International Conference on Advanced - icatsconf.org · International Conference on Advanced ... Almoataz Youssef Abdelaziz, Egypt Amar Ramdane Cherif, ... THROUGH JASON AND RMI 31

International Conference on Advanced

Technology & Sciences

4th International Conference, ICAT’Rome

Rome, Italy, November 23-25, 2016

Abstracts

Editors

Ismail SARITAS

Omer Faruk BAY

Kemal TUTUNCU

International Conference on Advanced Technology & Sciences, ICAT’ROME

4th International Conference on Advanced Technology & Sciences


ii International Conference on Advanced Technology & Sciences (ICAT’Rome)


International Conference on Advanced

Technology & Sciences

4th International Conference, ICAT’Rome


Abstracts

Editors

Ismail SARITAS

Omer Faruk BAY

Kemal TUTUNCU

E-ISBN: 978-605-9119-77-1

Aybil Yayınevi Sertifika No: 31790

www.aybilonline.com

Aybil Dijital Baskı Reklam Mühendislik

Turizm Sanayi ve Ticaret Limited Şirketi

Ferhuniye Mh. Sultanşah Cd. No:30/A KONYA

Tel: 0.332 350 21 71 Fax: 0.332 350 71 21

ARALIK – 2016

International Conference on Advanced Technology & Sciences (ICAT’Rome) iii


EDITORS :

Ismail SARITAS

Selcuk University, Turkey

Depertmant of Electric-Electronic Engineering, Faculty of Technology

Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]

Omer Faruk BAY,

Gazi University, Turkey

Depertmant of Electronic - Computer Education

Teknikokullar, 06500, Ankara, Turkey

e-mail: [email protected]

Kemal TUTUNCU


Depertmant of Electric-Electronic Engineering, Faculty of Technology


ASSISTANT EDITORS :

Ilker Ali OZKAN


Depertmant of Computer Engineering, Faculty of Technology


Murat KOKLU


Depertmant of Computer Engineering, Faculty of Technology


Ali YASAR


Guneysinir Vocational School of Higher Education,

Computer Programming, Konya, Turkey [email protected]

iv International Conference on Advanced Technology & Sciences (ICAT’Rome)


International Conference on Advanced Technology & Sciences (ICAT’Rome) v


PREFACE

International Conference on Advanced Technology & Sciences (ICAT'Rome)

has been organized in Rome, Italy on 23-25 November, 2016.

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

scientists related to all sub-disciplines of Electrical Engineering. This conference

provides opportunities for the different areas delegates to exchange new ideas and

application experiences face to face, to establish business or research relations and to

find global partners for future collaboration.

We hope that the conference results provides significant contribution to the

knowledge in this scientific field. The organizing committee of conference is pleased to

invite prospective authors to submit their original manuscripts to ICAT'Rome.

All paper submissions will be double-blind and peer-reviewed and evaluated

based on originality, technical and/or research content/depth, correctness, relevance to

conference, contributions, and readability. All full paper submissions have been double

blind and peer reviewed and evaluated based on originality, technical and/or research

content/depth, correctness, relevance to conference, contributions, and readability.

Selected papers presented in the conference that match with the topics of the journals

will be published in the following journals:

International Journal of Intelligent Systems and Applications in Engineering

(IJISAE)

International Journal of Applied Mathematics, Electronics and Computers

(IJAMEC)

International Journal of Energy Applications and technology (IJEAT)

At this conference, there are 165 paper submissions from 65 different

universities. Each paper proposal was evaluated by two. And finally, 83 papers will be

presented at our conference.

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

University; Advanced Technology and Sciences, Academic Publisher; International

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

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

Organization. They have made a crucial contribution towards the success of this

conference. Our thanks also go to the colleagues in our conference office.

Looking forward to see you in next ICAT.

Ismail SARITAS - Omer Faruk BAY

Kemal TUTUNCU

Editors

vi International Conference on Advanced Technology & Sciences (ICAT’Rome)


PROGRAMME COMMITTEES

HONORARY CHAIR :

Mustafa Sahin, Turkey

GENERAL CHAIR :

Ismail Saritas, Turkey

CO-CHAIR :

Omer Faruk Bay, Turkey

Kemal Tutuncu, Turkey

Domenico Tegolo, Italy

Marco Porta, Italy

Ilker Ali Ozkan, Turkey

Murat Koklu, Turkey

PUBLICATION CHAIR : Mehmet Akif Sahman, Turkey

Ali Yasar, Turkey

Mustafa Buber, Turkey

INTERNATIONAL ADVISORY BOARD

Abdullah Erdal Tumer, Turkey

Alexander Sudnitson, Estonia

Ali Yasar, Turkey

Ali Yazici, Turkey

Alla Anohina Naumeca, Latvia

Almoataz Youssef Abdelaziz, Egypt

Amar Ramdane Cherif, France

Anand Kumar, India

Anca Loana Andreescu, Bulgaria

Angel Smrikarov, Bulgaria

Anne Villems, Estonia

Antonella Reitano, Italy

Antonio Mendes, Portugal

Artan Luma, Macedonia

Asrun Matthiasdottir, Iceland

Biagio Lenzitti, Italy

Binod Kumar, India

Boris Akanaev, Kazakhstan

Burhan Turksen, Turkey

Cemil Sungur, Turkey

Cesare Valenti, Italy

D S Hooda, India

Desislava Paneva Marinova, Bulgaria

Dimitris Dranidis, Greece


Eisha Akanksha, India

Elinda Kajo Mece, Romania

Fecir Duran, Turkey

Gabriel Luna Sandoval, Mexico

Gabriel Luna Sandoval, Mexico

Heinz Dietrich Wuttke, Germany

Hidayet Oguz, Turkey

Hilda Tellioglu, Austria

Howard Duncan, Ireland

Huse Fatkic, Bosnia-Herzegovina


International Conference on Advanced Technology & Sciences (ICAT’Rome) vii


Inan Guler, Turkey

Irina Noninska, Bulgaria


Ivan Jelinek, Czech Republic

Jan Vom Brocke, Liechtenstein

Janis Grundspenkis, Latvia

Janusz Jablonowski, Poland

Jiri Srba, Denmark

Kadir Sabanci, Turkey

Karl Jones, Great Britain


Laurentiu Cristian Deaconu, Romania

Leon Rothkrantz, Netherlands

Levent Aydin, Turkey

Lilia Georgieva, Great Britain

Luca Lombardi, Italy

Mahdi Shahbakhti, United States

Majida Ali Abed Meshari, Iraq

Manik Sharma, India

Marco Porta, Italy

Markus Helfert, Ireland

Mehmet Cunkas, Turkey

Mehmet Akif Sahman, Turkey

Mehmet Rahmi Canal, Turkey

Mehmet Turan Demirci, Turkey

Michail Antchev, Bulgaria

Mirjana Ivanovic, Serbia

Muciz Ozcan, Turkey

Muhammad Zia Ur Rehman, Pakistan

Murat Ciniviz, Turkey

Murat Barut, Turkey

Murat Koklu, Turkey


Mustafa Altin, Turkey

Mustafa Alci, Turkey

Natasa Hoic Bozic, Croatia

Novruz Allahverdi, Turkey

Onur Inan, Turkey

Pantha Ghosal, Australia

Pino Caballero Gil, Spain

Polyxeni Arapi, Greece

Raif Bayir, Turkey

Ridvan Saracoglu, Turkey

Rositsa Doneva, Bulgaria

Saadetdin Herdem, Turkey

Sakir Tasdemir, Turkey

Silyan Sibinov Arsov, Bulgaria

Simona Silvia Merola, Italy

Stavros Christodoulakis, Greece

Stavros Nikolopoulos, Greece

Tatjana Dulinskiene, Lithuania

Teresa Parra, Spain

Thomas Engel, Luxembourg

Valentina Dagiene, Lithuania

Virginio Cantoni, Italy

Wladimir Bodrow, Germany

Yuri Pavlov, Bulgaria

Zarifa Jabrayilova, Azerbaidjan

Zekai Sen, Turkey

ORGANIZING COMMITTEE

Omer Faruk Bay, Turkey




Murat Koklu, Turkey



Hidayet Oguz, Turkey



Ridvan Saracoglu, Turkey


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



Marco Porta, Italy

Angel Smrikarov, Bulgaria


Zekai Sen, Turkey

Mustafa Altin, Turkey



Dimitris Dranidis, Greece

Cesare Valenti, Italy

Simona Silvia Merola, Bulgaria

TECHNICAL COMMITTEE


Ali Yasar, Turkey

Mehmet Akif Sahman, Turkey

Esra Kaya, Turkey

ix International Conference on Advanced Technology & Sciences (ICAT’Rome)


REAL TIME EARTHQUAKE LOCALISATION AND THE ELLIPTIC

CORRECTION 1

GEORGE DAGLISH, SIZOV IURII

IMPORTANCE OF COMPUTER AIDED DESIGN PROGRAMS FOR

ARCHITECTURE STUDENTS A CASE STUDY KTO OF KARATAY

UNIVERSITY

2

MUSTAFA ALTIN, SAKIR TASDEMIR

FILTERING AND ANALYSING HUMAN VOICE USING DIGITAL FILTERS 3

MEHMET CENGIZ, IBRAHIM ATAKAN KUBILAY

ROBUST FACE DEDECTION WITH CNN 4

EMINE CENGIL, AHMET CINAR

RAPID OUTDOOR INVENTORY TRACKING AND AUDITING USING

UNMANNED AERIAL VEHICLE AND IBEACON 5

KWAN HEE HAN, SUNG MOON BAE, HWAYONG LEE, HYEONG DON CHO

LOW COST WIRELESS SENSOR NETWORKS FOR GREENHOUSE

MONITORING APPLICATIONS 6

EMRE UNSAL, MEHMET MILLI, OZLEM AKTAS, YALCIN CEBI

HUMAN MOTION RECOGNITION FROM VIDEO IMAGES 7

DIDEM OLCER, SEZGI ACARI, EMRE SUMER

USING WEB DATA IN IDENTIFICATION OF MULTIWORD EXPRESSIONS

IN TURKISH 8

HANDE AKA UYMAZ, SENEM KUMOVA METIN

DEVELOPMENT OF A THERMOLUMINESCENCE PARAMETER

CALCULATOR PROGRAM 9

MEHMET YUKSEL, EMRE UNSAL

WEIGHT ESTIMATION OF APPLE BY USING IMAGE PROCESSING

TECHNIQUES AND MULTILAYER PERCEPTRON ALGORITHM 10

KADIR SABANCI, MUHAMMED FAHRI UNLERSEN, CEVAT AYDIN

A DIFFERENT FEATURE WEIGHTING APPROACH TO THE

CLASSIFICATION OF POST OPERATIVE LIFE EXPECTANCY FOR LUNG

CANCER PATIENTS AFTER SURGERY

11

KEMAL POLAT, YAVUZ UNAL

ELEMENT DISCOVERY OF TURKISH SENTENCES 12

MEHMET CENGIZ, AYSE BETUL SIMSEK, KADIR SINAS KAYNAK

A HADOOP BASED FRAMEWORK FOR LARGE SCALE TRAFFIC DATA

ANALYSIS 13

METE UGUR AKDOGAN

x International Conference on Advanced Technology & Sciences (ICAT’Rome)


14 DEEP LEARNING FOR INSTRUSION DETECTION ESRA CALIK, EMIN KUGU

DENTISTRY APPLICATIONS IN HAPTIC SUPPORTED VIRTUAL REALITY

ENVIRONMENT 15

TURHAN CIVELEK, HAKAN KISSABOYLU

DIAGNOSIS OF BREAST CANCER BY ANFIS TRAINED WITH PSO

METHOD 16

ILKER ALI OZKAN

THE DETECTION OF COLORECTAL CANCER ADENOCARSINOMA WITH

SEMI AUTOMATIC IMAGE PROCESSING TECHNIQUES 17

ALI YASAR, ISMAIL SARITAS, HUSEYIN KORKMAZ

COMPUTER AIDED STATISTICAL STUDY FOR FIRE RESISTANCE OF

CONSTRUCTION ELEMENTS AND MODELING 18

SAKIR TASDEMIR, MUSTAFA ALTIN

INVESTIGATION OF STRUCTURAL AND SPECTROSCOPIC PROPERTIES

OF C12H12N2SCH3OH MOLECULE BY USING THEORETICAL METHODS 19

MERYEM EVECEN

DETECTION OF IMPURITIES IN WHEAT AND CLASSIFICATION OF

DURUM WHEAT VITREOUSNESS IN A DYNAMIC SYSTEM 20

ESRA KAYA, ISMAIL SARITAS, ILKER ALI OZKAN

COMPARISON OF CLASSIFICATION TECHNIQUES ON LEAF DATASET 21

KEMAL TUTUNCU, MURAT KOKLU, OZCAN CATALTAS

22

23

24

IMAGE STEGANOGRAPHY METHODS AND PERFORMANCE

COMPARISON KEMAL TUTUNCU, BARIS DEMIRCI

REVIEW ON NATURAL LANGUAGE PROCESSING KEMAL TUTUNCU

REPRESENTATION OF FUZZY SETS BY PRIMAL MEASURE SPACES MUSTAFA DEMIRCI

DEVELOPMENT OF AN EXPERT SYSTEM BASED DECISION SUPPORT

SYSTEM IN POISONINGS FOR POISON INFORMATION CENTERS

25

MURAT AYKANAT, OMER FARUK BAY

COOPERATING AND FLOWING METHODS FOR MEASUREMENT OF

NUCHAL TRANSLUCENCY 26

DOMENICO TEGOLO, CESARE VALENTI, GIUSEPPA SCIORTINO

xi International Conference on Advanced Technology & Sciences (ICAT’Rome)


A NOVEL TREE DESIGN TO DETERMINE CONSERVED REGIONS 27

ONUR CAKIRGOZ, SULEYMAN SEVINC

FUZZY LOGIC CONTROL SYSTEM WITH HELICOPTER TAKE OFF AND

LANDING 28

MURAT HACIMURTAZAOGLU, NOVRUZ ALLAHVERDI

DEVELOPMENT OF WEB APPLICATION FIREWALL INTERFACE WAFI 29

ADEM TEKEREK, OMER FARUK BAY

A SUGGESTION FOR A NEW E GOVERNANCE SYSTEM IN THE WHEAT

SUPPLY PROCESS 30

ABDULLAH OKTAY DUNDAR, KENAN PEKER, MAHMUT TEKIN, MEHMET AKIF

SAHMAN, MUSTAFA BUBER

MODELLING AND IMPLEMENTATION OF A VIRTUAL WAREHOUSE

THROUGH JASON AND RMI 31

IGLI HAKRAMA, REZART TABAKU

A CONSTRUCTION AND EVALUATION METHODOLOGY FOR COLOR

PALETTES OF INFORMATION REPRESENTATION 32

R TANJU SIRMEN

DESIGN AND IMPLEMENTATION OF ANDROID SMARTPHONE GAME

APP FOR TCG USING UNITY 33

HANKYU LIM

DETERMINING A SIEVE PASSAGE FOR FLOUR QUALITY 34

MEHMET AKIF SAHMAN, ABDULLAH OKTAY DUNDAR

THE IMPLEMENTATION OF WELDING QUALITY DESIGNATOR

SOFTWARE AS AN IOT SOLUTION FOR THE WELDING DEVELOPMENT 35

KARINA KARAPETYAN, ANSSI SUHONEN, LAURI ALONEN, KARI SOLEHMAINEN

TROUBLESHOOTING ANALYSIS IN TELECOMMUNICATION SERVICES 36

BURCU ORALHAN, ZEKI ORALHAN, KUMRU UYAR, NILSUN SARIYER

PREDICTION OF ORTHOPEDIC DISEASE BY ARTIFICIAL NEURAL

NETWORK 37

ALI YASAR, ISMAIL SARITAS

PREDICTING NUMERICAL AND VERBAL INTELLIGENCE FROM FINGER

2D 4D RATIO 38

EYUP BURAK CEYHAN, KADRIYE ONER

PHASE SHIFTING TRANSFORMERS A SURVEY ON CONTROL AND

OPTIMIZATION STRATEGIES 39

xii International Conference on Advanced Technology & Sciences (ICAT’Rome)


MEHMET TUMAY, TUGCE DEMIRDELEN, SELVA BAL, ABDULLAH

CICIBAS, AHMET KEREM KOSEOGLU, MAHMUT AKSOY, BURCU DOGRU

DETERMINING AMOUNTS OF ENERGY SAVER DEVICES IN AN

ELECTRONIC INDUSTRY USING FUZZY LINEAR PROGRAMMING 40

CAGATAY TEKE, ALPER KIRAZ

GROUND MOVING TARGET DETECTION PERFORMANCE OF

DISPLACED PHASE CENTER ARRAY METHOD FOR AIRBORNE PASSIVE

RADAR

41

NECMI SERKAN TEZEL, FABIOLA COLONE, PIERFRANCESCO LOMBARDO

BEARING FAILURES DETECTION IN INDUCTION MOTORS USING THE

STATOR CURRENT ANALYSIS BASED ON ENSEMBLE EMPIRICAL MODE

DECOMPOSITION

42

SAADI MOHAMED NACER, BOUKHENAF MESSAOUD, REDJATI

ABDELGHANI, GUERSI NOUREDDINE

NONLINEAR ADAPTIVE CONTROL OF A FERMENTATION FED BATCH

PROCESS 43

DAN SELISTEANU, MONICA ROMAN, DIANA ADRIANA POPA, EMIL PETRE

HYBRID TYPE OF PHOTONIC ANALOG TO DIGITAL CONVERTERS 44

NISA NACAR CIKAN, MURAT AKSOY

CURRENT SITUATION AND FUTURE PROSPECT IN TURKEY S

ELECTRICITY SECTOR 45

MEHMET CUNKAS

IDENTIFICATION AND TRACKING SYSTEM FOR DOMESTIC FARM

ANIMALS 46

ALI SAIT OZER, MEHMET CUNKAS

LOADING ASSESSMENT OF LV AND MV CABLES SYSTEM LAID INTO

SAME TRENCH IN DISTRIBUTION NETWORK 47

OKTAY ARIKAN, BARIS KUCUKAYDIN

LOW COST HIGH RESOLUTION POSITION SENSOR WITH SUB MICRON

ACCURACY 48

CLAUDIO PASSERONE

COMPUTATIONAL INVESTIGATION OF 3 AMINO 4 BOC AMINO

PYRIDINE 49

HATICE VURAL, MEHMET KARA

SMALL SIGNAL ANALYSIS OF CASCADE DC DC BOOST CONVERTER

CONTROLLED WITH PI 50

NACI GENC, SUDE KART

xiii International Conference on Advanced Technology & Sciences (ICAT’Rome)


