BLDR ZETLER KTABI

Editrler:Yaln LER

Ylmaz Kemal YCE

Ekim 2017

Alanya

Akll Sistemlerde Yenilikler veUygulamalar 2017 (ASYU-2017)

Konferans

Bildiri zetleri Kitab

Editrler:Yaln ler

Ylmaz Kemal Yce

8 Kasm 2017

zmir Katip elebi niversitesi Yayn No: XXX

Bu eser, zmir Katip elebi niversitesi Ynetim Kurulu'nun XX.XX.2017 tarihve 2017/XX sayl toplantsnda alnan XX karar uyarnca niversitemiz elektronik

yayn (e-kitap) olarak yaynlanmasna karar verilmitir.

Her hakk sakldr.czmir Katip elebi niversitesi Yaynlar

2017

Sertika No: XXXXX

Editrler:Yaln LER

Ylmaz Kemal YCE

ISBN: XXX-XXX-XXXXX-X-X

Adres: zmir Katip elebi niversitesi Rektrl, Balatk Yerlekesi, 35620ili, zmir, Trkiye

Telefon: +90 232 329 3535 / 1255Belge-geer: +90 232 386 0888

E-posta: ykb@ikc.edu.trWeb: ykb.ikc.edu.tr

Eserin hukuki ve etik sorumluluu yazarlara aittir. Tm haklar sakldr. Bukitabn yayn hakk zmir Katip elebi niversitesi'ne aittir. zinsiz kopyalanamaz

ve oaltlamaz.

iii

nsz

Akll Sistemlerde Yenilikler ve Uygulamalar 2017 (ASYU-2017) Konferans, 5-7 Ekim 2017 tarihleri arasnda Alanya Alaaddin Keykubat niversitesi (ALK) vezmir Katip elebi niversitesi (K) tarafndan Yldz Teknik niversitesi (YT)desteiyle Alanya'da dzenlenmitir. Konferans, disiplinler aras bir konu olan akllsistemler alannda alan aratrmaclar bir araya getirmeyi ve aralarnda etkin biriletiim platformu oluturmay hedeemektedir.

Konferansta Yapay Sinir Alar, Bulank Mantk, Karma Akll Sistemler, BilgiTabanl Sistemler, Evrimsel Hesaplama, Uzman Sistemler, Evrimsel Algoritmalar,Makine renmesi, rnt Tanma, Akll Elektronik Sistemler gibi yntemler ve buyntemlerin liste ile snrl olmamak zere aadaki rnek alanlardaki uygulamalarkonu alnmtr:

Akll Ajanlar

Akll Kontrol Sistemleri

Akll Savunma / Gvenlik Sistemleri

Akll Sensrler ve Malzemeler

Akll Sistemler in Donanm Gereklemeleri

Akll Yaam

Biyoinformatik

Biyomedikal Mhendisliinde Akll Uygulamalar

Doal Dil leme

Genetik Algoritma

nsan-Bilgisayar Etkileimi

Memetik Hesaplama

Parack Srleri

Robotik ve Otomasyonda Akll Yaklamlar

v

"http://www.alanya.edu.tr""http://www.ikc.edu.tr""http://www.yildiz.edu.tr"

Sinyal ve aret lemede Akll Yaklamlar

Sistem Kimliklendirme/Modellemede Akll Yaklamlar

Sr Zekas

Sosyal Sinyal leme

Veri Madencilii

Yapay Zeka

Akll Sistemler ile ilgili dier konular

Derin renme: Teori ve Uygulamar (zel Oturum)

Konferansn dili Trke olmakla birlikte, gelen istekler dorultusunda ngilizcedilinde hazrlanm almalar da konferansta kabul edilmitir. Yazarlar tarafndangnderilen tm bildiriler en az iki hakem tarafndan deerlendirilmitir.

Buna gre, konferansa deerlendirilmek zere gnderilen 86 bildiriden, hakemlertarafndan yaynlanmas tavsiye edilen 66 adet bildiri konferansa kabul edilmitir.Kabul edilen bildiriler, lkemizin 34 farkl gzide niversitesinden, 2 farkl yurt dniversitesinden, 1 kamu kuruluundan ve 4 zel irketten olmak zere 166 farklyazarn katk koymas ile meydana gelmitir. Konferansa kayt olan toplam katlmcsays ise 92'dir.

Destekleyenler

ASYU-2017 Konferans, zmir Katip elebi niversitesi Bilimsel Aratrma Pro-jeleri Koordinatrl tarafndan Bilimsel Etkinlik Dzenleme Projesi (2017-BET-MMF-0007) olarak desteklenmitir.

ASYU-2017 Konferans, slerya Medikal ve Biliim Teknolojileri Sanayi TicaretAnonim irketi (zmir) tarafndan desteklenmitir.

ASYU-2017 Konferans, zlem ler Fuar, Kongre, Organizasyon (zmir) tara-fndan organize edilmitir.

vii

"http://www.islerya.com""http://www.islerya.com""http://www.ozisler.com"

Konferans Daveti

Deerli Meslektalarmz,Akll Sistemlerde Yenilikler ve Uygulamalar (ASYU) Konferans'n 5 - 7 Ekim

2017 tarihleri arasnda lkemizin esiz tarihe ve gzellie sahip kentlerinden Alanya'dadzenleyeceiz. Alanya Alaaddin Keykubat niversitesi, zmir Katip elebi ni-versitesi ve Yldz Teknik niversitesi'nin birlikte gerekletirecekleri bu konferanskapsamnda, sizleri Trkiye'nin ykselen deerlerinden Alanya'da grmek ve arla-maktan mutluluk duyacaz.

Gemite gerekletirilen konferanslarda ulalan bilimsel dzeyi ykseltme he-dene hep birlikte ulaabilmek adna sizleri bilimsel katk yapmak zere Alanya'yadavet ediyoruz. Bu amala, bu yl ev sahibi olarak bilimsel katk hedemize ulamakve sizlerin Alanya'dan hem akademik hem sosyal adan mutlu ayrlabilmeniz iinaba gstermekteyiz.

Bu dinamizm iinde, Alanya Alaaddin Keykubat niversitesi, Alanya Belediyesive tm Alanyallar, bilimsel ve sosyal etkinlikleri yrekten desteklemekte ve sizleriAlanyamzda arlamak iin drt gzle beklemektedir.

Sayglarmla.

Prof. Dr. Ahmet PINARBAIAlanya Alaaddin Keykubat niversitesi Rektr

ix

indekiler

nsz v

Destekleyenler vii

Konferans Daveti ix

I Kurullar, Program ve Yer 1

Dzenleme Kurulu 3

Danma Kurulu 5

Bilim Kurulu 7

Bilimsel ve Sosyal Program 9

Konferansn Yeri 15

II Davetli Konumalar 17

Akll Mobil Robotlar Hayalden Geree Dntrmek (IntelligentMobile Robots: From Imagination to Reality) 19

Eitimde Veri Madencilii Uygulamalar (Data Mining Applicationsin Education) 20

III Bildiri zetleri 21

statistiksel Yapay Ar Koloni Algoritmas (A statistical Articial BeeColony Algorithm) 23

Bulank Mantk Kullanlarak oklu Robot Sistemleri in GvenilirlikTabanl Grev Paylam Analizi (Reliability Based Task AllocationAnalysis for Multi-Robot Systems by Using Fuzzy Logic) 24

xi

Kelimeler Aras Anlamsal likilerin Bulunmasnda Word2vec ile ab-lonlarn Karlatrlmas (Comparison of Templates with Word2vecin Finding Semantic Relations Between Words) 25

Harris Ke Bulma Algoritmasnn Hacimsel Grntler iin Uygu-lanmas (Implementation of Harris Corner Detection Algorithmfor Volumetric Images) 26

Uyarlamal A Tabanl Bulank Mantk karm Sistemi le Ya Tah-mini (Rainfall Prediction Using Adaptive Neuro-Fuzzy InferenceSystem) 27

Epigenetik Algoritmann Yazlma Uyarlanmas (Adaptation to Soft-ware of Epigenetic Algorithm) 28

Rulmanlarda Bilezik Arzalarnn Yapay Sinir Alar ile Tespiti ve S-nandrlmas (Detection and Classication of Ring Failures byArticial Neural Networks in Bearings) 29

MFSK Kiplenimli aretlerde Dalgack Ayrtrmas Kullanarak Kip-lenim Snandrlmas (Modulation Classication of MFSK Modu-lated Signals Using Wavelet Decomposition) 30

Arduino ile Sera Otomasyonu Tasarm (Design of Greenhouse Auto-mation with Arduino) 31

oklu Veri Depo Ortamn Kullanan Alana zg Varlk Balama Yak-lam (A Domain Specic Entity Linking Approach ConsumingMultistore Environment) 32

Hzl Ate Bcei Algoritmas (A Fast Firey Algorithm) 33

Grnt leme Tekniklerine Dayal Sinirsel-Bulank Sistem ModeliKullanarak Buday Danelerinin Snandrlmas (Classication OfWheat Grains Using Image Processing Techniques Based Neuro-

Fuzzy System Model) 34

Aktivite Tanmada Yapay Sinir Alar ve Genetik Programlama Yn-temlerinin Karlatrlmas (Comparison of Articial Neural Ne-tworks and Genetic Programming Methods For Activity Recogni-

tion) 35

ok Fonksiyonlu Protez El Hareketleri in Yzey EMG Sinyali Ta-banl Uzman Sistem Tasarm (Design of Expert Systems UsingSurface EMG Signal for Movements of Multi-Function Prosthetic

Hand) 36

Tasarlanm Engebeli Ortamda Otonom Mobil Robot Gezinimi (Auto-nomous Mobile Robot Navigation in Structured Rough Terrain) 37

Google Play Maazas zerinden Kullancnn Eriebildii Akll ParkSistemi Mobil Uygulamalar zerine Bir alma (A Study on SmartPark System Mobile Applications Retrievable by The Users Over

Google Play Store) 39

Paralel Yapay Ar Koloni Algoritmas iin Rastgele Kaynaklar ile YeniBir Gmen retme Yaklam (A New Emigrant Creation Strategywith Randomized Sources for Parallel Articial Bee Colony Algo-

rithm) 40

Meteorolojik Tahmin Destekli Yapay Sinir A ile Gn ncesi Sa-atlik Gne Inm Kestirimi: Trabzon ili rnei (Prediction ofDay Ahead Hourly Solar Radiation by Meteorological Forecasting

Supported Articial Neural Network: A Case Study for Trabzon

Province) 41

Diferansiyel Evrim Algoritmas Kullanlarak Eksponansiyel Hatlar ileAlak Geiren Filtre Tasarm (Design Optimization of Low-PassFilter with Exponential Transmission Lines Using Dierential Evo-

lutionary Algorithm) 43

Parack Srs Optimizasyonu Kullanlarak Ters Sarka SistemininKesir Dereceli PID ile Kontrol (Control of Inverted PendulumUsing Fractional Order PID Controllers Based on Particle Swarm

Optimization) 44

Diyabetli Birey zlem Sistemi (Monitoring System for Patients withDiabetes Mellitus) 45

3B Yazcdan retilen 3 Kancal Miyoelektrik El Protezinin sEMGSinyalleri ile Kontrol Edilmesi (The Control of 3D printed 3 HookedMyoelectric Hand Prosthesis with sEMG Signals) 46

PSO Tabanl PID ve PID Denetleyiciler ile Senkron Motorun Uyar-tm Akm Denetimi ve Reaktif G Kompanzasyonu Benzetim a-lmas (A Simulation Study on Controlling Excitation Current ofSynchronous Motor and Reactive Power Compensation via PSO

Based PID and PID Controllers) 48

Yapay Zeka Tabanl Akll Muhasebe Android Mobil Uygulama Tasa-rm () 50

Sosyal Amdaki Duygusal Uyum (Emotional Harmony in My SocialNetwork) 51

Derin renme Kullanarak Gerek Dnya Doku Grntlerinin ZorluKoullarda Tannmas (Recognition of Real-World Texture ImagesUnder Challenging Conditions With Deep Learning) 52

Yapsal Benzerlik ve Optik Ak Histogram ile Anomali Tespiti (Ano-maly Detection with Structural Similarity and Optical Flow Histog-

ram) 53

Yz Tanma Sistemlerinde Yerel zniteliklerin Kullanlmas (UsingLocal Features in Face Recognition Systems) 54

