Fuzzy Logic Technique for RF Based Localisation System In Built Environment

Al-Jumaily, A; Ramadanny, BI

Fuzzy Logic Technique for RF Based Localisation System In Built Environment

Al-Jumaily, A

Ramadanny, BI

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Publisher:: AIML
Publication Type:: Conference Proceeding
Citation:: AIML 2005 Proceedings, 2005, pp. 118 - 123
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.author	Ramadanny, BI	en_US
dc.contributor.editor	Aboshosha, A	en_US
dc.date	2005-12-19	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	AIML 2005 Proceedings, 2005, pp. 118 - 123	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.ispartof	AIML 2005 Proceedings	en_US
dc.relation.ispartof	International Conference on Artificial Intelligence and Machine Learning	en_US
dc.title	Fuzzy Logic Technique for RF Based Localisation System In Built Environment	en_US
dc.type	Conference Proceeding
utslib.location	Cairo, Egypt	en_US
utslib.location.activity	Cairo, Egypt	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Cairo, Egypt	en_US
pubs.embargo.period	Not known	en_US
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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Cairo, Egypt	en_US
pubs.start-date	2005-12-19	en_US

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

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http://hdl.handle.net/10453/7054