Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals

Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals

Wi-Fi’s signals strength (SS), and signal quality (SQ) are found to greatly fluctuate in determination of symbolic user location in an indoor environment. This paper explores the influence of several different training data-sets in determining user’s symbolic location. The implementation and experi...

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Main Authors: Mantoro, Teddy, Azizan, Ahmad, Khairuzzaman, Salahudin, Ayu, Media Anugerah
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/1/MultiObserver_05356348.pdf
id iium-4621
recordtype eprints
spelling iium-46212011-09-27T02:00:52Z http://irep.iium.edu.my/4621/ Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals Mantoro, Teddy Azizan, Ahmad Khairuzzaman, Salahudin Ayu, Media Anugerah T Technology (General) Wi-Fi’s signals strength (SS), and signal quality (SQ) are found to greatly fluctuate in determination of symbolic user location in an indoor environment. This paper explores the influence of several different training data-sets in determining user’s symbolic location. The implementation and experimentation were done using offline instance-based machine learning methods to filter all of the training data-sets. The training data-sets were optimized using "multiple observers" k-Nearest Neighbor approach. Using this method, four different observations were compared, which were 8M observations of SQ and SS , 8M SS observers, 1M SQ and SS and the last was 1M SS observers. Then, a continuing determination of the user location was performed by finding the majority of the nearest ten (k=10) user locations. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/4621/1/MultiObserver_05356348.pdf Mantoro, Teddy and Azizan, Ahmad and Khairuzzaman, Salahudin and Ayu, Media Anugerah (2009) Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals. In: IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009), 4 - 6 October, 2009, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356348&tag=1 doi:10.1109/ISIEA.2009.5356348
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mantoro, Teddy
Azizan, Ahmad
Khairuzzaman, Salahudin
Ayu, Media Anugerah
Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
description Wi-Fi’s signals strength (SS), and signal quality (SQ) are found to greatly fluctuate in determination of symbolic user location in an indoor environment. This paper explores the influence of several different training data-sets in determining user’s symbolic location. The implementation and experimentation were done using offline instance-based machine learning methods to filter all of the training data-sets. The training data-sets were optimized using "multiple observers" k-Nearest Neighbor approach. Using this method, four different observations were compared, which were 8M observations of SQ and SS , 8M SS observers, 1M SQ and SS and the last was 1M SS observers. Then, a continuing determination of the user location was performed by finding the majority of the nearest ten (k=10) user locations.
format Conference or Workshop Item
author Mantoro, Teddy
Azizan, Ahmad
Khairuzzaman, Salahudin
Ayu, Media Anugerah
author_facet Mantoro, Teddy
Azizan, Ahmad
Khairuzzaman, Salahudin
Ayu, Media Anugerah
author_sort Mantoro, Teddy
title Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
title_short Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
title_full Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
title_fullStr Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
title_full_unstemmed Multi-observers instance-based learning approach for indoor symbolic user location determination using IEEE 802.11 signals
title_sort multi-observers instance-based learning approach for indoor symbolic user location determination using ieee 802.11 signals
publishDate 2009
url http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/
http://irep.iium.edu.my/4621/1/MultiObserver_05356348.pdf
first_indexed 2023-09-18T20:12:54Z
last_indexed 2023-09-18T20:12:54Z
_version_ 1777407596911656960

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