I C A T ' 1 9 · Huse Fatkic, University of Sarajevo, Bosnia And Herzegovina Ibrahim Uyanik, Selcuk...

August 26-30, 2019 Sarajevo, Bosnia and Herzegovina

ABSTRACTS BOOK

ICAT'198TH INTERNATIONAL CONFERENCEON ADVANCED TECHNOLOGIES

w w w . i c a t 2 0 1 9 . c o m

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E-ISBN : 978-605-68537-5-3

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Editors Ismail SARITAS Omer Faruk BAY

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International Conference on

Advanced Technologies

8th International Conference, ICAT’19

Sarajevo, Bosnia and Herzegovina, August 26-30, 2019

Abstracts

Editors

Ismail SARITAS

Omer Faruk BAY

International Conference on Advanced Technologies (ICAT’19) ii

International Conference on Advanced Technologies

8th International Conference, ICAT’19 Sarajevo, Bosnia and Herzegovina, August 26-30, 2019

Abstracts

Editors Ismail SARITAS

Omer Faruk BAY

E-ISBN: 978-605-68537-5-3

www.snbt.com.tr

SN Bilgi Teknolojileri

Kürden Mh. Temizciler Sk. No:5/3 Meram / KONYA Tel: 0.332 323 07 39

August – 2019

iii International Conference on Advanced Technologies (ICAT’19)

EDITORS :

Ismail SARITAS

Selcuk University, Turkey

Depertmant of Electrical-Electronics Engineering, Faculty of Technology

Alaeddin Keykubat Campus 42031 Konya, Turkey

[email protected]

Omer Faruk BAY,

Gazi University, Turkey

Depertmant of Electrical-Electronics Engineering, Faculty of Technology

Teknikokullar, 06500, Ankara, Turkey

e-mail: [email protected]

ASSISTANT EDITORS :

Ilker Ali OZKAN


Depertmant of Computer Engineering, Faculty of Technology


[email protected]

Murat KOKLU


Depertmant of Computer Engineering, Faculty of Technology


[email protected]

International Conference on Advanced Technologies (ICAT’19) iv

PREFACE

8th International Conference on Advanced Technologies (ICAT'19) has been organized in Sarajevo,

Bosnia and Herzegovina on August 26-30, 2019.

The main objective of ICAT'19 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 are 227 paper submissions. Each paper proposal was evaluated by two

reviewers. And finally, 124 papers were be presented at the conference from 17 different countries (Algeria,

Bosnia and Herzegovina, Bulgaria, Czech Republic, France, Japan, Kosovo, Libya, Macedonia, Malaysia,

Palestine, Saudi Arabia, Serbia, South Africa, Turkey, United Arab Emirates, United Kingdom).

In particular we would like to thank Prof. Dr. Mustafa SAHIN, Rector of Selcuk University;

International Journal of Intelligent Systems and Applications in Engineering (IJISAE); International Journal

of Applied Mathematics, Electronics and Computers (IJAMEC); International Journal of Energy

Applications and Technology (IJEAT) and Zenith Group. 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

v International Conference on Advanced Technologies (ICAT’19)

PROGRAMME COMMITTEES

HONORARY CHAIR :

Mustafa Sahin, Rector of Selcuk University, Turkey

GENERAL 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 :

Abdullah Tumer, Necmettin Erbakan University, Turkey

Alexander Sudnitson, Tallinn University of Technology, Estonia

Ali Yazici, Atilim University, Turkey

Ali Kahraman, Necmettin Erbakan University, Turkey


Almoataz Youssef Abdelaziz, Ain Shams University, Egypt

Amar Ramdane Cherif, University of Versailles, France

Anand Kumar, M S Engineering College, India

Anca Loana Andreescu, Academy of Economic Studies, Bulgaria

Angel Smrikarov, Rousse University, Bulgaria

Anne Villems, University of Tartu, Estonia

Antonella Reitano, University of Calabria, Italy

Antonio Mendes, Universidade De Coimbra, Portugal

Artan Luma, South East European University, Macedonia

Asrun Matthiasdottir, Reykjavik University, Iceland

Biagio Lenzitti, University of Palermo, Italy

Binod Kumar, University of Pune, India

Boris Akanaev, Kazak National University, Kazakhstan

Burhan Turksen, Tobb University, Turkey

Cemil Sungur, Selcuk University, Turkey

Cesare Valenti, University of Palermo, Italy

D S Hooda, Jaypee University of Engineering Technology, India

Desislava Paneva Marinova, Bulgarian Academy of Sciences, Bulgaria

Dimitris Dranidis, Sheffield University, Greece

Domenico Tegolo, Universita Degli Studi Di Palermo, Italy

Eisha Akanksha, Mvj College of Engineering, India

Elinda Kajo Mece, Polytechnic University of Tirana, Albania

Esma Eryilmaz, Selcuk University, Turkey

Fecir Duran, Gazi University, Turkey

Gabriel Luna Sandoval, State University of Sonora, Mexico

Gabriel Luna Sandoval, State University of Sonora, Mexico

Halil Ibrahim Koruca, Suleyman Demirel University, Turkey

Heinz Dietrich Wuttke, Ilmenau University of Technology, Germany

Hidayet Oguz, Necmettin Erbakan University, Turkey

Hilda Tellioglu, Vienna University of Technology, Austria

International Conference on Advanced Technologies (ICAT’19) vi

Howard Duncan, Dublin City University, Ireland

Huse Fatkic, University of Sarajevo, Bosnia And Herzegovina

Ibrahim Uyanik, Selcuk University, Turkey


Inan Guler, Gazi University, Turkey

Irina Noninska, Technical University, Bulgaria


Ivan Jelinek, Czech Technical University, Czech Republic

Jan Vom Brocke, University of Liechtenstein, Liechtenstein

Janis Grundspenkis, Riga Technical University, Latvia

Janusz Jablonowski, Warsaw University, Poland

Jiri Srba, Aalborg University, Denmark

Kadir Sabanci, Karamanoglu Mehmetbey University, Turkey

Karl Jones, Liverpool John Moores University, United Kingdom

Laurentiu Cristian Deaconu, University of Pitesti, Romania

Leon Rothkrantz, Delft University of Technology, Netherlands

Levent Aydin, Kocaeli University, Turkey


Luca Lombardi, University of Pavia, Italy

Mahdi Shahbakhti, Michigan Technology University, United States

Majida Ali Abed Meshari, Tikrit University, Iraq

Manik Sharma, Dav University, India

Marco Porta, University of Pavia, Italy

Markus Helfert, Dublin City University, Ireland

Mehmet Cunkas, Selcuk University, Turkey

Mehmet Akif Sahman, Selcuk University, Turkey

Mehmet Rahmi Canal, Gazi University, Turkey

Mehmet Turan Demirci, Selcuk University, Turkey

Michail Antchev, Technical University, Bulgaria

Mirjana Ivanovic, University of Novi Sad, Serbia

Muciz Ozcan, Necmettin Erbakan University, Turkey

Muhammad Zia Ur Rehman, National Defence University, Pakistan

Murat Koklu, Selcuk University, Turkey

Murat Ciniviz, Selcuk University, Turkey

Murat Barut, Nigde University, Turkey

Murat Dorterler, Gazi University, Turkey

Mustafa Sahin, Selcuk University, Turkey

Mustafa Altin, Selcuk University, Turkey

Mustafa Alci, Erciyes University, Turkey

Mustafa Servet Kiran, Konya Technical University, Turkey

Natasa Hoic Bozic, Universityof Rijeka, Croatia

Novruz Allahverdi, Karatay University, Turkey

Omer Faruk Bay, Gazi University, Turkey

Onur Inan, Necmettin Erbakan University, Turkey

Pantha Ghosal, University of Technology Sydney, Australia

Pino Caballero Gil, University of La Laguna, Spain

Polyxeni Arapi, Technical University of Greece, Greece

Raif Bayir, Karabuk University, Turkey

Ridvan Saracoglu, Yuzuncu Yil University, Turkey

Rositsa Doneva, Plovdiv University, Bulgaria

Saadetdin Herdem, Selcuk University, Turkey

Sakir Tasdemir, Selcuk University, Turkey


Simona Silvia Merola, Istituto Motori Cnr, Italy

Stavros Christodoulakis, Technical University of Crete, Greece

Stavros Nikolopoulos, University of Ioannina, Greece

Sumer Sahin, Bahcesehir University, Turkey

vii International Conference on Advanced Technologies (ICAT’19)

Tatjana Dulinskiene, Kaunas University of Technology, Lithuania

Teresa Parra, University of Valladolid, Spain

Thomas Engel, University of Luxembourg, Luxembourg

Valentina Dagiene, Vilnius University, Lithuania

Virginio Cantoni, University of Pavia, Italy

Wladimir Bodrow, Htw University of Applied Sciences Berlin, Germany

Yuri Pavlov, Bulgarian Academy of Sciences, Bulgaria

Zarifa Jabrayilova, Institute of Information Technology Anas, Azerbaijan

Zekai Sen, Istanbul Technical University, Turkey

ORGANIZING COMMITTEE :


Angel Smrikarov, Rousse University, Bulgaria

Cesare Valenti, University of Palermo, Italy

Dimitris Dranidis, Sheffield University, Greece

Domenico Tegolo, Universita Degli Studi Di Palermo, Italy



Janis Grundspenkis, Riga Technical University, Latvia


Marco Porta, University of Pavia, Italy

Murat Koklu, Selcuk University, Turkey

Murat Ciniviz, Selcuk University, Turkey

Mustafa Altin, Selcuk University, Turkey

Omer Faruk Bay, University, Turkey

Sakir Tasdemir, Selcuk University, Turkey


Simona Silvia Merola, Istituto Motori Cnr, Italy

Zekai Sen, Istanbul Technical University, Turkey

TECHNICAL COMMITTEE :

Esra Kaya, Selcuk University, Turkey

Mustafa Buber, Selcuk University, Turkey

International Conference on Advanced Technologies (ICAT’19) viii

CONTENTS

DEVELOPMENT OF GRAPHICAL USER INTERFACE TO CALCULATE THE PARAMETERS OF ULTRASONIC FLOW

METER

MURAT ALPARSLAN GUNGOR, SERKAN DISLITAS ......................................................................................... 1

MODELING OF A REACTIVE DISTILLATION COLUMN WITH ARTIFICIAL NEURAL NETWORKS IN BIODIESEL

PRODUCTION FROM WASTE COOKING OIL

SULEYMAN KARACAN, BUSRA GEDIKASLAN, MEHMET TUNCAY CAGATAY .................................................. 2

MULTIVARIABLE GENERALIZED PREDICTIVE CONTROL FOR BIODIESEL PRODUCTION PROCESS BY

REACTIVE DISTILLATION COLUMN

SULEYMAN KARACAN, MEHMET TUNCAY CAGATAY .................................................................................... 3

FUZZY MEMBERSHIP FUNCTION GENERATION USING CHEBYSHEV'S INEQUALITY AND A NEW APPROACH

ON GENERATING WEIGHTED FUZZY RULES FROM AVAILABLE DATA

CENGIZ COSKUN, ABDULLAH BAYKAL............................................................................................................ 4

A STUDY ON SUPERVISED LEARNING IN AUTONOMOUS DRIVING SYSTEMS

SELCUK YAZAR, DENIZ TASKIN, CEM TASKIN, ILKAY DEMIRALAY .................................................................. 5

CLOUD BASED KNOWLEDGE MANAGEMENT SYSTEM: A REVIEW

AHMAD SHUKRI MOHD NOOR, MUHAMMAD YOUNAS, MUHAMMAD ARSHAD ......................................... 6

IMPROVED SHAPE PREDICTION OF CHINESE YAMS VIA BAYESIAN MODELLING METHODS

KOKI KYO, MITSURU HACHIYA ....................................................................................................................... 7

DETERMINATION OF OPTIMAL PLACEMENT POINT FOR VOLTAGE STABILITY USING SSSC IN POWER

SYSTEM

M. KENAN DOSOGLU, M.UGUR DOGAN, GOKHAN POYRAZ, BAYRAM KUCUK ............................................. 8

THE EFFECTS ON COMBUSTION PARAMETERS OF GASOLINE-ALCOHOL BLENDS IN A SI ENGINE

ILKER ORS, MURAT CINIVIZ, BAHAR SAYIN KUL, AYHAN UYAROGLU, MAHMUT UNALDI ............................. 9

THE EXPERIMENTAL INVESTIGATION OF EFFECTS ON ENGINE PERFORMANCE AND EXHAUST EMISSIONS

OF GASOLINE-METHANOL BLEND AS A SI ENGINE FUEL

MURAT CINIVIZ, ILKER ORS, BAHAR SAYIN KUL, MAHMUT UNALDI, AYHAN UYAROGLU ........................... 10

THE EFFECTS ON PERFORMANCE AND EMISSIONS OF GASOHOL FUEL FOR A SI ENGINE

BAHAR SAYIN KUL, ILKER ORS, MURAT CINIVIZ, MAHMUT UNALDI, AYHAN UYAROGLU, HALIL ERDI

GULCAN, SAVAS YELBEY .............................................................................................................................. 11

DESIGN AND CONTROL OF A PROPOSED MULTI-PROPELLER SYSTEM

SAHIN YILDIRIM, NIHAT CABUK, VELİ BAKIRCIOGLU ................................................................................... 12

THERMAL STRESSES ANALYSIS IN CYLINDER HEAD OF A SPARK IGNITION ENGINE FUELED WITH ETHANOL-

GASOLINE USING ARTIFICIAL NEURAL NETWORKS

SAHIN YILDIRIM ........................................................................................................................................... 13

OPTIMIZATION OF THE MACHINING PARAMETERS IN EDM HARDENED CALDIE TOOL STEEL BY USING

GREY BASED TAGUCHI METHOD

ALI KALYON .................................................................................................................................................. 14

ix International Conference on Advanced Technologies (ICAT’19)

NEURAL-NETWORK BILINEAR GAIN-SCHEDULING CONTROL FOR B747-100 LONGITUDINAL

EZZEDDIN ELARBI, DINA S. LAILA, NADJIM M. H ......................................................................................... 15

REFERENCES TRACKING GAIN SCHEDULING B747-100 CG SHIFT

EZZEDDIN ELARBI, SAAD ISSA, ABDULHAMID A. GHMM............................................................................. 16

TOTAL HARMONIC DISTORTION OF V-SHAPED IPMSM MOTORS BASED ON MAGNET STRUCTURE

ADEM DALCALI, CEMIL OCAK ...................................................................................................................... 17

A COMPARISON IN THD VALUES OF FOUR-POLE BLDC MOTORS WITH DIFFERENT SLOT AND WINDING

ARRANGEMENT

CEMIL OCAK, ADEM DALCALI ...................................................................................................................... 18

EEG-BASED EYE STATE DETECTION USING ARTIFICIAL NEURAL NETWORK

MUSA DOGAN, ILKER ALI OZKAN ................................................................................................................. 19

DATA SECURITY IN INSTITUTIONS AND AN EXAMPLE OF KEYBOARD LOG MANAGEMENT

SAKIR TASDEMIR, EMRE AVUCLU ................................................................................................................ 20

APPLICATION AND TESTING OF ALUMINUM MATERIALS IN RIVET PINS USED IN COMMERCIAL VEHICLE

SLIDING DOOR MECHANISMS IN THE AUTOMOTIVE INDUSTRY

ERHAN AKARCAY, OZLEM ECEM KAPUCUOGLU .......................................................................................... 21

COMPARISON OF MECHANICAL PROPERTIES OF HIGH ELONGATION STEELS AFTER ROLLFORM PROCESS

OZLEM ECEM KAPUCUOGLU, ERHAN AKARCAY .......................................................................................... 22

OPTIMIZATION OF SPEED TRAJECTORY OF A RAIL VEHICLE

YAGMUR ARIKAN, ERTUGRUL CAM ............................................................................................................. 23

AUTISTIC SPECTRUM DISORDER CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TECHNIQUES

MUCAHID MUSTAFA SARITAS, MURAT KOKLU ........................................................................................... 24

HYBRID COATING; FRICTION COATING METHOD WITH GRADIENT COATING

MEHMET ERBIL OZCAN, LATIF OZLER, GUL TOSUN ..................................................................................... 25

EFFECT OF MICRO ARC OXIDATION PARAMETERS ON COATING/INTERFACE BEHAVIOR OF 7075-T6

ALUMINUM ALLOY

MUSTAFA SAFA YILMAZ, GOKHAN OZER, ORHAN SAHIN, AHMET KARAASLAN ......................................... 26

A LITERATURE REVIEW ON TREE-SEED ALGORITHM

MUSTAFA SERVET KIRAN ............................................................................................................................. 27

MATRIX PENCIL METHOD FOR ANTENNA ARRAYS

NILAY AYTAS, ERKAN AFACAN, NIHAT INANC ............................................................................................. 28

FORMALDEHYDE EMISSION BEHAVIOR OF BIO-BASED PHENOLIC RESIN PREPARED FROM PYROLYSIS OIL

ERKAN SAMI KOKTEN, GUNAY OZBAY, NADIR AYRILMIS ............................................................................ 29

DESIGN AND PRODUCTION OF A MULTI-WAVE LOW FREQUENCY VARIABLE MAGNETIC FIELD GENERATOR

FOR HEAT TRANSFER APPLICATIONS

MUTLU TEKIR, HASAN YETIK, EREN SAYGI, KAMIL ARSLAN, ENGIN GEDIK.................................................. 30

MULTIPHASE SEGMENTATION BASED ON DOMINANT FOREGROUND IMAGE FOR MUSHAF AL-QURAN

MOHD SANUSI ............................................................................................................................................. 31

International Conference on Advanced Technologies (ICAT’19) x

A COMPARATIVE ANALYSIS USING VIKOR AND COPRAS APPROACHES TO EVALUATE THE

ENVIRONMENTAL PERFORMANCE OF TURKISH CITIES

BARIS OZKAN, EREN OZCEYLAN, MEHMET KABAK ...................................................................................... 32

A DETECTION SYSTEM FOR LEAKED GAS USING K-NN IN MOBILE ENVIRONMENT

ENGIN ESME ................................................................................................................................................ 33

LINEAR PROGRAMMING MODEL FOR OPTIMIZATION OF A GRID CONNECTED HYBRID ENERGY NETWORK

FOR A PROVINCE

AHMET AKTAS, MEHMET KABAK ................................................................................................................. 34

DESIGN OF INTEGRATED WIDEBAND ANTENNA WITH POLYDIMETHYLSILOXANE (PDMS) FOR MEDICAL

IMAGING APPLICATION

ZAHRILADHA ZAKARIA ................................................................................................................................. 35

DESIGN OF 1X6 ARRAY SUB-MILLIMETERWAVE (SUB-MMWAVE) ANTENNA WITH HIGH GAIN FOR 5G

SMARTPHONE APPLICATIONS

ZAHRILADHA ZAKARIA ................................................................................................................................. 36

CREDIT SCORING AND CLASSIFICATION STUDY FOR BANKING SECTOR WITH BAYESIAN ALGORITHM

ALI TUNC ...................................................................................................................................................... 37

EVALUATION OF SOLAR ENERGY POTENTIAL IN EASTERN BLACK SEA REGION: GIRESUN

SAKIR KUZEY, M. TAHIR GUNESER ............................................................................................................... 38

FERROMAGNETIC NANOFLUID FLOW IN A CIRCULAR PIPE UNDER QUADRUPOLE MAGNETIC FIELD

MUTLU TEKIR, MELTEM YIGIT, ENGIN GEDIK, KAMIL ARSLAN .................................................................... 39

PERFORMANCE ANALYSIS OF TREE SEED ALGORITHM IN HIGH DIMENSIONAL BECHMARK FUNCTIONS

MEHMET BESKIRLI ....................................................................................................................................... 40

DESIGN AND TECHNICAL ANALYSIS OF A PHOTOVOLTAIC DRIP IRRIGATION SYSTEM

SAKIR KUZEY, M. TAHIR GUNESER, BAHADIR ATMACA .............................................................................. 41

RAPID TOOLING APPLICATIONS FOR THE INJECTION MOULDING PROCESS USING LASER SINTERED

ALUMIDE® INSERTS

JACQUES COMBRINCK, JG VAN DER WALT, GJ BOOYSEN, DJ DE BEER ....................................................... 42

PRODUCTION OF NOVEL TRANSLUCENT SILICON NITRIDE CERAMICS

SEMRA KURAMA, OZDEN KISACIK, GIZEM AK, LEVENT KOROGLU .............................................................. 43

SOFT CONTACT LENS TYPE BIOSENSOR FOR CONTINUOUS MEASUREMENT OF TEAR GLUCOSE

KOHJI MITSUBAYASHI, KOJI TOMA, TAKAHIRO ARAKAWA ......................................................................... 44

PHOTOPHYSICAL PROPERTIES OF SOME AMIDE BASED IR(III) COMPLEXES AND THEIR APPLICATION AS AN

EMISSIVE LAYER COMPONENT IN WHITE ORGANIC LIGHT EMITTING DIODES

HALIDE DIKER, CIGDEM SAHIN, SECIL SEVIM UNLUTURK, AHMET BATTAL, CANAN VARLIKLI .................... 45

AN EMPIRICAL EVALUATION OF AGGREGATION TECHNIQUES USED IN GROUP RECOMMENDER SYSTEMS

EMRE YALCIN, ALPER BILGE, AHMET GURKAN YUKSEK .............................................................................. 46

INTELLIGENT CONNECTIVITY: DEMANDS AND NEED FOR 5G NETWORKS FROM TELCO’S PERSPECTIVE

SAMIR ČAUŠEVIĆ, IRENA ŠEREMET ............................................................................................................. 47

xi International Conference on Advanced Technologies (ICAT’19)

FRACTIONAL AND INTEGER ORDER MODELS OF A BALL BALANCING TABLE SYSTEM BASED ON ITS

FREQUENCY DOMAIN RESPONSE

ERHAN YUMUK, MUJDE GUZELKAYA, IBRAHIM EKSIN ................................................................................ 48

HARDNESS OF WORKING ROLLS FOR COLD ROLLING MILL

MIGLENA PANEVA, NIKOLAY STOIMENOV .................................................................................................. 49

AUTOMATIC IMAGE SEGMENTATION USING ST-DBSCAN CLUSTERING ALGORITHM

FATMA OZGE OZKOK, METE CELIK .............................................................................................................. 50

BORON NITRIDE (BN) COATING APPLICATIONS IN MANUFACTURING

BILGIN KAFTANOGLU, TUGCE HACALOGLU ................................................................................................. 51

REMOVAL OF RADIOACTIVE RADON GAS GENERATED FROM URANIUM MINE DISCHARGE WATER

AHMET ERDAL OSMANLIOGLU .................................................................................................................... 52

GROUP CONTROL OF ROBOTS FOR TRANSPORT OF GOODS

MILENA GROUEVA ....................................................................................................................................... 53

IMPACTS OF PRODUCT AND ENERGY EFFICIENCIES ON GLOBAL POLLUTION

TOLUNAY KAYAARASI, NURHAN KAHYAOGLU ............................................................................................ 54

PROTOTYPE AUTONOMOUS VEHICLE DEVELOPMENT ON RASPBERRY PI AND ARDUINO UNO

AYLIN YAZICI, BILGE KAMBEROGLU, DOGUKAN AKSU, MUHAMMED ALI AYDIN ....................................... 55

AN IMAGE GRADIENT OPERATOR VIA DEEP NEURAL NETWORKS

OMER NEZIH GEREK, BURAK BENLIGIRAY ................................................................................................... 56

A STOCHASTIC 2-D MODEL FOR SOLAR RADIATION ASSESSMENT

EMINE ESRA GEREK, FATIH ONUR HOCAOGLU, OMER NEZIH GEREK ......................................................... 57

WET PATCH APPLICATION FOR HYBRID COMPOSITES BY USING VACUUM INFUSION METHOD

SERKAN ERDEM, MUSTAFA GUR, METE ONUR KAMAN .............................................................................. 58

AN AHP METHOD TO EVALUATE SUSTAINABILITY IN ARCHITECTURAL PROJECTS IN HOUSING

CONSTRUCTIONS OF TURKEY

ABDURRAHMAN YAGMUR TOPRAKLI .......................................................................................................... 59

COLLABORATIVE FILTERING RECOMMENDER SYSTEMS: AN APPLICATION

EMIN TALIP DEMIRKIRAN ............................................................................................................................ 60

DEVELOPMENT OF A MULTICRITERIA MATERIAL SELECTION SYSTEM FOR PUBLIC BUILDINGS’ FACADES

BASED ON OPERATIONAL EFFICIENCY IN TURKEY

ABDURRAHMAN YAGMUR TOPRAKLI .......................................................................................................... 61

RESEARCH ON REGION-BASED CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC SEGMENTATION

RIDVAN YAYLA, BAHA SEN ........................................................................................................................... 62

SYNTHESIS AND CHARACTERIZATION OF NEW TIOPHENE/FURANE CORED MOLECULES AS POTENT

UREASE INHIBITORS

NILAY ALTAS, CIGDEM YORUR GORECI ........................................................................................................ 63

AN EXPERIMENTAL STUDY ON THE DYNAMIC PROPERTIES OF A POLYMER-CONCRETE COMPOSITES USED

İN MACHINE TOOLS

International Conference on Advanced Technologies (ICAT’19) xii

MERT AKEL, ALI MURAT SOYAN, EBUBEKIR BUGRA OZARSLAN, ALPER NIZAMOGULU, RECEP AKDENIZ ... 64

NUMERICAL SIMULATION OF FLOW OVER DIFFERENT TYPES OF AIRFOILS

NESLIHAN AYDIN, MEHMET ERMAN CALISKAN, IRFAN KARAGOZ .............................................................. 65

EXERGY ANALYSIS OF SOLAR HYDROGEN PRODUCTION AND LIQUEFACTION PROCESS

EMIN FUAD KENT, TANSEL KOYUN .............................................................................................................. 66

A SEQUENCE CLUSTERING METHOD BASED ON K-MER COMPOSITION OF BIOLOGICAL SEQUENCES

BERAT DOGAN ............................................................................................................................................. 67

DEVELOPMENT OF VISIBLE LIGHT ACTIVE FE2O3/TIO2 NANOSTRUCTURED PHOTOCATALYSTS

BEGUM UZUNBAYIR, EYYUP CAN DOLUEL, UGUR KARTAL, METIN YURDDASKAL, MUSTAFA EROL ........... 68

PREPARATION, CHARACTERIZATION, AND THERMAL PROPERTIES OF POLY(METHYL METHACRYLATE-CO-

2-HYDROXY PROPYL-3-UREA METHACRYLATE-CO-ETHYLENE GLYCOLE DIMETHACRYLATE)/N-

OCTADECANE MICROCAPSULES FOR THERMAL ENERGY STORAGE SYSTEM

DERYA KAHRAMAN DOGUSCU, AYLIN CETIN, CEMIL ALKAN ...................................................................... 69

PREPARATION, CHARACTERIZATION AND THERMAL PROPERTIES OF 1,4-

DISTEAROYLAMIDANTHRAQUINONE AS A NOVEL PHASE CHANGE MATERIAL

ELIF ADIGUZEL, DERYA KAHRAMAN DOGUSCU, CEMIL ALKAN ................................................................... 70

