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Advanced modules diagnostics in ISES remote laboratories

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dc.title Advanced modules diagnostics in ISES remote laboratories en
dc.contributor.author Gerža, Michal
dc.contributor.author Schauer, František
dc.relation.ispartof 10th International Conference on Computer Science and Education, ICCSE 2015
dc.identifier.isbn 978-1-4799-6598-4
dc.date.issued 2015
dc.citation.spage 583
dc.citation.epage 589
dc.event.title 10th International Conference on Computer Science and Education, ICCSE 2015
dc.event.location Cambridge
utb.event.state-en United Kingdom
utb.event.state-cs Velká Británie
dc.event.sdate 2015-07-22
dc.event.edate 2015-07-24
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.identifier.doi 10.1109/ICCSE.2015.7250314
dc.subject detection en
dc.subject diagnostics en
dc.subject fault en
dc.subject hardware module en
dc.subject ISES en
dc.subject Measureserver® en
dc.subject remote laboratory en
dc.description.abstract The paper deals with the advanced detection and diagnostics of physical hardware modules of remote laboratories based on the Internet School Experimental System (ISES) platform. Interested students can use the ISES remote laboratory for experimenting as a unique educational tool to understand the desired phenomena. This is particularly useful for distant students, whom are often not enabled frequent experimental and laboratory courses. The main reason to deal with this issue is the absence of any detection technique of faults and any diagnostic system to help improving the administration. The diagnostic system is designed for those responsible for the ISES remote laboratory hardware functioning. The first chapter, the state of the art, aims to introduce the ISES remote laboratory concept. The next chapter presents the Runtime modules detection component used for the identifying and detecting connected ISES hardware modules by using two bit triplets and masks. The second part of this chapter describes the Rule-based methods exploiting heuristics to detect faults in these modules. The final chapter summarizes all the benefits brought for involved administrators of the ISES remote laboratories. © 2015 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006266
utb.identifier.obdid 43874334
utb.identifier.scopus 2-s2.0-84957927188
utb.identifier.wok 000380412500107
utb.source d-scopus
dc.date.accessioned 2016-04-28T10:53:20Z
dc.date.available 2016-04-28T10:53:20Z
utb.contributor.internalauthor Gerža, Michal
utb.contributor.internalauthor Schauer, František
utb.fulltext.affiliation M. Gerža, F. Schauer Faculty of Applied Informatics Tomas Bata University in Zlín Zlín, Czech Republic michal.gerza@email.cz Faculty of Applied Informatics Tomas Bata University in Zlín Zlín, Czech Republic fschauer@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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