Gürel, Cahit

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Profile URL
https://hdl.handle.net/20.500.14411/7823
Name Variants
C., Gurel
G., Cahit
Gürel, Cahit
Gürel,C.
C.,Gürel
Gurel,C.
Cahit, Gürel
C.,Gurel
G.,Cahit
Cahit, Gurel
Gurel, Cahit
Job Title
Öğretim Görevlisi
Email Address
cahit.gurel@atilim.edu.tr
Main Affiliation
Department of Mechatronics Engineering
Status
Former Staff
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Scholarly Output

6

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0

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26/193

Supervised MSc Theses

1

Supervised PhD Theses

1

WoS Citation Count

0

Scopus Citation Count

4

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0

WoS Citations per Publication

0.00

Scopus Citations per Publication

0.67

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0

Supervised Theses

2

JournalCount
20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20 September 2013 through 20 September 2013 -- Ankara -- 1022763
21st Mechatronics and Machine Vision in Practice, M2VIP 2015 -- 21st Mechatronics and Machine Vision in Practice, M2VIP 2015 -- 7 July 2015 through 9 July 2015 -- Manila -- 1194561
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Now showing 1 - 6 of 6
  • Thumbnail Image
    Conference Object
    A Mechatronic Load Testing Equipment
    (2013) Yildiran,H.O.; Gürel,C.
    In a Project given to 2nd year students in Engineering Mechanics I (Statics) course the students are required to make calculations and prototype of a spring link- rigid body link weight carrying body with concurrent forces in 2D. Unfortunately the student had problems in visualization of the problem and also the solution. In this paper a prototype is shown (manufactured) which have an output of the results so as to use these results in checking calculation and visualization of the system in a lab environment study. Results are given to the students as: Theoretical, mechanical, through potentiometric device readings and by image processing. By this test apparatus, students change connection points and the weights and make the calculations to find forces in elements, displacement of spring and the angles that links make with horizontal. They see the results as; change in length of spring, the forces in each member visually on LCD (PC) and compare their results. The main object of this equipment, is to make Mechatronics Engineering students understand the problem better, check their results, meet with future mechatronic devices they will see in their following semesters and have an understanding of what mechatronic systems are.
  • Thumbnail Image
    Doctoral Thesis
    Kameralarin Özdevimli Kalibrasyonu için Yeni Bir Yaklaşim
    (2019) Gürel, Cahit; Tora, Hakan; Güneş, Ahmet
    Kamera, robotik uygulamalardaki en önemli sensörlerden birisidir. Kalibre edilmiş bir kamera, kalibre edilmemişine göre daha fazla bilgi sunabilir. Ayrıca, kalibre edilmiş kameranın kalibrasyon değerleri mekanik ve termal değişikler nedeni ile zamanla bozulabilir. Dolayısıyla mobil robotik platformalar için özdevimli kamera kalibrasyonu ihtiyaç oluşturmaktadır. Özdevimli kamera kalibrasyonu için ölçüleri bilinen bir objeye ihtiyaç duyulmaması nedeni ile hem daha esnektir hem de görüntü üzerindeki az sayıda nokta eşleştirmesi kalibrasyon hessaplamaları için yeterlidir. Bu kapsamda, kameranın pozisyonu ve yönelim açısı bilgilerini katarak daha basit ve daha yüksek doğruluk değerine sahip yeni bir kalibrasyon metodu öneriyoruz. Önerilen metot sentetik veriler üzerinde, simülasyon ortamında ve gerçek bir donanım üzerinde test edilmiştir. Sonuçlar diğer özdevimli kamera kalibrasyonu metoduyla karşılaştırılmıştır. Düzlemsel hareket eden kameralar için sonuçlarımız diğer özdevimli kamera kalibrasyonu uygulamaları karşısında etkili olduğunu göstermektedir.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 4
    Conceptual Design of a Rose Harvesting Robot for Greenhouses
    (2013) Gürel,C.; Erden,A.
