Beyond Home Automation: Designing More Effective Smart Home Systems

Paolo Carner

doi:10.21427/p3da-7138

Beyond Home Automation: Designing More Effective Smart Home Systems

Paolo Carner

Research output: Contribution to conference › Paper › peer-review

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
DOIs	https://doi.org/10.21427/p3da-7138
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
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

Access to Document

10.21427/p3da-7138Licence: CC BY-NC-SA

Cite this

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title = "Beyond Home Automation: Designing More Effective Smart Home Systems",

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{\texttrademark} hardware kit and a Netica{\texttrademark} Bayesian Network engine from Norsys.",

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AB - 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.

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KW - Bayesian Network

KW - Artificial Intelligence

KW - inference engine

KW - fire detection

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Beyond Home Automation: Designing More Effective Smart Home Systems

Abstract

Conference

Keywords

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Cite this