used in construction technology in the past and today. It is a reality that

literature needs studies that investigate the effects of different formwork types on concrete

compressive stress. In this study, computer-aided statistical regression equations are

generated for estimating compressive stress of 2 different concrete groups placed in 5

different formworks with different surface properties for 7 or 28 days. Among the simple

or multiple linear regression equations generated using the SPSS program, the model that

gives the closest results to the experimental results is determined. For this, 5 independent

variables (Type of Formwork, Concrete Class, Number of Days, Permeable State, Weight)

and a dependent variable (Strength) is used. The regression equations are created using

single, double, triple, quadruple and quintile parameters. According to regression analysis,

it is seen that the model with the 5 independent variables as input and 1 dependent variable

as output has highest the correlation value. When the correlation coefficient between

estimated compressive strength values between generated models is calculated, obtained

data is similar to the experimental data and these types of models can be used for

estimating concrete compressive stress.

KEYWORDS - Regression Equation, Computer Assisted Statistics, Formwork, Model,

Concrete Compressive Stress.



A FRAUD DETECTION APPLICATION IN BANKING SECTOR USING

DECISION TREE ALGORITHMS

MERVE DUNDER1, EMRE DUNDER2, SERPIL AYDIN3

1 Ondokuz Mayis University, Turkey; 2 Ondokuz Mayis University, Turkey; 3 Ondokuz

Mayis University, Turkey

ABSTRACT

The fraud has become an important problem since it causes to loss huge amount of money.

The expansion of modern technology enables to detect the frauds in several areas such as

banking, finance, insurance etc. Data mining techniques are commonly implemented for

fraud detection task. Decision tree algorithms are preferential methods in data mining

field. In this study we investigated the performance of decision tree algorithms to detect

the frauds in banking sector. The optimal decision tree algorithm was identified by

choosing the relevant parameters as optimizing the evaluation metrics. We conclude that

our analysis results provide a predictive scheme for predicting the frauds in banking

sector.

KEYWORDS - Fraud Detection, Decision Trees, Banking Sector



BLOOD BANK APPLICATION

NIHAN KAZAK CERCEVIK1, BARIS SAGLAM2

1 Bilecik Seyh Edebali University, Turkey; 2 Bilecik Seyh Edebali University, Turkey

ABSTRACT

Health is one of the most important elements in human life. One of the biggest problems

today is the difficulty in meeting the needs of people who require blood. Blood Bank, is

basically a social platform created by people who need urgent blood and volunteers who

want to help. The application is encoded in Java language in the Android Studio

environment. In total, 10 libraries, 2 programming languages, 2 data representation

languages, 2 database languages and 1 cloud platform is used. The application design is

completely coded with a design language called Material Design, which provides a user-

friendly interface. Thanks to this platform; people not only to get their needs faster and

safer, but also they have the opportunity to donate to healthcare facilities that voluntarily

have blood reserve open.

KEYWORDS - Android, Health, Application



THE USE OF ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF

CONCRETE STRENGTH IN DIFFERENT TYPES OF FORMWORK

SAKIR TASDEMIR1, MUSTAFA ALTIN2, BURAK TEZCAN3, ABDULLAH

MUSEVITOGLU4

1 Selcuk University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk University,

Turkey; 4 Selcuk University, Turkey

ABSTRACT

Wide usage of artificial intelligence algorithms in different disciplines ensures successful

results in scientific studies. The use of such algorithms in various sectors has become

widespread. One of these sectors is construction. Estimation study is one of the widely

used part of artificial neural network (ANN). In parallel with the developments in modern

building materials, formwork techniques are also developing continuously. Developing

technology allows the designing of different formwork types to be done faster and more

accurately with computer aided programs. It is a matter of curiosity whether such

formwork methods differ from conventional methods in terms of compressive strength. In

this study, an ANN model is developed to determine compressive strength of concrete in

formworks with different types of surface properties. The data obtained from the

experimental studies is used for the model. The designed model has three inputs and one

output. Input parameters are the type of formwork, number of days, weight, and the output

parameter is the compressive stress. 160 data (4 fold) were used in the training and test

phases for predicting the compressive stress. Mean square error (MSE) is calculated as

6.5944e-32 in training phase and 0.0193 in training phase. The target error rate is reached

at the end of 15 epochs and the results of the training were quite successful. With the

developed ANN model, results similar to the experimental data are obtained and it is seen

that two groups of data are compatible with each other. It is thought that more successful

results can be obtained by using different algorithms for the model.

KEYWORDS - Artificial Neural Network, Formwork, Concrete Strength, Estimation



APPLICATION OF DEEP LEARNING METHOD IN CLASSIFICATION DATA



ABSTRACT

Deep Learning, which has grown rapidly both in academia and in the industry in recent

years, is in fact only one of the machine learning techniques. Deep learning is the multi-

layer Artificial Neural Network. ANN dates back to about 60-70 years. From the second

half of the 2000's, at least for some problem types, the color of work began to change.

Systems based on artificial neural networks first started to perform better than our existing

systems in the field of Voice and Speech Recognition and to enter our lives. Today, our

mobile phones use deep learning technology to understand voice commands. In our study,

the Keras library was used to classify Breast cancer data, and good results were obtained.

Because of this reason, we can say that better results can be obtained by applying deep

learning in classification processes.

KEYWORDS - Deep Learning, ANN, Classification



DEVELOPING AN EDUCATIONAL DIGITAL GAME BY USING CONSTRUCT 2

MUSTAFA NAVRUZ1, SAKIR TASDEMIR2, ABDURRAHMAN PALALI3, ADEM

GOLCUK4

1 Karamanoglu Mehmetbey University, Turkey; 2 Selcuk University,

Turkey; 3 Karamanoglu Mehmetbey University, Turkey; 4 Selcuk University, Turkey

ABSTRACT

Digital gaming industry is expanding day by day in terms of both economy and the masses

it has influenced. Today, digital games are not only find effective usage in entertainment

area but also in education, culture, medicine and many other areas. In this study, a

computer-aided digital game design and implementation is carried out to consolidate the

learnings of The Transformation Geometry subject in mathematics curriculum in

elementary schools. The game was developed in Construct 2 development environment

and can be exported as HTLM5 format. It can run on web browsers with HTML5 support.

In the designed game, a polygon is drawn randomly on the coordinate plane by the game

itself. It is required from player to determine the corners of a reflection of this polygon by

a symmetry axis. If the player clicks the corners correctly, the game automatically draws

the reflected image. If the player clicks the corners wrongly, a warning message is given

by the game. There are different levels of difficulties within the game. These levels

include different sections. In addition, a scoring system is used in the game and new

records are recorded. Although the game is built around the concept of “reflection”, in

future studies it can be developed for the concept of “translation” or solving more complex

problems. Also developed application could be more accessible to wider masses by

transferring to the mobile environments.

KEYWORDS - Digital Game Design, Educational Computer Game, Transformation

Geometry



OPTIMIZING SUPPORT VECTOR MACHINE PARAMETERS

BURAK TEZCAN1, SAKIR TASDEMIR2, ADEM GOLCUK3, MEHMET BALCI4

1 Selcuk University, Turkey; 2 Selcuk University, Turkey; 3 Selcuk University,

Turkey; 4 Selcuk University, Turkey

ABSTRACT

Support Vector Machines (SVM) are one of the most popular techniques for solving

classification and regression problems. The parameter selection of SVM is an important

task. SVM parameters such as kernel parameter (γ, σ) and penalty parameter (C) have a

great impact on the performance of the algorithm. Unsuitable parameter values may

degrade its performance or increase the computational burden. Various technologies have

been developed to improve the accuracy and speed of the SVMs. The optimization process

of SVM parameters can be done more accurately using heuristic, meta-heuristic

optimization algorithms than traditional methods like Grid Search. Meta-heuristic

algorithms have proven successful results in optimization area over the last decade. Firefly

Algorithm, Artificial Bee Colony Algorithm and Glowworm Swarm Optimization can be

given examples of meta-heuristics. In this study, a recently developed meta-heuristic

method is proposed for SVM parameter optimization. We compared proposed model with

traditional algorithms like Particle Swarm Optimization (PCA) and Genetic Algorithm

(GA). Our comparisons are done on standard set of benchmark data sets from University

of California, Irvine (UCI) data repository. The experimental results proved that the

proposed model is capable of finding the optimal values of the SVM parameters. The

results also demonstrated lower classification error over the compared algorithms. For

future studies, proposed model can be redesigned for the twin support vector machine

(Twin-SVM) for increasing the computational speed.

KEYWORDS - Support Vector Machine, Parameters, Optimization Algorithm



IMPLEMENTATION OF MULTIPROCESSING ARCHITECTS ON NETWORK

MOTIF DETECTION ALGORITHMS

VOLKAN ALTUNTAS1, MURAT GOK2, TUGRUL AKTAS3

1 Bursa Technical University, Turkey; 2 Yalova University, Turkey; 3 Yalova University,

Turkey

ABSTRACT

Biological data at the molecular level is expressed by biological networks at system level

data. Network motifs are defined as unique, small and connected sub-networks that are

common in biological networks. The problem of finding network patterns includes

counting all possible instances, listing all the molds, and computationally difficult

processes. Therefore, the efficiency of algorithms is important. Although many efficient

algorithms have been introduced, extensive search methods cannot be run for reasonable

periods of time. Through today's high output techniques, the diversity of biological

networks, rapid and continuous growth makes the problem more difficult every day.

Nowadays, the terms "parallel computing" and "distributed processing" overlap and there

is no clear distinction between them. For this reason, the same system can be characterized

as both "parallel" and "distributed". In the same way, processors in a distributed system

run in parallel. With a general acceptance, the multi-transaction structure to which all the

processors belong to a common memory can be called "parallel processing" and the

"distributed system" in the structure where each processor has its own memory block and

the shared data is transmitted by messages. In this study, adaptation of multi-process

architects to the problem of network motif detection has been investigated. Note: This

work was supported by Yalova University BAP (2015/103).

KEYWORDS - Network Motifs, Biological Networks, Parallel Computing



ANALYSIS OF BIG DATA OBTAINED IN SERVICE ROBOTS

NURSENA BAYGIN1, MEHMET BAYGIN2, MEHMET KARAKOSE3

1 Kafkas University, Turkey; 2 Ardahan University, Turkey; 3 Firat University, Turkey

ABSTRACT

Service robots, which are becoming increasingly applied, are preparing to become

indispensable for human life. Recently, big data, deep learning and cloud systems have

started to be used in service robot applications. In fact, when the data used by robots were

examined, there was always big data in the world of robots. However, recent studies

suggest that big data and deep learning will provide great leaps for the robot industry. In

recent years, they have concentrated on working on service robots that use self-learning

(deep learning) and big data. Humanistic service robots analyze databases using social

media such as Google, Facebook, Twitter, and strengthen human robot interaction. In

periodic competitions, scientific congresses, or other events, robots produced by artificial

intelligence seemed to be forced to exceed a certain learning rate. Deep learning, big data

and cloud systems have greatly increased the number of learning rate by offering a

different perspective on advancing technology. Deep learning has been switched to a

layered learning system, so that the work of artificial intelligence limited by one or several

layers of structure has progressed much more rapidly. Service robots using Big data

technology have the ability to continuously update their learning situation as they can

access a large library. Service robots using the cloud system have contributed to their

development by performing statistical analysis of data. With the development of learning

systems, the robot increases human interaction and allows robots to be used at every stage

of human life. In this study, the analysis of deep learning and big data applications on

service robots were performed.

KEYWORDS - Service Robots, Big Data, Deep Learning, Cloud Systems



DEEP LEARNING BASED APPROACHES FOR MACHINE VISION

INSPECTION APPLICATIONS

MEHMET BAYGIN1, MEHMET KARAKOSE2

1 Ardahan University, Turkey; 2 Firat University, Turkey

ABSTRACT

Today, machine vision applications are frequently used in many different areas such as

automotive, food, textile, and electronics. Especially with these systems that allow

contactless control, many different industrial fields can produce products with no fault or

near-fault accuracy. In contactless measurement systems, products that pass over a

conveyor are usually controlled via one or more cameras. At this point, the defective

products are separated on the conveyor and the products are delivered without error to the

end user. In this paper, a new machine vision application has been developed which can

perform non-contact measurement. The control and separation of labels produced in an

industrial production line has been performed with the proposed approach in the study. For

this purpose, the posts of the packaging labels on the wrapped position on a rotating

cylinder is checked and the system can distinguish it if any mistakes are faulted. The

installed system uses one camera and can take about 50 fps. Deep learning method is used

as the basis for this approach proposed in the study. In the system, images taken primarily

from the camera are subjected to various image preprocessing steps. The clean images

obtained after this process are stored for use in the training phase of the deep learning.

After enough images are obtained for the training phase, these images are sent to the

training module of the deep learning system. After completion of the training phase, test

images are taken from the system and compared with the training model. As a result of the

comparison process, the system divides the image frames taken for the test into two

classes, correct and faulty. When the results obtained from the experimental studies are

examined, it has been observed that the deep learning-based machine vision approach

gives very accurate and effective results.

KEYWORDS - Deep Learning, Inspection, Machine Vision



A BINARY HYBRID APPROACH BASED ON TREE SEED ALGORITHM FOR

SOLVING 0 1 KNAPSACK PROBLEMS

AHMET CEVAHIR CINAR1, SEDAT KORKMAZ2, MUSTAFA SERVET KIRAN3


ABSTRACT

Tree-Seed Algorithm, TSA for short, is a nature-inspired iterative optimization algorithm,

recently proposed for solving continuous optimization problems. Due to its effectiveness

and success on solving this type of problems, it is adapted for solving binary optimization

problems in 2018. In this study, we used hybrid binary version of TSA for solving 0-1

knapsack problems. In the experiments, 12 instances of 0-1 knapsack problems are solved

by the hybrid algorithm and the effects of its peculiar control parameters are analyzed on

these problems. These parameters are search tendency- ST, stand size and termination

condition. ST is considered as 0.1-0.9, stand size is taken as 10-100 and termination

condition is maximum number of functions evaluations and it is taken as 5E+3, 1E+4 and

5E+4 and 1E+5. Under these conditions, the hybrid algorithm is run 50 times with random

seeds and obtained results are compared with each other. The results indicate that the

control parameters of the algorithm should be finely tuned in accordance with the problem.

KEYWORDS - 0-1 Knapsack, Binary Optimization, Control Parameter, Tree-Seed

Algorithm



AN ANALYSIS OF POPULATION SIZE FOR BINARY ARTIFICIAL ALGAE

ALGORITHMS

SEDAT KORKMAZ1, AHMET CEVAHIR CINAR2, MUSTAFA SERVET KIRAN3


ABSTRACT

For the swarm intelligence algorithms, the population size is a common control parameter

and it directly affects the performance of the methods on optimizing process. In this study,

the performance of binary artificial algae algorithms (AAA) is analyzed under the different

sizes of population on a binary optimization problem. The binary variants of AAA have

been recently proposed for solving this type of problems but a parameter analysis for

population size has not been conducted. We consider two different variants of binary

AAA, and population size is taken as 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100. One of the

variants uses heuristic rule as update mechanism and the other is based on xor logic

operator and stigmergic behavior. The performance of these algorithms is measured on

solving well-known 15 uncapacitated facility location problems and obtained results are

compared with each other. The experimental results show that the size of population is an

important control parameter and it should be adjusted by depending on the characteristics

of the binary optimization problems.

KEYWORDS - Artificial Algae Algorithm, Binary Optimization, Population Size,

Uncapacitated Facility Location



ADAPTIVE CONTROL APPLICATIONS ON COMPUTER CONTROLLED

MACHINING

MEHMET BALCI1, ADEM GOLCUK2, SAKIR TASDEMIR3, BURAK TEZCAN4

1 1higher School Of Vocational And Technical Sciences Selcuk University,

Turkey; 2 2department Of Biomedical Engineering Faculty Of Technology Selcuk

University, Turkey; 3 Department Of Computer Engineering Faculty Of Technology

Selcuk University, Turkey; 43department Of Computer Engineering Faculty Of

Technology Selcuk University, Turkey

ABSTRACT

The area covering the design and production processes of tools, devices, machines and

systems that is needed in daily life and the industry can be expressed as mechanical

engineering. In today’s technology, mechanical engineering not only deals with

mechanical systems but also devices manufactured by various disciplines such as electric,

electronic or computer. Machining is one of the first areas that comes to mind in

mechanical engineering. Machining is a fundamental part of mechanical engineering.

Machining is the process of manufacturing a workpiece that is designed and drawn

according to technical drawing rules by removing various sizes of parts from it. This

shaping is done using cutting tools and benches suitable for this process. Today, the use of

computer-controlled benches called CNC has become widespread in machining. These

devices are the systems that process materials according the instructions given by the

computer before the manufacturing. Even if CNC benches are computer-controlled, they

are not capable of taking precautions against adverse situations that may occur during

production. Also, they lack the ability to arrange parameters online to improve

manufacturing quality. Systems that can perform such tasks are called adaptive control

systems. The production of adaptive controlled smart benches is possible mostly by

equipping the bench with artificial intelligence techniques. In this study, adaptive control

applications for CNC benches in literature were investigated. It was investigated that

which artificial intelligence methods were used, what advantages adaptive controlled

systems over CNC benches without it, which parameters adaptive control systems

evaluates and how they interfere with the system. It is seen that researches include

parameters like spindle motor speed, current drawn by the motor, feed rate, depth of cut

and cutting force. Some of the researches use fuzzy logic and some of them use neural

networks methods. Some studies have also shown that different techniques are used

together.

