Cinsdikici's Diary

Assoc.Prof.Dr. Muhammed Cinsdikici

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Cinsdikici Publications

Patents

Posted by cinsdikici on September 2, 2013

1.  BİR TRAFİK AKIŞ KONTROL SİSTEMİ

Başvuru Bilgileri
 Başvuru Numarası : 2007/08506
 Evrak Numarası : 2007-G-248012
 Tescil Numarası : 2007 08506
 Başvuru Tarihi : 2007/12/07
 Evrak Tarihi : 2007/12/07
 Tescil Tarihi : 2011/05/23
 Başvuru Şekli : Ulusal Başvuru
 Koruma Tipi : Patent
 Yayın Tarihi : 2009/06/22
Buluş Sahipleri
MUHAMMED GÖKHAN CİNSDİKİCİUluslararası Bilgisayar Enstitüsü, Ege Üniversitesi, Bornova İZMİR
KEMAL MEMİŞAselsan A.Ş. Trafik Sistemleri Müdürlüğü 10016 Sokak No: 16 A.O.S.B Çiğli 35620 İZMİR
Başvuru Sahipleri
Buluşun Tasnif Sınıfları:  G08G 1/00
ASELSAN ELEKTRONİK SANAYİ VE TİCARET ANONİM ŞİRKETİMehmet Akif Ersoy Mahallesi 16. Cadde No: 16 Yenimahalle ANKARA

 

2.  TEKLİ MANYETİK HALKA ÜZERİNDE YAPAY SİNİR AĞI KULLANARAK ARAÇ SINIFLAMA SİSTEMİ ve YÖNTEMİ

Başvuru Bilgileri
 Başvuru Numarası : 2011/11266
 Evrak Numarası : 2011-G-308100
 Tescil Numarası : 2011 11266
 Başvuru Tarihi : 2011/11/15
 Evrak Tarihi : 2011/11/15
 Tescil Tarihi : 2014/06/23
 Başvuru Şekli : Ulusal Başvuru
 Koruma Tipi : Patent
 Yayın Tarihi : 2013/06/21
Buluş Sahipleri
MUHAMMET GÖKHAN CİNSDİKİCİ Uluslararası Bilgisayar Enstitüsü Ege Üniversitesi BORNOVA İZMİR
SONER META Aselsan Elektronik Sanayi Ve Ticaret Anonim Şirketi Sst Trafik Sistemleri Müdürlüğü 10016. Sokak No:16 A.O.S.B. ÇİĞLİ İZMİR
Başvuru Sahipleri
Buluşun Tasnif Sınıfları:  G08G 1/042
ASELSAN ELEKTRONİK SANAYİ VE TİCARET ANONİM ŞİRKETİ Mehmet Akif Ersoy Mahallesi 296. Cadde No:16 Yenimahalle ANKARA

 

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Conference Papers

Posted by cinsdikici on April 18, 2013

International Conference Papers

Dağdeviren Z.A., Oğuz K., Cinsdikici M., 2015, “Yapısal Beyin MR Görüntülerinin MNI Görüntü Uzayına Otomatik Çakıştırılması“, 23. Sinyal Isleme ve Uygulamalari (SIU’2015, 23.th), pp:359-362, Malatya, Turkey, DOI:10.1109/SIU.2015.7129833, [PPT], [PDF]

Candemir, C., Cetinkaya C., Kilicceker, Cinsdikici M., 2013, “Retina Damar Görüntülerinde Tipik Noktaların Bulanık RBF Modeliyle Sınıflandırması“, 21.Sinyal Isleme ve Uygulamalari (SIU’2013, 21.st), Haspolat, Kıbrıs, DOI:10.1109/SIU.2013.6531382,  [PDF]

Aydın D., Cinsdikici, M.G.,2009,’An Ant-Based Algorithm to Detection of Blood Vessels in Retinal Images’, International Symposium on INnovations in Intelligent SysTems and Applications (INISTA 2009) , pp. 512-:516.

Cinsdikici, M., Memis, K., 4-6 June 2008, ‘Traffic flow evaluation at a short section using multiple regression approach’,7.th European Congress and Exhibition on ITS (Intelligent Transport Systems and Services), ITS?2008 – Geneva Switzerland, paper ID: 2650: http://www.itsineurope.com/index.cfm?do=timetable.paper&paperID=2650&sessionID=372

Aslan S., Uzer Y., Isik O., Altun M., Cinsdikici M., 2008, ‘A Simple and Improvable Method for Face Region Extraction’ – 23.th Int.Symposium on Computer and Information Sciences (ISCIS’08, 23.th), Istanbul, 10.1109/ISCIS.2008.4717884, [PDF]