TAILORING THE THIOL-ENE POLYMERIZATION: A QUANTUM CHEMICAL STUDY

ISA DEGIRMENCI .......................................................................................................................................... 71

DESIGN A CONSTITUTIVE FUZZY LOGIC MODEL OF WARPAGE ON SHAPE MEMORY POLYURETHANE PARTS

SUKRAN KATMER, OMER FARUK BAY, CETIN KARATAS .............................................................................. 72

THE GROUP OF TRIANGULAR ROBOTS WITH OMNI-WHEELS AS A SPECIALIZED LOGISTICS SYSTEM

MARIIA ANDREEVA, VLADIMIR PAVLOVSKIY, ELENA KOLESNICHENKO, VLADIMIR (JN) PAVLOVSKIY, IGOR

ORLOV, ALEX PODOPROSVETOV, ANTON ALISEYCHIK ................................................................................ 73

DYNAMIC TIME WARPING BASED FEATURE EXTRACTION FOR CLASSIFICATION OF NEAR INFRARED

SPECTROSCOPY SIGNALS

EDA AKMAN AYDIN ...................................................................................................................................... 74

USE OF BAFFLE BLOCKS FOR WATER POLLUTION REMOVAL

O. FARUK DURSUN, MAHMUT AYDOGDU ................................................................................................... 75

A NEW SUFFICIENT CONDITION FOR STABILITY OF NEURAL NETWORKS OF NEUTRAL-TYPE WITH DISCRETE

DELAYS

RUYA SAMLI, EYLEM YUCEL, SABRI ARIK ..................................................................................................... 76

PERFORMANCE COMPARISON OF THE IEEE 802.15.4 STANDARD (ZIGBEE) TOPOLOGIES

ESRA SOGUT, O. AYHAN ERDEM .................................................................................................................. 77

AN EXPERIMENTAL STUDY ON THERMAL ENERGY STORAGE IN URFA AND BASALT STONES AT CONSTANT

TEMPERATURE CHARGING

YUNUS DEMIRTAS, HUSAMETTIN BULUT, ILHAMI ERCAN .......................................................................... 78

GROWTH OF ZNO-CH NANOSTRUCTURES ON ITO/GLASS SUBSTRATES THROUGH ELECTROCHEMICAL

ANODIZATION FOR BIOSENSOR APPLICATIONS

BERKANT UZUNBAYIR, AHMET AYKAC ........................................................................................................ 79

xiii International Conference on Advanced Technologies (ICAT’19)

EXPERIMENTAL INVESTIGATION OF THE STORAGE OF SOLAR ENERGY IN NATURAL STONES

HUSAMETTIN BULUT, YUNUS DEMIRTAS, ILHAMI ERCAN .......................................................................... 80

FABRICATION OF CALIXARENE NANOFIBERS FOR CONTROLLED RELEASE OF THE DRUGS

ESRA MALTAS CAGIL, OTHMAN HAMEED, FATIH OZCAN............................................................................ 81

INNOVATIVE TECHNOLOGY FOR INCREASING THE EFFICIENCY IN TUBULAR FURNITURE PRODUCTION

MACHINE

PETER PANEV ............................................................................................................................................... 82

HAND EXERCISE APPLICATIONS BASED ON MICROCONTROLLER USING UNITY 3D PLATFORM FOR

PARALYTIC PATIENTS

BUSRA NUR GUNER, BURAKHAN CUBUKCU, RIDVAN YAYLA, UGUR YUZGEC ............................................ 83

PRODUCTION OF HIERARCHICAL GRAPHENE-FOAM/Α-FE2O3/CHITOSAN STRUCTURE FOR BIOSENSOR

APPLICATIONS

FETHULLAH GUNES, AHMET AYKAC, MUSTAFA EROL ................................................................................. 84

RADIOLOGICAL CHARACTERIZATION OF COAL FLY ASH

AHMET ERDAL OSMANLIOGLU .................................................................................................................... 85

PIEZOELECTRIC ACTUATED INSULIN PUMP SIMULATION MODEL AND CONTROLLER DESIGN

ALP KACAR, MEHMET BULENT OZER, YIGIT TASCIOGLU ............................................................................. 86

PRODUCTION AND CHARACTERIZATION OF FE3AL-AL2O3 COMPOSITE MATERIAL BY HIGH TEMPERATURE

VOLUME COMBUSTION SYNTHESIS

NESE OZTURK KORPE, BAHRI CAKMAK ........................................................................................................ 87

AN INVESTIGATION OF SYMBOL ERROR RATE OVER TWDP CHANNELS FOR ADDITIVE LAPLACIAN NOISE

MEHMET BILIM ............................................................................................................................................ 88

ASYMPTOTIC ERROR ANALYSIS OF PHASE SHIFT KEYING MODULATIONS UNDER LAPLACIAN NOISE AND Α-

Κ-µ FADING CONDITIONS

NURI KAPUCU .............................................................................................................................................. 89

COMPARING FRACTURE THEORIES IN ADHESIVELY BONDING JOINTS

YASAR AYAZ, ABDULKERIM ARI ................................................................................................................... 90

AN ALGORITHM TO DETECT THE VITAL SIGNS OF MULTIPLE HUMANS IN THE PRESENCE OF HIGH STATIC

CLUTTERS

ISMAIL SARITAS, YUNUS EMRE ACAR, ERCAN YALDIZ ................................................................................. 91

USING ARTIFICIAL NEURAL NETWORK APPROACH FOR VALUATION OF THE HOUSE

ALI YASAR, ISMAIL SARITAS ......................................................................................................................... 92

EVALUATION OF WAITING TIME AND TRANSPORT COSTS WITH SIMULATION IN URBAN BUS TRANSPORT

EMINE RUMEYSA KOCAER, HALIL İBRAHIM KORUCA, SAMIA CHEHBI-GAMOURA ..................................... 93

COMPARISON OF THE EFFECTS OF DIFFERENT GRAIN REFINING ELEMENTS ON ALUMINIUM BRONZES

FIKRI ERDEM SESEN, TUBA OZEREN, TALIP CITRAK ..................................................................................... 94

EXPERIMENTAL SET-UP TO MEASURE TEMPERATURE EFFECTS ON THE VISCOSITY OF IONIC LIQUID

ABDULCABBAR YAVUZ, A.ROBERT HILLMAN, KARL S.RYDER ...................................................................... 95

ELECTROCHEMICAL BEHAVIOR OF NICKEL FILMS IN DIFFERENT ELECTROLYTE ENVIRONMENTS

International Conference on Advanced Technologies (ICAT’19) xiv

ABDULCABBAR YAVUZ, NAIME OZDEMIR, PERIHAN YILMAZ ERDOGAN, HUSEYIN ZENGIN ....................... 96

AMMONIA EMISSIONS FROM A BROILER HOUSE IN WINTER SEASON

ILKER KILIC ................................................................................................................................................... 97

MODELLING OF ENVIRONMENTAL IMPACTS OF ANIMAL OPERATIONS

ILKER KILIC ................................................................................................................................................... 98

HARDNESS AND ELECTROCHEMICAL CORROSION BEHAVIOR OF HEAT-TREATED HIGH CARBON STEEL

MUSA YILMAZ, KAAN KAPLAN, ABDULCABBAR YAVUZ, NECIP FAZIL YILMAZ, METIN BEDIR ..................... 99

EFFECT OF RASTER ANGLE ON MECHANICAL PROPERTIES OF 3D-PRINTED POLYCARBONATE POLYMERS

NECIP FAZIL YILMAZ, MUSA YILMAZ, OMER EYERCIOOLU ........................................................................ 100

A STUDY ON PRIORITIZATION OF HUMAN-BASED ERROR CAUSES IN PRODUCTION PROCESSES

AYLIN ADEM, METIN DAGDEVIREN ........................................................................................................... 101

MATERIAL SELECTION UNDER HESITANT FUZZY ENVIRONMENT

AYLIN ADEM, ALI COLAK, METIN DAGDEVIREN ......................................................................................... 102

THE EFFECT OF REINFORCEMENT RATIO ON MECHANICAL PROPERTIES OF AL 2024 MATRIX MGO+SIC

REINFORCED HYBRID COMPOSITES

MUHARREM PUL, SUKRAN KATMER ......................................................................................................... 103

PREDICTION ON THE EFFECT OF GASH RAKE ANGLE ON THRUST FORCE AND DRILLING MOMENT BY FUZZY

LOGIC

YAFES CAVUS, SUKRAN KATMER, ISMAIL TEKAUT, SECIL KURT, OMER FARUK BAY,ULVI SEKER .............. 104

A SCALABLE, SECURE AND INTEROPERABLE DESIGN FOR THE INTERNET OF UNDERWATER THINGS

OMER FARUK BAY, ALPER AVCIOGLU ........................................................................................................ 105

AN APPLICATION FOR WEB BROWSER CONTROL WITH VOICE COMMANDS

EMRE AVUCLU, SAKIR TASDEMIR .............................................................................................................. 106

FULLY AUTOMATIC ROI DETECTION FOR BREAST MR IMAGES

SEVDA GUL, FULDEM MUTLU, GOKCEN CETİNEL ...................................................................................... 107

PARKINSON’S DISEASE DETECTION BY USING VOICE RECORDINGS

GOKCEN CETINEL, ALHASAN ALKHATIB, ELIF DAROL ................................................................................ 108

CLASSIFICATION OF WALNUT USING IMAGE PROCESSING AND FUZZY INFERENCE METHOD

ILKER ALI OZKAN, MURAT KOKLU .............................................................................................................. 109

ENVIRONMENTAL SOUND CLASSIFICATION USING AUDIO SIGNAL PROCESSING AND K-NEAREST

NEIGHBOR METHOD

ILKER ALI OZKAN ........................................................................................................................................ 110

COMPARATIVE STUDY ON THE RECYCLING OF MACHINING CHIPS FROM STEEL PARTS AND

STANDARDIZED FIBERS IN THE REINFORCEMENT OF THE CEMENT MATRIX

BOUZEROURA MANSOUR .......................................................................................................................... 111

LINEAR AND NONLINEAR OPTICAL PROPERTIES OF A QUANTUM WELL WITH TRIGONOMETRIC

CONFINEMENT POTENTIAL

FATIH UNGAN ............................................................................................................................................ 112

xv International Conference on Advanced Technologies (ICAT’19)

THE EFFECT OF SOLID LUBRICANTS ON THE TRIBOLOGICAL PROPERTIES OF POLYOXYMETHYLENE

SAMET YALIM, OZGE POLAT, NIHAN OGUTMEN, MERT KAHRAMAN, SALIH HAKAN YETGIN, AGAH

AYGAHOGLU .............................................................................................................................................. 113

NOVEL SMALL MOLECULES FOR ORGANIC SOLAR CELL APPLICATIONS

CIGDEM YORUR GORECI, MEHMET KAZICI, SINEM BOZAR, SINEM NILISAZ, HAMED MOEINI ALISHAH,

SERAP GUNES ............................................................................................................................................ 114

SYNTHESIS, STRUCTURAL CHARACTERIZATION AND ELECTROCHEMICAL PROPERTIES OF A NEW

RUTHENIUM(II) COMPLEX CONTAINING BIPYRIDINE LIGAND

S. DEMET KILINCARSLAN, CIGDEM SAHIN ................................................................................................. 115

INFLUENCE OF PROCESS PARAMETERS IN PRODUCTION OF RESIN FILM ON KEVLAR FABRIC PREPREG

BILJANA KOSTADINOSKA, SVETLANA RISTESKA, BLAGOJA SAMAKOSKI, SAMOIL SAMAK, NIKOLCE

ROMEVSKI .................................................................................................................................................. 116

USE OF INFORMATION TECHNOLOGIES FOR CALCULATION OF MULTI RISK IN THE MUNICIPALITY OF

KNJAZEVAC, SERBIA

MARTINA PETKOVIC, IVAN GAVRANOV, BILJANA NIKOLIC, DRAGAN KNEZEVIC, LIDIJA MILOŠEVIĆ ......... 117

ANALYSIS OF THE FIRE RISK IN THE FLOTATION PLANT

BILJANA NIKOLIC, MARTINA PETKOVIĆ, DRAGAN KNEŽEVIĆ, MARIJOLA BOŽOVIĆ, ,,, .............................. 118

NOVEL TECHNIQUE FOR EMBEDING OF SILVER NANOPARTICLES INTO POLYMERS: POROMISSING

PLATFORMS FOR CATALYSIS

JAKUB SIEGEL, MARKÉTA KAIMLOVÁ, VÁCLAV ŠVORČÍK ........................................................................... 119

SINFOBOT: SPOKEN INFOBOT FOR RESTAURANT SEARCHING

RAMAZAN GOKAY, HULYA YALCIN ............................................................................................................ 120

CNN BASED SMART SECURITY CAMERA APPLICATION ON ARM LINUX

OSMAN DEMIRCI, GOKHAN KAYHAN ........................................................................................................ 121

CLASSIFYING CODE COMMENTS USAGE IN ANDROID APPLICATION DEVELOPMENT

LAMA MUSTAFA SUBLABAN ...................................................................................................................... 122

THE FUTURE OF HEALTH INFORMATICS - GRAND CHALLENGES AND EMERGING TECHNOLOGIES

MUHAMMAD JAWAD HASHIM ................................................................................................................. 123

DESIGN OF A MULTIPURPOSE ENERGY EFFICIENT CONTINUOUS LINEAR LUMINAIRE EQUIPPED WITH

TUNABLE WHITE TECHNOLOGY FOR SUPERMARKET LIGHTING

ERDEM DURUL, CENK YAVUZ .................................................................................................................... 124

1 International Conference on Advanced Technologies (ICAT’19)

DEVELOPMENT OF GRAPHICAL USER INTERFACE TO CALCULATE THE

PARAMETERS OF ULTRASONIC FLOW METER

MURAT ALPARSLAN GUNGORa, SERKAN DISLITASa

aHITIT UNIVERSITY, TURKEY

[email protected]

Abstract:

Today, the flow measurements for the velocity and quantity of fluids transported through circular type

pipes are used in a wide variety of industrial areas. For flow measurement process, the use of ultrasonic

flow meters is rapidly becoming widespread. Thus, there is much interest in the development of the

ultrasonic flow meter. Especially, for transit time ultrasonic flow meter, there are very sensitive results such

as nanosecond, picosecond. In addition, there are more mathematical operations for multipath ultrasonic

flow meters. In this paper, we form a software program to calculate the parameters of ultrasonic flow

meter. Thus, a user can obtain the ultrasonic parameters such as transit time difference (TTD), fluid flow

velocity, flow rate for both single and multipath ultrasonic flow meter by using this program. This program

offers options such as whether to use the temperature. In addition, it permits applying user’s data to obtain

the ultrasonic parameters. The purpose of the study is to collect all parameters on a single platform. The

formed program assures good performance for both researcher and designer.

Keywords: Ultrasonic Flow Meter, Multipath, Software

International Conference on Advanced Technologies (ICAT’19) 2

MODELING OF A REACTIVE DISTILLATION COLUMN WITH ARTIFICIAL

NEURAL NETWORKS IN BIODIESEL PRODUCTION FROM WASTE

COOKING OIL

SULEYMAN KARACANa, BUSRA GEDIKASLANa, MEHMET TUNCAY CAGATAYa

aANKARA UNIVERSITY, TURKEY [email protected]

Abstract:

Biodiesel is a liquid fuel similar to petroleum diesel in combustion properties but is essentially free of sulfur,

making it a cleaner burning fuel than petroleum based diesel. Biodiesel is a promising non-toxic and

biodegradable renewable fuel comprising of mono-alkyl esters of long chain fatty acids, which is produced

by a catalytic trans esterification reaction of vegetable oils with short chain alcohols. It has become an

interesting alternative to diesel, because it has similar properties to the traditional fossil diesel fuel and

may thus substitute diesel fuel with none or very minor engine modifications.

Artificial Neural Network (ANN), a popular modeling tool for processes where nonlinear multivariable

relationships are involved, is also called as black box modeling and its working principle is loosely modeled

on the biological neural network. It is composed of a large number of data processing elements called as

nodes or neurons arranged in layers and interconnected with each other to develop a correlation .

The objective of the present work is to develop models inculcating the effect of operating conditions of

waste cooking oil methyl esters production in the reactive distillation column, namely waste cooking oil

(WCO) flow rate, methanol/WCO molar ratio, reboiler heat duty and feed inlet temperature on the

estimation of parameters like the .biodiesel conversion by using Artificial Neural Networks technique.

Keywords: Biodiesel, Artificial Neural Network, Modeling, Waste Cooking Oil

*


MULTIVARIABLE GENERALIZED PREDICTIVE CONTROL FOR

BIODIESEL PRODUCTION PROCESS BY REACTIVE DISTILLATION

COLUMN

SULEYMAN KARACANa, MEHMET TUNCAY CAGATAYa

aANKARA UNIVERSITY, TURKEY

[email protected]

Abstract:

Most industrial control systems are formed by a significant number of control loops. Usually, large

processes are divided in several subsystems, which are interconnected and influence each other forming

multivariable systems, known also as multiple-input multiple-output (MIMO) systems. The developed

control algorithm is based on a Generalized Predictive Control (GPC) algorithm suitable for multiple-input

multiple-output systems. The most important advantage of the proposed control scheme is the adaptability

of control actions to process disturbances and process interactions. The application of the developed

control system allows us to reduce the amount of messages exchanged between control system agents,

what is beneficial for communication burden. Moreover, event-based approach allows us prioritizing the

selected control variables, paying more attention to important variables (often related to security or costs),

while neglecting the noncritical ones. This is possible through adjusting the sensor deadband value, making

feasible a tradeoff between control effort and control performance. Multivariable Generalized Predictive

Control (MGPC) for Biodiesel production process by reactive distillation column (RDC) was presented. the

reaction section and reboiler section temperatures of the system were controlled using Decoupling GPC.

The feed flow rate and the reboiler heat duty were selected as manipulated variables. The proposed

controller was found to perform satisfactorily for reference tracking and disturbance rejection in RDC.

Keywords: Multivariable Generalized Predictive Control, Reactive Distillation Column, Biodiesel

*


FUZZY MEMBERSHIP FUNCTION GENERATION USING CHEBYSHEV'S

INEQUALITY AND A NEW APPROACH ON GENERATING WEIGHTED

FUZZY RULES FROM AVAILABLE DATA

CENGIZ COSKUNa, ABDULLAH BAYKALa

aDICLE UNIVERSITY, TURKEY

[email protected]

Abstract:

Fuzzy modeling takes its power from the nature of its own underlying concept of human intuition and

logical inference based on fuzzy logic. There are many different inductive approaches on membership

function and fuzzy rule generation using available data. Fuzzy sets and fuzzy rules together constitute the

knowledge base of the fuzzy model to make logical inferences about the output of the system. Standard

deviation is a measure of distribution of data, and Chebyshev’s inequality provides a probabilistic

understanding of the distribution of data around the mean. In this study, a new approach that uses

Chebyshev’s inequality to construct fuzzy membership functions for input variables will be introduced.

Then, a new approach to generate fuzzy rules with weights using available data will be proposed. Finally,

two sample applications using the introduced methods will be mentioned at the end of the study. The

sample applications were realized by using the implementation of the proposed methods with java on

Netbeans platform. Results of the tests show that the proposed algorithm is competitive to the results of

previous studies on same data sets. The idea introduced in this study to induce information from data using

Chebyshev’s inequality might be applicable and may bring new insights in similar fields.

Keywords: Membership Function Generation, Chebyshev Inequality, Fuzzy Rule Generation, Fuzzy Rule

Weight Assignment, Fuzzy Modeling

*


A STUDY ON SUPERVISED LEARNING IN AUTONOMOUS DRIVING

SYSTEMS

SELCUK YAZARa, DENIZ TASKINa, CEM TASKINa, ILKAY DEMIRALAYb

aCOMPUTER ENGINEERING, ENGINEERING FACULTY, TRAKYA UNIVERSITY, TURKEY

bTUNCA VOCATIONAL COLLEGE , TRAKYA UNIVERSITY, TURKEY [email protected]

Abstract:

Autonomous driving and related systems remain an area of increasing interest in today's automobile

industry, and automobiles to be produced in the following decade are expected to provide this technology.

Deep learning techniques, which are primarily used in autonomous driving systems, are becoming

standardized because of the increasing hardware power. In this study, it is briefly discussed whether

supervised artificial learning techniques in autonomous driving applications can be employed in decision-

making mechanisms for vehicles.

Keywords: Deep Learning, Supervised Learning, Autonomous Driving

*


CLOUD BASED KNOWLEDGE MANAGEMENT SYSTEM: A REVIEW

AHMAD SHUKRI MOHD NOORa, MUHAMMAD YOUNASa, MUHAMMAD ARSHADb

aUNIVERSITI MALAYSIA TERENGGANU, MALAYSIA

bJAZAN UNIVERSITY, SAUDI ARABIA

[email protected]

Abstract:

Knowledge Management (KM) is widely discussed by researcher and attracts many enterprisers to extract,

dispense and use information in a systematic way under Knowledge Management System (KMS). New

technology adoption within the knowledge management system is one of the core issue, identified by

researcher and underlined as future research agenda. Cloud computing becomes the most adoptable

choice for enterprisers to reduce infrastructure and maintenance cost by shifting business on the cloud.

Higher Education Institutions (HEIs) are more enthusiastic about knowledge management due to its

primary goal of knowledge creation and sharing. Cloud based knowledge management attract higher

education institutions by changing the educational method and objectives due to innovative trends in

technology. This exploratory research based on literature review for cloud based knowledge management,

targeting the higher education institutions. In this study the review of benefits and challenges of cloud

based knowledge management system will be discussed and suggesting an emerging solution for higher

education institutions.

Keywords: Knowledge Management System, Cloud Computing, Systematic Literature Review

*This study is supported by Universiti Malaysia Terengganu


IMPROVED SHAPE PREDICTION OF CHINESE YAMS VIA BAYESIAN

MODELLING METHODS

KOKI KYOa, MITSURU HACHIYAb

aOBIHIRO UNIVERSITY OF AGRICULTURE AND VETERINARY MEDICINE, JAPAN

bINSTITUTE OF AGRICULTURAL MACHINERY, JAPAN

[email protected]

Abstract:

In developing devices for cutting a Chinese yam into chunks for use as seeds, it is important to measure the

shape of the objective yam using a simple mechanism. In our previous study, we proposed a statistical

approach for predicting the shape of a Chinese yam based on its key diameters. This approach involves

arranging the sample data, estimating the diameters at discrete points on the central axis, and constructing

a predictive model based on the estimated diameters. However, the predictive model was built on separate

regression models for each point, which is potentially unstable. In this paper, we expand our previous

approach by adding a new step that improves the estimates of regression coefficients based on

Bayesian linear modelling methods. Thus, we can estimate the regression coefficients simultaneously,

ensuring better stability in the reconstructed model. The method for locating the key diameters is also

modified. To confirm the performance of the expanded approach, we apply it to a set of samples and

compare the output of the reconstructed model with that of our previous method.

Keywords: Bayesian Linear Modelling Smoothness Priors; State Space Representation

*


DETERMINATION OF OPTIMAL PLACEMENT POINT FOR VOLTAGE

STABILITY USING SSSC IN POWER SYSTEM

M. KENAN DOSOGLUa, M.UGUR DOGANb, GOKHAN POYRAZc, BAYRAM KUCUKa

aDUZCE UNIVERSITY, TURKEY

bBOLU ABANT İZZET BAYSAL UNIVERSITY, TURKEY

cBILECIK SEYH EDEBALI UNIVERSITY, TURKEY [email protected]

Abstract:

Voltage Stability is defined as the relationship between the bus voltage and the maximum load parameter

value depending on the operating condition of the system. The placement of Flexible Alternating Current

Transmission System (FACTS) devices in the appropriate places increases the operating limits of the system

in terms of voltage stability. In this study, the effects of Static Synchronous Series Compensator (SSSC) in

IEEE 14 buses power system were investigated. The voltage and the maximum load parameter relationships

of the SSSC which is connected to different transmission are interpreted. Furthermore, the effects of SSSC

on the bus voltage profile have been investigated. The study on the multi-buses power system was

analyzed in the Power System Analysis Toolbox (PSAT) program. As a result of the study on IEEE 14 buses

power system, the loading parameter value has been increased when the SSSC is connected to all

transmission lines. In particular, it has been observed that the best results are obtained by connecting SSSC

in transmission lines 2-3.

Keywords: Sssc, Voltage Stability, Optimal Placement Point, Psat

*This study is supported by Scientific Research Projects Program of Duzce University


THE EFFECTS ON COMBUSTION PARAMETERS OF GASOLINE-

ALCOHOL BLENDS IN A SI ENGINE

ILKER ORSa, MURAT CINIVIZb, BAHAR SAYIN KULb, AYHAN UYAROGLUa, MAHMUT

UNALDIa

SELCUK UNIVERSITY CIHANBEYLI VOCATIONAL SCHOOL, TURKEY

bSELCUK UNIVERSITY, TURKEY

[email protected]

Abstract:

Alcohols are used in both spark ignition engines and diesel engines as an alternative fuel. Aim of this study

is investigation combustion parameters of ethanol and methanol which most commonly used in internal

combustion engines, for a spark ignition engine. Both methanol and ethanol were added 10% volumetric

within gasoline. Alcohol addition increased maximum cylinder pressure and maximum heat release rate.

But, rise obtained with ethanol is higher than that of methanol. Besides, methanol addition blend has lower

combustion duration due to higher oxygen content.

Keywords: Combustion Parameters, Internal Combustion Engines, Alcohol, Ethanol, Methanol

*Scientific Research Projects Coordination Unit of Selcuk University


THE EXPERIMENTAL INVESTIGATION OF EFFECTS ON ENGINE

PERFORMANCE AND EXHAUST EMISSIONS OF GASOLINE-

METHANOL BLEND AS A SI ENGINE FUEL

MURAT CINIVIZa, ILKER ORSb, BAHAR SAYIN KULa, MAHMUT UNALDIb, AYHAN

UYAROGLUb

aSELCUK UNIVERSITY, TURKEY

bSELCUK UNIVERSITY CIHANBEYLI VOCATIONAL SCHOOL, TURKEY

[email protected]

Abstract:

The reducing of exhaust emissions from road vehicle is one of the most important research subject in

nowadays. In this study, methanol was added 10% volumetric in gasoline for lower exhaust emission values

of a spark ignition engine. According to experimental results, CO and HC emission values were decreased

average approximately 44.9% and 18% respectively. But, methanol addition decreased engine power by

13%, and it increased brake specific fuel consumption by 27% due to its lower calorific value according to

gasoline.