KEYWORDS - Machining, Adaptive Control, Artificial Intelligence, Control Systems



COURSE SCHEDULING PROBLEM FOR THE COLLEGE OF ENGINEERING

AND ARCHITECTURE AT NECMETTIN ERBAKAN UNIVERSITY

AHMET REHA BOTSALI1, MEHMET AKTAN2

1 Necmettin Erbakan University, Turkey; 2 Necmettin Erbakan University, Turkey

ABSTRACT

Course scheduling is one of the popular scheduling problems operations researhers are

interested in. This problem is NP-Hard and for large size problems, it is not possible to

find the optimal solution in a reasonable time duration. In addition, the specific

requirements and characteristics of each education institution make this problem extra

complex. In this study, the course scheduling problem is analyzed for the College of

Engineering and Architecture at Necmettin Erbakan University, Turkey. The increasing

admitted student numbers each year and the limited resources such as the number of

classrooms, classroom sizes, and the number of teaching staff make the course scheduling

problem an important issue for this institution. We provide a mathematical programming

model and simulated annealing algorithm for the course scheduling problem of the College

of Engineering and Architecture at Necmettin Erbakan University and discuss alternative

objective function formulations.

KEYWORDS - Optimization, Mathematical Programming, Course Scheduling



AN EXPERIMENTAL COMPARISON OF BINARY AND REAL VALUED

CODING IN GENETIC ALGORITHMS FOR FEATURE SELECTION OF TEXT

DOCUMENTS

RIDVAN SARACOGLU1

1 Van Yuzuncu Yil University, Turkey

ABSTRACT

Text classification is one of important part of text mining. Main problem in text

classification is multidimensional data. Dimension (feature) reduction process is applied to

solve this problem. In this study, feature selection one of dimension reduction techniques

is implemented for text documents using genetic algorithm. Then, selected features are

used for text classification. Binary and real-value coding methods was used in genetic

algorithm for comparison. So, classification results have been investigated for selected

features via these two methods in genetic algorithm. In this implementation, real-valued

coding has given better results than binary coding.

KEYWORDS - Binary Coding, Feature Selection, Genetic Algorithm, Real-Valued

Coding



DETERMINATION OF THE EFFECT OF NEURON NUMBERS AT THE

MODELLING OF GNSS LEVELLING GEOID BY ANN

MEHMET AKIF SAHMAN1, KEMAL TUTUNCU2, EKREM TUSAT3

1 Technology Faculty, Turkey; 2 Technology Faculty, Turkey; 3 Cumra School Of Applied

Sciences, Turkey

ABSTRACT

Location of a point can be obtained by using Global Navigation Satellite System (GNSS).

Despite the fact that ellipsoidal heights (h) is calculated by GNSS, orthometric heights (H)

are used in the implementations. Due to the fact that determination of orthometric heights

is a hard and laborious process, obtaining of the orthometric heights is an important issue

regarding to geodesic studies. Geoid heights are required to calculate the orthometric

heights from ellipsoidal heights. Obtaining GNSS/Levelling Geoid at the regional studies

serving this purpose provides practical and appropriate results for many applications. In

this study, local GNSS/ Levelling Geoid of project field has been determined by using

latitude, longitude and N geoid height values that belong to the same points. The usability

of a forward feeding multi-layer perceptron (MLP) that is able to find the height of geoid

has been examined. Weight values of the related structure have been trained by particle

swarm optimization. Optimum network structure has been obtained by evaluating the

effect of neuron number that is used to train network to the solution.

KEYWORDS - Geoid, GNSS/Leveling Geoid, MLP, PSO



CLOSEDNESS IN PREORDERED SPACES

MEHMET BARAN1

1 Erciyes University Department Of Mathematics Faculty Of Sciences, Turkey

ABSTRACT

Order theory which appears in mathematics and related areas, such as computer science

studies various kinds of binary relations that capture the intuitive notion of a mathematical

ordering. Domain theory is a fast-growing branch in the interface between mathematics

and computer science that studies special kinds of partially ordered sets commonly called

domains. The primary motivation for the study of domains, which was initiated by Dana

Scott in the late 1960s, was the search for a denotational semantics of the lambda calculus,

especially for functional programming languages in computer science [1-3]. Recall that a

preordered space is a pair (B,R), where B is a set and R is reflexive and transitive relation

on B. In 1991, Baran [4], introduced the notion of (strong) closedness in set-based

topological categories which are used in the notions of Hausdorffness [5], completely

regular, and normal objects [6]. In this paper, we give the characterization of closed and

strongly closed subsets of preordered space and investigate the relationships among these

notions and the classical closed subsets of preordered space.

ACKNOWLEDGEMENTS.This research was supported by the Erciyes University

Scientific Research Center (BAP) under Grant No: 7174.

KEYWORDS - Topological Category, Preordered Spaces, Strong Closedness, Closedness.



T0 LIMIT PRE APPROACH SPACES

MEHMET BARAN1, MUHAMMAD QASIM2

1 Erciyes University Department Of Mathematics Faculty Of Sciences,

Turkey; 2 Department Of Mathematics Erciyes University, Pakistan

ABSTRACT

Over the years, several mathematical structures especially topological models are

constructed in denotational semantics of a programming language and named as system of

logics and usually, these models are T0. At the beginning, ordered sets were used but later

on, metric spaces which works quite efficiently than ordered sets had been used in

semantics. In 1989, Robert Lowen introduced approach spaces and which is the

generalization of metric and topological, based on a distance function between points and

subsets. Approach theory has been used in field of computer science, probability theory,

Index analysis, and theory of function spaces . There are several ways to generalize the

usual T0-axiom of topology to topological categories and the relationships among these

various forms of generalized T0-axiom in topological categories have been investigated in

1991 and 1995. In this paper, we characterize T0 limit pre-approach spaces and investigate

the relationships between these T0 pre-approach spaces and the usual T0 pre-approach

spaces. ACKNOWLEDGEMENTS. This research was supported by the Erciyes

University Scientific Research Center (BAP) under Grant No: 7174.

KEYWORDS - T0 Objects, Pre-Approach Spaces, Limit Pre-Approach Spaces.



A NEW ENCRYPTION SCHEME USING SOFT SETS

EMIN AYGUN1

1 Erciyes University, Turkey

ABSTRACT

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical

tool to deal with uncertainties. This paper is a continuation of the paper [6]. In this paper,

the operations inverse and characteristic products of soft sets are redefined without using

relation forms of soft sets. This leads to simplicity and brevity. The main aim of this study

is to be the basis of many applications, especially of cryptography. We suggestion the soft

cryptosystem which is a encryption method. Using the properties of inverse and

characteristic products of soft sets, the researchers may suggest some new encryption,

decryption based on soft sets. This research was supported by the Erciyes University

Research Center (BAP) under Grant No: 7109.

KEYWORDS - Cryptosystem, Soft Set, Decryption, Encryption.



A NEW CYRPTOSYSTEM USING SOFT MATRICES

EMIN AYGUN1

1 Erciyes University, Turkey

ABSTRACT

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical

tool to deal with uncertainties. Since its inception, it has received much attention in the

mean of algebraic structures such as groups, semirings, rings, BCK/BCI-algebras,

normalistic soft groups, BL-algebras, BCH-algebras and near-rings. Çagman and

Enginoğlu has defined soft matrices and their operations which are more functional to

make theoretical studies in the soft set theory. Then they has defined products of soft

matrices and their properties. The main aim of this study is to be the basis of many

applications, especially of cryptography. This style of representation is useful for storing a

soft set in computer memory. The operations can be presented by the matrices which are

very useful and applicable. We suggestion the soft cryptosystem scheme using soft

matrices.

KEYWORDS - Cryptosystem, Soft Set, Decryption, Encryption.



CYBER SECURITY STUDIES AND ISSUES IN TURKEY

SEREF SAGIROGLU1

1 Gazi University, Turkey

ABSTRACT Use of information technology becomes more widespread as a result of this the environments

in which information assets are found to become very important and critical. This brings the

issues of protection, privacy and security not only for individuals but also enterprises and

national agencies. Countries are struggling to develop strategies, to update and build up new

structures, to protect their assets or to strengthen the defense mechanisms of their institutions,

systems, processes, and assets. According to the literature in Turkey, there have been a number

of studies, projects, publications, labs, strategies, organizations and publications for providing a

considerable cyber-offense or defense capability, cyber-power, skills, and infrastructures to

advance her strategy and policy goals in terms of policy, strategy, infrastructure and protection.

According to: - the governments; Turkey is doing well to protect national assets. - commercial

company statistics; Turkey hosts more malware than any other European country, botnets are

more popular, the country’s infrastructure is insecure, under attack or under risk, or it is in top-

ten list of DDoS attacks, etc. - Cyber Security Index of ITU; the rate of Turkey is 43 among

164 countries with 56 points. The earlier score was the 17th. - Our research, Turkey has

contributed to the cyber research in the World with the rate of 1 of 1000. There are achieved

with the help of “National Cyber Security Strategy and Implementation Plan” documents first

published in 2014 and revised in 2016. The latest published in 2016 covers cyber security

strategy of Turkey until 2019. This is important that the Turkish government has a stated and

published strategy for cyber security since 2014. According to this strategy, every institution

has got some tasks to complete in certain time. Turkey has been taking noticeable steps to

institutionalize the cyber security front of the country. Initiating TR-CERT (Computer

Emergency Response Team), creating and establishing cyber defense capabilities in Turkish

Armed Forces called “General Staff Warfare and Cyber Defense Command”, “The National

Intervention Centre Against Cyber Attacks (USOM)”, “Cyber Fusion and Cyber Operation

Centers”, given bursaries to university students, supporting entrepreneurship, increasing the

number of research centers, establishing new academic programs, employing white-hat hackers

to work for the government, organizing cyber security drills, national and international

conferences, symposiums and workshops, etc. are some of the critical steps in these issues to

protect critical technology and institutional and national information assets of Turkey. As a

result of the issues given above; it can be concluded that something is missing in implementing

the national strategy and achieve better protection. It is appreciated that paid more attentions

and efforts for practicing national drills, developing new aspects, establishing more programs,

building up cyber security eco-systems, organizing national and international events, increasing

number of experts, expertise and skills, stoping and blocking the attacks in national CERT, etc.

are very useful for better protection. Even if there have been huge efforts paid by government,

it is difficult to claim that Turkey has got a coherent and well established united cyber security

strategy based on the scores. It seems that building more specific, well-directed and well-

organized cyber security strategy and implementation might be required for better contribution

to the country’s cyber defense capability and power.

KEYWORDS - Information Security, Cyber Security, Courses, Program, Book, Project,

Drill, Article, Academics, Journal, Patents



AN INVESTIGATION STUDY FOR WEARABLE TECHNOLOGIES IN

INTELLIGENT ENGINEERING SYSTEMS

EBRU KARAKOSE1, ILHAN AYDIN2

1 Firat University, Turkey; 2 Firat University, Turkey

ABSTRACT

Wearable technologies, which contain strong products in health, sports and fashion

industries, have been increasing in recent years especially in real world engineering

problems. It is important for us to make specific analyzes to identify the products most

needed in wearable technology, to identify the factors that will enable the consumer to use

for a long time, to develop future marketable products, and to make predictions about the

future situation of the future technology. In this study, a study was conducted to

investigate the use of wearable technologies to provide support for the development of

intelligent systems, especially in real world engineering problems. Many of the studies in

the literature and many of the applications presented to the consumer in the literature have

been examined, grouped, compared and interpreted. In the scope of the study, according to

the targeted engineering problem and the desired intelligent features, the implications such

as which sensors should be used, which data processing, which algorithms and hardware

to use for processing the data, and what performance results are obtained are given.

According to these conclusions, predictions for future trends and fields of work were

established in terms of wearable technologies.

KEYWORDS - Intelligent Systems, Wearable Sensors, Engineering Problems, Data

Processing



A TWO STAGE SOLUTION PROCEDURE FOR REAL LIFE LOCATION

ROUTING PROBLEM

ESRA YASAR1, AHMET REHA BOTSALI2

1 Kto Karatay University, Turkey; 2 Necmettin Erbakan University, Turkey

ABSTRACT

Warehouse location selection and vehicle routing are two important problems that are

studied in supply chain literature. Although it is possible to solve the classical warehouse

location selection problem at the optimal level for most cases, the vehicle routing problem

is more difficult to solve. The simplest version of vehicle routing problem is the travelling

salesman problem (TSP) which is NP-Hard. Recently, warehouse location selection and

vehicle routing problems are analyzed together as an integrated problem referred as

location-routing problem. In this study, we analyzed this integrated problem for a food

manufacturer in Konya, Turkey and display a two stage solution procedure based on

mathematical programming.

KEYWORDS - Mathematical Programming, Optimization, Location Routing Problem,

Vehicle Routing



APPLICATION OF THE CUCKOO SEARCH ALGORITHM TO ESTIMATE THE

REMOVAL OF CHROMIUM VI WITH POLYMERIC CALIX 6 ARENE FROM

AQUEOUS SOLUTION

ABDULLAH ERDAL TUMER1, SABAN GULCU2


ABSTRACT

It is clear that industrial developments bring many advantages. On the other hand, they

pose a serious risk for both human health and the environment. The pollutants such as

dyes, heavy metals, organic substances exist in the wastes of industrial processes and

unfortunately cause the pollution of waste water. Heavy metals are the major pollutants of

marine, underground, industrial and even treated wastewaters. The most hazardous heavy

metals found in the industrial waste water are chromium, cadmium, zinc, copper and lead.

The presence of chromium (VI) ions in the wastewater has become a major concern today

due to harmful effects on health and the environment. For this reason, it is necessary to

remove these unwanted pollutants from the waste water. For this purpose, experimental

methods are used especially. However, it takes a lot of time to realize experimental

methods and it causes high costs because of continuous repetition of experiments. For this

reason statistical methods and modeling techniques have been developed as an alternative

to experimental methods. In this study, a model was developed using the Cuckoo Search

Algorithm (CSA) to estimate the removal of Cr(VI) ions from aqueous solutions. For the

CSA model developed in this study, the data used were obtained from experimental

procedures performed by adsorption method. The data of 34 different experiments have

been used. The pH, adsorbent amount, contact time and initial concentration of Cr(VI) ion

were used as the input parameters in the generated model. The output of the model is the

removal efficiency of Cr(VI) ion. The performances of the simulation results were

analyzed using the root mean square error and the variance absolute relative error

statistical methods.

KEYWORDS - Cuckoo Search Algorithm, Removal Of Cr(VI), Estimation, Modelling



A STUDY OF CLUSTERING BY USING GREY WOLF OPTIMIZER

ALGORITHM

MURAT KARAKOYUN1, ONUR INAN2, IHTISAM AKTO3



ABSTRACT

The clustering is an important unsupervised classification approach for data mining and

data analysis. The main purpose of the clustering process is to divide a set of data objects

into sub similar groups. The methods which are used for the clustering problem use the

similarity or dissimilarity between data objects for division of the data set. There are many

approaches which are used for data clustering problem in literature, but generally

clustering algorithms are summarized in two categories as hierarchical and non-

hierarchical (partitional) clustering. The techniques which are used for hierarchical

clustering do not need the number of clusters. After the clustering process, the number of

cluster is decided. On the other hand, the cluster number is needed when partitioning

methods are used. In short, the goal of the partitional clustering is to divide N data objects

into k groups. The significance of the clustering problem has led the researchers to

improve new approaches on this field. 1In literature, there are many studies on clustering

problems with using different algorithms. In this work, grey wolf optimization (GWO)

algorithm which is based on social behaviour of grey wolves is performed to partition the

data objects by searching the best cluster centroids. The clustering performance of the grey

wolf optimizer is compared with the performances of the k-means, k-medoids and fuzzy c-

means algorithms. We used the Rand Index that is a similarity measurement which can be

used to evaluate the accuracy of the clustering results. The clustering performance was

tested on the cancer-int, e. coli, wine, thyroid and iris data sets taken from UCI Machine

Learning Repository. For the cancer-int, e. coli, wine, thyroid and iris datasets used with

the gray wolf algorithm, the rand index values 0.93229, 0.84021, 0.8762, 0.60125,

0.73102 were obtained, respectively. Experimental results show that, the GWO algorithm

generated better solutions for three data sets (cancer-int, e. coli, and wine) than the other

clustering algorithms. Whereas, each of k-means and fuzzy c-means algorithms has better

results on a data set: thyroid and iris, respectively. According to the experiments, the

GWO algorithm can be alternatively used for the data clustering problem.

KEYWORDS - Clustering, Fuzzy C-means, Grey Wolf Optimizer (GWO), K-Means, K-

Medoids



APPLICABILITY OF THE CRYOTHERAPY METHOD IN THE TREATMENT

OF WARTS



ABSTRACT

As benign tumors, warts are made through the intervention of Human Papillomavirus

(HPV) and might grow on all over the body, particularly hands and feet. There are various

treatment methods for this disease. But, none of them can cure all the patients. As a result,

specialist doctors are looking for more efficient and customized treatments for each

patient. They are making an effort which treatments have better impacts on a private

patient. One of these treatment methods is the cryotherapy method. Cryotherapy can be

applied on patients with warts. Treatment results are found in patients who are exposed to

this cryotherapy method. By using the data of the cryotherapy procedure, we can design

the artificial neural network model to determine the success of the treatment. As a result, it

can be thought that artificial neural networks are useful in determining the treatment of

warts and deciding on specialist doctors.