CROSS CORRELATION BASED LEVEL MEASUREMENT METHOD FOR

GRAIN SILOS 51

ENES YIGIT, HAKAN ISIKER, HUSEYIN DUYSAK

PRINTED FORM OF LPDA BASED MIMO ANTENNA SYSTEM WITH

NEUTRALIZATION LINE FOR MOBILE TERMINALS 52

ABDURRAHIM TOKTAS

AN APPLICATION OF ANN MODEL WITH SCALED CONJUGATE

GRADIENT LEARNING ALGORITHM FOR PREDICTING THE OPERATING

FREQUENCY OF ANNULAR RING PATCH ANTENNAS

53

AHMET KAYABASI, ALI AKDAGLI

E TEXTILE STRUCTURES FOR ELECTRIC HEAT TRACING

APPLICATION 54

SENEM KURSUN BAHADIR, UMUT KIVANC SAHIN, AYHAN KURAL

EFFECTS OF HOME LAUNDERING ON ELECTRICAL RESISTANCE OF

SIGNAL TRANSMISSION LINES ON COLORED E TEXTILES 55

UMUT KIVANC SAHIN, SENEM KURSUN BAHADIR

FEASIBILITY ANALYSIS OF AN OFFSHORE WIND POWER PLANT FOR A

CAMPUS 56

ILTER SAHIN AKTAS, XIZE NIU

INVESTIGATION OF ADDING DTBP DI TERTIARY BUTYL PEROXIDE TO

DIESEL ETHANOL BLENDS AT LOW RATES AS CETANE IMPROVER 57

MURAT CINIVIZ, ILKER ORS, BAHAR SAYIN KUL

FLOW OF A CHEMICALLY REACTING FLUID IN A PIPE EXPERIMENTAL

STUDY NUMERICAL MODELING AND STABILITY ANALYSIS 58

HARIJS KALIS, MAIJA ZAKE, ANDREI KOLYSHKIN

THE SOCIAL IOT AND SMART GRID 59

JULIE ALBRIGHT

DESIGNING OF HYBRID STRUCTURE AND OPTIMIZED FUEL

CONSUMPTION STRATEGY FOR PASSENGER VEHICLE 60

JAVAD REZAEI

CONTROL OF A MANIPULATOR ARM WITH UNCERTAIN DYNAMIC

MODEL BY HYBRID INTELLIGENT SYSTEM ANFIS 61

MAKHLOUFI FATEH, SAADI MED NACER, REDJATI ABDELGHANI, GUERCI

NOUREDDINE

DESIGN OF A BLACK BOX FOR CRANE CONTROL SYSTEM 62 MUSTAFA BUBER, ADEM GOLCUK, RAMAZAN KURSUN

MODELING AND CONTROL OF AN UNMANNED AERIAL VEHICLE 63

xiv International Conference on Advanced Technology & Sciences (ICAT’Rome)


BATIKAN ERDEM DEMIR, RAIF BAYIR

INVESTIGATION OF DIFFRACTIVE OPTICAL ELEMENT OF BIOSENSOR

FOR HUMAN HEALTH MONITORING 64

ARVYDAS PALEVICIUS, ROKAS SAKALYS, GIEDRIUS JANUSAS, AMER SODAH

3 AXIS CARTESIAN ROBOT IMPLEMENTATION USING BRESENHAM S

LINE ALGORITHM 65

RAMAZAN KURSUN, MUSTAFA BUBER, ADEM GOLCUK

PRODUCTION AND TESTING OF TL DOSIMETERS AS AN IONIZING

RADIATION SENSOR 66

MEHMET YUKSEL, TAMER DOGAN, MUSTAFA TOPAKSU

MINIATURIZED MODEL OF A MACRO FIBER COMPOSITE

PIEZOELECTRIC TRANSDUCER BASED WIND TUNNEL AND ITS

OPTIMIZATION FOR ENERGY HARVESTING

67

FUNDA DEMIR, MUSTAFA ANUTGAN

METALLURGICAL INVESTIGATION OF FRICTION STIR WELDED

ALUMINUM ALLOYS 68

KAAN OZEL, CEM CETINARSLAN

EFFECT OF HOMOGENIZATION ANNEALING PARAMETERS ON

CORROSION BEHAVIOR OF AZ31 MAGNESIUM ALLOY 69

ALPER INCESU, ALI GUNGOR

MICROSTRUCTURE AND MECHANICAL PROPERTIES OF NIAL AND

EUTECTIC NIAL ALLOYS 70

ALI GUNGOR, HUSEYIN DEMIRTAS

THE SYNTHESIS AND MECHANICAL CHARACTERIZATION OF HYBRID

EPOXY AND CARBON EPOXY MATRIX COMPOSITES 71

SEDEF SISMANOGLU, ALI GUNGOR, DILARA SEN, BUSRA ASLAN

THE BURST FAILURE OF THE ELIPTICAL SURFACE CRACKED BFR

EPOXY COMPOSITE PIPES 72

MEHMET TURAN DEMIRCI, NECMETTIN TARAKCIOGLU, AHMET AVCI

DENOISING MR IMAGES WITH WEIGHTED 3D DISCRETE WAVELET

TRANSFORM 73

GUZIN OZMEN, SERAL OZSEN, BURAK YILMAZ

THE INVESTIGATION OF FIRST ORDER AND SECOND ORDER

TEXTURAL FEATURES EFFECTS IN MAMMOGRAMS CLASSIFICATION 74

CANAN ORAL, AYSE AYDIN YURDUSEV, ERHAN BERGIL

PERSONAL AUTHENTICATION BASED ON WRIST EMG ANALYSIS BY

CONVOLUTIONAL NEURAL NETWORK 75

xv International Conference on Advanced Technology & Sciences (ICAT’Rome)


RYOHEI SHIOJI, DAIKI HIRAOKA, SHIN ICHI ITO, MOMOYO ITO, MINORU

HUKUMI

MOTOR COGNITION AND DECISION THEORY IN SENSORIMOTOR

CONTROL 76

ZLATA JELACIC

MODELLING OF BIOTECHNOLOGICAL SYSTEMS USING PARALLEL

COMPUTING 77

DORIN SENDRESCU, DAN SELISTEANU, BOGDAN POPA

INTELLIGENT TOOL PATH OPTIMIZATION METHODOLOGY FOR 2 5 OR

HIGHER AXIS CNC SPOT MACHINING FOR PLANAR AND SCULPTURED

SURFACES

78

GEORGE PAPAZAFEIROPOULOS, ANDREAS MARIOS TSAINIS, MARGARITIS BARTZOPOULOS

MANNHEIM OFFSETS UNDER THE 1 PARAMETER MOTIONS 79

KEZIBAN ORBAY, TEVFIK SAHIN

RISK ANALYSIS IN ELECTRICAL AND ELECTRONIC ENGINEERING

DEPARTMENT A CASE OF ELECTRIC MACINERY LABORATORY IN

TURKEY

80

PIRIL TEKIN, RIZVAN EROL

A TEXT MINING ANALYSIS ON ENVIRONMENTAL FRIENDLY

ELECTRONIC PRODUCTS PATENTS 81

SELEN YUCESOY, TURKAY DERELI, ALPTEKIN DURMUSOGLU

JAPANESE JANKEN RECOGNITION BASED ON WRIST EMG ANALYSIS

BY CNN AND SVM 82

DAIKI HIRAOKA, SHIN ICHI ITO, MOMOYO ITO, MINORU FUKUMI

VISION BASED NAVIGATION SYSTEM FOR SATELLITE RANDEZVOUS

AND DOCKING 83

MARIUSZ JACEWICZ1

BIOMETRICS AUTHENTICATION OF AERIAL HANDWRITTEN

SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK 84

KOHEI NAKANISHI, DAIKI HIRAOKA, SHIN ICHI ITO, MOMOYO ITO, MINORU FUKUMI

CLASSIFICATION OF MESOTHELIOMA DISEASE WITH DATA MINING

METHODS 85

MURAT KOKLU

1 International Conference on Advanced Technology & Sciences (ICAT’Rome)


REAL TIME EARTHQUAKE LOCALISATION AND THE ELLIPTIC

CORRECTION

GEORGE DAGLISH1 , SIZOV IURII2

1 Independent Analysis And Computation, United Kingdom ; 2 Ras Institute Of The

Physics Of The Earth, Russian Federation

ABSTRACT

We have proposed fast algorithms for the concurrent localisation of Earthquake Epi- and

Hypocenters in real-time. In tests a "reduced simulation" regime is followed in which these

algorithms absorb P-wave 1st arrival timings sequentially into the object data set, in the

order in which the expanding wave-field impinged on the sensors, (seismographs), in the

network considered. Most localisation algorithms, at some point, attempt to apply a

correction for the Earth's ellipticity. However the bulk of the calculation is done assuming

a spherical Earth - with the correction added on as an afterthought. In this paper we will

broach a proposal for implanting the localisation algorithm directly within the Earth as an

oblate spheroid (the Spheroid). This would obviate the need for a "tag-on" correction. The

consequences for the computational power that would be needed to support such a set of

calculations is also treated.

KEYWORDS -



IMPORTANCE OF COMPUTER AIDED DESIGN PROGRAMS FOR

ARCHITECTURE STUDENTS A CASE STUDY KTO OF KARATAY

UNIVERSITY

MUSTAFA ALTIN1 , SAKIR TASDEMIR2

1 Selcuk University, Turkey ; 2 Selcuk University, Turkey

ABSTRACT

Nowadays Computer Aided Design (CAD) programs are widely used in architecture and

engineering fields. It is vital for architecture students to have a good ability to use CAD

software packages during their studies and also for preparation to work life requirements.

Using animation techniques and being able to model all kinds of projects, is important while

bachelor studies as well as thinking different and creating awareness. When the curriculum

of the Department of Architecture is observed it’s seen that Computer Aided Design Course

has taken its place and it means an adaptation to new technological developments. In this

study; the aim is to evaluate training results of Computer Aided Design Courses given to

architectural students of KTO Karatay University Faculty of Fine Arts and Design.

Architectural topics included in the course varies each semester and each student is asked

to make different designs. Topics included in the Architectural Project course varies each

semester and each student is asked to make different designs. Students are also required to

prepare the projects which had been given in Architectural Project course with CAD

programs that they have learned. Students who prepared Architecture project was asked to

deliver models of both 2-dimensional and 3-dimensional of project as well as presentations

of layouts rendering. Students were asked to work on an animation describing their

architectural projects and defend themselves while delivering the project in addition to

presentation sheet prepared by them. Studies were evaluated by the commissions and

comments and criticisms have been made to prepare students for the future. The importance

of courses which have a direct or indirect link in accordance with CAD-assisted solutions

for students who graduate and enter into business life has been deliberated and has been

observed that the students are prepared to market conditions as an architect who has

knowledge about Computer Aided Design software.

KEYWORDS - Computer Aided Design (CAD), architectural design, modeling,

Architecture



FILTERING AND ANALYSING HUMAN VOICE USING DIGITAL FILTERS

MEHMET CENGIZ1 , IBRAHIM ATAKAN KUBILAY2

1 Dokuz Eylul Universitesi, Turkey ; 2 Dokuz Eylul Universitesi, Turkey

ABSTRACT

In this work, emotion recognition from speech data is studied. Present day applications and

studies over speech are focused on text and/or context, but this approach misses the main

idea that people wanted to express, for example metaphors are generally used for explaining

the reverse meaning in a situation. It’s quite hard to extract text from momentary speech,

but it’s possible to extract emotions. Emotion recognition from speech can be performed in

three steps: filtering, analysis, and determination of the speaker’s emotion. First, if speech

is not recorded at an isolated environment, speech data is filtered to clean out the noise

produced by other speakers or environmental sounds in the conversation. Second, magnitude

changes in the frequency spectrum of the speech signal are analyzed. Then we analyze the

sentimental elements. According to the developed method, definite magnitude fluctuations

in a conversation show emotional changes. Third, the speaker’s emotions are classified

using commonly used classification methods like neural networks or decision trees. The

initial purpose of this work is to find the main idea conveyed in human speech using

intonations, which is an important step in the direction of enabling people and computers to

communicate with a natural language.

KEYWORDS - speech processing,emotion recognotion,data mining,knowledge discovery



ROBUST FACE DEDECTION WITH CNN

EMINE CENGIL1 , AHMET CINAR2

1 Firat University, Turkey ; 2 Firat University, Turkey

ABSTRACT

Robust Face Dedection with CNN Deep learning , has an important field in increasing of

rate of applied problems in academic and scientific communities. In this study, an algorithm

that utilizes deep learning is developed to face dedection process which is the first step of

the face recognition problem. Despite several methods are available for face dedection

process in the literature, we prefer deep learning approach that is used thanks to both

robustness and high accuracy rate. The performances of two different face dedection

algorithms are evaluated in terms of deep learning in the study. These algorithms are Viole-

Jones algorithm and skin color tecnique. While these algorithms perform successfully face

dedection process in particularly clear image taken from the front, the success rate falls

clearly in cases of the position change. Solving this situation is important. An algorithm

which is robust against face allignment problem and utilizes Convolutional Neural Network

(CNN) in the feature extraction process, is presented in the this study. In this way the system

performance is increased both classification and face allignment. Caffe open source

software is also implemented in practise. Caffe library is prefered thanks to the support of

the CNN, pyton, C++, and Matlab programming languages and environments. In the

presented study, AFLW (Annotated Facial Landmarks in the Wild) database is used to

positive images and IMAGENET dataset (cat, dog, flower) is used to negative images. A

part of these data is utilized in order to test and the remainder of data is utilized in learning.

As a future work, the realization of the method will be provided by using gpu programming

tecniques and thus learning time will be reduced in particularly. Keywords: Face dedection,

robustness, CNN, Deep Learning

KEYWORDS - face dedection,CNN,Deep Learning,viola-Jones,Skin-color Technique



RAPID OUTDOOR INVENTORY TRACKING AND AUDITING USING

UNMANNED AERIAL VEHICLE AND IBEACON

KWAN HEE HAN1 , SUNG MOON BAE2 , HWAYONG LEE3 , HYEONG DON CHO4

1 Gyeongsang National University, Korea Republic Of ; 2 Gyeongsang National University,

Korea Republic Of ; 3 Gyeongsang National University, Korea Republic Of ; 4 Ginitech Co

Ltd, Korea Republic Of

ABSTRACT

Eefficient inventory management holds a critical position in modern firms to gain

competitive edge. Control of inventory is needed to ensure that the business has the right

goods on hand to avoid stock-outs, to prevent shrinkage, and to provide proper accounting.

Inventory tracking and auditing is a task which must be carried out continuously to ensure

the efficiency of the supply chain and to meet with regulatory requirements. Even though

automated methods such as bar code and RFID are being used in most firms, inventory

tracking and auditing is time-consuming and labor-intensive, especially, when stocks are

bulky, big-sized and multi-tier stored in outdoor environment. As a remedy to the above

situation, the aim of this study is to find a solution to practice rapid inventory tracking and

auditing in an outdoor environment using human-controlled UAV equipped with iBeacon-

based ID reader. By using UAV equipped with on-board iBeacon signal reader, GPS

receiver and camera, a UAV can fly to a stock location, scan iBeacon ID signal and gather

relevant information such as location and image. After the flight for tracking and auditing

inventory, the gathered stock item data is compared with data stored in database of inventory

management system, and inventory information such as quantity and location is adjusted to

reflect real situations. For the rapid outdoor inventory tracking and auditing, the system

architecture which consists of inventory management server, UAV-based mobile data

scanner and iBeacon-based signal transmitter was proposed in this paper. And based on this

architecture, a prototype system was developed.

KEYWORDS - inventory tracking,inventroy auditing,UAV,iBeacon,Arduino,auromatic

identification



LOW COST WIRELESS SENSOR NETWORKS FOR GREENHOUSE

MONITORING APPLICATIONS

EMRE UNSAL1 , MEHMET MILLI2 , OZLEM AKTAS3 , YALCIN CEBI4

1 Dokuz Eylul University, Turkey ; 2 Dokuz Eylul University, Turkey ; 3 Dokuz Eylul

University, Turkey ; 4 Dokuz Eylul University, Turkey

ABSTRACT

Recent improvements in embedded devices, sensing technologies and wireless

communications allow real word deployment of Wireless Sensor Networks (WSNs). These

networks are used for various types of applications such as monitoring the environment,

disaster detection systems, home automation, medical health-care and military systems.

