Bilgisayar ve Bilişim Bilimleri Fakültesi: Recent submissions

Now showing items 241-260 of 295

A novel chaos-based encryption algorithm over TCP data packet for secure communication

Çavuşoğlu, Ünal; Akgül, Akif; Sezgin Kacar; Pehlivan, İhsan; Zengin, Ahmet (WILEY-HINDAWI, 2016)

In this article, a new algorithm that can encrypt data on TCP data segment by using a novel chaotic random number generator was developed. First of all, dynamic analyses of the chaotic system to be used were made and the ...
A new method of automatic recognition for tuberculosis disease diagnosis using support vector machines.

Amani Yahiaoui; Er, Orhan; Yumuşak, Nejat (SCIENTIFIC PUBLISHERS INDIA, 2017)

Tuberculosis is an infectious disease caused by a bacillus called Mycobacterium tuberculosis. It can lead to death in untreated and inappropriately treated patients particularly in countries with low income. Therefore, ...
A real-time virtual sculpting application by using an optimized hash-based octree

Çit, Gülüzar; Ayar, Kayhan; Öz, Cemil (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

Creation durations of a traditional octree, a hash-based octree, and our optimized hash-based octree are compared. Tree traversal and surface reconstruction times of our optimized hash-based octree approach are also compared ...
Disaster-Aware Submarine Fiber-Optic Cable Deployment for Mesh Networks

Dikbıyık, Ferhat; Dikbıyık, Ferhat (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)

With the increasing social and economic reliance on the Internet and the significant monetary and non-monetary societal cost associated with service interruption, network survivability is an important element in telecommunication ...
A secure communication using cascade chaotic computing systems on clinical decision support

Köksal, Aydın Şeref; Evirgen, Hayrettin; Yumuşak, Nejat (WALTER DE GRUYTER GMBH, 2016)

Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, ...
System identification by using migrating birds optimization algorithm: a comparative performance analysis

Yumuşak, Nejat (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

System identification is an important process to investigate and understand the behavior of an unknown system. It aims to establish an interface between the real system and its mathematical representation. Conventional ...
Design and implementation of a new quality of service-aware cross-layer medium access protocol for wireless body area networks

Sevin, Abdullah; Bayılmış, Cüneyt; Ismail Kirbas (PERGAMON-ELSEVIER SCIENCE LTD, 2016)

Wireless body area networks (WBANs) consist of tiny sensors that enable monitoring the health status of a person. quality of service (QoS) is a major challenge for WBANs due to the importance of vital sign information. ...
Risk analysis of lung cancer and effects of stress level on cancer risk through neuro-fuzzy model

Atinc Yilmaz; Seckin Ari; Kocabıçak, Ümit (ELSEVIER IRELAND LTD, 2016)

A significant number of people pass away due to limited medical resources for the battle with cancer. Fatal cases can be reduced by using the computational techniques in the medical and health system. If the cancer is ...
Migraine, Tension-Type and Cluster-Type of Headaches Classification by Using Immunos Algorithms

Ufuk Çelik; Yurtay, Nilüfer; Emine Koç; Nermin Tepe; Halil Güloğlu; Mustafa Ertaş (AMER SCIENTIFIC PUBLISHERS, 2016)

Objective: To evaluate diagnosis accuracy of immunos algorithms for classification of migraine, tension-type and cluster-type of headaches by using our website based diagnosis survey expert system. Methods: The headache ...
How repeated data points affect bug prediction performance: A case study

Muhammed Maruf Ozturk; Zengin, Ahmet (ELSEVIER, 2016)

In defect prediction studies, open-source and real-world defect data sets are frequently used. The quality of these data sets is one of the main factors affecting the validity of defect prediction methods. One of the issues ...
An Elective Course Suggestion System Developed in Computer Engineering Department Using Fuzzy Logic

Adak, Muhammed Fatih; Yumuşak, Nejat; Taşkın, Harun (IEEE, 2016)

Besides required courses which are compulsory for each student to be taken, universities also offer elective courses chosen by the students themselves. In their undergraduate study, since students are not guided about the ...
Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey

Akpınar, Mustafa; Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2017)

The increase of energy consumption in the world is reflected in the consumption of natural gas. However, this increment requires additional investment. This effect leads imbalances in terms of demand forecasting, such as ...
Earthquake Preparedness Strategies for Telecom Backbone with Integration of Early Warning Systems and Optical WDM Networks (Invited Paper)

Dikbıyık, Ferhat; Küyük, Hüseyin Serdar (IEEE, 2016)

In this study, we explore three different strategies for such situation; 1) Extreme approach that reprovisions all connections in danger with full or degraded bandwidth, 2) relax approach that reprovisions only critical ...
International Conference on the Design of Reliable Communication Networks DRCN

Dikbıyık, Ferhat (IEEE, 2016)

Today's cloud system are composed of geographically distributed datacentcr interconnected by high-speed optical networks. Disaster failures can severely affect both the communication network as well as datacenters ...
LECTURE NOTES IN COMPUTER SCIENCE

Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)

In this study, the method to apply the Elman's recurrent neural networks for harmonic detection process in active filter is proposed. The feed forward neural networks were also used for comparison. We simulated the distorted ...
Year Ahead Demand Forecast of City Natural Gas Using Seasonal Time Series Methods

Akpınar, Mustafa; Yumuşak, Nejat (MDPI, 2016)

Consumption of natural gas, a major clean energy source, increases as energy demand increases. We studied specifically the Turkish natural gas market. Turkey's natural gas consumption increased as well in parallel with the ...
A novel defect prediction method for web pages using k-means plus

Muhammed Maruf Ozturk; Çavuşoğlu, Ünal; Zengin, Ahmet (PERGAMON-ELSEVIER SCIENCE LTD, 2015)

With the increase of the web software complexity, defect detection and prevention have become crucial processes in the software industry. Over the past decades, defect prediction research has reported encouraging results ...
A New State-Based Connectivity Model for Peer-to-Peer Networks

Arslan, Halil; Tüncel, Sinan (IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, 2016)

The usage of peer-to-peer (P2P) networks that provide sharing of real-time environmental data by internet users is becoming more and more popular. As a result, it's necessary to identify the problems during P2P communication ...
A Novel Chaotic System for Secure Communication Applications

Durdu, Ali; Özcerit, Ahmet Turan; Uyaroğlu, Yılmaz (KAUNAS UNIV TECHNOLOGY, 2015)

The secure communication using synchronization between identical chaotic systems have been introduced in literature for a long time. A well-known practical application of chaotic synchronized systems is the Pecora and ...
A real-time American Sign Language word recognition system based on neural networks and a probabilistic model

Neelesh Sarawate; Ming Chan Leu; Öz, Cemil (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2015)

The development of an American Sign Language (ASL) word recognition system based on neural networks and a probabilistic model is presented. We use a CyberGlove and a Flock of Birds motion tracker to extract the gesture ...