Mobile user location prediction: genetic algorithm-based approach
Context histories, especially when recorded over a long term, offer a wide range of possibilities to enhance the services provided by ubiquitous computing system application. These possibilities include inferring of current and past user location, and selection of devices. However, the prediction o...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/2914/ http://irep.iium.edu.my/2914/1/GeneticAlg_05679444.pdf |
| _version_ | 1848776072585281536 |
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| author | Mantoro, Teddy Muataz, Zubaidah Ayu, Media Anugerah |
| author_facet | Mantoro, Teddy Muataz, Zubaidah Ayu, Media Anugerah |
| author_sort | Mantoro, Teddy |
| building | IIUM Repository |
| collection | Online Access |
| description | Context histories, especially when recorded over a long term, offer a wide range of possibilities to enhance the
services provided by ubiquitous computing system application. These possibilities include inferring of current and past user location, and selection of devices. However, the prediction of future context based on the recorded past locations is often conceived as the ultimate challenge in exploiting the whole of context histories. This paper presents a prediction of user location using genetic algorithm and based location history in finding a number of solutions of possible location when applied to recorded context histories, framework is presented and the result are discussed. |
| first_indexed | 2025-11-14T14:24:17Z |
| format | Proceeding Paper |
| id | iium-2914 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:24:17Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-29142011-09-22T00:26:33Z http://irep.iium.edu.my/2914/ Mobile user location prediction: genetic algorithm-based approach Mantoro, Teddy Muataz, Zubaidah Ayu, Media Anugerah T Technology (General) T58.5 Information technology Context histories, especially when recorded over a long term, offer a wide range of possibilities to enhance the services provided by ubiquitous computing system application. These possibilities include inferring of current and past user location, and selection of devices. However, the prediction of future context based on the recorded past locations is often conceived as the ultimate challenge in exploiting the whole of context histories. This paper presents a prediction of user location using genetic algorithm and based location history in finding a number of solutions of possible location when applied to recorded context histories, framework is presented and the result are discussed. 2010 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/2914/1/GeneticAlg_05679444.pdf Mantoro, Teddy and Muataz, Zubaidah and Ayu, Media Anugerah (2010) Mobile user location prediction: genetic algorithm-based approach. In: ISIEA 2010 - 2010 IEEE Symposium on Industrial Electronics and Applications, 3 - 5 Oct 2010, Penang. http://dx.doi.org/10.1109/ISIEA.2010.5679444 doi:10.1109/ISIEA.2010.5679444 |
| spellingShingle | T Technology (General) T58.5 Information technology Mantoro, Teddy Muataz, Zubaidah Ayu, Media Anugerah Mobile user location prediction: genetic algorithm-based approach |
| title | Mobile user location prediction: genetic algorithm-based approach |
| title_full | Mobile user location prediction: genetic algorithm-based approach |
| title_fullStr | Mobile user location prediction: genetic algorithm-based approach |
| title_full_unstemmed | Mobile user location prediction: genetic algorithm-based approach |
| title_short | Mobile user location prediction: genetic algorithm-based approach |
| title_sort | mobile user location prediction: genetic algorithm-based approach |
| topic | T Technology (General) T58.5 Information technology |
| url | http://irep.iium.edu.my/2914/ http://irep.iium.edu.my/2914/ http://irep.iium.edu.my/2914/ http://irep.iium.edu.my/2914/1/GeneticAlg_05679444.pdf |