Bulank Mantk Kullanarak Hava Savunma Karar Destek Sistemi Ta-sarm (Air Defence Decision Support System Design Using FuzzyLogic) 55

EEG aretlerinde Boyut ndirgeme Algoritmalarnn Karlatrlmas(Comparison of Dimension Reduction Algorithms on EEG Sig-nals) 56

Akcier Kanseri Hastalarnn Farkl zelliklerine Gre Hayatta KalmaOlaslklar ile lgili Tahmin (Estimation for Survival of Lung Can-cer Patients Depending on Dierent Attributes) 57

Genetik Algoritmalar Kullanarak EKG Vuru Snandrmas iin z-nitelik Seimi (Feature Selection for ECG Beat Classication usingGenetic Algorithms) 58

Ontoloji Desteiyle Tweet Snandrma (Ontology Based Tweet Clas-sication) 59

Nokta Etiketi Yerletirme Problemi iin Hzl Sezgisel Eniyileme Yn-temleri (Fast Heuristic Optimization Methods for Point Label Pla-cement Problem) 60

ocuklarda iitsel oddball paradigmas esnasnda prefrontal korteksoksijenlenmesinde cinsiyetin etkileri (Gender eects on prefrontalcortex oxygenation levels during auditory oddball task in children) 61

CONTOPT-JS: Srekli Eniyileme Problemleri iin Metasezgisel Algo-ritmalar tabanl bir JavaScript Yazlm Ktphanesi (CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library

for Continuous Optimization Problems) 62

Mobil Tabanl Trak Sular hbar Sistemi (Mobile Based Trac Of-fences Report System) 63

Sezgisel Algoritmalar Kullanlarak Bulank Mantk Denetleyici Opti-mizasyonu (Optimization of Fuzzy Logic Controller by Using He-

uristic Algorithms) 64

Merkezi Sterilizasyon niteleri letimi iin Akll Sistem Modellemesi(Modelling an Intelligent System for Management of Central Ste-rilization Units) 65

Video Grntleri Kullanlarak Src Yorgunluu Sezme SistemiGelitirilmesi (Development of Driver Fatigue Detection System ByUsing Video Images) 67

Full-Wave Simulation-Based Phasing Characteristics of Microstrip Patc-hes for Reectarray Optimization with Neural Network () 68

NI LabVIEW Biyomedikal Yazlm ile EKG aretlerinin znitelikkarm ve Yapay Sinir Alar ile Snandrlmas (Feature Ext-raction of ECG Signals using NI LabVIEW Biomedical Workbench

and Classication with Articial Neural Network) 69

Metin Belgesi Kmelemede Metasezgisel Yntemlere Dayal Kme-leme Algoritmalar (Metaheuristics Based Clustering Algorithmson Document Clustering) 70

RoboCup RRL Manevra 2 Alan iin Otonom Gezinim Algoritmas(Autonomous Navigation Algorithm for RoboCup RRL Maneuve-ring 2 Field) 71

PSCAD ile Rzgar Enerjisi Sistem Tasarm ve Kanat A Kontro-lnn Etkisi (Wind Energy System Design with PSCAD and TheEect of Pitch Control) 72

Kablosuz Uzaktan Kontrol in Platform Gelitirilmesi (Plant Imple-mentation for Wireless Remote Control) 73

Sperpiksel Algoritmalarnn Grltl mgeler in Bltleme Per-formansnn ncelenmesi (Investigation of Segmentation Performan-ces of Superpixel Algorithms for Noisy Images) 74

Askeri Personel in Akll Kyafet Tasarm (Smart Suit Design ForMilitary) 75

Churn Analizinde Snama ve Kmeleme Tekniklerinin Uygulanmas(The Implementation of Classication and Clustering Techniqueson Churn Analysis) 76

Szge Bankas Tasarmnda Kullanlan ABC Algoritmasnn KontrolParametrelerindeki Deiimin Performansa Etkisinin ncelenmesi(Analysis of the Eects of Control Parameters' Variation of ABCAlgorithm Used in Filter Bank Design on the Performance) 77

Grnt leme ve YSA Kullanarak Ara Jantlar PaketlenmesininHataszlatrlmas (Error Reduction in the Vehicle Wheel ArmRim Packaging with Image Processing and ANN ) 78

Raspberry Pi Kullanarak Robot Kol ile Bilgisayar Grme Uygulamas(Computer Vision Application with Robotic Arm Using RaspberryPi) 79

Yaplandrlm renmeye Dayal Trke Duygu Analizi (StructuredLearning Based Turkish Sentiment Analysis) 80

Yol Ak Ynnn Tespiti iin Bir Konvolsyonel Sinir A Modeli(A Convolutional Neural Network Model for Road Flow DirectionDetection) 81

Hilbert-Huang Dnm ve Derin renme Kullanarak Akcier Ses-lerinde Astm Tehisi (The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds) 82

Pediatrik Hasta zleme Sistemleri iin Entegre Kuvz Modl (AnIntegrated Incubator Module for Pediatric Patient Monitoring Sys-

tems) 83

Yapay Ar Koloni Programlama ile Cherkassky Fonksiyon Tahmini(Prediction of Cherkassky Function by Articial Bee Colony Prog-ramming) 84

Paroksismal Atriyal Fibrilasyon Atann Dalgack Dnm Yntem-leriyle Erken Tahmini (Early Prediction of Paroxysmal Atrial Fib-rillation using Wavelet Transform Methods) 85

Elektriksel z-sinapstik Balantl Bir Hodgkin-Huxley NronununAteleme Dinamiklerinin yon Kanal Bloklama Durumunda Dei-imi (Variation of the Spiking Dynamics of a Hodgkin-Huxley Ne-uron with an Electrical Autaptic Connection Under Ion Channel

Blocking ) 86

Akll Sistem Uygulamalar in DC Motor Kontrol Deney Seti D-zenei Hazrlanmas (Implementation of DC Motor Control Expe-rimental Setup Platform for Intelligent System Applications) 87

Sr Zekas Optimizasyon Algoritmalar Tabanl Mikroskobik GrntSegmentasyonu (Microscopic Image Segmentation Based on SwarmIntelligence Optimization Algorithms) 88

Dk Seviye Grsel znitelikler ile Basit Bir Konvolsyonel SinirAndan Elde Edilen zniteliklerin Birletirilmesi (Combining Low-Level Image Features with Features from A Simple Convolutional

Neural Network) 89

ok Dilli Metin Analizinde Alan Baml Deerlendirme VerisininOluturulmas (Domain-specic Evaluation Dataset Generator forMultilingual Text Analysis) 90

Kullanclar Snapchat'in Kullanlabilirlii Hakknda Ne Dnyor?(On The Usability Of Snapchat: What do Users' Think About It?) 91

Android Kontroll IP Kameral Gezgin Robot Tasarm (Android Cont-rolled Mobile Robot Design with IP Camera) 93

IV Editr ve Yazarlar 95

Editrler 97Editr: Yaln LER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97Editr: Ylmaz Kemal YCE . . . . . . . . . . . . . . . . . . . . . . . . . 98

Yazar Dizini 99

Ksm I

Kurullar, Program ve Yer

1

Dzenleme Kurulu

ASYU Genel Bakan

Tlay YILDIRIM (YT)

ASYU2017 Konferans Bakan

Yaln LER (K)

Ylmaz Kemal YCE (ALK)

Dzenleme Kurulu yeleri

Ayegl ALAYBEYOLU (K)

Banu DR (YT)

Blent BOLAT (YT)

Fatih TEKBACAK (Adnan Menderes .)

Hasan GNE (ALK)

vn POLAT (Akdeniz .)

zge ZTMUR KARADA (ALK)

Sekreterya

Alperen AKSOY (ALK)

Smeyra AYDEMR

Yusuf Hakan USTA

Tasarm

Gke TANIYAN

3

Danma Kurulu

Abdl Kadir GRR (ankaya .)

Aydn AKAN (zmir Katip elebi .)

Aykut ERDEM (Hacettepe .)

Ayegl UAR (Frat .)

Ayten ATASOY (Karadeniz Teknik .)

Bar ZYER (Atatrk .)

Baak OUZ YOLCULAR (Antalya Akev .)

Cneyt GZEL (Yaar .)

Dervi KARABOA (Erciyes .)

Duygu elik Erturul (Dou Akdeniz .)

Erkut ERDEM (Hacettepe .)

Fikret GRGEN (Boazii .)

Glah TMKL ZYER (Atatrk .)

Hadi Ik AYBAY (Dou Akdeniz .)

H. Il BOZMA (Boazii .

lker KORKMAZ (zmir Ekonomi .)

smail Hakk ALTA (Karadeniz Teknik .)

Kemal Hakan GLKESEN (Akdeniz .)

Levent ETN (zmir Katip elebi .)

M. Hakan HOCAOLU (Gebze Teknik .)

Mutlu AVCI (ukurova .)

Mehmet SALTAN (Sleyman Demirel .)

5

Nihan KAHRAMAN (Yldz Teknik .

Nuran YRKEREN (Kocaeli .)

zcan KALENDERL (stanbul Teknik .)

Recep DEMRC (Gazi .)

Rukiye UZUN (Blent Ecevit .)

Sava AHN (zmir Katip elebi .)

Selen BOZKURT (Akdeniz .)

Selma TEKR (zmir Yksek Teknoloji Enstits)

Serap AHN (zmir Yksek Teknoloji Enstits)

Serdal TERZ (Sleyman Demirel .)

Serdar BROUL (Dzce .)

Serkan TOPALOLU (Yeditepe .)

enol Zafer ERDOAN (Konya Gda ve Tarm .)

Tamer TULGAR (Girne Amerikan .)

Uur GVEN (Dzce .)

Yakup DEMR (Frat .)

Yltan BTRM (Dou Akdeniz .)

Ziya TELATAR (Ankara .)

Dermatas EVANGELOS (University of Patras)

Ender ZCAN (Nottingham University)

Erdal KAYACAN (Nanyang Technology University)

Fehmi SKENDER (International Vision University)

Hiqmet KAMBERAJ (International Balkan University)

Manolya KAVAKLI (Macquarie University)

M. Cenk AVUOLU (Case Western Reserve University)

Robi POLIKAR (Rowan University)

Satyajeet RAJE (US National Library of Medicine)

Thanos STOURAITIS (University of Patras)

Bilim Kurulu

Ahmet Gken

Alev Takn Gm

Ali Narin

Altu Uzunali

Aydn Akan

Ayegl Alaybeyolu

Ayegl Gven

Ayegl Uar

Ayten Atasoy

Banu Ataslar-Ayyildiz

Banu Diri

Blent Bolat

Canan Cengiz

Dervi Karaboa

Ender zcan

Erdem Yazgan

Erkan Uslu

Erturul Saati

Fatih Erdoan Sevigen

Fatma Latifolu

Fikret Grgen

Gokhan Bilgin

Gkalp Tulum

Gkhan Dalkl

Grkem Serbes

Hamdi Tolga Kahraman

Il Bozma

smail Hakk Alta

Lale zylmaz

Mehmet Fatih Amasyal

Mehmet Kuntalp

Mehmet Serdar Gzel

Melis zyldrm

Merve Ayyce Kzrak

Metin Bilgin

Neslihan engr

Nihan Kahraman

Nurhan Karaboga

Ouz Kaynar

Onur Can Kurban

. zgr Bozkurt

vn Polat

zcan Kalenderli

zge ztimur Karada

Peyman Mahouti

Samet klaandr

7

Sedef Kent

Selim Akyoku

Semra er

Serdar Birogul

Serkan Kurt

Serkan Topalolu

Srma Yavuz

Songl Albayrak

Turul Artu

Tunga Gngr

Tlay Yldrm

Tlin Yldrm

Ugur Guvenc

Uur Kesen

Umut Engin Ayten

Umut Uluda

Yakup Kutlu

Yaln ler

Ylmaz Kemal Yce

Yunus Torun

Ziya Telatar

Bilimsel ve Sosyal Program

9

Konferansn Yeri

ASYU-2017 Konferans Alanya'da bulunan Asia Beach Resort & Spa Oteli'nde ger-ekletirilmitir. Otel, Akdeniz'in turizm merkezlerinden birisi olan Alanya ehirmerkezinde ve denize 30 metre mesafede bulunmaktadr. Ayrca, herey dahil kon-septli farkl oda alternatieri de sunulmaktadr.

