Theses supervised by Yrd. Doç. Dr. Reza Hassanpour

11 theses · Çankaya University

Master'sOpen AccessEN

Wireless network security

ABSTRACTWireless Network securityKahraman, AliWireless Local Area Network, the most famous Wireless technologieshave become increasingly popular in recent decade and has importantrole in our daily life and business. Wireless communications offer usersand organizations many benefits like flexibility and portability,increased productivity and lower installation cost. But because oftransmission media and weaknesses in wireless protocols there are manysecurity risks and threat. Some of these risks are like wired networkssome are exacerbated by wireless connectivity.The architecture of a network defines the protocols and componentsnecessary to satisfy application requirements. Like wired network theseven-layer Open System Interconnect (OSI) is the model forrepresenting the various standards and interoperability of a wirelessnetwork.The main goal of this thesis is to consider WLAN security and differenttype of WLAN security protocols produced for deploying in differentlayers and their weaknesses against security threats.

Ali Kahraman
Çankaya University · Institute of Graduate Studies in Science
2006
00
Master'sOpen AccessEN

IP traffic modeling

RSVP allows Internet real-time applications to request a specific end-to-end QoS for data stream before they start transmitting data. In this report firstly an overview of RSVP is presented. After that the different quality of services available and the relation between QoS and RSVP are explained. Then the fundamentals of RSVP as a protocol are discussed. The performance issues and benchmarking are given next. The experimental results and discussions conclude this thesis.

Sibel Tarıyan
Çankaya University · Institute of Graduate Studies in Science
2007
00
Master'sOpen AccessEN

Platform independent database management

ABSTRACTPLATFORM INDEPENDENT DATABASE MANAGEMENTKabarcık, AhmetFunctional dependencies of attributes for normalization and the most suitableprimary key of the table must be defined to get the best design decisions for thedatabases, which have randomly inserted values.This study investigates some probabilistic models over average case complexityfor random databases formed by independent random tuples with a common discretedistribution. Mathematical values are tried to find for functional dependency. Thisstudy aims to help the designer to find the most suitable minimal key and to givean idea whether normalization is needed by detecting functional dependencies of theattributes of tables automatically.

Ahmet Kabarcık
Çankaya University · Institute of Graduate Studies in Science
2006
00
Master'sOpen AccessEN

Network üzerinden kesintisiz video iletimi

Traditionally different types of traffic are not distinguished. Traffic suffers from increasing delay, packet loss and variable delay. In order to deal with these issues QoS (Quality of Service) schemes have been proposed. The primary goal is to provide a testbed and platform for investigating characteristics of real time internet traffic on heterogeneous networks. QoS techniques for transmission of real time video may be based on DiffServ (Differentiated Service) architecture. In the QoS testbed, this is implemented using an efficient bandwidth agent to allocate bandwidth, a Hiererchical Token Bucket queuing scheme at the output interface of routers, and a policing mechanism at the incoming of the edge switch. The characteristic of real time video traffic using MPEG-4 streaming and Telepresence devices are studied to that we will have a good idea what bandwidth and burst size is required to stream MPEG4 video through the QoS Diffserv domain. We use the testbed to investigate how real time streams behave in QoS scheme and provide a realistic recommendation to manage the available bandwidth for both the Q0S provider and clients. Test were conducted with Telepresence. From this test we observe that telepresence streaming require a certain size of burst to properly be transmitted.

Serdar Yurt
Çankaya University · Institute of Graduate Studies in Science
2012
00
Master'sOpen AccessEN

3D hand reconstruction with binocular view

In the field of Human Computer Interaction (HCI) one of the important goals is designing better interfaces for improving interactions between human beings and computers. There are lots of approaches to address this problem. One of these approaches is interfacing using human hand gestures. The capturing and modeling of the gestures and articulations of the human hand is a challenging problem. There exist hardware and software solutions proposed to solve this problem. In this thesis, an inexpensive fast and effective method to stereo capture and create 3D hand model is proposed.The setup used for this thesis is; five different color markers and commodity hardware consists of two web cameras and a low cost laptop computer. In this thesis, starting with the stereo calibration of the cameras, capturing and tracking the color markers attached to the finger tips, leading 2D points of the finger tips, converting the 2D points to 3D points and calculating the finger articulations according to these 3D points and modeling the 3D hand have been accomplished, so the user can see his/her own hand?s articulation on the screen as a 3D hand model.