Cinsdikici M., Memis K., 16-20 Nov 2008, ‘Direction-Based Freeway Traffic Flow Classification’, PaperID:20416, 15.World Congress on Intelligent Transport Systems, NewYork, USA – Presenter: Ugur Turkoglu, https://1bosweb3.experient-inc.com/Events/ITSA/WorldCongress2008/Agenda/agenda_by_track.cfm?track=&no=90290&

Karlik B., Cinsdikici M., Jones A.H., 9-21 October 2001, ?A Manufacturing Plant Control Using Convolutional Neural Net Le-Net5?, NIMIA 2001 – SC2001-2001 NATO Advanced Study Institute on Neural Networks For Instrumentation – Measurement, and Related Industrial Applications:Study Cases Crema, Italy, pp.133-137

Cinsdikici M., Yuceturk A.C, Ozturk Y., 27-29 Ekim 1997, ‘Partitioned Generalized Euclidean Distance’, The Proceedings of the Twelfth International Symposium on Computer and Information Sciences (ISCIS?XII), Antalya, pp:623-628

National Conference Papers

Aslan, S., Tunali, T., Cinsdikici, M., 2007, ‘A Comparative Study of Feature Metrics for Classification of Human Passport Photos,’ Signal Processing and Communications Applications, SIU 2007. IEEE 15th , vol., no., pp.1-4, 11-13 June 2007 – DOI: 10.1109/SIU.2007.4298721

Olgen K., Inceoglu M., Cinsdikici M., Ikiz F., 6-9 Ekim 2004, ?Ege Unv. Co?rafi Bilgi Sistemi?, 3.Cografi Bilgi Sistemleri Sempozyumu, Istanbul

Can O., Cinsdikici M., Bozkurt M., 5 Subat 2003, ‘Bilgisayar agi teknolojileri uzmanligi egitimi’, Akademik Bilisim’03 Konferansi, Paper No:54, Adana.

Cinsdikici M., 1-4 Mayis 2003, ‘Internet Protokolu Uzerinden Ses Iletimi (VoIP, ?Voice Over Internet Protocol) Hakkinda Ilgili Yasalara Teknik Gozle Bakis?, Bilgi Teknolojileri Kongresi II, Poster ID:131,Denizli

Inceoglu M., Cinsdikici M., 2002 vd., ‘Avrupa Bilgisayar Kullanim Yeterliligi Sertifikasi (ECDL) Akrediteli bir Bilgisayar Egitim Programinin Uyarlanmasi’, BTIE 2002 (Bili?im Teknolojileri Isiginda Egitim Konferansi), sayfa 162-166

Yuceturk A.C., Cinsdikici M., Ozturk Y., ‘Continuous Learning on Kohonen SOM?, Sekizinci Yapay Zeka ve Sinir Aglari Sempozyumu Bildirileri (TAINN?99), Bo?azi?i ?niversitesi, 23-25 Haziran 1999, ?stanbul.

Cinsdikici M., Toker L., ‘ATM Aglar?nda Y?nlendirme Algoritmalarinin Etkinlestirilmesine Yonelik Algoritma Tasarimlari’, 1998, INET-TR’98 (4.Internet Turkiye Konferansi), ?stanbul.

Cinsdikici M., Yuceturk A.C., Ozturk Y., ?ATM Networkleri icin Yapay Sinir Agi Cozumleri?, 14. Ulusal Bilisim Kurultayi(BILISIM?97) Bildirileri, ?stanbul, 3-6 Eyl?l 1997, s:55-59 1997,

Cinsdikici M., Yuceturk A.C., Ozturk Y., ‘A Neural Network Approach to Color Reduction with False Color Elimination’, New Trends in Artificial Intelligence and Neural Networks, Edited by T.Ciftcibasi, M.Karaman, V.Atalay – (based on TAINN?97 Symposium), Ankara, 1997,pp:206-210

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My Completed Projects

Posted by cinsdikici on December 3, 2011

Project1: [2007-2009] Ege University Campus Car Entrance Tracking System with LPR Project,

[Budget: $7200]

Advisor: Asst.Prof.Dr. Muhammet Gokhan Cinsdikici

In this project, LPR project is adopted for Ege University. This project aims to support security systems in campus. University security department has reported several violations related with unknown automobiles. They keep track of cars manually. This project aims to report all cars automatically and alerts the unidentified cars to security department.

Project2: [2004-2008] [TÜBİTAK – 104 S 236] Designing and Implementing Non-invasive Electrochemical Measurement Equipment Hardware & Software Systems for Glucoses Inspection.

[Budget: $100000]

Advisor: Asst.Prof.Dr. Muhammet Gokhan Cinsdikici

In this project, Pharmacy department has designed new non-invasive equipment to measure glucoses. This hardware is located in wrest watch. The base of the watch is covered with special chemicals that react under certain micro voltage energy levels with human tears. My position in this project is constructing a neural network model for estimating threshold level of the glucoses for patient by just reading the measurements.