Keywords: Methanol, SI Engine, Engine Performance, Exhaust Emissions

*This study is supported by coordination of scientific research projects of Selcuk University


THE EFFECTS ON PERFORMANCE AND EMISSIONS OF GASOHOL

FUEL FOR A SI ENGINE

BAHAR SAYIN KULa, ILKER ORSb, MURAT CINIVIZa, MAHMUT UNALDIb, AYHAN

UYAROGLUb, HALIL ERDI GULCANa, SAVAS YELBEYa


bSELCUK UNIVERSITY CIHANBEYLI VOCATIONAL SCHOOL, TURKEY

[email protected]

Abstract:

In this study, bioethanol based sugar beet was mixed in 10% as volumetric with gasoline. The blend and

gasoline were used as fuel in a single-cylinder, four-stroke spark ignition engine. The tests were performed

under full engine load and different engine speeds. As results, while bioethanol decreased engine torque

and power by 7.15%, it increased brake specific fuel consumption by 15.22%. According to exhaust

emission results, CO emission values were lower average approximately 25% with bioethanol addition. HC

emission values were decreased average 29% compare to gasoline.

Keywords: Bioethanol, Engine Performance, Exhaust Emission, Gasoline, Spark Ignition Engine

*


DESIGN AND CONTROL OF A PROPOSED MULTI-PROPELLER SYSTEM

SAHIN YILDIRIMa, NIHAT CABUKb, VELİ BAKIRCIOGLUb

aERCIYES UNIVERSITY, TURKEY

bAKSARAY UNIVERSITY, TURKEY

[email protected]

Abstract:

Nowadays, the use of multi-propellers have been increased, because of some basic advantages such as

carrying an object, making video records over the cities and some forests. This paper exposes the

Navigation and Control technology embedded in a recently commercialized micro Unmanned Aerial Vehicle

(UAV), the AR. Drone, which cost and performance are unprecedented among any commercial product for

mass markets. The system relies on state-of-the-art indoor navigation systems combining low-cost inertial

sensors, computer vision techniques, sonar, and accounting for aerodynamics models.

Multi propeller systems begin to design various mechanical systems required for electrical, electronic and

mechanical components of the supply phase. These design updates will be made according to changes

which may occur in mechanical components. Solidworks mechanical design and SolidWorks and MATLAB

program is used to design analysis and simulation programs are used. In smaller sizes to achieve higher

lifting capacity and flight time is eight in the upper section of the engine while the motor is placed on the

lower section of four and 8+4 multikopter model was created.

Keywords: Multicopter, Design, Analyisis, Autonom Systems

*This study is supported by Erciyes University Scientific Research Projects Unit within the scope of FBA-2017-7393

project.


THERMAL STRESSES ANALYSIS IN CYLINDER HEAD OF A SPARK

IGNITION ENGINE FUELED WITH ETHANOL-GASOLINE USING

ARTIFICIAL NEURAL NETWORKS

SAHIN YILDIRIMa


[email protected]

Abstract:

This paper is investigated thermal stresses analysis in cylinder head of a spark ignition engine fueled with

ethanol-gasoline using neural network predictors. The investigation is divided into two stages. First stage;

the thermal stresses in the cylinder head of an internal combustion engine are determined as a function of

the level of temperature. Measuring the temperatures in different parts of the cylinder head, the cooling

can be adjusted or the materials can be improved, or even the properties of the fuels can be improved. The

second step of the study; according to experimental results, some neural network predictors are used

modeling thermal stresses in cylinder head a spark ignition engine. Three types of ANNs are used to

compare each other. From the results, it is noted that the proposed Radial Basis Neural Network gives the

best results for analyzing thermal stresses.

Keywords: Thermal Stresses Analysis, Neural Networks, Cylinder Head of A Spark Ignition Engine

*


OPTIMIZATION OF THE MACHINING PARAMETERS IN EDM

HARDENED CALDIE TOOL STEEL BY USING GREY BASED TAGUCHI

METHOD

ALI KALYONa

aKARABUK UNIVERSITY, TURKEY

[email protected]

Abstract:

In this study, hardened Caldie cold work tool steel was processed in EDM and surface roughness and

material removal rate were examined. The parameters used in experiments were designed by the Taguchi

L18 orthogonal arrays and the obtained results were examined by the grey relational analysis. Copper and

graphite electrodes were used as tool materials. The machining parameters used in the experiments are as

follows: 50, 100 and 200 μsn for pulse duration; 6, 12 and 25 A for discharge current. Pulse off was fixed as

200 μsn for all experiment conditions. As a result of experimental study, it was found that the increase in

pulse duration and discharge current has a negative effect on surface roughness and a positive effect on

material removal rate. After the grey relational analysis, the ideal machining parameter was determined to

be the experiment condition where copper electrode was used including a discharge current of 6A and a

pulse duration of 50 μsn.

Keywords: EDM, Copper, Graphite, Caldie, Grey Relational Analysis

*


NEURAL-NETWORK BILINEAR GAIN-SCHEDULING CONTROL FOR

B747-100 LONGITUDINAL

EZZEDDIN ELARBIa, DINA S. LAILAb, NADJIM M. Hc

aUNIVERSITY OF TRIPOLI, LIBYA

bTHE FUTURES INSTITUTE, COVENTRY UNIVERSITY UNIT 10, COVENTRY INNOVATION VILLAGE

CHEETAH ROAD, COVENTRY, UNITED KINGDOM

cAEROSPACE ENGINEERING, COVENTRY UNIVERSITY PRIORY STREET, COVENTRY, UNITED

KINGDOM [email protected]

Abstract:

A Gaussian radial basis function neural network has been applied to model the longitudinal dynamics of

Boeing 747-100. Bilinear interpolation calibrates the responses to allow for gain scheduled control within

the whole flight envelope. The baseline responses are produced from the simulations based on Linear

Quadratic Regulator of combining elevator and throttle commands at trimmed Mach numbers and

altitudes. The Latin hypercube is employed to uniformly discretize the flight envelope with Mach numbers

ranging from 0.2 to 0.9 and altitudes from 0 to 12190m. The steady state response surfaces of longitudinal

references are achieved based on gains smoothly satisfying closed-loop flying qualities. The elevator and

throttle inputs can be adjusted to maintain the center of gravity within admissible limits over the entire

flight envelope. The pitch trim condition can be auto-throttled for a given static stability margin

corresponding to a center of gravity locations.

Keywords: Boeing 747-100; Elevator-Throttle Coupling; Longitudinal Center Of Gravity; Gain Scheduling;

Mach-Altitude Conditions; Linear Qu

*Thanks to Mobility and Transport Research Centre (MTRC), Coventry University, UK for valuable supportive

consultations.


REFERENCES TRACKING GAIN SCHEDULING B747-100 CG SHIFT

EZZEDDIN ELARBIa, SAAD ISSAa, ABDULHAMID A. GHMMa

aUNIVERSITY OF TRIPOLI, LIBYA

[email protected]

Abstract:

Gain scheduling linear quadratic regulator is proposed for the Boeing 747-100 longitudinal flight. Designing

a feasible control would be embarrassed for Mach numbers and altitudes covering the whole flight

envelope. Instead, a genuine control law is achieved using the gain scheduling spline interpolations to

establish the intermediate trainset responses. The baseline longitudinal responses are obtained at three

sets of Mach number and altitude. Local controllers are scheduled upon wider sets over the flight envelope.

Such a linearized control strategy drives the responses to smoothly steady-state leveled convergences. The

coupled elevator and throttle control competently participates in center of gravity management during

longitudinal flight. The center of gravity shifts has been also correlated with a wide spectrum of Mach

number and altitude.

Keywords: Boeing 747-100; Centre Of Gravity; Gain Scheduling; Longitudinal Responses; Mach-Altitude;

References Tracking

*This research is supported by the University of Tripoli for a conference attendance.


TOTAL HARMONIC DISTORTION OF V-SHAPED IPMSM MOTORS

BASED ON MAGNET STRUCTURE

ADEM DALCALIa, CEMIL OCAKb

aBANDIRMA ONYEDI EYLUL UNIVERSITY, TURKEY

bDEPARTMENT OF ELECTRICAL AND ENERGY, VOCATIONAL COLLEGE OF TECHNICAL SCIENCES,

GAZI UNIVERSITY, TURKEY [email protected]

Abstract:

Studies on electric vehicles which are used as an alternative to fossil fuels have intensified with the increase

of the environmental pollution problem. In recent years, developments in magnet technology accelerated

the development of permanent magnet synchronous motors compared to other electric machines. These

motors are widely preferred in traction applications due to their high efficiency and high torque / weight

ratios. In this study, the THD values of a 100 kW IPM motor with V-shape rotor for electric vehicles has

been investigated. THD values of 100 kW V-shape IPM motors with different magnet geometries that

provide the most suitable designs for maximum power, maximum efficiency/cost ratio, and maximum

efficiency obtained based on finite element method simulations. Considering the results of the study, it is

shown that rotor geometry of design A offers minimum THD comparing to others. In addition, it is

observed that providing the lowest THD value can be another important design criterion along with

efficiency, maximum output power and cost.

Keywords: Electric Vehicle, Total Harmonic Distortion, Interior Magnet, Fem

*This study was supported by Scientific Research Project Unit of the Bandırma Onyedi Eylül University.


A COMPARISON IN THD VALUES OF FOUR-POLE BLDC MOTORS

WITH DIFFERENT SLOT AND WINDING ARRANGEMENT

CEMIL OCAKa, ADEM DALCALIb

aDEPARTMENT OF ELECTRICAL AND ENERGY, VOCATIONAL COLLEGE OF TECHNICAL SCIENCES,

GAZI UNIVERSITY, TURKEY

bELECTRONICS AND COMMUNICATION ENGINEERING, FACULTY OF ENGINEERING AND NATURAL

SCIENCES, BANDIRMA ONYEDI EYLUL UNIVERSITY, TURKEY

[email protected]

Abstract:

The relationship between the number of poles, slots and winding arrangements in BLDC motors, which are

frequently used in many applications today, is quite popular. In this study, a widely used four pole BLDC

motors have been designed with different slot numbers (6, 12 and 15) and winding arrangements. Finite

element method (FEM) has been carried out to analyze the proposed designs. As a result of performed

analyzes, total harmonic distortion (THD) values have been obtained and compared according to the

different slot numbers and winding arrangement given in the study. Thus, the effects of different

slot/winding configurations on the THD values in four-pole BLDC motors have been obtained by computer-

aided simulations. Simulation results and comparisons show that the lowest THD and corresponding

sinusoidal back emf can be obtained by implementing 15 slots within four pole designs. Moreover,

performance values and flux distributions have been examined comparatively by analyzing the motors at

rated conditions.

Keywords: Harmonic Distortion, Brushless DC Motor, Finite Element Analysis, Winding Arrangement

*


EEG-BASED EYE STATE DETECTION USING ARTIFICIAL NEURAL

NETWORK

MUSA DOGANa, ILKER ALI OZKANb

aCOMPUTER ENGINEERING, FACULTY OF TECHNOLOGY, SELCUK UNIVERSITY, TURKEY

bCOMPUTER ENGINEERING, FACULTY OF TECHNOLOGY, SELCUK UNIVERSITY, TURKEY

[email protected]

Abstract:

The human brain produces different electrical signals in the brain during movement, thinking, and so on.

These electrical signals produced in the brain can be received via EEG. Similarly, the eye state can also be

determined using EEG signals. These EEG signals are converted into useful information by artificial

intelligence methods after preprocessing. The eye state data set used in this study consisted of 14 EEG

measurements of 117 seconds. In the data set, the closed state of the eye is set to '1' and the eye's open

state is set to' 0 ‘. In this study, an artificial neural network model (ANN) was developed for the

classification of eye state. In the modeling study with the developed ANN, a accuracy of 95.39% was

obtained for 14-30-1 network structure.

Keywords: EEG, Eye State, Classification, ANN, Modeling

*This study is supported by Scientific Research Projects of Selcuk University


DATA SECURITY IN INSTITUTIONS AND AN EXAMPLE OF KEYBOARD

LOG MANAGEMENT

SAKIR TASDEMIRa, EMRE AVUCLUb


bAKSARAY UNIVERSITY, TURKEY

[email protected]

Abstract:

It may not always be reliable for the institution and its users to access the company data and to engage in

related activities. It is likely that about one out of many large companies systematically monitors the

computer, internet, or email use of its user’s employees. Activities that may damage the reputation of the

company/institution may be carried out, the activities carried out may involve criminal elements or your

data may be tried to be exported. One of the increasing issues in security today is log management. In

many institutions, the logs are only recorded, but no log analysis is performed. What sorts of things can an

organization/company see users do at their computers, and what sorts of computer activities are currently

invisible to workplace monitoring? The importance of log (track record) management in ISO 27001

Information Security (BG) Management Standard is emphasized. As information security violations and

cases increase, the importance and necessity of log management becomes more apparent. In this study;

Information about the importance, benefits and necessity of log management in terms of BG and

monitoring, and how to manage an effective log in the organization. The point of why institutions need to

use log management software has been addressed. In this context, an application developed in C #

environment has been developed which keeps the log of every process that the employee working day by

day and informs the manager by mail.

Keywords: Log Management, Information Security, Security Management, Data Protection.

*


APPLICATION AND TESTING OF ALUMINUM MATERIALS IN RIVET

PINS USED IN COMMERCIAL VEHICLE SLIDING DOOR MECHANISMS

IN THE AUTOMOTIVE INDUSTRY

ERHAN AKARCAYa, OZLEM ECEM KAPUCUOGLUa

aROLLMECH AUTOMOTIVE, TURKEY

[email protected]

Abstract:

Within the scope of lightening operations in the automotive sector, the use of light metals such as

aluminum, magnesium and titanium is expanding. These alloys can provide advantages such as the cost and

machinability of aluminum. In the case of fasteners, information on the presence of aluminum materials

was initiated. In this study, the construction of aluminum material on rivet pins was studied. It was

investigated whether riveting can be used instead of steel material. Pins made of two different materials

are riveted to the sliding door mechanisms. The rigidity of the riveted pins and the results of the riveting

tests were compared.

Keywords: Aluminium, Steel, Mechanism,Rivet,Stiffness

*


COMPARISON OF MECHANICAL PROPERTIES OF HIGH ELONGATION

STEELS AFTER ROLLFORM PROCESS

OZLEM ECEM KAPUCUOGLUa, ERHAN AKARCAYa

aROLLMECH AUTOMOTIVE, TURKEY

[email protected]

Abstract:

Advanced high strength steels, which are developed as output of lightening in the automotive sector, have

been produced. The improved performance of the new generation steel in terms of environment,

durability, quality, fuel efficiency and safety has been effective in the increase of market share. TWIP steel,

which is one of the second-generation steels, provides light weight, produce and high-performance

components using thinner sheet thickness thanks to high strength-ductility combination. In this study, the

mechanical properties of high elongated austenitic stainless steel 304 (X5CrNi18-10), galvanized steel

DX54D + Z and high manganese steel TWIP950 will be compared after rollform. From the cross section of

the rollform process; tensile samples from three different regions; bended, folded and flat. According to

the tensile test results of the prepared samples, the strength and elongation values of the materials in

different forms were compared. The hardness values and microstructure were investigated to see the

effect of the rollform process on the material. Design forms suitable for TWIP material have been

determined.

Keywords: Steel, Twip, Sheet, Elongation,Rollform

*


OPTIMIZATION OF SPEED TRAJECTORY OF A RAIL VEHICLE

YAGMUR ARIKANa, ERTUGRUL CAMa

aKIRIKKALE UNIVERSITY, TURKEY

[email protected]

Abstract:

Today, it is noteworthy to optimize the energy consumption of rail systems that are widely used in public

transport. This paper presents a dynamic model of the driving of a rail system vehicle. This model has been

prepared using in Matlab-Simulink software by taking into account track, vehicle and operational

parameters. The speed trajectory has been optimized with the help of PI control to reduce energy

consumption. When the results of the paper have been examined in terms of both energy consumption and

travel time, the results have been found to be succesful.

Keywords: Rail Systems, Modeling, Energy Consumption, Pı Control

*


AUTISTIC SPECTRUM DISORDER CLASSIFICATION USING ARTIFICIAL

INTELLIGENCE TECHNIQUES

MUCAHID MUSTAFA SARITASa, MURAT KOKLUb

aFACULTY OF TECHNOLOGY ,DEPARTMENT OF BIOMEDICAL ENGINEERING PROGRAM OF

BIOELECTRONICS, TURKEY

bFACULTY OF TECHNOLOGY, DEPARTMENT OF COMPUTER ENGINEERING PROGRAM OF

COMPUTER SOFTWARE, TURKEY

[email protected]

Abstract:

Autistic Spectrum Disorder (ASD) is a neurobiological disorder with delays in mental and social

development and deviations in communication skills. The main features of autism are disorder in social

relations, narrowed interest, repetitive and restricted behavior patterns. While thought to be related to

individual’s upbringing, environmental factors, and past experiences, many approaches nowadays diagnose

it as neurobiological. Communication, mental and social development disorders are necessary for the

diagnosis of ASD; There are common features such as recurring, limiting interests and behaviors. Artificial

intelligence techniques which are used successfully in many areas have been used in the examination of

these properties. A classification study was performed by using artificial intelligence techniques for 3

groups including; adult, adolescent and child with ASD. Support Vector Machine (SVM), Random Forest

(RF), Multilayer Perceptron (MLP), which are frequently preferred among artificial intelligence methods,

were used. Respectively 100%, 100%, 99.658% accuracy for the adult dataset, 89.423%, 100%, 89.423

accuracy for the adolescent dataset and 100%, 90.199%, 100% accuracy for the child dataset. According to

the results obtained, the artificial intelligence techniques used for all datasets were more than 90%

accurate and some of them were 100% successful. These artificial intelligence techniques prove that they

can be a good decision support system that can be used in the field with their high accuracy rates in the

diagnosis of ASD.

Keywords: Autistic Spectrum Disorder (Asd), Classification, Artificial Intelligence Techniques, Random

Forest (Rf), Support Vect

*


HYBRID COATING; FRICTION COATING METHOD WITH GRADIENT

COATING

MEHMET ERBIL OZCANa, LATIF OZLERa, GUL TOSUNa

aFIRAT UNIVERSITY, TURKEY

[email protected]

Abstract:

Coating methods are advanced technology processes using different methods, such as coating the material

made with another material to collect different material properties on a material, changing the chemical

properties of the material. One of the coating methods is the friction coating method. The method is based

on the deposition principle, reaching the plastic deformation temperature as a result of the contact of the

cover shaft rotating around its axis at a given peripheral speed to the material surface.

In this study, the aforementioned friction coating method was combined with the gradient coating to

investigate how to obtain a hybrid coating. In this way, more efficient and desirable features have been

achieved by a short time and operation together with a single hybrid method. The advantage of the

gradient coating method is to provide a combination of mechanical properties such as the desired hardness

and strength from the top layer with the ability to adhere to the desired substrate from the lowest layer by

covering more than one layer. According to this literature research and experiments, a very efficient

coating method has been developed according to other methods, an infrastructure has been established

for future studies and it is aimed to contribute to the literature for the future. As a result, it has been

shown that this hybrid coating can be used and improved, and the results and recommendations for

subsequent studies are discussed.

Keywords: Friction Surfacing, Gradient Coating, Hybrid Method

*This study is supported by The Scientific And Technological Research Council Of Turkey Project number 216M441


EFFECT OF MICRO ARC OXIDATION PARAMETERS ON

COATING/INTERFACE BEHAVIOR OF 7075-T6 ALUMINUM ALLOY

MUSTAFA SAFA YILMAZa, GOKHAN OZERa, ORHAN SAHINb, AHMET KARAASLANc

aFATIH SULTAN MEHMET VAKIF UNIVERSITY, TURKEY

bGEBZE TECHNICAL UNIVERSITY, TURKEY cYILDIZ TECHNICAL UNIVERSITY, TURKEY

[email protected]

Abstract:

Several industries are interested in aluminum and its alloys, especially the 7075-T6 alloy for aerospace-

automotive-millitary, on the other hand its morphological weakness is a problem for usage area. One of the

surface treatment technique called as Micro Arc Oxidation (MAO), that is improved the surface qualities of

aluminum alloys with thick, hard, thermal resistant and corrosion resistant coating. The aim of the this

study was to examine the effect of electrical parameters (cathode voltage, anode/cathode pulse duration,

frequency) on the 7075-T6 alloys. Surface roughness measurement (Ra), coating thickness measurements

(μm), X-Yay Difraction (XRD) techniques and SEM technique were carried out on the coating. The

correlation were investigated between the MAO parameters and coating properties.

Keywords: Aluminum, 7075-T6, Micro Arc Oxidation, Tribology, Coating

*


A LITERATURE REVIEW ON TREE-SEED ALGORITHM

MUSTAFA SERVET KIRANa

aKONYA TECHNICAL UNIVERSITY, TURKEY

[email protected]

Abstract:

Tree-Seed Algorithm, called TSA, is a population-based, nature-inspired and metaheuristic optimization

algorithm. In the algorithm, the artificial agents, trees and seeds, iterate a solution update rule of the basic

algorithm for searching solution space of the optimization problems. In the initialization of algorithm, the

trees are sowed to the surface, and some seeds are generated for each tree at the iterations. The basic

algorithm has one peculiar control parameter and its name is search tendency. By using this parameter, we

try to balance diversification and intensification capability of the basic TSA. Due to its simple but effective

algorithmic structure, it has been applied solve many optimization problems, and some of the studies in the

literature focus on performance improvement of the basic TSA. Moreover, although TSA has been first

proposed for solving continuous optimization problems, the successful discrete variants of TSA has been

developed and published in the literature. The motivation of this study is to introduce TSA and give an

opportunity for the researchers and practitioners by providing insights in terms of TSA modifications and

applications. In this literature review on TSA, we divided the study into three parts: modifications,

applications and versions. In the modifications, the algorithmic improvements on TSA has been abstracted

and in the applications, we present the applications of TSA to the different optimization problems. In the

version part, we present discrete and binary versions of the TSA algorithm.

Keywords: Tree-Seed Algorithm, Modification, Binary, Discrete, Optimization

*


MATRIX PENCIL METHOD FOR ANTENNA ARRAYS

NILAY AYTASa, ERKAN AFACANb, NIHAT INANCa

aKIRIKKALE UNIVERSITY, ENGINEERING FACULTY, DEPARTMENT OF ELECTRICAL AND ELECTRONICS

ENGINEERING, TURKEY

bGAZI UNIVERSITY, ENGINEERING FACULTY, DEPARTMENT OF ELECTRICAL AND ELECTRONICS

ENGINEERING, TURKEY

[email protected]

Abstract:

The Matrix Pencil Method is the method that achieves the complex amplitude and poles with the highest

accuracy by using the data that varies with respect to sine signals for a specified parameter. This method is

used to prevent data complexity and redundancy in most signal processing applications. The synthesis of

the antenna array with the minimum number of antenna elements is very important for the desired beam

pattern. In some applications, such as satellite communication, the weight of the antennas is extremely

limited. The simplification of antenna systems reduces the cost by providing advantages in other

applications. In this study, the use of Matrix Pencil Method in antenna arrays has been emphasized, and

this method has focused on the synthesis of linear antenna arrays with minimal elements.

With the Matrix Pencil Method, the desired beam pattern is first sampled to form a separate pattern data

set and the data in the form of the Hankel matrix is arranged. After these steps, the singular value

decomposition of the matrix is performed. By subtracting the non-baseline values, a smaller dimension of

the Hankel matrix is obtained. In smaller sizes, the matrix actually corresponds to fewer antenna elements.

The matrix pencil method is then used to reconstruct the excitation and position distributions from the

approximate matrix. The results and numerical examples show the effectiveness and advantages of the

Matrix Pencil Method in the synthesis of antenna arrays.

Keywords: Matrix Pencil Method, Antenna Arrays, Signal Processing

*


FORMALDEHYDE EMISSION BEHAVIOR OF BIO-BASED PHENOLIC

RESIN PREPARED FROM PYROLYSIS OIL

ERKAN SAMI KOKTENa, GUNAY OZBAYb, NADIR AYRILMISc

aINDUSTRIAL ENGINEERING, FACULTY OF ENGINEERING, KARABUK UNIVERSITY, TURKEY

bINDUSTRIAL ENGINEERING, FACULTY OF ENGINEERING, AKSARAY UNIVERSITY, TURKEY

cFACULTY OF FORESTRY, İSTANBUL UNIVERSITY, TURKEY [email protected]

Abstract:

Environmental problems related to the consumption of fossil fuels have increased the keen interest in the

development of renewable energy and chemicals. Biomass is one of the renewable energy sources derived

from lignocellulosic materials. In the present study, bio-based resins were synthesized using the bio-oil

produced from vacuum pyrolysis of woody biomass. In the production of bio-based phenolic resins, the bio-

oil was chemically synthesized with phenol and formaldehyde at 10 wt%, 20 wt%, 30 wt%, 40 wt%, and 50

wt% phenol replacement levels under alkali condition. The effects of replacement level of bio-oil to phenol

on the formaldehyde emission of oriented strand board (OSB) bonded with bio-oil phenol-formaldehyde

(BPF) resins were investigated using the perforator method. Results showed that the addition of bio-oil up

to 10 wt% substitution level reduced the formaldehyde emission compared to commercial phenol-

formaldehyde resin. Further increment in the bio-oil content negatively affected the formaldehyde

emission. However, all the BPF resins satisfy requirements for emission standard E1.

Keywords: Biomass, Pyrolysis Oil, Bio-Phenol, Formaldehyde Emission, Phenol Formaldehyde Resin

*This study is supported by The Scientific and Technological Research Council of Turkey (TUBİTAK) [Project grant

number: 115O453]


DESIGN AND PRODUCTION OF A MULTI-WAVE LOW FREQUENCY

VARIABLE MAGNETIC FIELD GENERATOR FOR HEAT TRANSFER

APPLICATIONS

MUTLU TEKIRa, HASAN YETIKb, EREN SAYGIc, KAMIL ARSLANd, ENGIN GEDIKe

aDEPARTMENT OF MEDICAL ENGINEERING, ENGINEERING FACULTY, KARABUK UNIVERSITY,

TURKEY

bCENTER OF RESEARCH FOR ADVANCED TECHNOLOGIES OF INFORMATICS AND INFORMATION

SECURITY (BILGEM) , TURKEY

cYUER AEROSPACE DEFENCE ELECTRONICS LTD., TURKEY dDEPARTMENT OF MECHANICAL ENGINEERING, ENGINEERING FACULTY, KARABUK UNIVERSITY,

TURKEY eDEPARTMENT OF ENERGY SYSTEMS ENGINEERING, TECHNOLOGY FACULTY, KARABUK

UNIVERSITY, TURKEY [email protected]

Abstract:

This paper describes the design and production of a prototype of magnetic field generator for use in heat

transfer applications. A variable-strength and multi-wave Magnetic Field Generator (square, triangle, and

sinus) has been designed whereas it consists of power supply, waveform generator, high power amplifier,

and electromagnet coils. The performance of the system is evaluated by measuring the magnetic field

strength in the center of the coils by gaussmeter. The results meet wanted requirements.

Keywords: Ac, Alternating, Magnetic Field.

