Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm
The past decade has seen a rapid development of many applications in the field of pervasive or ubiquitous computing. This is made possible by rapid development in mobile and handheld devices. Due to this widespread usage however, localization and positioning systems, especially indoor, have become i...
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iium-80972013-02-12T02:55:09Z http://irep.iium.edu.my/8097/ Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm Mantoro, Teddy Olowolayemo, Akeem Koye T Technology (General) The past decade has seen a rapid development of many applications in the field of pervasive or ubiquitous computing. This is made possible by rapid development in mobile and handheld devices. Due to this widespread usage however, localization and positioning systems, especially indoor, have become increasingly important for resources management. This entails information devices to have context awareness and prediction of current location of the users to adequately respond to the need at the time. In this work, we examine the location determination techniques by attempting to predict location of mobile users taking advantage of signal strength (SS) and signal quality (SQ). 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/8097/1/Mobile_user_location_prediction_enabled_services_in_ubiquitous_computingDetermination_user_location_using_MFN_algorithm.pdf Mantoro, Teddy and Olowolayemo, Akeem Koye (2009) Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm. In: MoMM2009 - The 7th International Conference on Advances in Mobile Computing and Multimedia, 14-16 Dec 2009, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1145/1821748.1821810 doi:10.1145/1821748.1821810 |
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International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
language |
English |
topic |
T Technology (General) |
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T Technology (General) Mantoro, Teddy Olowolayemo, Akeem Koye Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
description |
The past decade has seen a rapid development of many applications in the field of pervasive or ubiquitous computing. This is made possible by rapid development in mobile and handheld devices. Due to this widespread usage however, localization and positioning systems, especially indoor, have become increasingly important for resources management. This entails information devices to have context awareness and prediction of current location of the users to adequately respond to the need at the time. In this work, we examine the location determination techniques by attempting to predict location of mobile users taking advantage of signal strength (SS) and signal quality (SQ). |
format |
Conference or Workshop Item |
author |
Mantoro, Teddy Olowolayemo, Akeem Koye |
author_facet |
Mantoro, Teddy Olowolayemo, Akeem Koye |
author_sort |
Mantoro, Teddy |
title |
Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
title_short |
Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
title_full |
Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
title_fullStr |
Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
title_full_unstemmed |
Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm |
title_sort |
mobile user location prediction enabled services in ubiquitous computing: determination user location using mfn algorithm |
publishDate |
2009 |
url |
http://irep.iium.edu.my/8097/ http://irep.iium.edu.my/8097/ http://irep.iium.edu.my/8097/ http://irep.iium.edu.my/8097/1/Mobile_user_location_prediction_enabled_services_in_ubiquitous_computingDetermination_user_location_using_MFN_algorithm.pdf |
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2023-09-18T20:17:44Z |
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2023-09-18T20:17:44Z |
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1777407900226945024 |