15

Ksm II

Davetli Konumalar

17

Akll Mobil Robotlar Hayalden Geree DntrmekIntelligent Mobile Robots: From Imagination to Reality ASYU-2017

5-7 Ekim 2017AlanyaDavetli Konuma

1Srma YAVUZ1Bilgisayar Mhendislii Blm, Yldz Teknik niversitesi, stanbul, Trkiye

Do. Dr. Srma Yavuz, lisans eitimini Yldz Teknik niversitesi Elektrik M-hendislii blmnde tamamladktan sonra yksek lisans ve doktora almalarnBilgisayar Mhendislii alannda tamamlamtr. Doktora almasnn byk birblmn ngiltere'de Warwick niversitesi'nde tamamlayan Dr. Yavuz halen Yl-dz Teknik niversitesi Bilgisayar Mhendislii blmnde retim yesi olarakalmaktadr. Aratrma alanlar robotik, yapay zeka ve derin renme konula-rna younlamtr. 2006 ylndan beri kurucularndan biri ve yneticisi olduuOlaslksal Robotik Grubu ile zellikle otonom arama kurtarma robotlar ze-rinde almalarna devam etmektedir. 2010 ylndan beri RoboCup yarmalarndaekibi ile birlikte gelitirdikleri robotlar ve algoritmalar ile lkemizi temsil ederekpek ok dl almtr. Ekibin almalar ile ilgili daha fazla bilgi ve videolarahttp://www.robotics.yildiz.edu.tr/ adresinden ve YTU BM Robotics youtubekanalndan eriilebilir.

Yaklak 10 yl nce yapay zeka aratrmalarn gerek bir robota uygulama ha-yali ile balayan almalarmz kapsamnda aratrmalarmzn younlat otonommobil robotlar bu konumann ana baln oluturacaktr. Mobil bir robotun insan-larn da bulunduu dinamik bir ortamda herhangi bir grevi baar ile yapabilmesiiin pek ok yetenee sahip olmas gerekmektedir. SLAM (e zamanl konum belir-leme ve haritalama) yntemleri bilinmeyen bir ortamda robotun herhangi bir greviyapabilmesi iin ihtiya duyaca en temel beceridir. Bunun yan sra otonom keifve insan tespiti iin kullanlan yapay zeka tabanl yntemler ve RoboCup yarmala-rnda edinilen tecrbelere bu konumada yer verilecektir.

http://www.robotics.yildiz.edu.tr/

Eitimde Veri Madencilii UygulamalarData Mining Applications in EducationASYU-2017

5-7 Ekim 2017Alanya

Szl BildiriDavetli Bildiri

1Fehmi SKENDER1Biliim Fakltesi, Uluslararas Vizyon niversitesi, Gostivar , Makedonya

Zamana gre eitimin deimesine de ahidiz. Teknoloji gelimelerine ilikin veritabanlar ve zellikle depolama sistemleri bymekteler, veritabanlar daha fazlahafzaya ihtiya duymaktalar. Bykl hzla artan mevcut verilerin ilenerek ie-risindeki bant ve ilikilerin kefedilmesi, onlara dayal geerli tahminlerinde bulun-mas, iinde bulunduumuz bilgisayar anda nemli bir kavram durumuna gelmi-tir. Birok lkedeki eitim sistemine elektronik gnl yazlm kullanma girmitir.WEB yazlm, zellikle eitim verilerin ilenmesi, eitim ynetim stratejilerinin be-lirlenmesi, zdeerlendirilmesi ve gelime planlarnn yaplmasnda byk bir katkdabulunmaktadr. Baz lkelerinde niversite blm tercihleri serbest olsa da iyi birynlendirmeye daima ihtiya duyulmaktadr. niversite blm veya meslek tercihiyaplrken elektronik gnlkteki verilerin veri madencilik imkanlar teknikleri ile i-lenmesi iyi bir tercih etme zemini saylabilir. Yapm olduumuz aratrmada verimadencilikte kullanlan Tahmin Aac, WEKA ak kodlu yazlm bir de Apriorialgoritmasnn kullanlmasn uygun olarak grlmtr. rencilerin eitim baa-rlarna etki eden faktrlerin belirlenmesinde, veri madencilii yntemleri oldukaetkili sonular verdii bir gerektir.

Anahtar kelimeler: veri madencilii yntemleri; tahmin aac; WEKA; veridepolama bulutlar; veritaban analizi; apriori algoritmas.

We are witnessing the changes in Education by time. Databases on technologydevelopments and especially storage systems grow, Databases need more memory.The discovery of correlations and relationships within the rapidly increasing size ofexisting data and the nding of valid predictions based on them have become an im-portant concept in the computer age we are in. In many countries' education systemhas used electronic logging software. WEB software has provided a great contribu-tion especially in the processing of training data, in the determination of trainingmanagement strategies, self assessment and in the development plans. Although insome countries university department preferences are free, a good orientation is al-ways needed. While the university department or profession is preferred, it is a goodchoice to process the data in the electronic daily with data mining techniques. Inour research we have used the data mining prediction tree, the WEKA open-codesoftware and the Apriori algorithm. It is a fact that data mining methods give veryeective results in determining the factors that aect the educational success of thestudents.

Keywords: data mining techniques; regression tree; WEKA; data storage clo-uds; database analysis; apriori algorithm.

Ksm III

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statistiksel Yapay Ar Koloni AlgoritmasA statistical Articial Bee Colony Algorithm ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Kazm HANBAY1Bilgisayar Mhendislii Blm, Bingl niversitesi, Bingl, Trkiye

Yapay ar koloni algoritmas nispeten yeni bir optimizasyon algoritmas olup glo-bal optimizasyon yetenei ve az sayda kontrol parametresine sahip olduu iin dieroptimizasyon algoritmalar ile karlatrldnda birok avantaja sahiptir. Bununlabirlikte orijinal ABC algoritmasnn yeni zm arama denklemi bir rastgele deikeniermektedir. Bu durum arama uzayn etkili bir biimde gezinmeye ve faydalanmayaizin vermez. Gezinme ve faydalanma yeteneklerini gelitirmek iin, bu alma oriji-nal ABC algoritmas ierisine standart hata temelli yeni zm arama mekanizmasentegre ederek yeni bir standart hata temelli yapay ar koloni algoritmas (SEABC)nermektedir. Standart hata yaklam algoritmann iletilmesi esnasnda optimumaday zmleri bularak ve deiiklikleri iteratif olarak gncelleyebilerek gvenli biraralk salar.SEABC algoritmasnn performans iyi bilinen alt deney fonksiyonuzerinde incelenmi ve elde edilen sonular orijinal ABC, GABC, IABC ve PSABCalgoritmalar ile karlatrlmtr. Deneysel sonular nerilen SEABC algoritmas-nn tm kyaslama fonksiyonlar iin genellikle daha yksek yaknsama hzna vedaha iyi arama yeteneine sahip olduunu gstermitir.

Anahtar kelimeler: sr zekas; yapay ar koloni; nmerik fonksiyon optimi-zasyonu.

Articial bee colony (ABC) algorithm is a relatively new optimization algorithm,which has many advantages compared with other optimization algorithm, such asglobal optimization ability andless control parameters. However, the new solutionsearch equation of original ABC algorithm includes a random variable. This situ-ation does not allow exploring and exploiting the search space eectively. In orderto improve the abilities of exploration and exploitation, this paper proposes a newstandard error-based articial bee colony (SEABC) algorithm by integrating stan-dard error-based new solution search mechanisms into the original ABC algorithm.Standard error approach provides a condence interval that can iteratively updateto the changes and nds the optimum candidate solutions during the execution ofthe algorithm. Theperformance of theSEABC algorithmhas been examined on well-known six numerical benchmark functionsand obtained results have been comparedwith original ABC GABC, IABC ve PSABC algorithms. The experimental resultsdemonstrate that the proposed SEABC algorithm has generally a higher convergencespeed and better search ability for almost benchmark functions.

Keywords: swarm intelligence; articial bee colony; numeric function optimi-zation.

Bulank Mantk Kullanlarak oklu Robot Sistemleri inGvenilirlik Tabanl Grev Paylam Analizi

Reliability Based Task Allocation Analysis for Multi-RobotSystems by Using Fuzzy LogicASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Muhammed Oguz TAS, 1Ugur YAYAN, 1Hasan Serhan YAVUZ, 2Ahmet YAZICI1Elektrik ve Elektronik Muhendisligi Bolumu, Eskisehir Osmangazi Universitesi,

Eskisehir, Turkiye2Bilgisayar Muhendisligi Bolumu, Eskisehir Osmangazi Universitesi, Eskisehir, Turkiye

Robotik sistemler, insanlarn yapmasnn tehlikeli veya zor olduu birok alandakullanlmaktadr. Endstri 4.0 ile birlikte, otonom robotlarn nemi artm ve ro-botik sistemlerin daha uzun sre problemsiz almas iin gerekli olan gvenilirlikvb. kavramlar ne kmtr. Bu almada, bulank mantk kullanlarak robotlararasndaki grev paylam analizi robotlarn gvenilirlii dikkate alnarak yaplm-tr. Bulank karm sistemi yardmyla, tanan yk miktarlar ve tama mesafelerikullanlarak gvenilirlik tabanl grev paylamnn sonucuna karar verilmitir. al-mada, grev paylamlarnn yaknla ve gvenirlie gre yaplmas durumlar analizedilip karlatrlmtr. almalar sonucunda, gvenilirlik tabanl grev paylamsonucu ortaya kan sistem gvenilirlii deerinin, yaknlk tabanl grev paylamsonucu ortaya kan sistem gvenilirlii deerinden yksek olduu grlmtr.

Anahtar kelimeler: gvenilirlik; endstri 4.0; grev paylam; grbz sistem;oklu robot sistemi.

Robotic systems are used many areas where it is dangerous or dicult for peopleto do. The importance of autonomous robots increased with the Industry 4.0, andthe concept of reliability needed more attention for long term operability of roboticsystems. In this study, reliability based task allocation analysis is performed for robotsby using fuzzy logic. With the help of fuzzy inference system, the result of reliabilitybased task allocation are obtained using the amount of carried load and load carryingdistances. In the study, cases of task allocation based on nearest and reliability wereanalyzed and compared. Experimental results showed that, the system reliability thatoccurs with reliability based task allocation is higher than the system reliability thatoccurs with nearest based task allocation.

Keywords: reliability; industry 4.0; task allocation; robust system; multi robotsystem.

Kelimeler Aras Anlamsal likilerin Bulunmasnda Word2vecile ablonlarn Karlatrlmas

Comparison of Templates with Word2vec in FindingSemantic Relations Between Words ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Kaan ANT, 1Uur SOUKPINAR, 1Mehmet Fatih AMASYALI1Bilgisayar Mhendislii Blm, Elektrik-Elektronik Fakltesi, Yldz Teknik

niversitesi, STANBUL

Doal dil ileme almalarnn daha etkili yaplabilmesi iin kelimeler aras an-lamsal ilikileri ieren veri tabanlarnn kullanm giderek yaygnlamaktadr. Kelimetorbas yaklam yerine nerilen anlamsal uzaylar kelimeler aras ilikilerin byk-lklerini vermekte ancak iliki trn ifade etmemektedir. Bu almada anlamsaluzaylarn iliki tr bulmada nasl kullanlabilecei gsterilmi ve ablonlar ynte-miyle karlatrlmas yaplmtr. Olduka byk (1 GB) bir derlem zerinde eldeedilen sonulara gre st kavramdr ve zt anlamldr, ilikileri iin anlamsal uzay-lar daha baarl olurken, nerede bulunur, neyden yaplmtr iliki trlerinde veilikisizliin belirlenmesinde ablonlar yaklam daha baarl olmutur.

Anahtar kelimeler: doal dil ileme; hayat bilgisi veritabanlar; anlamsal uzay-lar; iliki ablonlar.

The use of databases those containing semantic relationships between wordsis becoming increasingly widespread in order to make natural language processingwork more eective. Instead of the word-bag approach, the suggested semantic spacesgive the distances between words, but they do not express the relation types. In thisstudy, it is shown how semantic spaces can be used to nd the type of relationshipand it is compared with the template method. According to the results obtained ona very large scale, while "is_a" and "opposite" are more successful for semanticspaces for relations, the approach of templates is more successful in the relationtypes "at_location", "made_of" and " non relational ".