*


MULTIPHASE SEGMENTATION BASED ON DOMINANT

FOREGROUND IMAGE FOR MUSHAF AL-QURAN

MOHD SANUSIa

aUNIVERSITI TEKNIKAL MALAYSIA MELAKA, MALAYSIA

[email protected]

Abstract:

The vast number of images of manuscript with their heterogeneity contribute to big data research in the

area. Manuscripts like the Mushaf of al-Quran include ornaments and diacritics together with their main

text. The shape and structure of the ornaments and diacritics in their different variety can show the origin

of the manuscript. However, in digital image processing, ornaments are considered as foreground image

and contribute noises for feature extraction and classification. Thus, the diacritics that exist in Mushaf Al-

Quran cannot be removed because it is vital to enable readers to read it correctly. The ornaments have to

be excluded whereas the diacritics must be remained. This process of removing ornaments and segmenting

line by line requires multiphase segmentation based on physical dominant of the foreground image.

Currently, researches for segmentation for Latin and Arabic based handwritten documents. Unfortunately,

do not involve complicated structures and sensitive documents such as the Mushaf Al-Quran. This research

proposes a multiphase segmentation using dominant foreground to solve the problems. The proposed

method involves four phases: decoration and text, text line, verse and sub-word. Through these phases, the

heterogeneous ornaments will be excluded by identifying the ornaments structure and traversing the

connected foreground pixels of the ornaments. For the text segmentation, neighbour of diacritics will be

populated and computed based on the normality of existence. After the segmentation is performed, the

evaluation of the segmentation output will be evaluated by comparing with original Mushaf.

Keywords: Multiphase Segmentation, Ornaments Extraction, Page Segmentation, Frame Extraction,

Extraction Decoration

*This reserach is supported by Universiti Teknikal Malaysia Melaka(UTeM) for providing a research grants

JURNAL/2019/FTMK/Q00015.


A COMPARATIVE ANALYSIS USING VIKOR AND COPRAS

APPROACHES TO EVALUATE THE ENVIRONMENTAL PERFORMANCE

OF TURKISH CITIES

BARIS OZKANa, EREN OZCEYLANb, MEHMET KABAKc

aDEPARTMENT OF INDUSTRIAL ENGINEERING, ONDOKUZ MAYIS UNIVERSITY, TURKEY

bDEPARTMENT OF INDUSTRIAL ENGINEERING, GAZIANTEP UNIVERSITY, TURKEY

cDEPARTMENT OF INDUSTRIAL ENGINEERING, GAZI UNIVERSITY, TURKEY [email protected]

Abstract:

Sustainable cities are inhabited by people whom are dedicated towards minimization of required inputs of

energy, water, food, waste, air pollution, methane, and water pollution. To achieve a sustainable level for a

city, measurement of related environmental indicators is essential. Thus, evaluation of a city and ranking

among others considering several environmental indicators/criteria can be said as a multi-criteria decision

making (MCDM) problem. In this study, 81 Turkish cities are evaluated regarding to their 17 environmental

indicators such as waste water amount, municipal solid waste amount, number of landfill sites, SO2, PM10

and etc. As a solution approach, two MCDM methods, namely "VIseKriterijumska Optimizacija

KOmpromisno Resenje" (VIKOR) and COmplex PRoportional ASsessment (COPRAS) are applied

comparatively. Consequently, 81 cities are ranked according to their environmental indicators and an

assessment map of cities is created using geographic information system (GIS). It is found that the applied

methods are efficient, and the results are stable. The applied methodology provides also an ability to

analyze the impacts of indicators on environmental performance of each city.

Keywords: Environmental Performance; Evaluation; GIS; Turkey; VIKOR, COPRAS.

*


A DETECTION SYSTEM FOR LEAKED GAS USING K-NN IN MOBILE

ENVIRONMENT

ENGIN ESMEa


[email protected]

Abstract:

This paper focuses on the design and testing of a new smart mobile detection system for the identification

of leaked gas, be it toxic, flammable or solvent vapor. A sensor node is designed to collect the gases in an

environment and the data is processed on a mobile device. There are three key components in the system:

a sensor node, a mobile device and a classifier. The sensor node is used to collect gas data and send it to

the mobile device on a wireless channel. The mobile device is used for monitoring and determining the type

of detected gas simultaneously. The type of leaked gas has been determined by using the k-NN classifier on

the mobile device. In the experiments, a set of data is obtained by the system and this data is classified by

using k-NN, with an accuracy of 96%.

Keywords: Environmental Monitoring, Remote Sensing, Mobile Environments, Real-Time Recognition,

Disaster Planning Management

*


LINEAR PROGRAMMING MODEL FOR OPTIMIZATION OF A GRID

CONNECTED HYBRID ENERGY NETWORK FOR A PROVINCE

AHMET AKTASa, MEHMET KABAKa

aGAZI UNIVERSITY, TURKEY

[email protected]

Abstract:

Energy pricing policies could be country level or regional level depending on various reasons and policy

makers in Turkey in which country level pricing policy is currently used discuss about the positive and

negative effects of both systems. Because of the possibility of transition to regional pricing policies in

energy market in Turkey, design of regional energy networks is needed to be analyzed in detail. Regional

networks with less outer-dependency may reduce energy costs in regions with greater renewable energy

potential. When energy demand satisfaction from renewable resources is not possible, grid-connection

may be considered as a back-up option for the network. These kind of energy systems, a combination of

renewable or/and conventional energy resources, are described as hybrid energy systems. The use of

hybrid energy systems is discovered to be beneficial in sustainably supplying energy from renewable

sources at the end of researches. However, design and operation decisions of hybrid energy systems should

be taken carefully in order to take full advantage of the benefits of these systems. The aim of this study is

to develop a linear programming model that will optimize energy generation and transmission decisions of

an energy network at province size. A numerical example is presented to demonstrate obtained results

from the model. The proposed model would support decisions related to network by considering economic

and technic aspects. Moreover, the obtained results from the model would inspire policy makers to use

analytical approaches in development of energy policies.

Keywords: Hybrid Energy System, Grid Connected System, Energy Network Design, Linear Programming

*


DESIGN OF INTEGRATED WIDEBAND ANTENNA WITH

POLYDIMETHYLSILOXANE (PDMS) FOR MEDICAL IMAGING

APPLICATION

ZAHRILADHA ZAKARIAa

aUNIVERSITI TEKNIKAL MALAYSIA MELAKA (UTEM), MALAYSIA

[email protected]

Abstract:

This paper presents an antenna for the medical imaging application which can detect unusual tissues on

any part of the human body. The direct contact of the antenna with the human body causes the reflected

of the signal due to the high human body coupling. Therefore, a compact design of wideband antenna with

wearable properties is proposed to minimize the effect of high human body coupling. The wideband

antenna is designed by introducing notches to the patch and a t-shaped slot at the partial ground.

Polydimethylsiloxane (PDMS) is introduced to the antenna for the implementation of the wearable antenna

as well as minimizing human body’s effect. The proposed antenna operated at a frequency range of 3GHz

to 6GHz. The antenna that embedded with PDMS shows a good agreement to the antenna without PDMS.

An experimental proposed structure shows a good agreement with the simulated results. The overall

dimension of the antenna is 24mm(W) x 38mm(L) which consider is a miniature antenna. This proposed

design provides an alternative solution for the antenna which cannot be wear on the body and protect the

antenna. The introduction of PDMS will reduce the signal reflection cause by the high coupling of the

human body.

Keywords: Wideband Antenna, Mirowave Imaging

*This study is supported by Universiti Teknikal Malaysia Melaka (UTeM)


DESIGN OF 1X6 ARRAY SUB-MILLIMETERWAVE (SUB-MMWAVE)

ANTENNA WITH HIGH GAIN FOR 5G SMARTPHONE APPLICATIONS

ZAHRILADHA ZAKARIAa

aUNIVERSITI TEKNIKAL MALAYSIA MELAKA (UTEM), MALAYSIA

[email protected]

Abstract:

The growing demand of high data transmitted rate has promoted the development of 5G technology where

the frequency range started from 24GHz. The high frequency range in 5G technology will result in signal

attenuation due to oxygen molecules absorption, commonly known as free space path loss. To overcome

the free space path loss of 5G wave front, an antenna that can transmit and receive in 5G frequency range

with higher gain is the needed. Therefore, this paper presents the design and analysis of a 1x6 array

antenna that capable in providing high gain and 360⁰ coverage for 5G mobile applications. Computer

Simulated Technology (CST) software is used during the design and simulation phase while a substrate

based on Rogers RT5880 is applied for manufacturing the antenna. The antenna design is built from 4

arrays which each array consists of 6 antenna elements that arrange in 4 different direction to produce

360⁰ coverage. The simulation results show that the frequency covers from 23.97 - 27.95 GHz with

maximum gain up to 15.53 dB while measurement results show frequency range of 25.08 – 29.40 GHz

which is a promising band for future 5G based smartphone applications.

Keywords: 5G, High Gain Antenna

*This study is supported by Universiti Teknikal Malaysia Melaka (UTeM)


CREDIT SCORING AND CLASSIFICATION STUDY FOR BANKING

SECTOR WITH BAYESIAN ALGORITHM

ALI TUNCa

aKUVEYT TURK KATILIM BANKASI, TURKEY

[email protected]

Abstract:

Credit scoring systems, usually called credit rating systems, consist of collecting the data of the customer

according to predetermined credit factors, processing the obtained data with various statistics or machine

learning techniques, and making the final credit decision by establishing credit risk. In this study, the data

consisting of variable clusters of the customer were processed by machine learning techniques, and the

customer's credit value was tried to be determined. In addition to old customers, the credit status of new

customers should also be determined. When there are not too many financial activities of new customers,

when this customer's business and scorecard needs to be created, statistical results are necessary

according to the existing records.

In this study, a study was conducted using a Bayesian Algorithm with data obtained from a private financial

institution. The focus was on the classification problem with Bayesian Algorithm. Bayesian algorithm

method is used for classification. In this way, data consisting of variable clusters of the customer are

processed by machine learning and statistical technique. Then, the customer's credit scoring value was

tried to be determined. With the recommended method, applications are made with a certain number of

iterations, and the success rate and the performance of the plan are presented in real time. According to

this information finding the desicion, can will be given credit to the customer or cannot be issued.

According to the information obtained, the credibility of the customers was decided.

Keywords: Credit Scoring, Bayesian Algorithm, Classification, Machine Learning, Data Mining

*This study is supported by Tubitak TEYDEB Program of Kuveyt Türk Participation Bank


EVALUATION OF SOLAR ENERGY POTENTIAL IN EASTERN BLACK SEA

REGION: GIRESUN

SAKIR KUZEYa, M. TAHIR GUNESERb

aGIRESUN UNIVERSITY, TURKEY

bKARABUK UNIVERSITY, TURKEY

[email protected]

Abstract:

In this study, the potential regions for solar energy use in the Eastern Black Sea Region were determined

based on Turkey Solar Energy Potential Atlas (GEPA) and the solar energy system simulation to supply

energy consumption of Giresun University Sebinkarahisar Campus was made by Photovoltaic System Study

(PVsyst) software. The supply of energy demand from Solar sources is also of importance in terms of

revealing the solar energy potential of the region and raising awareness in the public. Annual consumption

of Sebinkarahisar Campus was measured as 370 MWh. An increase of the consumption is assumed as 16%

because of new enrollments to new programs next years. A Solar Power Plant (SPP) was designed to supply

this consumption. The assumption of the production was calculated as 426.5 MWh with a performance rate

of 84.47% thanks to 1152 pieces of poly-crystalline Solar Photovoltaic (PV) Panels with 270 Wp power on

4000 m2 of land. The optimization of the tilt and azimuth angles were calculated as 25.70 and -12.90,

respectively and it increased the annual energy the performance rate to increased to 428.1 MWh and

84.55%. The time to cover the installation cost of the system was calculated as approximately 75 months.

Compared to traditional sources, the system will prevent 4473.081 tons of carbon dioxide (CO2) emissions

along 25 years.

Keywords: Solar Energy, Pvsyst Software, Photovoltaic, Performance Ratio, CO2 Emission

*


FERROMAGNETIC NANOFLUID FLOW IN A CIRCULAR PIPE UNDER

QUADRUPOLE MAGNETIC FIELD

MUTLU TEKIRa, MELTEM YIGITb, ENGIN GEDIKc, KAMIL ARSLANc

aMEDICAL ENGINEERING, ENGINEERING FACULTY, KARABUK UNIVERSITY

bMECHANICAL ENGINEERING, ENGINEERING FACULTY, KARABUK UNIVERSITY

cENERGY SYSTEMS ENGINEERING, TECHNOLOGY FACULTY, KARABUK UNIVERSITY cMECHANICAL ENGINEERING, ENGINEERING FACULTY, KARABUK UNIVERSITY

[email protected]

Abstract:

This study investigates the performance of water based Fe3O4 nanofluid under quadrupole magnetic field

using two-phase mixture method. Investigations are performed under laminar flow regime and with

uniform heat flux from the walls. The aim is to study the effect of magnetic field on convective heat

transfer of nanofluid. To validate the numerical results of nanofluid flow, experimental data is used. With

the use of magnetic field, convective heat transfers enhance up to 30% comparing nanofluid flow without

the use of magnetic field.

Keywords: Mhd, Nanofluid, Quadrupole Magnetic Field, Multiphase, Convective Heat Transfer.

*The authors would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) for providing

the financia


PERFORMANCE ANALYSIS OF TREE SEED ALGORITHM IN HIGH

DIMENSIONAL BECHMARK FUNCTIONS

MEHMET BESKIRLIa

aDEPARTMENT OF COMPUTER ENGINEERING, SIRNAK UNIVERSITY, TURKEY

[email protected]

Abstract:

Optimization is defined as achieving the best possible end-of-the-way by using the best available facilities.

The optimization method is realized by using meta-heuristic algorithms. In this study, tree seed algorithm

with tree seed algorithm was used for five different test functions. The problem was taken as 1000, and

population numbers were accepted as 10, 20, 30, 40 and 50, respectively. The parameter value of the

algorithm was 0.1, 0.5 and 0.9, and parameter optimization was performed. The algorithms were run in the

MATLAB program under the same conditions. When the obtained results were examined, it was seen that

the improved tree seed algorithm obtained a better result than the original tree seed algorithm. When the

results of the algorithms were examined in terms of time, it was observed that the working times of the

two algorithms were close to each other. For the best values, Wilcoxon (p-value) test analysis of functions

was performed. From a statistical point of view, it has been concluded that there is a significant difference

between the original tree seed algorithm and the original.

Keywords: Tree Seed Algorithm, Optimization, Test Functions

*This study is supported by the Scientific Projects Coordinatorship of Sırnak University (Project number:

2019.FNAP.06.01.01)


DESIGN AND TECHNICAL ANALYSIS OF A PHOTOVOLTAIC DRIP

IRRIGATION SYSTEM

SAKIR KUZEYa, M. TAHIR GUNESERb, BAHADIR ATMACAa

aGIRESUN UNIVERSITY

bKARABUK UNIVERSITY

[email protected]

Abstract:

Due to the reduction of fossil fuel reserves and environmental hazards, alternative energy sources increase

effectively as a source of energy production. Nowadays, where resource efficiency is very important, and

the decrease of drinking water and agricultural water resources forces the drip irrigation systems in

agricultural irrigation. Solar Photovoltaic Water Pumping System (SPVWPS) are promising on the soils,

where off-grid or far away from the grid and power failure occurs frequently.

In this study, irrigation and growing characteristics of several livelihood crop in the province of Sanliurfa

Siverek from Turkey and climate data obtained from Climwat 2.0 software were analyzed by Cropwat 8.0

software. Annual and daily water demand were calculated for irrigation in four days. The calculation was

designed considering the data of highest demanding crop to be able to supply all types of crops. Latter, the

result was used to design an off-grid Solar Power Plant (SPP) for irrigation. Demanded power and energy to

pump up 31 m3 of water from the depth of 80-100 m. were calculated and the SPP was designed consisting

of 24 pieces of poly-crystalline Solar Photovoltaic (PV) Panels with 250 Wp power on PVsyst 6.7.9 software.

Productivity analysis, system analysis and pumping analysis was conducted, and the system efficiency and

pumping efficiency was obtained % 52.3 and % 52.6 respectively.

Keywords: Climwat Software, Cropwat Software, Photovoltaic Drip Irrigation System, Pvsyst Software, Solar

Energy

*


RAPID TOOLING APPLICATIONS FOR THE INJECTION MOULDING

PROCESS USING LASER SINTERED ALUMIDE® INSERTS

JACQUES COMBRINCKa, JG VAN DER WALTa, GJ BOOYSENa, DJ DE BEERa

aCENTRAL UNIVERSITY OF TECHNOLOGY, FREE STATE, SOUTH AFRICA

[email protected]

Abstract:

In today’s technology-driven marketplace, new products are essential for the survival of a company. Almost

every product consists of some if not all plastic components, mostly produced by the plastic injection

moulding (IM) process. Due to the high cost and lead times of conventional tooling, most new product

developments never realise because they are too risky to manufacture. Rapid Tooling (RT) techniques are

able to reduce the time and cost of product development and manufacture products in the correct material

during the product approval stage, for example when the product must undergo clinical trials. In this study,

a new approach is proposed using laser sintered Alumide® inserts, to investigate the benefits of RT for

limited run production. Through simulation software temperature distributions inside the Alumide® inserts

were used to identify possible hotspots, which can reduce the useful lifespan of the inserts. Scan results of

the inserts after actual IM trials were used to determine the wear of the Alumide® inserts. The results

obtained showed that about 400 parts can be manufactured within allowable tolerances and 2500 parts

could be manufactured using Alumide® inserts. From manufacturing time and cost comparisons of inserts

produced through different manufacturing processes, it was evident that it is more economical to use

Alumide® inserts to manufacture a few to two hundred parts in IM applications. If the required quantities

of the parts to be manufactured increase, it will become more cost-effective to use inserts manufactured

through conventional manufacturing processes.

Keywords: Injection Moulding, Rapid Tooling, Laser Sintered Inserts

*This study is supported by the Department of Science and Technology through the Collaborative Program in Additive

Manufacturing


PRODUCTION OF NOVEL TRANSLUCENT SILICON NITRIDE CERAMICS

SEMRA KURAMAa, OZDEN KISACIKa, GIZEM AKa, LEVENT KOROGLUa

aESKISEHIR TECHNICAL UNIVERSITY, DEPARTMENT OF MATERIALS SCIENCE AND ENGINEERING,

TURKEY

[email protected]

Abstract:

Advanced technology ceramics can be used both functional and structural in areas where metals and

plastics fail due to their superior mechanical and thermal properties. Si3N4, an advanced technology

ceramic, provides advantages in terms of its properties such as high oxidation resistance, abrasion

resistance, hardness and high-temperature resistance, not only in structural ceramic applications but also

in functional application areas. Conventionally optically transparent materials (glasses, polymers and alkali

hydrides) have relatively poor mechanical strength and sometimes poor chemical and physical stability. As

a result, there is a rapidly increasing demand for the development of new transparent materials that can be

used for applications requiring high strength and chemical stability at high temperatures. Si3N4 ceramics,

on the other hand, have been able to fill this demand by replacing glass and mono-crystals due to their

flexibility in manufacturing and processing. In this study, Si3N4 ceramics were produced using different

types of additives. Dy2O3, Y2O3 and Eu2O3 were used as an alternative additive to show effect of dopants

on microstructure and optical properties. Si3N4 powders were mixed using different amount of them.

After, milling of powders in high energy ball milling system for 5hrs. Dried powder was sintered by spark

plasma sintering system at different temperatures (1800-1700°C). Sintered samples were grinded by SiC

disc to decrease of thickness. Optical analyses results showed that Y2O3 doped samples have the best

translucency than others. Results of experimental researches showed that amount and type of additive

have an important effect on translucent properties of Si3N4.

Keywords: Translucency, Si3N4, Optical Properties, Grain Boundary

*This project is funded by TUBITAK 2209A-National/International Research Projects Fellowship Program for

Undergraduate Student.


SOFT CONTACT LENS TYPE BIOSENSOR FOR CONTINUOUS

MEASUREMENT OF TEAR GLUCOSE

KOHJI MITSUBAYASHIa, KOJI TOMAa, TAKAHIRO ARAKAWAa

aTOKYO MEDICAL AND DENTAL UNIVERSITY, JAPAN

[email protected]

Abstract:

In this paper, a soft contact lens type glucose sensor using biocompatible polymers was fabricated and

evaluated. The biosensor was designed for continuous glucose monitoring in tear fluids. In order to achieve

flexibility and biocompatibility, the biosensor utilizes hydrophilic 2-methacryloyloxyethyl phosphorylcholine

(MPC) copolymerized with 2-ethylhexyl methacrylate (EHMA). Owing to the flexible laminar structure of

PDMS and poly(MPC-co-PMEH) (PMEH), the sensor fits the rounded shape of human body and has good

biocompatibility. The sensor measures the glucose concentration as a current change induced by enzyme

reaction at the GOD immobilized PMEH layer. In the MEMS fabrication process, electrodes were formed on

PDMS substrate using ion beam sputtering method with lift-off process. Then, it was coated with PMEH and

GOD was immobilized on the sensing region of the electrodes by coating a mixture of PMEH solution and

enzyme.

The sensor showed linearity in glucose level of 0.05 – 3.00 mmol/l with a correlation coefficient of 0.998.

The calibration range includes the reported concentration of tear glucose in normal human subject (0.14

mmol/l). The sensor also showed high flexibility and was soft and comfort to the touch. The sensor was

attached on the rabbit eye as mentioned before and tear glucose level of the rabbit eye was monitored

continuously. The average value of tear glucose level was 0.11 mmol/l. Those glucose concentrations in

tear fluids were estimated from the calibration plots.

Keywords: Biosensor, Contact Lens, Tear Glucose, Diabetes

*


PHOTOPHYSICAL PROPERTIES OF SOME AMIDE BASED IR(III)

COMPLEXES AND THEIR APPLICATION AS AN EMISSIVE LAYER

COMPONENT IN WHITE ORGANIC LIGHT EMITTING DIODES

HALIDE DIKERa, CIGDEM SAHINb, SECIL SEVIM UNLUTURKa, AHMET BATTALc,

CANAN VARLIKLIa

aIZMIR INSTITUTE OF TECHNOLOGY, DEPARTMENT OF PHOTONICS, IZMIR, TURKEY

bPAMUKKALE UNIVERSITY, ART&SCIENCE FACULTY, DEPARTMENT OF CHEMISTRY, DENIZLI,

TURKEY

cMUS ALPARSLAN UNIVERSITY, FACULTY OF EDUCATION, MUS, TURKEY [email protected]

Abstract:

Organic light emitting diodes (OLEDs) have attracted great attention with their low cost, low power

consumption and high-resolution [1,2]. In recent years, OLEDs producing white light have been studied for

displays and solid state lighting applications, especially due to their easier fabrication processes compared

to LEDs. In this study, we present the photophysical properties of some previously reported amide based

Ir(III) complexes and their application as an emissive layer component in WOLEDs (Figure 1). Amide based

Ir(III) complexes with high quantum yields were doped in PVK:OXD-7 matrix with different doping amount

(0.10, 0.20, 0.35, 0.50 and 1.00; wt%) to investigate the electroluminescence (EL) behaviors of them. The

results show that for the lowest doping amount (0.10%, wt), IrPro and IrBenz had the white light emission

with CIE coordinates of (0.32, 0.38) and (0.29,0.34) respectively that are close to those of pure white light

(0.33,0.33), while Ir(EtPh) represented cold white light emission with CIE coordinates of (0.26,0.28). Further

increase in the doping amount of complexes resulted with yellow emission from all devices.

Keywords: Iridium Complex, Bipyridine, Organic Light Emitting Diodes

*


AN EMPIRICAL EVALUATION OF AGGREGATION TECHNIQUES USED

IN GROUP RECOMMENDER SYSTEMS

EMRE YALCINa, ALPER BILGEb, AHMET GURKAN YUKSEKa

aDEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, SIVAS CUMHURIYET

UNIVERSITY, TURKEY

bDEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, ESKISEHIR TECHNICAL

UNIVERSITY, TURKEY

[email protected]

Abstract:

The main goal of the group recommender systems is to provide commonly appropriate products/services

for members of a group. Various aggregation techniques have been proposed for combining individual

preferences and estimating recommendations for the group. Such techniques generally produce

recommendations based on counts of ratings, rankings, deviation, and rating averages. Also, the size of the

groups and the recommendation list are essential elements that directly influence the performance of the

aggregation techniques, hence they should be considered when selecting the aggregation technique to be

used in a group recommender system. In this study, the effectiveness of 11 baseline aggregation

techniques regarding both different group sizes and recommendation lists is deeply analyzed. During the

experimental processes, the groups are constructed using the k-means clustering algorithm, which helps

clustering people with similar interests together. Experimental studies demonstrate that three aggregation

techniques are successful mostly when recommending a small number of items. However, they get

reasonably hurt with a larger number of recommendations. Also, the specificity of the groups is a crucial

factor for aggregation techniques to better model group profiles, and they are more successful in small

groups of people.

Keywords: Group Recommender Systems, Aggregation Techniques, Group Size, Recommendation List

*This study is supported by the Research Fund of Sivas Cumhuriyet University, Project Number: M-759


INTELLIGENT CONNECTIVITY: DEMANDS AND NEED FOR 5G

NETWORKS FROM TELCO’S PERSPECTIVE

SAMIR ČAUŠEVIĆa, IRENA ŠEREMETa

aFAKULTET ZA SAOBRAĆAJ I KOMUNIKACIJE, BOSNIA AND HERZEGOVINA

[email protected]

Abstract:

5G networks will change the world of data transfer services and connectivity devices. It will provide delay-

critical and ultra-reliable, secure and dependable services to billions of smart objects and cyber physical

systems, such as cars, robots and drones. In this paper we examine intelligent connectivity demands related

to latency, bandwidth, security and other parameters, emphasizing need for 5G networks. We also discuss

needed changes that network operators have to implement in networks in order to support intelligent

connectivity development. In RAN part, different base stations, types of cells, technique of access and

frequency band should be used. Backbone and core networks will have to go in the direction of

virtualization, network programmability, cloud-native principles etc.

Keywords: 5G, Intelligent Connectivity, Telco

*


FRACTIONAL AND INTEGER ORDER MODELS OF A BALL BALANCING

TABLE SYSTEM BASED ON ITS FREQUENCY DOMAIN RESPONSE

ERHAN YUMUKa, MUJDE GUZELKAYAa, IBRAHIM EKSINa

aISTANBUL TECHNICAL UNIVERSITY, TURKEY

[email protected]

Abstract:

In this study, the system identification of a ball balancing table in a single input-single output configuration

is done based on frequency domain response. Since the ball balancing table owns an intrinsic instability, the

system is transformed into a closed loop form using a controller mechanism. The closed loop system is

excited by sinusoidal inputs with various frequencies and its frequency response characteristics are

obtained. Three well-known identification methods are utilized for the integer and fractional order system

model construction. The model of the ball balancing table is extracted from the identified closed system

transfer function. It is observed that the best model that represents the ball balancing table system is the

fractional order model obtained using Vinagre’s identification method.

