Document Type
Conference Paper
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
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.
Recommended Citation
Carner, P.: Beyond home automation:designing more effective smart home systems. Ninth IT & T Conference, Dublin Institute of Technology, Dublin, Ireland, 22nd-23rd October, 2009.
Publication Details
Paper presented at the Ninth IT & T Conference, Dublin Institute of Technology, Dublin, Ireland, 22nd. - 23rd. October, 2009.