Moreover, these networks can be implemented in agricultural applications such as

greenhouse monitoring systems. Greenhouses are transparently isolated structures, which

provides suitable climatic conditions to grow various types of plants. In order to control

farming activities, the climatic conditions of this structures should be monitored

continuously. In this study, a low cost WSN is proposed to monitor the various types of

plants and the climatic conditions of the greenhouses. Two types of Arduino platform

suitable sensor nodes are developed to monitor inside and outside of the greenhouses. While

the sensor nodes placed inside of the greenhouse monitor temperature, humidity and soil

moisture of the environment, the sensor nodes placed outside of the greenhouse monitor

temperature, humidity, rain and intensity of light levels. The sensor network consists of

multi-hop tree based network architecture and includes three types of nodes which are sensor

nodes, repeater nodes and a gateway node. The incoming data collected from the sensor

nodes is stored in to a MySQL database. In order to visualize the collected information from

the sensor nodes, monitoring applications are developed. Finally, the developed system is

tested in laboratory conditions and the results show that the proposed system can be used to

monitor and evaluate greenhouse farming fields. In the future, energy harvesting techniques

by using solar panels will be added to prolong lifetime of the sensor nodes. In addition, the

power consumption of the sensor nodes will be reduced and the durability of the network

will be increased.

KEYWORDS - Greenhouse, wireless sensor networks, Arduino, monitoring system,

climatic control.



HUMAN MOTION RECOGNITION FROM VIDEO IMAGES

DIDEM OLCER1 , SEZGI ACARI2 , EMRE SUMER3

1 Baskent University, Turkey ; 2 Baskent University, Turkey ; 3 Baskent University, Turkey

ABSTRACT

Today, security is an indispensable element of human life and also regarded as one of the

most important factors affecting our quality of life. Situations that may disrupt the peace of

the whole community can occur in environments where there is no or inadequate security.

Starting from this point of view, we perform the recognition of human motion from video

images in this study. Thus, the suspicious situations can be determined to keep informed the

security units. The motion types to be recognized are walking, running, lying on the floor,

hugging and fighting. The steps of the proposed method comprises; video background

extraction, person detection located in the foreground, improvement with morphological

operators and Center of Mass (CoM) analysis. The results obtained are found to be

promising with a success rate about 80%.

KEYWORDS - image segmentation, CoM analysis, motion recognition, video

surveillance, security



USING WEB DATA IN IDENTIFICATION OF MULTIWORD EXPRESSIONS IN

TURKISH

HANDE AKA UYMAZ1 , SENEM KUMOVA METIN2

1 Faculty Of Engineering And Computer Sciences Izmir University Of Economics, Turkey

; 2 Faculty Of Engineering And Computer Sciences Izmir University Of Economics,

Turkey

ABSTRACT

Multiword expressions (MWEs) are recurrent combinations of words in natural languages.

The major disadvantage of occurrence frequency based methods is that extraction

performance depends mainly on the size of the data set in which the occurrence frequency

is measured. The main goal of this study is obtaining the frequency from a massive data

source, the World Wide Web, in order to by-pass the negative effect of small data set. In

this study, we applied frequency based MWE extraction methods on two Turkish MWE data

sets. The occurrence frequencies of MWE candidates in data sets are obtained from popular

search engine Google. The evaluation of the 20 frequency based methods is performed by

precision, recall and F-measures. The performance of web-based frequencies in

identification of MWEs is compared to the traditional corpus based frequencies and it is

showed that the use of web data in identification of MWEs reveals promising results.

KEYWORDS - multiword expressions, Turkish,web



DEVELOPMENT OF A THERMOLUMINESCENCE PARAMETER

CALCULATOR PROGRAM

MEHMET YUKSEL1 , EMRE UNSAL2

1 Cukurova University Arts Sciences Faculty Physics Department, Turkey ; 2 Dokuz Eylul

University Faculty Of Engineering Department Of Computer Engineering, Turkey

ABSTRACT

In the literature many attempts have been made to calculate the related phenomena of

thermoluminescence (TL) from a kinetic model primarily in order to study crystal defect

properties and to have a tool for determining trapping parameters such as activation energies

(or trap depths, E), frequency factors (s) and order of kinetics (b). Determining the kinetic

model of TL glow curves reveals the dosimetric properties of the experienced material.

Thus, the subject of TL kinetic parameters calculation is very significant in TL dosimetry

studies. In this study, “Thermoluminescence Parameter Calculator (TLPC)” application was

developed with C# programming language on Microsoft Visual Studio .Net platform. The

developed TLPC software can calculate E, s and b values easily, practically and correctly

by using various heating rate (VHR), peak shape (PS) and three points (TP) methods. In

order to determine these values, non-overlapping TL glow peaks of any dosimetric material

must be recorded from TL measurement and maximum peak temperatures (TM), heating

rate values (β), maximum intensities (IM) and peak areas (maximum, half and quarter) of

these TL peaks must be obtained. Using the first, second and general order isolated TL glow

peaks, the reliability of TLPC software were checked with obtained data from the

Mathematica.

KEYWORDS - TLPC software, thermoluminescence, kinetic parameters, programming,

dosimeter.



WEIGHT ESTIMATION OF APPLE BY USING IMAGE PROCESSING

TECHNIQUES AND MULTILAYER PERCEPTRON ALGORITHM

KADIR SABANCI1 , MUHAMMED FAHRI UNLERSEN2 , CEVAT AYDIN3

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

; 3 Selcuk University, Turkey

ABSTRACT

In this study, for three different type of apple grown in Karaman province weight estimation

was performed by using image processing techniques. 25 Golden Delicious, 25 Granny

Smith and 25 Starking Delicious (totally 75 apples) have been used in the study. DFK

23U445 USB 3.0 (with Fujinon C Mount Lens) industrial camera has been used to capture

apple images. Image processing techniques were applied by using MATLAB software. For

capturing apple images a closed area which have own lighting system was created. Images

were taken by using a GUI developed on MATLAB. The diameter of the apple was obtained

by using image processing algorithms. The volume of the apple was estimated by using

diameter, area and fullness. The weight estimation of the apple was done by using Multilayer

Perceptron algorithm. For various number of neurons in the hidden layer, the training have

been done. The error rates were obtained for each of the neuron number in the hidden layer.

Success rates were determined by comparing estimated weights of apples and their actual

weight. As the result of the study the MAE and RMSE rate was obtained as 6.2543 and

7.5478 respectively.

KEYWORDS - Image processing, Weight estimation, Multilayer Perceptron



A DIFFERENT FEATURE WEIGHTING APPROACH TO THE

CLASSIFICATION OF POST OPERATIVE LIFE EXPECTANCY FOR LUNG

CANCER PATIENTS AFTER SURGERY

KEMAL POLAT1 , YAVUZ UNAL2

1 Bolu Abant Izzet Baysal University, Turkey ; 2 Amasya University, Turkey

ABSTRACT

The classification problem of survival expectancy trouble for patients with lung cancer after

the surgery performed has been solved in this study. There are two classes in this problem:

dying a year after the surgery performed (False=400 samples), continuing to live in the other

case (True: 70 samples). Thoracic Surgery data set was taken from UCI (University of

California at Irvine) data base and this data set was made by M. Lubicz and friends in

Poland. There are 16 features in total in Thoracic Surgery data set, including 3 numerical

and 13 categorical features. There are two classes: True (70), False (400). As seen in

classification data, this data set is an imbalanced dataset. That’s why, pre-treatment method

needs to be used while classifying the data set, otherwise low classification accuracy can be

achieved. A new feature based on the cluster centers obtained by the fuzzy C-means

clustering method, weighting method has been suggested in this study. The proposed feature

weighting method’s working consists of three steps. First of all, the cluster centers belonging

to all features in the dataset have been found by FCM. In the second step, the differences

between data points and cluster centers for each class in the dataset have been calculated. In

the third step, the average values of all the differences for each feature have been computed

in order to find the weighting coefficients and then these obtained average difference values

have been assigned to each feature for each class separately. Thoracic Surgery case is

classified with Random Forest classification algorithm after the feature weighting process.

To evaluate the performance of the system suggested, kappa value, AUC value (area under

the ROC curve) and f-measure values have been used. Performance values obtained with

Random Forest without using feature weighting method are: kappa: 0.0164, f-measure:

0.778, AUC: 0.664. Performance values obtained with the hybrid system formed by the

combination of the feature weighting method and Random Forest are: kappa: 0.9916, f-

measure: 0.998, AUC: 0.998. The results obtained show that the differency based feature

weighting method based on FCM gave high results and it will be used in a variety of pattern

recognition problems.

KEYWORDS - FCM clustering, Pattern Recognition, Thoracic Surgery ,Difference based

feature weighting method with FCM



ELEMENT DISCOVERY OF TURKISH SENTENCES

MEHMET CENGIZ1 , AYSE BETUL SIMSEK2 , KADIR SINAS KAYNAK3

1 Dokuz Eylul Universitesi, Turkey ; 2 Dokuz Eylul Universitesi, Turkey ; 3 Dokuz Eylul

Universitesi, Turkey

ABSTRACT

Currently, Turkish word determination using natural language processing methods depends

on dictionary meanings, whether statistic or rule based approaches. In order to store a

dictionary in a database, the methods proposed in these studies require additional memory

space. Moreover, it can be seen that response times of applications are prolonged when data

access and search times are considered. This situation has a negative effect on the

performance of running times of the applications. In view of the problems mentioned above,

in this study, a new approach on splitting the elements of Turkish sentences is proposed

using only rules of Turkish Language Syntax and suffix rules of word roots regardless of

their dictionary meanings. Main parts of the proposed method are splitting and analysis.

Splitting part of the algorithm consists of two stages; the separation of sentences into words

and the separation of words into the root and its suffixes. After the splitting process, each

word of the sentence is examined to find out which element of the sentence it represents. In

the light of this information, especially, predicate of the sentence is found with a high

success ratio. This study also has the potential to benefit to determine other sentence

elements.

KEYWORDS - natural language processing,word examination,elements of

sentence,turkish language



A HADOOP BASED FRAMEWORK FOR LARGE SCALE TRAFFIC DATA

ANALYSIS

METE UGUR AKDOGAN1

1 Dokuz Eylul University, Turkey

ABSTRACT

Traffic congestion affects life of several people every single day, making the congestion a

crucial problem. Solution to this problem resides in comprehensive analysis of the traffic

data. Today Intelligent Transport (ITS) and Monitoring collect enormous amounts of traffic

data from various sources like sensors, cameras, and GPS devices trying to analyze this data

in order to find a solution for traffic congestion. However traditional systems cannot cope

with the massive amount of data collected by these sensors. So as to make complete and

precise traffic analysis, this work proposes and implements a Hadoop based framework.

This framework can store large-scale fine-grained traffic data efficiently. Also fundamental

parameters of traffic flow like flow rate, speed, density and headways can be calculated in

scale. Performance of the system is tested with complex headway calculation of a citywide,

2 hours of peak traffic data that approximately has 500 million records. While the results

exhibits the scalability of the system, implementation outcomes of queries show that traffic

data analysis in this work can be accomplished in satisfactory period of time.

KEYWORDS - Hadoop, MapReduce, Traffic Data Analysis,Big data,traffic flow

parameters



DEEP LEARNING FOR INSTRUSION DETECTION

ESRA CALIK1, EMIN KUGU2

1 Fatih Sultan Mehmet Vakif University, Turkey 2 Turkish Air Force Academy, Turkey

ABSTRACT

This paper aims to develop a point of view for the protection of information systems

against the intrusions or intrusion attempts. Intrusion Detection System (IDS) which is a

specialized intelligent system is designed to interpret the intrusion attempts in incoming

network traffic. Our goal is to make our information systems safe using IDS based on

Deep Learning (DL) model. This model detects the known and unknown attacks with

minimum false alarm rate. The detection of a cyber attack is important. But to detect an

attack in a short time is also important. An attacker can cause damage on the system in a

very short time when he or she infiltrate a system. The Deep Learning (DL) is a

combination of multilayer unsupervised learning networks and supervised learning

networks. DL used in large-scale data analysis and it has an outstanding performance.

KEYWORDS - deep learning; intrusion detection system; ids



DENTISTRY APPLICATIONS IN HAPTIC SUPPORTED VIRTUAL REALITY

ENVIRONMENT

TURHAN CIVELEK1 , HAKAN KISSABOYLU2

1 Kirklareli University, Turkey ; 2 Kirklareli University, Turkey

ABSTRACT

In this study, education of university departments related to the mouth and dental health

such as dentistry and dental technician are aimed to be supported by haptic supported virtual

reality environments. A Virtual reality environment was created using the 3D (three

dimensional) teeth and gums model. This created virtual reality environment provides the

screening and haptic perception (touching the virtual object and physically feeling with

haptic arm) of mouth and the teeth by a camera which is virtually attached to the cursor of

the haptic device. With this developed application; 3D visualization and haptic perception

opportunity of the materials in virtual reality environments is provided to dentistry students

for their education. This application gives the possibility of unlimited training. Hence

material demands of dentistry education are supposed to be decreased by the usage of virtual

reality environments. Also, It has been seen that an education supported by these kind of

applications will be more interesting and effective than the traditional education.

KEYWORDS - virtual reality ,haptic devices,dentistry applications,virtual reality

environments,virtual education,dentistry



DIAGNOSIS OF BREAST CANCER BY ANFIS TRAINED WITH PSO METHOD

ILKER ALI OZKAN1

1 Selcuk University, Turkey

ABSTRACT

Breast cancer is one of the most common malignant tumors among female. Early diagnosis

plays a life-saving role in breast cancer. In order to reduce the number of mistakes during

the interpretation of the acquired mammogram images, computer-assisted decision-making

schemes have been gaining importance. In this work, an application of ANFIS application

has been developed to be able to make a diagnosis on the breast cancer data set. For the

purpose of getting better diagnosis results, PSO has been used to determine the parameters

of the ANFIS architecture. It has been observed that the developed PSO-ANFIS structure

can diagnosis breast cancer successfully.

KEYWORDS - WDBC, breast cancer, ANFIS, PSO, diagnosis



THE DETECTION OF COLORECTAL CANCER ADENOCARSINOMA WITH

SEMI AUTOMATIC IMAGE PROCESSING TECHNIQUES

ALI YASAR1 , ISMAIL SARITAS2 , HUSEYIN KORKMAZ3

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

ABSTRACT

Colorectal cancer is cancer that starts in the colon or rectum. In this study, our aims to detect

the cancerous regions semi-automatically according to the colonoscopy images obtained. In

this process, semi-automatic diagnosis of cancer is done according to the colonoscopic

images received from the patients using image processing techniques and the results are

compared with the colorectal cancerous region determined from the colonoscopic images

by specialized doctors. The colorectal cancerous region obtained semi automatically using

image processing techniques and determined by the specialized doctors are compared.

83.9833 % accuracy rate is determined from the comparison results. Considering the results

obtained, it can be seen that the suspected region can be determined via software by the

specialized doctors.

KEYWORDS - semi automatic,image processing,Colorectal Cancer,Adenocarsinoma



COMPUTER AIDED STATISTICAL STUDY FOR FIRE RESISTANCE OF

CONSTRUCTION ELEMENTS AND MODELING

SAKIR TASDEMIR1 , MUSTAFA ALTIN2


ABSTRACT

The data obtained through experimental studies reveals significant results for the study.

With this results clear solutions in that area can be produced or depth of the study can be

increased. Also based on the results of experimental studies, especially computer-aided

approaches are being developed. In today’s science, artificial intelligence, fuzzy logic, lots

of methods or software based on mathematics or statistics can be given as examples to this

kind of studies. These kind of improvements in computer technology can find a development

environment in a lot of industrial areas. One of them is the civil engineering that affects

many different aspects of our lives. In this sector, numerous computer-aided studies

continue to be developed. In an event of fire, to prevent fast ignition of wood and it’s rapid

spread through reducing it’s burn rate, fire retardant coating materials are used. Different

types of wood coated with polish were exposed to fire in this study. After the fire, remaining

parts of the materials were measured and experimental data was obtained. With the help of

this data, a computer-aided statistical regression model (RM) was created. Input parameters

that were used are the first weight of samples (ws-gr), preliminary cross-section (pcs- mm2),

fire time (ft-minute), fire temperature (t-oC) and the output parameter is final cross-section

(fcs- mm2). Statistically different formulas are created. The results obtained from the

statistical regression analysis (RA) and the experimental data are compared. The closest

model to the experimental data determined based on the correlation value (R). When

compared the results obtained from this model and the experimental data, it was found to be

consistent with each other. In conclusion, it is shown that the model developed in this study

can be used safely for estimating the remaining sections of wood construction materials after

a fire.

KEYWORDS - Statistical equation, final cross-section, fire resistance,computer modeling



INVESTIGATION OF STRUCTURAL AND SPECTROSCOPIC PROPERTIES OF

C12H12N2SCH3OH MOLECULE BY USING THEORETICAL METHODS

MERYEM EVECEN1

1 Amasya University, Turkey

ABSTRACT

In this work, we have investigated Schiff-bases compound due to the chemical important.

The Schiff-bases compound C12H12N2SCH3OH molecular geometry, vibrational

frequencies, gauge including atomic orbital (GIAO) 1H and 13C ‐NMR chemical shift

values, molecular electrostatic potential (MEP) and HOMO-LUMO energies in the ground

state were investigated by theoretical calculations. The calculated results show that the

optimized geometry can well reproduce the crystal structure, and the theoretical vibrational

frequencies and chemical shift values show good agreement with experimental values.