Keywords: natural language processing; commonsense databases; semanticspaces; relation templates.

Harris Ke Bulma Algoritmasnn Hacimsel Grntler iinUygulanmas

Implementation of Harris Corner Detection Algorithm forVolumetric ImagesASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Ceyda Nur ZTRK, 1Songl ALBAYRAK1Bilgisayar Mhendislii Blm, Yldz Teknik niversitesi, zmir, Trkiye

boyutlu (3-B) hacimsel grntler iin daha etkin ke noktas tespit etmekiki boyutlu (2-B) grntlerde alan Harris ke bulma algoritmasnn ncboyuta geniletilmesiyle mmkn olabilir. Bu almada hacimsel nesne grnt-lerindeki ke noktalarn belirlemek iin 2-B kesitlerdeki ke noktalarn bulanstandart Harris algoritmasyla bunun 3-B uyarlamas lek uzaynda uygulanmtr.lek uzay oluturmada farkl yaklamlar kullanan 2-B ve 3-B yntemler ile rneknesne grntleri zerinde elde edilen sonular nitel olarak deerlendirilmitir.

Anahtar kelimeler: hacimsel grnt; 3-B Harris ke bulma; lek uzayoluturma; nitel deerlendirme.

More eective detection of corner points in three dimensional (3-D) volumet-ric images can be possible through expansion of Harris corner detection algorithm,which run in two dimensional (2-D) images, into third dimension. In this study, thestandard algorithm of Harris that detected corner points in 2-D slices and its 3-Dversion were implemented in the scale-space to determine the corner points of volu-metric object images. The results obtained in sample object images with 2-D and 3-Dmethods that used dierent approaches for scale-space construction were qualitativelyassessed.

Keywords: volumetric image; 3-D Harris corner detection; scale-space const-ruction; qualitative analysis.

Uyarlamal A Tabanl Bulank Mantk karm Sistemi leYa Tahmini

Rainfall Prediction Using Adaptive Neuro-Fuzzy InferenceSystem ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1zlem TERZ, 1Onur ZCANOLU, 2Tahsin BAYKAL1naat Mhendislii Blm, Sleyman Demirel niversitesi, Isparta, Trkiye2Yap Eitimi Anabilim Dal, Sleyman Demirel niversitesi, Isparta, Trkiye

Ya tahmini, su kaynaklarnn doru bir ekilde kullanm ve planlanmasndaolduka nemli bir yer tutmaktadr. Bu almada, ya tahmininde uyarlamal atabanl bulank mantk karm sisteminin (ANFIS) geerlilii aratrlmtr. Farklgirdi kombinasyonlar ile modeller gelitirilmi ve ya tahmini iin ANFIS model-lerinin baarl sonular verdii belirlenmitir.

Anahtar kelimeler: ya; su kaynaklar; ANFIS modeli; Isparta.

The rainfall prediction is of great importance in the utilization and planning ofwater resources. In this study, the validity of Adaptive Neuro-Fuzzy Inference System(ANFIS) in rainfall prediction is investigated. The ANFIS models are developed withdierent input combinations and it is observed that ANFIS models give successfulresults in rainfall prediction.

Keywords: rainfall; water resources; ANFIS model; Isparta.

Epigenetik Algoritmann Yazlma UyarlanmasAdaptation to Software of Epigenetic AlgorithmASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Serdar BROUL1Bilgisayar Mhendislii Blm, Teknoloji Fakltesi, Dzce niversitesi, Dzce,

TRKYE

Genetik algoritmalarn (GA) baarl bir zm algoritmas olarak olduu birokalmada ortaya konmutur. Bu almada Epigenetik kavramnn GA'nn daha iyizm ve daha ksa srede sonu bulabilmesi iin farkl bir bak as sunulmakta-dr. GA'da rastgelelik sz konusudur. Ancak tp ve biyolojik alannda zerine ciddiaratrmalar yaplan konulardan biri olan epigenetiin GA tasarmna uyarlanmasbu rastgelelii daha az hale getirmektedir. Epigenetik ile aprazlama ve mutasyonunrastgele olmas srecin de ans eseri olduunu gstermemektedir. Klasik GA da yeralan aprazlama ve deiim operatrlerine ek olarak EGA yazlmnda epiaprazlamave epideiim operatrleri, epigenetik faktrlerin nasl ilev grd ve epikaltmnnasl mmkn olduu anlatlmtr.

Anahtar kelimeler: epigenetik; genetik algoritma; epiaprazlama; epideiim;epikaltm.

Genetic algorithm has been used in several researches to be a successful solutionalgorithm. In this study, Concept of Epigenetic is presented dierent perspective forGA to nd a better solutions and results in short time. Randomness is a matter ofGA.Adaptation of the epigenetic to GA design, which is one of the research topicthat have been seriously investigated in the eld of medicine and biology Reducesthis randomness.randomization of Epigenetic crossing and mutation shows that theprocession is not lucky happened.In addition crossover and change operators in theclassical GA, epicrossover and epimutation operators in EGA software,shows howepigenetic factors work and how epiheritance is possible.

Keywords: epigenetic; genetic algortihm; epicrossover; epimutation; epiheri-tance.

Rulmanlarda Bilezik Arzalarnn Yapay Sinir Alar ileTespiti ve Snandrlmas

Detection and Classication of Ring Failures by ArticialNeural Networks in Bearings ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Yunus Emre KARABACAK, 2Hamdi Tolga KAHRAMAN, 1Levent GMEL,3Cemal YILMAZ

1Makine Mhendislii Blm, Karadeniz Teknik niversitesi, Trabzon, Trkiye2Yazlm Mhendislii Blm, Karadeniz Teknik niversitesi, Trabzon, Trkiye3Elektrik Elektronik Mhendislii Blm, Gazi niversitesi, Ankara, Trkiye

Makinelerin verimini arttrmann ve mrn uzatmann etkili bir yolu rulmanla-rn alma srasnda arzalarnn tespit edilmesidir. Rulman arzalarnn erken tespitedilmesi retim maliyetleri asndan da kritik neme sahiptir. Arzalar nlemek iineitli bakm yntemleri kullanlmaktadr. Tm nlemlere ramen beklenmedik ar-zalar oluabilmekte ve retim faaliyetleri aksayabilmektedir. Bu durum gelenekselyntemlerin dnda sra d bir arza tespit ve tehis tekniine ihtiyac dourmutur.Bu almada rulman arzalarn erkenden tespit etmek ve arza tipini snandrmakamacyla yapay zek tabanl yntemler uygulanmakta ve modeller gelitirilmektedir.Gelitirilen modellerde farkl yklenmelere ve rulman titreim bilgisine bal olarakbilezik hatas tespiti yaplmaktadr. Ayrca hatann i ya da d bilezikten kaynaklan-dna ynelik bir snandrma gerekletirilmektedir. Gerek hatann tespiti gereksede snfnn belirlenmesi zellikle kritik endstriyel uygulamalarda kararl almayve verimlilii artracaktr.

Anahtar kelimeler: rulman; bilezik hatas; snandrma.

An eective way to improve the eciency and extend the life of the machines is todetermine the failures of the bearings during operation. Early detection of bearing fa-ilures also has critical importance in terms of production costs. Various maintenancemethods are used to prevent the failures. Despite all the precautions, unexpected fa-ilures can occur and production operations can be failed. This situation, apart fromconventional methods, requires a novel determination and diagnostic technique. Inthis study, articial intelligence based methods are applied and models are developedin order to detect bearing failures early and to classify the type of failure. In the de-veloped models, it is possible to detect the ring failures depending on dierent loadsand bearing vibration information. In addition, a classication is carried out for thefault from the inner or outer race of the bearing. Determination of the fault, as wellas the diagnosis of the class, will increase stability and productivity, especially incritical industrial applications.

Keywords: bearing; ring failures; classication.

MFSK Kiplenimli aretlerde Dalgack AyrtrmasKullanarak Kiplenim Snandrlmas

Modulation Classication of MFSK Modulated Signals UsingWavelet DecompositionASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Burcu BARI, 1Damla KUNTALP, 1Mehmet Emre EK1Elektrik-Elektronik Mhendislii Blm, Dokuz Eyll niversitesi, zmir, Trkiye

Bu almada, akll haberleme sistemlerindeki nemli problemlerden birisi olanalcya gelen iarete ait kiplenim trnn belirlenmesi iin dalgack ayrtrmas ta-banl bir yntem nerilmitir. Bu yntemde ama, M-seviyeli frekans kaydrmalanahtarlamaya sahip (M-ary FSK) iaretlerde kiplenim trnn tespit edilmesi iingnderici iaretin tasarlanmas ve Ayrk Dalgack Dnm (ADD) ile her bir fre-kans bandna den enerjilerin tespit edilmesidir. Bunun iin alt bandlardaki iaretle-rin standart sapmalar znitelik olarak kullanlmtr. Snandrcnn performansndeerlendirmek iin farkl iaret grlt oran (SNR) seviyelerinde benzetim alma-lar yaplmtr. Frekans aral deitirilerek elde edilen sonular karlatrldnda,uygun tayc frekans ve frekans aral seildiinde K-ortalama kmeleme algorit-mas kullanan snandrcnn literatrde raporlanan sonulara gre daha yksekdoru snandrma baarmna sahip olduu grlmektedir.

Anahtar kelimeler: m-seviyeli frekans kaydrmal anahtarlama (MFSK); ayrkdalgack dnm; dalgack ayrtrmas; k-ortalama kmeleme algoritmas.

In this study, a wavelet decomposition based method is proposed for determiningthe modulation type of the incoming signal to the receiver which is one of the im-portant problems in intelligent communication systems. In this method, it is aimedto design the transmitted signal for determining the type of M-ary FSK modulatedsignal and to detect the energy in each frequency band by using Discrete WaveletTransform (DWT). For this, standard deviations in the lower bands are as features.In order to evaluate the performance of the classier, simulation studies have beenperformed at dierent signal-to-noise ratio (SNR) levels. When the results for dif-ferent frequency settings, i.e. carrier frequency and frequency range, it is seen thatthe classier using the K-means clustering algorithm has a higher correct classica-tion performance than the results reported in the literature when the suitable carrierfrequency and frequency range are selected.

Keywords: m-ary frequency shift keying (MFSK); discrete wavelet transform;wavelet decomposition; k-means clustering algorithm.

Arduino ile Sera Otomasyonu TasarmDesign of Greenhouse Automation with Arduino ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Erkan NAL, 1Kadir EKMEKC, 1Berkan YILMAZ, 1Ali Emre KIZILTUNA,1Muhammet Tahir GNEER

1Elektrik Elektronik Mhendislii Blm, Karabk niversitesi, Karabk, Trkiye

Bu almada, Arduino Mega tmdevre kart kullanlarak bir sera otomasyon sis-temi tasarlanmtr. Bu tasarmla, bitkinin topraa dikiminden, rnn toplanmazamanna kadar olan srete, farkl bitki trlerine gre sera ortamnn nemi, kiddeti, sulama miktar ve scaklk gibi parametrelerin kontrol ve ynetimi planlan-mtr. Kurulan sistem toprakl ya da topraksz tarm tm sera uygulamalar ileuyumlu olarak dizayn edilmitir.

Anahtar kelimeler: akll tarm; Arduino; sera otomasyonu.

In this study, a greenhouse automation system was designed by using ArduinoMega card. This system was planned to display and control the greenhouse datasystem, which is including humidity, light intensity, soil moisture and temperaturefor the process from sowing of plant to harvesting, was planned for various plants.The system was designed compatible with soil or the landless greenhouses systems.

