Browsing by Author "Oektem, Rusen"

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A Fast Hough Transform Approximation and Its Application for Barcode Localization
(Ieee, 2007) Safran, Mehmet Ilhami; Oektem, Rusen; 01. Atılım University
This paper addresses barcode localization in images acquired by wireles cameras. For this purpose, a fast Hough transform approximation by use of a sliding mask is developed. The approximation decomposes the lines at different orientations into distinct bitplanes. Barcode localization is achieved by considering the high density locations in the bitplanes via morphology and profiling. The time complexity of the proposed approximation is lower than the previously proposed fast Hough transform, though it achieves the equal performance in localization of barcodes.
A remote laboratory for training in radio communications
(Ieee, 2007) Kara, Ali; Aydin, Elif Uray; Oektem, Rusen; Cagiltay, Nergiz; Department of Electrical & Electronics Engineering; Software Engineering; 15. Graduate School of Natural and Applied Sciences; 06. School Of Engineering; 01. Atılım University
This paper presents, first, a short survey of remote laboratory initiatives in electrical and computer engineering, and then discusses design and development phases of remote laboratory environment on radio communications, the ERRL (European Remote Radio Laboratory). As being the first. attempt in establishing of such a large scale remote laboratory on radio communications, ERRL enables access to high technology RF equipments and setups through the Internet. The software structure, target groups and experimental set ups of ERRL are shortly discussed. First attempts on implementation of pilot experiments are discussed.
Study of an Rfid Based Moving Object Tracking System
(Istanbul Technical Univ, 2007) Aydin, Elif; Oektem, Rusen; Dincer, Zeynep; Akbulut, I. Kaan; Department of Electrical & Electronics Engineering; 15. Graduate School of Natural and Applied Sciences; 01. Atılım University
This paper presents a study on localization and tracking of an object carrying an active RFID tag. The study incorporates processing of the signals received from transmitters.. in a way to locate and track the coordinate in an indoor environment. During the course of the project,, both outdoor and indoor experiments have been conducted. Empirical distance vs signal strength formulations are formed by use of the collected data. Deviation of the reported values from the theory is analyzed, and the effects of reflections from doors. windows, etc. are observed. In order to improve the accuracy of tracking, Bayesian and Kalman Filtering approaches are incorporated.