KEYWORDS - Schiff base; crystal structure; hydrogen bonding



DETECTION OF IMPURITIES IN WHEAT AND CLASSIFICATION OF DURUM

WHEAT VITREOUSNESS IN A DYNAMIC SYSTEM

ESRA KAYA1 , ISMAIL SARITAS2 , ILKER ALI OZKAN3


ABSTRACT

One of the main food supplies for the survival of humankind is wheat so, a favourable

quality processing of wheat is essential. After harvesting, it goes through many procedures

from its separation from chaff to its packaging. Nowadays, many of these procedures are

conducted with automatic systems due to the development in computer sciences which leads

to decreasing cost of labour and time and increasing food quality. One of the main concerns

of quality food production is to provide a customer with the product in its purest form which

means the product must be separated from all foreign matters. The vitreousness of durum

wheat is also a measure of quality. If the wheat is vitreous, it means that the wheat is of good

quality. If not, then it is of poor quality. In this study, type-1252 durum wheat seeds have

been separated from junk using 10 morphological properties of wheat seeds and the

vitreousness of wheat is determined through 45 colour features through the uncompressed

video image taken with the camera Prosilica GT2000c. With the purpose of obtaining high

quality vitreous durum wheat storage with no junk, this article has adopted various image

processing techniques from image pre-processing to feature extraction and realized the

classification process with Artificial Neural Network(ANN). The image processing has been

realized in a computer environment and the results show that the image processing is

successful and the determination of vitreous durum wheat seeds and the detection of wheat

seeds from junk was accurate.

KEYWORDS - Blob Analysis, Colour Features, Feature Extraction, Image Processing,

Junk, Morphological Properties, Segmentation, Vitreousness, Wheat Seed



COMPARISON OF CLASSIFICATION TECHNIQUES ON LEAF DATASET

KEMAL TUTUNCU1 , MURAT KOKLU2 , OZCAN CATALTAS3


ABSTRACT

Data mining means analysing data and extracting useful information from it. One of the

leading areas of data mining is classification. In this study, 12 different classification

algorithms namely Best First Tree (BF Tree), Decision Stump, Functional Trees (FT), J48,

J48 Graft, Least Absolute Deviation Tree (LAD Tree), Logistic Model Tree (LMT), Naive

Bayes Tree (NB Tree), Random Forest is applied to leaf dataset obtained from UCI Machine

Learning Repository. When the obtained results were compared, it has been seen that highest

accuracy ratio was obtained as %80 by Logistic Model Tree (LMT) whereas lowest accuracy

ratio was obtained as %7.64 by Decision Stump.

KEYWORDS - Tree Based Classification, Data Mining Technique, Classification

Techniques, Leaf Dataset.



IMAGE STEGANOGRAPHY METHODS AND PERFORMANCE COMPARISON

KEMAL TUTUNCU1 , BARIS DEMIRCI2


2 Bahcelievler Turk Telekom Mesleki Ve Teknik Anadolu Lisesi, Turkey

ABSTRACT

Providing confidentiality is one of the major issues in communication systems today. In

applications where confidentiality is an indispensable importance; the basic aim is to send

the concealed information without going into the hands of a third party or in the form such

a way that receiver other than desired one will not be able to understand the information.

Additionally, it is undesirable to see the disclosure of hidden information by third party in

case of being captured. Combination of developments in the field of data communication

and storage capabilities and increased the production of digital cameras has led to

unprevented growth of data. In addition, serious discussions are going on for data security

due to widespread usage of machines such as computer, mobile phone and etc. by anyone

with any sense. Cyber-attacks to privacy fields such as banking, national security, medical

data, individual private life and etc. increased these discussions and let to increase the

studies in data security discipline of computer science. In this study, one of the commonly

used and favourite topic of computer security called as steganography that aims data

hiding from malicious people were focused on. Basically four steganographic methods

namely least significant bit embedding, random least significant bit embedding, Ez stego

and F5 were described and tested on five (5) sample images and the results were

evaluated. Chi-Square Test, Computational Complexity, and Peak Signal-to-Noise Ratio

Test were used as test tools. It has been seen that F5 algorithm have the best result

regarding to Peak signal to distortion, Chi-square and Computational Complexity tests

whereas least significant bit embedding algorithm have the best results regarding to

Structural Similarity Index Test (SSIT) and Capacity Test.

KEYWORDS - Ez stego, Least Significant Bit Embedding, F5, Chi-Square Test,

Steganography



REVIEW ON NATURAL LANGUAGE PROCESSING

KEMAL TUTUNCU1


ABSTRACT

Natural Language Processing (NLP) is the computerized approach to analyzing text that is

based on both a set of theories and a set of technologies. NLP is an area of research and

application that explores how computers can be used to understand and manipulate natural

language text or speech to do useful things. Although most NLP techniques inherit largely

from Linguistics and Artificial Intelligence, they are also influenced by relatively newer

areas such as Machine Learning, Computational Statistics and Cognitive Science. Mostly

available tasks of natural language processing are: analysis of discourse, morphological

separation, machine translation, generation and understanding of natural language,

recognition of named entities, part of speech tagging, recognition of optical characters,

recognition of speech and analysis of sentiments etc. Having done in this study well known

methods used in Natural Language Processing were discussed.

KEYWORDS - NLP natural language processing;,Linguistic, Artificial

Intelligence,Machine Learning,Cognitive Science



REPRESENTATION OF FUZZY SETS BY PRIMAL MEASURE SPACES

MUSTAFA DEMIRCI1

1 Akdeniz University Faculty Of Sciences Department Of Mathematics Antalya Turkey,

Turkey

ABSTRACT

L-fuzzy sets are natural generalization of fuzzy sets replacing the unit interval [0,1]-the scale

of membership grades-with a general bounded lattice L [1,2]. Interval-valued (fuzzy) sets,

intuitionistic (fuzzy) sets, type-2 fuzzy sets, (fuzzy) soft sets, which have numerous

applications in soft computing and fuzzy systems, are also particular L-fuzzy sets as well.

Representation of L-fuzzy sets by ordinary sets, especially by cut-sets, is one of the well-

known issues in fuzzy set theory [5]. In a way different from that representation, we present

a representation of L-fuzzy sets by L-primal measure spaces providing a common

framework for measure spaces, probability spaces, possibility spaces [3] and plausibility

spaces [4]. We then show how this representation leads to categorical connections between

L-fuzzy sets and L-primal measure spaces. Such connections will be the main topic of this

talk. To be more precise, we will establish a dual adjunction between the category of L-

fuzzy sets [2] and the category of L-primal measure spaces. In particular, we are also

interested in how this adjunction can be restricted to a dual equivalence.

KEYWORDS - Fuzzy Sets ,Soft Computing,Fuzzy Systems,Measures,Possibility

Measures,Category, Adjoint functors



DEVELOPMENT OF AN EXPERT SYSTEM BASED DECISION SUPPORT

SYSTEM IN POISONINGS FOR POISON INFORMATION CENTERS

MURAT AYKANAT1 , OMER FARUK BAY2

1 Yildirim Beyazit University, Turkey ; 2 Gazi University, Turkey

ABSTRACT

The purpose of this study is to speed up the decision making process in poisonings for poison

information centers and other health institutes. That’s why decision support system software

was developed using an expert system. The system was implemented as a rule-based expert

system. A knowledge base and an inference engine are the two major components of the

system. The information used in this software was gathered from many trusted medical

sources such as medical journals, books and articles that are available to public and

integrated by an expert toxicologist. The aim of this decision support system (PAEON) is to

evaluate clinical and observatory phenomenon and give out percent probability of

poisonings that patients may be affected by. The proposed software was developed in C#

using Visual Studio 2013 environment with .NET framework. As a result, the developed

software takes the clinical user input and gives out a list of poisoning agents sorted by their

relevance. User can then see information and treatment about these poisoning agents.

KEYWORDS - Decision making systems, medical decision support systems, expert

systems, poisoning, poison information centers



COOPERATING AND FLOWING METHODS FOR MEASUREMENT OF

NUCHAL TRANSLUCENCY

DOMENICO TEGOLO1 , CESARE VALENTI2 , GIUSEPPA SCIORTINO3

1 University Of Palermo, Italy ; 2 University Of Palermo, Italy ; 3 University Of Palermo,

Italy

ABSTRACT

The measurement of the nuchal translucency thickness is being used as part of routine

ultrasound scanning during the end of the first trimester of pregnancy, for the screening of

chromosomal defects, as trisomy 13, 18 and 21. At present the measurement is performed

manually by expert physicians although it is still prone to errors. We propose a methodology

to support the physician in the automatic identification of mid-sagittal sections which are a

key requirement to make the correct measurement of nuchal translucency. The proposed

methodology is mainly based on wavelet analysis and neural network classifiers to detect

the frontal components of the skull of the fetus and on radial symmetry analysis to detect

the choroid plexus.

KEYWORDS - Accuracy in prenatal diagnosis: detection and measurement of nuchal

translucency



A NOVEL TREE DESIGN TO DETERMINE CONSERVED REGIONS

ONUR CAKIRGOZ1 , SULEYMAN SEVINC2

1 Dokuz Eylul University, Turkey ; 2 Dokuz Eylul University, Turkey

ABSTRACT

Identification of conserved regions between individuals of the same species is a problem in

bioinformatics. Sequence alignment algorithms are fundamentally used for the solution of

this problem. These algorithms are also used to detect variations and the type of the data

that they process for these two purposes is raw sequence data. If the variation data is already

available in our hands, and if we aim to identify conserved regions by using this variation

data, either we should apply the sequence alignment algorithm after converting variation

data into raw sequence data or it is necessary to develop a new method. Since the regions

other than the variations are conserved regions, we might re-define the problem as “finding

remaining intervals after extracting various intervals from a particular beginning interval”.

Here, by the notion “remaining intervals”, we mean conserved regions. Since the problem

is related to the intervals, the first data structure which comes to mind is interval tree to solve

it. Interval tree data structure is used for the solution of problems related to duration or

interval and it is generated by augmenting red-black tree which is one of the balanced trees.

Therefore, operations such as insert, delete, and search run in Θ(log n) time on interval trees

in the worst case. But, although we can use interval trees for the solution of the problem,

extraction algorithm runs in Θ(n) time in the worst case. Other data structures can also be

used for the solution of this problem, but unfortunately they have performance problems.

To get rid of these disadvantages, the necessity of developing a new data structure is clearly

obvious. Thus, we propose a novel tree design and associated algorithms specifically for the

solution of this problem. The tree designed will be highly efficient both in terms of space

complexity and in terms of algorithms’ running time complexity.

KEYWORDS - conserved regions,interval tree,multiple sequence

alignment,variations,human genome



FUZZY LOGIC CONTROL SYSTEM WITH HELICOPTER TAKE OFF AND

LANDING

MURAT HACIMURTAZAOGLU1 , NOVRUZ ALLAHVERDI2

1 R T Erdogan University Rize, Turkey ; 2 Kto Karatay University Konya, Turkey

ABSTRACT

In the study, a fuzzy logic control system was designed for helicopters to enable their takeoff

and landing with fuzzy logic. For this aim, a model helicopter and a test platform was built

to test helicopter motions. The vertical motion control of the helicopter over the axis

determined by the fuzzy logic control system was achieved with four degree of freedom.

The general structure of the helicopter system, mathematical modeling, flight motion

control, the concept of fuzzy logic, fuzzy logic control system, and fuzzy modeling were

examined. For the control of the model helicopter, a fuzzy logic controller was designed

with Arduino and C# programs and then the analyses of the motion control were conducted.

In the light of the studies, the real-time control of the helicopter was investigated

experimentally on the test platform. During the controls, the axis values of the helicopter

were sent to the computer by IMU, which is attached on the model. Also, the distance was

determined with an ultrasonic distance sensor, read through Arduino, and then sent to the

computer. Some codes were written in C# program to make those values significant. Input

values were performed by processing the data with the designed controller program. Net

values were obtained after the input values were processed with the controller algorithms.

The net values were conveyed through the motors of the model with the help of Arduino

and then the motions of model helicopter were controlled in the target direction. To

conclude, the motion control of the helicopter on the vertical axis was investigated

empirically and with simulations.

KEYWORDS - Fuzzy logic, fuzzy logic control system, landing and takeoff of a

helicopter, helicopter control, Arduino



DEVELOPMENT OF WEB APPLICATION FIREWALL INTERFACE WAFI

ADEM TEKEREK1 , OMER FARUK BAY2

1 Gazi Universitesi, Turkey ; 2 Gazi Universitesi, Turkey

ABSTRACT

Web application firewall (WAF) is a web server plugin, filter or a dedicated application that

applies a set of rules to HTTP requests and responses. Generally, these rules cover common

web based attacks such as SQL injection and cross site scripting (XSS). By customizing the

rules of WAF, web based attacks can be identified and blocked according to the application

or system administrator preferences. User interface (UI) design focuses on anticipating what

users might need to do and ensuring that the interface has elements that are easy to access,

understand, and use to facilitate actions [1]. WAF UI is as important as WAF detection

performance. In this study, a WAF user interface (UI) was developed which was named

WAFI. WAFI is a flexible interface that can manage detection of web based attacks.

Therefore, the proposed UI is being thought to contribute to the WAF literature.

KEYWORDS - Web Application Firewall, User Interface,Usability



A SUGGESTION FOR A NEW E GOVERNANCE SYSTEM IN THE WHEAT

SUPPLY PROCESS

ABDULLAH OKTAY DUNDAR1 , KENAN PEKER2 , MAHMUT TEKIN3 , MEHMET

AKIF SAHMAN4 , MUSTAFA BUBER5

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

; 4 Selcuk University, Turkey ; 5 Selcuk University, Turkey

ABSTRACT

Previously in Turkey, there have been no information systems used by buyers and suppliers

in the wheat supply process. In general, the supply process has previously been

accomplished through personal meetings or through the stock market. After loading their

wheat on vehicles, farmers take the wheat to potential buyers (e.g. flour mills, merchants,

stock market, Agricultural Products Office [APO]). The buyers evaluate the wheat using

laboratory facilities, or by observation, and offer a price to the farmers. If there is a deal, the

sale is realized. If there is no deal, the farmers take the wheat to other potential buyers and

follow the same process again. This leads to unnecessary transportation, and an unnecessary

increase in costs. This study proposes a wheat supply e-governance system to eliminate

unnecessary transportation, and create a new communication channel between buyers (flour

mills as the end buyers) and suppliers (farmers). This system will enable a reduction in the

length of the supply chain, building faster communication between the members of the

supply network, and will reduce the costs of buying and carrying wheat. In addition, the

agricultural consultancy system will be operated more effectively, and farmers will be able

to learn about their own analysis results from the system. The research is backed by the

Ministry of Science, Industry and Technology as SANTEZ project No: 0509.STZ.2013-2

for a Ph.D. thesis. .

KEYWORDS - Agricultural Supply Chain Management, Grain Supply Chain

Management, Wheat Supply, E-Governance



MODELLING AND IMPLEMENTATION OF A VIRTUAL WAREHOUSE

THROUGH JASON AND RMI

IGLI HAKRAMA1 , REZART TABAKU2

1 Epoka University, Albania ; 2 Epoka University, Albania

ABSTRACT

An evolving competitive business environment calls for innovative solutions. In response

to the classical warehouse problem, in this paper we propose a new solution based on multi-

agent system by implementing an agent-based virtual warehouse simulator. We firstly give

a conceptual model of how the agent-based virtual warehouse should work, and then we

present and explain some of the main parts by providing also the proper UML diagrams

related to them. The implementation of this simulator is presented and the corresponding

technologies of Jason as the multi-agent system framework, JavaFX for building the scene

where the simulation will be shown and the remote method invocation (RMI) as the

connector between them are explained. Our simulator aims to test real setups of warehouses,

in terms of incoming and outgoing orders, workers, warehouse layout and so on. Details of

the warehouse functionalities, implementation of the simulator, and an evaluation of the

simulator’s performance are presented as are recommendations for future multi-agent based

simulators.

KEYWORDS - multi-agent system, warehouse problem, agent-based virtual warehouse,

simulation, Jason, RMI



A CONSTRUCTION AND EVALUATION METHODOLOGY FOR COLOR

PALETTES OF INFORMATION REPRESENTATION

R TANJU SIRMEN1

1 Piri Reis University Istanbul Technical University, Turkey

ABSTRACT

Colors are used as effective tools of representing and transferring information in a number

of application areas like machine or computer vision, color matching or sorting, WDM in

fiber optics, barcodes and such. The number of colors in a palette is the direct arbiter of the

information conveying capacity. Yet it should be well elaborated since increasing the

entropy by adding colors comes with its cost. Besides, one of the most vital and challenging

tasks in designing 3D codes is the selection of robust set of colors for encoding data, as the

palette quality is the major determinant on the reliability of the color discrimination. Despite

its acknowledged importance and conceivable effects upon diverse applications, plausible

methodologies for constructing and evaluating color palettes seem deficient. Here in this

study, this need is being addressed from an information-theoretical perspective. A proper

approach for source palette construction and evaluation is proposed, via the articulated

metrics and formulae for comparing palettes of the same and different sizes. Numerous

palettes are developed through the offered construction methodology, and the proposed

metrics are computed for some developed as well as known palettes. As the observed results

cultivated from the comparisons are evaluated, it is seen that fairly better designs could have

been attained. The methodology, independent of the coding system, can be applied to

axiomatically unlimited number of colors.

KEYWORDS - Color Codes, 3D Codes, Computer Vision, Coding Theory, Information

Theory



DESIGN AND IMPLEMENTATION OF ANDROID SMARTPHONE GAME APP

FOR TCG USING UNITY

HANKYU LIM1

1 Andong National University, Korea Republic Of

ABSTRACT

A number of people use smart phones for various purposes, including acquisition of data

and information, communication, and leisure activities. Accordingly, smart phone

applications for various purposes have been developed, and the mobile game industry is

rapidly growing as people use smart phones for the leisure time. Unity-based mobile games

have an increasing share in the smart phone game market. In this study, a trading card game

(TCG) that anyone can easily enjoy by choosing the difficulty level was developed on the

basis Unity by using artificial intelligence in contrast to the conventional TCGs.

