Bilgisayar ve Bilişim Bilimleri Fakültesi: Recent submissions

Now showing items 161-180 of 295

LECTURE NOTES IN COMPUTER SCIENCE

Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2003)

In this study, a fuzzy logic based algorithm is presented for the concentration estimation of the CCl4 and CHCl3 gases by using the steady state sensor response and an artificial neural network (ANN) structure is proposed ...
DEVELOPMENT OF WEB BASED REMOTE MONITORING SYSTEM FOR WIRELESS SENSOR NETWORKS USING MATLAB WEB SERVER

Bayılmış, Cüneyt; Çakiroǧlu, Murat; Öztürk, Selim Şeref (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2010)

Wireless Sensor Networks (WSNs) are used in various fields such as military and medical applications, detection of natural disasters, building security systems and monitoring the field of automated activity in the factories. ...
LIBRARY AUTOMATION DESIGN FOR VISUALLY IMPAIRED PEOPLE

Yurtay, Nilüfer; Yücel Bicil; Sait Çelebi; Çit, Gülüzar; Balta, Deniz (TURKISH ONLINE JOURNAL EDUCATIONAL TECH-TOJET, 2011)

Speech synthesis is a technology used in many different areas in computer science. This technology can bring a solution to reading activity of visually impaired people due to its text to speech conversion. Based on this ...
A CAN/IEEE 802.11b wireless Lan local bridge design

Bayılmış, Cüneyt; Çeken, Celal; Özçelik, İbrahim (ELSEVIER SCIENCE BV, 2008)

Employing CAN in distributed real-time control applications sometimes critically requires increasing the size of distributed area, and communication with both other LANs and independent CAN segments. An interworking device ...
A neural network implemented microcontroller system for quantitative classification of hazardous organic gases in the ambient air

Gülbağ, Ali; Temurtaş, Feyzullah (INDERSCIENCE ENTERPRISES LTD, 2009)

In this study, a microcontroller-based gas mixture classification system is proposed to use real-time analyses of the trichloroethylene and acetone binary mixture. A Feed Forward Neural Network (FFNN) structure is performed ...
A new steganography algorithm based on color histograms for data embedding into raw video streams

Çetin, Özdemir; Özcerit, Ahmet Turan (ELSEVIER ADVANCED TECHNOLOGY, 2009)

Steganography, embedding secret data into unsuspected objects, has emerged as a significant sub-discipline of data-embedding methods. While mostly applied to still images in the past, it has become very popular for video ...
Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks

Gülbağ, Ali; Temurtaş, Feyzullah; Yusubov, İsmihan (ELSEVIER SCIENCE SA, 2008)

In this study, the quantitative discrimination of seven different types of binary volatile organic gas mixtures were realized by using a proposed structure which was combination of probabilistic neural networks (PNNs) and ...
Statistical regression and artificial neural network analyses of impinging jet experiments

Yumuşak, Nejat (SPRINGER, 2009)

The purpose of this paper is to focus on the experimentally obtained results of impinging jet applications by the help of two different analysis methods. Circular round pipes (D = 7.9, 10.8, 13.8 and 23.1 mm) have been ...
Design, implementation and performance analysis of the CAN/ATM local bridge

Özçelik, İbrahim; Ekiz, Hüseyin (ELSEVIER SCIENCE BV, 2008)

In this paper, a method describing connection between CAN and ATM systems is presented.(1) The proposed method reveals the usage of ATM at the cell level of the CIM architecture. This leads to the fact that a new bridge ...
A comparative study on diabetes disease diagnosis using neural networks

Yumuşak, Nejat; Temurtaş, Feyzullah (PERGAMON-ELSEVIER SCIENCE LTD, 2009)

Diabetes occurs when a body is unable to produce or respond properly to insulin which is needed to regulate glucose. Besides contributing to heart disease, diabetes also increases the risks of developing kidney disease, ...
A new routing algorithm in MANETs: Position based hybrid routing

Özçelik, İbrahim; Ekiz, Hüseyin (ACADEMIC JOURNALS, 2010)

Ad hoc wireless networks consist of mobile nodes that communicate with each other without an infrastructure. A reduction in routing overload and efficient use of resources are two very important issues in these networks. ...
Integration of a speech activated control system and a wireless interworking unit for a CAN-based distributed application

Bayılmış, Cüneyt; Çeken, Celal; Özçelik, İbrahim (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2009)

Ever increasing number of mobile devices in automation systems have revealed the requirement of utilizing wireless communication systems enabling interoperability between existing wired and wireless systems. Therefore, a ...
Interconnection of CAN segments through IEEE 802.16 wireless MAN

Özçelik, İbrahim (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2008)

The Controller Area Network (CAN) is a high-performance and highly reliable advanced serial communication protocol, which efficiently supports distributed real-time control. CAN-based distributed control systems have ...
A study on industrial robotic manipulator model using model based predictive controls

Durmuş, Burhanettin; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER, 2009)

In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was applied to a six joint robotic manipulator. The SISO generalized predictive control (GPC) was also used for comparison. ...
The determination of the stability regions and sequential transient stability analysis of integrated AC-DC power system consisting of bipolar DC lines via the controlling unstable equilibrium points

Ayan, Kürşat; Arifoğlu, Uğur (VDE VERLAG GMBH, 2003)

In this paper, a sequential transient stability analysis of an integrated AC-DC power system consisting of bipolar MTDC is accomplished by taking into account the variation of the amplitude of the bus voltages during ...
A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2006)

In this study, the feed forward neural networks (FFNNs) were applied and an adaptive neuro-fuzzy inference system (ANFIS) was proposed for quantitative identification of individual gas concentrations (trichloroethylene and ...
A new MAC protocol design based on TDMA/FDD for QoS support in WATM networks

Çeken, Celal; Bayılmış, Cüneyt (ELSEVIER SCIENCE BV, 2006)

Several wireless networking solutions have been developed to provide different types of services for various end user applications. Currently, wireless networking infrastructures are not suitable for multimedia applications ...
American sign language recognition using multi-dimensional hidden Markov models

Öz, Cemil (INST INFORMATION SCIENCE, 2006)

An American Sign Language (ASL) recognition system developed based on multidimensional Hidden Markov Models (HMM) is presented in this paper. A Cyberglove (TM) sensory glove and a Flock of Birdso motion tracker are used ...
A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...
A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures

Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)

In this study, a comparative study was performed for the quantitative identification of individual gas concentrations (trichloroethylene and acetone) in their gas mixtures using transient and steady state sensor responses. ...