Analysis of Behaviour Patterns of the Residents of a Smart House
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43915703" target="_blank" >RIV/62156489:43110/19:43915703 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-19807-7_5" target="_blank" >https://doi.org/10.1007/978-3-030-19807-7_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-19807-7_5" target="_blank" >10.1007/978-3-030-19807-7_5</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Behaviour Patterns of the Residents of a Smart House
Original language description
The market of smart homes, offices, generally smart buildings has been growing very much in recent years. At the same time, the market offers many opportunities for both technical applications and business cases. The paper shows how the smart homes technology data and its analysis can be used to determine the behaviour patterns of the residents; how the important data can be saved; how to compare the behaviour patterns with actual situation; how to evaluate the difference between the patterns and reality; how to calculate the intervention of the expert systems; how to inform about a change in behaviour of the residents; how to report an alarm when house space seems being disrupted and how to react when serious malfunctions occurs. A fuzzy-expert system was used with benefit for these tasks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Methods in Intelligent Algorithms: Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1
ISBN
978-3-030-19806-0
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
7
Pages from-to
48-54
Publisher name
Springer Switzerland
Place of publication
Cham
Event location
Zlín
Event date
Apr 24, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000503384000005