EE407/408 Dersleri Bitirme Projesi Başlıkları

Bölümümüz son sınıf öğrencilerinin EE407 "Innovative Engineering Analysis and Design" ve EE408 "Innovative Engineering Design and Implementation" dersleri kapsamında tasarım ve üretimini sağlayacakları bitirme projeleri için 2018/2019 eğitim ve öğretim yılı proje başlıkları belli olmuştur. 

EE407 dersine kaydolan öğrencilerin

  • 2, 3 ya da 4 kişilik gruplar oluşturmaları ve gruplarına bir isim vermeleri,
  • aşağıda listelenmiş projelerden tercih ettikleri 3 tanesini tercih sıralarını belirterek seçmeleri,
  • bu sıralı tercihleri, gruplarındaki öğrencilerin isimlerini/numaralarını ve grup isimlerini içeren bir elektronik postayı proje dersi koordinatör görevlisi Ahmad Slamanogli'ne (Bu e-Posta adresi istenmeyen posta engelleyicileri tarafından korunuyor. Görüntülemek için JavaScript etkinleştirilmelidir.) e-posta yoluyla 30 Eylül tarihine kadar göndermeleri,

gerekmektedir. Hangi projenin hangi gruba verileceği Eylül ayı içerisinde belli olacak ve bu sayfada duyurulacaktır.

Öğrenci grupları, aşağıda açıklanan projelerden bir tanesini seçmek yerine kendi belirledikleri bir proje konusu ile proje dersi koordinatör Dr. Öğr. Üyesi Tolga İnan'a başvurabilirler. Bu grupların önerdikleri proje konusunun uygunluğu koordinatör öğretim üyesi tarafından değerlendirilir.

Öğrenciler kayıtlar sırasında EE407 dersi için herhangi bir gruba kaydolabilirler.


Project 1: Optical Wireless Communications Link Design
Supervisor: Prof. Dr. Yahya K. Baykal

Nazlı Yanık
Emiş Tutku Kıraç
Şükrüye Ebru Çıplak 
Pakize Büşra Yüksel 
 
An optical communication transmitter and receiver will be designed which in turn will compose an optical wireless communication link that will operate in free space or in underwater medium. General considerations in the link budget analysis will be performed. Advantages of the design will be explained and alternative solutions will be reported.

Project 2: Assembling the In vivo Imaging System Electro-Mechanical unit and Designing Interface Protocol in MATLAB 
Supervisor: Prof. Dr. H. Selçuk Geçim

OptoTech:
Ezel Yalçınkaya
Metin Eroğlu 
Sanem Meral

In this project, the main aim is to assemble the in vivo imaging system electro-mechanical part. This unit will be completely controlled by the MATLAB software. In fact, via the designed interface protocol in MATLAB, one can control the mechanical part position and its speed. Generally, we want to improve the recent in vivo imaging system performance to act automatically, and more importantly enhance its mechanical, electrical, and optical features. 

 

Project 3 & 4: Power Electronics Based Microgrid
Supervisor: Prof. Dr. İres İskender

Project 3
SANKAB:
Ali Kaplan
Sami Enes Ünver
Ali Mert Efe
Serdar Emre Bayraktar
 
Project 4
Power Girls:

Hacer Büşra Keleş
Sevim Eda Bozan
Burcak Melis Buluç

The project is a microgrid system. Two groups of students are considered to work on this project. The student number of each group is three. Below, there is a simple figure and table explaning the structure and context of the projects.


Project 5: Tomographic Motion Detection
Supervisor: Dr. Göker Şener

HighTech:
Nuri Baran Ayana
Almıla Beyza İkizoğlu
Onur Öztürk        
Kadir Demirbaş   
 
This project aims to design and implement an electronic communication  system such that it can detect objects in motion in a 2D area with the ability to be completely hidden from view because it is not a line of sight technology. It works by surrounding an area with the nodes that communicate with each other via radio waves creating a mesh network. It  relies on phase disturbances of the mesh network (Doppler radar) to detect movements within the area.

Project 6: Design of a packet switched network with improved throughput performance.
Supervisor: Dr. H. Barbaros Preveze

Soon:
Merve Irmak Çotuk
Merve Ceren Atıcı
Hande Savaşçı
Özlem Erdem

In this project a packet switched network will be simulated  in details using MATLAB. Then, the generated simulation results for  different QoS parameters will be compared with the results in the  literature for comfitmation. Finally, some part(s) of the used protocol  will be modified to improve the current QoS performance of the system.

