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1.2 COMPUTER AND INFORMATION SCIENCE
This paper outlines a Smart Home Proof-of-Concept system that uses a Bayesian Network to predict the likelihood of a monitored event to occur. Firstly, this paper will provide an introduction to the concept of a smart home system; then it will outline how Artificial Intelligence concepts can be used to make such systems more effective. Finally, it will detail the implementation of a smart home system, which uses an inference engine to determine the likelihood of a fire. The system prototype has implemented using a LonWorks™ hardware kit and a Netica™ Bayesian Network engine from Norsys.
Carner, P. (2009). Beyond home automation:designing more effective smart home systems. Ninth IT & T Conference, Technological University Dublin, Dublin, Ireland, 22nd-23rd October. doi:10.21427/p3da-7138