Bilgisayar ve Bilişim Bilimleri Fakültesi: Recent submissions

Now showing items 201-220 of 295

S-Box Based Image Encryption Application Using a Chaotic System without Equilibrium

Xiong Wang; Çavuşoğlu, Ünal; Sezgin Kacar; Akgül, Akif (MDPI, 2019)

Chaotic systems without equilibrium are of interest because they are the systems with hidden attractors. A nonequilibrium system with chaos is introduced in this work. Chaotic behavior of the system is verified by phase ...
A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application

Xiong Wang; Akif; Çavuşoğlu, Ünal (MDPI, 2018)

Systems with many equilibrium points have attracted considerable interest recently. A chaotic system with a line equilibrium has been studied in this work. The system has infinite equilibria and exhibits coexisting chaotic ...
Artificial immune system based wastewater parameter estimation

Cengiz Sertkaya; Yurtay, Nilüfer (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2018)

The basis of a wastewater treatment system is to achieve the desired characteristics of the wastewater treatment process. An estimation of the obtained wastewater treatment characteristics provides the information needed ...
A novel hybrid encryption algorithm based on chaos and S-AES algorithm

Çavuşoğlu, Ünal; Sezgin Kacar; Zengin, Ahmet; Ihsan Pehlivan (SPRINGER, 2018)

In this study, a novel chaos-based hybrid encryption algorithm design for secure and effective image encryption is presented. To design the algorithm, the Zhongtang chaotic system has been selected because of its rich ...
A software tool development study for solar energy potential analysis

Kaynak, Sümeyye; Kaynak, Baran; Özmen, Ahmet (ELSEVIER SCIENCE SA, 2018)

Analysis of solar radiation on buildings at the urban or individual scale has an important share in the formation of a sustainable environment. The accuracy of solar radiation analysis in buildings depends on the holistic ...
A new 4-D chaotic hyperjerk system, its synchronization, circuit design and applications in RNG, image encryption and chaos-based steganography

S. Vaidyanathan; Akgül, Akif; Kaçar, Sezgin; Çavuşoğlu, Ünal (SPRINGER HEIDELBERG, 2018)

Hyperjerk systems have received significant interest in the literature because of their simple structure and complex dynamical properties. This work presents a new chaotic hyperjerk system having two exponential nonlinearities. ...
iFER: facial expression recognition using automatically selected geometric eye and eyebrow features

Öztel, İsmail; Yolcu Öztel, Gözde; Öz, Cemil; Kazan, Serap; Filiz Bunyak (IS&T & SPIE, 2018)

Facial expressions have an important role in interpersonal communications and estimation of emotional states or intentions. Automatic recognition of facial expressions has led to many practical applications and became one ...
New class of chaotic systems with equilibrium points like a three-leaved clover

Saleh Mobayen; Christos K. Volos; Kaçar, Sezgin; Çavuşoğlu, Ünal (SPRINGER, 2018)

This paper presents a new class of chaotic systems with infinite number of equilibrium points like a three-leaved clover. They signify an exciting class of dynamical systems which represent many major characteristics of ...
urgMAC: A New Traffic and QoS-aware Cross-Layer MAC protocol for Wireless Multimedia Sensor Networks

Yunus Ozen; Bayılmış, Cüneyt (OXFORD UNIV PRESS, 2018)

Wireless Multimedia Sensor Networks (WMSNs) transmit heterogeneous data having different quality of service and urgency constraints. WMSNs focus on offering QoS for multimedia transmission while Wireless Sensor Networks ...
Prediction of Protein Secondary Structure With Clonal Selection Algorithm and Multilayer Perceptron

Çarklı Yavuz, Burcu; Yurtay, Nilüfer; Özkan, Özhan (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)

The recent studies indicate that the protein secondary structure provides very important advantages in determining the function of a protein, treating numerous diseases and drug design. Determining the secondary structure ...
Analytical durability modeling and evaluation - complementary techniques for physical testing of automotive components

Fırat, Mehmet; Kocabıçak, Ümit (PERGAMON-ELSEVIER SCIENCE LTD, 2004)

As a result of the commercial pressure new methods of durability evaluation have to be explored, automotive suppliers are now being asked to develop new components and subsystems in shorter times and using fewer physical ...
Lecture Notes in Artificial Intelligence

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

In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) of a three joint robotic manipulator with the comparison of the SISO generalized predictive control (GPC) ...
Software Defect Detection by using Data Mining based Fuzzy Logic

Adak, Muhammed Fatih (IEEE, 2018)

Software updates and maintenance costs can be reduced by a successful quality control process. Defect prediction is particularly important during software quality control, and a number of methods have been applied to ...
TRCyberLab: An Infrastructure for Future Internet and Security Studies

Ilker Ozcelik; Sedat Akleylek; Özçelik, İbrahim; A Varol; M Karabatak; C Varol (IEEE, 2018)

The digital world is continuously changing, and new technologies affecting every aspect of our life. In order to keep up with these changes and have some impact and/or control over it; we must conduct advanced research on ...
Deep learning approaches in electron microscopy imaging for mitochondria segmentation

Öztel, İsmail; Yolcu Öztel, Gözde; Ilker Ersoy; Tommi A. White; Filiz Bunyak (INDERSCIENCE ENTERPRISES LTD, 2018)

Deep neural networks provide outstanding classification and detection accuracy in biomedical imaging applications. We present a study for mitochondria segmentation in electron microscopy (EM) images. Mitochondria play a ...
A New Augmented K-Means Algorithm for Seed Segmentation in Microscopic Images of the Colon Cancer

Yurtsever, Ulaş; Evirgen, Hayrettin; Prof.Dr. Mustafa Cihat Avunduk (UNIV OSIJEK, TECH FAC, 2018)

In this study, we analyze histologic human colon tissue images that we captured with a camera-mounted microscope. We propose the Augmented K-Means Clustering algorithm as a method of segmenting cell nuclei in such colon ...
Development of the ECAT Preprocessor with the Trust Communication Approach

Ovaz Akpınar, Kevser; Özçelik, İbrahim (WILEY-HINDAWI, 2018)

In the past several years, attacks over industrial control systems (ICS) have become increasingly frequent and sophisticated. The most common objectives of these types of attacks are controlling/monitoring the physical ...
A New Chaotic System with Multiple Attractors: Dynamic Analysis, Circuit Realization and S-Box Design

Qiang Lai; Akif Akgul; Chunbiao Li; Guanghui Xu; Çavuşoğlu, Ünal (MDPI AG, 2018)

This paper reports about a novel three-dimensional chaotic system with three nonlinearities. The system has one stable equilibrium, two stable equilibria and one saddle node, two saddle foci and one saddle node for different ...
A novel approach for strong S-Box generation algorithm design based on chaotic scaled Zhongtang system

Çavuşoğlu, Ünal; Zengin, Ahmet; Pehlivan, İhsan; Kaçar, Sezgin (SPRINGER, 2017)

Substitution Box (S-Box) is one of the most significant structures used to create an encryption which is strong and resistant against attacks in block encryption algorithms. S-Box plays an important role in data encryption. ...
A feature dependent Naive Bayes approach and its application to the software defect prediction problem

Omer Faruk Arar; Ayan, Kürşat (ELSEVIER SCIENCE BV, 2017)

Naive Bayes is one of the most widely used algorithms in classification problems because of its simplicity, effectiveness, and robustness. It is suitable for many learning scenarios, such as image classification, fraud ...