    Agricultural applications has made over thousands years, and the entire processes dependent to people. The dependency increases the labor time of the process and as well as cost of the products. To overcome this problem, the automated systems on the agricultural processes are needed in the place of humans. Many implementations are made on the harvesting processes in different products, i.e., rose, apple, cherry, strawberry, etc. which shows the importance of automation in the harvesting. The company needs a system that makes harvesting of the roses instead of human in greenhouse. Conceptual design of rose harvesting robot is given in this paper which is covers need, intended users, functions and top level intelligence algorithm.
  • Thumbnail Image
    Conference Object
    Face Detection Algorithm With Facial Feature Extraction for Face Recognition System
    (Mechatronics and Machine Vision in Practice, 2013) Gürel,C.; Erden,A.
    A face recognition system is one of the biometric information processes, its applicability is easier and working range is wider than other systems like; fingerprint, iris scanning, signature, etc. The detection methods are designed to extract features of face region out of a digital image. The output face image of the detection algorithm should be similar to the recognition input image. Face detection is performed on live acquired images without any application field in mind. The developed system uses white balance correction, skin like region segmentation, facial feature extraction and face image extraction on a face candidate. System is also capable of detecting multiple faces in live acquired images.
  • Thumbnail Image
    Conference Object
    Rose Stem Branch Point Detection and Cutting Point Location for Rose Harvesting Robot
    (Mechatronics and Machine Vision in Practice, 2015) Gürel,C.; Hassan,M.; Zadeh,G.; Erden,A.
    The primary objective of the study is to develop a method that can locate the proper location of cutting point of rose stem for robotic rose harvesting. Stem tracking and cutting operation are achieved using with the help of stereo vision techniques. The cutting point has a vital importance for cut rose harvesting in greenhouse which affects the efficiency of new shoot from the cut stem. In agricultural process, the cutting point depends on thickness of stem and eye on stem. Locating the eye is difficult by image processing thus another relation for cut point estimation was performed. The relation between thickness and cut length can lead to relation for cut point estimation. 239 data is collected from a greenhouse and linear relation with some deviation was acquired. To perform this relation, branch point location algorithm was developed. The proposed algorithm has three steps: branch point detection; thickness calculation; and cutting length estimation. The algorithm for branch detection performs quite well to detect and locate the position of the point when there occur no overlapping. The results of branch point detection are adequate for implementing to the robot. © 2015, Mechatronics and Machine Vision in Practice. All rights reserved.
  • Thumbnail Image
    Master Thesis
    Bir Yüz Tanıma Sisteminin Geliştirilmesi
    (2011) Gürel, Cahit; Erden, Abdulkadir
    Son bir kaç on yıl içerisinde yüz tanıma sistemlerinin önemi artmıştır. Yüz tanımasistemi biyometrik bilgi işleme sistemlerinden biri olup uygulanabilirliği daha kolayve çalışma alanı diğer biometrik bilgi işlemeye göre daha geniştir. Parmak izi, retinataraması, imza ve benzeri bilgiler biometrik bilgiye örnektir. Bu tez çalışmasında biryüz tanıma sistemi tasarlanmış, uygulamış ve test edilmiştir. Sistem yüz bulma vetanıma konularının birleşiminden oluşmuştur. Yüz bulma operasyonu daha öncedenbelirlenmemiş ve canlı olarak çekilmiş görüntülerden yapılmaktadır. Sisteminçalışma aşamaları beyaz dengesini düzenlemek, ten rengi bölgelerin segmentasyonu,yüz adayından yüz özelliklerinin çıkarılması ve yüz görüntüsünün elde edilmesidir.Devamında da İleri Beslemeli Sinir Ağının sisteme entegre edilmesi ile yüzgörüntülerinin sınıflandırılması yapılmıştır. Sistem, laboratuvar ortamında yapılan 26kişilik veritabanı ile test edilmiştir. Belirlenmiş sınırlar çerçevesinde test edilmiş vekabuledilebilir performansta yüzleri tanımıştır. Sistem aynı zamanda yakalanan canlıgörüntüdeki birden fazla yüzü bulabilir ve tanıyabilir.