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.
Original language | English |
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DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | Ninth IT & T Conference - Dublin, Ireland Duration: 22 Oct 2009 → 23 Oct 2009 |
Conference
Conference | Ninth IT & T Conference |
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Country/Territory | Ireland |
City | Dublin |
Period | 22/10/09 → 23/10/09 |
Keywords
- Smart Home
- Bayesian Network
- Artificial Intelligence
- inference engine
- fire detection
- LonWorks
- Netica