Keywords: Fractional Models, Integer Models, System Identification, Frequency Response, Ball Balancing

Table

*This study is supported by Istanbul Technical University Research Support Program (ITU-BAP) (Project Code: MDK-

2018-41344)


HARDNESS OF WORKING ROLLS FOR COLD ROLLING MILL

MIGLENA PANEVAa, NIKOLAY STOIMENOVa

aINSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES -BAS, BULGARIA

[email protected]

Abstract:

This article examines hardness testing methods. Attention is paid to the Rockwell method. Schematically

illustrated technological features in the production of rolled products and blanks as well as types of rolling

machines are shown. Hot-Rolled metal thickness of 2 mm was used for the study. The length before and

after rolling is reported. A comparative analysis of the stiffness of supporting and working rolls

manufacturers has been made. An analysis of the hardness of a working roll after operation is presented.

Keywords: Control, Testing, Hot-Rolled, Metal, Rolls

*This study is supported by Funds for PhD students of BAS - 2019.


AUTOMATIC IMAGE SEGMENTATION USING ST-DBSCAN

CLUSTERING ALGORITHM

FATMA OZGE OZKOKa, METE CELIKa


[email protected]

Abstract:

Clustering algorithms widely used for segmentation of images. Image segmentation is a preprocessing step

that divides the image into regions based on the homogeneity of the regions. Correct segmentation results

can reveal significant part of images to easy the analysis of the images. The ST-DBSCAN clustering algorithm

is one of the popular density-based clustering algorithm that uses both temporal and spatial similarity of

objects to discover clusters. The algorithm requires three input parameters, spatial distance, temporal

distance and minimum number of points in these distances. However, it is very difficult to decide on their

values. In this paper, we proposed a method which is based on ST-DBSCAN algorithm for image

segmentation. The proposed algorithm automatically cluster pixels of images and thus, images are divided

into segments based on both the position of the pixels and the color values of the pixels. Experimental

results showed that ST-DBSCAN is a promising method for segmentation of images.

Keywords: Image Segmentation, Clustering, St-Dbscan

*


BORON NITRIDE (BN) COATING APPLICATIONS IN

MANUFACTURING

BILGIN KAFTANOGLUa, TUGCE HACALOGLUb

aATILIM UNIVERSITY, MANUFACTURING ENGINEERI,NG DEPARTMENT, TURKEY

bATILIM UNIVERSITY, MECHANICAL ENGINEERING DEPARTMENT, TURKEY

[email protected]

Abstract:

A PVD technology is developed to coat boron nitride (BN) films on tools, dies and mechanical parts to

improve hardness, to decrease wear, to reduce friction and to increase high temperature resistance.

Coatings on steel, stainless steel, aluminium, titanium and copper show good adhesion. Quality is checked

by thickness, nano hardness, scratch test, AFM and SEM measurements. From industrial test results, it is

seen that extended life and increased performance is obtained for tools and dies.

Keywords: Coatings, Boron Nitride, Physical Vapor Deposition

*This study is supported by: BOREN Center of Competence for BORON Coatings at ATILIM Univ. Metal Forming Center

of Excellence


REMOVAL OF RADIOACTIVE RADON GAS GENERATED FROM

URANIUM MINE DISCHARGE WATER

AHMET ERDAL OSMANLIOGLUa

aISTANBUL UNIVERSITY – CERRAHPASA, TURKEY

[email protected]

Abstract:

Radon is a naturally occurring radioactive noble gas. It is part of the natural decay series of uranium (U) and

thorium (Th) found in all soils and rocks to a varying concentration. There are three radioisotopes of radon

naturally present in the environment: Radon-222 from the uranium-238 decay series, radon-220 from

thorium-232 decay series and radon-219 from uranium-235 decay series. Radon-219 is of low radiological

significance because of its short half-life of 4 seconds and uranium-235 represents a small percentage

(0.3%) of the activity of naturally occurring uranium. Inhalation of indoor radon (222Rn) and thoron (220Rn)

decay products is the most important source of exposure to ionizing radiation for the human respiratory

tract.

In this research, several mineral based filters have been tested for their potential to reduce the exposure in

terms of the total effective dose for mixed radon and thoron indoor atmospheres. For this purpose, the

well-defined microporous structure of natural materials that were selected according to their surface

adsorption capacity was used to prepare cylindrical mineral filters. The tests were performed inside a small

laboratory type closed chamber providing stable conditions. Mineral filters were exposed to radon

concentrations, which were generated in a closed chamber. Initial radon quantity was measured without

any filter by radon measurement device and compared with filtered radon quantity for each of the mineral

filters. The results of radon measurements, performed in order to precisely quantify the adsorption

characteristics of various mineral based filters are presented in Table.

Keywords: Radon, Environmental, Contamination, Water, Filter

*This study is supported by The Scientific Research Projects Coordination Unit of Istanbul University-Cerrahpasa, FBA-

2018-27741.


GROUP CONTROL OF ROBOTS FOR TRANSPORT OF GOODS

MILENA GROUEVAa


[email protected]

Abstract:

The experimental results, described in the paper are made in the Webots simulation environment. The

experiments are divided into three major variants. The first type of variant is with three robots, simulated

in leader-follower formation, where the other two robots follows the leader. The type of control is

centralized. Parameters of the followers are provided. The second type of experiment is achieved with

seven robots again in the leader-follower formation, aiming to follow the leader with special formation

such as arrow or flock of birds. The third experiment is with seven robots and formation follow-up of three

leaders. Here are investigated the behavior of the followers, when the leaders changes the position and

orientation.

Keywords: Robot, Leader, Follower, Group Control, Transport.



IMPACTS OF PRODUCT AND ENERGY EFFICIENCIES ON GLOBAL

POLLUTION

TOLUNAY KAYAARASIa, NURHAN KAHYAOGLUa

aPIRI REIS UNIVERSITY, TURKEY

[email protected]

Abstract:

Product and energy are needs that cause global pollution but cannot be abandoned. It is understood from

reliable statistics that demand for products and energy, supply, consumption and waste amount increase

steadily and accelerate global pollution due to the increasing world population. In this paper, it is proposed

that an effective product and energy management system to reduce global pollution caused by demand,

supply, consumption and waste amount will provide more protection than research on finding new energy

sources. Product and energy can be classified as Black and Green. The statistics of the last decade in the

black group were published on the charts. Green group values were calculated by saving 1% of the Black

group data values and subtracting them from the existing Green values. Bilateral relations and regression

analyzes were conducted on demand, supply, consumption and waste of both groups. In order to prevent

global contamination under the current conditions, the Black group achieved a 1% savings. As a result,

international organizations' efforts to reduce energy and product consumption were far more important

than studies for clean Green energy research.

Keywords: Black Product, Black Energy, Green Product, Green Energy, Product, Demand, Supply,

Consumption, Waste

*


PROTOTYPE AUTONOMOUS VEHICLE DEVELOPMENT ON

RASPBERRY PI AND ARDUINO UNO

AYLIN YAZICIa, BILGE KAMBEROGLUa, DOGUKAN AKSUa, MUHAMMED ALI AYDINa

aISTANBUL UNIVERSITY-CERRAHPASA, TURKEY

[email protected]

Abstract:

Autonomous vehicles are automobiles that can drive on the road without the need of a driver by detecting

the road, traffic flow, and environment without the intervention of the driver. One of the objects

autonomous vehicles need to detect is the traffic signs around it. In this study, we present a method for

detecting the traffic signs in the environment in real time and enabling the prototype vehicle to move

according to these signs. Various image processing techniques are used to detect traffic signs. An image

taken from the camera is converted to HSV color space and morphological operations are performed on the

image. Traffic signs are detected using the Template Matching method. This detection was carried out on

Raspberry Pi, which was connected to the prototype vehicle. The commands obtained from Raspberry Pi

were sent to Arduino Uno to enable the prototype vehicle to move. The prototype vehicle is able to reach

the target point successfully from the starting point by considering the traffic signs.

Keywords: Autonomous Vehicle, Image Processing, Raspberry Pi, Ardunio

*This study is supported by Scientific Research Projects Coordination of Istanbul University-Cerrahpasa


AN IMAGE GRADIENT OPERATOR VIA DEEP NEURAL NETWORKS

OMER NEZIH GEREKa, BURAK BENLIGIRAYb

aESKISEHIR TECHNICAL UNIVERSITY, FACULTY OF ENGINEERING, DEPT. OF ELECTRICAL AND

ELECTRONICS ENGINEERING, TURKEY

[email protected]

Abstract:

Despite the great interest on deep learning for high-level computer vision problems, low-level image

processing tasks had been left to classical methods, such as directional gradient filtering, Gaussian blur,

etc. The primary reason behind this lack of research is that it is difficult to do manual labeling for low-level

tasks (e.g., edge detection) because of the excessive workload and the ambiguity of the correct labeling. It

is known that supervised machine learning methods depend on excessive number of labelled data for

accurate results. Such large amount of labeled data can be provided by developing a methodology that

produces automatically labeled data. For this study, we have designed a novel probabilistic-generative

model that produces densely labeled synthetic images containing objects with edges at various noise levels.

Therefore, object boundary labels are automatically constructed by the algorithm. A convolutional neural

network trained with the data produced by this model in a supervised manner learns to detect edges in real

images as well, without regard to its semantics. The training of the network was observed to converge

quickly to a level that objectively and subjectively surpass celebrated edge detection gradient operators,

such as the Sobel operator. Close inspection of the convolutional layers show that they do not

separately specialize on classical edge detection stages such as noise removal and directional gradient

operators. Instead, the filters learned by the network are observed to be a mixture of these operations,

which motivates further research about the biological edge sensing mechanisms of the human visual

system.

Keywords: Deep Neural Networks, Edge Detection, Gradient Operators.

*This work is supported by Eskisehir Technical University Scientific Research ProjectCommission under grant 1608F606


A STOCHASTIC 2-D MODEL FOR SOLAR RADIATION ASSESSMENT

EMINE ESRA GEREKa, FATIH ONUR HOCAOGLUb, OMER NEZIH GEREKa

aESKISEHIR TECHNICAL UNIVERSITY, FACULTY OF ENGINEERING, DEPT. OF ENVIRONMENTAL

ENGINEERING, TURKEY

bAFYON KOCATEPE UNIVERSITY, FACULTY OF ENGINEERING, DEPT. OF ELECTRICAL ENGINEERING,

TURKEY

[email protected]

Abstract:

As a major renewable energy source, the solar potential of a place depends on both the geographical

location and the meteorological expectations (cloudiness index, etc.) of the place. Most of the works in the

literature deal with the solar radiation problem as either a time-series and hourly prediction problem, or as

a stochastic/deterministic model fitting problem. Recently, the solar radiation data was considered as a

two-dimensional signal, I(t,d), with t corresponding to hours in a day and d meaning the day throughout the

year. Such a representation was efficient in modelling solar radiation due to inter-day dependencies.

However, the stochastic behavior of the actual and effective solar radiations was not considered in that

approach. In this work, we consider the solar radiation to be the summation of two separate two-

dimensional signals; a deterministic extraterrestrial irradiance, E(t,d), and an additional stochastic noise,

N(t,d), making I(t,d) = E(t,d) + N(t,d). Since E(t,d) is a deterministic curve that can be geometrically

evaluated, the problem boils down to the stochastic modelling of the noise term, N(t,d), which is due to

meteorological effects. Through hourly data recordings from two separate geographical locations in Turkey,

we have verified that the noise term can be modelled as a random field, which can be estimated by simple

meteorological recordings. Hence, we conclude that an accurate solar energy potential assessment can be

made just by the knowledge of geo-location and past meteorological data. The proposed model is expected

to be easily applied to any geo-location on earth.

Keywords: Solar Radiation, Solar Radiation Modeling, Two-Dimensional Stochastic Modeling

*


WET PATCH APPLICATION FOR HYBRID COMPOSITES BY USING

VACUUM INFUSION METHOD

SERKAN ERDEMa, MUSTAFA GURa, METE ONUR KAMANa

aENGINEERING FACULTY, MECHANICAL ENGINEERING DEPT., FIRAT UNIVERSITY, TURKEY

[email protected]

Abstract:

Different types of composite materials are being used instead of traditional materials in machine elements.

The materials are damaged due to the difficulties caused by the use of the machines. Replacing damaged

materials will be very costly, so repairing them will be more economical. There are a wide variety of

methods for the repair of composite materials, one of which is the application of a wet patch by vacuum

infusion.

In this study, buckling behavior of damaged composite plate repaired by wet patch application by vacuum

infusion method was investigated. First, a plate was produced from carbon and aramid hybrid fabric by

vacuum infusion method and 60X100 mm samples were cut. Damage was created by drilling a 20 mm hole

in the middle of the specimens and then the damaged specimens were repaired by applying a wet patch by

vacuum infusion method. To investigate the repair performance of plates, the buckling behavior of

undamaged, damaged and repaired samples was tested by compression test.

Keywords: Composite Repair, Vacuum Infusion Method, Wet Patch, Hybrid

*This study is supported by the TUBİTAK, Project No: 217M140 and Fırat Univ. Scientific Research Projects Unit (FUBAP-

MF-16.43)


AN AHP METHOD TO EVALUATE SUSTAINABILITY IN

ARCHITECTURAL PROJECTS IN HOUSING CONSTRUCTIONS OF

TURKEY

ABDURRAHMAN YAGMUR TOPRAKLIa


[email protected]

Abstract:

In Turkey, public clients develop houses in large masses but selection process is mainly based on low bid

system on price. In the housing construction field in Turkey, Housing Development Association of

government (TOKI) makes widespread investments all over Turkey. TOKI intends to make sustainable

projects in their future operations. However, the main evaluation criteria of architectural projects are price

oriented. Choosing the appropriate project in terms of sustainability terms is of key importance for future

objectives of TOKI. The aim of this article is to propose an AHP method for evaluating architectural projects

in terms of sustainability approach. In order to maintain a high level of client satisfaction, TOKI ought to

analyze the numerous factors that determine a sustainable project. An Analytic Hierarcy Process (AHP)

decision model for evaluating architectural projects is introduced for housing projects in Turkey based on

the three aspects of sustainability; environmental, social, and economic facets. The decision model aid the

client to assess architectural projects that can greatest help the comprehensive aim of sustainability. The

model uses the Analytic Hierarchy Process (AHP) as its basis and a sample application is defined to display

its use after the decision model is delineated.

Keywords: Housing Projects; Sustainability; Architectural Projects; Project Evaluation; Ahp

*


COLLABORATIVE FILTERING RECOMMENDER SYSTEMS: AN

APPLICATION

EMIN TALIP DEMIRKIRANa

aESKISEHIR TECHNICAL UNIVERSITY, TURKEY

[email protected]

Abstract:

As one of the most commonly known recommendation approaches, Collaborative Filtering recommender

systems are the most popular and successful technique for providing personal predictions. Today, there are

several examples of Collaborative Filtering in e-commerce sites, search engines and direct

recommendations such as book, movie etc. In this paper, we outline Collaborative Filtering, its structure,

principles and logic. We also discuss how to evaluate CF systems with an application and make a prediction

for desired objects.

Keywords: Data Mining, Recommender Systems, Collaborative Filtering

*


DEVELOPMENT OF A MULTICRITERIA MATERIAL SELECTION SYSTEM

FOR PUBLIC BUILDINGS’ FACADES BASED ON OPERATIONAL

EFFICIENCY IN TURKEY

ABDURRAHMAN YAGMUR TOPRAKLIa


[email protected]

Abstract:

Operational efficiency of façade systems is important for building industry for economic and environmental

impacts. Turkey has a growing number of public buildings designed and constructed during the last decade.

However, material selection system made for these buildings has been done without a systemic evaluation

system. Operational efficiency of a building façade requires compromise amid economic, functioning and

environmental influences. Façade material selection based on availability may not always deliver the best

result. This paper offers a systematic way for selection of the façade materials for a public building by

calculating the economical, functional and environmental influences of the verdict. A complete list of

operational efficiency criteria for selection of façade systems is presented. The selected operational

efficiency standards are useful to identify the appropriate façade materials. While MOORA, a method of

refining judgments, is used to detect appropriate operational efficiency criteria, AHP is used to identify the

relative importance weights for different criteria. When confronted with the uncertain features of design

stage, rational material selection for public buildings can assist the operational efficiency from the

government point of view. This paper attempts to offer a reliable model for Multicriteria Material Selection

System for Public Buildings Façades at regional scale as the corresponding needs.

Keywords: Public Buildings, Façade Material Selection, MCDM, Performance Assessment

*


RESEARCH ON REGION-BASED CONVOLUTIONAL NEURAL NETWORK

FOR SEMANTIC SEGMENTATION

RIDVAN YAYLAa, BAHA SENb

aBILECIK SEYH EDEBALI UNIVERSITY, TURKEY

bANKARA YILDIRIM BEYAZIT UNIVERSITY, TURKEY

[email protected]

Abstract:

Segmentation techniques are widely used in computer vision world in nowadays. In deep learning

techniques, it is effectively used for recognition a field of an image as semantic. The convolutional neural

network (CNN) is a good architecture for detecting to a field of image. A field of image is handled for

detection and trained via CNN architecture. Finally, it is classified based on pixel-wised thanks to its pixel

similarities and the obtained field is masked via semantic segmentation. By pixel-wise similarity, the

semantic object is detected via segmentation and it is predicted by CNN architecture model. Region-based

segmentation is a useful method for extracting a semantic field of an image. Current studies show that

region-based semantic segmentation can be applied for a lot of object detecting systems such as synthetic

aperture radar (SAR) images, robotics, human-computer interactions, self-driven car technologies, A field of

an image can be segmented as semantic in an image by Mask-Region based Convolutional Neural Network

(Mask-RCNN) method that use to instance segmentation based on semantic segmentation such as person,

background, animals that is described in CNN classes. In this study, it is showed that how to the Mask-RCNN

method use for extracting a semantic field. Thanks to this method, different types of images can be

segmented such as air climatic images, synthetic aperture radar images, traffic or person images etc.

Keywords: Region-Based Convolutional Neural Network, Semantic Segmentation, Deep Learning, Region

Proposal, Instance Segmentation

*


SYNTHESIS AND CHARACTERIZATION OF NEW TIOPHENE/FURANE

CORED MOLECULES AS POTENT UREASE INHIBITORS

NILAY ALTASa, CIGDEM YORUR GORECIa

aYILDIZ TECHNICAL UNIVERSITY, FACULTY OF ARTS AND SCIENCE, CHEMISTRY DEPARTMENT,

TURKEY

[email protected]

Abstract:

The strategy of selective enzyme inhibition gets attention due to the fact unregulated high enzyme activity

results in the formation of the reaction products at abnormal levels causing specific pathologies. Urease

which belongs to the super family of amidohydrolases catalyze the hydrolysis of urea to ammonia and

carbon dioxide in living organisms. The hyper activity of urease leads to high concentration of ammonia,

resulting with the increase of the pH of the medium which is a trait of tremendous medical importance.

In this work we synthesized three new small molecules (Yg3, Yg5 and Yg5-T) having tiophene and furane

cores as potentail urease inhibitors. The small molecule structures were obtained using condensation

reactions. Sword bean urease activity was optimized by using 0,083-5 mM urea. Sword bean urease

showed activity to urea with 1,011 mM Km and 2,778 U/mL Vmax. The optimum temperature for the

enzyme was 40°C and the optimum pH was 7,5. The I50 values and relative inhibition percentages were

determined at different inhibitor concentrations (0.001-5 mM) and Yg3 was found to be the most potent

inhibitor for sword bean urease.

Keywords: Urease Activity, Inhibiton Potent

*


AN EXPERIMENTAL STUDY ON THE DYNAMIC PROPERTIES OF A

POLYMER-CONCRETE COMPOSITES USED İN MACHINE TOOLS

MERT AKELa, ALI MURAT SOYANa, EBUBEKIR BUGRA OZARSLANb, ALPER

NIZAMOGULUb, RECEP AKDENIZa

aGEBZE TECHNICAL UNIVERSITY, TURKEY

bAKIM METAL R&D CENTER, TURKEY [email protected]

Abstract:

In this study, the structural content and usability of different types of polymer concrete composites as an

alternative to the metal casting and construction structures forming the body of CNC machine tools were

investigated based on dynamic analysis methods. Systems developed to solve the vibration problems with

control methods, which is one of the major problems encountered in serial machining, bring significant

costs, do not provide sufficient solutions and complex the system. In order to absorb these vibrations

during production, materials with high damping properties should be preferred. High damper feture of

construction materials in the inverse proportion of low rigidity significantly affect the accuracy of the

machine tools. In this study the polymer-concrete composite body, which can be used without

compromising rigidity, is used in a metal body with high damping properties and studies have been carried

out for optimization with a mathematical approach. Hybrid structure formed with outer metal body offers

advantages for revisions. Tests were performed on 54 samples with various configurations inside and

outside the metal body. The configurations contain admixtures of concrete, polymer and agregate, and

preplaced aggregates with two different resins as epoxy and polyurethane. Best performance was observed

in preplaced Polyurethane matrix-concrete composites.

Keywords: Polymer Concrete Composites, Perpacked Agregate Incorporating Concrete, Prepelaced

Aggregates Composites

*This study is supported by Scientific and Technological Research Council of Turkey (Tubitak) project number 3180339


NUMERICAL SIMULATION OF FLOW OVER DIFFERENT TYPES OF

AIRFOILS

NESLIHAN AYDINa, MEHMET ERMAN CALISKANa, IRFAN KARAGOZa

aFACULTY OF ENGINEERING SCIENCE, DEPARTMENT OF MECHANICAL ENGINEERING,ULUDAG

UNIVERSITY, TURKEY

[email protected]

Abstract:

Airfoils in various types are widely used in many devices subjected to fluid flows such as aircrafts, vehicles,

turbines etc. Therefore, analysing the fluid flow aroud an airfoil is one of the important subjects in fluid

mechanics. In this study, the conseravtion equatins of two dimensional compressible flow over an standard

aerfoils were solved by using different numerical techniques. A fter a mesh independence study, applied

mathematical model, numerical techniques and obtained results are confirmed with experimental results

given in literature. Three different turbulence models, namely the k-w, spalarat almaras and reynolds stress

models were used in the solutions. The performance of turbulence models were evaluated under the

results obtained. The verified numerical model was also applied to the flow onver different types of blades,

including a special airfoil design. Velocity and presure fields obtained around these airfoils were analysed,

and their aerodynamic performances in terms of the lift and drag coefficients were compared to each other

at different angles of attack

Keywords: Renewable Energy, Computational Fluid Dynamics, Airfoils, Lift Coefficient, Drag Coefficient

*


EXERGY ANALYSIS OF SOLAR HYDROGEN PRODUCTION AND

LIQUEFACTION PROCESS

EMIN FUAD KENTa, TANSEL KOYUNb

aITU ISTANBUL TECHNICAL UNIVERSITY MECHANICAL ENGINEERING FACULTY, TURKEY

bSDU SULEYMAN DEMIREL UNIVERSITESI, ENGINEERING FACULTY, DEPARTMENT OF MECHANICAL

ENGINEERING, TURKEY

[email protected]

Abstract:

In this work, energy and exergy analyses of solar hydrogen production and liquefaction process have been

performed. Hydrogen produced from conventional sources, that is produced from steam reforming of

natural gas, which release greenhouse gases and from RES (using electrolysis): from solar energy using

photovoltaics, from solar thermal energy, wind power, hydro power and biomass. The idea of using solar

energy is to protect environment from the unwanted greenhouse gas emissions. Hydrogen could only

become a clean energy carrier if it is produced from the use of RES. Since hydrogen had to be produced,

the electricity production process was followed by electrolysis of water. In the present work, the exergy

analyses will be realized in two phases. In the first phase, exergy analysis of the solar hydrogen production

system (including electrolysis) has been performed. Because hydrogen is transported in a liquid form, the

liquefaction process is also taken into consideration. The hydrogen liquefaction process is very energy

intensive and thus it requires a lot of exergy. In the second phase the exergy efficiency for the liquefaction

process is found. In this work, the exergy efficiencies of the system are presented before and after the

liquefaction process. The exergy analysis has revealed the exergy destruction rates in each component

and the process efficiency. The exergy analyses presented help us to determine the exergy losses

(irreversibilities) and to assess them quantitatively and indicate the possibilities of improvement of the

process or the part of the process that needs to be redesigned.

Keywords: Exergy, Hydrogen, Hydrogen Production, Liquefaction

*


A SEQUENCE CLUSTERING METHOD BASED ON K-MER

COMPOSITION OF BIOLOGICAL SEQUENCES

BERAT DOGANa

aINONU UNIVERSITY, DEPARTMENT OF BIOMEDICAL ENGINEERING, TURKEY

[email protected]

Abstract:

With the development of high-throughput sequencing technologies, massive amounts of biological

sequences are being produced. Clustering of these massive amount of data for different purposes such as

phylogenetic analysis, identification of DNA-binding sites, metagenomics analysis etc. requires quick and

accurate methods. Here, in this study we proposed a new clustering method which relies on the k-mer

composition of biological sequences. The proposed method was tested on both the protein and DNA

sequences. The protein sequence data are composed of a set of proteins from different species which need

to be clustered to find their phylogenetic similarity. On the other hand, the DNA sequence data are

composed of a set of genomic regions sharing a common motif. The DNA data also need to be clustered to

find this common motif shared by the sequences. Experiments performed on the protein and DNA

sequence data showed that, in comparison to the existing methods, the proposed method is quick and

accurate. Moreover, it allows for both the clustering of protein and nucleotide sequences. These unique

properties of the proposed method make it a good candidate as a tool for the clustering of different

biological sequences.

Keywords: K-Mer, Sequence Clustering, Dna Binding Motifs, Phylogenetic Analysis

*


DEVELOPMENT OF VISIBLE LIGHT ACTIVE FE2O3/TIO2

NANOSTRUCTURED PHOTOCATALYSTS

BEGUM UZUNBAYIRa, EYYUP CAN DOLUELa, UGUR KARTALa, METIN YURDDASKALa,

MUSTAFA EROLa

aDOKUZ EYLUL UNIVERSITY, TURKEY

[email protected]

Abstract:

In recent years, titanium dioxide (TiO2) nanotubes have attracted tremendous scientific and technological

interest owing to their formation, properties and functionality. Many methods have been used to prepare

nanotubes via template synthesis, hydrothermal, sol-gel, electrical anodization methods. Compared to

other preparation methods, electrochemical anodization enables any form of Ti surfaces to be coated with

a dense and well-aligned nanotube layer by means of optimizing the anodization parameters such as the

applied potential, time and the composition of the electrolyte. The surface modification of TiO2 with other

narrow bandgap materials capable of absorbing photons in the visible range of spectrum increased its use

as a photocatalyst. The heterojunction structure between TiO2 nanotubes and α- Fe2O3 provided an

effective way to improve photocatalytic activity and change the band gap value of the structure.