KEYWORDS - Warts, Cryotherapy, ANN, Benign Tumors, Treatment



PRECISION FARMING MONITORING BASED ON INTERNET OF THINGS

HIDAYET OGUZ1, ABDULLAH ERDAL TUMER2


ABSTRACT

The concept of the Internet is changing and evolving every day. The main communication

form of the Internet is human. The Internet of objects can be thought of as a new form of

the Internet that communicates from object to object, from object to person, from person to

object. In other words, IOT provides connectivity for everyone and everything. It provides

an environment for information from the physical world to the digital world through

wireless communication. There are some difficulties with the development of IOT.

Nevertheless, there is still a lot of potential to provide important personal, professional and

economic benefits to the industry, livestock, agriculture, health, sporda and many other

areas.. IOT is now widely used for monitoring purposes for the creation of decision

support systems. One of the areas needed by decision support systems is agriculture. This

has led to the widespread use of precision farming practices. Traditional farming methods

lead to extra time and cost loss for farmers. Another issue is the reduction of human labor

force in agricultural activities, while providing farmer's well-being; it also makes

production more productive and quality. In this study, a system has been developed with

the IOT method for an easy to use and expandable agricultural monitoring solution for

increasing water and land productivity. The IoTFarm system makes it possible to always

have knowledge of the land and crop conditions so that the farmer can present various

notifications during farming tasks. These notifications can help farmers to manage the

quality of agricultural land, improve productivity and optimize resource utilization. The

study also created three layers for the IoTFarm system. These are sense, transport and

application. The sensing layer is used to acquire knowledge of the soil and the

environment. Wifi technology has been used to establish the transport network of the

IOTFarm at the transport layer. The application layer is used for the collection, decision

and automatic control of the information. As a result, IOT was successfully applied in

precision farm.

KEYWORDS - Precision Farming, IOT, Sensor, Microcontroller



BIODIESEL PRODUCTION FROM WASTE COOKING OIL AND ASPEN

HYSYS OPTIMIZATION PROCEDURE

SULEYMAN KARACAN1, MEHMET TUNCAY CAGATAY2

1 Ankara University, Turkey; 2 National Defence Ministry, Turkey

ABSTRACT

Alternative and renewable sources of energy have become more attractive in recent years

due to the depletion of world petroleum reserves, increasing energy demand, increasing

environmental concerns due to rising greenhouse gas emissions, and rising petroleum

Prices. Biodiesel is a renewable fuel that consists of alkyl esters obtained from vegetable

oil and animal fat. The main advantages of using biodiesel are its renewability, better

lubricity, biodegradability and significant decreases in emitted particulates, unburned

hydrocarbons, and carbon monoxide, relative to petrodiesel. Since the price of waste

cooking oil (WCO) is 2–3 times less than vegetable oils, use of low-cost feedstock such as

WCO could decrease biodiesel production cost since the feedstock cost often accounts for

over half the finished cost of the biodiesel. The production of waste cooking oil has

increased due to increasing food consumption in restaurant and food. The conversion of

WCO into biodiesel not only eliminates the environmental impacts caused by the disposal

of these waste oils but also decrease the production cost of biodiesel significantly.

Reactive distillation (RD) is the combination of reaction and distillation in a single unit,

thus increasing mass transfer while simplifying the process operation. It may be

advantageous for reactions with a large excess of one or more reactants, or when removal

of one or more products is necessary for completion of reaction, or when product recovery

or by-product recycle is complicated. In this study, HYSYS simulation and optimization of

biodiesel production from waste cooking oil in the reactive distillation column packed

with heteregenous basic CaO catalyst was performed. The effect of parameters such as

inlet temperature and total feed flow rate on biodiesel mole fraction and conversion were

investigated, and optimum operating conditions were determined.

KEYWORDS - Reactive Distillation Column, Biodiesel, Optimization, Aspen HYSYS



EFFECT OF NANO GRAPHENE PARTICLES ON SHEAR STRENGTH OF AL

GFRP BONDING JOINTS

MEHMET VEYSEL CAKIR1

1 Kilis 7 Aralik Universitesi, Turkey

ABSTRACT

New trends in the aviation and automotive industry, such as light weight, increased

performance and functionality, increase the need to use hybrid assemblies and thus to

combine unique materials. The properties of different materials are used together to

achieve product performance. In recent years light metals such as aluminium, magnesium

and titanium alloys and various fiber reinforced (glass, carbon, kevlar etc.) polymers have

been combined for a very strong and light hybrid structure. Bonding connections used to

combine different types of materials; designers offer significant advantages in terms of

low number of parts, light weight, installation time, improved fatigue and corrosion

resistance, smoothness and etc. Epoxy adhesives are adhesives with excellent chemical

and corrosion resistance as well as high mechanical and thermal properties. However, such

adhesives have poor resistance to low fracture toughness and hence high crack formation

due to their cross-linked structures. Nanoparticles exhibiting many unique mechanical

properties have become one of the most attractive options in recent years to increase the

strength of polymeric materials and adhesives. In this study, tensile and shear strengths of

AL-GFRP single-joint bonding joints were investigated by adding nano graphene particles

in epoxy adhesive, 0.1%, 0.2%, 0.3%, 0.4% and 0.5% by weight. It was observed that the

tensile and shear strengths of the nano-graphen reinforced samples do not provide any

improvement.

KEYWORDS - Adhesive Bonding, Al-GFRP, Graphene Nano Particles, Shear Strength



EFFECT OF MWCNT PARTICLES ON SHEAR STRENGTH OF AL GFRP

BONDING JOINTS

MEHMET VEYSEL CAKIR1, DIDEM KINAY2

1 Kilis 7 Aralik Universitesi, Turkey; 2 Gaziantep Universitesi, Turkey

ABSTRACT

Large structures such as ships and airplanes are made of hybrid structures which are

combination of metals and composite materials. In these industries, adhesive joints are

widely used as the primary method of forming structural joints. In this study, it was aimed

to increase the mechanical properties of bonding joints of Aluminium 2024-T3 and GFRP

sheets by using MWCNT (multi-walled carbon nanotube) added to commercial adhesive.

The single lap joints specimens were prepared by adding 0.25%, 0.5%, 1%, 1.5% and 2%

by weight of MWCN to Araldite 2014 epoxy adhesive. The shear strength of the bonding

specimens was determined using a universal tensile testing machine in accordance with

ASTM D 3039 international standards. As a result of the study, it was observed that the

1% added samples increased the shear strength by an average of 62%.

KEYWORDS - Adhesive Bonding, Al-GFRP, MWCN, Shear Strength



DYNAMIC MULTI CRITERIA DECISION MAKING WITH THE HELP OF

SYSTEMS DYNAMICS MODELLING

DILEK YESILKAYA1, ADIL BAYKASOGLU2, ESRA EKINCI3

1 Department Of Industrial Engineering Dokuz Eylul University The Graduate School Of

Natural And Applied Sciences Izmir, Turkey; 2 Department Of Industrial Engineering

Dokuz Eylul University Izmir, Turkey; 3 Department Of International Logistics Yasar

University Izmir, Turkey

ABSTRACT

Decision-making problems contain many alternatives and usually conflicting criteria.

Multi Criteria Decision Making (MCDM) approaches are generally employed for

modeling and resolving this type of problems. There are numerous MCDM methods in the

literature. Most of them assume that both criteria and alternatives are fixed and decision-

making is performed only once. However, in the real world settings, decision-making

environment is continuously changing which necessitates a dynamic decision making

approach. The aim of this study is to provide a systematic dynamic multi-criteria decision

making framework to be practiced under such dynamic decision making environments.

For this reason, integration of systems dynamics and MCDM models are presented as a

viable solution approach in this study. In order to illustrate the proposed approach, a

supplier selection problem is presented. Stella, which is systems dynamics software, is

employed for modelling purposes. The preliminary results are meaningful.

KEYWORDS - Dynamic Multi Criteria Decision Making, Systems Dynamics, Supplier

Selection



FTIR AND THERMOGRAVIMETRIC ANALYSIS OF CO LIQUEFACTION

PRODUCTS

CEMIL KOYUNOGLU1, HUSEYIN KARACA2

1 Istanbul Technical University, Turkey; 2 Inonu University, Turkey

ABSTRACT

In this study, Elbistan lignite and biomass was co- liquefied in catalytic conditions in a

batch reactor. FTIR and thermogravimetric methods were used to characterize the products

obtained as a result of liquefaction. The FTIR result from the high reactivity of aromatic

hydrogen to oxygen on both liquefaction experiments obtained chars. It was found that for

experiment E-5 the absorption peak at 1220 cm −1 reveals a significant reduction in the

carboxyl groups. For experiment E-6, the absorption peak at 1215 cm −1 , the cleavage of

the aromatic ether linkage is shown. The results showed that E-6 has the greater oil+gas

yield and total conversion because of the greater value of CH 2 , benzene, amine and

acetylene functional group than Red Mud and E-5, with the reference of FTIR spectra

results. The TGA analysis results showed that the tetra- hydrofuran (THF) soluble

products was successfully eliminated during classification of liquefaction products. The

FTIR analysis conducted to prove if red mud behaved as a catalyst. As a result, low cost

and high reserved option for red mud can be a solution for the feasible liquefaction

processes.

KEYWORDS - Co-Processing, TGA, FTIR, Low Cost Catalyst, Red Mud



INVESTIGATION OF MATERIALS BEHAVIOR IN SEMI AUTOGENOUS

GRINDING MILL

DIMITAR KARASTOYANOV1, NIKOLAY STOIMENOV2

1 Iict Bas, Bulgaria; 2 Iict Bas, Bulgaria

ABSTRACT

In the presented paper attention is paid to simulation of lifter bodies with different shapes

and materials. The simulation is made with software using the discrete elements method -

EDEM. Analysis of the results is made.

KEYWORDS - Lifters, Grinding Bodies, Simulation, SAG Mill



ADAPTIVE FIXTURE DESIGN FOR THIN WALLED FREEFORM SURFACED

PARTS

MELIKE AVER1, OGUZHAN YILMAZ2

1 Firat Universitesi, Turkey; 2 Gazi Universitesi, Turkey

ABSTRACT

Free-form surfaced thin-walled parts are generally preferred because of their lightness and

strength in aerospace industry. Fixtures are the main elements in manufacturing processes,

such as machining, grinding, welding, assembling etc. Pin fixtures are type of fixtures and

they are gaining popularity since they can adopt part surface. This study aims to design

and investigate the pin fixtures for free-form surfaced thin-walled parts to be machined. In

machining of free-form surfaced thin-walled parts, main machining considerations are

deflections which directly affect the dimensional tolerances and part qualities, and stresses

considered as a main cause of deflection. Deflection results were obtained for three pin

diameters, three pin configurations and three different forces at two points using ANSYS

FEA software. The Von-Mises stresses were also analyzed for the same principle as used

in the deflection analyses. Through determining the best pin fixture configuration and pin

diameter, it is aimed to design an adaptive pin fixture for thin-wall machining and blade

tip repair without excessive deflections. The results have shown that the array

configuration can be used as the best adaptable fixture type for part-to-part geometry.

Minimum deflections both for edge and midspan loading are obtained for array

configuration using 2mm pin diameters

KEYWORDS - Adaptive Fixture Design, Pin Fixtures, Free-Form Surfaces, Thin-Wall

Part



SOLAR TRACKING SYSTEM WITH PID CONTROL OF SOLAR ENERGY

PANELS USING SERVO MOTOR

SERHAT AKSUNGUR1, TARKAN KOCA2

1 Inonu Universitesi, Turkey; 2 Inonu Universitesi, Turkey

ABSTRACT

Parallel to the developing technology and the increasing population, the energy

requirement is increasing day by day. Turkey's dependence on foreign sources of energy

constitutes a significant budget in terms of energy costs. In this context, in Turkey,

renewable energy sources with high potential is gaining importance. Fossil energy sources

cause environmental pollution and threaten human health more and more every day. For

this reason, the use of renewable energy sources should be encouraged and widespread.

With a good energy needs analysis, producer costs will be reduced and efficiency will be

increased. Solar energy is an efficient resource in electricity generation. Increase the

efficiency of the solar panels used, increases the amount of electricity produced. However,

the change in the angle of the sun's rays has an adverse effect on energy production. In this

study, it was aimed to increase the efficiency of the solar panels by moving according to

angle of sunlight. For this purpose, solar panel was driven by the servo motor and it was

directed to the sunlight. Servo motor's PID control was implemented using the MATLAB

program. The energy analysis made is given in the results.

KEYWORDS - Solar Panel, Servo Motor, PID Control



NOISE PROPAGATION PREDICTION OF THE WIND TURBINES

ACCORDING TO THE INTERNATIONAL STANDARD ISO 9613 2

ONUR KOSAR1, MUSTAFA ARIF OZGUR2, RAMAZAN KOSE3, FATIH SELIM

BAYRAKTAR4, MESUT YAZICI5, OGUZ OZAN YOLCAN6

1 Dumlupinar University, Turkey; 2 Dumlupinar University, Turkey; 3 Dumlupinar

University, Turkey; 4 Dumlupinar University, Turkey; 5 Dumlupinar University,

Turkey; 6 Dumlupinar University, Turkey

ABSTRACT

In this study, a calculation tool was developed based on the international standard ISO

9613-2 to calculate the noise propagation of wind turbines. The results of this calculation

tool were compared with the noise measurements and WindPro calculations of the wind

farm of the Renewable Energy Sources Center in Lavreotiki, Greece. It is observed that

the results are in good agreement with the experimental measurements and the WindPro

results. Noise propagation of DKIT wind turbine located on-campus at Dundalk Institute

of Technology (DkIT), County Louth, Ireland was calculated to discuss the effect of the

noise impacts of the wind turbines on the humans. Acknowledgements This study was

supported by Scientific Research Project Program of Dumlupınar University under Grant

DPU-BAP-2017-20.

KEYWORDS - Noise Propagation, Wind Turbines, Sound Pressure Level, ISO 9613-2



NUMERICAL SIMULATION OF A PITCHING CORRUGATED DRAGONFLY

WING WITH USING LATTICE BOLTZMAN AND LES METHODS

ONUR KOSAR1, RAMAZAN KOSE2, MUSTAFA ARIF OZGUR3, MESUT

YAZICI4, OGUZ OZAN YOLCAN5, FATIH SELIM BAYRAKTAR6




ABSTRACT

In this study, unsteady aerodynamic characteristic of a pitching corrugated dragonfly wing

was analyzed at a 14000 Reynolds number with using Lattice-Boltzman and Large Eddy

Simulation (LES) methods. This study reports the capability of these methods for solving

the complex flow phenomenon. Two dimensional numerical analyzes were carried out for

10˚ angular amplitude and different reduced frequencies (1.24, 2.48, 4.96) with using

XFlow software. The results are compared with the experimental data and URANS model

results of a similar study. According to the results, the Lattice-Boltzman and LES methods

are effective tools in solving this complex fluid phenomenon. Acknowledgements This

study was supported by Scientific Research Project Program of Dumlupınar University

under Grant DPU-BAP-2017-22.

KEYWORDS - CFD, Pitching Airfoil, LES, Lattice-Boltzman



BIOGAS ENERGY OPPORTUNITY OF SMALL COUNTIES A CASE STUDY OF

SIMAV

FATIH SELIM BAYRAKTAR1, RAMAZAN KOSE2, M ARIF OZGUR3, OZER

AYDIN4, ONUR KOSAR5, MESUT YAZICI6




ABSTRACT

Turkey has a rich potential in alternative energy sources. Biogas technology enables

organic wastes as an energy source that has negative effects on human health and

environment. The correct identification of organic waste potential has a key role in the

efficient use of biogas technology. In this study, biogas potential of cattle, small ruminant

and poultry animals’ wastes in Simav county of Kütahya province was investigated. The

study presents annual energy produced by biogas technology based on the number of

animals in the county and unit costs of produced energy.

KEYWORDS - Biogas, Animal Waste, Biogas Potential, Economic Analysis, Simav



PERFORMANCE EVALUATION FOR GREENHOUSE HEATING

GEOTHERMAL WASTE HEAT SOURCE HEAT PUMP

MESUT YAZICI1, RAMAZAN KOSE2, MUSTAFA ARIF OZGUR3, ONUR

KOSAR4, FATIH SELIM BAYRAKTAR5, OGUZ OZAN YOLCAN6




ABSTRACT

Greenhouses play an important role in the continuation of agricultural activities

throughout a year. The biggest problems emerged in the greenhouse are heating

performance and costs. In this study, suitability of application as a different method from

current greenhouse heating systems is investigated. Using of waste heat of geothermal

source used in the district heating is aimed at greenhouses heating. In according to this

approach, the geothermal waste heat source heat pump is designed for greenhouse heating.

To detect suitability of this design, performance analysis is made and efficiency of the

design is determined for different locations heated district and greenhouse with the

geothermal source in Turkey. Heat demand for greenhouse and energy consume values to

meet this demand are calculated each month in heating season. Furthermore, heating cost

of the designed system is compared with the current heating system by making economic

analysis for design. To obtained results, feasibility situation of designed system is

evaluated.