KEYWORDS - Mobile Application, Android, Unity, TCG Game Application, AI



DETERMINING A SIEVE PASSAGE FOR FLOUR QUALITY

MEHMET AKIF SAHMAN1 , ABDULLAH OKTAY DUNDAR2

1 Computer Science, Turkey ; 2 Logistic, Turkey

ABSTRACT

In flour factories, the production of flour starts with grinding the wheat in rollers. Later, the

flour is divided into its components including white flour, brown flour, rough bran and fine

bran. These components are connected to the two screws under the square sieve, and this

provides two qualities of flour in each batch of production. There may be 4, 8 or 16 passages

under the square sieve depending on the sieve capacity. There are four exits in each passage.

The products flowing out of these exits each have different quality characteristics. Thus,

having two different qualities of flour requires connection each exit to either one of the exits

under them. This study was intended to determine which passage exit should be connected

to which one of the flour screws in order to obtain the desired flour quality. There is

information about the quality characteristics of the substances coming from each exit. The

study implementation was performed in a factory that used four square sieves with four

passages each. The study also determined which of these 64 exits should be connected to

which screw. The problem was modeled using mixed integer linear programming, and the

implementation was prepared using .Net technologies. The study also used Microsoft Solver

Foundation 3.0.2. The results of the study met the desired quality values precisely.

KEYWORDS - Passage determine,Flour production,Mixed Integer Linear Programming



THE IMPLEMENTATION OF WELDING QUALITY DESIGNATOR

SOFTWARE AS AN IOT SOLUTION FOR THE WELDING DEVELOPMENT

KARINA KARAPETYAN1 , ANSSI SUHONEN2 , LAURI ALONEN3 , KARI

SOLEHMAINEN4

1 Savonia University Of Applied Sciences, Finland ; 2 Savonia University Of Applied

Sciences, Finland ; 3 Savonia University Of Applied Sciences, Finland ; 4 Savonia

University Of Applied Sciences, Finland

ABSTRACT

The Client-Server software “Welding Quality Designator” is one of the research areas of

DigiBoost project (2015-2016), directed by Savonia University of Applied Sciences. The

goal of the project is to elaborate an IoT application for exploring various modes of welding

processes, due to the real-time data transfer from the welding laboratory. “Welding Quality

Designator” is a brand-new software solution for the manufacturing industry that offers the

internal analysing of the welding operations. The laser-hybrid welding station of Savonia

UAS is the resource of the welding data. The project’s server is responsible for the

asynchronous interaction with the welding station, web client service and generation of the

welding analysing samples. The server software obtains sundry properties of the robot’s

occupational processes in the real-time: 1. Employed system features; 2. Designation of the

running tasks; 3. Allocation parameters; 4. Occurring alarms and errors; 5. Special operation

status, etc.; In order to evaluate the welding quality, the server considers divergent welding

factors: 1. Beam Quality; 2. Brightness; 3. Effect of Spot Size; 4. External imperfections; 5.

Welding shear strength and the base-metal stress; 6. Laser energy transfer efficiency and

melting efficiency; The major purpose of the client web application is to visualise the results

of the weld analysing. Therefore, every end-user, even without IT background, can learn

about weld procedures and utilise the provided features: deploying an analysing model of

the welding process with the respect to the research date and experiment number as well as

modification of the existing samples. “Welding Quality Designator” executes real-time

analysing regarding robot’s operation and management, estimates performance and quality

indices of the welding procedures on the timely basis. The system provides a detailed

technical model for carrying out strategic and efficient decisions for establishing further

targets of welding enhancement.

KEYWORDS - Welding,Software,Analysing,Quality



TROUBLESHOOTING ANALYSIS IN TELECOMMUNICATION SERVICES

BURCU ORALHAN1 , ZEKI ORALHAN2 , KUMRU UYAR3 , NILSUN SARIYER4

1 Nuh Naci Yazgan University, Turkey ; 2 Turk Telekom, Turkey ; 3 Nuh Naci Yazgan

University, Turkey ; 4 Nuh Naci Yazgan University, Turkey

ABSTRACT

After sale service is one of the most important aspects of any business. In telecommunication

companies come face to face with many failures about services that they offer to customer

and they must deal with these failures. Troubleshooting management system is acting very

crucial role in after sales service for customer satisfaction, retention and loyalty. In this

study, we investigate the effect of 8 factors on troubleshooting analysis in

telecommunication services via data mining methods. Troubleshooting management system

in database is used to provide data. The data source variables are Central, Course Cabinet,

Building Box, Team Number, Failure Team Work Order, Notification Time, Work Order

Completion Time, Service Type. The data is examined in open access data mining program.

Selected classification algorithm performance are compared and clustered by simple K

means method. We will determine the performance of failure type on troubleshooting

services. As a result of this research we have touched on an interesting point of

troubleshooting services about telecommunications data.

KEYWORDS - Troubleshooting Analysis, Telecommunication Services, After Sale

Services, Knowledge Discovery in Database, Data Mining



PREDICTION OF ORTHOPEDIC DISEASE BY ARTIFICIAL NEURAL

NETWORK

ALI YASAR1 , ISMAIL SARITAS2


ABSTRACT

In this study, using artificial intelligence techniques and using neural network method of

biomedical data obtained from patients in the orthopedics department has attempted to

determine whether they have disc herniation or spondylolisthesis or they are normal. For

this purpose, Each patient is represented in the data set by six biomechanical attributes

derived from the shape and orientation of the pelvis and lumbar spine (in this order): pelvic

incidence, pelvic tilt, lumbar lordosis angle, sacral slope, pelvic radius and grade of

spondylolisthesis data are used. At the end of this process, doing classification is attempted

as normal or abnormally. There are 6 entries in the artificial neural network, and we've

incorporate into the hidden layer to constructing the system. These 6 entry parameter reach

our hidden layer which have 6-layer and then classification process is performed with an

output processed from here.

KEYWORDS - ANN, Disk Hernia and Spondylolisthesis, Artificial Neural Network,

Machine Learning Database.



PREDICTING NUMERICAL AND VERBAL INTELLIGENCE FROM FINGER

2D 4D RATIO

EYUP BURAK CEYHAN1 , KADRIYE ONER2

1 Bartin University, Turkey ; 2 Ankara University, Turkey

ABSTRACT

Golden ratio, which can be found in almost every limb of the human body, also can be found

in fingers and expressed as 2D:4D. This ratio is the ratio of index finger to ring finger. In

this study, numerical and verbal intelligence predisposition of the individuals from 2D:4D

ratio was studied by using machine learning techniques. Lengths of right hand index and

ring fingers of 79 males and 79 females were measured with a digital calliper that has a

precision of 1 mm. Also, age and gender information and professional field information of

the individuals were used for classifying. Obtained data were trained and tested by J48,

NBTree and LADTree classification algorithms. The success of the system was obtained as

75.32% by using J48 algorithm with 9-fold cross validation technique. This is the first study

that investigates Turkish people for predicting numerical and verbal intelligence from finger

2D:4D ratio.

KEYWORDS - 2D:4D,FINGER RATIO,NUMERICAL INTELLIGENCE,VERBAL

INTELLIGENCE,MACHINE LEARNING



PHASE SHIFTING TRANSFORMERS A SURVEY ON CONTROL AND

OPTIMIZATION STRATEGIES

MEHMET TUMAY1 , TUGCE DEMIRDELEN2 , SELVA BAL3 , ABDULLAH

CICIBAS4 , AHMET KEREM KOSEOGLU5 , MAHMUT AKSOY6 , BURCU DOGRU7

1 Cukurova University, Turkey ; 2 Cukurova University, Turkey ; 3 Iskenderun Technical

University, Turkey ; 4 Best Transformer, Turkey ; 5 Best Transformer, Turkey ; 6 Best

Transformer, Turkey ; 7 Cukurova University, Turkey

ABSTRACT

Recent years, the phase shifting transformers (PSTs) have an important role on the flexible

and economic aspect of the electricity transmission over the parallel transmission lines

compared to flexible alternating current transmission system devices, such as dynamic flow

controller and unified/interline power-flow controller. Using a PST, power flow can be

controlled by changing the phase shift angle between the PST source and load side voltages,

respectively. In addition, PST contributes to increase transmission capacity. The controller

design of PST is a significant and challenging task due to its impact on the performance and

stability of the overall system. For this reason, the system control methods are studied in

literature. Furthermore, unscheduled power flow problems are solved with using advanced

optimization techniques in research articles. This paper presents a survey on control and

optimization strategies of PST. It is aimed at providing a broad perspective on the status of

PST technology to the researchers and the application engineers dealing with power quality

issues. A list of more than 30 research publications on the subject is also appended for a

quick reference.

KEYWORDS - Phase shifting Transformer,Power flow Control,Control

Strategies,Survey,Optimization,review



DETERMINING AMOUNTS OF ENERGY SAVER DEVICES IN AN

ELECTRONIC INDUSTRY USING FUZZY LINEAR PROGRAMMING

CAGATAY TEKE1 , ALPER KIRAZ2

1 Sakarya University, Turkey ; 2 Sakarya University, Turkey

ABSTRACT

Rapid and accurate decision making is not only important for people but also for

organizations. However, uncertainty makes decision making difficult. Fuzzy logic approach

is deal with uncertainty situations. Namely, fuzzy logic is a precise logic of uncertainty and

approximate reasoning. Besides, Fuzzy Linear Programming (FLP) is also known as a

strategy that can take into consideration to fuzziness. Determining amounts of production is

one of the most important factors effecting the profitability level of enterprises. The aim of

this study which is prepared since classical mathematical programming models are

inadequate to examine situations that consist of uncertainty; is to bring up how FLP model

for providing the best decision making under fuzzy environments can be used at determining

amounts of energy saver devices. Required data is obtained and the problem is figured out

via Zimmerman approach which is one of the approaches for FLP. In this way, problems

that may occur such as cost, waste of time, overstock and customer loss will be prevented.

As a result, the solution gives the amount of production for each energy saver device in

order to get optimal solution for profit maximizing. This study makes a contribution to

practicality of FLP, by supplying a wider moving area than classical set theory to decision

makers.

KEYWORDS - Fuzzy linear programming,production planning,electronic industry



GROUND MOVING TARGET DETECTION PERFORMANCE OF DISPLACED

PHASE CENTER ARRAY METHOD FOR AIRBORNE PASSIVE RADAR

NECMI SERKAN TEZEL1 , FABIOLA COLONE2 , PIERFRANCESCO LOMBARDO3

1 Karabuk University, Turkey ; 2 University Of Rome La Sapienza, Italy ; 3 University Of

Rome La Sapienza, Italy

ABSTRACT

In this study, ground moving target detection performance of displaced phase center array

(DPCA) method for airborne passive radar, which uses FM radio signals for transmitter of

opportunity, is evaluated by using improvement factor (IF) as a metric. Discreate patch

approximation with Rayleigh distribution in amplitude and uniform distribution in phase is

used for modelling ground reflectivity. By using reflectivity model, the clutter in

surveillance channels are modelled by superposition of delayed and doppler shifted version

of transmit signal. Target signal is also modelled as delayed and Doppler shifted version of

transmit signal depending on target range, angular location and velocity. Range-doppler

maps for each surveillence channel with appropriate time separation are obtained by two

dimensional cross correlation (2D-CCF) with delayed and doppler shifted version of

reference channel signal which is assumed to be clutter free. Subtraction of two range

Doppler maps gives DPCA result. Four different FM radio waveforms are used for

evaluating the performance of DPCA method. It is observed that target signal response of

DPCA method for passive radar has same characteristics as active radar. It is also observed

that DPCA method can provide up to 27dB improvement and does not give any

improvement for absolute bistatic doppler less than 7Hz and more than 60 Hz.

KEYWORDS - passive radar, displaced phase center array



BEARING FAILURES DETECTION IN INDUCTION MOTORS USING THE

STATOR CURRENT ANALYSIS BASED ON ENSEMBLE EMPIRICAL MODE

DECOMPOSITION

SAADI MOHAMED NACER1 , BOUKHENAF MESSAOUD2 , REDJATI

ABDELGHANI3 , GUERSI NOUREDDINE4

1 University Badji Mokhatar Annaba, Algeria ; 2 University Of Jijel, Algeria ; 3 University

Badji Mokhatar Annaba, Algeria ; 4 University Badji Mokhatar Annaba, Algeria

ABSTRACT

Fault detection is a major challenge for the maintenance of asynchronous motors. The

bearings defects are the most important defects that can occur in these. In this context, we

propose a new approach for the detection of these defects based on the analysis of the stator

current. The EEMD is applied to the stator current experimental data of the asynchronous

motor subjected to various loads in healthy and failing case. The results of the analysis of

the signal envelope consisting of the sum of some IMFs obtained by the algorithm of the

EEMD allowed us to get a better discrimination of various defects.

KEYWORDS - Fault detection, induction machines, bearing failure, EEMD



NONLINEAR ADAPTIVE CONTROL OF A FERMENTATION FED BATCH

PROCESS

DAN SELISTEANU1 , MONICA ROMAN2 , DIANA ADRIANA POPA3 , EMIL

PETRE4

1 University Of Craiova, Romania ; 2 University Of Craiova, Romania ; 3 Calafat Mill,

Romania ; 4 University Of Craiova, Romania

ABSTRACT

Despite the remarkable progress in the field of bioprocess monitoring and control, the

development and implementation of modern control techniques are slower in comparison

with other areas. This delay comes mainly from two particularities of the bioprocesses. First,

the modelling of such processes is a very difficult task (nonlinearities, uncertainties, delays,

etc.). The second reason is related to the absence of cheap and reliable instrumentation, able

to measure online and in real-time the biological and biochemical variables (intra- and inter-

cellular concentrations, biomass and substrate concentrations etc.). A solution for these

problems is the design of the so-called software sensors (estimation algorithms), which can

be used in some adaptive control schemes. This work proposes a nonlinear adaptive control

scheme for a typical fermentation process that takes place inside a fed-batch bioreactor. In

order to obtain a good control solution, several issues related to the modelling, state and

kinetic estimation are first approached. More precisely, by using the nonlinear model of a

microbial growth process combined with an enzyme-catalyzed reaction, an asymptotic

observer for the reconstruction of the unmeasurable states (concentrations) is designed.

Also, estimation algorithms for the uncertain kinetic parameters are developed. Finally,

these estimation algorithms are used in order to design an adaptive control scheme able to

cope with several problems such as uncertainties, disturbances and lack of instrumentation.

The adaptive control law is designed as a combination between a linearizing control law and

the proposed estimation algorithms. Several numerical simulations are performed in order

to test the proposed estimation and control techniques.

KEYWORDS - Adaptive control, Biotechnology, Fermentation processes, Modelling,

Nonlinear observers



HYBRID TYPE OF PHOTONIC ANALOG TO DIGITAL CONVERTERS

NISA NACAR CIKAN1 , MURAT AKSOY2

1 Cukurova University, Turkey ; 2 Cukurova University, Turkey

ABSTRACT

Optical Analog to Digital converters (OADCs) provides very high speed communication for

bandwidth hungry applications and resolution. Photonic A/D converters exploit advantage

of high speed sampling and high resolution of electronic ADCs and they have reached

significant performances. Photonic A/D converters are studied in four categories which are

photonic assisted analog to digital converters, electronic sampling and photonic quantizing

analog to digital converters, photonic sampling and electronic quantizing analog to digital

converters and photonic sampling and quantizing analog to digital converters. In this work,

hybrid analog to digital (A/D) converters are reviewed in some important aspects. In

particular, improvements and advantages of time stretching, time interleaving and WDM

channelized A/D converters are analyzed.

KEYWORDS - Analog to Digital Converters, Photonics, Hybrid, Time Stretching, Time

Interleaving



CURRENT SITUATION AND FUTURE PROSPECT IN TURKEY S

ELECTRICITY SECTOR

MEHMET CUNKAS1


ABSTRACT

Turkey's electricity sector is a growing industry for the past 20 years. Recent forecasts show

that this trend will continue as a result of industrialization and strong economic growth.

Turkey’s installed electric generating capacity is approximately 78GW in 2016 and expected

to increase by 120GW in 2023. Conventional thermal sources had the largest share in the

electricity supply. The hydroelectric generation becomes still one of the major resources in

the electricity sector. The conventional resources except for lignite and hydro in Turkey are

not sufficient to meet the energy demand. Around 30 percent of the total energy demand is

currently met by the domestic resources. Turkey gives priority to generate electricity from

the domestic sources by using new technologies with environmental sensitivity. In order to

reduce the import dependence, Turkey has increased the investments on coal and

hydropower sources. The utilization of renewable energy sources is also being encouraged

in order to decrease the greenhouse gas emission. Turkey has not built commercial nuclear

power plant; however, the first nuclear power plant has begun to install in 2014 with a

capacity of 1200MW and it is expected to be completed by 2022. Turkey gives a great

importance to the private sector investments for meeting Turkey’s rising energy demand.