Keywords: smart agriculture; Arduino; greenhouse automation.

oklu Veri Depo Ortamn Kullanan Alana zg VarlkBalama Yaklam

A Domain Specic Entity Linking Approach ConsumingMultistore EnvironmentASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Emrah NAN, 1Burak YNYL, 2Fatih TEKBACAK1Bilgisayar Mhendislii Blm, Ege niversitesi, zmir, Trkiye

2Bilgisayar Mhendislii Blm, Adnan Menderes niversitesi, Aydn, Trkiye

Web zerindeki verilerin ou yapsal olmayan bir halde bulunmaktadr ve bunedenle makinelerin ileyebilecei bir yapya dntrlmesi gerekmektedir. Dolay-syla yapsal olmayan bu verilerin ncelikle gereksinime gre yapsallatrlmas vekullanm durumlarn dikkate alarak farkl veri modellerinde saklanmas uygun ola-caktr. Gereksinimler ve eitleri arttka tek bir yntem hepsini zmede yetersizkalmaktadr. Buna gre farkl saklama ihtiyalarn karlayan tek bir saklama tek-nolojisinin kullanlmas da uygun olmayacaktr. Farkl tipte emaya sahip depolarn(store) birlikte ve btnleik olarak ynetilmesi veritaban literatrnde multistoreve polystore (oklu depo) olarak ifade edilmektedir. Bu alma kapsamnda VarlkBalama problemi zerinde durularak veriler yapsallatrlacak ve bu veriler farklveri modellerinde btnleik bir ortamda ynetilecektir. Son olarak btnletirilmibu byk veri ortam sorgulanacak ve yntem belirlenerek incelenecektir.

Anahtar kelimeler: byk veri; oklu depo; sorgulama; varlk balama; veribtnletirme.

Most of the data on the web is non-structural, and it is required that the datashould be transformed into a machine operable structure. Therefore, it is appropriateto convert the unstructured data into a structured form according to the requirementsand to store those data in dierent data models by considering use cases. As require-ments and their types increase, it fails using one approach to perform on all. Thus,it is not suitable to use a single storage technology to carry out all storage require-ments. Managing stores with various type of schemas in a joint and an integratedmanner is named as multistore and polystore in the database literature. In thispaper, Entity Linking task is leveraged to transform texts into well-formed data andthis data is managed by an integrated environment of dierent data models. Finally,this integrated big data environment will be queried and be examined by presentingthe method.

Keywords: big data; querying; multi store; entity linking; data integration.

Hzl Ate Bcei AlgoritmasA Fast Firey Algorithm ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Rt AKAY, 2Alper BATRK1Mekatronik Mhendislii Blm, Erciyes niversitesi, Kayseri, Trkiye2Bilgisayar Mhendislii Blm, Erciyes niversitesi, Kayseri, Trkiye

Bu almada, yeni bir optimizasyon algoritmas olan ate bcei algoritmasnhzlandrmak iin paralel hesaplama sistemlerinin getirdii avantajlardan faydalanl-mtr. Gerekletirilen modelde poplasyon alt poplasyonlara blnm ve her biralt poplasyonun farkl bir ilemcide almas salanmtr. Yaygn olarak kullan-lan baz test fonksiyonlar zerinde elde edilen sonulardan, gerekletirilen modelinalgoritmann performansn etkilemeden hzn belirgin bir ekilde arttrd grl-mtr

Anahtar kelimeler: Ate bcei algoritmas; paralel hesaplama; MPI.

In this study, the advantages of the parallel compution paradigms are utilized ina recent optimization algorithm, rey algorithm. In the proposed implementation,the population is divided into subpopulations and each subpopulation is run on a dif-ferent processing node. From the results on commonly used benchmark functions, theproposed model enhances the computation cost without comprosing on the solutionquality.

Keywords: Firey algorithm; parallel computing; MPI.

Grnt leme Tekniklerine Dayal Sinirsel-Bulank SistemModeli Kullanarak Buday Danelerinin SnandrlmasClassication Of Wheat Grains Using Image Processing

Techniques Based Neuro-Fuzzy System ModelASYU-20175-7 Ekim 2017

AlanyaSzl Bildiri

1Ahmet KAYABASI, 1Kadir SABANCI, 1Abdurrahim TOKTAS1Elektrik-Elektronik Mhendislii Blm, Karamanolu Mehmetbey niversitesi,

Karaman, Trkiye

Bu almada, grnt ileme tekniklerine (GT) dayal Sugeno tip sinirsel-bulanksistem (SBS) modeli kullanarak buday danelerinin, ekmeklik ve makarnalk olaraksnandrlmas ilemi sunuldu. SBS modelinin eitim ve test srecinde kullanlacakveri setini elde etmek iin 200 buday danesinin grntleri yksek znrlklkamera ile alnmtr. Uzunluk, genilik, alan, evre ve doluluk olmak zere 5 adetboyut zellii, GIT kullanlarak elde edilmitir. Sonra, SBS modeli, 180 budaydanesinin boyut zellii giri olacak ekilde kullanlarak eitilmi ve modelin do-ruluu da geriye kalan 20 buday danesi ile test edilmitir. nerilen SBS modeli,test srecinde saysal olarak 0.0312 ortalama mutlak hata (OMH) ve %100'lk birdoruluk ile buday danelerini ekmeklik ve makarnalk olarak snandrmtr. Busonular GT ve SBS modelinin buday danelerinin ekmeklik ve makarnalk olaraksnandrlmasnda baarl bir ekilde kullanlabileceini gstermektedir.

Anahtar kelimeler: snandrma; buday daneleri; grnt ileme teknikleri;sinirsel-bulank sistem.

In this study, an image processing techniques (IPTs) and a Sugeno-typed neuro-fuzzy system (NFS) model is presented for classifying the wheat grains into bread anddurum. Images of 200 wheat grains are taken by a high resolution camera in orderto generate the data set for training and testing processes of the NFS model. Thefeatures of 5 dimensions which are length, width, area, perimeter and fullness areacquired through using IPT. Then NFS model input with the dimension parametersare trained through 180 wheat grain data and their accuracies are tested via 20data. The proposed NFS model numerically calculate the outputs with mean absoluteerror (MAE) of 0.0312 and classify the grains with accuracy of 100% for the testingprocess. These results show that the IPT based NFS model can be successfully appliedto classication of wheat grains.

Keywords: classication; wheat grains; image processing technique; neuro-fuzzy system (NFS).

Aktivite Tanmada Yapay Sinir Alar ve GenetikProgramlama Yntemlerinin Karlatrlmas

Comparison of Articial Neural Networks and GeneticProgramming Methods For Activity Recognition ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1aatay Berke ERDA, 1,*Tun AUROLU, 1Koray AICI, 1Hasan OUL1Bilgisayar Mhendislii Blm, Bakent niversitesi, Ankara, Trkiye

Giyilebilir sensrlerin yaygnlamasyla beraber sensrlerden elde edilen ham ve-rilerin ilenmesiyle aktivite tanma problemine getirilen zmler yaygnlamayabalamtr. Bu balamda literatrde eitli uygulamalar olmakla beraber, bu al-mada aktivite tanmada popler olarak kullanlan yapay sinir a yntemleri (ANN,RBFNN) ve genetik programlama (GP) ynteminin ivmeler verisinden karlanzaman, frekans ve dalgack (wavelet) znitelikleri zerinden performans karlat-rlmas hedef alnmtr. Bahsi geen alma kapsamnda alnan sonulara bakld-nda, ulalan en baarl snandrma performans zaman znitelikleri kullanlarak,ok katmanl perseptronun ara katmannda 31 nron kullanlmas ile %75.09 olarakelde edilmitir.

Anahtar kelimeler: yapay sinir alar; genetik programlama; aktivite tanma;sensr.

With the widespread use of wearable sensors, the processing of raw data obtainedfrom sensors has led to widely-used solutions to the problem of activity recognition.In this context, it is aimed to compare the performance of articial neural networkmethods (ANN, RBFNN) and genetic programming (GP) methods over time, frequ-ency and wavelet features extracted from the accelerometer data. The most successfulclassication performance achieved was 75.09% using 31 neurons in the hidden layerof the multilayer perceptron, using time attributes.

Keywords: articial neural networks; genetic programming; activity recogni-tion; sensor.

ok Fonksiyonlu Protez El Hareketleri in Yzey EMGSinyali Tabanl Uzman Sistem Tasarm

Design of Expert Systems Using Surface EMG Signal forMovements of Multi-Function Prosthetic HandASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1,2Yaln LER1Biyomedikal Mhendislii Blm, zmir Katip elebi niversitesi, zmir, Trkiye

2slerya Medikal ve Biliim Teknolojileri San. Tic. A.., zmir, Trkiye

Ksmen felli hastalarda ve el, kol yada bacak kaybna uram bireylerde ek-sik uzuvlarnn yerine kullanlmak zere protez tasarmlar bulunmaktadr. Gn-mzde mevcut olan protez eller temel birka fonksiyonel zellik sunmasna ramen,gndelik hayatta bir elin sahip olduu zelliklere kyasla ok kstl ve yetersizdir.Son zamanlarda EMG sinyalleri insan-makine arabirimleri tasarmlarnn vazgeil-mez unsurlarndan biri halinegelmitir. Protezlerin gerek bir uzuva benzemeleri iinEMG sinyallerinin kullanm bir seenek olacaktr. rnt tanma tabanl el kontrolalgoritmalar, zrl kiiler iin yapay el retmek amac ile kullanlmaktadr. Bualmada; nkol kaslarndaki EMG (ElektroMiyoGra) iaretlerini kullanarak, okilevli (drt nkol hareketi: el serbest, el skl, kaslma ve geveme) el kontrol iindrt snandrc (k-yakn komuluk, MLP, RBF ve SVM) incelenmitir. Snand-rclarn eitim ve testinde, EMG iareti tabanl zaman alan istatistiksel lmlerkullanlmtr. Sonu olarak, SVM snandrcs ile en yksek snandrc baarmelde edilmitir.

Anahtar kelimeler: yzey EMG; protez el; uzman sistemler.Destekleyen: zmir Katip elebi niversitesi, Bilimsel Aratrma Projeleri Ko-

ordinatrl, 2013-2-FMBP-49 nolu projesi.

There are prosthetic designs that can be used instead of their lack of limbs ofpatients who are partially paralyzed or are amputated of hand, arm or leg. Altho-ugh recent commercial prosthetic hands provide some functional properties, they areso limited and inecient by comparing to original hand of everyday life. Recently,EMG signals have become an indispensable part in human-machine interface designs.Using EMG is an option to establish similarity between prosthesis and original extre-mity. Pattern recognition based prosthesis hand control algorithms have largely beenused to produce articial hand for handicapped people. This paper was investigatedfour classiers (k-nearest neighbor, MLP, RBF and SVM) for multi-functional (fourforearm movements: hand open, hand wrist, exion and extension) hand control byusing EMG signals from forearm muscles. In training and testing of classiers, EMGsignal based statistical features were used. As a result, SVM classier has shown ma-ximum accuracy for all subjects.

Keywords: surface EMG; prosthetic hand; expert systems.Supported by: Izmir Katip Celebi University, Scientic Researches Coordina-

torship, Project of 2013-2-FMBP-49.

Tasarlanm Engebeli Ortamda Otonom Mobil RobotGezinimi

Autonomous Mobile Robot Navigation in Structured RoughTerrain ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Azad YAAR, 1Erkan USLU, 1Furkan AKMAK, 1Nihal ALTUNTA, 1MehmetFatih AMASYALI, 1Srma YAVUZ

1Bilgisayar Mhendislii Blm, Yldz Teknik niversitesi, stanbul, Trkiye

Robotik almalarnda temel problemler: haritalama, konum belirleme, gezinimve keif olarak verilebilir. Gezinim problemi, robot konumu, ortama ilikin ksmi ha-rita ve hedef nokta biliniyorken bu hedef noktaya en iyi yolun izilmesi ve bu yoluntakip edilmesi problemidir. Yol bulma ve yol takibi problemleri; ortamn statik veyadinamik olmas, mobil robotun hareket kabiliyeti, mobil robot zerinde kullanlansensrlerin zellikleri ve ortamdaki engebelerin zellikleri asndan farkl kapsam-larda deerlendirilebilir. almada Gazebo simlasyon ortamnda, oluturulmu 4tekerli, kzakl ynlendirme srl robot ile lazer mesafe sensr ve derinlik sen-sr kullanlmtr. Yine Gazebo simlasyon ortamnda tasarlanm statik labirent;15 derece srekli rampalar, 15 derecelik sreksiz rampalar, robotun ziki olarakaamayaca ukurlar, duvarlar ve robot lazer hizasnn altnda kalan sreksiz en-geller iermektedir. alma kapsamnda 2B eanl konum belirleme ve haritalama,3B haritalama, 3B haritaya gre yol bulma ve yol takibi Robot letim Sistemi(ROS) kullanlarak gereklenmitir. A* algoritmasnda sezgisel terime, elde edilen3B haritada dmler aras ykseklik farknn bir fonksiyonunun katlmas ile en-gebeli ortamda hedefe en iyi yolun izdirilmesi salanmtr. izdirilen yolun takipedilmesinde ise yolu oluturan her ardk iki dm arasnda nce robotun ara he-defe ynelmesi sonrasnda ise ara hedefe ilerlemesi salanmtr. Labirent ortamndayaplan testlerde gelitirilen yaklamn engel kanm, yol bulma ve yol takibindebaarl sonular verdii grlmtr.