In this study, TiO2 nanotubes were acquired using an electrochemical process based on the anodization of

Ti foil in an electrolyte prepared with ethylene glycol, ammonium fluoride (NH4F) and deionized water

under varying anodization voltage and time. It was aimed to observe the effects of the anodization voltage

and time. The characterization of the study was executed by XRD and SEM to determine the phase

structure and morphology of TiO2 nanotubes, respectively. The change of optical band gap of the α-

Fe2O3/TiO2 samples, depending on the processing parameters, were determined through UV-Vis

spectrophotometer. Finally, with a comparative approach, photocatalytic degradation rates and the

kinetics of methylene blue aqueous solutions of α-Fe2O3/TiO2 samples were evaluated.

Keywords: Tio2, Nanotubes, Anodization, Α-Fe2O3, Photocatalyst.

*


PREPARATION, CHARACTERIZATION, AND THERMAL PROPERTIES OF

POLY(METHYL METHACRYLATE-CO-2-HYDROXY PROPYL-3-UREA

METHACRYLATE-CO-ETHYLENE GLYCOLE DIMETHACRYLATE)/N-

OCTADECANE MICROCAPSULES FOR THERMAL ENERGY STORAGE

SYSTEM

DERYA KAHRAMAN DOGUSCUa, AYLIN CETINa, CEMIL ALKANa

aTOKAT GAZIOSMANPASA UNIVERSITY, TURKEY

[email protected]

Abstract:

Energy consumption has rapidly increased because of the growth of population and the technological

advancements in the world. Microencapsulated phase change materials (MEPCMs) have been used for

thermal regulation in different systems. MEPCMs are sometimes produced with functional groups to ease

applications.

This study focused on preparation, characterization, and determination of thermal properties of

microencapsulated n-octadecane with poly(methyl methacrylate-co-2, hydroxy propyl-3-urea

methacrylate-co-ethylene glycole dimethacrylate) [P(MMA-ko-HPMA-ko-EGDM)] shell. P(MMA-ko-HPMA-

ko-EGDM)/N-Oktadekan microcapsules were prepared with 1%, 5%, and 10% 2,hydroxy propyl-3-urea

methacrylate contend to make the outer surface functional. Ethylene glycol dimethacrylate was used as a

corss linking agent. Urea amin is the first time imported to MEPCMs in this study. The particle size,

chemistry, photography, size distribution, thermal storage property and stability of MEPCMs were analyzed

using Fourier transform infrared (FT-IR) spectroscopy, polarized optical microscopy (POM), particle sizer

distribution (PSD), differential scanning calorimetry (DSC), and thermal gravimetric analysis (TGA)

techniques respectively. The melting and freezing temperatures of the MEPCMs were found between 26.3

and 26.6 C and melting and freezing enthalpy were found between 131.1 and 153.2 J/g. Besides, produced

microcapsules were found resistant to degradation up to 155 °C. The results indicated that the

microcapsules with amino functionality have potential to be used as TES materials.

Keywords: Phase Change Materials, Thermal Energy Storage, N-Octadecane, Microencapsulation

*


PREPARATION, CHARACTERIZATION AND THERMAL PROPERTIES OF

1,4-DISTEAROYLAMIDANTHRAQUINONE AS A NOVEL PHASE

CHANGE MATERIAL

ELIF ADIGUZELa, DERYA KAHRAMAN DOGUSCUa, CEMIL ALKANa

aTOKAT GAZIOSMANPASA UNIVERSTY, TURKEY

[email protected]

Abstract:

The energy need of the world is gradually increasing every day due to the changing living conditions.

Thermal energy storage (TES) applications with phase change materials (PCMs) have become one of the

most popular in energy storage in the recent years.

This paper is about the synthesis, characterization, thermal properties and thermal reliability of 1,4-

distearoylamidanthraquinone as a novel solid–liquid PCM for TES applications. Synthesized PCM was

characterized structurally by fourier transform infrared (FT-IR) spectroscopy and proton nuclear magnetic

resonance (1H-NMR) spectroscopy techniques. Thermophysical properties of 1,4-

distearoylamidanthraquinone were investigated with differential scanning calorimety (DSC) and

thermogravimetric analysis (TGA) techniques. DSC was exploited for determination of phase change

enthalpy, temperature, specific heat and total enthalpy of stearic acid and synthesized PCM. Phase change

temperatures and enthalpies were found slightly lower than the fatty acid and DSC analyses pointed out

that the melting temperature was 66 C with phase change enthalpy of 85.76 Jg-1 as solidification

temperature was 54 C with phase change enthalpy of -89.97 Jg-1. Thermal endurance limits and

morphology of 1,4-distearoylamidanthraquinone were also investigated using TGA and POM techniques

respectively. TGA measurements indicated that 1,4-distearoylamidanthraquinone degraded in two steps at

215 and 321 C which were quite above from the operating temperature ranges for TES applications.

Consequently, it was concluded that the synthesized novel PCM had low values of enthalpy due to the

bulky group at the center of the molecule. However it has still considerable potential for miscelleanous

applications with its thermal properties.

Keywords: Thermal Energy Storage; Phase Change Materials, Stearic Acid

*


TAILORING THE THIOL-ENE POLYMERIZATION: A QUANTUM

CHEMICAL STUDY

ISA DEGIRMENCIa

aONDOKUZ MAYIS UNIVERSITY, TURKEY

[email protected]

Abstract:

Recently, thiol-ene polymerisation have been getting growing attraction not only improved production of

uniform polymer network, reduction of polymer shrinkage stress and obtaining narrow the Tg range but

also providing a wide range of application areas from material science to bioorganic chemistry. Thiol-en

polymerization can pick up some advantages of both step growth and chain growth polymerizations.

However, this feature of the processes especially useful for electron-rich monomers such as vinyl ether. The

thiol-ene polymerization is mostly governed by the ratio of the propagation (kP) and the chain transfer

(kCT) reaction rate ratio (kP/kCT). Experimental and theoretical studies have emphasised especially the

importance of ene functionality to explain the reaction mechanism while electronic nature of the thiol

functionality has been excluded. This study has revealed that how thiol functionality can influence the thiol-

ene polymerization processes. For this purpose, substituted phenyl thiols have been used enlightening the

thiol-ene reactions of various monomers from electron rich to electron deficient alkenes. M06-2X/6-

31++G(d,p) level of theory was used to evaluate kinetic and energetic features of the processes. This study

has elucidated the importance of intermolecular interactions like π-π interactions can play a crucial role in

the chain transfer reaction step. These kinds of effects can pave the way for tuning the thiol-ene

polymerization process that may be considered for industrial production of high-tech polymers.

Keywords: Thiol-Ene Polymerization, DFT Study, Radical Polymerisation

*This study is supported by the Scientific and Technological Research Council of Turkey research funding under grant

no. 217Z073.


DESIGN A CONSTITUTIVE FUZZY LOGIC MODEL OF WARPAGE ON

SHAPE MEMORY POLYURETHANE PARTS

SUKRAN KATMERa, OMER FARUK BAYb, CETIN KARATASc

aDEPARTMENT OF AIRCRAFT AIRFRAME ENGINE MAINTENANCE, CAPPADOCIA UNIVERSITY,

TURKEY

bDEPARTMENT OF ELECTRICAL - ELECTRONIC ENGINEERING, FACULTY OF TECHNOLOGY, GAZI

UNIVERSITY, TURKEY

cDEPARTMENT OF MANUFACTURING ENGINEERING, FACULTY OF TECHNOLOGY, GAZI UNIVERSITY,

TURKEY [email protected]

Abstract:

Injection moulding process of shape memory thermoplastic polymers is important for manufacturing of

stimuli-responsive plastic parts in mass production. Moulding conditions have remarkable role on the

controlling of permanent shape of moulded parts. Warpage is the one of the main factors, which define the

part shape quality. A limited number of experimental studies have been conducted to determine the

relationship between warpage and moulding parameters. According to the experimental study, injection

pressure and cooling time are the most effective parameters on warpage. But, it is very difficult to define

an accurate mathematical model that gives the warpage value with respect to injection pressure and

cooling time. In this study, the relationship between moulding parameters and warpage was defined as a

constitutive model by using fuzzy logic. Fuzzy model consists of two input variables and one output

variable. Cooling time and injection pressure were selected as input variables and warpage was selected as

output variable for the fuzzy model. The results showed that the model represented experimental results

with high confidence.

Keywords: Permanent Shape, Warpage, Shape Memory Polymers, Fuzzy Logic

*


THE GROUP OF TRIANGULAR ROBOTS WITH OMNI-WHEELS AS A

SPECIALIZED LOGISTICS SYSTEM

MARIIA ANDREEVAa, VLADIMIR PAVLOVSKIYb, ELENA KOLESNICHENKOb,

VLADIMIR (JN) PAVLOVSKIYc, IGOR ORLOVb, ALEX PODOPROSVETOVb, ANTON

ALISEYCHIKb

aMOSCOW AUTOMOBILE AND ROAD CONSTRUCTION STATE TECHNICAL UNIVERSITY (MADI),

RUSSIAN

bKELDYSH INSTITUTE OF APPLIED MATHEMATICS OF RUSSIAN ACADEMY OF SCIENCES, RUSSIAN

cPLEKHANOV RUSSIAN UNIVERSITY OF ECONOMICS, MOSCOW, RUSSIAN [email protected]

Abstract:

In a paper the control of the robot with three omni-wheels for creation of a specialized mechatronic

logistics system is studied. The system is intended for tansportation of objects of large dimensions.

The feature of the elaborated robot is that he presents himself the platform in the form of a rectangular

triangle. In work function of control is investigated and obvious formulas of the torques of forces which

need to be put to wheels for the movement along the given trajectory are given. Two special cases of the

movement are considered: forward and the movement on a tangent to a trajectory in relation to the

offered problem of logistics

The features of the elaborated transportation system are presented as well. They are demonstrated by

means of a detailed description a by special video model. Results of simulation show effectiveness of a

system are presented also.

Keywords: Omni-Wheel, Mobyle Robot, Logistic System

*


DYNAMIC TIME WARPING BASED FEATURE EXTRACTION FOR

CLASSIFICATION OF NEAR INFRARED SPECTROSCOPY SIGNALS

EDA AKMAN AYDINa


[email protected]

Abstract:

Near Infrared Spectroscopy (NIRS) is a non-invasive optical imaging modality that measures cerebral

hemodynamic activity in the brain. Thanks to high noise immunity and portability of NIRS, it has been

involved in motor imagery (MI) based Brain Computer Interface (BCI) studies in recent years. This study

proposes dynamic time warping (DTW) based feature extraction method to classify two class MI NIRS

signal. In this context, two curves related to left hand and right hand imagination are fitted by using HbO

and HbR signals. Dynamic time warping algorithm is used to determine the similarity between the fitted

curve and the sample signal. The proposed technique is validated on the benchmark MI based NIRS dataset

collected from 29 subjects by using 36 channel NIRS system. The results of the study have clearly shown

that dynamic time warping algorithm is a novel and promising feature extraction method to classify MI

based NIRS signal.

Keywords: Near Infrared Spectroscopy (Nirs), Brain Computer Interface (Bci), Motor Imagery (Mi), Curve

Fitting, Dynamic Time Warping (Dtw)

*


USE OF BAFFLE BLOCKS FOR WATER POLLUTION REMOVAL

O. FARUK DURSUNa, MAHMUT AYDOGDUb

aINONU UNIVERSITY, TURKEY

bTURGUT OZAL UNIVERSITY, TURKEY

[email protected]

Abstract:

In today's world control and prevention of environmental pollution are among the most important

agendum items. Many methods are used to eliminate water pollution and to self-aeration the water. With

the use of baffle blocks the energy of the water released from the sloping channels is dissipated and the

water is self-aerated. The water-air interface helps the contaminated gases in the water to pass into the

atmosphere and the oxygen from the atmosphere to the water. In this study, by changing the distances of

chute blocks placed on a sloping channel from the start of the channel and the distance between the block

rows, the amount of energy dissipation downstream and self-aeration rates was tried to be determined.

The results were compared and interpreted.

Keywords: Aeration Of Water, Baffle Block, Energy Dissipation, Self-Aeration.

*This study is supported by Inonu University Scientific Research Projects Unit under project numbers of FDK-2018-1394.


A NEW SUFFICIENT CONDITION FOR STABILITY OF NEURAL

NETWORKS OF NEUTRAL-TYPE WITH DISCRETE DELAYS

RUYA SAMLIa, EYLEM YUCELa, SABRI ARIKa

aISTANBUL UNIVERSITY – CERRAHPASA, TURKEY

[email protected]

Abstract:

This paper carries out an analysis of the stability of neutral type neural networks with discrete time delays

in states and discrete neutral delays in time derivative of states. By utilizing an appropriate Lyapunov

functional, a new sufficient condition ensuring the global asymptotic stability of delayed neutral-type

neural networks is presented. The obtained stability condition is totally independent of delay parameters

and expressed in terms of network parameters.

Keywords: Neutral Systems, Neural Networks, Lyapunov Functionals, Stability Analysis.

*This work was supported by the Scientific and Technical Research Council of Turkey, under Project 118E682


PERFORMANCE COMPARISON OF THE IEEE 802.15.4 STANDARD

(ZIGBEE) TOPOLOGIES

ESRA SOGUTa, O. AYHAN ERDEMa


[email protected]

Abstract:

The ZigBee standard is one of the wireless network technologies such as Wifi and Bluetooth. It offers

several advantages over other communication standards in terms of features such as low power

consumption, low battery consumption and short-range effectiveness. Various network simulations are

used for inspecting and displaying wireless networks. The OPNET Modeler simulator is one of them. In this

study, different ZigBee standard network topologies are evaluated using OPNET Modeler simulation tool.

We compared the performance of star, tree and mesh network topologies of ZigBee standard according to

the criteria of delay, load, throughput, end to end delay and numbers of hobs. According to the simulation

results obtained, the star topology for the delay value, the tree for the load value, the tree for the yield

value and the star for the end-to-end delay value gave the best results. When the number of hobs is

considered, the lowest value belongs to the star topology.

Keywords: Zigbee, Wireless Networks, Opnet, Throughput, Delay

*


AN EXPERIMENTAL STUDY ON THERMAL ENERGY STORAGE IN URFA

AND BASALT STONES AT CONSTANT TEMPERATURE CHARGING

YUNUS DEMIRTASa, HUSAMETTIN BULUTa, ILHAMI ERCANa

aHARRAN UNIVERSITY, TURKEY

[email protected]

Abstract:

Thermal storage applications are an important solution in terms of energy efficiency and energy

sustainability. Thermal energy storage can be done with different materials for later use when the energy is

excessive or interrupted and the energy costs are low. In this study, the thermal energy storage potential of

Urfa and basalt stones, which are natural stones in Sanlıurfa located in southeastern of Turkey, were

investigated at constant temperature charging and discharging. For this purpose, the experimental setup

consists of an insulated box in which the stones are placed, an electrical heater and measuring devices. The

air inlet and outlet temperature, stone temperature and ambient temperature were measured and

recorded in the datalogger. According to the measurements made at different temperatures and air

velocities, the thermal energy storage quantities of the stones were determined and the time-dependent

temperature changes were investigated. It found that charging time is shorter as speed and temperature

increase. As a result of the study, it was determined that the thermal storage potential of basalt stone was

higher than that of the Urfa stone. It has been seen that the thermal storage potentials of natural stones

can be used in terms of increasing energy efficiency in heating systems. With these results, it is found that

the volume, the capacity, the structure and the insulation of the storage box should be selected

appropriately for high thermal storage. In addition, the installation of an automation system is required in

order to achieve high performance in energy storage.

Keywords: Thermal Energy Storage, Urfa Stone, Basalt Stone, Constant Temperature

*


GROWTH OF ZNO-CH NANOSTRUCTURES ON ITO/GLASS

SUBSTRATES THROUGH ELECTROCHEMICAL ANODIZATION FOR

BIOSENSOR APPLICATIONS

BERKANT UZUNBAYIRa, AHMET AYKACa

aNANOSCIENCE AND NANOTECHNOLOGY, NATURAL AND APPLIED SCIENCE INSTITUION, IZMIR

KATIP CELEBI UNIVERSITY, TURKEY

[email protected]

Abstract:

In recent years, the utilization of nanotechnology rapidly developed for a wide range of sciences.

Nanomaterials show unique properties and ZnO nanostructures are the most suitable structures for

biosensor applications due to their high surface area and high electrochemical activity. In this project, a

zinc film coated on to Glass/ITO surface by an electrochemical deposition method. The film obtained then

transformed into nanostructured ZnO by electrochemical anodization method. Different parameters

studied for the optimization of coating and nanostructure growths. Finally, chitosan grafted on the ZnO

nanostructure surface to obtain a suitable scaffold as an electrode for biosensor applications.

Keywords: Zno, Nanostructures, Chitosan, İTO-Glass, Anodization,Electrochemical Deposition, Biosensors.

*


EXPERIMENTAL INVESTIGATION OF THE STORAGE OF SOLAR

ENERGY IN NATURAL STONES

HUSAMETTIN BULUTa, YUNUS DEMIRTASa, ILHAMI ERCANb

aDEPARTMENT OF MECHANICAL ENGINEERING, FACULTY OF ENGINEERING, HARRAN UNIVERSITY,

TURKEY

cGRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES, DEPARTMENT OF MECHANICAL

ENGINEERING, HARRAN UNIVERSITY, TURKEY [email protected]

Abstract:

Among the energy sources, the most consumed fossil fuels tend to be depleted and are one of the main

causes of irreversible environmental pollution; has caused the world to turn to alternative energy sources.

It has become imperative that externally energy dependent countries should develop different solutions to

meet the energy needs and reduce their energy consumption. Although the use of renewable energy

sources is constantly increasing, there are some disadvantages of these systems. The biggest problem

encountered in the use of renewable energy is the discontinuity and disruption of energy. Thermal energy

storage technologies can be an important solution for energy efficiency and sustainability in energy use. In

this study, thermal energy storage properties of pebbles, Urfa stone and basalt stone at different geometric

shapes were investigated experimentally under Sanlıurfa climate conditions. For this purpose, an

experimental setup including an insulated box where the stone is placed inside, an air solar collector, a fan

and the measuring devices have been used. Solar radiation, air inlet and outlet temperatures, stone

temperatures and ambient temperature were measured and recorded by using a data logger for the

analysis and calculations. Charge and discharge times, and the thermal energy storage potentials of the

stones were determined according to the measurements carried out for different days and the time

dependent temperature changes were examined. As a result of this study, it was determined that the

thermal storage capacity of the basalt stone is higher than other stones.

Keywords: Solar Energy, Thermal Energy Storage, Urfa Stone, Basalt Stone, Pebble Stone

*


FABRICATION OF CALIXARENE NANOFIBERS FOR CONTROLLED

RELEASE OF THE DRUGS

ESRA MALTAS CAGILa, OTHMAN HAMEEDb, FATIH OZCANc

aSELCUK UNIVERSITY, FACULTY OF PHARMACY, DEPARTMENT OF PHARMACEUTICAL

PROFESSIONAL SCIENCES, DIVISION OF BIOCHEMISTRY, TURKEY

bSELCUK UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF CHEMISTRY, TURKEY [email protected]

Abstract:

Researchers have recently fabricated different types of controlled drug delivery vehicles to maintain the

drug concentration in the body within its therapeutic range for prolonged time. High drug loading capacity

is very crucial because of controlling the release rates, The aim of this study is to develop an electrospun

calixarene nanofiber based calixarene for controlled release of hydrophobic drugs. To accomplish this, we

have synthesized 5,17-bis-[Methyl-N-Methyltranylate]-25,26,27,28-tetrahydroxycalix[4]arene (Compound

3) of which nanofiber (F-14) was produced by electrospinning. Drug loading and release kinetics were

studied in different physiological pH. Drug loading and release kinetics were monitored by using

fluorescence spectroscopy. According to the results, while maximum amount of loaded Donepezil and

Thiabendazol onto nanofiber was found to be as 30.529 μg and 1.688 μg at pH 7.4. The max release of Dnp

and Tbz from nanofiber was also 9.720 μg at pH 2.2 and 0.243 μg at pH 7.4. Drug loading to nanofibers was

clarified by SEM, TEM, EDX and FT-IR analysis. In conclusion, we have reported a new controlled release

nanofiber incorporated with a calixarene derivative for development of pH stimuli drug delivery system.

Keywords: Nanofiber, Calixarene, Controlled Release, Pharmaceuticals, Drugs

*This study is supported by The Research Foundation of Selcuk University (BAP) with Grant No:18401


INNOVATIVE TECHNOLOGY FOR INCREASING THE EFFICIENCY IN

TUBULAR FURNITURE PRODUCTION MACHINE

PETER PANEVa


[email protected]

Abstract:

In the presented paper a visualization and SCADA System for a Tapping Machine are discussed. A

systematic study of the types of communication and devices associated with the primary system is

accomplished. A system for observing a basic system through remote access is presented, and a "Web

server" is implemented for this purpose. A system for archiving of alarm events and their recording is

accomplished. The system has been used to automatically send email depending on the need of the main

support staff.

Keywords: Control, Machine, Production, System



HAND EXERCISE APPLICATIONS BASED ON MICROCONTROLLER

USING UNITY 3D PLATFORM FOR PARALYTIC PATIENTS

BUSRA NUR GUNERa, BURAKHAN CUBUKCUa, RIDVAN YAYLAa, UGUR YUZGECa

aBILECIK SEYH EDEBALI UNIVERSITY, TURKEY

[email protected]

Abstract:

Paralysis is a disease that influences to a lot of people in nowadays. Most of people need to a lot of

rehabilitation applications for taking their movement ability back. In this study, some hand exercise

applications are developed by using Arduino Lilypad, flex sensors, Bluetooth module and Unity 3D game

motor for strengthening to hand muscles of patients that complain about feeling failure, weakness of hand

joint based on paralysis at physiotherapy process. This study will provide a facility to paralytic patients that

need to do their physical exercises at their homes or couldn’t go to the physiotherapy centers. It is aimed

that an application is developed for helping to paralytic patients and physiotherapists at physiotherapy

processes in scope of the study.

Keywords: Paralysis, Hand Exercise, Flex Sensors, Arduino Lilypad

*


PRODUCTION OF HIERARCHICAL GRAPHENE-FOAM/Α-

FE2O3/CHITOSAN STRUCTURE FOR BIOSENSOR APPLICATIONS

FETHULLAH GUNESa, AHMET AYKACb, MUSTAFA EROLc

aİZMIR KATIP CELEBI UNIVERSITY, TURKEY

bIZMIR KATIP CELEBI UNIVERSITY, ENGINEERING AND ARCHITECTURE FACULTY, DEPARTMENT OF

ENGINEERING SCIENCES, TURKEY

cDOKUZ EYLUL UNIVERSITY, ENGINEERING FACULTY, DEPARTMENT OF METALLURGICAL AND

MATERIALS ENGINEERING, TURKEY [email protected]

Abstract:

Production of Hierarchical Graphene-Foam/α-Fe2O3/Chitosan Structure for Biosensor Applications

Graphene is a two-dimensional material, which has its own unique conic band structure and high carrier

speed of which provides itself a widespread potential of usage in the electronic devices such as in

transistors, battery and sensor applications. α-Fe2O3 is a semiconductor material that has a high binding

energy, high electrochemical performance, low cost and a wide band gap. To be used as sensors and

biosensors, α-Fe2O3 nanostructures can be synthesized by several methods including microwave heating,

solution-combustion, sol-gel, and hydrothermal methods. Among those methods, hydrothermal synthesis

shows some advantages as homogeneous nucleation, and grain growth of hematite nanocrystals. The

heterojunction structure between graphene foam (GF) and α-Fe2O3 provides an effective way to improve

the sensor's sensitivity, selectivity, stability, and reproducibility. Due to its advantageous properties such as

good biocompatibility, film-forming ability, nontoxicity, and mechanical strength, chitosan plays a vital role

in sensor studies as an enzyme binding agent where it provides immobilization of glucose oxidase enzyme

(GOx) to be coated on the composite material for a sensitive and faster glucose measurement. In this study

graphene foam has been synthesized by using chemical vapor deposition (CVD) method and characterized

by Raman spectroscopy, scanning electron microscopy (SEM), and X-ray diffraction (XRD) spectroscopy. In

the second part of this study; α-Fe2O3 nanowires were grown on graphene foam by hydrothermal

synthesis method and the GF / α-Fe2O3 hierarchical structure was then, characterized by XRD and SEM.

Keywords: Graphene, Α-Fe2O3, Chemical Vapor Deposition, Hydrothermal Method, Sensor

*This study is supported by Scientific Technological Research Council of Turkey (TUBITAK-118M621)


RADIOLOGICAL CHARACTERIZATION OF COAL FLY ASH

AHMET ERDAL OSMANLIOGLUa

aISTANBUL UNIVERSITY - CERRAHPASA, TURKEY

[email protected]

Abstract:

In this research, coal fly ash samples were collected from five different thermal power plants in Turkey.

Each of them has different concentrations of natural radioactive elements and daughters depending on

initial concentrations and chemical form of the fly ash. Activities of fly ashes which were taken from power

plants were measured in the potential of the hazardous level. For this purpose, initially, all samples were

pulverized for maintaining homogeneity and dried at 110 °C. Then transferred to containers for gamma-ray

measurements and sealed for 8 weeks to ensure secular equilibrium between radium and its radioactive

progenies. During this period samples were stayed to ascertain establishment of secular equilibrium

between 226Ra and 228Th with their daughters to prevent radon loss. Then all samples were taken to

gamma-ray spectrometric analyses. Concentration levels of samples in Bq/kg were determined. The

activity levels of 232Th and 226Ra were compared to the exempt activity concentrations for fly ash releases

as established in the basic safety standards given by the IAEA. Radiological hazardous indices of fly ash

samples were evaluated according to international permission limits. Absorbed dose rate caused by fly ash

samples was found lower than 0.055µGy.h-1. The maximum effective dose was determined lower than the

permissible limit. Concerning the waste regulatory and waste management guidelines, fly ashes have to be

evaluated for potential environmental implications. Results show that these values have to be taken into

account in case of further use, although results are under exemption limits.

Keywords: Fly Ash, Radioactivity, Radiation, Dose

*


PIEZOELECTRIC ACTUATED INSULIN PUMP SIMULATION MODEL

AND CONTROLLER DESIGN

ALP KACARa, MEHMET BULENT OZERb, YIGIT TASCIOGLUa

aTOBB ECONOMY AND TECHNOLOGY UNIVERSITY

bMIDDLE EAST TECHNICAL UNIVERSITY

[email protected]

Abstract:

The objective of this work is to develop an automatic piezoelectric insulin pump simulation model and

controller which measures and keeps the blood glucose at a healthy level.

In the design of the automatic insulin pump, different than existing studies in the literature, piezoelectric

actuated valveless micro pump were planned and the simulation model of the piezoelectric pump was

created with the COMSOL Multiphysics software with the two-way fluid-structure interaction (FSI) analysis.

Valveless operation of the piezoelectric pump was provided with the nozzle/diffusor structure. In addition

to that, MATLAB-Simulink program was used in the simulation model of the automatic insulin pump and

controller design has been established here.