This paper deals with the current situation and future prospect of the installed capacity,

electricity generation and consumption in Turkey

KEYWORDS - Energy, Electricity Consumption, Electricity Generation, Turkey



IDENTIFICATION AND TRACKING SYSTEM FOR DOMESTIC FARM

ANIMALS

ALI SAIT OZER1 , MEHMET CUNKAS2

1 Selcuk Univeristy, Turkey ; 2 Selcuk University, Turkey

ABSTRACT

In this study, by using embedded system a programmable pulse control device - suitable for

the portable milking machines has been developed. Thanks to the electronic pulse device

controlled by embedded systems, the problems arising in pneumatic pulsators are

eliminated. Also an embedded system design that recognizes the individual cows, measure

milk yield and record all of the data has been performed

KEYWORDS - Dairy cattle, computerized herd management, automation systems,

embedded systems.



LOADING ASSESSMENT OF LV AND MV CABLES SYSTEM LAID INTO

SAME TRENCH IN DISTRIBUTION NETWORK

OKTAY ARIKAN1 , BARIS KUCUKAYDIN2

1 Yildiz Technical University, Turkey ; 2 Kirklareli University, Turkey

ABSTRACT

Low voltage (LV) and medium voltage (MV) cables are laid into the common or separate

cable trenchs in distribution networks. Underground cables thermal distribution differ

greatly based on different loading levels and laying conditions. Therefore, thermal and

ampacity analysis of such systems become crucial. In this study, analysis are realized for

the cable system that consist of three adjacent MV cables and two LV cables with different

cross sections. Analysis are carried out for various case scenarios that are determined

according to ampacity values of MV cables. The scenarios are simulated in Comsol

Multiphysics. In accordance with temperature data obtained in the program, ampacity values

are indicated and lifetime prediction calculations are achieved for MV cables in various

loading conditions in the range of 100% - 120%.

KEYWORDS - underground cable,thermal analysis,lifetime prediction,ampacity,low

voltage cable



LOW COST HIGH RESOLUTION POSITION SENSOR WITH SUB MICRON

ACCURACY

CLAUDIO PASSERONE1

1 Politecnico Di Torino, Italy

ABSTRACT

High accuracy position sensor are very important devices in some high end applications.

Currently available commercial sensors are able to achieve sub-micron precision, but are

quite expensive because they require accurate mechanical machining. This paper propose a

technique to achieve the same precision, but using low cost components only, albeit with

some limitations. A preliminary study for the feasibility of this sensor is presented.

KEYWORDS - Correlation, Image sensors, Sensor systems and applications, Image

registration, Metrology.



COMPUTATIONAL INVESTIGATION OF 3 AMINO 4 BOC AMINO PYRIDINE

HATICE VURAL1 , MEHMET KARA2

1 Amasya University, Turkey ; 2 Amasya University, Turkey

ABSTRACT

The molecular modeling of 3-Amino-4-(Boc-amino)pyridine has been carried out using the

B3LYP, CAM-B3LYP and B3PW91 levels of density functional theory (DFT) [1-3]. The

vibrational frequencies in ground state have been calculated by using the three different

levels. Highest occupied molecular orbital (HOMO) and lowest unoccupied molecular

orbital (LUMO) energies of the molecule have been investigated using the density

functional theory (DFT). The hardness, softness and electronegativity have been evaluated

using DFT/B3LYP method with the 6-31G+(d,p) basis set. The nonlinear optical (NLO)

parameters have been calculated by using the DFT method with different functional.

KEYWORDS - DFT,NLO,FTIR,Energy



SMALL SIGNAL ANALYSIS OF CASCADE DC DC BOOST CONVERTER

CONTROLLED WITH PI

NACI GENC1 , SUDE KART2

1 Yuzuncu Yil University, Turkey ; 2 Hakkari University, Turkey

ABSTRACT

This study presents small signal analysis of cascade DC-DC boost converter controlled via

PI. Since the controller design of nonlinear DC-DC converters is important, small signal

analysis and transfer functions are needed to control to these kind systems properly. In this

study, firstly the state-space average model of the cascade DC-DC boost converter is

obtained. Then the matrix form of the state-space average model is used to derive the small

signal equations of the circuit. The transfer functions of the circuit are determined by

implementing Laplace transform. Finally, the obtained transfer functions are simulated in

Matlab/Simulink program.

KEYWORDS - Cascade boost converter; small signal analysis; PI Control



CROSS CORRELATION BASED LEVEL MEASUREMENT METHOD FOR

GRAIN SILOS

ENES YIGIT1 , HAKAN ISIKER2 , HUSEYIN DUYSAK3

1 Karamanoglu Mehmetbey University, Turkey ; 2 Mersin University, Turkey

; 3 Karamanoglu Mehmetbey University, Turkey

ABSTRACT

Since the grain is one of the basic ingredients for the food industry, knowledge of its quantity

has become a very important issue for human consumption and animal feed. Thus, many

different level and quantity measurement methods has been developed to measure quantity

of stored grain in silos. Among these methods thru-air radar (TAR) has recently become

more popular level measurement technique because of its non-destructive perception ability.

However, both TAR which has to use narrow beam width illumination and other methods

can only measure the level of grain from one point. Since the conical mounds of the grain

cannot be wholly detectable at this type measurement method, whole these methods cannot

give the accurate results. In this study the best correlation search based TAR technique is

firstly used to accurately measure the quantity of grain inside a silo. To test and present the

performance of the developed method, a commercial sized grain silo is constructed and TAR

measurements are performed. By using X-band wide beamwidth electromagnetic

illumination, backscattering radar signs of the probable whole packness levels of the grain

are gathered and recorded to database. Then, the amount of the grain inside a silo is

accurately detected by comparing latter level measurements data with previously recorded

data base signals

KEYWORDS - Silo, Level Measurement, Radar, Remote sensing, Cross Correlation



PRINTED FORM OF LPDA BASED MIMO ANTENNA SYSTEM WITH

NEUTRALIZATION LINE FOR MOBILE TERMINALS

ABDURRAHIM TOKTAS1

1 Karamanoglu Mehmetbey University, Turkey

ABSTRACT

A multiple input multiple output (MIMO) antenna system based on the log-periodic dipole

array (LPDA) was designed for the mobile terminals in this study. The antenna system

consists of two symmetrical and orthogonal radiating elements and a neutralization-line

(NL). The radiating element comprises of a LPDA having a series of printed dipoles

connected together with a microstrip line. The LPDAs were connected with the NL to further

enhance the isolation between the radiating elements. Triangular and rectangular slots were

loaded on the ground in order to increase the impedance bandwidth and isolation. The

performance of the MIMO antenna was tested and verified through simulations and

measurements. The antenna operates in a wide frequency range of 1.86–3.84 GHz

compatible with GSM, LTE, WLAN and WiMAX.

KEYWORDS - Antennas, printed antennas, neutralization-Line, MIMO systems,

wideband, (log-periodic dipole array) LPDA, mobile terminals



AN APPLICATION OF ANN MODEL WITH SCALED CONJUGATE GRADIENT

LEARNING ALGORITHM FOR PREDICTING THE OPERATING FREQUENCY

OF ANNULAR RING PATCH ANTENNAS

AHMET KAYABASI1 , ALI AKDAGLI2

1 Karamanoglu Mehmetbey University, Turkey ; 2 Mersin University, Turkey

ABSTRACT

In this paper, an application of artificial neural network (ANN) using Scaled Conjugate

Gradient (SCG) learning algorithm based on multilayer perceptron (MLP) model is

presented for predicting the operating frequency of annular ring patch antennas (ARPAs) in

UHF band. ARPA constructed by loading a circular slot in the center of the circular patch

antenna is a popular microstrip antenna due to its favourable properties. Firstly, the

operating frequencies of 80 ARPAs having varied dimensions and electrical parameters

were simulated with IE3DTM packaged software based on method of moment (MoM) in

order to generate the data set for training and testing processes of the ANN model. Then

ANN model was built with data set and while 70 simulated ARPAs and remaining 10

simulated ARPAs were employed for ANN model training and testing respectively. The

proposed ANN model were confirmed by comparing with the suggestions reported

elsewhere via measurement data published earlier in the literature. These results show that

ANN model with SCG learning algorithm can be successfully used to compute the operating

frequency of ARPAs.

KEYWORDS - Patch antenna, annular ring patch antenna, operating frequency, artificial

neural network, scaled conjugate gradient



E TEXTILE STRUCTURES FOR ELECTRIC HEAT TRACING APPLICATION

SENEM KURSUN BAHADIR1 , UMUT KIVANC SAHIN2 , AYHAN KURAL3

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

; 3 Istanbul Technical University, Turkey

ABSTRACT

This document presents the introduction of e-textiles structures for electric heat tracing

application. A series of textile transmission lines made of different type of high-resistance

conductive yarns, insulated by using different type of seam tapes was enclosed in a

thermoplastic textile structure via hot air welding technology, hence the e-textile structure

including signal transmission lines was created. E-textile structures were powered with

different level of specific voltages. The resistance heat of the textile transmission lines

showed an increase in the surface temperature of the textile structure and by the way, the

heat is observed over the e-textile structure. Results showed that well designed e-textile

structures covered with welding tapes are good option for maintaining uniform heat

dissemination that can be an option for textile based electric heat tracing application such as

electrically heated garments or for heated smart textiles/wearables where the cold weather

can be a vital issue for human health or textile based underfloor heating.

KEYWORDS - e-textiles, transmission lines, electrical heating, conductive yarns, power,

welding



EFFECTS OF HOME LAUNDERING ON ELECTRICAL RESISTANCE OF

SIGNAL TRANSMISSION LINES ON COLORED E TEXTILES

UMUT KIVANC SAHIN1 , SENEM KURSUN BAHADIR2

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

ABSTRACT

The aim of this work was to investigate the electrical resistance change of electro-textiles

manufactured using cotton fabrics with stainless steel and silver plated PA yarns

incorporation after being subjected to home laundering, i.e. detergent washing and silicone

softening. In order to establish the impact of conductive yarns composition properties in the

fabric, silicone softening followed by detergent washing were applied on various e-textiles

which were previously colored following alternative coloration processes. The success of

this novel e-textile design was evaluated through various linear electrical resistances to

obtain solid statistical conclusions. Electrical resistances of conductive yarns inside the

fabric structure were compared and discussed statistically before and after washing and

softener application. The results provided evidence that detergent washing and silicone

softening have great influence on electrical resistances of conductive yarns used as

transmission lines for electro-textile applications. Greatest changes in electrical resistances

were observed with samples including silver plated PA yarns, probably being more prone

to be affected by mechanical and chemical impacts due to having a two-layered composition.

Moreover, silicone softeners having cationic charges are repelled by metallic portions of the

yarns, locating themselves on the PA portions through the corroded surface of silver plated

yarns, causing decrease in electrons running along the conductive yarn, bringing a decrease

on the conductivity of the yarn. On the other hand, after five washing cycles with detergent,

silicone softening agent is removed from yarns by washing, and conductivity increases.

Further washing of e-textiles with detergent for five more cycles causes decrease in

conductivity, because of chemical effects of detergent and mechanical effects of washing

process such as abrasion due to friction. Detergent which has negative reactive sites bonds

with metal ions and reduces conductivity.

KEYWORDS - conductivity, electrical resistance,signal transmission lines,electro-

textiles,conductive yarn



FEASIBILITY ANALYSIS OF AN OFFSHORE WIND POWER PLANT FOR A

CAMPUS

ILTER SAHIN AKTAS1 , XIZE NIU2

1 Siirt University, Turkey ; 2 University Of Southampton, United Kingdom

ABSTRACT

In recent years, wind energy has become more significant in energy production in terms of

its cost, viability and sustainability. In this paper, an offshore wind power plant is suggested

to meet 40 % of electricity consumption at the University of Southampton. The best location

for the wind turbine is selected by means of some numerical techniques and software

programme. . In addition, each component of the turbine as well as the type of generator and

decision of the foundation are illustrated and discussed in detail. Besides, thermal

management and environmental effects are attentively assessed as renewable energy

technologies are most likely to be considered and built for electricity demands of nations.

The system is proposed with 2 wind turbines with an installed capacity of 1 MW for each.

The overall system is also carefully concluded with an extensive cost analysis.

KEYWORDS - Offshore, wind energy ,energy production ,wind turbine



INVESTIGATION OF ADDING DTBP DI TERTIARY BUTYL PEROXIDE TO

DIESEL ETHANOL BLENDS AT LOW RATES AS CETANE IMPROVER

MURAT CINIVIZ1 , ILKER ORS2 , BAHAR SAYIN KUL3

1 Natural Sciences, Turkey ; 2 Natural Sciences, Turkey ; 3 Natural Sciences, Turkey

ABSTRACT

In this study, effect of adding DTBP to diesel- ethanol blends (E10 and E20) at low rates

(1% and 2%) were examined on performance and exhaust emissions. These blends prepared

by mixing bioethanol, DTBP and diesel are shown as briefly E10DTBP1 (10% bioethanol,

1% DTBP and 89% diesel), E10DTBP2 (10% bioethanol, 2% DTBP and 89% diesel),

E20DTBP1 (20% bioethanol, 1% DTBP and 79% diesel), E20DTBP2 (20% bioethanol, 2%

DTBP and 79% diesel). The results of the study carried out at five different speeds for these

blends were compared with E10 and E20. Maximum brake power has been obtained as 22.34

kW, 24.88 kW, 24.41 kW for E10DTBP2, E20DTBP1, E20DTBP2 at 1400 rpm and 26.85

kW, 23.29 kW and 25.39 kW for E10, E10DTBP1, E20 at 1700 rpm.

KEYWORDS - Bioethanol, Diesel, DTBP Exhaust emissions, Performance



FLOW OF A CHEMICALLY REACTING FLUID IN A PIPE EXPERIMENTAL

STUDY NUMERICAL MODELING AND STABILITY ANALYSIS

HARIJS KALIS1 , MAIJA ZAKE2 , ANDREI KOLYSHKIN3

1 University Of Latvia, Latvia ; 2 University Of Latvia, Latvia ; 3 Riga Technical

University, Latvia

ABSTRACT

The study is motivated by the analysis of energy conversion processes in biomass

combustion systems. Experimental part of the study is performed in a pilot device in the

form of a cylindrical pipe for gasification and combustion of biomass. It has two nozzles:

one for primary air supply and the second – for secondary air supply to generate swirling

flow with the objective to enhance mixing. In addition, the effect of electric field on the

formation of the structure of swirling flame is analyzed. It is shown that variation of the

swirl intensity can improve the combustion conditions and, therefore, increase the rate of

thermochemical conversion of biomass. Numerical part of the study is performed using the

system of inviscid two-dimensional axisymmetric compressible flow equations in the

presence of axially symmetric electric field coupled with two reaction-diffusion equations.

Simple chemical reaction is modeled by the Arrhenius law. Calculations show fast decrease

of the peak flame temperature and velocity in the axial reaction zone for the case of high

swirl intensity. In addition, the reaction zone is found to be radially expanding downstream.

For smaller swirl intesities the length of the flame reaction zone increases. Regions of

reverse flow are found for some combinations of the parameters. Stability analysis is

performed under the assumption that there exists a steady convective motion of a fluid in a

pipe generated by internal heat sources distributed in accordance with the Arrhnenius law.

Steady-state temperature and velocity distribution is found using Matlab solver bvp4c.

Collocation method is used to solve the corresponding linear stability problem numerically.

It is shown that for high Prandtl numbers marginal stability curves contain two minima

(stability decseases as the Prandtl number grows).

KEYWORDS - Reaction-diffusion equations,Biomass,Stability analysis



THE SOCIAL IOT AND SMART GRID

JULIE ALBRIGHT1

1 Usc, United States

ABSTRACT

The context in which energy companies do business is shifting - increasingly, younger

consumers are "untethering" from traditional behaviors common to other generations, like

buying houses, driving, etc. At the same time these consumers are hyper-connected to

mobile social technologies. These major demographic and behavioral shifts are ushering in

new expectations and values within the customer base. This talk will explore these changing

demographic trends, and their application to the smart grid and IoT. How can the energy

sector understand and adapt to this changing customer base? How can social and mobile

technologies be leveraged to help build a new kind of customer relationship to develop the

smart grid and the Internet of me which will resonate with a new connected energy

consumer, to encourage energy and water conservation? This session will explore these

ideas and outline upcoming social technical trends including their opportunities and

challenges.

KEYWORDS - IoT ,smart grid ,EE,distributed generation ,mobility ,Gamification



DESIGNING OF HYBRID STRUCTURE AND OPTIMIZED FUEL

CONSUMPTION STRATEGY FOR PASSENGER VEHICLE

JAVAD REZAEI1

1 University Of Erlangen Nuremberg, Germany

ABSTRACT

Air pollution, limited number of known petroleum resources and increasing of greenhouse

gases have led the governments and researchers to have more investigation on Hybrid

Electric Vehicles. Considering technical availability and manufacturing facilities with

regarding to the final vehicle price, hybridization of conventional vehicles could be a better

choice than designing and manufacturing a new hybrid electric car. Parallel-Series hybrid

electric vehicles (power-split) which is used in this study have low pollution and fuel

consumption compared to other hybrid structures and could be an appropriate choice for

hybridization. In addition, electric assist control strategy (EACS) is used as an efficient

strategy in this study since this method could decrease fuel consumption and engine

emission significantly for conventional vehicles and has been used in most of successful

commercial hybrid vehicles recently. Gt-Power software is used for modelling the Peugeot

206 vehicle platform and the proposed control strategy in this study. For the testing and

validation, standard international cycles for urban and highway (FTP-75 and HFET) are

used for both conventional and hybrid vehicle and results showed significant reduction in

fuel economy for both cycles, in particular for urban cycle, this control strategy had the best

efficiency and fuel consumption reduced up to 27.6%.

