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dc.contributor.authorReaz, MBI
dc.contributor.authorAssim, A
dc.contributor.authorIbrahimy, MI
dc.contributor.authorChoong, F
dc.contributor.authorMohd-Yasin, F
dc.contributor.editorHamid R. Arabnia ...[et al.]
dc.date.accessioned2017-05-03T11:49:39Z
dc.date.available2017-05-03T11:49:39Z
dc.date.issued2008
dc.date.modified2013-02-13T23:55:12Z
dc.identifier.isbn9781601320728
dc.identifier.urihttp://hdl.handle.net/10072/40614
dc.description.abstractFuture Smart-Home device usage prediction is a very important module in artificial intelligence. The technique involves analyzing the user performed actions history and apply mathematical methods to predict the most feasible next user action. Unfortunately most of the techniques tend to ignore the adaptation to the user preferred actions and the relation between the actions and the state of the environment which is not practical for Smart-Home systems. This paper present a new algorithm of user action prediction based on pattern matching and techniques of reinforcement learning. The algorithm is modeled using hardware description language VHDL. Synthetic data had been used to test the algorithm and the result shows that the algorithm performs realistically better than the current available techniques
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent798865 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherCSREA
dc.publisher.placeLas Vegas
dc.publisher.urihttp://www.world-academy-of-science.org/worldcomp08/ws/conferences/mlmta08
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename2008 international conference on machine learning: models, technologies and applications (MLMTA'08)
dc.relation.ispartofconferencetitleProceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
dc.relation.ispartofdatefrom2008-07-14
dc.relation.ispartofdateto2008-07-17
dc.relation.ispartoflocationLas Vegas
dc.relation.ispartofpagefrom213
dc.relation.ispartofpageto218
dc.rights.retentionY
dc.subject.fieldofresearchElectrical and Electronic Engineering not elsewhere classified
dc.subject.fieldofresearchcode090699
dc.titleHardware Simulation of Home Automation Using Pattern Matching and Reinforcement Learning for Disabled People
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2008 CSREA. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorMohd-Yasin, Faisal


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