Anahtar kelimeler: otonom mobil robot; gezinim; engebeli ortam; 3B harita-lama; A*; ROS; Gazebo.

Main study areas for robotics research can be given as: mapping, localization,navigation and exploration. Given a robot's current position, partial map of the en-vironment and a goal position; navigation problem can be dened as optimal pathplanning and path following. Path planning and path following problem should behandled according to environment being static or dynamic, robot's mobility capabili-ties, sensors used on the robot and the roughness of the environment. In the study afour wheeled, skid-steering robot with laser range nder and depth sensor is built forGazebo simulation environment. Also a statically structured labyrinth that consistsof 15 degree continuous ramps, 15 degree discontinuous ramps, amorphous holes thatrobot cannot autonomously escape from if fallen into, walls and discontinuous obstac-les that are below the robot laser height. 2D simultaneous localization and mapping,3D mapping, path planning and path following with respect to the 3D map are imple-mented on Robot Operating System (ROS). Optimal path planning in rough terrainis accomplished by combining A* heuristic with a function of height dierence of the3D map nodes. Path following is carried out by turning-to and moving-towards acti-ons on each sequential path node pairs. Tests performed on the labyrinth shows that

obstacle avoidance, path planning and path following can be carried out successfullywith the given implementation.

Keywords: autonomous mobile robot; navigation; rough terrain; 3D mapping;A*; ROS; Gazebo.

Google Play Maazas zerinden Kullancnn EriebildiiAkll Park Sistemi Mobil Uygulamalar zerine Bir alma

A Study on Smart Park System Mobile ApplicationsRetrievable by The Users Over Google Play Store ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Samet DNER, 1E. Rfat YILDIZ, 1Yltan BTRM, 1Duygu ELKERTURUL

1Bilgisayar Mhendislii Blm, Dou Akdeniz niversitesi, Gazimausa, K.K.T.C.

Bu almada, Google Play maazas zerinden kullancnn eriebildii akllpark sistemi snfna giren Android tabanl mobil uygulamalar aratrlmtr. nce-likle, Google Play maazas zerinde alt sorgu altrlarak 66 tekil ilgili uygulamaadayna eriilmitir. Daha sonra, incelemeler yaplarak bu ilgili uygulama adaylarierisinden akll park sistemi snfna giren dokuz tekil ilgili uygulama belirlenmive deerlendirilip tartlmtr. "RTA Dubai", en yksek indirilmeye sahip uygula-madr ve ayrca, "Zenpark rzerves un parking" uygulamas ile birlikte en gnceluygulamadr. Sadece akll park sistemi odakl uygulamalar gz nnde bulundu-rulduunda, "Zenpark rzerves un parking" hem indirilme says en yksek hem deen gncel uygulamadr. "Voicepark" uygulamas en fazla ilevi barndran uygulamaolarak ne kmaktadr. Literatrde benzerine rastlanmayan bu alma, aratrma-cya, kullancya ve/veya gelitiriciye katk salayabilir bir almadr.

Anahtar kelimeler: akll park sistemi; Android; mobil uygulama.

In this study, the Android-based-mobile applications which are classied as smartpark system and retrievable by the user over Google Play store were investigated.Firstly, 66 unique relevant-application-candidates were retrieved with six queriesran on Google Play store. Afterwards, by doing examinations, smart-park-system-classied nine unique relevant applications were determined from the relevant-application-candidates and these were evaluated and discussed. "RTA Dubai" is the most down-loaded application and furthermore, it is the most up-to-date application togerherwith "Zenpark rzerves un parking" application. When only the smart-park-system-oriented applications are considered, "Zenpark rzerves un parking" is the most do-wnloaded as well as the most up-to-date application. "Voicepark" application comesforward as the one which covers the most number of functions. This study that no li-kewise was encountered in the literature could contribute researcher, the user and/ordeveloper.

Keywords: smart park system; Android; mobile application.

zete - Anahtar Kelimeler; akll park sistemi; Android; mobil uygulamaAbstract

Paralel Yapay Ar Koloni Algoritmas iin RastgeleKaynaklar ile Yeni Bir Gmen retme Yaklam

A New Emigrant Creation Strategy with RandomizedSources for Parallel Articial Bee Colony AlgorithmASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Seluk ASLAN, 2Dervi KARABOA, 3Alperen AKSOY1Bilgisayar Mhendislii Blm, Ondokuz Mays niversitesi, Samsun, Trkiye

2Bilgisayar Mhendislii Blm, Erciyes niversitesi, Kayseri, Trkiye3Bilgisayar Mhendislii Blm, Alanya Alaaddin Keykubat niversitesi, Alanya,

Trkiye

Poplasyon tabanl algoritmalarn mevcut sistemlerin hesaplama gcnden fay-dalanabilmek zere alt poplasyon ya da kolonilere ayrlp e zamanl iletilmesi ensk bavurulan paralelletirme yaklamlar arasnda yer alr. Ancak bu genel yakla-m, poplasyonun alt poplasyonlara ayrlyor olmas sebebi ile zm eitliliiniazaltmakta ve zm eitliliini iterasyonlarn sonuna kadar koruyabilmek adna altpoplasyonlar arasnda zmlerin g ettirilmesine ihtiya duymaktadr. Bu al-mada, alt poplasyonda g ettirilmek zere seilen en iyi zmn parametrelerininayn alt poplasyondaki rastgele belirlenmi zm ya da zmlerin daha uygunparametreleri ile gncellendii yeni bir yaklam nerilmi ve bu yaklamn paralelYapay Ar Koloni (Articial Bee Colony, ABC) algoritmasnn performans zerin-deki etkileri incelenmitir. Uygulama sonular, rastgele zm destekli yeni gmenretme stratejisinin paralel Yapay Ar Koloni algoritmasnn yaknsama performansve zm kalitesini, seri ABC algoritmas ve dorudan en iyi zmn gmen olarakseildii ring komuluk topolojili paralel ABC algoritmasna gre nemli oranlardaiyiletirildiini gstermitir.

Anahtar kelimeler: sr zekas; Yapay Ar Koloni algoritmas; paralelletirme.

Dividing the whole population into subpopulations or subcolonies then evaluatingthem simultaneously is one of the most commonly used parallelization approachesto utilize the computational power of the current systems. However, this type ofparallelization strategy decreases the population diversity because of the division ofthe entire population and needs migrations between subpopulations to maintain thesolution diversity until the end of the iterations. In this study, we proposed a newemigrant creation strategy in which the parameters of the best food source being mig-rated to the neighbor subpopulation is modied with the more appropriate parametersof the randomly determined solution or solutions and investigated its eect on theperformance of the parallel Articial Bee Colony (ABC) algorithm. Experimentalstudies showed that newly proposed emigrant creation strategy based on randomizedsolutions signicantly improved the convergence performance and solution qualitiesof parallel ABC algorithm compared to the its standard serial and ring neighborhoodtopology based parallel implementation for which the best solutions are directly usedas emigrants.

Keywords: swarm intelligence; Articial Bee Colony algorithm; parallelization.

Meteorolojik Tahmin Destekli Yapay Sinir A ile Gnncesi Saatlik Gne Inm Kestirimi: Trabzon ili rnei

Prediction of Day Ahead Hourly Solar Radiation byMeteorological Forecasting Supported Articial Neural

Network: A Case Study for Trabzon Province ASYU-20175-7 Ekim 2017AlanyaSzl Bildiri

1Sibel EVK, 2Recep AKMAK, 1smail Hakk ALTA1Elektrik Elektronik Mhendislii Blm, Karadeniz Teknik niversitesi, Trabzon,

Trkiye2Elektrik Elektronik Mhendislii Blm, Gmhane niversitesi, Gmhane,

Trkiye

Yenilenebilir enerji kaynaklarndan elektrik retimi her geen gn artmaktadr.Elektik ebekesinin kararl bir ekilde almasn salamak iin kesintili ve deikenkarakteristie sahip olan yenilenebilir enerji kaynaklarndan yaplacak olan reti-min doru tahmin edilmesi gerekmektedir. Bu almada gn ncesi saatlik gneradyasyonunu tahmin etmek iin meteorolojik tahmin verileri ile desteklenen okkatmanl yapay sinir a (YSA) sistemi nerilmektedir. Bu balamda sebep sonuilikisine dayal olarak alan bir YSA sistemi tasarlanmtr. Tasarlanan yapay si-nir ann yapaca gne nm kestiriminin doruluunu arttrmak iin benzergn seim algoritmas gelitirilmitir. Mevsimleri kendi ierisinde deerlendirerek,her mevsim iin farkl bir yapay sinir a oluturulmutur. Tasarlanan YSA modeli,MATLAB benzetim programnda MATLAB'n YSA ara kutusunda bulunan kodlarkullanlmadan tasarlanm, eitilmi ve test edilmitir. nerilen YSA sistemi kulla-nlarak Trabzon ili iin gn ncesi saatlik gne nm tahmini yaplmtr. Yap-lan tahminlerin doruluu, ortalama mutlak yzde hata (OMHY), karesel ortalamahata(KOH), ortalama mutlak hata(OMH) ve korelasyon katsays(r) performans l-tleri ile deerlendirilmitir.

Anahtar kelimeler: gne nm kestirimi; yapay sinir a; yapay zeka; tah-min; Trabzon.

Electricity generation from renewable energy sources is increased day by day. Ac-curate estimation of electricity generation from the renewable energy sources whichhave intermittent and variable characteristics is a requirement to ensure stable ope-ration of the electrical grid. In this study, a multi-layer articial neural network(ANN) system, which is supported by meteorological forecasting data, has been pro-posed to predict day ahead hourly solar radiation. In this context, the ANN systemwhich operates by based on cause-eect relationship has been designed. In order toincrease accuracy of the solar radiation prediction of the designed ANN, a similar dayselection algorithm has been developed. A unique ANN has been constituted for eachseason by evaluating the seasons within itself. The designed ANN model has been de-signed, trained and tested in MATLAB simulation environment without using codesof the MATLAB ANN toolbox. Day ahead hourly solar radiation of Trabzon provincehas been predicted by the proposed ANN. The accuracy of the predictions has beenevaluated by the mean absolute percentage error (MAPE), the root means squarederror (RMSE), the mean absolute error (MAE) and the correlation coecient (r)performance measures.

Keywords: prediction of solar system; articial neural networks; articial in-telligence; forecasting; Trabzon.

Diferansiyel Evrim Algoritmas Kullanlarak EksponansiyelHatlar ile Alak Geiren Filtre Tasarm

Design Optimization of Low-Pass Filter with ExponentialTransmission Lines Using Dierential Evolutionary

Algorithm ASYU-20175-7 Ekim 2017AlanyaSzl Bildiri

1Aysu BELEN, 1Filiz GNE, 2Mehmet Ali BELEN, 1Mahdi Ranjbar MOULE1Elektronik ve Haberleme Mhendislii Blm, Yldz Teknik niversitesi, stanbul,

Trkiye2Elektrik Elektronik Mhendislii Blm, Artvin oruh niversitesi, Artvin, Trkiye

Bu almada mhendislik problemlerinin zmnde etkin olarak kullanlmayabalanan diferansiyel evrim algoritmas (DEA) yntemi kullanlarak alak geirenltre tasarm gerekletirilmitir. Temel olarak genetik algoritma tekniine benzeralma prensibine sahip olan diferansiyel evrim algoritmas, dier sezgisel algoritma-lara oranla yapsal olarak daha basit olmasna karn optimum deerlere ulamadadaha kararl bir yntemdir. DEA ile optimum bir mikroerit alak geiren ltre ta-sarm iin, katsal mikroerit iletim hatlar birim hat paralarna blnerek genilikve uzunlua gre empedans deiimi incelenmitir. ncelikle mikroerit iletim hatmodeli seilmitir. Daha sonra ise, DEA bu hatlara ait optimum kalnlk ve uzunluk-larn tespiti iin ayarlanmtr. Algoritma maliyet fonksiyonu aday devrenin salmaparametrelerinin frekans band boyunca incelenmesi ile elde edilmitir ve optimumsonucu verecek parametreleri elde edecek ekilde ayarlanmtr. Son olarak, diferan-siyel evrim algoritmas ile mikroerit band geiren ltre tasarm yaplarak sonulartablo ve grakler ile verilmitir.

