Artificial intelligence in ISES Measureserver for Remote Experiment Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093205" target="_blank" >RIV/61989100:27240/14:86093205 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/14:43872136
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Artificial intelligence in ISES Measureserver for Remote Experiment Control
Original language description
The paper deals with the area of Internet School Experimental System (ISES) remote experiments in general and its core module called ISES Measu- reserver(R). In particular ISES Measureserver(R) is, in fact, a finite state machine, serving for the measured data accumulation, processing and providing commu- nication in the server-client system. Recently, we replenished ISES Measure- server(R) by a new functionality, namely diagnostics of the connected to the RE physical hardware, using the artificial intelligence solutions. In the introduction, the state of the art of ISES remote experiments is de- scribed. In the next chapter a consideration for the applying of proper artificial intelligence method to improve the Measureserver(R) reliability is made. Wefo- cused on the cognitive Fault Diagnosis System (FDS) intended for distributed sensor networks. FDS makes advantage of spatial and temporal relationship among sensors connected to RE physical hardware to give the information for reduct
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2014: prediction, modeling and analysis of complex systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
411-421
Publisher name
Springer
Place of publication
London
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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