KEYWORDS - Greenhouse Heating, Geothermal Waste Heat, Heat Pump, Economical

Analysis, Thermal Performance



THE IMPACT OF METHANOL BIODIESEL EURODIESEL MIXTURES IN A

DIESEL ENGINE TO EMISSIONS

HASAN AYDOGAN1, A ENGIN OZCELIK2, MUSTAFA ACAROGLU3


ABSTRACT

The reduction of fossil fuel reserves, the costly of such fuels, caused environmental and

climate pollution, led the world countries to seek alternative sources of energy. Alternative

energy sources are mostly collected under the heads of solar, wind, bioethanol, biogas and

biodiesel. Biodiesel in this group has been produced in significant quantities in the world

countries and is especially used as fuel in engine vehicles. Bioethanol and biodiesel are the

most common ones nowadays. Biofuels are based on renewable biological resources, very

good for biological degradation, lack of toxicity, causing very low emissions when burned,

and increasing usability for reasons such as environmentally friendly Detected. Biofuels

are grouped as bioethanol, biodiesel, biogas, biomethanol, biodimethylyl ether and biooil.

Biodiesel and bioethanol production are used as raw materials such as aspir, canola, soy,

ketencik, corn, sugar beet, sugarcane, sweet sorghum, straw, sorghum, rice, potatoes, rye,

barley, and tobacco. The strategic position of the biodirectory is also an unacceptable

situation. Biodiesel is produced from vegetable, animal and waste oils. Biodiesel can be

used in diesel engines with engine mixing ratios and 100% without any modification

required. Biodiesel does not include the diesel engine combustion efficiency and the

negative effect of emissions formation, aromatic hydrocarbons, metals and crude oil

residues. In this regard, it has a more ecological structure than diesel fuel. In this study, the

degree of purity has been used in methanol which is 99%. Biodiesel is manufactured by

transesterification method from Aspir oil. In all of the mixtures, biodiesel fuel and

methanol rates of 20% were used as 5%, 10% and 20%. Fuel comparison fuel is accepted

as Eurodiesel. In experiments, a four-stroke, commonrail fuel system, water-cooled, four-

cylinder diesel engine was used. As a result of experiments, CO2, HC, O2 and NOx

emissions were compared with the values of Eurodiesel fuel. In engine tests, changes in

engine performance and emissions were investigated in the use of methanol-biodiesel-

Eurodiesel mixtures with a common-rail fuel system. The use of mixed fuels M10-B20-

D75 (5% bioethanol, 20% biodiesel and 75% Eurodiesel), 15% to 35% CO, CO2 and HC

values for exhaust emissions from M10-B20-D70 and M20- were found to be decreased.

When the test results are examined, it can be seen that methanol can be used by mixing

20% biodiesel with no change in the common-rail fuel system diesel engines up to the

ratio of M20-B20-D60 and can contribute to reduction of harmful emissions.

KEYWORDS - Biodiesel, Methanol, Eurodiesel, Emissions



DRYING KINETICS OF PUMPKIN SLICES AND ANALYSIS OF

CONSISTENCY WITH DRYING MODELS

SELCUK DARICI1, OMER FARUK OZEL2

1 Selcuk University Faculty Of Engineering Dep Of Mechanical Engineering 42250 Konya

Turkey, Turkey; 2 Selcuk University Faculty Of Engineering Dep Of Mechanical

Engineering 42250 Konya Turkey, Turkey

ABSTRACT

Pumpkin is a winter vegetable mostly grown in middle Anatolia region of Turkey. While

seeds of pumpkin are consumed as a snack, the dried fleshy part of it is used for making

sweet, pudding, chocolate, instant soup, biscuit, and cake and also added in foods for birds

or domestic animals. In this study pumpkin slices, which are cut in a square form with

30mm side length and 4mm thickness, have been exposed to drying in a cabin type

convective experimental drying set. Experiments have been conducted with 1 m/s constant

velocity and different drying air temperatures of respectively 50, 60 and 70 oC. At the end

of the experiments, samples of pumpkin slices have been found to dry in falling drying

rate period. Moisture ratio values calculated experimentally have been compared with the

results of some half theoretical drying models in literature which may represent the drying

behaviour of the the pumpkin slices. While seeking for the suitable model a non-linear

regression analysis has been used. It has been concluded that, Midilli et al. model is

consistent with the drying behaviour of pumpkin slices in hot air drying. Furthermore;

while analyzing the drying characteristics of the pumpkin slices, the effective moisture

diffusion coefficients at the drying air temperatures used in the experiments have been

determined by making use of Fick’s second law, the theoretical model of drying.

Meanwhile diffusion coefficients have been found to increase with drying air

temperatures.

KEYWORDS - Drying, Drying Kinetics, Mathematical Models, Effective Diffusivity,

Pumpkin



EXPERIMENTAL ANALYSIS OF A SOLAR AIR COLLECTOR WITH

TRAPEZOIDAL ABSORBER PLATE

SELCUK DARICI1, ANIL KILIC2

1 Selcuk University Faculty Of Engineering Dep Of Mechanical Engineering 42250 Konya

Turkey, Turkey; 2 Selcuk University Faculty Of Engineering Dep Of Mechanical

Engineering 42250 Konya Turkey, Turkey

ABSTRACT

Turkey, as of its location, has a great potential in terms of solar energy as one of the

renewable energy resources. Using the solar collectors with air flow in space heating and

drying applications is one of the methods of making effective use of solar energy. In this

study an air solar collector with double glass covered and single pass has been designed,

manufactured and tested in climatic conditions of Konya-Turkey. The absorber plate of the

collector has trapeze profile surfaces. In the experimental study, temperatures of the air

inlet and outlet in the collector, absorber plate, glass cover, and ambient air, velocity of the

wind and the air passing through the collector have been measured. The hourly values of

the solar radiation intensities over to horizontal surface have been measured via a

pyranometer and the amount of incident solar radiation on tilted collector surface has been

determined using model equations. Heat loss from the upper and lateral sides of the

collector, useful thermal energy transferred into air, and thermal efficiency of the collector

have been calculated. Experiments have been conducted for three different air mass flow

rates of 0.022 kg/s, 0.033 kg/s, 0.044 kg/s. In lights of the experimental data, instant

changes of temperatures and thermal efficiency, effects of solar radiation and air mass

flow rate to increase in temperature and thermal efficiency of the collector have been

analysed. At the end of the analysis with the increase in the air flow rate, outlet air

temperature has been found to decrease and also thermal efficiency of the collector has

been found to increase. Depending on the other parameters it has been found that air

temperature in the collector could be increased between 8-35 oC and the thermal

efficiency of the collector has changed between 37% and 74%.

KEYWORDS - Solar Air Collector, Thermal Efficiency, Absorber Plate, Solar Energy,

Trapeze Profile



SURFACE ACOUSTIC WAVE BESSEL BEAMS FOR MICROFLUIDIC LAB ON

A CHIP DEVICES

YESIM YALCIN1, BULENT ULUG2, AYSE EROL3, OLGUN ADEM KAYA4, AHMET

CICEK5

1 Istanbul University, Turkey; 2 Akdeniz University, Turkey; 3 Istanbul University,

Turkey; 4 Inonu University, Turkey; 5 Mehmet Akif Ersoy University, Turkey

ABSTRACT

Non-diffractive surface acoustic wave Bessel beams are generated and characterized on a

lithium niobate piezoelectric substrate via two identical interdigital transducers tilted with

respect to the acoustic axis to form an axicon. Bessel beam generation is predicted through

Finite-Element Method simulations. When the tilt angle is 15 or 20 degrees, Bessel beams

with spot size on the order of wavelength and propagation distance as large as 50

wavelengths at a frequency of 13.32 MHz corresponding to a wavelength of 300

micrometers are obtained. The interdigital transducers are fabricated on the piezoelectric

substrate by a combination of photolithography, electron beam evaporation and lift-off

techniques. Electrical characterization of Bessel beams are carried out in the delay-line

configuration through a spectrum analyzer. Bessel beams are experimentally generalized

and visualized through schlieren photography. The non-diffractive nature of surface

acoustic wave Bessel beams can be leveraged to obtain microfluidic acoustophoresis

devices.

KEYWORDS - Surface Acoustic Wave, Bessel Beam, Microfluidics, Finite-Element

Method



ONE DIMENSIONAL PHONONIC CRYSTAL ACOUSTIC RING RESONATOR

OLGUN ADEM KAYA1, FATIH CAN OKAY2, DIGDEM TRAK3, YASIN

ARSLAN4, NURETTIN KOROZLU5, AHMET CICEK6, BULENT ULUG7

1 Inonu University, Turkey; 2 Mehmet Akif Ersoy University, Turkey; 3 Mehmet Akif

Ersoy University, Turkey; 4 Mehmet Akif Ersoy University, Turkey; 5 Mehmet Akif Ersoy

University, Turkey; 6 Mehmet Akif Ersoy University, Turkey; 7 Akdeniz University,

Turkey

ABSTRACT

An acoustic ring resonator composed of a one-dimensional phononic crystal comprising

trapezoidal protrusions on a solid surface is numerically designed and experimentally

characterized. Band structure calculations based on the Finite-Element Method reveal that

surface states of the phononic crystal appear below 70 kHz when the lattice constant, base

width, top width and heigth are 2.0 mm, 1.4 mm, 0.6 mm and 0.8 mm, respectively. Ring

resonator is formed by wrapping the phononic crystal on the inner surface of an annular

plastic material so that the inner radius is equal to 203 periods. Finite-Element Method

simulations reveal sharp resonance peaks between 58 kHz and 59 kHz due to excitation of

surface states of the phononic crystal. Spectral characterization of the ring resonator is

carried out by means of a piezoelectric transducer with a resonant frequency around 58.5

kHz and a condenser electret microphone. The proposed acoustic ring resonator can be

employed in acoustic communication and gas sensing.

KEYWORDS - Phononic Crystal, Surface Wave, Ring Resonator, Finite-Element Method



ASSESSMENT OF HYDROTHERMAL ENERGY CONSUMPTION IN TURKEY

SUHEYLA YEREL KANDEMIR1

1 Bilecik Seyh Edebali University, Turkey

ABSTRACT

Hydrothermal energy is one of the important renewable energy sources in the world.

Hydrothermal energy is the process of obtaining heat or energy from a large body of

water. The prediction of hydrothermal energy consumption in countries are very important

in energy planning. Due to the increase in the use of hydrothermal energy in Turkey

became more important. For this study, the hydrothermal energy consumption in Turkey

have been evaluated statistical analysis method. Based on statistical method, polynomial

regression model for hydrothermal energy consumption was derived with satisfactory R2

(R squared) correlation. The R2 correlation is calculated that 81.4%. These result reveal

that the polynomial regression model may used for estimating the hydrothermal energy

consumption in Turkey.

KEYWORDS - Renewable Energy, Hydrothermal Energy Consumption, Turkey,

Statistical Analysis



A NEW CORE SHELL CAMOO4 EU MNFE2O4 COMPOSITE

GOKHAN YILMAZ1, FATIH MEHMET EMEN2, RUKEN ESRA

DEMIRDOGEN3, ALI IHSAN KARACOLAK4, DERYA KILIC5, ZEYNEP

YILDIRIM6, OGUZHAN SONMEZ7

1 Mehmet Akif Ersoy University, Turkey; 2 Mehmet Akif Ersoy University,

Turkey; 3 Cankiri Karatekin University, Turkey; 4 Mehmet Akif Ersoy University,

Turkey; 5 Mehmet Akif Ersoy University, Turkey; 6 Mehmet Akif Ersoy University,

Turkey; 7 Mehmet Akif Ersoy University, Turkey

ABSTRACT

Spinel ferrites have interesting electrical, magnetic properties and it can be used

technological applications. Among them, manganese ferrite (MnFe2O4) considered as

inverse spinel, but later found to be 80% normal and 20% inverse structure [1]. In present

study, we aimed at obtaining luminescent CaMoO4:Eu@MnFe2O4 composite via co-

precipitate process. The obtained composite was characterized via XRD, SEM and PL

spectra. The PL emission spectrum of CaMoO4:Eu@MnFe2O4 composite is given in

Figure. Figure Emission spectrum of CaMoO4:Eu@MnFe2O4 composite The emission

spectrum reveals six different emission peaks observed are at 562 nm, 592 nm, 612-623

nm, 654 and 708 nm, respectively. The peak at 562 nm arises from the 5D1-7F1

transitions of Eu3+ ions and the 5D0-7FJ (J=3, 4) transitions of Eu3+ ions give rise to the

peaks observed between 650 nm and 750 nm.

KEYWORDS - CAMOO4, MNFE2O4



CZTS THIN FILM DEPOSITION AND ELECTRICAL STABILITY

CHARACTERIZATION

GOKHAN YILMAZ1, OGUZHAN SONMEZ2, FATIH MEHMET EMEN3, DERYA

KILIC4, ZEYNEP YILDIRIM5, ALI IHSAN KARACOLAK6

1 Mehmet Akif Ersoy University, Turkey; 2 Mehmet Akif Ersoy University,



Turkey

ABSTRACT

Cu2ZnSnS4 (CZTS) thin film solar cells are new generation environment friendly, easy

and low cost production solar cells. There are many production methods of CZTS such as

Spin coating, Sol-Gel, SILAR, RF-Sputter, Electron Beam Evaporation, Thermal

Evaporation, Spray Pyrolysis, Pulse Laser Deposition, Electrodeposition [1-10]. In this

study Cu2ZnSnS4 (CZTS) thin films have been prepared by Successive Ionic Adsorption

and Reaction (SILAR) and Chemical Deposition method (CDM) on stainless steel

substrate. Films were deposited around 1µm thicknesses. After deposition, films were

gradually annealed at 373K 1 hour, at 573K 1hour and finally at 723K 7 hours. Gradual

annealing procedure were applied to see crystallization formation (kesterite structure) of

CZTS thin films. Annealed and as deposited films structural formation defined by X-Ray

diffraction and scanning electron microscopy (SEM). Electrical characterizations were

done on conductivity system with Keithley 617 electrometer and voltage source. Room

temperature dark and photo I-V of CZTS film measured before and after annealing

procedure. In laboratory atmosphere room temperature time dependent dark conductivities

were recorded in order to define stability of CZTS films. In conclusion, significant

formation differences were not observed between SILAR and CDM. The X-ray diffraction

studies showed the formation of kesterite structure of CZTS films after gradual annealing

procedure. Scanning electron microscopy shows that after gradual annealing procedure

dense grains CZTS crystalline formation occur. Long term (1000 hours) stability

measurements still continue.

KEYWORDS - CZTS, SILAR, Chemical Deposition, XRD, Electrical Stability



THE FINITE TEMPERATURE PROPERTIES OF INTERACTING ELECTRONS

CONFINED BY V R AR 2 BR 6 POTENTIAL

BERNA GULVEREN1

1 Selcuk University, Turkey

ABSTRACT

In this work, the physical state properties (the chemical interaction, electron density..etc)

of interacting electrons trapped in a potential containing anharmonic term[1] like

(v(r)=αr^2+βr^6; α andβ are const. ) in two dimensional space are analyzed by using

Thomas-Fermi approximation[ 2,3] at finite temperatures. A numerical method has been

used to solve Poisson and Thomas Fermi equation self- consistently. The deviations of the

results created by the perturbations of βr^6 term have been discussed by comparing them

with those calculated by harmonic potential (αr^2) [4,5] and quartic anharmonic potential

(αr^2+βr^4) at finite temperatures[6]. We also focus on how the strength of electron

interactions changes the electron distribution or other physical properties of confined

system. The results obtained here can be applied to two dimensionally quantum dot

systems [7] where the electrons are trapped within a potential caused by difference

between the semiconductor materials or applied external voltages or both.

KEYWORDS - Fermi Gas, Trap, Thomas-Fermi Equation, Quantum Dot, Finite

Temperature



THE GROUND STATE PROPERTIES OF INTERACTING ELECTRONS

CONFINED IN A TWO DIMENSIONAL QUANTUM DOT WITH MORSE

POTENTIAL

BERNA GULVEREN1

1 Selcuk University, Turkey

ABSTRACT

Quantum dots are attractive structures and they have found lots of applications in the fields

of semiconductor lasers, solar cells, next generation computer memory and other device

systems [1-2]. A quantum dot can be formed by many fabrication methods and confining

potential can change depending on the production method [3-4]. A Coulomb interaction

and confinement type strongly affect the physical properties (electron density, chemical

potential) of the quantum system [5-7]. In this work, the ground state properties of

interacting electrons trapped in Morse potential [8] have been numerically analyzed by

using Thomas-Fermi approximation [5-7] for two dimensional quantum dot system.

Comparison of the results with those calculated for a sistem confined in parabolic potential

[5,9-10] have been also presented. The discussion has been expanded by comparing the

results of interacting system with ideal (non-interacting) case for Morse potential.

KEYWORDS - Quantum Dot, Electron Gas, Thomas-Fermi Approximation, Morse

Potential



THE EFFECT OF BORON ADDITION TO HIGH MN STEEL BY SAND

CASTING ON WEAR RESISTANCE

EBRU SARALOGLU GULER1

1 Baskent University, Turkey

ABSTRACT

ASTM A 128 Grade C steel has been known as important wear-resistant material.

Nowadays, Fe-B-Cr alloy has been come into prominence for being a candidate material

for abrasive applications. Ferroboron is mixed into the standard ASTM A 128 Grade C

composition. The aim of the study is to determine the effect of boron addition to the

standard alloy on wear properties by using pin on plate tribometer. It is concluded that the

wear resistance was increased in case of ~1wt% B addition.

