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Design and Fabrication of Dual-Frequency H-Shaped Antenna;
(IEEE, 2013-04) Dagdeviren,B.; Yavuz Kapusuz,K.; Can,S.; Aydin,E.; Kapusuz, K. Yavuz
In this study, the parameters that effects the operating frequency of dual frequency H-shaped antenna are examined. These parameters are determined as type of the dielectric constant of substrate, substrate thickness, dimensions of the antenna and dimensions of the slots that are used to obtain shape of H. The produced and simulated results of the proposed antennas are presented and compared with the studies in literature. © 2013 IEEE.
Reader Antenna Design for Rfid Applications;
(IEEE, 2013-04) Kaynakö,G.; Kzlu,N.; Kapusuz,K.Y.; Can,S.; Aydzn,E.; Kaynakoz, Goktug; Kilic, N. Koray; Aydin, Elif
In this paper, a coplanar waveguide (CPW) fed microstrip patch antenna is designed on finite element method based simulation program and fabricated in order to use reader antenna in Radio Frequency Identification (RFID). The results of the simulations and the produced antennas are presented in the study. The produced microstrip patch anten na has a 105MHz bandwidth and operates in between 895-1000 MHz . © 2013 IEEE.
A study for development of propagation model based on ray tracing for coverage prediction in terrestrial broadcasting systems;
(IEEE, 2009-04) Tabakcioǧlu,M.B.; Özmen,A.; Kara,A.
In this work, improvements on propagation prediction models based on ray tracing in coverage estimation for digital broadcasting systems are presented. For this purpose, firstly, propagation models based on Geometrical Theory of Diffraction (GTD) are discussed, and then an improved model is proposed for prediction of propagation path loss or electric field strength at the receiver. The proposed model incorporates first order expansion of classical GTD in field computation and convex hull for ray tracing. Simulation results are presented for comparison of various models in terms of computation time and accuracy. ©2009 IEEE.
An Approach for Perceptual Similarity Detection Between Audios Independent of Genre Via Metadata Extraction and Correlation;
(IEEE, 2007-06) Komsu,F.; Öztoprak,K.; Tora,H.; Oeztoprak, Kasim
This study presents an approach for perceptual similarity detection between audios independent of genre. The study is formed of three phases; signal pre-processing as the first phase, metadata extraction via various perceptually compatible features as the second phase, and correlation methodology for similarity identification as the third phase. The performance and relative importance of the selected features for perceptual similarity analysis are presented as testing results. Moreover, relative importance of preprocessing is introduced. Using the proposed methodology, perceptual similarity detection between genre independent audios is achieved with a 96.85% performance. Contribution highly lies on the independency of genre.
A bayes decision model for RSS based location estimation;
(IEEE, 2007-06) Dinçer,Z.; Öktem,R.; Aydin,E.; Oektem, Rwen
This work introduces a location estimation method based on Bayes Decision Theory using Radio Signal Strengths for indoor environment. Signal Strengths are observed through three transmitters at three distinct frequencies in UHF band, an active RFID tag and a modem connected to a computer. The test environment is 2100cmx720cm, which is divided into classed of square grids. For each class, a set of received signal strengths are measured and processed. Assuming that the class in which the RFID tag was located in the previous time of measurement is known, the next location (class) is estimated using Bayes Decision Theory. Proposed method is tested in a laboratory environment with obstacles. Results show that proposed method will be successful in location estimation where the estimation error stays within around 2m.
A Segmentation Algorithm for Foreground/Background Extraction;
(IEEE, 2006) Öktem,R.; Güldoǧan,E.; Gabbouj,M.
This paper describes a three-pass segmentation algorithm followed by a foreground/background extraction rule. Being imperfect, the basic objective of the proposed segmentation is to enable the extraction of objects that may be of main interest to the user, and the background. The formed segments are assigned points, according to the location of their center of mass and bounding box coordinates, and spatial dispersion. Each segment is labelled as foreground or background in compliance with the grade point they get. © 2006 IEEE.

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