Anahtar kelimeler: optimizasyon; Diferansiyel Evrim algoritmas; eksponen-siyel hatlar; alak geiren ltre.

In this work, Dierential Evolutionary Algorithm (DEA), a novel and commonlyused optimization algorithm in engineering problems, is applied for the design opti-mization of a low pass lter with exponential transmission lines. Basically the prin-ciple of DEA is similar to genetic algorithms techniques, however compare to meta-heuristic algorithms it has a much simpler algorithm structure and higher stabilitycompare to its counterpart algorithms. For design optimization of low pass lter withexponential transmission lines, each of the transmission lines width and variationwith its length are taken as an optimization variable for DEA. Firstly the unit mic-rostrip transmission line model is chosen. After that, the optimal value of widthsand lengths are obtained via DEA. The cost function of the DEA is based on thecalculation of scattering parameters of candidate's solutions crossed the requestedfrequency bandwidth.

Keywords: optimization; Dierential Evolutionary algorithm; exponential trans-mission lines; low-pass lter.

Parack Srs Optimizasyonu Kullanlarak Ters SarkaSisteminin Kesir Dereceli PID ile Kontrol

Control of Inverted Pendulum Using Fractional Order PIDControllers Based on Particle Swarm OptimizationASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Cemilcan MACT, 1Banu ATALAR-AYYILDIZ1Elektronik ve Haberleme Mhendislii Blm, Kocaeli niversitesi, Kocaeli, Trkiye

Robotik alannda yaplan bilimsel almalarda, denge konusunu en iyi temsileden rnek ters sarkacn denge hareketidir. Bu sebeple, kararsz ve dorusal olma-yan yapsyla ters sarka sistemleri, kontrol tasarm yntemlerinin uyguland veperformans karlatrmasnn yapld balca sistemlerden biridir. Bu almada,ters sarka sisteminde yer alan sarka ve ara konumunu kontrol etmek iin Para-ck Srs Optimizasyon (PSO) algoritmas ile optimize edilen kesir dereceli PIDkontrolr tasarm yaplmtr. Ayrca, nerilen kontrolrn performansn test etmekamacyla, ayn optimizasyon algoritmas kullanlarak PID kontrolr tasarlanmtr.Tasarm yaplan kontrolrler iin kontrol sonular simlasyonlarla elde edilerek,graksel olarak ters sarka sistemi zerinde performanslar karlatrlmtr.

Anahtar kelimeler: ters sarka sistemi; kesir dereceli PID; parack srsoptimizasyonu.

Issue of balance in robotics is best represented by the balancing act of the in-verted pendulums. With their unstable and nonlinear behaviour, Inverted Pendulumsystems are quite popular systems in which various control design methods are app-lied and performance comparisons are carried out. In this study, in order to controlthe pendulum angle and car position of the inverted pendulum system, a fractionalorder PID controller is designed. Gains of the designed controller are optimized byParticle Swarm Optimization method. On the other hand, for the aim of comparisonof performance, conventional PID controllers are used for controllers. The optimumvalues of gains for PID controllers are also found by same optimization algorithm.The simulation results of both controllers are compared for the inverted pendulum.

Keywords: inverted pendulum; fractional order PID; particle swarm optimiza-tion.

Diyabetli Birey zlem SistemiMonitoring System for Patients with Diabetes Mellitus ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Elif Hafsa ZFT, 2Yaln LER1Bilgisayar Mhendislii Anabilim Dal, zmir Katip elebi niversitesi, zmir, Trkiye

2Biyomedikal Mhendislii Blm, zmir Katip elebi niversitesi, zmir, Trkiye3slerya Medikal ve Biliim Teknolojileri San. Tic. A.., zmir, Trkiye

eker hastal, gzn yapsn etkileyerek almasn bozmakta ve sonrasndagrme kayplarna yol amaktadr. Diyabetik Retinopati ad verilen bu hastalnbulunduu safhaya bal olarak grme gcnde ani kayplar ve bulank grme so-runlar oluur. Diyabetik Retinopati hastalnda hastaln tedavisi kadar tehisininhzl ve doru olmas da nemlidir. Damarlarn retina grntleri ierisinde otoma-tik tespit edilmesi, doktorlara gz hastalklarnn tehisi, hastalk snandrmas vedier klinik almalar asndan olduka faydal olacak almalardr. Damarlarnekli ve yaps hastaln evresinin yan sra hastaln iddeti ile ilgili bilgi de ver-mektedir. Damarlarn otomatik ve hzl bir ekilde tespiti hastala ait tehisin hzlbir ekilde konulmasnn yan sra tedavi srecine de ksa zamanda balanmasn sa-lar. Bu almada Diyabetik Retinopati hastalna ait retinal grntlere ynelikROI (Region of Interest) tespiti ve damar karma yntemlerinden bahsedilmektedir.Grnt ilemede kullanlan Frangi ltresinin damar karmnda baarl bir ekildekullanlabilecei gsterilmektedir.

Anahtar kelimeler: damar bltleme; damar tespiti; retina; ROI; Frangi lt-resi.

Diabetes disrupts work by aecting the structure of the eye and afterwards leadsto loss of vision. Depending on the stage of disease that called diabetic retinopathy,there are sudden loss of vision and blurred vision problems. Depending on the stageof disease that called diabetic retinopathy, there are sudden loss of vision and blurredvision problems. Automated detection of vessels in retinal images is a useful studyto diagnose eye diseases, disease classication and other clinical trials. The shapeand structure of the vessels give information about the severity of the disease andthe stage of the disease. Automatic and fast detection of vessels allows for a quickdiagnosis of the disease and the treatment process to start shortly. ROI detection andvessel extraction methods for retinal image are mentioned in this study. It is shownthat the Frangi lter used in image processing can be successfully used in detectionand extraction of vessels.

Keywords: vessel extraction; vessel detection; retina; ROI; Frangi lter.

3B Yazcdan retilen 3 Kancal Miyoelektrik El ProtezininsEMG Sinyalleri ile Kontrol Edilmesi

The Control of 3D printed 3 Hooked Myoelectric HandProsthesis with sEMG SignalsASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1,2Yaln LER, 1Yusuf Hakan USTA, 3Yoncagl ELK, 1MohammadGHOSHEH

1Biyomedikal Mhendislii Blm, zmir Katip elebi niversitesi, zmir, Trkiye2slerya Medikal ve Biliim Teknolojileri San. Tic. A.., zmir, Trkiye3Makina Mhendislii, zmir Katip elebi niversitesi, zmir, Trkiye

Son yllarda sEMG sinyallerinin saptanmas ve analizi tp ve biyomedikal alann-daki klinik ve klinik ncesi almalarda nemli bir noktaya gelmitir. Bu almada,biyomedikal ve tp alannda kullanlabilecek ucuz maliyetli temel ekstansiyon veeksiyon hareketi yapabilen kiiye zg 3 kancal ve tek servo motorlu miyoelektrikel protezi tasarlanmas, 3 boyutlu (3B) yazc ile retilmesi ve sEMG sinyallerinilebilen elektronik devre kart ile kontrol edilmesi amalanmtr. Bu amaca uy-gun olarak, Solidworks program ile 3 kancal el protezi tasarlanmtr. Daha sonra3 boyutlu yazc ile retimi yaplmtr. Devre tasarm ve retimi yaplan sEMGsinyalleri, mikro denetleyici ile analog sinyallerden dijital sinyallere evrilip servomotor sayesinde temel ekstansiyon ve eksiyon hareketleri yaptrlmtr. Ayn ha-reketler Biopac renci Deney Seti (MP-36) ile tekrarlanarak sEMG sinyallerinindoruluu test edilmitir. Daha sonra retilen devre kart ile servo motorun balolduu 3B yazcdan retimi yaplan kancal el protezi test edilmitir. Sonularkarlatrlmal olarak verilmi ve voltaj deerlerine gre tepki deerleri kiiye zgbelirlenmitir. Tek motor kullanm enerji tasarrufu ve uzun mrllk asndanavantaj salamaktadr. Modelin 3B boyutlu yazcdan retilmesinden dolay hafolmas rahat kullanma destek olmaktadr. Dier yandan retim kolayl ve mali-yeti sayesinde ampute bireylerin bu tarz rnlere ulaabilirliliini kolaylatrabileceidnlmektedir.

Anahtar kelimeler: kiiye zg modelleme; 3 boyutlu tasarm ve bask; miyo-elektrik el protezi; sEMG.

Destekleyen: zmir Katip elebi niversitesi, Bilimsel Aratrma Projeleri Ko-ordinatrl, 2013-2-FMBP-49 nolu projesi.

In recent years, the detection and analysis of sEMG signals have become acritical point in clinical and preclinical studies in the eld of medical and biomedical.The aim of this study is to design a personalized myoelectric hand prosthesis withthree hooks and single servo motors which can be used in biomedical and medicalelds with low-cost basic extension and exion movements, to be produced with 3-dimensional (3B) printer and to control sEMG signals with the electronic circuitboard. It is designed with the hand prosthesis of 3 hooks with the SolidWorks prog-ram as appropriate. Then it was produced with the 3D printer. The circuit designand production of the sEMG signals were converted to digital signals from the mic-rocontroller and analog signals and the basic motor and exion movements weremade by the servo motor. The same movements were repeated with the Biopac Stu-dent Experiment Set (MP-36) and the accuracy of sEMG signals was tested. Later,

the prototype of the three hooked hand prostheses that produced from the 3D printer,with which the servo motor was connected with the circuit board produced was tested.The results are given comparatively and the response values according to the voltagevalues are determined to be person-specic. The use of a single motor gives an ad-vantage in terms of energy saving and longevity. It is lightweight and comfortable touse because it is produced from the 3D printer. On the other hand, it is thought thatamputees can make it easier for individuals to access these products thanks to theease of production and cost.

Keywords: personalized modeling; 3D design and printing; myoelectric handprosthesis; sEMG.

Supported by: Izmir Katip Celebi University, Scientic Researches Coordina-torship, Project of 2013-2-FMBP-49.

PSO Tabanl PID ve PID Denetleyiciler ile Senkron MotorunUyartm Akm Denetimi ve Reaktif G Kompanzasyonu

Benzetim almasA Simulation Study on Controlling Excitation Current ofSynchronous Motor and Reactive Power Compensation via

PSO Based PID and PID ControllersASYU-20175-7 Ekim 2017

AlanyaSzl Bildiri

1Ahmet GAN, 1Erdal KILI, 1. Fatih KEECOLU, 2Hakan AIKGZ,1Mustafa TEKN, 1Mustafa EKKEL

1Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu ImamUniversity, Kahramanmara, Trkiye

2Department of Electrical Science, Kilis 7 Aralik University, Kilis, Trkiye

Enerji talebinin her geen gn daha da artmas mevcut enerji kaynaklarnn ve-rimli bir ekilde kullanlmasn gerektirmektedir. Endstriyel tesislerde harcanan ya-rarl g aktif g olduundan bu tesislerde tketilen reaktif g minimuma indiril-meli, ya da bu ihtiya ebeke yerine baka bir kaynaktan salanmaldr. Dolaysylaebekenin g faktr dzeltilerek kaynaktan ekilen reaktif g azaltlr. Elektrikg sistemlerinde g faktr dzeltilmesi ilemi reaktif g kompanzasyonu olarakadlandrlmaktadr. Ar uyartlmas durumunda kapasitif reaktif g reten senk-ron motorlar g sistemlerinde dinamik kompanzatr olarak kullanlrlar. Senkronmotorun hem mekanik g retmede hem de reaktif g kompanzasyonunda kulla-nlmas endstriyel tesisler iin daha ekonomik olmaktadr. Bu durum endstriyeltesislerin verimini arttrmaktadr. Literatrde reaktif g kompanzasyonu ile gsisteminin verimliliini, kapasitesini ve deiik alma koullarnda kararlln sa-layabilmek iin birok alma bulunmaktadr. Gnmzde biyolojik sistemlerdenesinlenilmi birok optimizasyon teknii bulunmaktadr. Bu tekniklerden biri de kusrlerinin davranlarndan esinlenerek ortaya karlm bir optimizasyon yntemiolan Parack Srs Optimizasyonudur (PSO). Bu almada PSO tabanl PID veZiegler Nichols (Z-N) tabanl PID denetleyiciler ile senkron motorun uyartm akmdenetlenerek bir g sisteminin reaktif g kompanzasyonu yaplmtr.

