Rule Making Algorithms for Smart Home Control

Andrej Strasiftak; Dušan Mudrončík; Andrea Peterková

doi:10.4028/www.scientific.net/AMM.693.451

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Rule Making Algorithms for Smart Home Control
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 693Rule Making Algorithms for Smart Home Control

Rule Making Algorithms for Smart Home Control

Abstract:

In this article we want to introduce our first tested concept of a learning mechanism for smart homes. It is a number of interrelated algorithms that search the database of events in the home automation system. By searching, mechanism selects those events that at the time repeated several times under well-defined rules. Finally creates a database of basic rules, some basic knowledge database of activities. These can then serve as the management rules or may be further examined for activity recognition.

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Periodical:

Applied Mechanics and Materials (Volume 693)

Pages:

451-456

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.693.451

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Online since:

December 2014

Authors:

Andrej Strasiftak*, Dušan Mudrončík, Andrea Peterková

Keywords:

Algorithm (GA), Control, Self-Learning, Smart Home

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References

[1] Han, J., Kamber, M. – Data mining: Concepts and Techniques. Morgan Kaufmann Publishers, (2000).

Google Scholar

[2] Witten, I.H., Frank, E. – Data mining, Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers, (2005).

Google Scholar

[3] Kebísek, M., Tanuška, P. – Možnosti využitia genetických algoritmov pri získavaní údajov z rozsiahlych databáz: [Published online] http: /www. mtf. stuba. sk/docs/internetovy_casopis/2004/3/kebisek. pdf.

Google Scholar

[4] Doda, V., Köszeghy, N. – Algoritmus Apriori. [Published online] https: /oz. koncz. sk/attachments/article/111/Algoritmus_Apriorii. pdf.

Google Scholar

[5] Strašifták, A. – Data collection in self-learning smart house. International Doctoral Seminar 2012: proceeding. AlumniPress, (2012).

Google Scholar