Project3: [1999-2003] LPR (License Plate Recognition) Project – Supported by Aselsan Military Res./Dev.Co.,

[Budget: $3000]

Advisor: Prof.Dr.Turhan Tunali Project Res: Res.Ass.Muhammed Gokhan Cinsdikici

In this project, the triggered image (including car and environmental info) is taken as input data. Over this input, we are trying to extract plate-like regions (candidates). First, image is scaled by Kaiser filtering (Also simple interpolation methods are tried). Then vertical edge detection is done. Vertical edges give some clues about plate character density (Some other techniques like symbol searching, line projection tracking are also studied). After isolating all candidate regions (skewed/rotated), they are rotated automatically by Radon/Hough transformation. After rotation is corrected, we segment all candidates into small objects (character-like shapes) with our method of Bidirectional Vertical Thresholding (based on simple gradient direction). Number of objects defines the candidate as real plate. After all character objects are extracted, they are fed into recognition module. This module is composite module of feature extractor (principle component analysis unit) and recognizer (backpropagation neural network). After characters are recognized, the plate conversion is accomplished.

Project4: [2002-2004] GIS System for Ege University – Supported by Ege University

[Budget $25000, Project ID: 02-BTAM-001]

Advisor: Prof.Dr.Fikret IKIZ As Project Res: Res.Ass.Muhammed Gokhan Cinsdikici

This project is designed and implemented for developing GIS maps for Ege University infrastructure. In this work, I have studied on exporting network topology of the Ege University. The fiber optic cabling and Utp Cat5 cable topology for GIS system.

Project5: [2001-2003] E-Learning and ECDL Adaptation for Education in Ege University – Supported by Ege University

[Budget $25000, Project ID: 02-BTAM-001]

Advisor: Prof.Dr.Fikret IKIZ As Project Res: Res.Ass.Muhammed Gokhan Cinsdikici

This project is designed and implemented for developing GIS maps for Ege University infrastructure. In this work, I have studied on exporting network topology of the Ege University. The fiber optic cabling and Utp Cat5 cable topology for GIS system.

Project6: [1996-1997] Neural Network for Pattern Recognition – Supported by Ege University Engineering Department

[Budget $5000, Project ID: 94-MUH-003]

Advisor: Assoc.Prof.Dr.Yusuf Ozturk As Project Res: Res.Ass.Muhammed Gokhan Cinsdikici

Document analysis is the main subject of project. In the project, the text areas and image areas are tried to be differentiated. MAN and MAREN neural network models are studied in the project. The aim of these neural networks is to recognize characters. If the characters show a straight line and the lines are forming paragraph, then the area is marked as text area. If not, the area is marked as image area. Image segmentation and pattern recognition techniques are studied.

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My PhD/MSc Thesis

Posted by cinsdikici on December 3, 2011

PhD Disertation – 2004

19/04/04, PhD., “License Plate Recognition for Intelligent Transportation Systems”, Ege Unv., Int.l Computer Inst , Advisor: Prof.Dr.Turhan TUNALI

MSc Disertation – 1997

01/09/97, MSc., “Neural Network Solutions for ATM Routing & Multicasting Problems.”, Ege Unv., Computer Eng. Dep., Advisor: Prof.Dr.Emrah ORHUN