Anahtar kelimeler: uyartm akm; Parack Sr Optimizayonu.

The increasing need for energy requires using existing energy sources more ef-ciently. Because it is the active power that supplies useful power for industrialfacilities, reactive power must be minimized, and supplied by another source insteadof electrical grid. Therefore, reactive power supplied by the grid can be reduced viaby correcting power factor of the grid. In electrical power systems, power factor cor-rection is called reactive power compensation. Generating reactive power during ex-cessive excitation, synchronous motors are used as dynamic compensators in powersystems. Synchronous motors are more cost-eective for industrial facilities whenthey are used to generate mechanic power and compensate reactive power, whichincreases the eciency of industrial facilities. There are various studies focusing onthe eciency, capacity and stability of the power system via reactive power compen-sation in the literature. In today's world, there are numerous optimization techniquesinspired by biological systems. One of these techniques is Particle Swarm Optimiza-tion (PSO) inspired by the movements of swarms of birds. This study focuses on the

reactive power compensation of a power system by controlling the excitation currentof a synchronous motor via PSO based PID and Ziegler Nichols (Z-N) based PIDcontrollers.

Keywords: excitation current; Particle Swarm Optimization.

Yapay Zeka Tabanl Akll Muhasebe Android MobilUygulama Tasarm

ASYU-20175-7 Ekim 2017

AlanyaSzl Bildiri

1Muhammet Serhat OKYAY, 1Ayegl ALAYBEYOLU, 1Aytu ONAN1Bilgisayar Mhendislii Blm, zmir Katip elebi niversitesi, zmir, Trkiye

2Yazlm Mhendislii Blm, Celal Bayar niversitesi, Manisa, Trkiye

Bu almada yerel ve global irketlerin n muhasebesi iin kullanlan ETA, NET-SS, vb. muhasebe yazlmlarnn kulland ilikisel veri tabanlarndan (MSSQL,Mysql, Postgre SQL, vb.) istenilen datalarn okunup, belli bilgilerin veri tabannayazlmas ve bu bilgilerin son kullancya Andriod iletim sistemine sahip bir mobiltelefon yada tablet zerinden yerel sunucu sistemine internet zerinden ve bulutteknolojisi kullanlarak mekandan bamsz bir sekilde mobil uygulama olarak kul-landrlmasn salamaktr. Ayrca irketin ileyii anndaki muhasebe bilgilerindentoplanp bulut sunucu zerinde oluturacamz yeni veri setlerinin yapay zeka algo-ritmalarndan genetik algoritma ile yorumlanp irketin genel performans ve irketinubelerinin performanslar hakknda kullancya mali bte tahmini ve stok yatrmbtesi tahmini ve yatrmlarnn nasl ekillenmesi gerektii hakknda uygulamatarafndan nerilerde bulunulacaktr. Uygulamamz yerel sunucu bulut sunucu Android iletim sistemli mobil cihaz arasndaki iletiimi, kullanc arayzn ve arkaplanda calacak olan yapay zeka ve uygulama servislerini barndrcaktr. Bu uy-gulamann en nemli hedeeri gncel yazlm ve donanm teknolojilerinin rmalarasunulmas, kolay eriebilirliin arttrlmas ve bunlar doru analiz yapabilme, anndakarar verme gibi insana zg olan zellikleri kullanarak karar veren veya tavsiyelerdebulunan yapay zeka ile birletirerek gereki zmler elde etmektir.

Anahtar kelimeler: yapay zeka; genetik algoritma; Andriod; bulut sunucu;SQL.

In this study, the necessary data obtained from the databases (such as MSSQL,Mysql, Postgre SQL, etc.) of the softwares like ETA and NETSS that are used forpre-accountancy of the local and global companies will be read, some of the data willbe written to the databases, and this data will be used by the end user by using mobilephones or tablets carrying Android operating systems and working with internet andcloud technology. In addition, new data sets that are collected on a cloud system fromthe accounting data while the company is on will be studied by genetic algorithmswhich is one of the articial intelligence algorithms. Then, users will be reported bythe App developed here to inform them about the company's and its brach oces'performances and making suggestions about such as nancial budget estimation,stocks investment budget estimation, how to shape the investments. Our App willbe worked on a system of local server, cloud server, mobile devices having Androidoperating system, and include a user interface and articial intelligence workingbackground. The most important aims of this study are supplying the most updatedsoftware and hardware technologies to companies, increasing the easily availabilityand deciding or recommending solutions using the characteristics similar to human,such as making the right analysis and decisions right away more rapidly for morerealistic solutions.

Keywords: articial intelligence; genetic algorithm; Android; cloud server;SQL.

Sosyal Amdaki Duygusal UyumEmotional Harmony in My Social Network ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Kaan ANT, 1Banu DR1Bilgisayar Mhendislii Blm, Yldz Teknik niversitesi, stanbul, Trkiye

Mikroblog gnmzde nternet kullanclar arasnda ok popler bir iletiimarac haline gelmitir. Mikroblog sitelerinde yazlanlar doal dil ileme almalariin byk bir veri madeni nitelii tamaktadr. Bu platformlar zerinde yaplan a-lmalar genellikle gr analizi (olumlu, olumsuz, ntr) zerine olup, metinlerdekiduyguyu tespit etmekte yetersiz kalmaktadr. Bu almada doal dil ilemenin me-tinlerde geen duyguyu tanmada nasl kullanlabilecei gsterilmi ve Trke dilineait bir duygu tanma arac gelitirilmitir. Twitter kullanclarnn yazm olduu me-tinler alntlanarak "mutluluk, korku, fke, zgn" duygularn barndran tweetlerbir vektr olarak ifade edilirken, "soldan k" ve "ikili vektr" ad verilen yntemlerkullanlmtr. ki yntemde de "mutluluk" ve "korku" snar yksek baarmlarlatespit edilirken, "kzgn" ve "zgn" snarnn baarmlar bu iki duygunun yazmdilinde birbirine yaknl sebebiyle daha dk olmutur.

Anahtar kelimeler: doal dil ileme; duygu analizi; twitter.

Microblog has become a very popular communication tool among internet usersthese days. Microblog sites are a great data mine for natural language processing.Studies on these platforms are insucient to determine the emotion in texts basedon opinion analysis (positive, negative, neutral). In this study, it was shown hownatural language processing can be used in sentence recognition in texts and a toolfor recognizing emotion in Turkish language has been developed. The texts written byTwitter users are quoted and tagged with tweets that contain feelings of "happiness,fear, anger, sadness". Labeling was done using "left -k" and "binary vector" methods.In both methods, the "happiness" and "fear" classes are labeled with high achieve-ments, but the achievements of the "anger" and "sad" classes are lower because ofthe closeness of the two senses.

Keywords: natural language processing; emotion analysis, twitter.

Derin renme Kullanarak Gerek Dnya DokuGrntlerinin Zorlu Koullarda Tannmas

Recognition of Real-World Texture Images UnderChallenging Conditions With Deep LearningASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1zal YILDIRIM, 2Ayegl UAR, 2Ula Baran BALOLU1Bilgisayar Mhendislii Blm, Munzur niversitesi, Tunceli, Trkiye2Mekatronik Mhendislii Blm, Frat niversitesi, Elaz, Trkiye

Gerek dnyadan elde edilen grntler zerinde eitli kalite bozulmalar mey-dana gelebilmektedir. rnein hareket halindeki bir nesnenin grntlenmesi veyabir ortamn hareket halindeyken grntlenmesi grnt zerinde hareket izi etkisioluturmaktadr. Bu tr artlarda elde edilen grnt verileri zerinde tanma i-lemi gerekletiren uzman sistemlerin yksek tanma performans salamas nemlibir alma konusudur. Bu makale almasnda, zorlu artlar altnda grntlerinyksek baarmla snandrlmas iin Konvolsyonel Sinir A (KSA) tabanl birDerin Sistem Modeli (KSA-DSM) nerilmitir. nerilen bu modelde klasik KSAkatmanlarna ek olarak bozulmu grnt verilerini katmanlara sren bir artrmakatman tasarlanmtr. almann performans testleri iin gerek dnyadan eldeedilen eitli yzey grntleri Curet veri tabanndan seilerek kullanlmtr. Eldeedilen sonular sunularak tartlmtr.

Anahtar kelimeler: derin renme; konvolsyonel sinir a; gerek dnya dokugrntleri.

Images obtained from the real world environments usually have various distorti-ons in image quality. For example, when an object in motion is lmed, or when anenvironment is being lmed on the move, motion tracking eects occur on the image.Increasing the recognition performance of expert systems, which perform image re-cognition on data obtained under such conditions, is an important research area. Inthis study, we propose a Convolutional Neural Network (CNN) based Deep SystemModel (CNN-DSM) for accurate classication of images under challenging conditi-ons. In the proposed model, a new layer is designed in addition to the classical CNNlayers. This layer works as an enhancement layer. For the performance evaluations,various real world surface images were selected from the Curet database. Finally,results are presented and discussed.

Keywords: deep learning; convolutional nerural networks; real-world textureimages.

Yapsal Benzerlik ve Optik Ak Histogram ile AnomaliTespiti

Anomaly Detection with Structural Similarity and OpticalFlow Histogram ASYU-2017

5-7 Ekim 2017AlanyaSzl Bildiri

1Kadriye Z, 2smail Rakp KARA1Mekatronik Mhendislii Blm, Karabk niversitesi, Karabk, Trkiye2Bilgisayar Mhendislii Blm, Karabk niversitesi, Karabk, Trkiye

Bu almada, gzetim sistemleri iin tasarlanm bir anomali tespit ve lokali-zasyon sistemi sunulmaktadr. Yeni bir zellik tanmlayc nerilmektedir. Normaldurumlar ieren videolardan optik ak histogram ve yapsal benzerlik indisi kulla-nlarak konum-zamansal tanmlayclar elde edilmektedir. Modellemede yapay siniralarndan z dzenleyici haritalar kullanlmaktadr. nerilen sistem UCSD verise-tinde denenmitir.

Anahtar kelimeler: anomali tespiti; optik ak histogram; yapsal benzerlikindisi; video gzetim.

In this paper, we present an anomaly detection and localization system for sur-veillance systems. A new feature descriptor is proposed. The spatio-temporal identi-ers are obtained by using optical ow histogram and the structural similarity indexfrom the videos that contain normal conditions. An articial neural network, Self-organizing maps are used in modeling. The proposed system has been tested on theUCSD dataset.

Keywords: anomaly detection; optical ow histogram; Structural Similarityindex; video surveillance.

Yz Tanma Sistemlerinde Yerel zniteliklerin KullanlmasUsing Local Features in Face Recognition SystemsASYU-2017

5-7 Ekim 2017Alanya

Szl Bildiri

1Yldz AYDIN, 1Funda AKAR1Bilgisayar Mhendislii Blm, Erzincan niversitesi, Erzincan, Trkiye

Bilgisayarla grme alanndaki birok uygulama arasnda, yz tanma sistemleri;zerinde youn almalar yaplan ve uzun zamandr allan bir konudur. Genelolarak znitelik karm ve snandrc admlarndan oluan yz tanma sistemle-rinin baars sadece snandrcya deil ayn zamanda kullanlan zniteliklere debaldr. Yz tanma sisteminde znitelik seiminin amac farkl yz grntlerinintannmas iin ayrt edici zniteliklerin elde edilmesidir. Bu ama dorultusunda bualmada leklemeye ve an dnmlere kar deimeyen znitelikler olan SIFT,SURF ve SIFT+SURF znitelii kullanlmtr. Ayrca bu yerel zniteliklerle ile k-yaslama yaplabilmesi iin global bir znitelik olan HOG znitelii de almayaeklenmitir. Snandrma destek vektr makinesi kullanlarak gerekletirilmitir.Deneysel sonular yerel zniteliklerin global znitelik olan HOG zniteliine kyasladaha baarl olduunu gstermitir.

Anahtar kelimeler: yerel znitelikler; SIFT; SURF; SIFT+SURF; yz tanmasistemleri.

Among the many applications in the eld of computer vision, face recognitionsystems; is a subje