KEYWORDS - Boron, Wear, Casting, Ferroboron



INTERFACE INVESTIGATION VIA FLOURINE TERMINATED SELF

ASSEMBLED MONOLAYER IN HYBRID SOLAR CELLS

DUYGU AKIN KARA1, GORKEM OYLUMLUOGLU2, KORAY KARA3, MUSTAFA

CAN4, MAHMUT KUS5

1 Mugla Sitki Kocman University, Turkey; 2 Mugla Sitki Kocman University,

Turkey; 3 Selcuk University, Turkey; 4 Izmir Katip Celebi University, Turkey; 5 Selcuk

University, Turkey

ABSTRACT

Perovskite based organic-inorganic hybrid solar cells have shown to be a promising

commercially relevant photovoltaic deviceare specified as a significant option for easily

produced renewable energy because of their low device fabrication costs and high power

conversion efficiencies (PCE)1-3. New generation perovskite solar cells, which have high

carrier mobility, great optical absorption spectrum and band gap characteristics , are

regarded as “the Next big thing”4 in photovoltaics and overcoming theoretical expectation

%20.1 PCE has already been achieved. Interface engineering of the perovskite layer with

the electron and hole separating layers has been proved to be crucial for optimizing and

improving overall device performance, stability and life times For planar heterojunction

perovskite solar cells, the nature of the electrical contacts between the organic layers and

metal electrodes is one of the most important issue in profiling device parameters such as

open circuit voltage Voc, short circuit current Jsc and fill factor FF. In this work, we

demonstrated the surface modification of ITO with a series of boronic acid derivatives

(functional group with Flourine) based on self-assembled monolayer (SAM) technique and

its effect on stability and reproducibility of perovskite solar cells. SAM molecules on ITO

surface allow the tuning work function and thus increasing short circuit photocurrent

density Jsc and enhancing stability and power conversion efficiency in solution processed

planar heterojunction perovskite solar cells.

KEYWORDS - Perovskite Solar Cell, Interface Engineering, Self-Assembled Monolayers



INVESTIGATION OF ELECTRONIC STRUCTURE IN INTERFACES OF

RUBRENE SINGLE CRYSTALLINE DEVICES

DUYGU AKIN KARA1, EDMUNT BURNETT2, KORAY KARA3, GORKEM

OYLUMLUOGLU4, MAHMUT KUS5, ALEJANDRO BRISENO6

1 Mugla Sitki Kocman University, Turkey; 2 University Of Massachusetts Amherst, United

States; 3 Selcuk University, Turkey; 4 Mugla Sitki Kocman University, Turkey; 5 Selcuk

University, Turkey; 6 University Of Massachusetts Amherst, United States

ABSTRACT

The electronic properties of organic single crystals have been well researched for many

years [1-2]. The study of single crystals has provided to understand the charge transport

mechanism in organic semiconductors. Their high mobilities and outstanding electrical

characteristics would make them promising candidates for electronic applications such as

drivers for active matrix displays and sensor arrays[3-5]Rubrene single crystal (5,6,11,12 –

tetraphenyltetracene; C42H28) is the most famous low-cost material in this area. Phenyl

side-groups of the rubrene improve the overlap of the electron orbitals of adjacent

molecules in the crystal, significantly improving the mobility (40 cm2/V.s) [4]In this work

fabrication and characterization of single crystal solar cell in vertical device configuration

with different crystal thickness has been realized. Also, crystal thickness effects on charge

transport mechanism and donor acceptor interface have been investigated via light

intensity measurement in terms of dominant recombination process

KEYWORDS - Rubrene Single Crystals, Organic Solar Cells, Interface Investigation,

Light İntensity Measurement



THE ROLE MN SUBSTITUTIONS ON THE MORPHOLOGY CRYSTALLITE

GRAIN SIZE AND OPTICAL CONSTANTS OF ZNS NANOCRYSTALLINE

THIN FILMS

ABDULLAH GOKTAS1, AHMET TUMBUL2, NURI YORULMAZ3 , FERHAT

ASLAN4 , MEHMET MURAT YASAR5

1 Harran University Physics Department, Turkey; 2 Harran University Physics Department,

Turkey; 3 Harran University Physics Department, Turkey; 4 Harran University Physics

Department, Turkey; 5 Harran University Health Services Vocational School, Turkey

ABSTRACT

The role of Mn substitution levels (x=0-0.15) on the morphology, crystallite/grain size and

optical constants of solution derived ZnS nanocrystalline thin films have been

investigated. The XRD, SEM and Uv-Vis spectrophotometers have been used to scrutinize

the structural, surface morphology and optical characteristics of the Zn1-xMnxS

nanocrystalline thin films. The results exhibited Zn1-xMnxS nanocrystalline thin films

have a wurtzite hexagonal ZnS structure without any secondary phases, related to the

metal oxides/sulphides. With increased Mn substitution levels, the average crystalline

quality/grain size were increased for the certain substitution levels (x=0.02-0.05) and then

decreased for levels (x>0.05). The same trend was also observed for the grain size of the

films as observed from the surface morphologies of them. Depending on the Mn

substitution levels, the optical band gap was changed from 3.59~3.23. The computed

optical constants such as the absorption coefficient, refractive index, extinction coefficient

and optical dielectric constant were strictly changed according to the Mn substitution

levels.

KEYWORDS - Zn1-xMnxS Thin Films; Crystallite/Grain Size; Refractive İndex;

Extinction Coefficient; Dielectric Constant



STRUCTURAL AND OPTICAL PROPERTIES OF NON STOICHIOMETRIC

CZTS ABSORBER LAYER

AHMET TUMBUL1, ABDULLAH GOKTAS2, FERHAT ASLAN3, NURI

YORULMAZ4, MEHMET MURAT YASAR5

1 Harran University Physics Department, Turkey; 2 Harran University Physics Department,

Turkey; 3 Harran University Physics Department, Turkey; 4 Harran University Physics

Department, Turkey; 5 Harran University Health Services Vocational School, Turkey

ABSTRACT

In this work we presented to the influence of different stoichiometri on the physical

properties of the solution based Cu2ZnSnS4 (CZTS) thin-films. The XRD results pointed

out that the quaternary CZTS thin films crystallized with kesterite structures with (112)

preferred orientation. The Full Width at Half Maximum (FWHM) of main peak of CZTS

get more narrow and the diffraction peaks became more stronger when the Cu/(Zn+Sn)

ratio increases due to the enhance the crystallinity of sample with increase the copper

content. The Cu/(Zn+Sn) ratio decreased from 1.4 to 0.92, the band gap of CZTS samples

increased from ~1.5 eV to 1.7 eV explained that the blue shift of the band gap values may

changing of degree of p-d hybridization between Cu d-levels S p-levels.

KEYWORDS - CZTS, Thin Film, Solar Cell, Absorber Layer



TEXTURES AND OPTICAL REFRACTION IN COMPLEX AMPHIPHILIC

LYOTROPIC LIQUID CRYSTALLINE SYSTEMS

YASEMIN ALTINAY1, ARIF NESRULLAJEV2

1 Mugla Sitki Kocman University, Turkey; 2 Mugla Sitki Kocman University, Turkey

ABSTRACT

Complex amphiphilic lyotropic systems as the important mixtures of amphiphilic materials

present aroused important interest in various fields of technique, technology and industry.

Therefore, lyotropic systems based on mixtures of different amphiphilic materials are the

objects of extensive experimental and theoretical investigations The mesomorphic and

optical refraction of the bicomponent amphiphilic lyotropic systems were investigated.

Lyotropic systems with various concentration combinations as cationic/cationic,

anionic/anionic and cationic/anionic lyotropic mixtures have been used for preparation of

lyotropic systems. Peculiarities of textures, dynamics of change of the magneto-

morphologic properties vs. time, character of the heterophase regions of the mesophase –

isotropic liquid phase transitions and temperature dependences of the optical refraction of

these bicomponent amphiphilic lyotropic systems have been investigated.

Acknowledgement This work has been partially supported by the Scientific Research

Foundation of Mugla Sitki Kocman University, Grant No: 17/132

KEYWORDS - Optical Rafraction, Lyotropic Liquid Crystalline Systems, Complex

Amphiphile Mixture, Mesophase, Phase



TEXTURES PHASE STATES AND ELECTROCONDUCTIVITY IN

BICOMPONENT AMPHIPHILIC DDTMABR HDTMABR WATER LYOTROPIC

SYSTEM

YASEMIN ALTINAY1, ARIF NESRULLAJEV2

1 Mugla Sitki Kocman University, Turkey; 2 Mugla Sitki Kocman University, Turkey

ABSTRACT

In this work, investigations of the morphologic, mesomorphic properties and specific

electrical conductivity properties in lyotropic micellar L1 phase have been carried out.

Bicomponent amphiphilic (DDTMABr + HDTMABr) + water lyotropic system with

various DDTMABr/HDTMABr concentration ratios have been objects of our

investigations. Phase diagram for L1 phase in this system has been determined. Effect of

the DDTMABr/HDTMABr concentration ratios on the specific electrical conductivity has

been observed. Mutual influence of amphiphile with short alkyl chain (DDTMABr) and

long alkyl chain (HDTMABr) on the phase states have been found. Our results show that

variation of concentration ratio in mixture of amphiphiles with different length of the non-

polar tail gives possibility to regulate the hydrophilicity degree, boundaries of lyotropic

phases and mesophases and value of the specific electrical conductivity of mixed lyotropic

systems. Acknowledgement This work has been partially supported by the Scientific

Research Foundation of Mugla Sitki Kocman University, Grant No. 17/132.

KEYWORDS - Electrical Conductivity, Lytropic Micellar L1 Phase, Mesophase, Phase



EFFECT OF PARTIAL REPLACEMENT OF SLAG BY SILICA FUME ON THE

MECHANICAL PROPERTIES OF GEOPOLYMERS

NIHAN GULMEZ1, NIYAZI UGUR KOCKAL2

1 Akdeniz University, Turkey; 2 Akdeniz University, Turkey

ABSTRACT

Researches in recent years have focused on geopolymers due to their low cost and

reduction in greenhouse gas emissions. Geopolymers are a type of aluminosilicate

cementitious material formed by polycondensation reactions. Geopolymerization process

involves a chemical reaction between industrial by products like metakaolin, bottom ash,

blast furnace slag, silica fume and alkaline solution. In this study, slag based geopolymer

specimens with different percentage of silica fume were made by using sodium hydroxide

and sodium silicate. Compressive, flexural and splitting tensile strength tests have been

conducted to evaluate the mechanical properties of the specimens. The results showed that

addition of 20% silica fume improved the compressive and splitting tensile strength of the

geopolymer specimens. Flexural strengths also increased with silica fume addition up to

40% and then decreased with further increase of silica fume. The strength increase with

silica fume is because of highly effective pozzolanic reaction of silica fume which

improves its properties like compressive strength, flexural strength, and splitting tensile

strength.

KEYWORDS - Alkali Activator, Aluminosilicate Materials, Curing Condition,

Mechanical Properties, Strength



COMBINED EFFECTS OF SILICA FUME AND CURING CONDITIONS ON THE

PHYSICAL PROPERTIES OF SLAG BASED GEOPOLYMER MORTARS

NIHAN GULMEZ1, NIYAZI UGUR KOCKAL2


ABSTRACT

Geopolymers are new green materials that provide an alternative to ordinary Portland

cement. The most important benefits of geopolymer materials are the reduced energy

consumption and CO2 emissions. Geopolymers are inorganic materials produced through

geopolymerization process between alkaline solution and aluminosilicate source. Silica

fume and granulated blast furnace slag were used as aluminosilicate materials in this

study. This paper presents the effects of silica fume and curing condition on the physical

properties of the geopolymer mortars. For experimental study, geopolymer mortars were

produced with using silica fume instead of slag (from 0% to 60% with a step of 20%). The

effects of silica fume addition on physical properties of geopolymer mortars has been

studied through the measurement of bulk density, water absorption, porosity and

sorptivity. It was observed that silica fume has negative effects on the physical properties.

The highest water absorption, apparent porosity and sorptivity were observed in the

geopolymer mortars produced with using 60% silica fume. The results also showed that

the sorptivity coefficient of geopolymer mortars was very sensitive to the curing condition.

KEYWORDS - Geopolymer, Curing Condition, Physical Properties, Silica Fume,

Sorptivity



USING OF STEEL FIBERS POLYPROPYLENE FIBERS FLYING ASH ON

CONCRETE PAVEMENTS

SAFAK BILGIC1, SAFA MUTYILMAZ2, MEHMET CANBAZ3

1 Esogu, Turkey; 2, Turkey; 3 Esogu, Turkey

ABSTRACT

Where the advancement of pavement technology in these years, Concrete Pavements have

very advantages on using and aplication for the roads. When design and production stage

of roads,As in all engineering products, most important item is life/cost ratio. This item

should be considered first. İn this study concrete pavement was selected and analysed

because of its high life/cost performance. Continuously Reinforced Concrete Pavements

(CRCP) are the most logical type in concrete pavements. This pavements are built-up

continuously and they have a long life cycle. Also in this study self-compacting concrete

(SCC) was detailed because of its cheaper and faster manufacturing effect. Self-

compacting concretes produced which has containing, different rates fibers anf fly ash

then tests have been completed. Sensitivityes, advantages, producting rules and

recommendations have been presented with obtained - achieved results and external

articles. Fibers were intended as make important contributions which is increaseing

performance as well as saves costs of reinforcement labor wages.

KEYWORDS - Concrete Roads, CRCP Pavements, Steel Fibers, Polypropylene Fibers,

Flying Ash, Pavement



A RESEARCH ON THE CORROSION DAMAGES OF CHEMICALS WHICH

ARE USED FOR FIGHTING AGAINST SNOW AND ICING ON ROADS

SAFAK BILGIC1, ALI OKUR2

1 Esogu, Turkey; 2, Turkey

ABSTRACT

Decreases occur at service quality of the traffic on the roads with in the highway network

in winter season due to falls and anti-icing. For this reason in the developed countries in

order to keep the roads anti-icing or filled with snow, new methods for prevention of anti-

icing and melting of the de-icing. In these methods used snow and ice struggle is made on

the highways with chemical deicers (NaCI, CaCl2, MgCl2, CMA, KAC, urea etc). In this

study first of all these methods are examined and summarized and their employability in

our country are researched. It has been known for many years that these chemicals give

harm to roads, vehicles, metal parts of the bridges and to the environment. For this reasons

the comparison of the chemicals were made by performing corrosion tests in order to

assess the damages that some chemicals give to road and metals. As a result of the studies

made, it has been seen that the damages that chloride based salts give to roads are more

than the damages organic contented chemicals. It has been fixed that resistance of the

metals was increased by adding additives in to chloride salts.

KEYWORDS - Snow Fighting, Ice Control, Avalanche, Anti-İcing, De-İcer, Pre-Wetting,

Corrosion Test



OPTICAL PROPERTIES OF CO DOPED SNO2 THIN FILMS USING A SIMPLE

ANALYSIS METHOD

SIBEL GURAKAR1, TULAY SERIN2

1 Ankara University, Turkey; 2 Ankara University, Turkey

ABSTRACT

Cobalt (Co) doped SnO2 thin films were grown by spray pyrolysis method on microscope

glass substrates. The cobalt doping was varied from 0 to 2 at. %. The effect of doping ratio

on the optical properties of SnO2 thin films were studied. The optical transmittances of

thin films were measured with UV-Vis-NIR spectrometer in the 300−2500 nm wavelength

range. A simple analysis according to Swanepoel’s method [1] was applied to

transmittance spectrum of each film to determine the thickness more accurately. The real

and imaginary parts of the complex index of refraction plus film thickness were also

obtained.

KEYWORDS - SnO2, Thin Film, Doping, Spray Pyrolysis, Optical Properties.



A COMPREHENSIVE STUDY ON THE FREQUENCY DEPENDENT

ELECTRICAL CHARACTERISTICS OF TIO2 MOS CAPACITORS

SALEH ABUBAKAR1, SENOL KAYA2, RAMAZAN LOK3, ALIEKBER

AKTAG4, HUSEYIN KARACALI5, ERCAN YILMAZ6

1 Abant Izzet Baysal University, Turkey; 2 Abant Izzet Baysal University, Turkey; 3 Abant

Izzet Baysal University, Turkey; 4 Abant Izzet Baysal University, Turkey; 5 Abant Izzet

Baysal University, Turkey; 6 Abant Izzet Baysal University, Turkey

ABSTRACT

In this work, a comprehensive study on the frequency dependent electrical properties of

Al/TiO2/p-Si MOS capacitors were investigated. The TiO2 thin film was deposited on p-

Si (100) wafer by electron beam evaporation (E-Beam) technique. X-ray Diffraction

measurement was used in order to study the structure and phase identification of the

fabricated TiO2 thin films. Electrical properties of the MOS capacitors were analysed by

Capacitance-Voltage and Conductance-Voltage measurements for various frequencies; 50

kHz, 100 kHz, 250 kHz, 500 kHz, 750 kHz and 1 MHz. The results show that obtained

Capacitance-Voltage and Conductance-Voltage properties of the fabricated Al/TiO2/p-Si

MOS capacitors are sensitive to applied voltage frequencies alterations. Capacitance-

Voltage properties of the MOS capacitors decrease with increasing frequencies and this is

due to the presence of the interface state between TiO2 and Silicon. The capacitance and

the conductance were corrected by removing the effect of the series resistance. And also,

the Conductance-Voltage properties of the MOS capacitors have shown similar behaviors

with the capacitance. In addition, interface state density and series resistance were

obtained and analyzed. The Capacitance-Voltage and Conductance-Voltage studies show

that interface states and series resistance are significant factors that cause alterations in the

electrical properties of the MOS capacitors.

