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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| Format: | Proceeding Paper |
| Language: | en |
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2009
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| Online Access: | http://irep.iium.edu.my/4621/1/MultiObserver_05356348.pdf http://irep.iium.edu.my/4621/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356348&tag=1 |
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| _version_ | 1831346263968186368 |
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| 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 |
| building | IIUM Library |
| collection | Institutional Repository |
| content_provider | International Islamic University Malaysia |
| content_source | IIUM Repository (IREP) |
| continent | Asia |
| country | Malaysia |
| 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 | Proceeding Paper |
| id | my.iium.irep-4621 |
| institution | Universiti Islam Antarabangsa Malaysia |
| language | en |
| publishDate | 2009 |
| record_format | dspace |
| spelling | my.iium.irep-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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/4621/1/MultiObserver_05356348.pdf http://irep.iium.edu.my/4621/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356348&tag=1 |
| url_provider | http://irep.iium.edu.my/ |