KEYWORDS - EACS control strategy, fuel consumption reduction.,Hybrid Electric

Vehicles



CONTROL OF A MANIPULATOR ARM WITH UNCERTAIN DYNAMIC

MODEL BY HYBRID INTELLIGENT SYSTEM ANFIS

MAKHLOUFI FATEH1 , SAADI MED NACER2 , REDJATI

ABDELGHANI3 , GUERCI NOUREDDINE4

1 University Badji Mokhtar Ubma, Algeria ; 2 University Badji Mokhtar Ubma, Algeria

; 3 University Badji Mokhtar Ubma, Algeria ; 4 University Badji Mokhtar Ubma, Algeria

ABSTRACT

The various methods of synthesis of a conventional control of robot manipulators are mainly

based on the dynamic model accuracy. The availability of accurate dynamic model is not

always obvious, considering the external noises acting on the robot, and parametric

uncertainties for the parameters describing the dynamic properties. The objective of this

paper is to propose a control method for manipulators, using a system of adaptive neuro-

fuzzy inference (ANFIS) whose role is to adjust, continuously, the parameters Kp and Kv

to compensate for the neglected parts of the dynamic model, and a conventional integral

action (I) for the accuracy of trajectory tracking. To demonstrate the efficiency and accuracy

of this method, a comparative evaluation with a neuronal controller (MLP) with an adaptive

learning rate, and a conventional computed torque control is performed. The results are

presented and discussed.

KEYWORDS - Fuzzy Logic; Neural networks; ANFIS; PD control



DESIGN OF A BLACK BOX FOR CRANE CONTROL SYSTEM

MUSTAFA BUBER1 , ADEM GOLCUK2 , RAMAZAN KURSUN3

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

University, Turkey

ABSTRACT

In this study, a black box is designed to record the system and operator failures occurred in

the Crane Control System. For this recording process, an application is developed which

writes data to an SD card using an Ardunio processor. Ardunio reads the error data caused

in the system with serial communication and records the data to the SD card. When there is

a fault in the system or the user execute a faulty operation, the date, time, pressure 1, pressure

2, pressure 3, angle 1 and angle 2 data are recorded to the SD card. The SD card has been

formatted with the FAT32 file system and the data have been saved to a TXT file.

KEYWORDS - CRANE CONTROL SYSTEM,BLACK BOX ,ARDUINO



MODELING AND CONTROL OF AN UNMANNED AERIAL VEHICLE

BATIKAN ERDEM DEMIR1 , RAIF BAYIR2

1 Karabuk University, Turkey ; 2 Karabuk University, Turkey

ABSTRACT

In the present study, a PID (Proportional Integral Derivative) controller is applied to

stabilize the quadrotor, to control the attitude, and to follow the path. For this purpose, a

Matlab/Simulink model is created. In this model, inputs of controller consist of the speed

required for the distance between the current position of unmanned aerial vehicle and the

defined reference point, and differences between orientation angles and variance in

differences. Outputs of controller consist produce pitch, roll, yaw and height values. The

PID control algorithm is real-time applied to the quadrotor in Matlab/Simulink environment

and a desired path was autonomously followed by a quadrotor. Based on data from

experimental studies, the PID controller has accomplished to follow a defined path with the

aircraft.

KEYWORDS - quadrotor,PID,path following,real-time,Matlab/Simulink



INVESTIGATION OF DIFFRACTIVE OPTICAL ELEMENT OF BIOSENSOR

FOR HUMAN HEALTH MONITORING

ARVYDAS PALEVICIUS1 , ROKAS SAKALYS2 , GIEDRIUS JANUSAS3 , AMER

SODAH4

1 Kaunas University Of Technology, Lithuania ; 2 K, Lithuania ; 3 Kaunas University Of

Technology, Lithuania ; 4 Kaunas University Of Technology, Lithuania

ABSTRACT

The article investigates the development of diffractive optical element (DOE), which will

be used as biosensor for the purpose of human health monitoring. The operating principle

of the biosensor is based upon the diffraction efficiency. Diffraction efficiency is very

sensitive for the surface geometry of the DOE. Consequently the accumulation of bio-

particles on the surface of DOE can significantly change its diffraction efficiency. Thus the

diffraction efficiency serves as a parameter, allowing determine the concentration of bio-

particles. The size of human bio-particles vary from 0.01 till 2 µm, consequently the

fabricated bio-sensor must satisfy these dimensions. In order to produce the high-quality

device technologic route, including novel solutions must be proposed. The design of the bio-

sensor is implemented by using computer generated holography (CGH), for its fabrication

e-beam lithography (EBL) is exploited. Replication of fabricated bio-sensor is executed by

using thermal imprint technology. On the other hand thermal imprint technology has quality

related issues, which do not allow precisely replicate the DOEs. The process assistance by

using high frequency vibrations is proposed, as it helps to enhance the polymer flow towards

the master microstructure, thus replicating it more precisely, as well it helps during the

demolding step, by reducing the adhesion between the master and polymer. On the other

hand there is limited information about the influence of process parameters on the quality

of replicated microstructure. The aim of this research is to investigate how different process

parameters and character of vibrations influence the quality of replicated biosensor. This

research was funded by a grant (No. MIP-026/2014) from the Research Council of

Lithuania.

KEYWORDS - Mechatronics, sensor,biosensing,human health monitoring



3 AXIS CARTESIAN ROBOT IMPLEMENTATION USING BRESENHAM S

LINE ALGORITHM

RAMAZAN KURSUN1 , MUSTAFA BUBER2 , ADEM GOLCUK3

1 Guneysinir Vocational School, Turkey ; 2 Doganhisar Vocational School, Turkey

; 3 Vocational School Of Technical Sciences, Turkey

ABSTRACT

Bresenham’s Line algorithm is developed to draw lines on computer screen in 1960s. Two

end-points are determined and one axis sometimes doesn’t increase and sometimes increases

by 1 pixel while the other axis is increasing quickly thus these two endpoints are connected

and a line is drawn. 3-axis cartesian robots does parallel movements in X, Y and Z cartesian

coordinate system. These are known as CNC routers in the market and are used in many

fields. Many different processes like wood carving, plasma cutting and welding are designed

on CAD/CAM programs and G codes are generated from these designs then come to life

with help of a CNC router. In this study, this algorithm which is able to draw on computer

screen is used to move a 3-axis cartesian robot and an accordingly developed CAD/CAM

program is used to send information to robot’s control card without the need of transforming

them to G code. In this study, electronic parts of a plotter are removed and remaining

mechanical parts are used as cartesian robot. 9V bipolar stepper motors with 0.9˚ steps are

used. ATMEGA32 microcontroller is used for the machines control card. Microcontroller

is programmed via CodeVision AVR platform and Borland C++ Builder is used for

CAD/CAM interface development. “This study originates from master’s thesis “3-Axis

Robot Design and Implementation Using Bresenham’s Line Algorithm”

KEYWORDS - Bresenham’s Line algorithm ,3-Axis Cartesian

Robot,Microcontroller,ATMEGA32



PRODUCTION AND TESTING OF TL DOSIMETERS AS AN IONIZING

RADIATION SENSOR

MEHMET YUKSEL1 , TAMER DOGAN2 , MUSTAFA TOPAKSU3

1 Cukurova University, Turkey ; 2 Cukurova University, Turkey ; 3 Cukurova University,

Turkey

ABSTRACT

In this study, the precipitation method has been used for preparation of CaSO4 phosphor.

The raw materials were used for preparation of this phosphor were CaCl2, Na2SO4 and

distilled deionized water. The structural characterization of the samples was obtained using

X-ray diffraction (XRD) method and scanning electron microscopy (SEM) images. CaSO4

pellets were made by cold pressing using obtained powder samples and TL measurements

were carried out with an automated Risø TL/OSL DA-20 reader. TL emission was detected

through a filter pack (Hoya U-340) transmitting between 290 and 370 nm. The activation

energy (E), order of kinetics (b), and frequency factor (s) of the samples were determined

using the various heating rate (VHR) and peak shape (PS) methods after being exposed in 1

Gy beta dose for 260oC TL peak.

KEYWORDS - Thermoluminescence, production of dosimeter, radiation sensor, activation

energy, VHR,PS



MINIATURIZED MODEL OF A MACRO FIBER COMPOSITE

PIEZOELECTRIC TRANSDUCER BASED WIND TUNNEL AND ITS

OPTIMIZATION FOR ENERGY HARVESTING

FUNDA DEMIR1 , MUSTAFA ANUTGAN2


ABSTRACT

In this study, wind energy has been used to investigate the voltage produced from macro

fiber composite (MFC) piezoelectric transducers at different conditions. Miniaturized model

of a wind tunnel has been designed and produced to measure and optimize its performance

practically in the lab environment. The geometrical shape of this wind tunnel is a rectangular

prism with fiber glass side walls one of which includes small fan motors as the source of

wind. The wind speed reaching the piezoelectric cantilevers has been adjusted by the applied

voltage on these fans. MFC transducers are placed into this tunnel with different axes. The

voltages produced by these active materials in different positions have been compared and

the proper placement of the material for the maximum electrical signal output has been

determined. In addition, it has been aimed to increase the produced voltage by attaching

differently shaped polyurethane materials on the MFC piezoelectric transducer. After

establishing the optimum conditions, the total produced voltage has been stored by the

energy harvesting circuitry of this setup.

KEYWORDS - piezoelectric,energy harvesting, MFC ,wind tunnel



METALLURGICAL INVESTIGATION OF FRICTION STIR WELDED

ALUMINUM ALLOYS

KAAN OZEL1 , CEM CETINARSLAN2

1 Trakya University Faculty Of Engineering, Turkey ; 2 Trakya University Faculty Of

Engineering, Turkey

ABSTRACT

Friction Stir Welding (FSW) is a solid state welding method which take important place in

non-traditional welding methods. The industrial applications of this method has intensified

in recent years. The process has numerous advantages over other joining technologies and

can be used to weld numerous materials. Parts in various geometries can be joined in solid

state and extra materials is not used. In this study, Al – Mg based 5083 aluminum alloys,

widely used in industry, were joined with FSW method and then metallurgical properties of

the joints were investigated.

KEYWORDS - Friction Stir Welding,Aluminum Alloys,Metallurgical Investigation



EFFECT OF HOMOGENIZATION ANNEALING PARAMETERS ON

CORROSION BEHAVIOR OF AZ31 MAGNESIUM ALLOY

ALPER INCESU1 , ALI GUNGOR2


ABSTRACT

This paper reports the comparative evaluation of the corrosion behavior of as cast and

homogenization annealed AZ31 magnesium alloys. Homogenization annealing heat

treatment of the alloy was carried out at 350 °C for 2, 4, 6 and 8 hours. Corrosion behavior

of the alloys was determined using potentiodynamic polarization tests in %3,5 NaCl

solution. In addition, SEM and EDX analyses and Vickers hardness’s of the samples were

also investigated. The relationship between microstructure and corrosion behavior has been

uncovered. Content and ratio of Mg21(Zn,Al)17 phase effects the corrosion rate of the alloy.

Prior period of 350 °C annealing, corrosion rate decreases as compared to as cast alloy.

Mg21(Zn,Al)17 phase ratio decreases during homogenization annealing duration and

corrosion rate increases further periods of annealing. In conclusion, corrosion performance

of the samples was evaluated and the minimum corrosion rate was observed at 350 °C 2

hours homogenization annealed sample.

KEYWORDS - AZ31, magnesium alloy, homogenization, corrosion, heat treatment



MICROSTRUCTURE AND MECHANICAL PROPERTIES OF NIAL AND

EUTECTIC NIAL ALLOYS

ALI GUNGOR1 , HUSEYIN DEMIRTAS2


ABSTRACT

Room temperature and high temperature microstructural and mechanical properties of arc

melted NiAl, NiAl-34Cr, NiAl−28Cr−6Mo and 0.1 at.% Fe containing NiAl−28Cr−6Mo

eutectic alloys were investigated at room temperature (RT) and high temperature (1000°C).

Before the experimental studies, all alloys were homogenized at 1300°C in Ar atmosphere

for 24 h. Microscopic analyses, hardness measurements, XRD measurements and

compression tests were used to characterize the alloys. Eutectic NiAl-Cr and NiAl-Cr(Mo)

structures form when Cr and Mo are added to NiAl. Homogenized NiAl−28Cr−6Mo and

0.1 at.% Fe containing NiAl−28Cr−6Mo alloys exhibit cellular eutectic structures with

coarse intercellular eutectic structure. Fe addition results in slightly finer eutectic structure.

Modification of NiAl with Cr, Mo and Fe improve the room temperature and high

temperature compressive strength and ductility alloys. Although Fe addition lowers the

ultimate strength of the eutectic alloy at room temperature, it has positive effect on the high

temperature strength and ductility of the eutectic alloy. XRD analyses show that all alloys

except NiAl have two phase structure, NiAl and Cr(Mo). High temperature XRD patterns

show that peaks shifted to lower Bragg angles. This indicates that the lattice parameter of

the alloys increases.

KEYWORDS - NiAl alloy, microstructure, mechanical properties, solid-solution

hardening.



THE SYNTHESIS AND MECHANICAL CHARACTERIZATION OF HYBRID

EPOXY AND CARBON EPOXY MATRIX COMPOSITES

SEDEF SISMANOGLU1 , ALI GUNGOR2 , DILARA SEN3 , BUSRA ASLAN4

1 Karabuk University, Turkey ; 2 Karabuk University, Turkey ; 3 Karabuk University,

Turkey ; 4 Karabuk University, Turkey

ABSTRACT

Synthesis and characterization of different laminated hybrid (carbon+glass) fabric epoxy

matrix and carbon fabric epoxy matrix composites were studied in this paper. Each

composite material was synthesized as 4, 8 and 12 layers by using vacuum bag method at

170oC and 980 mbar vacuum pressure for 150 minutes. Bending and tensile properties of

the composite materials were compared after tensile and bending tests. Elasticity modulus,

% elongation, tensile strength, ultimate strength, bending moment, bending strength were

determined from the tests results. Tensile and bending tests results showed that tensile

strength, bending moment and bending strength increased with the increasing number of

layers in hybrid and carbon composites. Tensile elongation of hybrid and carbon composites

increased with the increasing number of layers, while % elongations in bending test

decreased with the increasing number of layers. It was seen that tensile strength of hybrid

fabric epoxy matrix composite were lower than those of carbon fabric epoxy matrix

composites. On the other hand, carbon fabric epoxy matrix composites except eight layers

showed higher bending strength, bending moment than hybrid fabric epoxy matrix

composites.

KEYWORDS - Vacuum bag method, Carbon fabric epoxy matrix composite,Hybrid fabric

epoxy matrix composite,Tensile test,Bending test



THE BURST FAILURE OF THE ELIPTICAL SURFACE CRACKED BFR

EPOXY COMPOSITE PIPES

MEHMET TURAN DEMIRCI1 , NECMETTIN TARAKCIOGLU2 , AHMET AVCI3


ABSTRACT

Filament-wound composites are widely used in many applications including gas and liquid

transfer in seawater pipe line, farmland irrigation, chemical and nuclear plants, high pressure

containers, mobile bridging component, marine, aerospace, military and defences due to

their resistance to corrosion, high strength to weight, good thermal insulation, low cost

versus to metal cylinder and container. For fiber reinforcement in composite applications,

basalt fiber reinforcement to polymers is begun to favour the instead of other fibers for wide

range industrial applications. The reasons of outstanding properties for basalt fiber are that

they show higher mechanical characteristics than glass fibers as well as high impact

toughness and they have lower cost than carbon fibers. Other prominent properties of basalt

fibers than E-Glass, S-Glass and Carbon fibers are recycling, natural long life, fire safety,

chemical resistance, thermal insulation, electrical insulation and working in high-low

temperatures. In addition to these features of basalt fibers make them potentials in thermal

barrier insulation, underground cables, circuit boards and underground evacuation channels.

In this study, the filament wound pipes are produced at the filament winding facilities of

commercial filament winding company. The wet winding method used for the production

of the composite pipes with ± [55]6 lay-up. As being a/c = 0.2, a/t = 0.25 and 0.5, semi-

elliptical surface cracks were formed on BFR/epoxy composite pipes. These prepared the

elliptical surface cracked and uncracked BFR/Epoxy composite pipes were applied to open

ended internal pressure tests (burst tests) according to ASTM D 1599-99 standard. At the

end of these tests, the hoop tensile stress and the burst strength of uncracked and cracked

specimens were determined. In addition the end of the burst tests, fracture surface

observations were carried out to investigate fracture behaviours of the different semi

elliptical surface cracked composites pipes.

KEYWORDS - Basalt Fiber,composite, burst failure, mechanical behaviors,filament

winding,tangential stress



DENOISING MR IMAGES WITH WEIGHTED 3D DISCRETE WAVELET

TRANSFORM

GUZIN OZMEN1 , SERAL OZSEN2 , BURAK YILMAZ3


ABSTRACT

Denoising is a common problem in the field of signal and image processing. Especially

magnetic resonance images are corrupted with noises. Denoising these images is important

for detection and diagnosis for some disease. This study presents a new algorithm based on

three-dimensional discrete wavelet transform which is used for analyzing 3 Dimensional

Magnetic Resonance images. The proposed algorithm consists of decomposition by 3

Dimensional Discrete Wavelet Transform, weighted sub-bands with their own energy value,

and reconstruction of images. This method does not use any thresholding technique unlike

classical Discrete Wavelet Transform. Experimental results were evaluated with Mean

Square Error and Peak Signal Noise Ratio. The results were compared with Median filter,

Gaussian filter and 2 Dimensional Discrete Wavelet Transform. Weighted 3 Dimensional

Discrete Wavelet Transform gave the lowest Mean Square Error and the highest peak signal

noise ratio .

