Fuzzy Logic Technique for RF Based Localisation System In Built Environment

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dc.contributor.author Al-Jumaily, A
dc.contributor.author Ramadanny, BI
dc.contributor.editor Aboshosha, A
dc.date.accessioned 2010-05-18T06:49:34Z
dc.date.issued 2005-01
dc.identifier.citation AIML 2005 Proceedings, 2005, pp. 118 - 123
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
dc.publisher AIML
dc.subject human localisation, RF, fuzzy logic, indoor environment.
dc.subject human localisation, RF, fuzzy logic, indoor environment.
dc.title Fuzzy Logic Technique for RF Based Localisation System In Built Environment
dc.type Conference Proceeding
dc.parent AIML 2005 Proceedings
dc.journal.number en_US
dc.publocation Cairo, Egypt en_US
dc.publocation Cairo, Egypt
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 International Conference on Artificial Intelligence and Machine Learning
dc.conference.location Cairo, Egypt en_US
dc.for 080109 Pattern Recognition and Data Mining
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080101 Adaptive Agents and Intelligent Robotics
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.date.activity 2005-12-19
dc.location.activity Cairo, Egypt en_US
dc.location.activity Cairo, Egypt
dc.description.keywords human localisation, RF, fuzzy logic, indoor environment. en_US
dc.description.keywords human localisation, RF, fuzzy logic, indoor environment.
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies


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