KEYWORDS - Capacitance-Voltage, Conductance-Voltage, TiO2 MOS Capacitors, Thin

Films, P-Silicon, E-Beam



X RAY ANALYSIS OF IN DOPED SNO2 THIN FILMS BY WILLIAMSON HALL

METHOD

SIBEL GURAKAR1, TULAY SERIN2

1 Ankara University, Turkey; 2 Ankara University, Turkey

ABSTRACT

The undoped and Indium (In)-doped at various ratios SnO2 thin films were grown by

spray pyrolysis method on microscope glass substrates. The effect of doping ratio on the

structural properties of SnO2 thin films were investigated by X-ray diffraction (XRD)

method. The crystallite size was calculated for all the samples by using Debye-Scherrer’s

equation and Williamson-Hall [1] methods. Other physical parameters including strain,

stress and energy density were also determined from the modified form of W-H plot

assuming a uniform deformation model (UDM), uniform stress deformation model

(USDM) and uniform deformation energy density model (UDEDM).

KEYWORDS - SnO2, Thin Film, Spray Pyrolysis, Structural Properties, Williamson-Hall

Method.



INVESTIGATION ON OPTICAL AND ELECTRICAL PROPERTIES OF E BEAM

DEPOSITED AL TIO2 P SI MOS CAPACITORS

SALEH ABUBAKAR1, SENOL KAYA2, RAMAZAN LOK3, ALIEKBER

AKTAG4, NURETTIN KARAGOZ5, ERCAN YILMAZ6

1 Abant Izzet Baysal University, Turkey; 2 Abant Izzet Baysal University, Turkey; 3 Abant

Izzet Baysal University, Turkey; 4 Abant Izzet Baysal University, Turkey; 5 Abant Izzet

Baysal University, Turkey; 6 Abant Izzet Baysal University, Turkey

ABSTRACT

In this study, optical and electrical Properties of E-Beam deposited Al-TiO2p-Si MOS

capacitors have been studied and investigated. The films were deposited on p-type (100)

Silicon wafer by using electron beam evaporation technique. The fabricated TiO2 thin

films were annealed at 800 0C for one hour (1h) under N2 ambient. X-ray Diffraction

measurements were performed to study the structure and phase identification of the

fabricated TiO2 thin films. For the optical properties, reflection, transmittance, refractive

index and absorption coefficient were obtained and analyzed. The photocurrent and dark

current of the fabricated MOS capacitors were measured by I-V measurements. The

measurement of the I-V characteristics possesses good ohmic contact. The electrical

properies of the MOS capacitors were performed in the range of the low frequencies (50

kHz and 100 kHz) and high frequencies (750 kHz and 1 MHz) by the Capacitance-Voltage

and Conductance-Voltage measurements at room temperature. The C-V of the fabricated

TiO2 MOS capacitor at both high and low frequencies increases with the decrease in

frequencies. The obtained conductance curves increase with the decreasing in the

frequencies. This can be due to the interface state density, series resistance and interfacial

dielectric of the fabricated MOS capacitors. The variation in the properties of the

fabricated films shows that TiO2 is a promising candidate to be used in the optoelectronic

and future UV detector applications as a switch, such as an optical amplifier, emitter and

UV light detectors.

KEYWORDS - Capacitance-Voltage, Conductance, Current-Voltage, TiO2 MOS

Capacitors, Thin Films, Photo Current, Dark Current, UV



DETERMINATION OF THE DARK AND ILLUMINATED ELECTRIC

PARAMETERS FROM J V CHARACTERISTICS OF CZTS THIN FILM SOLAR

CELL PRODUCED BY PULSED LASER DEPOSITION

SERAP YIGIT GEZGIN1, HAMDI SUKUR KILIC2


ABSTRACT

We have produced Cu2ZnSnS4 (CZTS) thin film solar cell in which each layer was

deposited by Pulsed Laser Deposition (PLD). CdS thin film molybdenum thin film and

silver thin film were grown using PLD technique as an n-type buffer layer, back contact

and front finger contacts, respectively. A special mask was produced in ideal size to use

for deposition of front fingers. All layers were deposited on the substrate at room

temperature, and the CZTS thin film, which is an absorbing layer, was annealed at two

different temperatures in sulphur environment. The morphological, crystal and optical

properties of annealed CZTS thin films and CdS thin films were analysed. The proportions

of the components constituting CZTS thin film were determined, grain size and band gap

were calculated. Measurements and comparison of current density-Voltage (J-V)

characteristics of CZTS thin film solar cells which are produced in same PLD vacuum

conditions and annealed in two different temperatures were carried out in dark and under

illumination, and then the ideal factor and barrier heights were calculated. In J-V

measurements, open-circuit voltage (Voc) and short-circuit current density (Jsc) were

obtained and power conversion efficiencies for CZTS solar cell produced were measured.

As results of our work, solar cells showed ideal diode characteristics, photo-induced

electrons under illumination caused photo current and power conversion efficiency. It can

be concluded that the annealing temperature of CZTS thin film affects the conversion

efficiency and we have determined the highest conversion efficiency as a function of

annealing temperature.

KEYWORDS - CZTS, PLD, Thin Film, Solar Cell, Efficiency



MORPHOLOGICAL CRYSTAL AND OPTICAL PROPERTIES OF CDS THIN

FILMS DEPOSITED AT DIFFERENT THICKNESSES BY PULSED LASER

DEPOSITION

BAHRI GEZGIN1, YASEMIN GUNDOGDU2, HAMDI SUKUR KILIC3

1 Selcuk Universitesi Fen Fakultesi Fizik Bolumu Kampus Selcuklu Konya Turkiye,

Turkey; 2 Selcuk Universitesi Fen Fakultesi Fizik Bolumu Kampus Selcuklu Konya

Turkiye, Turkey; 3 Selcuk Universitesi Sultan Merkezi Kampus Selcuklu Konya Turkiye

Selcuk Universitesi Fen Fakultesi Fizik Bolumu Kampus Selcuklu Konya Turkiye

University Of Selcuk Directorate Of High Technology Research And Application Center

Campus Selcuklu Konya Turkey, Turkey

ABSTRACT

In this study, CdS thin films were deposited on the microscopic slide glass substrate in

ambiance of 1×10-6 mbar pressure by using Pulsed Laser Deposition (PLD) technical,

using pulse laser at 1064 nm wavelength. CdS thin films were deposited at three different

thicknesses on the substrates at room temperature. The morphological characteristics of

the thin films were analysed by Scanning Electron Microscope (SEM) and Energy

Dispersive X-Ray (EDX) Analyser and the crystal structures were analysed by X-ray

powder diffraction (XRD). Optical properties of thin films produced were obtained using

UV-Vis spectra and Energy band gaps were calculated from Tauc Plot. The analysis

results of CdS thin films are interpreted in details according to their thickness. Thin films

grown on microscopic slides at room-temperature that have crystalline structures and grain

sizes were calculated. Also, CdS thin films have transparent structure and an ideal band

gap of n-type semiconductors. As a result, the CdS thin film at the ideal thickness to be

used as n-type buffer layer has been determined without using high annealing or substrate

temperatures to create the cracks leading to the leakage current and low power conversion

efficiency in the solar cells.

KEYWORDS - PLD, Laser, Thin, Films, XRD, SEM



PULSED LASER DEPOSITION SYSTEM AND MORPHOLOGICAL CRYSTAL

AND OPTICAL PROPERTIES OF THIN FILMS PRODUCED

SERAP YIGIT GEZGIN1, YASEMIN GUNDOGDU2, HAMDI SUKUR KILIC3

1 Selcuk Universitesi, Turkey; 2 Selcuk Universitesi, Turkey; 3 Selcuk Universitesi, Turkey

ABSTRACT

Pulsed Laser Deposition (PLD) system consists of the substrate and target material placed

in the vacuum chamber which is connected to a laser system. PLD is a physical

evaporation deposition technique based on the particles ablated from target material with

the high kinetic energy by a laser beam and directed to a substrate. The system has many

distinguishing features such as the achievement of stoichiometric transfer, the formation of

clean environment, the grown of crystalline structure and rough or smooth thin films, and

the ablation of materials with high melting point, and gives an opportunity to change its

parameters optionally. In addition, PLD can produce thin films such as transparent

conductive oxide (TCO) and complex semiconductors (materials with three or four

components), ferroelectric, ceramic, diamond-like carbons. In this study, we introduce the

components of our PLD system and present thin film materials produced with optional

parameters of PLD technique. In particular, it has been given and interpreted that the

morphological, crystal and optical properties of some TCO and n-type semiconductor thin

films, plasmonic nanoparticle thin films, and complex thin film materials fabricated on the

substrate at room temperature by PLD. As a result, we have exhibited that thin films

grown by PLD have ideal features for application potential in areas such as photovoltaic,

sensors and medicine areas.

KEYWORDS - PLD, Thin Film, Photovoltaic, Laser



SYNTHESIS OF CHIRAL HOMOALLYL AND HOMOPROPARGYL

ALCOHOLS

AYSEGUL GUMUS1, SELCUK GUMUS2

1 Van Yuzuncu Yil University, Turkey; 2 Van Yuzuncu Yil University, Turkey

ABSTRACT

There is a growing demand for the development of simple and efficient methods for the

production of chiral compounds as single enantiomers since the advent of asymmetric

synthesis and the discovery of novel biological activities. The acyclic alkyne or alkene

moieties and the O-anchoring sites on homoprapargylic and homoallylic alcohols make

them valuable precursors for the synthesis of many enantiopure compounds. The key

intermediates 2-benzothiophenyl and 2-benzofuranyl-substituted homopropargyl and

homoallyl alcohols are synthesized starting from their corresponding carboxyaldehyde

derivatives. The racemic heteroaryl-substituted alcohol derivatives are successfully

resolved, obtaining the corresponding enantiopure acetates and the alcohols in 80-99% ee

by applying chemoenzymatic methods using various lipases.

KEYWORDS - Enzymatic Resolution, Benzofuran, Benzothiophene, Homoallyl Alcohol,

Homopropargyl Alcohol



NANOENGINEERED SURFACES FOR POTENTIAL GLUCOSE SENSOR

APPLICATIONS

HILAL CELIK KAZICI1, FIRAT SALMAN2, MUGE YAYLA3

1 Science, Turkey; 2 Science, Turkey; 3 Science, Turkey

ABSTRACT

This study investigated the preparation, characterization, and application of carbon based

enzymeless/mediatorless glucose sensors. The modified electrode, was evaluated by

various characterisation methods. Sensing performance of the NGCE/Au-PdNPs/C

bimetallic electrode to glucose were evaluated in detail with respect to the linear

concentration range, limit of detection. The produced NGCE/Au-PdNPs/C sensors showed

a linear range from 0 mM to 5 mM, and a low limit of detection (0.3 µM) at the applied

potential of −0.3 V for glucose detection respectively. We investigated the interference

effect of common electroactive species such as ascorbic acid (AA) and uric acid (UA) no

interference effect of AA, AU were observed indicating that the electrodes can be used to

sensing glucose in real samples.

KEYWORDS – Bimetallic, Nanoparticles, Glucose, Interference, Real samples,

Characterisations, Nanoengineering



NGCE AU PDNPS C FOR HYDROGEN PEROXIDE SENSOR APPLICATIONS

HILAL CELIK KAZICI1, FIRAT SALMAN2, HILAL DEMIR KIVRAK3

1 Science, Turkey; 2 Science, Turkey; 3 Science, Turkey

ABSTRACT

This study investigated the preparation and application of carbon based

enzymeless/mediatorless hydrogen peroxide sensors. The modified electrode, was

evaluated by various characterisation methods. Sensing performance of the NGCE/Au-

PdNPs/C bimetallic electrode to H2O2 was evaluated in detail with respect to the linear

concentration range, limit of detection. The produced NGCE/Au-PdNPs/C sensors showed

a linear range from 0.00625 mM to 5 mM, and a low limit of detection (0.05 µM) at the

applied potential of −0.3 V. We investigated the interference effect of common

electroactive species such as ascorbic acid (AA) and uric acid (UA) no interference effect

of AA, AU were observed indicating that the electrodes can be used to sensing H2O2 in

real samples.

KEYWORDS – Bimetallic, Nanoparticles, H2O2, Interference, Real samples,

Nanoengineering



SYNTHESIS AND COMPUTATIONAL STUDIES ON ANTHRACENE PYRENE

SCHIFF BASES

AYSEGUL GUMUS1, SELCUK GUMUS2


ABSTRACT

Schiff bases are some of the most widely used organic compounds. They are used as

pigments and dyes, catalysts, intermediates in organic synthesis, and as polymer

stabilisers. Schiff bases have also been shown to exhibit a broad range of biological

activities, including antifungal, antibacterial, antimalarial, antiproliferative, anti-

inflammatory, antiviral, and antipyretic properties. Imine or azomethine groups are present

in various natural, natural-derived, and non-natural compounds. The imine group present

in such compounds has been shown to be critical to their biological activities. In this

study, the synthesis of anthracene-pyrene Schiff bases has been reported. Their structural

and electronic properties were computed with the application of B3LYP hybrid functional

together with 6-31G(d,p) basis set.

KEYWORDS - Anthracene, Pyrene, Schiff Bases, Structural And Electronic Properties



SHAPE STABILIZED ATTAPULGITE POLYETHYLENE GLYCOL

COMPOSITE FOR THERMAL ENERGY STORAGE

AHMET SARI1, ALPER BICER2, GOKHAN HEKIMOGLU3

1 Karadeniz Technical University Metallurgical And Material Engineering 61080 Trabzon

Turkey The Second Address Centers Of Research Excellence Renewable Energy Research

Institute Kfupm 31261 Dhahran Ksa, Turkey; 2 Department Of Chemistry Gaziosmanpasa

University 60240 Tokat Turkey, Turkey; 3 Karadeniz Technical University Metallurgical

And Material Engineering 61080 Trabzon Turkey, Turkey

ABSTRACT

A phase change material (PCM) is a thermal storage medium that enables the use of solar

energy and decrease active energy consumption in buildings for heating, ventilation and

air conditioning (HVAC) systems [1]. This can be reached through the application of

appropriate thermal energy storage technique (TES) on building compartments such as

walls, floors and ceilings or else on building envelopes [2]. The addition of an organic

PCM to a conventional building material in shape-stabilized form results in a composite

PCM with TES ability for HVAC purposes in buildings [3]. In this sense, this works is

aimed to impregnate polyethylene glycol (PEG) into attapulgite (ATP) as building

material using vacuum technique. The chemical/morphological properties of the prepared

PEG/ATP composite were studied by XRD analysis, SEM/EDX and FTIR techniques. The

latent heat thermal energy storage (LHTES) properties and thermal reliability of the

prepared shape-stabilized composite PCMs (SSt-CPCMs) were determined by differential

scanning calorimetry (DSC). The results showed that the ATP provided well supportive

matrix for PEG for maximum mass fraction of about 35 wt% without observing any

leakage of PCM due to capillary forces. The DSC analysis measurements indicated that

the developed SSt-CPCM has a melting temperatures of were measured as 12.7°C and the

latent heat capacity as 40.50 J/g. These LHTES properties are suitable for HVAC targets

in building applications. The developed SSt-CPCM also shows good thermal and chemical

reliability after thermal cycling process repeated for 500 times. By considering all results,

it was also concluded that the PEG/ATP composite prepared as SSt-CPCM can be used an

effective LHTES building materials to decrease energy expenditure conditional on the

climatic provisions. Acknowledgement: This work was supported by Scientific Research

Project Coordination Unit of Karadeniz Technical University. Project number: FBA-2017-

6863).

