Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/15956

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2015 - 201820

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Department: search.filters.department.Çankaya Üniveristesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Anabilim Dalı

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Now showing 1 - 10 of 20
  • Master Thesis
    Indoor positioning using wireless access signals
    (Çankaya Üniversitesi, 2018) Altınbaş, Merve
    Indoor positioning is one of the most popular topics searched in recent years, but it is not a precise and clear solution. This thesis study discusses different solutions for indoor positioning in abstract form and compares various methods. From these comparisons, Wi-Fi access points (APs) were determined to be the best method for indoor positioning. In the first phase, assuming that the locations of the APs are unknown, measurements are made at several points and information is taken, such as Wi-Fi AP signal level and mac-id. All information is saved into the database. With this information, the coordinates of the Wi-Fi APs are found using MATLAB programming language. The second phase finds the location of the person indoors using these coordinates. The aim of thesis is to achieve a position coordinate accuracy between 0 and 5 meters.
  • Master Thesis
    A systematic review of gamification in the context of software development landscapes
    (Çankaya Üniversitesi, 2018) Olgun, Serhan
    The software development process is a complex activity that has interrelating steps to produce software products. Human related social factors such as user motivation, engagement, communication and collaboration issues affect the activities performed by software development organizations. In fact, software engineering researchers seek better ways to overcome the human related issues so as to improve the quality in software development. Consequently, research has been conducted to introduce new methodologies, techniques and concepts. As such, gamification has been introduced as a novel technique to enhance the software development process and ultimately resolve some of the identified obstacles that are related to human factors. However, there is a bias to adopt the gamification into the software development process because there are still insufficient evidences about its positive outcomes. In this study, a systematic literature review was rigorously conducted to investigate the application and to reveal the benefits of gamification in the software development landscapes. This study contributes to the area of software engineering research by proposing a classification approach to categorize gamification studies in software development landscapes. The results of this research suggest that there has been a significant increase in empirical and theoretical studies that were recently published and many positive steps being taken towards better integration of gamification in software development organizations.
  • Master Thesis
    Detection of brain tumor in magnetic resonance images
    (Çankaya Üniversitesi, 2018) Bufares, Anwar A.
    Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its main role in controlling most of the functions of the body makes detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from MRI images. In this thesis, a system is designed to detect the tumor in brain Magnetic Resonance Imaging (MRI) using a seed-based region growing algorithm (SBRG) in the segmentation process. Then after segmenting the region of interest (ROI) the texture features are extracted from the image and used to classify tumor and non-tumor tissues by the implementation of the Artificial Neural Network (ANN) classifier. The accuracy obtained by this system is 99.88%.
  • Master Thesis
    PAPR reduction of OFDM system symbole via optimal rotation of information symbols
    (Çankaya Üniversitesi, 2018) Jassim, Alaa Hussein
    Orthogonal frequency division multiplexing (OFDM) is an effective multicarrier transmission for wireless communication systems. The demand for high data rate for multimedia applications made OFDM widely used in wireless communication. The main drawback of OFDM communication systems is their high peak-to-average power ratios (PAPRs) which limit their use in practical applications. There are two well-known PAPR reduction techniques known in the literature, partial transmit sequence (PTS), and selective mapping which are closely related to each other. In this thesis work, we propose a new PAPR reduction approach. Our method is based on rotation of the information symbols before inverse fast Fourier transform (IFFT) operation. The selection of the information symbols is performed inspecting their combinations in OFDM symbols, and this is achieved detailing decimation in frequency IFFT algorithm, i.e., inspecting the combination of information symbols while performing decimation in frequency IFFT algorithm. The proposed reduction method has better performance than that of the PTS method, and has much less complexity when compared to that of the PTS technique.
  • Master Thesis
    The impact of cloud computing in delivering sustainable business welfare as a part of a green ict strategy in developing countries
    (Çankaya Üniversitesi, 2018) Salih, Bawar Hadi
    The research is intended to assess the role of cloud computing in delivering sustainable business welfare in the developing countries, specifically in Iraq. In order to collected pertinent information, the researcher had adopted quantitative research approach. In this account, primary data was collected by conducting a survey with 152 IT professionals, working in the Iraqi companies. However, secondary data was collected through pertinent literature, by accessing Google Scholar and EBSCOhost. The collected data was analysed by using descriptive analysis. The analysis has revealed that cloud computing has great significance in the implementation of green ICT strategy; however, Iraqi companies are needed to put more focus on the improvement of their employee's skills and expertise so as to accelerate cloud adoption in Iraq
  • Master Thesis
    Developing a free DLP system for email data leakage
    (Çankaya Üniversitesi, 2017) Yılmaz, Koray