Project 7: Under-Vehicle Imaging ve Unexpected Object Detection System
Supervisor: Dr. Erdem Akagündüz

AC/DC:
Abdullah Muhammed Ünal
Berkay Dalarslan
Mehmet Göktuğ Gönen
Melis Çıkış

In this project, the student group will develop a real time image stitching and under-vehicle unexpected object detection system for Optima Engineering's optical systems. The hardware of the under-vehicle imaging system is to be provided by Optima Engineering Inc.  The student group is to:
  • create an under-vehicle unexpected objects database
  • construct image stitching algorithms,
  • design algorithms for automatic unexpected object detection
  • and utilize these algorithms in real-time software
This project is part of a TUBITAK 1507 project carried out in partnership with Çankaya University Technology Transfer Office. Developed algorithms will be integrated to Optima Engineering Inc. products.

Proje 8: Plate and Driver Face Recognition system
Supervisor: Dr. Erdem Akagündüz

En Masse:
Engin Uzun
Begüm Ergün
Rüya Beren Köylü
Berk Can Bayram

In this project, the student group will develop a real time plate and driver face recognition system for  Optima Engineering's optical systems. The hardware of the under-vehicle imaging system is to be provided by Optima Engineering Inc. The student group is to
  • create an plate and driver face database,
  • design atuomatic recognition algorithms,
  • and utilize these algorithms in real-time software
This project is part of a TUBITAK 1507 project carried out in partnership with Çankaya University Technology Transfer Office. Developed algorithms will be integrated to Optima Engineering Inc. products.

Project 9: Portable Electronic Musical Instrument Tuning and Song Key Finding System 
Supervisor: Dr. Erdem Akagündüz
 
Bitiremeyenler:
Altuğcan Oktay
Barış  Yılmaz
Elifnur Çintan
Sinem Erdoğan
 
In this project, the student group will develop a portable, battery-powered musical instrument tuning system that has a visual interface. The student group is to 
  • design a system that will receive and process the audio signal
  • provide a visual interface for instrument tuning
  • provide a visual interface for song key retreival
  • construct an embedded system for this purpose.

Proje 10: Fingerrpint Spoofing Detection System
SupervisorDr. Tolga İnan 

Desing Group:
Onur Kaan Bitiş
Seval Kahraman
Ömer Cihat Fiyci
Salih Güvenir

In this project, the student group will develop a system that can detect fake fingerprints. This system will basically consist of a two-class classifier that can detect spoof/fake fingerprints and real fingerprints. The algorithm to be designed will be tested on a public database containing fake and real fingerprints and the spoof detection algorithm performance on the database will be reported.

Proje 11: Keystroke Dynamics Based Biometric Recognition System
SupervisorDr. Tolga İnan

BAYA Electronics:
Atanur Açıkel
İsmail Asilkan Var
M.Yaşar Yıldırım
Batuhan Yaşar


In this project, the student group will develop a system that performs biometric recognition based on keystroke dynamics. The keystroke dynamics are defined as the key usage habits and keystroke timings. Behavioral biometric recognition can be performed using the keystroke dynamics. The algorithm to be designed will be tested on public keystroke dynamics databases and its performance will be reported.


Proje 12: Finding Location and Orientation of 3D Face Data
SupervisorDr. Tolga İnan

HAGI:
Ahmet Ertürk     
Gizem Can         
İpek Taşkın       
Fatma Handan Özer

In this project, an algorithm will be developed to find the position and orientation of face data given as a 3D point cloud. Problems such as noise, missing data, closure (hand, glasses, etc.) in 3D face point clouds will also be taken into consideration.The algorithm to be designed will be tested on open public 3D face databases and its performance will be reported.


Proje 13: Pain Intensity Estimation
SupervisorDr. Tolga İnan

EK-ES:
Sumeyra Koç
Eylül Yaren Dalan
Engin Düzgün
Abdülkadir İlhan

In this project, the student group will develop a system that can estimate the pain intensity of the patient using facial features. The student group is supposed to:
  • Develop an algorithm for automatic pain estimation from facial features.
  • Test their algorithm on publicly available pain database.

Project 14: An Intelligent Baby Toy
Supervisor: Dr. Erdem Akagündüz
 
BT Project:
Abdulkerim Taha Okay
Başak Yılmaz
Mert Kuşçu
Nur İpek Koçer

In this project, the student group will develop an intelligent and interactive (1-3 yo) baby toy, which

  • will include at least two inputs/sensor (e.g. microphone, camera, thermal sensor, etc)
  • will include at least two kinds of output (e.g. vocal and visual)
  • will be a battery powered standalone embedded system
  • will entertain a baby.

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