Hardware Simulation of Home Automation Using Pattern Matching and Reinforcement Learning for Disabled People

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Title Hardware Simulation of Home Automation Using Pattern Matching and Reinforcement Learning for Disabled People
Author Reaz, M.B.I.; Assim, A.; Ibrahimy, M. I.; Choong, F.; Mohd-Yasin, Faisal
Publication Title Proceedings of the 2008 international conference on machine learning: models, technologies and applications (MLMTA'08)
Editor Hamid R. Arabnia ...[et al.]
Year Published 2008
Place of publication Las Vegas
Publisher CSREA
Abstract Future 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
Peer Reviewed Yes
Published Yes
Publisher URI http://www.world-academy-of-science.org/worldcomp08/ws/conferences/mlmta08
Copyright Statement 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.
ISBN 1601320728
Conference name 2008 international conference on machine learning: models, technologies and applications (MLMTA'08)
Location Las Vegas
Date From 2008-07-14
Date To 2008-07-17
URI http://hdl.handle.net/10072/40614
Date Accessioned 2011-07-29
Date Available 2013-02-13T23:55:12Z
Language en_US
Research Centre Queensland Micro and Nanotechnology Centre
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Electrical and Electronic Engineering
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

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