KEYWORDS - 3D DWT, 3D MRI, Brainweb, Weighted 3D DWT



THE INVESTIGATION OF FIRST ORDER AND SECOND ORDER TEXTURAL

FEATURES EFFECTS IN MAMMOGRAMS CLASSIFICATION

CANAN ORAL1 , AYSE AYDIN YURDUSEV2 , ERHAN BERGIL3

1 Amasya University, Turkey ; 2 Amasya University, Turkey ; 3 Amasya University, Turkey

ABSTRACT

The aim of this paper is to investigate of first order and second order textural features’ effects

in mammograms classification. Textural features are widely used to classify mammographic

images. For this motivation firstly computer aided diagnosis (CAD) system is designed.

Computer aided diagnosis system use computerized algorithms to detect breast

abnormalities. Computer aided diagnosis system basically is to purpose enhance and support

the diagnose accuracy. In this paper MIAS (Mammographic Image Analysis Society Mini

Mammographic Database) database is used. Designed system consist of preprocessing,

feature extraction and classification steps. In preprocessing step, firstly pectoral muscle and

label is removed. Then noise removal and image enhancement are implemented. In feature

extraction step, first order and second order textural features are calculated from enhanced

mammographic images. Textural features extracted from images include effective

information about images. It is generated two feature groups using textural features. In

classification step, mammographic images is classified into normal and abnormal by k-

nearest neigbors (KNN). Classification is performed for all possible combinations of

generated feature sets separately. The classification results are evaluated and compared.

KEYWORDS - Mammography, textural features, computer aided diagnosis



PERSONAL AUTHENTICATION BASED ON WRIST EMG ANALYSIS BY

CONVOLUTIONAL NEURAL NETWORK

RYOHEI SHIOJI1 , DAIKI HIRAOKA2 , SHIN ICHI ITO3 , MOMOYO

ITO4 , MINORU HUKUMI5

1 Tokushima University, Japan ; 2 Tokushima University, Japan ; 3 Tokushima University,

Japan ; 4 Tokushima University, Japan ; 5 Tokushima University, Japan

ABSTRACT

Recent years, biological signals have attracted much attention as a tool of human interface.

Electromyogram (EMG) has been used in a variety of situations, in particular. We measure

EMG of arms or shoulders in many cases. In addition, we often use expensive wet type

sensors. However, they are inconvenient and high-cost. On the one hand, there have been

few works of personal authentication using EMG. Therefore, in this paper we measure EMG

by attaching dry type sensors to wrist, and carry out personal authentication. The proposed

method in this paper is divided into three sections such as a measuring, a feature extraction,

a discrimination sections. We measured EMG signals with eight dry sensors on the wrist.

After that, we identify a motion opening our hand. We use a convolutional neural network

(CNN) to learning and authentication. In addition, we try to use a multilayer

perceptron.Experiments are conducted in two patterns. At first, we carry out two-class

separation (the subject and the others). The second is multi-class separation in which the

number of subjects is 8 people. We collected 40 data for each subject. The average accuracy

of two-class separation was 89.4 % by the multilayer perceptron. The average accuracy of

two-class separation was 94.9 % by CNN. On the other hand, the average of multi-class

separation was 41.2 % by the multilayer perceptron. The average of multi-class separation

was 70.3 % by CNN. In future work, we will improve classification accuracy for two-class

and multi-class separation. For this purpose, we have to do several improvements. First, we

eliminate the intrapersonal difference of data. Second, we consider layer configuration of

CNN. Futhermore, we try to identify multiple motions.

KEYWORDS - Biometrics, Human Interface, CNN, Deep learning, Wrist EMG, Personal

Authentication



MOTOR COGNITION AND DECISION THEORY IN SENSORIMOTOR

CONTROL

ZLATA JELACIC1

1 University Of Sarajevo, Bosnia And Herzegovina

ABSTRACT

In the last years, optimal control theory (OCT) has emerged as the leading approach for

investigating neural control of movement and motor cognition for two complementary

research lines: behavioural neuroscience and humanoid robotics. In both cases, there are

general problems that need to be addressed, such as the “degrees of freedom (DoFs)

problem”, the common core of generation, observation, reasoning and learning of “actions”.

OCT, directly derived from engineering design techniques of control systems quantifies task

goals as “cost functions” and uses the sophisticated formal tools of optimal control to obtain

desired behaviour (and predictions). On the other hand, action selection is a fundamental

decision process for us and depends on the state of both our body and the environment.

Because signals in our sensory and motor systems are corrupted by variability and noise, the

nervous system needs to estimate these states. To select an optimal action these state

estimates need to be combined with knowledge of the potential costs or rewards of different

action outcomes. We review recent studies that have investigated the mechanisms used by

the nervous system to solve such estimation and decision problems, which show that human

behaviour is close to that predicted by Bayesian Decision Theory. This theory defines

optimal behaviour in a world characterized by uncertainty and provides a coherent way of

describing sensorimotor processes.

KEYWORDS - optimal control theory, sensorimotor control,Bayesian Decision Theory



MODELLING OF BIOTECHNOLOGICAL SYSTEMS USING PARALLEL

COMPUTING

DORIN SENDRESCU1 , DAN SELISTEANU2 , BOGDAN POPA3

1 University Of Craiova, Romania ; 2 University Of Craiova, Romania ; 3 University Of

Craiova, Romania

ABSTRACT

Modeling of biotechnological systems often involves the estimation of model parameters.

Estimation methods have been developed to model these systems in a bounded error context

due to the uncertainty involved in biotechnological processes. This application of bounded

methods to nonlinear and higher-dimensional systems is computationally expensive

resulting in excessive simulation times. The increasing computational power of personal

computers and microcontrollers allow the implementation of so called bio-inspired meta-

heuristic methods for optimization. These procedures are inspired from natural phenomena

and the most known algorithms include the Simulated Annealing, Genetics Algorithms

(GA), Ant Colony Optimization or Particle Swarm Optimization (PSO). Due to the

hardware development, there is a transition to multi-core systems that require a new

programming approach to design algorithms with high parallelism. In this paper one present

the parameter estimation of a bioprocess using a parallel variant of the standard PSO

algorithm, a simple but very efficient method to solve numerically nonlinear optimization

problems. This algorithm is a population-based global-search approach where, initially,

there is generated a set of “particles” (usually called swarm) with random positions in the

search space. Each particle represents a possible solution and improves its position based on

information of its neighbors. Even this method is very simple and easy to implement, for

complex system (like biotechnological processes) it is necessary a big number of particles

and algorithm iterations in order to avoid local minima. This “curse of dimensionality”

increase drastically the computational time necessary to solve the optimization problem.

Since the evaluation of objective function for each particle is required, this task can be split

and done in parallel. From this reason, in this paper a numerical implementation of a Parallel

PSO (PPSO) adapted for a multicore processor is presented and analyzed using numerical

simulations.

KEYWORDS - modelling,parallel computing;



INTELLIGENT TOOL PATH OPTIMIZATION METHODOLOGY FOR 2 5 OR

HIGHER AXIS CNC SPOT MACHINING FOR PLANAR AND SCULPTURED

SURFACES

GEORGE PAPAZAFEIROPOULOS1 , ANDREAS MARIOS

TSAINIS2 , MARGARITIS BARTZOPOULOS3

1 National Technical University Of Athens, Greece ; 2 Kingston University London, Greece

; 3 Kingston University London, Greece

ABSTRACT

A novel algorithm for minimizing the non-productive distances traveled by a tool used for

spot machining operations in three dimensional space is presented. Such spot machining

operations can be performed by 2.5- or higher axis CNC vertical machine centers. The

various distances are calculated in the three dimensional Euclidean space, contrary to the

usual commercial software. Furthermore, a special collision avoidance routine has been

incorporated in the main algorithm, in order to ensure overall safety of the process and

minimize the retract distances of the tool. Five models of workpieces with planar as well as

sculptured geometries have been investigated in terms of minimization of the tool travel

path in three dimensions. Each model is analyzed with the algorithm proposed in this study

as well as a CAD/CAM (Computer Aided Design/Computer Aided Manufacturing) software

and specifically the Autodesk Inventor HSM 2016. The proposed algorithm of this study

yields better results compared to the CAD/CAM software. The percentage of reduction of

the machining distance achieved with the proposed algorithm with reference to the distance

calculated by the CAD/CAM software varies between 24% and 61%, the larger percentages

corresponding to the more complex geometries.

KEYWORDS - Tool path optimization,genetic algorithm,collision avoidance,spot

machining



MANNHEIM OFFSETS UNDER THE 1 PARAMETER MOTIONS

KEZIBAN ORBAY1 , TEVFIK SAHIN2

1 Amasya University, Turkey ; 2 Amasya University, Turkey

ABSTRACT

In this study, the situation of Mannheim offsets of ruled surfaces under the 1-parameter

motions will be investigated. Relationships between geodesic Frenet trihedrons of

Mannheim offsets of ruled surfaces will be obtained and the relationship between the

curvature of the surface pairs will be examined. Also, the relevant example will be given.

KEYWORDS - 1-Parameter motion, Mannheim offsets, Ruled surfaces



RISK ANALYSIS IN ELECTRICAL AND ELECTRONIC ENGINEERING

DEPARTMENT A CASE OF ELECTRIC MACINERY LABORATORY IN

TURKEY

PIRIL TEKIN1 , RIZVAN EROL2

1 Cukurova University, Turkey ; 2 Cukurova University, Turkey

ABSTRACT

In recent years, risk assessment is getting more popular and compulsory in least developed

countries. A comprehensive risk analysis is necessary for the identification of the unwanted

events/occurrences, calculation of the severity degree of the concerned risk and

determination of whether the risk is tolerable or not for all organizations. Identification of

the risks is really so important to prevention the unwanted incident before it occures. The

Universities is the first step of business world because the students study in the laboratory

as an experimental. Therefore students can test the real systems in many laboratory courses

of Electrical and Electronic Engineering. Occupational health and worker safety is really so

important for the students also because of the high quality equipments. In the present study,

a risk assessment is conducted on the electric macinery laboratory of a university, which is

one of the experimental lesson with the highest risk and impact level, in the guidance of X

matrix approach. Through the application of this approach, the hazards are ranked on the

basis of their priority level and the risks that emerge are mapped.

KEYWORDS - Risk Analysis, Motor Laboratory, X Type Matrix



A TEXT MINING ANALYSIS ON ENVIRONMENTAL FRIENDLY

ELECTRONIC PRODUCTS PATENTS

SELEN YUCESOY1 , TURKAY DERELI2 , ALPTEKIN DURMUSOGLU3

1 Gaziantep University, Turkey ; 2 Gaziantep University, Turkey ; 3 Gaziantep University,

Turkey

ABSTRACT

Environmental pollution has reached to enormous levels today. In this respect; technology

development efforts regarding the pollution prevention, recycling, remanufacturing, waste

minimization and etc. have increased significantly to act against. As a consequence, patents

especially related with environmental friendly products have come to the foreground with

an increased focus on generating recyclable energy using sun, wind, water, geothermal

technology or nuclear fusion. On the other hand, although the increase in the number of

granted patents has been apparent, the insight of these technological changes has not been

clear yet. Therefore; textual content of patents in environmental electronic-related

technology are mined in this study with a purpose to discover structure of this apparent

change. This study intends to provide potential economic investment options for the

interested parties. Besides, this study is expected to supply guidance to researchers

interested in these issues. The major important findings of this study are (1) portable cellular

electronic devices are the most interested topic for environmental electronic, (2) innovations

is considerable interest in mobile communication technology, and (3) different water

pollution abatement technologies for removing contaminants from water is the third

important topic in environmental electronic-related patents.

KEYWORDS - text mining, environmental friendly electronic, patent, classification,

clustering



JAPANESE JANKEN RECOGNITION BASED ON WRIST EMG ANALYSIS BY

CNN AND SVM

DAIKI HIRAOKA1 , SHIN ICHI ITO2 , MOMOYO ITO3 , MINORU FUKUMI4


Japan ; 4 Tokushima University, Japan

ABSTRACT

Recent years, bio-signal is receiving attention as a tool of human interface. Above all, an

Electromyogram (EMG) has already been applied to many researches. In many cases, wet

type sensors are often used to measure EMG and their sensors are attached to arm or

shoulder. However, these conditions have some drawbacks. In this paper, we propose a

method which can discriminate hand motions. We measure EMG of wrist by using 8 dry

type sensors. We focus on four motions, such as “Rock-Scissors-Paper” and “Neutral”.

“Neutral” is a state that does not do anything. The proposed method extracts features of

EMG by a convolutional neural network (CNN) and discriminate the motions by a support

vector machine (SVM). An input data of CNN is a feature map of 128 x 9 (H x W) size.

This feature map has 128 data of EMG in each channel. In addition, we add channel 1 data

twice to first and last. In the CNN, we reduced a full connection layer by adding a

convolution layer which has the same size filter of a feature map. CNN has an input layer,

1 convolutional layer, a pooling layer, 5 convolutional layers and a full connection layer.

We conducted experiments with seven subjects. Generally speaking, CNN needs more

training data. We have 1,120 raw EMG data (160 data per subject), and we create 100

pseudo data per raw EMG data. Therefore, we can obtain 113,120 EMG data. An average

discrimination accuracy of the proposed method is 92.2 %. In the previous method, the

discrimination accuracy rate was 76.9%. Therefore, the proposed method is better in

accuracy than the previous method. In future work, we will discriminate more detailed hand

motions.

KEYWORDS - Wrist EMG, Hand motion recognition, Deep leaning, CNN, SVM



VISION BASED NAVIGATION SYSTEM FOR SATELLITE RANDEZVOUS AND

DOCKING

MARIUSZ JACEWICZ1

1 Warsaw University Of Technology, Poland

ABSTRACT

This paper deals with the unidentified pose estimation problem of uncooperative satellite

with respect to the chaser. In this document markerless monocular local features based

navigation system has been studied. The proposed vision navigation system satellites is able

to determine the position and orientation of an target in relation to the coordinate system of

the camera. It relates from the time when the satellite is visible as a small object until

docking with the chaser. A modified algorithm soft Position Iterations was used to estimate

the pose of the target. Visual navigation system uses a single camera. The impact of changes

in illumination of the object was analysed. In order to reproduce the space conditions the

laboratory stand was built. The developed method was tested experimentally for different

scenarios approach satellites to each other. Comparing the ground truth position and

orientation and the results obtained with the aim of vision navigation system it is worth

nothing to observe accuracy of the developed method. The results of implementation and

testing of simulation intended for vision-based navigation applications such as rendezvous

of satellites and formation flying are shown. The results of numerical simulation were

described. Satisfactory performance of the algorithm was observed.

KEYWORDS - randezvous, space technology,vision systems



BIOMETRICS AUTHENTICATION OF AERIAL HANDWRITTEN SIGNATURE

USING CONVOLUTIONAL NEURAL NETWORK

KOHEI NAKANISHI1 , DAIKI HIRAOKA2 , SHIN ICHI ITO3 , MOMOYO

ITO4 , MINORU FUKUMI5


Japan ; 4 Tokushima University, Japan ; 5 Tokushima University, Japan

ABSTRACT

Recent years, biometrics personal authentication is receiving attention by development of

information society. In this paper, we propose a personal authentication system which uses

behavior characteristics among biometrics. We focus on aerial handwritten signature,

because it is difficult to forge it, and there is no risk of loss. In this paper, we measured

signatures using Leap Motion Controller. Leap Motion Controller can measure three

dimensional space coordinates with high accuracy. We divide signature data into three axial

directions of coordinates XYZ in order to use them as one dimensional data. We carry out

preprocessing to signature data and normalize them. Next, we use deep learning based on a

convolutional neural network for feature extraction and identification. Generally, it is

necessary to learn a large number of data for deep learning. However, it is difficult to gather

many learning data of forgery. Therefore, we transform learning data of forgery at the

preprocessing. From the above, we generate many pseudo learning data of forgery. In this

experiment, we prepare genuine data of nine persons and forgery data of each person. We

classify signature data into ten classes. We conduct deep learning in which CNN carries out

10,000 cycles learning in one trial.We conduct this trial 1,000 times by cross validation. The

average discrimination accuracy of this experiment is 98.1 %. This result is better in

accuracy than a related research [1]. From the above, we think that the proposed method is

useful for the aerial handwritten signature. However, the proposed method has a problem

which includes just a small number of subjects. In future work, we increase the number of

subjects in experiment.

KEYWORDS - Biometrics,Human Interface,CNN,Leap Motion,Signature



CLASSIFICATION OF MESOTHELIOMA DISEASE WITH DATA MINING

METHODS

MURAT KOKLU


ABSTRACT

Today, many data mining studies are in progress in healthcare field to assist doctors

especially in disease diagnosis. Classification algorithms, which are widely used in data

mining, used for guessing the disease and the patient by utilizing retrospective patient

data. These classification algorithm based systems, which help doctors in disease

diagnosis are called decision support systems. Nowadays, many different studies are in

progress on classification algorithms and their usage in decision support systems. In this

study, a data set containing 34 attributes and 324 people both healthy and, sick with

asbestos originated mesothelioma disease is used. Mesothelioma disease dataset were

prepared at Dicle University Faculty of Medicine in Turkey. A classification algorithm is

conducted by using popular data mining methods for mesothelioma disease data, like

Logistic, BayesNet, Multilayer Perceptron, Naive Bayes and ZeroR. The results of the

applied methods for the study regarding to diagnosis accuracy rates are as follows;

Logistic 89.506%, BayesNet 88.272%, Multilayer Perceptron 87.963%, Naive Bayes

85.803% and ZeroR 70,370%.

KEYWORDS-Classification, Mesothelioma disease, Data mining methods.

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