Browsing Mühendislik Fakültesi by Subject "Computer Science"

Now showing items 1-13 of 50

A FPGA Based Remote Accessible Digital System Laboratory Prototype

M. Serdar Bascil; Yazıcı, İrfan; Temurtaş, Feyzullah (IEEE COMPUTER SOC, 2012)

In this work, a FPGA based remote accessible digital system laboratory prototype is created for Electrical & Electronics Engineering undergraduate students. The system consists of an Altera DE2 development and education ...
A Fuzzy Cognitive Map Approach Applied in Cost-Benefit Analysis for Highway Projects

Muhammed Emin Cihangir Bagdath; Akbıyıklı, Rıfat; Elpiniki I. Papageorgiou (SPRINGER HEIDELBERG, 2017)

Cost-benefit analysis (CBA) is a method widely used all over the world for transport project appraisal. However, this method needs to handle the inherent uncertainty which affects the results negatively. In a highway ...
A new classification approach using discriminant functions

Demirkol, Aşkın; Demir, Zafer; Emre, Erol (INST INFORMATION SCIENCE, 2005)

In this study, an approach involving new types of cost functions is given for the construction of discriminant functions. Centers of mass, not specified a priori, around feature vectors are clustered using cost function. ...
A new neuro-dominance rule for single-machine tardiness problem with double due date

Çakar, Tarık; Köker, Raşit; Canay, Özkan (SPRINGER LONDON LTD, 2015)

In this study, the single-machine total weighted tardiness scheduling problem with double due date has been addressed. The neuro-dominance rule (NDR-D) is proposed to decrease the total weighted tardiness (TWT) for the ...
A new security approach for public transport application against tag cloning with neural network-based pattern recognition

Düzenli, Gürsel (SPRINGER LONDON LTD, 2015)

RFID tags are widely used in situations where their counterfeiting or cloning can bring financial rewards. Cloning is a particular problem because it gets round the sophisticated security measures. This paper describes a ...
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 reinforcement learning algorithm with fuzzy approximation for semi Markov decision problems

Kula, Ufuk; Beyazit Ocaktan (IOS PRESS, 2015)

Real life stochastic problems are generally large-scale, difficult to model, and therefore, suffer from the curses of dimensionality. Such problems cannot be solved by classical optimization methods. This paper presents a ...
An Adaptive Neural Network Control Scheme for Stabilizing Chaos to the Stable Fixed Point

Kursad Gokce; Uyaroğlu, Yılmaz (KAUNAS UNIV TECHNOLOGY, 2017)

A neural network control scheme with a novel adaptive learning rate is proposed to stabilize the chaotic trajectory of the chaotic system to a stable fixed point. A new approach is proposed to determine the stability of ...
An Analysis and Comparison of Adoption of E-learning Systems in Higher Education by Lecturers at Largest Universities in Estonia and Turkey

Fatih Gullu; Rein Kuusik; Kazbulat Shogenov; Mart Laanpere; Yusuf Oysal; Omer Faruk Sozcu; Parlak, Zekeriya (UNIV LATVIA, 2016)

In this study, for the first time, we analysed and compared adoption of e-learning by lecturers in three largest universities in Estonia and Turkey. Total number of students and academic staff in the Estonian universities ...
An application of fuzzy clustering to manufacturing cell design

Torkul, Orhan; Cedimoğlu, İsmail Hakkı (IOS PRESS, 2006)

There are several methods and techniques for manufacturing cell design. Many clustering techniques have focused on operations that have been made on part-machine matrix. Some methods have used array-based techniques while ...
Analysis of cross-price effects on markdown policies by using function approximation techniques

Kula, Ufuk (ELSEVIER SCIENCE BV, 2013)

Markdown policies for product groups having significant cross-price elasticity among each other should be jointly determined. However, finding optimal policies for product groups becomes computationally intractable as the ...
Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Uçar, Muhammed Kürşad; Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2017)

Obstructive sleep apnea is a syndrome which is characterized by the decrease in air flow or respiratory arrest depending on upper respiratory tract obstructions recurring during sleep and often observed with the decrease ...
Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques

Bozkurt, Mehmet Recep; Bilgin, Cahit; Kemal Polat (SPRINGER, 2018)

It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep and wakefulness using a practical and applicable method. For this ...