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Intelligent processing of experimental data in ISES remote laboratory

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dc.title Intelligent processing of experimental data in ISES remote laboratory en
dc.contributor.author Gerža, Michal
dc.contributor.author Schauer, František
dc.relation.ispartof International Journal of Online Engineering
dc.identifier.issn 1868-1646 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2016
utb.relation.volume 12
utb.relation.issue 3
dc.citation.spage 58
dc.citation.epage 63
dc.type article
dc.language.iso en
dc.publisher Kassel University Press GmbH
dc.identifier.doi 10.3991/ijoe.v12i03.5538
dc.subject Analysis en
dc.subject Finite-state machine en
dc.subject ISES en
dc.subject Measureserver en
dc.subject Physical experiment en
dc.subject Remote laboratory en
dc.description.abstract The paper deals with the design of the intelligent processing of experimental data measured in the remote laboratories, where the measurements are performed by connected clients via the finite-state machine residing at an advanced server. As physical hardware and software is used the Internet School Experimental System (ISES). This platform is intended for educational purposes at schools and universities to provide the suitable measuring environment for students using computers. It is especially suitable for distance students who cannot attend regular courses during their studies of physics, chemistry or electro-engineering. At present, the remote laboratory does not have any data processing technique. This results in excessive demands on storing capacity. The suggested solution solves this drawback by processing and archiving techniques to store measured data after their organizing in predetermined structures and concomitant data volume reduction. The paper is organized in the following manner. In the first section, Introduction, the ISES remote laboratory concept is introduced, following, State of the art, describing present stage of its ISES physical hardware development. The description of ISES physical software is concentrated at the Measureserver core unit realized as the finite-state machine. The next section deals with the design and implementation of the intelligent data processing component, which is focused on the extracting, filtering and archiving of measured data coming from the Measureserver unit communicating with a physical experiment. Finally, all the functional benefits are summarized for interested, who are involved in the remote experiments construction. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006288
utb.identifier.obdid 43875411
utb.identifier.scopus 2-s2.0-84963715921
utb.identifier.scopus 2-s2.0-85041786820
utb.identifier.wok 000375388500010
utb.source j-scopus
dc.date.accessioned 2016-06-22T12:14:40Z
dc.date.available 2016-06-22T12:14:40Z
dc.rights Attribution 3.0 Austria
dc.rights.uri https://creativecommons.org/licenses/by/3.0/at/deed.en
dc.rights.access openAccess
utb.contributor.internalauthor Gerža, Michal
utb.contributor.internalauthor Schauer, František
utb.fulltext.affiliation M. Gerža 1, F. Schauer 1,2 1 Tomas Bata University in Zlín, Zlín, Czech Republic 2 Trnava University in Trnava, Slovak Republic
utb.fulltext.dates Submitted 31 January 2016 Published as resubmitted by the authors 28 February 2016.
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Attribution 3.0 Austria Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 3.0 Austria