Fuzzy Logic Technique for RF Based Localisation System In Built Environment

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dc.contributor.author Ramadanny, Bashar en_US
dc.contributor.author Al-Jumaily, Adel Ali en_US
dc.contributor.editor Aboshosha, A. en_US
dc.date.accessioned 2010-05-18T06:49:34Z
dc.date.available 2010-05-18T06:49:34Z
dc.date.issued 2005 en_US
dc.identifier 2005002304 en_US
dc.identifier.citation Al-Jumaily Adel and Ramadanny Bashar 2005, 'Fuzzy Logic Technique for RF Based Localisation System In Built Environment', AIML, Cairo, Egypt, pp. 118-123. en_US
dc.identifier.issn 21968/1687-4846 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7054
dc.description.abstract Localisation for human or robots in built environment is one of impartment issue in many applications. Increasing mobile computing devices, that often require knowing where things are actually placed, can be utilised and can be used in localisation systems. To use such systems, various and different location systems and technologies have been developed. This paper studies the use of the radio frequency signal strength information extracted from a pre-installed wireless network as a localiser sensor to locate a mobile (human) user in built environment. A strategy based on a fuzzy logic technique to estimate the mobile user location in built environment has been investigated en_US
dc.publisher AIML en_US
dc.relation.isbasedon http://www.icgst.com/AIML05/conference/index.html en_US
dc.title Fuzzy Logic Technique for RF Based Localisation System In Built Environment en_US
dc.parent AIML 2005 Proceedings en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Cairo, Egypt en_US
dc.identifier.startpage 118 en_US
dc.identifier.endpage 123 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference.location Cairo, Egypt en_US
dc.for 080108 en_US
dc.personcode 011083 en_US
dc.personcode 02137038 en_US
dc.percentage 50 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Artificial Intelligence and Machine Learning en_US
dc.date.activity 20051219 en_US
dc.location.activity Cairo, Egypt en_US
dc.description.keywords human localisation, RF, fuzzy logic, indoor environment. en_US

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