Browsing by Author "Aydin,E.U."

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Pilot Remote Experiment in the Errl: Measurement of Scattering Parameters
(2007) Özen,M.; Aydin,E.U.; Kara,A.; Department of Electrical & Electronics Engineering
A remote laboratory platform enables the learners to access physical instruments at distant location and to perform experiments remotely via the Internet. This paper focuses on a pilot remote laboratory experiment on measurement of scattering parameters (s parameters) by using vector network analyzer (VNA) in the ERRL (European Remote Radio Laboratory) platform. The results of the pilot experiment are presented, and discussed shortly. © 2007 IEEE.
Citation - Scopus: 14
A Remote Laboratory for Training in Radio Communications: Errl
(2007) Kara,A.; Aydin,E.U.; Öktem,R.; Çaǧiltay,N.; Department of Electrical & Electronics Engineering
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. © 2007 IEEE.
Citation - Scopus: 5
An Rfid Based Location Finding and Tracking With Guidance
(2008) Oktem,R.; Aydin,E.U.; Cagiltay,N.E.
This paper tackles an RFID based location finding and tracking system. The system is an integral part of a navigation aid being developed for guiding visually disabled people in a store. The aid is composed of a portable hardware interface unit, a standalone RFID unit, and a central processing unit. The units interact via wireless communication to locate the position of the user in a known indoor environment and tracking his/her movement. An active RFID tag helps to estimate the location of a user and the user is guided to follow a route accordingly, via a tactile compass. The system uses RF signal strengths and is based on Bayes Decision Theory. Initial simulation results with the system prove promising for location finding and tracking, especially when the tracked person is guided by a system. © 2008 IEEE.