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CCNA Book

Posted by cinsdikici on December 3, 2011

Cinsdikici CCNA Book

Cinsdikici CCNA Book


Ceviri: Muhammed Cinsdikici, Ali Yavuz Çakır
Wendell Odom
SİSTEM YAYINCILIK

CCNA ICND Sınav Sertifikasyon Rehberi, türünün en başarılı sınav hazırlık rehberlerinden biridir. CCNA ICND sınavının konularını tüm detaylarıyla anlatmak için tümüyle yenilenip güncellenmiştir. Uzman eğitmen ve başarılı bir yazar olan Wendell Odom, sınava hazırlık ve test konularında verdiği ipuçlarıyla zayıf olduğunuz alanları keşfetmenizi sağlayarak hem teorik hem de pratik becerilerinizi geliştirmenizi sağlamaktadır. Bu yeni sürüm modüler bir biçimde organize edilip geniş bölümleri daha ufak ve rahat öğrenilebilir parçalara ayırmıştır. Materyaller kısa ve öz bir şekilde sunulmuş ve konuyu anlamanıza ve sınav konularını hatırlayabilmenize odaklanmıştır.
Aşağıdaki CCNA ICND sınav konularında ustalaşın:
• LAN Switching
• IP adresleme ve alt ağ oluşturma
• RIP, IGRP, EIGRP, OSPF ve statik yönlendirme
• VLSM desteği ve Yönlendirme Özetlemesi
• CIDR ve NAT
• Noktalar Arası Kiralık Hat Uygulaması
• ISDN ve Dial-on-Demand Yönlendirmesi (DDR)
• Frame Relay Yapılandırması
• IP Eri?im Denetim Listeleri Güvenliği
Yardımcı CD-ROM’da bulunan yeni test motoru ile tek bir konu üzerine odaklanabilir ya da zaman sınırlı INTRO ya da CCNA testlerini uygulayabilirsiniz. CD-ROM’un içinde çok sayıda uygulamalı alıştırma ve Boson NetSim’in CCNA ICND için hazırladığı Learning Edition ağ simülasyonu yazılımı bulunmaktadır. NetSim size gerçek aygıtlarla çalışmaya yakın bir deneyim yaşamanızı sağlayacak sanal bir laboratuar ortamı sağlayacaktır. Bu sayede kitabın içinde yer alan özel laboratuar alıştırmalarını uygulayabileceksiniz.
CCNA ICND Sınav Sertifikasyon Rehberi, Cisco Systems’in önerdiği yetkili Cisco Eğitim Ortaklarının hazırladığı simülasyon ve makine başı çalışmaları ile kurs kitapları ve Cisco Press’ten yayınlanan diğer kitaplarda yer alan çalışma kılavuzlarını içeren çalışma programının bir parçasıdır. SİTE:www.kitapyurdu.com

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SCI Papers

Posted by cinsdikici on December 3, 2011

SCI Papers

Dagdeviren Z.A., Aydin D., Cinsdikici M., 2017, “Two Population-based Optimization Algorithms for Minimum Weight Connected Dominating Set Problem”, Applied Soft Computing, vol:49, pp:644-658, DOI: https://doi.org/10.1016/j.asoc.2017.06.023

Oğuz K., Cinsdikici M., Gönül A.S., 2017,
“Robust Activation Detection Methods for Real-Time and Offline fMRI Analysis”, Computer Methods and Programs in Biomedicine, vol: 144, pp:1-11 DOI: http://dx.doi.org/10.1016/j.cmpb.2017.03.015,  WOS:000402214800002

Dagdeviren Z., Oğuz K., Cinsdikici, M., 2013, ‘Three techniques for automatic extraction of corpus callosum in structural midsagittal brain MR images: Valley Matching, Evolutionary Corpus Callosum Detection and Hybrid method’ – Engineering Applications of Artificial Intelligence [ISSN 0952-1976],   DOI: http://dx.doi.org/10.1016/j.engappai.2013.10.004

Meta, S., Cinsdikici, M., 2010, ‘Vehicle-Classification Algorithm Based on Component Analysis for Single-Loop Inductive Detector’ – IEEE Transactions on Vehicular Technology (ISI) , 2795-2805 pp., DOI: http://dx.doi.org/10.1109/TVT.2010.2049756

Cinsdikici M., Memis K., 2010, ‘Traffic Flow Condition Classification for Short Sections using Single Microwave Sensor’, – EURASIP Journal on Advances in Signal Processing (ISI) , 13 pp., DOI: http://dx.doi.org/10.1155/2010/148303

Ugur, A., Korukoglu, S., ?aliskan, A., Cinsdikici, M., Alp, A., 2009, ‘Genetic Algorithm Based Solution for TSP on Sphere’, Mathematical & Computational Applications, Vol:14, No:3, pp:219-228

Cinsdikici M., Dogan A., 2009, ‘Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm’, Computer Methods and Programs in Biomedicine, – vol:96 (2), pp:85-95, doi:http://dx.doi.org/10.1016/j.cmpb.2009.04.005

Cinsdikici, M., Ugur, A. and Tunali,T, 2007, ‘Automatic number plate information extraction and recognition for intelligent transportation system’, Imaging Science Journal The, Vol. 55, no.2, pp.102-113 – doi:http://dx.doi.org/10.1179/174313107X189212

Karlik B., Uzam M., Cinsdikici M. and Jones A.H., 2005, ‘Neurovision-based logic control of an experimental manufacturing plant using neural net le-net5 and automation Petri nets’ – ,Int. Journal of Manufacturing, Vol.16, Numbers 4-5, pp. 527 – 548, doi:http://dx.doi.org/10.1007/s10845-005-1662-5

Cinsdikici, M. and Tunali, T., 2003, ?License Plate Segmentation for Intelligent Transportation Systems?, Proceedings of the 18th International Symposium – on Computer and Information Sciences (ISCIS?04) , Lecture Notes in Computer Sciences, Springer-Verlag, Vol 2869, pp. 439-446. http://dx.doi.org/10.1007/978-3-540-39737-3_55

Other Journals

Kurt M., Cinsdikici M., “Representing BRDFs using SOMs and MANs”,ACM SIGGRAPH Computer Graphics, Volume 42 , Issue 3, id:2, 2008 ISSN:0097-8930

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