KEYWORDS - Composite PCM, Fly Ash, PEG, Thermal Energy Storage, Building



PREPARATION CHARACTERIZATION AND THERMAL ENERGY STORAGE

PROPERTIES OF FLY ASH FATTY ACID EUTECTIC MWCNTS COMPOSITE

AHMET SARI1, GOKHAN HEKIMOGLU2, ALPER BICER3

1 Karadeniz Technical University Metallurgical And Material Engineering 61080 Trabzon

Turkey The Second Address Centers Of Research Excellence Renewable Energy Research

Institute Kfupm 31261 Dhahran Ksa, Turkey; 2 Karadeniz Technical University

Metallurgical And Material Engineering 61080 Trabzon Turkey, Turkey; 3 Department Of

Chemistry Gaziosmanpasa University 60240 Tokat Turkey, Turkey

ABSTRACT

Fatty acids or eutectic mixtures as phase change materials (PCMs) have been preferred for

passive solar thermal energy storage (TES) purposes due to their favored latent heat

thermal energy storage (LHTES) properties [1]. However, direct utilization of these PCMs

causes any chemical interaction with close environment as well as leads to leakage

problem during solid-liquid phase change. In order to keep away from this difficulty, they

have been prepared encapsulated forms. However, obtaining capsule forms is

comparatively more complex and needed high cost. Another option is developing leakage-

resistive composite PCMs by integration of them with lightweight, porous and low cost

building materials. On the other hand, an additional disadvantage of fatty acids is low

thermal conductivity (0.14-0.20 W/mK), which strongly influences heat charging-

discharging rates. Moreover, their incorporations with building matrixes in stabilized form

can lead to significant decrease in thermal conductivity. However, thermal conductivity of

such a type composite can be significantly increased the doping of CNTs (thermal

conductivity 2000-4000 /m.K) [2]. In this regard, in this study, firstly eutectic mixture of

lauric acid(LA)-myristic acid(MA) was hold by fly ash (FA) as supporting building

matrix. In the second stage, this composite was doped by multi-walled carbon nano tubes

(MWCNTs) in mass fraction of 2, 4, 6 and 8 wt%. The chemical and morphological

structures of both FA/(LA-MA) and FA/(LA-MA)/MWCNTs were investigated by SEM,

FTIR, XRD techniques. The LHTES, thermal reliability and thermal stability properties of

the developed form-stable composite PCMs (FSt-CPCMs) were determined using DSC

and TGA techniques. The DSC results exposed that the produced FSt-CPCMs have

melting temperature in the range of 31-33°C and latent heat capacity of 58-61 J/g. The

thermal conductivities of the FSt-CPCMs were increased considerably by MWCNTs

addition. Furthermore, the fabricated FSt-CPCMs showed admirable thermal durability,

cycling LHTES performance and chemical stability. Besides, the FA/(LA-MA)/MWCNTs

developed as FSt-CPCMs can be integrated with usual building materials to create novel

building elements which can be used for passive solar TES applications.

Acknowledgement: This work was supported by Scientific Research Project Coordination

Unit of Karadeniz Technical University. Project number: FBA-2017-6863).

KEYWORDS - Composite PCM, Fatty Acids, Fly Ash, Thermal Conductivity, Thermal Energy Storage



PREPARATION AND N2 CO2 AND CH4 ADSORPTION OF CARBON

MOLECULAR SIEVE DERIVED FROM CHESTNUT SHELL BY CHEMICAL

VAPOR DEPOSITION

HAKAN DEMIRAL1, ILKNUR DEMIRAL2, UGUR MORALI3, CANAN SAMDAN4

1 Eskisehir Osmanhazi University, Turkey; 2 Eskisehir Osmanhazi University, Turkey

; 3 Eskisehir Osmanhazi University, Turkey; 4 Eskisehir Osmanhazi University, Turkey

ABSTRACT

Carbon molecular sieves (CMS) are carbonaceous materials with a narrow pore size

distribution. They can discriminate molecules on the basis of size, shape or on a difference

in adsorption equilibrium or, even, in adsorption rate. They are widely used in gas

purification and separation such as nitrogen production by air separation, hydrogen

purification, carbon dioxide capture and other gas separation. CMSs can be produced from

any carbonaceous material. Lignocellulosic biomass is also a cheap and abundant source

of carbon which can be effectively used for production of CMS. In general, there are two

main methods to manufacture microporous CMS; the first one is based on controlled

pyrolysis of a carbon precursor and the other one is based on the modification of the

existing porous structure by means of carbon vapor deposition technique (CVD) In this

study, activated carbon obtained from chestnut shell by H3PO4 activation, was used to

prepare CMSs by chemical vapor deposition (CVD) of methane. The influences of

deposition temperature (800-900 oC), time (15-60 min) and flow rate of CH4 (100-300

ml/min) on pore development of carbon molecular sieve were investigated. Several

techniques have been used in order to analyze the porous structure of these CMS.

Adsorption isotherms of N2 at 77 K, CO2 at 273 K and CH4 at 298 K were carried out

using a gas sorption analyzer. The carbon content of the CMS samples were determined by

elemental analysis. The surface functional groups and the surface morphology of the

CMSs were determined by FTIR analysis and SEM analysis, respectively. The deposition

temperature, time and flow rate of CH4 were shown to strongly affect the pore structure of

the CMS. The maximum CO2 and CH4 adsorption capacity was obtained as 265.44 and

18.16 mg/g, respectively.

KEYWORDS - Carbon Molecular Sieve, Carbon Vapor Deposition, Chestnut Shell



INVESTIGATION OF OPTICAL CHEMICAL AND MORPHOLOGICAL

PROPERTIES OF PANI FILMS OBTAINED BY RF PLASMA

POLYMERISATIONS

OZKAN BAYRAM1

1 Bayburt University, Turkey

ABSTRACT

Polymer thin films were obtained on glass substrates using plasma polymerisation

technique from an aniline material, an organic compound. The amorphous structure of the

thin films was confirmed using the XRD spectrum. AFM analyzes determined the average

roughness values of thin films, and these analyzes showed that the films were

homogeneous and nonporous. Optical properties such as optical band gap, extinction

coefficient and refraction index were investigated using UV-Vis spectroscopy. Optical

band gap analyzes have shown that thin films show semiconducting properties. FTIR

spectroscopy revealed that the chemical structure of the monomer material was also

preserved for polymer thin films. It was determined that Rf energy is a significant effect

on morphological, optical and chemical properties of thin films.

KEYWORDS - PANI, Plasma Polymerisation, Thin Films, FTIR



SYNTHESIS AND CHARACTERIZATION OF AL FE PILLARED BENTONITE

CLAYS

ILKER KIPCAK1, EMEL KURTARAN ERSAL2

1 Eskisehir Osmangazi University, Turkey; 2 Ministry Of Science Industry And

Technology, Turkey

ABSTRACT

In recent years, research on the application of pillared layered clays as catalyst became

important due to their catalytic and molecular sieve properties. The basis of pillared

layered clay production is to insert voluminous foreign agents between clay layers so that

natural sheets of clay become separated from each other. So in this way pore size can be

increased. In this study, Al/Fe pillared clay catalysts supported by bentonite, obtained

from Ordu-Fatsa region, were synthesized. Al/Fe-mixed pillared clays were produced by

using bentonite (B) or Na-saturated bentonite (NaB) as support material and pillared

layered solution having base/metal ratio of 2.0. The active metal ratio (AMR), here

defined as the atomic percent ratio between the active metal (Fe) and the total content of

metals (Al and Fe) in the intercalating solutions, was found to be a key factor for the

properties of the pillared solids. The clay samples and catalysts were characterized by X-

ray diffraction (XRD), X-ray fluorescence (XRF), differential thermal analysis (DTA),

thermogravimetric analysis (TGA), Brunauer-Emmett-Teller surface area analysis (BET),

scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDS)

and Fourier-transform infrared spectroscopy (FTIR). Basal spacing (d001) of the B and

NaB samples were determined by XRD as 15.45 Å and 12.41 Å, respectively. It was

observed that the basal spacing increased with increasing AMR and reached to 17.19 Å for

NaBAlFe12 catalyst. BET surface area and micropore volume of NaBAlFe12 catalyst

increased to 175.50 m2/g and 0.064 cm3/g, respectively. These values were 98.09 m2/g

and 0.032 cm3/g for NaB sample, respectively. Characterization results showed that the

clay structure remained unchanged after the pillaring process, but more porous materials

were obtained indicating that pillaring was successfully done.

KEYWORDS - Bentonite, Pillared Clay, Catalyst



DECOMPOSITION MECHANISMS OF NITROGEN RICH PYROTECHNICS

SELCUK GUMUS1, AYSEGUL GUMUS2, RIDVAN UYGUR3

1 Van Yuzuncu Yil University, Turkey; 2 Van Yuzuncu Yil University, Turkey;

3 Van Yuzuncu Yil University, Turkey

ABSTRACT

The decomposition mechanism of nitrogen rich, environmentally friendly (green)

pyrotechnics DHT (3,6-di(hydrazino)-1,2,4,5-tetrazine), DIAT (3,6-diazido-1,2,4,5-

tetrazine) and DAAT (3,3-Azobis (6-amino-1,2,4,5-tetrazine) were investigated

theoretically at the level of MP2/6-31G(d,p) level. The reaction coordinates for the

decomposition were drawn and energy profile was built for all three. The decomposition

products of these pyrotechnics are mainly nitrogen gas together with small carbon

containing fragments. The reactants, intermediates, products were computed to be minima

at the potential energy surface, on the other hand, the transition states were located on

saddle points on the corresponding reactions.

KEYWORDS - DHT, DIAT, DAAT, Decomposition, Transition States



A COMPUTATIONAL STUDY ON A SERIES OF PHENANTHRENE AND

PHENANTHROLINE BASED POTENTIAL ORGANIC PHOTOVOLTAICS

SELCUK GUMUS1, AYSEGUL GUMUS2


ABSTRACT

A series of phenanthrene and phenanthroline derivatives were considered computationally

by the application of Density Functional Theory at the B3LYP/6-31++G(d,p) level to

investigate their potential usage as organic solar cell components, thermally activated

delayed fluorescence and nonlinear optic compounds. The structures were constructed as a

D-π-A motif in order to increase the ability to achieve intramolecular charge transfer

enabling them to act as organic semiconductors. The inter-frontier energy gap of all

compounds was found to be in the range of semiconductors. The thermally activated

delayed fluorescence (TADF) properties of the compounds were also discussed in relation

to the results obtained by TD-DFT calculations. Some of them possessed very narrow

triplet-singlet transition energy leading to future TADF applications. Moreover, the

nonlinear optic characteristics of all compounds were investi-gated through calculations of

the total molecular dipole moment (μtot), linear polarizability (αtot) and hy-

perpolarizability (βtot). The results indicate the potential nonlinear optic property of all of

the systems.

KEYWORDS – Phenanthrene, Phenanthroline, TADF, Organic Solar Cells, NLO



BIOMEDICAL INFORMATION TECHNOLOGY IMAGE BASED COMPUTER

AIDED DIAGNOSIS SYSTEMS

EVGIN GOCERI1, CANER SONGUL2


ABSTRACT

Significant progress has been made in the biomedical information technology area in the

last two decades. Especially, advances in image processing techniques and imaging

modalities have increased the accuracy and efficiency of computerized analysis of medical

images such as, computed tomography, ultrasound and magnetic resonance images.

Doctors can interpret these images in a shorter time and make a final decision with greater

confidence using objective results obtained by computer aided diagnosis tools. Computer

aided detection provides fast, robust and reliable detection of lesions, tumors, edges of

tissues or organs and is an initial step in computer aided diagnosis, which was firstly

developed to diagnose breast cancer in 1960s. Currently, computer aided diagnosis is used

to evaluate or diagnose several diseases such as, lung cancer, epilepsy, multiple sclerosis

and parkinson. Therefore, computer aided diagnosis is an important technology that

reduces the burden of doctors. Developments in this area can be classified according to

image modalities and diseases. In this paper, we present recent technologies in image

based computer aided diagnosis systems and discuss future directions in this research area.

KEYWORDS - Computer Aided Diagnosis, Automated Detection, Image Analysis, Image

Processing, Medical Images



THE EXAMINING OF CHANGES IN BASAL GANGLIA AND CEREBELLAR

NETWORKS AT REST IN CHILDREN WITH ATTENTION DEFICIT

HYPERACTIVITY DISORDER

SERIFE GENGEC BENLI1, SEMRA ICER2, SEVGI OZMEN3

1 Erciyes University Faculty Of Engineering Biomedical Eng Dept, Turkey; 2 Erciyes

University Faculty Of Engineering Biomedical Eng Dept, Turkey; 3 Erciyes University

Faculty Of Medicine Child And Adolescent Mental Health And Diseases Dept, Turkey

ABSTRACT

Objective: Attention deficit hyperactivity disorder (ADHD) is the most common

neurobehavioral disorder during childhood[1,2]. The basal ganglia and cerebellum are

major subcortical structures that affects cognition and emotion as well as movement [3].

Current studies have researching individual and group differences in the size of numerous

brain regions between patients with and without ADHD symptoms[4]. In this study, it was

aimed to investigate the changes in the basal ganglia and cerebellar networks in ADHD

using resting state functional MR images. Method: This study was approved by the local

Ethics Committee (Decision no: 2013/689). Twenty right-handed subjects with ADHD

and 20 right handed subjects in typically developmet (TD) group were included. The age

ranges were 9-16 years old for the ADHD group and the TD group. fMRI data were

preprocessed using the Statistical Parametric Mapping (SPM8) software. Preprocessed

time series were analyzed using the Group ICA of fMRI Toolbox performed 30

independent components to identify spatially independent and temporally coherent

networks. Results: Independent components which are detected to represent of basal

ganglia (IC11) and cerebellar networks (IC13) were revealed significantly difference

(p<0.001) for ADHD and TD groups in one-sample t-test results of both two groups. ICA

based analysis of resting state fMRI images revealed the differences of functionally

between the two groups. In summary, increased of functional activity was observed in

basal ganglia and cerebellar networks compared to control in ADHD. Conclusion: The

detection of independent components may help to understand the basis of neurological

disease like ADHD. In this light, our findings of increased basal ganglia and cerebellar

network may reflect brain developmental immaturity in children with ADHD symptoms It

is envisaged that this work will help to understand basis of ADHD with performed other

studies on the role of cerebellar and basal ganglia.

KEYWORDS - Attention Deficit Hyperactivity Disorder, Functional MR, Connectivity

Analysis



PRINCIPAL COMPONENT REGRESSION VIA SHRINKAGE COVARIANCE

MATRICES AND INFORMATION CRITERIA FOR GENE EXPRESSION DATA

SETS

EMRE DUNDER1, SERPIL AYDIN2

1 Ondokuz Mayis University, Turkey; 2 Ondokuz Mayis University, Turkey

ABSTRACT

Gene expression data sets provide excellent knowledge on health informatics area.

Especially gene expression data sets are used for predicting cancer disease. These data sets

are high dimensional inherently so the special algorithms should be implemented.

Principal component regression (PCR) techniques are widely used to overcome high

dimensional classification problems. As is well known, principal component analysis

(PCA) is applied using the covariance matrix of the variables. Classical covariance matrix

estimator becomes ill-conditioned for high dimensional data sets. Shrinkage estimators

emerged as a popular alternative in covariance matrix estimation for ill-conditioned cases.

In this study PCR is implemented with several shrinkage covariance matrices. Information

criteria are used for the comparison of PCR results with applications on gene expression

data sets. The experimental analyses show that the shrinkage matrices give promising

results problems on gene expression classification.

KEYWORDS - Principal Component Regression, Shrinkage Covariance Estimators,

Information Criteria



INVESTIGATION OF PENETRATION BEHAVIORS OF DISPOSABLE

MEDICAL NEEDLES

GULSEN AKDOGAN1, HUSEYIN ALTUG2

1 Erciyes University, Turkey; 2 Erciyes University, Turkey

ABSTRACT

Abstract— Today, different medical needles are used in many diagnostic and treatment

methods such as taking blood from a patient, injecting drugs, taking fluids, vaccination,

insulin needles. The needles should be used only once due to the risk of infection. Medical

needles used in the health field; it is not sharp enough and it is blunt. These features can

cause pain to the patient, cause irritation of the skin, the needle may break inside the body,

the needle may bend, the length of the needle tube may not be sufficient and many

complaints are encountered. For these reasons, the suitability of the needles is important.

Needle tests and investigations have been done to solve the problem. Our main goal in our

work; have been subjected to penetration tests according to their properties in order to

meet less problems during easy advancement / withdrawal of the needles in vessels /

muscles of different types and diameters. The changes in the sinking force of the needle

for different diameters and tip shapes were investigated. Thus, the level of pain the patient

will have can be interpreted. The results obtained by the force applied at a certain speed

with the compression test device were compared. In addition, the amount of microscopic

changes before and after needle penetration was also examined. As a result of these tests,

the sinking behaviors of disposable medical needles, which have a very important place in

the health sector, will be examined and necessary comments will be made.

KEYWORDS - Disposable Medical Needle, Hypodermic Needle, Penetration,

Compression Test, Biomechanics



RECENT TRENDS IN STERILIZATION METHODS OF BIOPOLYMER

BIOMATERIALS

GULSEN AKDOGAN1, MERVE GONCU2

1 Erciyes University, Turkey; 2 Erciyes University, Turkey

ABSTRACT

Sterilization problems of various biopolymers used as biomaterials are still continuing

today. Since biopolymers are not resistant to such effects as high temperature, pressure,

strain, etc., the existing methods are still being used for sterilization while new quests are

ongoing. Due to the different properties of each of the various biopolymers, it is necessary

to investigate and apply the different and optimal solution method for each. Chitosan,

Polylactic Acid (PLA), Poly Lactic Glyco Acid (PLGA) used as cell skeleton in tissue

engineering, silk fibrin used for cell skeleton, bioadhesive plasma and Ultra High

Molecular Weight Polyetylene (UHMWPE ), there is a need for separate sterilization for

each of the different types and properties of biopolymers. Sterilization methods such as

Gamma/Beta/UV irradiation, ethylene oxide, water vapor, plasma (RFGD), CO2,

Peracetic acid / antibiotic solution, autoclave, dry heat are still used. However, if these

methods are not suitable for the material, the chemical and physical structure of the

biopolymer used may be impaired and the plasma properties and density may change. It

has been observed that various methods must be used for the sterilization of various

polymers in different physical states on the basis of the studies made. Despite the fact that

the most common method used in the world is the gamma irradiation method, the negative

effects of gamma rays on the environment, the user and the material are known and new

investigations continue. In the target sterilization method, the material is intended to

remain sterile and to remain unchanged without deteriorating its original properties. For all

these reasons, a search for newer sterilization methods is still needed. Keywords—

Biopolymer Sterilization, Sterilization Problems, Biopolymers, Sterilization, Bio-Polymers

KEYWORDS - Biopolymer Sterilization, Sterilization Problems, Biopolymers,

Sterilization, Bio-polimers



CLUSTERING THE HEALTH CARE SYSTEMS OF EUROPEAN COUNTRIES

VIA DATA MINING ALGORITHMS

MERVE DUNDER1, EMRE DUNDER2, EROL TERZI3

1 Ondokuz Mayis University, Turkey; 2 Ondokuz Mayis University, Turkey; 3 Ondokuz

Mayis University, Turkey

ABSTRACT

The health care system assessment of the countries has been widely studied by researchers.