Ali Can Mogol
Çankaya University · Institute of Graduate Studies in Science
2011
00
Master'sOpen AccessEN

Following a moving object in a bounded area

The aim of this thesis is to improve the usage of a device called teleprompter which is used worldwide for all kinds of presentations. Our purpose is to give a free motion capability to the presenter who uses the teleprompter. Current usage of this device restricts the motion capability of the presenters. The fundamental approach is to detect the presenter?s location and turning the screen of the prompter to the presenter.We use a camera to capture the motion of the presenter. Then we analyze these images captured by the camera and we detect the exact point of the presenter on the area where s/he realizes her/his speech. After we detect the exact point of the presenter, we establish a connection between the presenter and the teleprompter. Then, we turn the teleprompter?s screen to the presenter. So the presenter could easily see and read the article displayed over the teleprompter?s screen.The software we developed has two main modules. First module analyzes the presenter?s motion and it calculates the angle between the exact point of the teleprompter and the exact point of the presenter. Then it sends this angle?s information to the second module which simulates the teleprompter?s behavior.

Hasan Emre Akkuş
Çankaya University · Institute of Graduate Studies in Science
2009
00
Master'sOpen AccessEN

Hand gesture recognition

Evolution of user interfaces shapes the change in the human-computer interaction devices. As three-dimensional (3-D) applications take place, the need for a new type of interaction device arises since traditional devices such as mouse, keyboard, joystick, etc? become inefficient for interaction within these virtual environments. A better interaction in virtual environments requires a natural and suitable device. ?Hand Gesture? concept in human computer interaction which has become popular in recent years can be used to develop such an interaction device. The motivation for this study is to develop a real-time, low cost, vision based hand gesture recognition system that works precisely on a relatively small restricted gesture space for single user robot control and human-computer interaction. Keywords: Hand Gesture, Gesture Recognition

Ahmet Birdal
Çankaya University · Institute of Graduate Studies in Science
2007
00
Master'sOpen AccessEN

PCA based face recognition: An application

Face recognition is one of the most important problems of the computer based systems. In literature, there are several methods used for face recognition such as holistic, local or hybrid methods. On the other hand, recent researches revealed that The Principle Component Analysis (PCA) is a useful method to solve image recognition and compression. Thus, it is possible to realize face recognition by using PCA method. In this study, a PCA based face recognition system was developed and suggested to use for different aims. In order to evaluate and apply face recognition, PCA analysis was used, and an algorithm has been developed in the research. Results were tested, and suggestions for further analysis have been given.

Özcan Tilki
Çankaya University · Institute of Graduate Studies in Science
2014
00
Master'sOpen AccessEN

Touch screen in restaurant

The growth of wireless technology and tablet PC in this era is creating a great impact on our lives. Some early efforts have been made to combine and utilize both of these technologies in advancement of hospitality industry. Nowadays, the majority of restaurants are still operating in an old fashioned way, by using pen and paper to register the orders of customers. The problem using

Alı Adıl Alı
Çankaya University · Institute of Graduate Studies in Science
2013
00
Master'sOpen AccessEN

Finding the ethnical identity of human face

In this thesis, how to find a human being?s ethnical identity from his/her face is analyzed. Parts of the face like eyes, nose, mouth, skin colour are used for defining the face. In addition to this, some programs like C# and Luxand are also used in correctly defining and calculating the facial parts. This calculation is very important and necessary in fractionating the human face and finding the dimensions of members of the face, because it gives the main idea about the shape, length and colour of face. The most important issues in determining and finding the ethnical identity of human face are shape, length and skin colour of the face. After finding these items the ethnical identity of a human can easily be found. The evidence found after working in this thesis is shown that the thesis has reached its aim willingly.

Merve Yenice
Çankaya University · Institute of Graduate Studies in Science
2012
00
Master'sOpen AccessEN

Image based barcode reader

The purpose of this study is to generate a system capable of barcode recognition from digital images and decoding the information stored on them. This project is only capable of decoding code 39 barcode type and deals with images with high resolution. There are three main steps in this study: preprocessing the image, detecting the barcode and decode the information stored on them. Preprocessing include several filtering steps to generate a smoother version of the image. Hough transform is mainly used in locating the barcode depending on theta and rho values and after finding the right threshold value the barcode will be detected. Decoding step is implemented by separating bars from spaces and converting each pixel?s binary value into it?s corresponding ASCII code. Then the information stored on barcode will be printed.

Thuraya S. Fawzi
Çankaya University · Institute of Graduate Studies in Science
2012
00

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