In the designed system, piezoelectric pump is going to deliver the insulin from the insulin reservoir to

Ackerman’s minimal model in under control and while the insulin is being sent, piezoelectric driver

increases the control signal and send the signal to the piezoelectric pump. The control signal is produced

with a closed-loop PID interpreting the data coming from the glucose sensor as feedback signal. A human’s

glucose-insulin simulation has been completed with this closed-loop mechanism.

Keywords: Insulin Pump, Micro-Piezo Pump, PID, Ackerman

*


PRODUCTION AND CHARACTERIZATION OF FE3AL-AL2O3

COMPOSITE MATERIAL BY HIGH TEMPERATURE VOLUME

COMBUSTION SYNTHESIS

NESE OZTURK KORPEa, BAHRI CAKMAKa

aESKISEHIR OSMANGAZI UNIVERSITESI, TURKEY

[email protected]

Abstract:

The combustion synthesis of intermetallic aluminide materials has been extensively studied over the last

fourty years. The most important problems in the production of these materials by the synthesis of

combustion; the final product had insufficient density and poor homogeneity. In this study, it is aimed to

reduce porosity in the production of Fe3Al (iron aluminide) based Alumina (Al2O3) reinforced composites

by high temperature volume combustion synthesis method. The effect of high initial pressing pressures

(420 MPa, 630 MPa and 850 MPa) and different Al2O3 contents (5,15,20 vol.%) on the properties of Fe3Al-

Al2O3 composite materials were investigated. The density and porosity values of the composite material

samples were calculated by Archimedes Principle. Microstructure examinations were performed by optical

microscope (OM) and scanning electron microscope(SEM). Phase analyzes were performed with X-ray

diffraction device (XRD). For all compositions increase for density was obtained due to increased initial

pressing pressures.

Keywords: Volume Combustion Synthesis, Iron Aluminide, Alumina, Composite

*


AN INVESTIGATION OF SYMBOL ERROR RATE OVER TWDP

CHANNELS FOR ADDITIVE LAPLACIAN NOISE

MEHMET BILIMa

aNUH NACI YAZGAN UNIVERSITY, TURKEY

[email protected]

Abstract:

This paper proposes new analytical expressions for a single-input single-output wireless communication

system over two-wave with diffuse power (TWDP) fading in the presence of additive Laplacian noise. The

exact and asymptotic closed-form expressions of the average symbol error rate (SER) for M-phase shift

keying (PSK) modulations are derived. The analysis are based on the probability density function of the

instantaneous signal-to-noise ratio for TWDP fading environment and averaging the conditional SER of M-

PSK with additive Laplacian noise for minimum Euclidian distance detector. The derived average SER

expressions are confirmed by simulations for various scenarios.

Keywords: Two-Wave With Diffuse Power Fading, Average Symbol Error Rate, M-Ary Phase Shift Keying.

*


ASYMPTOTIC ERROR ANALYSIS OF PHASE SHIFT KEYING

MODULATIONS UNDER LAPLACIAN NOISE AND Α-Κ-µ FADING

CONDITIONS

NURI KAPUCUa

aHITIT UNIVERSITY, TURKEY

[email protected]

Abstract:

In this work, asymptotic average symbol error rate (ASER) expressions are derived for M-ary phase shift

keying (M-PSK) modulations in the presence of additive Laplacian noise over α-κ-µ fading channels. First, an

asymptotic probability density function (PDF) is presented for α-κ-µ distribution. Then, asymptotic ASER

expressions are proposed based on this PDF expression for three different cases such as M≥8, M=4

(quadrature phase shift keying, QPSK) and M=2 (binary phase shift keying, BPSK). Finally, obtained

asymptotic results are illustrated in comparison with exact integration results for different values of fading

parameters.

Keywords: Phase Shift Keying, Α-Κ-µ Fading, Laplacian Noise, Asymptotic Analysis

*


COMPARING FRACTURE THEORIES IN ADHESIVELY BONDING JOINTS

YASAR AYAZa, ABDULKERIM ARIa

aINONU UNIVERSITY, TURKEY

[email protected]

Abstract:

Bonding joints have an important place in the aerospace and automotive industry. The geometry of the

bonding joint, overlap length, adhesive thickness are effective to achieve a good adhesive bonding joint. As

it is difficult to make experiments in the studies on bonding connections, it is necessary to reduce the

number of experiments by modeling. In the modeling, a correct method must be used. The fracture

theories used for general materials are not sufficient to define the adhesive. For this, Cohesive Zone model

has been developed recently.

In this study, different bonding joints with the same adhesive area were subjected to axial tensile load. The

same elements were modeled by finite element method and solved with von mises and cohesive zone

model. The results were compared with the experimental results. The model which gives closer results to

experimental results has been revealed.

Keywords: Adhesively Bonding Joints; Cohesive Zone Model; Von Mises, Finite Elment

*This study is supported by Inonu University Research Fund Directorate with project number FYL-2019-1717)


AN ALGORITHM TO DETECT THE VITAL SIGNS OF MULTIPLE

HUMANS IN THE PRESENCE OF HIGH STATIC CLUTTERS

ISMAIL SARITASa, YUNUS EMRE ACARa, ERCAN YALDIZb



bKONYA TECHNICAL UNIVERSITY, TURKEY [email protected]

Abstract:

Human-targeted radar applications have become an important issue in which interest has increased in

recent years. In this study, vital signs which are the basis of many human-targeted applications are

discussed. In the case of high clutter, which is one of the most important problems of vital sign detection, it

is aimed to detect the vital signs of single and multiple human targets. A two-stage algorithm is proposed to

detect the single and multiple targets under high static Rayleigh distributed clutter. The ranges of the

targets are determined in the first stage of the algorithm while the vital signs are detected in the second

stage. The algorithm is developed for Step Frequency Continuous Wave (SFCW) radar structure with I/Q

demodulation and tested for different scenarios. The results confirm that the algorithm detects the vital

signs accurately.

Keywords: SFCW, Simulation, Vital Sign, Range FFT, Doppler FFT, Radar Signal Processing, Bio-Radar

*


USING ARTIFICIAL NEURAL NETWORK APPROACH FOR VALUATION

OF THE HOUSE

ALI YASARa, ISMAIL SARITASa


[email protected]

Abstract:

Housing valuation, which is at the forefront of real estate appraisal, is inadequate to provide instant

solutions with classical methods, and methods currently used are insufficient to create housing value maps.

For this reason, the usability of artificial neural network methodologies supported by computer technology

in the application process was investigated. In the study, New TaipeiCity Sindian Dist. The real estate

market valuation gathered from. The appraisal process of these properties was realized with ANN

approaches by using 414 real estate data.

With the application of the methodology, the criteria of the established house were divided into six groups:

the date of the appraisal, the age of the building, the distance to the MRT station, the number of grocery

stores within walking distance, and the geographical coordinates of the house in the north and east.

Property appraisal was made with ANN application and an accuracy of R = 84.76% was obtained. The study

was carried out in Matlab program.

Keywords: Real Estate, Housing Valuation, Artificial Neural Network

*


EVALUATION OF WAITING TIME AND TRANSPORT COSTS WITH

SIMULATION IN URBAN BUS TRANSPORT

EMINE RUMEYSA KOCAERa, HALIL İBRAHIM KORUCAa, SAMIA CHEHBI-GAMOURAb

aSULEYMAN DEMIREL UNIVERSITY FACULTY OF ENGINEERING DEPARTMENT OF INDUSTRIAL

ENGINEERING, TURKEY

bHUMANIS, EM STRASBOURG, UNIVERSITY OF STRASBOURG, STRASBOURG, FRANCE [email protected]

Abstract:

It is important for both the bus owner and the passengers to determine the bus and minibus routes that

are frequently used in urban passenger transport. Because the distance between the stops, the streets

where the vehicle passes, the distance to reach the bus stop of passengers, how many minutes the bus will

move, the waiting and transport time effects.

Bus routes surround the entire residential area of the city as a network in various ways. The use of buses as

a means of public transportation is preferred because it requires fewer infrastructure investments. The

distance between stops, the population of settlements, the size/capacity of the bus and how many minutes

the bus will move, determines the waiting time of passengers at the stop and duration of the tour.

In this study, it is aimed to reduce bus operating costs and waiting times of passengers. Bus stops between

Isparta center and Suleyman Demirel University West Campus, number and density of passengers, bus

departure times and bus capacities were analyzed and modeled in the simulation software. As an

alternative improvement scenario, buses with little and very passenger capacity were used and departure

times were arranged. The effect of alternative scenarios on operating costs and waiting time was evaluated

with the results obtained from simulation software.

Keywords: Urban Transportation, Operating Cost, Waiting Time, Simulation

*


COMPARISON OF THE EFFECTS OF DIFFERENT GRAIN REFINING

ELEMENTS ON ALUMINIUM BRONZES

FIKRI ERDEM SESENa, TUBA OZERENa, TALIP CITRAKa

aSAGLAM METAL INDUSTRY AND TRADE CO., R&D DEPARTMENT, TURKEY

[email protected]

Abstract:

Grain size affects the overall properties of metals. In order to understand the effects of grain size reduction

on microstructure, hardness, tensile properties and corrosion resistance, a grain refining element

(zirconium or cobalt) was added to aluminium bronzes some of which contained also manganese, besides

nickel and iron. The grain refining element theoretically formed 0.2 per cent of the charge that was melt in

an open atmosphere induction furnace. The castings were forged and heat treated while microstructural

investigation, hardness and tensile testing and measurement of electrical conductivity were performed

both before and after heat treatment. Furthermore, the final products were immersed in a corrosive liquid

in order to have an idea about their corrosion resistance by comparing their weight losses that occurred in

the related period.

When the results were considered, it was understood that zirconium was less effective than cobalt in

solidification stage, but it was also seen that both of the elements, also manganese itself, significantly

increased the effect of forging on hardness increase; i.e. the hardness difference between unforged alloy

and forged alloy was increased by the addition of manganese and was further increased by the addition of

the two grain refining elements. Finally, it is interesting to note that zirconium addition caused a higher

hardness increase affected by forging treatment, compared to cobalt.

Keywords: Aluminium Bronze, Grain Refiner, Forging, Tensile Properties

*


EXPERIMENTAL SET-UP TO MEASURE TEMPERATURE EFFECTS ON

THE VISCOSITY OF IONIC LIQUID

ABDULCABBAR YAVUZa, A.ROBERT HILLMANb, KARL S.RYDERb

aGAZIANTEP UNIVERSITY, TURKEY

bUNIVERSITY OF LEICESTER, UNITED KINGDOM

[email protected]

Abstract:

Heating can melt the salts. Liquid forms of the salt are called ionic liquids or molten salts. While solvent

molecules and solvated ions form classical solutions, ionic liquids do not have molecular solvents, they only

have ions. Molten salts which are liquid at around room temperature are called room temperature ionic

liquids. Room temperature ionic liquids have been recently widely used for material processing. However,

their physical properties including density, boiling point, conductivity, viscosity have not been fully reported

for all ionic liquids. As ionic liquids are expensive, a small amount of ionic liquids must be prepared to

measure their physical properties. Therefore, alternative methods for measuring the physical properties of

ionic liquids from a small amount of them (typically 1 mL) are required. Quartz crystal impedance analysis

could be used to measure viscosity and density of ionic liquids. In this study rotational viscometer and

quartz crystal microbalance techniques are used together to compare rheological properties of ionic liquids

which are highly viscous. A new method is suggested to measure the viscosity of ionic liquids at a wide

temperature range from 30 °C to 80 °C in this study. A probe based on quartz crystal has been designed to

measure the viscosity of ionic liquids by immersion in an ionic liquid solution.

Keywords: Physical Properties, Viscosity, Ionic Liquids, Qcm

*


ELECTROCHEMICAL BEHAVIOR OF NICKEL FILMS IN DIFFERENT

ELECTROLYTE ENVIRONMENTS

ABDULCABBAR YAVUZa, NAIME OZDEMIRb, PERIHAN YILMAZ ERDOGANb, HUSEYIN

ZENGINb

aGAZIANTEP UNIVERSITY, ENGINEERING FACULTY, DEPARTMENT OF METALLURGICAL AND

MATERIALS ENGINEERING, GAZIANTEP, TURKEY

bGAZIANTEP UNIVERSITY, FACULTY OF SCIENCE AND LITERATURE DEPARTMENT OF CHEMISTRY,

GAZIANTEP, TURKEY

[email protected]

Abstract:

The nickel-based film was electrodeposited using the chronoamperometric method cathodically from ionic

liquid solution containing nickel chloride salts on the platinum flag working electrode. Electrochemical

performance of nickel electrodes was investigated by cyclic voltammetry technique. Electrodeposited nickel

films were transferred into acidic, neutral and alkaline electrolytes to understand their electrochemical

behaviour. After the oxidation step of the nickel film was carried out in the acidic electrolyte, the nickel-

based film separated from the platinum flag surface. The synthesized nickel film had the only oxidation step

in the neutral electrolyte. The Faradaic reaction took place in the alkaline electrolyte of nickel films

produced from the ionic liquid. Therefore, Ni-based films produced from ionic liquid electrolyte medium

containing nickel chloride on the platinum flag current collector could be suitable for use in stable

electrochemical applications.

Keywords: Nickel Film, Electrolyte, Electrochemical Performance, Supercapacitor

*


AMMONIA EMISSIONS FROM A BROILER HOUSE IN WINTER SEASON

ILKER KILICa

aBIOSYSTEMS ENGINEERING, AGRICULTURE FACULTY, BURSA ULUDAG UNIVERSITY, TURKEY

[email protected]

Abstract:

Broiler production is an important source for air pollutants emission from animal agriculture. The numbers

of broiler in Bursa region increase from 5.3 million hens to 5.8 million hens between 2016 and 2017.

Therefore air quality monitoring in poultry houses should be done to determine pollutant level of

atmosphere. The aim of this study is to determine the winter time emissions of ammonia (NH3) in a

commercial layer house in the Bursa region of western Turkey. In this study, NH3 concentrations and

indoor environmental conditions such as temperature, relative humidity was measured continuously for

four consecutive days in winter months. A multi gas monitor (MultiRAE lite, Honeywell, USA) was used for

NH3 concentrations measurements. The daily average exhaust NH3 emissions overall of study were

measured as 799 g/h.house . The maximum and minimum emissions were obtained second and first

measurement day as 1423 and 396 g/h.house.

Keywords: Broiler, Emission, Ammonia.

*


MODELLING OF ENVIRONMENTAL IMPACTS OF ANIMAL

OPERATIONS

ILKER KILICa

aBIOSYSTEMS ENGINEERING, AGRICULTURE FACULTY, BURSA ULUDAG UNIVERSITY, TURKEY

[email protected]

Abstract:

Livestock enterprises are a major source of polluting gases on a global scale such as ammonia (NH3),

methane (CH4), nitrogen oxides (NOx) and carbon dioxide (CO2). With the emission of these gases from its

structure, it can cause many environmental problems, especially global warming. The European Union

(EU) issued a total of 9079.1 Gg of greenhouse gas emissions from agriculture in 2011, while the share of

livestock production was 63%. Compared to the previous reporting period, greenhouse gas emissions from

agriculture decreased by about 4% in EU countries. Unlike industry, emissions from agriculture are not

limited to a few major sources and are spread across Europe. As a result, farms are very different from each

other, and individual approaches should be followed in the development of prevention strategies. Each

enterprise should apply the prevention strategy that is most appropriate to its structure. A holistic farm

approach allows for possible interactions with other greenhouse gases. The next step in the greenhouse

gases issue is to encourage dairy cattle owners to adapt to other environmental and social needs as well as

changing market conditions. This requires an integrated approach, where the holistic farm model is

essential.

The aim of this study is to provide a framework study for farm-level approach integrated with greenhouse

gases together with other environmental emissions. In this study, holistic farm greenhouse gas emission

models such as Dairywise, FarmGHG, SIMSDAIRY and FarmSim applied in various European countries were

examined and their potential application was discussed.

Keywords: Animal Operations, Emissions, Greenhouse Gases, Prevention Strategy, Holistic Farm Models

*


HARDNESS AND ELECTROCHEMICAL CORROSION BEHAVIOR OF

HEAT-TREATED HIGH CARBON STEEL

MUSA YILMAZa, KAAN KAPLANb, ABDULCABBAR YAVUZc, NECIP FAZIL YILMAZa,

METIN BEDIRb

aDEPARTMENT OF MECHANICAL ENGINEERING, FACULTY OF ENGINEERING, GAZIANTEP

UNIVERSITY, GAZIANTEP, TURKEY

bDEPARTMENT OF ENGINEERING PHYSICS, FACULTY OF ENGINEERING, GAZIANTEP UNIVERSITY,

GAZIANTEP, TURKEY

cDEPARTMENT OF METALLURGICAL AND MATERIALS ENGINEERING, FACULTY OF ENGINEERING,

GAZIANTEP UNIVERSITY, GAZIANTEP, TURKEY [email protected]

Abstract:

High carbon steel sheets were thermally oxidized at high temperatures (400, 600 and 800 ᵒC) in a furnace.

The surface of high-carbon steel was changed after heat treatment. Steps for preparing metallographic

specimen were not applied to the samples as mechanical and electrochemical characteristic of coatings

were analyzed depending on applied temperature. Surface characterization of annealed coatings in terms

of micro-hardness and corrosion resistivity has been studied. The hardness of heated samples was

investigated by means of micro-Vickers hardness tester. Linear sweep voltammetry of heated and non-

heated steels was tested in KOH and NaCl electrolyte to elucidate their corrosion responses by means of an

electrochemical workstation. The steel surface morphology was affected by the polarization of samples in

NaCl electrolytes. Surface hardness of high carbon steel annealed at 400 ᵒC was similar to that of non-

annealed steel (only 3% decreased). However, the hardness of high carbon steel decreased by 39% and 87%

after they were annealed at 600 ᵒC and 800 ᵒC, respectively. Corrosion current of high carbon steel was

increased after annealed at 400 ᵒC. However, corrosion resistivity of high carbon steel in NaCl media

increased significantly when they were annealed at 600 ᵒC and 800 ᵒC. The corrosion resistivity of annealed

high carbon steel in KOH media was generally more than in NaCl electrolyte.

Keywords: Annealing, Corrosion, Hardness, High-Carbon Steel, Linear Sweep Voltammetry,

*


EFFECT OF RASTER ANGLE ON MECHANICAL PROPERTIES OF 3D-

PRINTED POLYCARBONATE POLYMERS

NECIP FAZIL YILMAZa, MUSA YILMAZb, OMER EYERCIOOLUc

aGAZIANTEP UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF MECHANICAL

ENGINEERING, TURKEY

[email protected]

Abstract:

This paper studies the mechanical properties of polycarbonate (PC) specimens fabricated by fused

deposition modeling (FDM) process. Fused deposition modelling is rapidly growing 3D-printing technology.

However, printing materials are limited to polylactic acid (PLA) or acrylonitrile butadiene styrene (ABS) in

most FDM equipment. Here, information about polycarbonate material, which are a high-performance

engineering material to overcome these shortcomings, is provided.

Process parameters such as raster angle, raster width, layer thickness, air gap, build orientations, fill

pattern and model building temperature strongly affect the mechanical properties of products. The aim of

this study is to determine the effect of raster angle on the mechanical performance of samples

manufactured in 3D printer. Samples with different raster angle were built using PC polymer material in the

3D-printing system. Their tensile and hardness tests were carried out and compared with each other.

Keywords: Polycarbonate, Raster Angle, Fdm, 3d-Printing

*


A STUDY ON PRIORITIZATION OF HUMAN-BASED ERROR CAUSES IN

PRODUCTION PROCESSES

AYLIN ADEMa, METIN DAGDEVIRENa


[email protected]

Abstract:

In any production process, especially human-based errors are known to cause serious problems in terms of

time and costs in the later stages of projects. Investigating the factors that cause such serious

consequences and investigating the root causes are important in terms of maintaining the production

process in a healthy way and maintaining costs and firm prestige. When the causes of human-based errors

in the production process are investigated, observed reasons are given as follows: lack of training,

motivational reasons, the reasons related to the lack of attention of employees, working in the duties that

are not suitable for the person's ability level, using of inappropriate task schedules. Prioritization of these

reasons and determination of how the elimination efforts will be initiated will reduce the possible time loss

of the enterprise. Therefore, in this study, the prioritization of the causes of human errors is discussed. For

this prioritization process, due to the nature of the root causes of the errors, the use of fuzzy logic was

thought to lead to more accurate results and triangular fuzzy numbers were used to express the

uncertainty in the structure of the factors. Analytic Hierarchy Process approach based on binary

comparison logic was used for the prioritization process.

Keywords: Production Process, Human Error, Fuzzy Logic, Ahp

*


MATERIAL SELECTION UNDER HESITANT FUZZY ENVIRONMENT

AYLIN ADEMa, ALI COLAKb, METIN DAGDEVIRENa


bSOYUT WIND, TURKEY

[email protected]

Abstract:

The equipments, which maintain power generation from renewable energy resources such as solar panels

and wind turbines of which usage areas are rapidly wide-spreading and which are referred as nature-

friendly technologies, are still progressing technically and continuously being optimized with a new design –

manufacturing approaches. One of the problems faced during designing, manufacturing, and installation of

wind energy generating wind turbines, used to generate wind energy which has a very distinctive place

among renewable and green energy resources, is to determine which one of the systems, which shall

prevent icing on the blades during cold weather, should be used. This choice can be handled as a Multi-

Criteria Resolution Making problem, which includes multiple alternatives and requires multiple criteria to

be considered. A solution of using Hesitant Fuzzy AHP and VIKOR methods as a two staged integrated

system is recommended for selecting anti-icing systems. HF-AHP method is used during prioritizing

selection criteria of the anti-icing systems. HF-VIKOR method is used during the ordering stage of anti-icing

systems.

Keywords: Hf-Ahp, Hf-Vikor, Anti-Icing Systems, Green Energy

*


THE EFFECT OF REINFORCEMENT RATIO ON MECHANICAL

PROPERTIES OF AL 2024 MATRIX MGO+SIC REINFORCED HYBRID

COMPOSITES

MUHARREM PULa, SUKRAN KATMERb

aDEPARTMENT OF ELECTRICITY AND ENERGY, KIRIKKALE VOCATIONAL HIGH SCHOOL, KIRIKKALE

UNIVERSITY, TURKEY

bDEPARTMENT OF AIRCRAFT AIRFRAME ENGINE MAINTENANCE, CAPPADOCIA UNIVERSITY,

TURKEY

[email protected]

Abstract:

In today's rapidly developing technologies, the place and importance of composite materials is gradually

increasing and the studies carried out in these fields are continuing rapidly. While metal matrix composite

materials form part of these studies, especially the applications of ceramic particle reinforced aluminum

composites are expanding. Generally, different types and amounts of SiC, B4C, SiO2, Al2O3, TiC, MgO, TiB,

etc. are added into the aluminum alloys of different quality. ceramic reinforcement materials are added.

However, composite materials are generally produced by using a variety of these reinforcing materials and

are subject to scientific studies. In this experimental study; Two different ceramic-based reinforcing

materials, SiC and MgO, were mixed equally, and 3%, 6% and 12% reinforcements in 2024 quality aluminum

alloy were produced by hybrid composite materials by vortex method. Density, hardness, transverse

fracture and abrasive wear tests were performed by examining the microstructures of the composite

materials produced. According to the test results, the porosity in the composite structure increased and the

density values decreased due to the increasing reinforcement ratio. On the other hand, the hardness values

of the composites increased with increasing reinforcement ratio. However, their cross fracture and

abrasion resistance decreased. It was concluded that it is useful to try different production parameters in

order to obtain better mechanical properties in such composites produced by vortex method.

Keywords: Hybrid Composite, Microstructure, Mechanical Properties, AI 2024, Sic, Mgo

*


PREDICTION ON THE EFFECT OF GASH RAKE ANGLE ON THRUST

FORCE AND DRILLING MOMENT BY FUZZY LOGIC

YAFES CAVUSa, SUKRAN KATMERb, ISMAIL TEKAUTc, SECIL KURTd,

OMER FARUK BAYc,ULVI SEKERc

aERZINCAN BINALI YILDIRIM UNIVERSITY, TURKEY

bCAPPADOCIA UNIVERSITY, TURKEY

cGAZI UNIVERSITY, TURKEY dKARCAN CUTTING TOOL CO. , TURKEY

[email protected]

Abstract:

During drilling of AISI 4140 tempering steel with different gash rake angle, the effects of the gash rake angle

on the thrust force and drilling moment, which are called cutting loads, were predicted by fuzzy logic. The

data from monolithic solid carbide drill were used that has +10°, 0°, -10° gash angle and diameter with 6,8

mm in the experiments, which published previously. According to the experimental study, the gash rake

angle and the feed amount are the most effective parameters on the thrust force and the drilling moment.

A limited number of experimental studies were conducted to determine the relationship between drilling

parameters and cutting loads. However, obtaining the mathematical model that gives the thrust force and

the drilling moment values with respect to the gash rake angle and the feed amount is difficult to define

with high accuracy. Proposed fuzzy model consists of two input variables and two output variables. The

fuzzy model was constituted with the gash rake angle and the feed amount as independent parameters for

the thrust force and the drilling moment. The results showed that the proposed fuzzy model represented

experimental results with high confidence.

Keywords: Drilling, Drill, Gash Rake Angle, Thrust Force, Drilling Moment, Fuzzy Logic

*


A SCALABLE, SECURE AND INTEROPERABLE DESIGN FOR THE

INTERNET OF UNDERWATER THINGS

OMER FARUK BAYa, ALPER AVCIOGLUb


bINFORMATIC INSTUTUTE, GAZI UNIVERSITY, TURKEY

[email protected]

Abstract:

The Internet of Underwater Things (IoUT) emerged as a new Internet of Things class (IoT) and is defined as

the network of interconnected intelligent underwater things. Nowadays, IoUT is thought to play an

important role in the developing smart city concept; environmental monitoring, underwater exploration,

disaster prevention and military use. Using Underwater Wireless Sensor Networks (UWSN) is the basis of

IoUT. In this paper, a detailed study on the importance of the IoUT and its application areas is presented. In

order to setup the system architecture using the IoUT, the differences between general network structures,

Underwater Wireless Sensor Networks and Terrestrial Wireless Sensor Networks (TWSN) have been

examined and difficulties / potential problems with IoUT communication are detailed. Finally, the aim of

this study is to design a scalable, safe interoperable system for the use of IouT in the military field and to

provide a roadmap for this purpose.

Keywords: Internet Of Things, Internet Of Underwater Things, Wireless Sensor Networks

*


AN APPLICATION FOR WEB BROWSER CONTROL WITH VOICE

COMMANDS

EMRE AVUCLUa, SAKIR TASDEMIRb

aAKSARAY UNIVERSITY, TURKEY

bSELCUK UNIVERSITY, TURKEY

[email protected]

Abstract:

Technology is now in every area of our lives. Today, it is possible to encounter many applications with voice

command recognition technology. Without technology, it is no longer possible to run some applications. In

this study, an application was developed using voice recognition technology. The developed application is

also possible to manage the voice commands of the web browser without keyboard and mouse. This

application has been developed for users who cannot use keyboard and mouse for any reason. The purpose

of the application is to actively manage the web browser with voice commands and to meet the need for

internet. The Speech.dll library was used to check the voice commands. The application was developed in C

# programming language.

Keywords: Voice Recognition, Web Browser, Computer Programming

*Selcuk University


FULLY AUTOMATIC ROI DETECTION FOR BREAST MR IMAGES

SEVDA GULa, FULDEM MUTLUa, GOKCEN CETİNELa

aSAKARYA UNIVERSTY, TURKEY

[email protected]

Abstract:

Breast region detection is the pioneering step of breast cancer diagnosis researches performed via image

processing techniques. The performance of computer-aided breast cancer diagnosis systems can be

improved by exactly determining the region of interest (ROI).

