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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
Rome, Italy, November 23-25, 2016
ii International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
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
Rome, Italy, November 23-25, 2016
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
Selcuk University, Turkey
Depertmant of Electric-Electronic Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]
ASSISTANT EDITORS :
Ilker Ali OZKAN
Selcuk University, Turkey
Depertmant of Computer Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]
Murat KOKLU
Selcuk University, Turkey
Depertmant of Computer Engineering, Faculty of Technology
Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]
Ali YASAR
Selcuk University, Turkey
Guneysinir Vocational School of Higher Education,
Computer Programming, Konya, Turkey [email protected]
iv International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
International Conference on Advanced Technology & Sciences (ICAT’Rome) v
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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
Domenico Tegolo, Italy
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
Ilker Ali Ozkan, Turkey
International Conference on Advanced Technology & Sciences (ICAT’Rome) vii
Rome, Italy, November 23-25, 2016
Inan Guler, Turkey
Irina Noninska, Bulgaria
Ismail Saritas, Turkey
Ivan Jelinek, Czech Republic
Jan Vom Brocke, Liechtenstein
Janis Grundspenkis, Latvia
Janusz Jablonowski, Poland
Jiri Srba, Denmark
Kadir Sabanci, Turkey
Karl Jones, Great Britain
Kemal Tutuncu, Turkey
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 Buber, 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
Ismail Saritas, Turkey
Kemal Tutuncu, Turkey
Ilker Ali Ozkan, Turkey
Murat Koklu, Turkey
Domenico Tegolo, Italy
Alla Anohina Naumeca, Latvia
Hidayet Oguz, Turkey
Sakir Tasdemir, Turkey
Silyan Sibinov Arsov, Bulgaria
Ridvan Saracoglu, Turkey
Murat Ciniviz, Turkey
viii International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
Murat Ciniviz, Turkey
Marco Porta, Italy
Angel Smrikarov, Bulgaria
Sakir Tasdemir, Turkey
Zekai Sen, Turkey
Mustafa Altin, Turkey
Alla Anohina Naumeca, Latvia
Silyan Sibinov Arsov, Bulgaria
Dimitris Dranidis, Greece
Cesare Valenti, Italy
Simona Silvia Merola, Bulgaria
TECHNICAL COMMITTEE
Mustafa Buber, Turkey
Ali Yasar, Turkey
Mehmet Akif Sahman, Turkey
Esra Kaya, Turkey
ix International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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)
Rome, Italy, November 23-25, 2016
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
1 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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 -
2 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
3 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
4 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
5 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
6 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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.
7 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
8 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
9 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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.
10 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
11 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
12 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
13 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
14 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
15 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
16 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
17 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
18 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
COMPUTER AIDED STATISTICAL STUDY FOR FIRE RESISTANCE OF
CONSTRUCTION ELEMENTS AND MODELING
SAKIR TASDEMIR1 , MUSTAFA ALTIN2
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey
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
19 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
20 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
DETECTION OF IMPURITIES IN WHEAT AND CLASSIFICATION OF DURUM
WHEAT VITREOUSNESS IN A DYNAMIC SYSTEM
ESRA KAYA1 , ISMAIL SARITAS2 , ILKER ALI OZKAN3
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey ; 3 Selcuk University, Turkey
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
21 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
COMPARISON OF CLASSIFICATION TECHNIQUES ON LEAF DATASET
KEMAL TUTUNCU1 , MURAT KOKLU2 , OZCAN CATALTAS3
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey ; 3 Selcuk University, Turkey
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.
22 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
IMAGE STEGANOGRAPHY METHODS AND PERFORMANCE COMPARISON
KEMAL TUTUNCU1 , BARIS DEMIRCI2
1 Selcuk University, Turkey
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
23 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
REVIEW ON NATURAL LANGUAGE PROCESSING
KEMAL TUTUNCU1
1 Selcuk University, Turkey
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
24 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
25 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
26 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
27 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
28 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
29 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
30 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
31 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
32 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
33 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
34 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
35 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
36 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
37 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
PREDICTION OF ORTHOPEDIC DISEASE BY ARTIFICIAL NEURAL
NETWORK
ALI YASAR1 , ISMAIL SARITAS2
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey
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.
38 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
39 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
40 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
41 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
42 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
43 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
44 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
45 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
CURRENT SITUATION AND FUTURE PROSPECT IN TURKEY S
ELECTRICITY SECTOR
MEHMET CUNKAS1
1 Selcuk University, Turkey
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
46 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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.
47 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
48 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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.
49 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
50 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
51 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
52 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
53 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
54 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
55 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
56 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
57 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
58 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
59 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
60 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
61 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
62 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
63 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
64 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
65 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
66 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
67 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
MINIATURIZED MODEL OF A MACRO FIBER COMPOSITE
PIEZOELECTRIC TRANSDUCER BASED WIND TUNNEL AND ITS
OPTIMIZATION FOR ENERGY HARVESTING
FUNDA DEMIR1 , MUSTAFA ANUTGAN2
1 Karabuk University, Turkey ; 2 Karabuk University, Turkey
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
68 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
69 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
EFFECT OF HOMOGENIZATION ANNEALING PARAMETERS ON
CORROSION BEHAVIOR OF AZ31 MAGNESIUM ALLOY
ALPER INCESU1 , ALI GUNGOR2
1 Karabuk University, Turkey ; 2 Karabuk University, Turkey
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
70 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
MICROSTRUCTURE AND MECHANICAL PROPERTIES OF NIAL AND
EUTECTIC NIAL ALLOYS
ALI GUNGOR1 , HUSEYIN DEMIRTAS2
1 Karabuk University, Turkey ; 2 Karabuk University, Turkey
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.
71 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
72 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
THE BURST FAILURE OF THE ELIPTICAL SURFACE CRACKED BFR
EPOXY COMPOSITE PIPES
MEHMET TURAN DEMIRCI1 , NECMETTIN TARAKCIOGLU2 , AHMET AVCI3
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey ; 3 Selcuk University, Turkey
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
73 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
DENOISING MR IMAGES WITH WEIGHTED 3D DISCRETE WAVELET
TRANSFORM
GUZIN OZMEN1 , SERAL OZSEN2 , BURAK YILMAZ3
1 Selcuk University, Turkey ; 2 Selcuk University, Turkey ; 3 Selcuk University, Turkey
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
74 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
75 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
76 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
77 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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;
78 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
79 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
80 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
81 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
82 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
JAPANESE JANKEN RECOGNITION BASED ON WRIST EMG ANALYSIS BY
CNN AND SVM
DAIKI HIRAOKA1 , SHIN ICHI ITO2 , MOMOYO ITO3 , MINORU FUKUMI4
1 Tokushima University, Japan ; 2 Tokushima University, Japan ; 3 Tokushima University,
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
83 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
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
84 International Conference on Advanced Technology & Sciences (ICAT’Rome)
Rome, Italy, November 23-25, 2016
BIOMETRICS AUTHENTICATION OF AERIAL HANDWRITTEN SIGNATURE
USING CONVOLUTIONAL NEURAL NETWORK
KOHEI NAKANISHI1 , DAIKI HIRAOKA2 , SHIN ICHI ITO3 , MOMOYO
ITO4 , MINORU FUKUMI5
1 Tokushima University, Japan ; 2 Tokushima University, Japan ; 3 Tokushima University,
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