    Data leakage (or data loss) is a term used in the information security field to describe unwanted disclosures of information. According to DataLossDB site data breaches (leakages) in 2015 are increased dramatically. According to Risk Based Security 2016 Data Breach Report analysis, while the percentage of total breaches impact 89.5% electronic data, it is 99.6% in 2016. In this thesis, a lite e-mail data leakage prevention (DLP) solution using open source projects for e-mail data leakage has been proposed. A dirty filter script running on top of the EmailRelay server is developed and the system is tested under different loads. Different parsing architectures are tried and searched for the most efficient one. Also the proposed solution is compared with another known solution. For this purpose the community version of MyDLP server is evaluated. The outgoing e-mail with binary attachment content is analysed with Apache TIKA framework. The e-mail content which is converted to textual data, is searched for data leakage patterns using regular expressions. In most of the studies the scanned image documents are not analysed for leakage. In this study open source tools are used to convert the scanned image document to textual data; because most of the documents in the Internet are scanned confidential documents. Finally, the leaked e-mail is indexed with Elasticsearch for further contextual analysis.
  • Master Thesis
    Suspicious human activity detection from surveillance videos
    (Çankaya Üniversitesi, 2017) Salem, Fathia G. Ibrahim
    Video surveillance has been used from a long time to provide security in many sensitive places, so with this great progress in various aspects of life the traditional surveillance operations are facing many problems because of the large amounts of information that must be handled manually in a limited time also the possibility of information loss which can contain important things such as suspicious behaviours. So recently, a large amount of research has been conducted on video surveillance. In this thesisthesis, we will present a system to support the smart surveillance for detecting abnormal behaviours that represent security risk. The proposed algorithms are intended to detect two cases of human activities namely, walking and running. We impose no restriction on the number of people in the scene, and the direction of the motions. However, we restrict the videos to indoor colour videos, where the video are captured by one stationary camera. The moving objects which correspond to people in the scene are detected by background subtraction algorithm. We consider the displacement rate of the centroids of the segmented foreground areas and the rate of change in the size of the segmented areas as the two main features for activity classification. The proposed algorithms determine the activity type with a high accuracy rate.
  • Master Thesis
    SDN improvements and solutions for traditional networks
    (Çankaya Üniversitesi, 2017) Yahya, Mohammed Amer Yahya
    The new trend of the internet has led to building a digital world, where everything is connected and from any place can be accessible. Nevertheless, the management of conventional networks is complicated and difficult. Because of its static characteristics, it is hard to configure and the reconfiguration causes errors, unwanted changes, and extra load. Another reason which makes the matters harder is that the traditional networks are also perpendicularly integrated which means the control and the data planes are embedded in the same device. Software defined networking (SDN) is a new trend of networking which guarantees to alter the behavior of the current network through decoupling the control plane from the data plane and gives the networks centralized management, and offers the capability to program the network. SDN makes it simpler to produce and present new concepts in networking, simplifies network control, and facilitates network development. In this thesis, we introduce the SDN improvements and solutions for traditional networks, and explain the current networks technologies and their features. Subsequently, we present the limitations of the current networks in managements, routing, devices dependency, capital and operational cost, and rigidness and complexity. We also give the proposed solutions from SDN to these limitations, cloud computing, and heterogeneous networks. We also look at SDN applications in network routing, security and access control, Internet research, mobile device offloading, and wireless virtual machines. In addition, we introduce one of the newest trends of SDN regarding traffic engineering which is Intent-based networking. Finally, we demonstrate through simulations the benefits which are provided by SDN to traditional networks. We select a single IP layer and a multilayer optical network (MPLS over DWDM) to demonstrate the advantages of SDN managements. We deployed an SDN controller that can illustrate how the test environment configuration is carried out and how beneficial it can be. The SDN controller used was the ONOS controller.
  • Master Thesis
    Automatic scoring approach for Arabic short answers essay questions
    (Çankaya Üniversitesi, 2017) Alfalahi, Mohammed Abdulmunem Nsaif
    There are different types of questions produced by the students in their exams, such as multiple-choice questions, true/false questions, and essay questions which require free text answers. Evaluation and scoring these types of exams traditionally are an exhausting process that takes from the instructors a lot of efforts, time and activities. In this regard, applying automated approaches to evaluate and score exams are essentially required to reduce time and efforts. Although there are many commercial tools for scoring multiple-choice and true/false questions, yet there is lack of approaches and tools for evaluating and scoring essay questions, especially for the Arabic language. In this research, the aim is to propose an automated scoring approach for short answers to Arabic essay questions. The scoring process is based on the similarity between the student's answer and model answer which is provided by the instructor. Cosine similarity measures will be used for this purpose. Cosine similarity is a heuristic evolutionary measure that has succeeded to solve text to text similarity problems. In this research, we will use the word root for each keyword in the student's answer and the model answer in order to achieve accurate results. The proposed approach will be tested on a data set proposed and will be compared to other approaches.
  • Master Thesis
    Identifying the factors influencing truancy and using data mining for prediction
    (Çankaya Üniversitesi, 2017) Albayati, Hayder Abulabbas Waheed
    Truancy from school is a problem in most societies, including developed societies. This research presents the process of discovering the underlying patterns behind truancy through the use of informed discussions and data mining techniques. The main objective of the study is to identify pupils at risk of truancy, before it occurs. Several models were built using different; classification algorithms. K=1-nearest neighbour showed the highest accuracy across all algorithms. The research also showed the importance of the new factor, security situation in identifying pupils at risk of truancy.