Data mining algorithms are very useful to evaluate the health care systems conditions of

the countries. We investigated the health care systems of European countries using

clustering analysis techniques. The inference was performed based on the best clustering

result which was determined using clustering indices. All the applications were employed

in R programming language.

KEYWORDS - Clustering Analysis, Health Care Systems, Data Mining, R Project



AGRICULTURAL PRODUCTION PLANNING A CASE STUDY OF ORGANIC

VEGETABLES

HASAN AKYER1, YUSUF SAHIN2

1 Pamukkale Universitesi, Turkey; 2 Mehmet Akif Universitesi, Turkey

ABSTRACT

World population is increasing rapidly day by day, the need for agricultural products

increases. On the other hand, the cultivated areas are decreasing every year. Nowadays,

organic planting become a popular topic in the world. Organic agricultural production

provide healthier food and more environmentally production system. Therefore, the

importance of production planning become a more crucial issue. In Turkey, agricultural

businesses are engaged in small farm lands. Institutionally, farmers decide how much and

which product to produce based on their past experiences. In this study, mathematical

model based production planning optimization approach is proposed for organic

agriculture products. With the help of this model, farmers can plan product diversification

in accordance with their risk level to get higher income.

KEYWORDS - Agriculture Economy, Organic Vegetable Production, Agricultural

Planning



OPTIMIZATION OF RADIATION DOSE IN INTERVENTIONAL RADIOLOGY

SALAM LABIDI1, IMENE HAMMAMI2

1 Higher Institute Of Medical Technologies Of Tunis, Tunisia; 2 Higher Institute Of

Medical Technologies Of Tunis, Tunisia

ABSTRACT

This study aims to evaluatethe contribution of techniques in use: CAREvision,

CAREfilter, CAREprofile and CAREposition during interventional diagnostic and

therapeutic procedures for patient dose reduction and image quality. Wemainly focused on

diagnostic procedures such as phlebography and fistulography, and therapeutic ones such

as biliary drainage (BD), transluminal angioplasty (TLA) and chemoembolization.

Materials and methods: A subset of 37 medium-sized adult patients underwent these

various interventional procedures (10 TLA, 2 BD, 5 chemoembolization, 10 phlebography

and 10 fistulography), from the Vascular Radiology Department of Charles Nicolle

Tunisian Hospital. The interventional procedures were carried out on a fluoroscopically

equipment (AXIOM-ArtisZee, Siemens) using the different CAREtechniques in which

they are implemented. The values of the irradiation dose obtained in our work were

compared with values of the standard protocol used by the manipulators; also the image

quality was subjectively evaluated by radiologists in the service. Results: Results showed

that by combining the different CARE techniques, the obtained values of the DAP(Dose-

Area Product) are equal to 288.97mGy.cm2 and 100.47mGy.cm2 respectively for both

phlebography and fistulography procedures. However, the DAP values of the therapeutic

procedures are 314.38mGy.cm2 for ATL, 2023.46mGy.cm2 for chemo-embolization and

875.57mGy.cm2 for DB. As a result the CARE techniques have reduced the effective

dose. The dose for the diagnostic procedures was reduced by 18% and by 25% for

fistulography and phlebography procedures, successively. In regards tothe therapeutic

procedures, the dose was reduced by 19%, 27% and 28% for the transluminal arterial

angioplasty, chemo-embolization and biliary drainage procedures, respectively. The

subjective assessment of the image quality shows that there are no significant differences

between the opinions of the radiologists. Conclusion: The obtainedresults show that the

use of CARE techniques for the dose reduction task, provided a significant decreaseof the

delivered patienteffective dose while maintaining a non-degraded image qualityand

satisfying the diagnosis and treatment tasks in the fluoroscopically guidedinterventional

procedures.

KEYWORDS - Dose Optimization, CARE Techniques, İnterventional Radiology, İmage

Quality.



CLASSIFICATION OF VOICE DISEASES BASED ON WAVELET ANALYSIS

AND GMM

IMEN HAMMAMI1, LOTFI SALHI2, SALAM LADIDI3

1 High Institute Of Medical Technologies Of Tunisia, Tunisia; 2 High Institute Of Medical

Technologies Of Tunisia, Tunisia; 3 High Institute Of Medical Technologies Of Tunisia,

Tunisia

ABSTRACT

Among several ways of communications, the voice remains the fastest natural tool for

human-to-human and human-to-machine communication. That is why the research in

automatic voice pathology detection and classification area has gained much interest in the

recent years. Indeed, these automatic systems may be considered as assistive tools for the

physicians during the assessment task. This latter may help them to make decision,

whether the input voice signal belongs to a healthy or unhealthy subject and identifies the

nature of pathology. In this context, this paper provides a voice pathology detection and

classification system using wavelet analysis. First, we used the input voice signal that we

taken form Saarbrücken Voice Database (SVD) [1], to extract a set of features. These

feature vectors are fed into a Gaussian Mixture Model (GMM) [2] for the sake of

classification. The given results show that our proposed system of decision outperforms

some state-of-art methods used in voice pathology identification.

KEYWORDS - Pathological Voices, Feature Extraction, Wavelet Analysis, GMM.



BIOMOLECULAR MODELING AND EXAMPLES OF ITS APPLICATIONS

ESMA ERYILMAZ1

1 Selcuk Universitesi, Turkey

ABSTRACT

Molecular modeling has become an important tool for not only many basic fields of

physics, chemistry, and biology, but also for interdisciplinary fields such as biomedical,

biotechnology, bioinformatics, and bioengineering. There are two main reasons for that:

First, experimental results of nuclear magnetic resonance (NMR), X-ray crystallography,

and electron microscopy studies provide a growing library for structural data for proteins.

Second, fast advancing computational techniques, algorithms, and hardwares make more

complex biosystem possible to investigate. Molecular modeling basically consists of

generation, manipulation, or representation of molecular structures for the compounds of

interest. By modeling techniques, one can analyze and interpret experimental data, help

design new experiments, solve problems even before doing experiment. In this

presentation, we introduce biomolecular modeling techniques, tools, software, and main

computational methods to calculate the properties of biomolecules. Using VMD

(Visualization of Molecular Dynamics) software, we explain the concepts by exemplifying

the molecular visualization of structures of some biomolecules.

KEYWORDS - Molecular Modeling, Bioinformatics, Molecular Dynamics, Molecular

Docking, Protein Engineering



IDENTIFICATION OF TISSUES FROM DIFFERENT ORGANS OF A COW

BONE MUSSLE AND LIVER BY FEMTOSECOND LASER MASS

SPECTROMETRY FLMS

YASEMIN GUNDOGDU1, TUGRUL OZCAN2, HAMDI SUKUR KILIC3

1 Selcuk University, Turkey; 2 Bitlis Hizan Devlet Hastahanesi, Turkey; 3 Selcuk

University, Turkey

ABSTRACT

Laser mass spectroscopy technique can be used to identify chemical compounds of

materials which may be in gas, liquid or solid forms and also biological samples. The

characteristic analysis of biological samples is assessed in the opinion of an expert’s

reports carried out under the microscope. However, the greatest advantage of

spectroscopic technique is that it can be performed to obtain more accurate results

independent of the human factor. The computer software allows us to interpret molecular

characteristics. The one of the most powerful techniques for this purpose is Principal

Component Analysis (PCA) which is a statistical technique and widely used in all areas of

multidisciplinary studies. Especially, it can help us to statistically identify isomers of

molecules, which is very common case in chemistry and biology. The main outcome of

this study is the analysis of sevaral tissues taken from several organs obtained from a

butcher. Characteristic properties of tissue samples from meat, lung and bones will be

determined by interpreting data obtained using Femtosecond Laser Mass Spectrometry

(FLMS) and PCA technique.

KEYWORDS - FLMS, Laser, Tissue, PCA



INTRODUCTION OF A NEW INLET SYSTEM DESIGN PRODUCTION AND

APPLICATION TIME OF FLIGHT TOF MASS SPECTROMETRY OF SAMPLES

AT ATMOSPHERIC PRESSURE

HAMDI SUKUR KILIC1, YASEMIN GUNDOGDU2, SERAP YIGIT GEZGIN3

1 Selcuk University, Turkey; 2 Selcuk Universitesi, Turkey; 3 Selcuk Universitesi, Turkey

ABSTRACT

It is very important to investigate atmospheric environmental samples directly introduced

to a TOF system which is operated in high vacuum conditions. We have designed this

unique and novel system to analyze biological samples from living environment as well as

medical diagnosis for some reasons. It is well known from literature that biological

samples can be analyzed using mass spectrometric techniques and it is applications

becoming common use. The characteristics of biological and chemical samples can be

examined by mass spectrometry since this technique gives researcher some unique

analysis opportunities. We have designed and produced a time of flight (TOF) mass

spectrometer (1, 2) and we intend to use it to analyze biological tissues in order to develop

some applications of the system to analyses food and some medical tissues to distinguish

different materials at about atmospheric pressures. In the existing mass spectrometer,

solid, liquid and gaseous samples can be analyzed and liquid and gas phase samples are

introduced to the system through an inlet system effusively while solid samples can be

carried out by placing it on a pusher plate of the ionization and extraction region in mass

spectrometer. In order to introduce samples from atmospheric medium to the high vacuum

region (10-6 mbarr - 10-7 mbarr), it is necessary to eliminate gradually because of there is

a large difference between two regions in pressure. Here, introduction of sample from

atmospheric zone to the high vacuum zones may needs several steps to reduce the pressure

and these steps of the pressure zones and system design are important parameters in the

skimmer. So, we are going to give all details of the system produced in this presentation.

KEYWORDS - Inlet System, Skimmer, High Vacuum, Atmospheric Pressure, Biological

Samples



OPTIMAL WAREHOUSE LOCATION SELECTION MODEL APPLICATIONS

HASAN AKYER1, ZEHRA DURAK2

1 Pamukkale Universitesi, Turkey; 2 Pamukkale Universitesi, Turkey

ABSTRACT

In the world, competition has increased every field. One of them is agricultural sector that

has gained importance in human life. The population of the world is rapidly increasing and

the need for food is also increasing. Therefore, people want to access food sources more

cheaply and efficiently. Transportation costs in agricultural products constitute a

significant proportion of the total cost. For this reason, the problem of warehouse location

is discussed in order to minimize transportation costs in this study. Proposed mathematical

based model is applied agricultural sector.

KEYWORDS - Warehouse Location, Transportation Problem, İnteger Programing



HPVIEWER SENSITIVE AND SPECIFIC GENOTYPING OF HUMAN

PAPILLOMAVIRUS IN METAGENOMIC DNA

LIYING YANG1, YUHAN HAO2, STUART BROWN3, RYAN BRANSKI4, ZHIHENG

PEI5

1 New York University School Of Medicine, United States; 2 Nyu School Of Medicine,

United States; 3 Nyu School Of Medicine, United States; 4 Nyu School Of Medicine,

United States; 5 Nyu School Of Medicine, United States

ABSTRACT

Shotgun DNA sequencing provides sensitive detection of all 182 HPV types in tissue and

body fluid. However, existing computational methods produce false positives and/or

negatives and misidentify HPV types due to shared sequences among HPV, human, and

prokaryotes. We designed HPViewer to improve performance by masking nonspecific

sequences from reference genomes and directly identifying HPV short DNA reads. Using

100,100 simulated samples, we showed that HPViewer was robust for samples containing

either high or low number of HPV reads. Using 12 respiratory papillomatosis samples,

HPViewer was equal to VirusTAP, and Vipie and better than HPVDetector with the

respect to specificity and was the most sensitive method in the detection of HPV types 6

and 11. In 1,573 sets of metagenomic data from 18 human body sites, HPViewer identified

104 types of HPV in a body-site associated pattern. We demonstrated HPViewer was

sensitive and specific for HPV detection in metagenomic data. It can be accessed at

https://github.com/yuhanH/HPViewer/.

KEYWORDS - Software, Human Papıllomavırus, HPViewer, Metagenomics



MOBIL HEALTH TECHNOLOGIES FOR PATIENTS WITH MENTAL ILLNESS

EVGIN GOCERI1, CANER SONGUL2


ABSTRACT

Increasing number of mobile phone users and advances in mobile technologies have

provided the boom in mobile health technologies and tools. Mental illnesses such as

parkinson, multiple sclerosis, schizophrenia, bipolar disorders and depression are common

worldwide and the leading factors for the loss of years of life due to premature mortality

and disability. Also, they cause lost of productivity. Therefore, several smartphone-based

health technologies and systems have been developed for mental health care. Today, there

are more than 10.000 applications to download related with mental health care and they

are increasing daily. Studies in the literature showed that these applications have potential

for monitoring or evaluation of mental illnesses. In this paper, recent advancements in

mobile health technologies for patients with mental illnesses are presented. Also,

advantages and disadvantages of these technologies are discussed.

KEYWORDS - Mental İllness, Health Technologies, Mobil Health Care, Parkinson,

Bipolar Disorders



A LIGHTING WORK WITH ARDUINO

AYKUT BILICI1 , ISMAIL SARITAS2

1 Gaziantep University, Gaziantep/Turkey, [email protected] 2 Selcuk University, Konya/Turkey, [email protected]

ABSTRACT

The increasing demand in electricity consumption shows that energy consumption as

important as its production. This has led to the development of projects on the energy

efficiency, and carry out various investigations in order to use the energy efficiently.There

has been many researches on the efficiency of the lightening from manual switching to the

automatic opening and closing by using motion sensors. Even though microprocessor

systems have begun to be investigated as a trend, it is thought that these studies in which

the adjusted/measured brightness of the environment do not provide sufficient resources.

Unlike other researches in this study, the light intensity of the environment is measured

and the brightness level is adjusted autonomously and the efficiency of the Electric energy

is increased so as to realize the efficiency in the lighting systems at the highest level. In

conclusion, this system ensures that the correct and efficient lighting level by providing

the same brightness in the lighting systems continuously. At this point, a strong view will

be obtained with the system that is produced and business security and low error cost will

be mentioned. Therefore, it is thought that the system will protect eye health and increase

work performance.

KEYWORDS - Arduino, Lighting, Luxmeter



DESIGN OF ISING MODEL SIMULATION

NIGMET KOKLU1, GULENAY AKGOBEK2, ATILLA GULEC3

1Selcuk University, Technical Sciences Vocational High School,

Konya/TURKEY, [email protected] 2 Selcuk University, Department, University Department of Computer Engineering,

Konya, TURKEY, [email protected] 3Selcuk University, Faculty of Science, Department of Physics,

Konya, TURKEY, [email protected]

ABSTRACT

In this study, the Ising model, one of the mathematical models in which phase transitions

are examined is considered in detail. In each direction in which the interactions between

particles are considered identical, a two-dimensional ISING model with n particles are

examined numerically by Monte Carlo calculations under the influence of B external

magnetic field and the average energy and magnetization per particle are calculated. For

the calculations made for N = 100 particles with the assumption of zero external magnetic

field, the Tc critical temperature is found to be 2.30. This simulation is written using the

C# programming language.

KEYWORDS - Monte Carlo Simulation, Metropolis Algorithm, Ising Model, Critical

Temperature



DESIGN AND IMPLEMENTATION OF A METAL PRODUCTION CONTROL

SYSTEM WITH USE OF MICROCONTROLLER

ADEM GOLCUK1, BURAK TEZCAN1, MEHMET BALCI2, SAKIR TASDEMIR1

1Faculty of Technology, Selçuk University / Konya, Turkey,

[email protected], [email protected], [email protected] 2Higher School of Vocational and Technical Sciences, Selçuk University / Konya, Turkey,

[email protected]

Correspoinding Author: [email protected]

ABSTRACT

Computer aided solutions has become indispensable due to effective use of both software

and hardware units. One of the most important units of hardware approaches is

microcontrollers. In today’s industrial practices, microcontrollers are widely used due to

their low cost, small physical size and effective functionality. In this study, a

microcontroller based electronic circuit system has been designed for controlling the

product counting process done by a metal producing machinery. This machinery is

controlled by electronic circuit. Therefore, production control of this machine is done by a

microcontroller circuit. PIC18F4550 microcontroller is used for the designed electronic

circuit system. Microcontroller software is written with the use of Proton Basic

programming language. The operator adjusts the number of products that this machine

must produce via keyboard module designed for this electronic circuit and can monitor the

production process of this machine through LCD display. Products are detected by

inductive sensors and sensor information is read by the microcontroller. If the adjusted

number is the same as the counter value, the operation of machine is stopped. When the

operator gives a new job to the machine, it starts to reproduce. With these control

processes, production can be carried out automatically. In future studies, the designed

circuit can be improved via implementing software parts that are more responsive towards

errors.

KEYWORDS - Microcontroller, Inductive Sensor, Control System, Industry Applications

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