Analysis of Behaviour Patterns of the Residents of a Smart House

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Behaviour Patterns of the Residents of a Smart House

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of Behaviour Patterns of the Residents of a Smart House

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

7

Strana od-do

48-54

Název nakladatele

Springer Switzerland

Místo vydání

Cham

Místo konání akce

Zlín

Datum konání akce

24. 4. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000503384000005