In this study, the target is to determine an ROI for breast MR images, in which one or more lesion can

appear. The proposed ROI detection system is fully automatic and it utilizes several image processing

techniques. At first, the local adaptive thresholding (LAT) technique is applied to the noise-filtered grey

level breast magnetic resonance (MR) images taken with legal permissions from Sakarya Education and

Research Hospital. After adaptive thresholding, connected component analysis (CCA) is performed to

exclude extra structures around the breast region as thorax area. This analysis selects the largest area in

the binary image which corresponds to a gyrate region including breast area and lymph nodes over the

backbone. Then, the integral of horizontal projection is calculated to determine an optimum horizontal line

that allows setting the ROI apart.Finally, a masking operation is applied to get corresponding right and left

breast regions in the original MR image.

To evaluate the performance of the proposed study, the results of automatic ROI detection are compared

with the manual ROI selection performed by an expert radiologist. Dice similarity coefficient (DSC) and

Jaccard coefficient (JC) are used as performance criteria. According to the results, the proposed system can

detect RIO for computer-aided breast cancer diagnosis researches, exactly.

Keywords: Breast Cancer, Magnetic Resonance Imaging, Local Adaptive Thresholding, Connected

Component Analysis, Region Of Interest.

*


PARKINSON’S DISEASE DETECTION BY USING VOICE RECORDINGS

GOKCEN CETINELa, ALHASAN ALKHATIBa, ELIF DAROLa

aSAKARYA UNIVERSTY, TURKEY

[email protected]

Abstract:

Parkinson is a disease (PD) that occurs with the loss of brain cells which are generating Dopamine. The most

important primary motor symptoms of Parkinson’s disease are shaking of hands, arms, legs, chin and face,

slowness of movement, and speech changes. Sound changes are not recognized at the early stages of the

disease while it becomes evident at the progressive stages. However, speech changes can be detected with

some acoustic parameters. This study aims to detect Parkinson’s disease by using voice recordings.

In this study, 342 voice recordings that consist of 174 healthy and 168 Parkinson’s subjects’ recordings

are taken. 21 features are extracted from each voice record. The classification of subjects as healthy or

Parkinson’s patient is achieved by using logistic regression, k-nearest neighboring and ensemble gentle

boost techniques. Furthermore, ten-fold and leave-one-out cross validation techniques are applied to

improve the performance and reliability of each classifier. Sensitivity, specificity, maximum and average

accuracy values are calculated to evaluate the success of the system. The obtained results show that the

proposed system using voice recordings can be experimented by the neurologists to diagnose Parkinson’s

disease at its early stages.

Keywords: Parkinson’s Disease, Jitter, Shimmer, Pitch, Logistic Regression, Weighted K-Nearest

Neighborhood, Ensemble Gentle Boost.

*


CLASSIFICATION OF WALNUT USING IMAGE PROCESSING AND

FUZZY INFERENCE METHOD

ILKER ALI OZKANa, MURAT KOKLUa

aFACULTY OF TECHNOLOGY, DEPARTMENT OF COMPUTER ENGINEERING, TURKEY

[email protected]

Abstract:

Classification of agricultural products has an important place in the economic, production and marketing of

agricultural products. The classification of products is of great importance for quality control. Image

processing techniques are widely used in today's classification machines. In this study, it is aimed to classify

walnut with image processing techniques and fuzzy extraction method. Firstly, three different walnut

species were subjected to the herbaceous method and morphological processes and segmentation and

feature extraction were performed. Then, a fuzzy logic classifier is created which can perform the

classification process based on these attributes. Wang-Mendel method was used to determine fuzzy rules.

MATLAB software was used for image processing and a fuzzy inference method. In addition, the

classification success of the obtained classifier is examined.

Keywords: Walnut Classification, Image Processing, Fuzzy Inference

*


ENVIRONMENTAL SOUND CLASSIFICATION USING AUDIO SIGNAL

PROCESSING AND K-NEAREST NEIGHBOR METHOD

ILKER ALI OZKANa

aFACULTY OF TECHNOLOGY, DEPARTMENT OF COMPUTER ENGINEERING, TURKEY

[email protected]

Abstract:

Analyzing the data that can be obtained from environmental sounds enables us to obtain a lot of valuable

information about objects and events in our environment. In recent years there has been increasing

interest in the classification of environmental sounds. In this study, it is aimed to develop a classification

model by using ESC-10 dataset containing ten different categories of environmental sound recordings. The

dataset was preprocessed and pitch and Mel Frequency Cepstrum Coefficients (MFCC) values were

obtained and feature extraction was performed.

A classification model was developed on the extracted features by using the k-nearest neighbor method.

The obtained model was evaluated with performance criterias and compared with similar studies in the

literature. This model providing an accuracy performance that close to human classification success.

Keywords: Knn Algorithm, Environmental Sound Classification, Signal Process, ESC-10 Dataset

*


COMPARATIVE STUDY ON THE RECYCLING OF MACHINING CHIPS

FROM STEEL PARTS AND STANDARDIZED FIBERS IN THE

REINFORCEMENT OF THE CEMENT MATRIX

BOUZEROURA MANSOURa

aBEJAIA UNIVERSITY, ALGERIA

[email protected]

Abstract:

This work joins in the context of the recovery of waste production "chips" of steel parts that are found in

the industry, cementitious matrix is a means for recycling this type of materials, and indeed these chips

play the role of corrugated metal fibers. The presence of these chips in a cement matrix they used, to give

the resulting composite ductile behavior and limit the distribution of cracks beneath the effect of sewing

and energy absorption. Experimental study was conducted on mortar for both fiber types (standard and

chips) to 03 dosages of fiber (5%, 10% and 15%). The results show that the chips can be recycled in the

cement matrix as reinforcement.

Keywords: Fibers Corrugated (Chips); Standard Fiber; Friction; Recycled

*This study is supported by Scientific Activities Support Program of LGCA Laboratory


LINEAR AND NONLINEAR OPTICAL PROPERTIES OF A QUANTUM

WELL WITH TRIGONOMETRIC CONFINEMENT POTENTIAL

FATIH UNGANa

aSIVAS CUMHURIYET UNIVERSITY, TURKEY

[email protected]

Abstract:

In the present work, a detailed investigation of the influence of external perturbations, in particular intense

terahertz radiation, static electric and magnetic fields on the electron-related optical responses such as

total optical absorption coefficients and relative refractive index changes for a quantumwell with the

square tangent potential is presented. The subband energy levels and their corresponding wave functions

are obtained by solving the one-electron Hamiltonian

of the system under the framework of the effective-mass and parabolic band approximations. Optical

coefficients are reported for varying incident photon energies. The numerical results show that the optical

response is shifted towards the blue with the increase in the magnitude of the applied external fields.

These results can provide an input for use in optoelectronic device applications.

Keywords: Square Tangent Quantum Well, Nonlinear Optical Response, Intense Laser Field, Electric And

Magnetic Fields

*The authors are grateful to The Scientific Research Project Fund of SivaCumhuriyet University under the project

number TEKNO-027


THE EFFECT OF SOLID LUBRICANTS ON THE TRIBOLOGICAL

PROPERTIES OF POLYOXYMETHYLENE

SAMET YALIMa, OZGE POLATa, NIHAN OGUTMENa, MERT KAHRAMANa, SALIH

HAKAN YETGINa, AGAH AYGAHOGLUa

aKUTAHYA DUMLUPINAR UNIVERSITY, SIMAV TECHNOLOGY FACULTY, DEPARTMENT OF

MANUFACTURING ENGINEERING

[email protected]

Abstract:

In this study, wear and friction behaviors of unfilled polyoxymethylene (POM) polymer, 20wt% carbon black

filled POM (POM-20KS), 25wt% polytetrafluorethylene filled POM (POM-25PTFE) and 20wt% graphite filled

POM (POM-20Gr) composites were examined. Tribological tests were carried out under dry conditions

using a pin-disc device under a sliding speed of 0.4-1.2 m/s and a load of 10-30 N. As a result of the study, it

was determined that friction coefficient decreased with increasing load while increased with sliding speed.

PTFE solid lubricants were the best choice for improving both friction and wear behaviors of POM polymer

due to the lower friction coefficient and mass wear rate.

Keywords: POM, Graphite, Carbon Black, PTFE, Wear, Coefficient Of Friction.

*


NOVEL SMALL MOLECULES FOR ORGANIC SOLAR CELL

APPLICATIONS

CIGDEM YORUR GORECIa, MEHMET KAZICIb, SINEM BOZARc, SINEM NILISAZc,

HAMED MOEINI ALISHAHc, SERAP GUNESc

aDEPARTMENT OF CHEMISTRY, YILDIZ TECHNICAL UNIVERSITY, FACULTY OF ARTS AND SCIENCE,

ISTANBUL, TURKEY

bDEPARTMENT OF PHYSICS, SIIRT UNIVERSITY, FACULTY OF ARTS AND SCIENCE, SIIRT, TURKEY

cDEPARTMENT OF PHYSICS, YILDIZ TECHNICAL UNIVERSITY, FACULTY OF ARTS AND SCIENCE,

ISTANBUL, TURKEY [email protected]

Abstract:

As a prospective renewable energy resource, bulk heterojunction organic solar cells (BHJ-OSCs) have

afforded significant improvements in the field of organic solar cells over the past few years. The small

molecules (SM) have many advantages such as defined molecular structures, easy purification, low mass,

flexibility and cost effectiveness. When SM are compared to polymers, SM allow the structure-property-

device relationship to be more easily established and investigated. Owing to all these advantages, SM in

many different structures have been synthesized with increasing variety in recent years [1].

In the present work, we synthesized ten novel acrylonitrile molecules having different aromatic cores

(substituted phenyl or thiophene rings) for organic solar cell applications. All synthesized compounds were

characterized using different spectroscopic techniques (UV-Vis, FTIR, 1H NMR, 13C NMR, LC-MS). We have

fabricated inverted type organic solar cells with ITO/ZnO/Active layer/MoO3/Ag and ITO/TiO2/Active

layer/PEDOT:IPA/Ag device configurations and employed novel small molecules in the active layers. The

current-voltage characteristics of all devices were investigated. We compared device performances with

respect to the molecular structure differences.

Acknowledgement: This work is supported by The Scientific and Technological Research Council of Turkey

(Project number: TUBITAK-117F079).

Keywords: Solar Cells, Small Molecules, Acrylonitriles

*This work is supported by The Scientific and Technological Research Council of Turkey (Project number: TUBITAK-

117F079).


SYNTHESIS, STRUCTURAL CHARACTERIZATION AND

ELECTROCHEMICAL PROPERTIES OF A NEW RUTHENIUM(II)

COMPLEX CONTAINING BIPYRIDINE LIGAND

S. DEMET KILINCARSLANa, CIGDEM SAHINa

aPAMUKKALE UNIVERSITY, ART&SCIENCE FACULTY, DEPARTMENT OF CHEMISTRY, DENIZLI,

TURKEY

[email protected]

Abstract:

Ruthenium complexes gain great interest due to stability and structural novelty in catalyst, dye sensitizied

solar cells (DSSCs), organic light-emitting diodes (OLEDs) and biosensor applications [1]. Ruthenium has

various oxidation states (from 0 to 8). The electronic and electrochemical properties of ruthenium

complexes easily change depending on ligands.

In this work, a new ruthenium(II) complex containing bipyridine ligand with alkyl side group [RuCl2(p-

cymene)L] (L: Bipyridine derivative) was synthesized and characterized by using FTIR, NMR, UV/Vis,

fluorescence spectroscopies. The absorption spectra of the complex were obtained in different solvents.

The electrochemical properties of the complex was investigated by cyclic voltammetry. The photophysical

and electrocemical properties of the complex suggest that the molecule is a potential candidate for

biosensor and OLED applications.References

Keywords: Ruthenium Complex, Bipyridine, Electrochemical Properties

*This work have been supported by the Scientific Research Projects Unit of Pamukkale University (Project Number:

2019FEBE027).


INFLUENCE OF PROCESS PARAMETERS IN PRODUCTION OF RESIN

FILM ON KEVLAR FABRIC PREPREG

BILJANA KOSTADINOSKAa, SVETLANA RISTESKAa, BLAGOJA SAMAKOSKIa, SAMOIL

SAMAKb, NIKOLCE ROMEVSKIb

aINSTITUTE FOR ADVANCED COMPOSITES AND ROBOTICS, MACEDONIA

dMIKROSAM AD, MACEDONIA [email protected]

Abstract:

The optimization of parameters for the Impregnation process in order to produce high-quality prepregs

with high impregnation quality is challenging. The purpose of the study is to access the applicability of full

factorial experimental design 23 in predicting properties of polymer composite prepregs. This paper

presents an experimental study of the impregnation of aramid cloth with thermosetting resin matrix.

Experiments (DoE) method is used to create quality prepreg and to find optimized input parameters for this

technology. The major benefits gained of the current study are that the thickness of film is an important

parameter, which has a prominent effect on the final product. A model is developed to describe the resin

content as functions from thickness film, temperature and impregnation velocity in horizontal impregnating

process. Results are obtained methodically through the separation of variables.

The methods and results presented in this paper offer a valuable insight of how to measure the

quality and how to use this information for the optimization of Impregnation processes Experimental

studies were performed with changing parameters – temperature, thickness of film and speed. Finally, it

describes the content of resin inside of the composites. The resin content is controlled by a combination

of the thickness resin film, the impregnation velocity and the oven temperature. These properties are good

enough for aramid fabric prepreg to be used as engineering materials in many structural applications.

Keywords: Impregnation Velocity, Thickness Resin Film, Temperature, Fabric Prepreg

*


USE OF INFORMATION TECHNOLOGIES FOR CALCULATION OF

MULTI RISK IN THE MUNICIPALITY OF KNJAZEVAC, SERBIA

MARTINA PETKOVICa, IVAN GAVRANOVb, BILJANA NIKOLICa, DRAGAN KNEZEVICc,

LIDIJA MILOŠEVIĆd

aHIGHER TECHNICAL PROFESSIONAL SCHOOL IN ZVEČAN, KOSOVO SERBIA

bULSIT, SOFIA, BULGARIA

aHIGHER TECHNICAL PROFESSIONAL SCHOOL IN ZVEČAN, KOSOVO SERBIA cLOGOS CENTAR MOSTRA, BOSNIA AND HERZEGOVINA

dUNIVERSITY OF NIS, FACULTY OF OCCUPATIONAL SAFETY IN NIS, SERBIA [email protected]

Abstract:

Analysis of natural risks in mountainous regions includes several typical natural processes such as snow

avalanches, floods, earthquakes, and different types of landslides. Separate investigations of single

processes only might lead to a wrong estimation of the general natural risks for these areas. To avoid this

trap, natural risk assessments should not focus on a singular process but on multiple processes. Within this

study a general methodology is developed to analyse natural risk for multiple processes. The method is

applied in Knjaževac, Serbia. In particular forest fire, flood and debris flows pose a hazard to the sity of

34000 inhabitants. The natural risk calculation is a function based on the input parameters hazard,

vulnerability, probability of the spatial impact, probability of the temporal impact, probability of the

seasonal occurrence and damage potential. First, the risk posed by each process is calculated. Results are

presented as individual risk and object risk to life, and as economic risk for each process. Finally, single

process risk maps are combined into multi-hazard risk maps. For risk assessment, we can use information

systems to facilitate evaluation, which work and shows.

Keywords: Risk Assessment, Information Technologies, Forest Fire, Flood

*


ANALYSIS OF THE FIRE RISK IN THE FLOTATION PLANT

BILJANA NIKOLICa, MARTINA PETKOVIĆa, DRAGAN KNEŽEVIĆb, MARIJOLA

BOŽOVIĆa, e,f,g,h



bLOGOS CENTAR, MOSTAR, BOSNIA AND HERZEGOVINA aHIGHER TECHNICAL PROFESSIONAL SCHOOL IN ZVEČAN, KOSOVO SERBIA

[email protected]

Abstract:

The most effective way of reducing the consequences of a fire, if they can not completely avoid it, is to take

preventive measures, after which measures are taken in the field of organization of fire protection in the

premises of the enterprise, in order to carry out successful evacuation of people, material values and quick

report, localization and fire extinguishing. The prevention of fire protection is ensured by planning and

implementing preventive measures and actions in order to prevent the outbreak of fire as efficiently as

possible, and in the event of a fire, the risk to human life and health and material and material endangering

as well as environmental damage are reduced to the minimum and it limits the fire at the place of the

outbreak. The paper presents the fire protection measures in the flotation plants, as well as the risk

assessment in these plants.

Keywords: Risk Assessment, The Flotation Plants, The Fire Protection Measures

*


NOVEL TECHNIQUE FOR EMBEDING OF SILVER NANOPARTICLES

INTO POLYMERS: POROMISSING PLATFORMS FOR CATALYSIS

JAKUB SIEGELa, MARKÉTA KAIMLOVÁa, VÁCLAV ŠVORČÍKa

aUNIVERSITY OF CHEMISTRY AND TECHNOLOGY PRAGUE, CZECH REPUBLIC

[email protected]

Abstract:

This contribution aims to novel technique of immobilization of silver nanoparticles (AgNPs) to polymer

surface (PET) based on the action of polarized light from pulsed excimer laser. Immobilization of

nanoparticles on the surface of soft polymers belongs to current challenges of materials science owing to

high application potential of resulting structures in e.g. catalysis or antimicrobial treatment. Compared to

conventionally used techniques proposed approach enables to tailor specific surface area of polymers

during the immobilization process, thus providing a large surface area of active component (AgNPs).

Successful immobilization was verified by broad spectrum of advanced analytical methods such as scanning

electron microscopy with field emission gun (FEG-SEM), transmission electron microscopy (TEM), energy

dispersive X-ray spectroscopy (EDS), atomic force microscopy (AFM), and X-ray photoelectron spectroscopy

(XPS). The depth profile of the silver in polymer layer was studied by Rutherford back scattering (RBS). PET

foil with immobilized nanoparticles was also investigated for particle release by inductively coupled plasma

equiped with mass spectroscopy detector (ICP-MS). RBS together with ICP-MS proofed that AgNPs were

firmly immobilized in the thin (tens of nm) PET layer which prevented their release into water environment

even after vigorous sample sonication. Thus, our laser-implanted nanoparticles are believed to open up

new possibilities in the development of the next generation of catalyst platforms or cell-conform

antimicrobial coatings of polymeric materials.

Keywords: Polyethyleneterephthalate, Laser, Silver Nanoparticles, Immobilization, Surface Characterization

*Authors are thankful to financial support of this research from the GACR project No. 18-07619S.


SINFOBOT: SPOKEN INFOBOT FOR RESTAURANT SEARCHING

RAMAZAN GOKAYa, HULYA YALCINb

aTUBITAK BILGEM, TURKEY

bISTANBUL TECHNICAL UNIVERSITY, TURKEY

[email protected]

Abstract:

In recent decades, the artificial intelligence and machine learning applications have become quite

important in human life. While machine learning and deep learning methods are become widespread in

speech and language technologies, the human-machine interaction meets with new level. People can

communicate with machines as if they were communicating with people. In this study, an implementation

of this new human-machine interaction is illustrated through SINFOBOT which is a spoken information

system for restaurant searching domain. SINFOBOT aims to provide easiness and time-saving for people.

Since the speech is the most natural communication way of people, SINFOBOT has speech interface. Hence,

the user does not have to deal with learning new technology, request writing or menu clicking unlike

conventional information systems.

SINFOBOT is modelled as closed-domain spoken dialogue system. Firstly, the user speech utterance is

transcribed by using automatic speech recognition (ASR) module. After that, transcribed utterance is

interpreted and the proper response is generated through goal oriented bot (GOB) module. GOB module is

a hybrid structure which includes recurrent neural networks (RNNs), templates and databases. Finally, the

system response is vocalized by text to speech (TTS) module.

In this study, a spoken information system was developed for restaurant searching domain in English.

However, SINFOBOT has modular and reconfigurable structure. Within reconfigurable ability, it can be

adapted to new domains or new languages.

Keywords: Automatic Speech Recognition, Goal Oriented Bot, Text To Speech

*


CNN BASED SMART SECURITY CAMERA APPLICATION ON ARM

LINUX

OSMAN DEMIRCIa, GOKHAN KAYHANa

aONDOKUZ MAYIS UNIVERSITY, TURKEY

[email protected]

Abstract:

M2M and IoT technologies are fast developing technologies. In the study, a system was designed that

transmitted moving images taken via the camera attached to the Raspberryi Pi 3, which features a mini-

computer, in real time with clients via the web browser, allowing the client to simultaneously monitor the

location it was viewing. The aim of the system is to find faces to control a remote region using deep

learning methods and to report negative situations in real time as a result of the recognition process. The

designed system qualifies as a smart security camera. The application system is designed as 2 layers of

hardware and software. The hardware layer includes the Raspberry Pi3 and Pi Camera module. The

software layer includes the Raspian-Lite ARM Linux operating system, which offers the highest performance

in the hardware resources criterion, and the application software being developed. Application software

has been developed to detect and inform those responsible for unauthorized interference with public

service vehicles such as ATMs, electricity boards, etc. The software attempts to detect the human face from

the image taken from the camera in the environment where the system is installed. If it detects the human

face, it performs DNN-based facial recognition. If the identified person is indifferent to the system's

MongoDB database, he / she sends an electronic mail notification to the responsible person. The user

monitors the environment in real time from any environment located in the standard web browser.

Keywords: Raspberry Pi, Websoket, Nodejs, Linux, Opencv, DNN, CNN, IOT, M2M, Mongodb

*


CLASSIFYING CODE COMMENTS USAGE IN ANDROID APPLICATION

DEVELOPMENT

LAMA MUSTAFA SUBLABANa

aBIRZEIT UNIVERSITY, PALESTINE

[email protected]

Abstract:

Code commenting is a practice of documentation that was always used by developers for reflecting their

intention and assumptions of the code itself for them to enhance their code readability and make the code

maintainable and reusable for others and themselves. However, as most of the research papers that we

studied for this research, we found out that this practice was always neglected and not used by

programmers to its maximum potential and this results in releasing apps that are difficult to understand by

other programmers and not easily maintainable in the future. The difficulties of writing good code

comments arise because code comments are different from source code since they cannot be tested, also,

code comments are written in natural language which makes it hard to track them down and study their

use. Therefore, this paper takes the preliminary initiative to study the usage of in code comments in 24

android applications, analyse them via automation tool made specifically for this research according to

their redundancy to different categorizations, and validate their benefits and feasibility in the code

understanding and maintainability level of the app. The results of this research paper proved that although

code commenting documentation practice was reported in previous researches to be ignored or avoided by

programmers and their companies but the code comments blocks presented in our app research samples

were well used in explaining the code and raising its readability to other developers which reflects directly

to the ease of the applications maintainability.

Keywords: Android Applications, Documentation, Code Comments, Classifications, Taxonomy, Automated,

Source Code.

*This study is supported by The Scientific Research Committee at Birzeit University


THE FUTURE OF HEALTH INFORMATICS - GRAND CHALLENGES AND

EMERGING TECHNOLOGIES

MUHAMMAD JAWAD HASHIMa

aUNITED ARAB EMIRATES UNIVERSITY, UNITED ARAB EMIRATES

[email protected]

Abstract:

Health informatics is undergoing accelerated development with the increasing use of electronic health

record systems globally. However, this rapid change poses a problem for healthcare leaders in strategic

planning and technology implementation.

1. To study the current challenges in health informatics within existing frameworks

2. To evaluate emerging biomedical technologies that could revolutionize healthcare

We conducted a detailed and integrative review of the research literature on health informatics with a

focus on current challenges and predicted trends. We searched multiple research databases including

PubMed MEDLINE and Google Scholar with the keywords “health informatics future” using the best match

sort order. Articles were reviewed for relevance and validity based on empirical data.

We found five major trends in health informatics that can impact its future. These include interoperability

and data standards, security and privacy, big data and predictive analytics, and clinical decision support for

patient safety and better health outcomes. Underpinning these themes are new and emerging technologies

such as artificial intelligence and machine learning, wireless data exchange, biometrics, image processing

and robotics. However, several challenges have surfaced in the field of health informatics: rising costs,

privacy breaches, lack of evidence for technology effectiveness, increased time demands on healthcare

workers, digital divide, and poor usability.

Health informatics is rapidly advancing the delivery of medical care worldwide by promising efficiency,

guided decision making and improved patient safety but faces several implementation challenges. Careful

evaluation of technology effectiveness is need to guide future investment decisions.

Keywords: Health informatics, medical informatics, electronic health records, clinical decision support

* Internal support by UAE University


DESIGN OF A MULTIPURPOSE ENERGY EFFICIENT CONTINUOUS

LINEAR LUMINAIRE EQUIPPED WITH TUNABLE WHITE TECHNOLOGY

FOR SUPERMARKET LIGHTING

ERDEM DURULa, CENK YAVUZb

aARLIGHT A.S., TURKEY

bSAKARYA UNIVERSITY, TURKEY

[email protected]

Abstract:

There are plenty of studies indicating the positive effects of using appropriate light in presentation of

products sold in supermarkets in terms of increased amount of purchases. This proves the importance of

using best compatible light and equipment in the sector. EN12464-1 standard defines the requirements

should be taken care of for interior lighting of workplaces. According to this standard, illuminance levels,

discomfort glare, color rendering index should be investigated and lighting installation have to be designed

in accordance.

Talking in general supermarket owners are in search of a multipurpose lighting system which can handle

both visual performance to boost the sales and consumes less energy serving as a focus lighting product

but also realizing general and emergency lighting duties at the same time. Such a request forces lighting

suppliers to design a modular equipment that can meet numerous demands in just one structure.

Being aware of those requests this study presents the results of a TUBITAK project(2017-2019). A luminaire

with Led light sources has an advanced optic design (efficiency>92%) which is capable of making focus

lighting and general lighting at the same time is developed. Furthermore it has different capabilities as

dimming, emergency lighting, low maintenance costs, being user friendly and tunable white technology

which allows interior placement changes in supermarkets and helps both to customers and workers in a

good way in terms of visual and psychological performance. This design will help the supermarkets both to

reduce the energy bills but also create a better interior atmosphere.

Keywords: Supermarket lighting, Linear lighting, Optics design, Energy efficiency.

* This Study is Supported by TUBITAK (The Scientific and Technological Research Council of Turkey)

ICAT'198TH INTERNATIONAL CONFERENCE

ON ADVANCED TECHNOLOGIES

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