Kontaktujte nás | Jazyk: čeština English
dc.title | Conversion of meteorological input data implemented in the algorithm of storm prediction | en |
dc.contributor.author | Šaur, David | |
dc.contributor.author | Švejda, Jaromír | |
dc.contributor.author | Žák, Roman | |
dc.relation.ispartof | Advances in Intelligent Systems and Computing | |
dc.identifier.issn | 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-3-03-019812-1 | |
dc.date.issued | 2019 | |
utb.relation.volume | 986 | |
dc.citation.spage | 357 | |
dc.citation.epage | 367 | |
dc.event.title | 8th Computer Science On-line Conference, CSOC 2019 | |
dc.event.location | online | |
utb.event.state-en | Czech Republic | |
utb.event.state-cs | Česká republika | |
dc.event.sdate | 2019-04-24 | |
dc.event.edate | 2019-04-27 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Springer Verlag | |
dc.identifier.doi | 10.1007/978-3-030-19813-8_37 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-030-19813-8_37 | |
dc.subject | Weather forecast | en |
dc.subject | Severe storm | en |
dc.subject | Convective precipitation | en |
dc.subject | Algorithm | en |
dc.subject | Data conversion | en |
dc.subject | Data mining | en |
dc.subject | Aggregation method | en |
dc.description.abstract | This article focuses on a new way of converting input meteorological parameters, based on which outputs are computed in the Algorithm of Storm Prediction (Algorithm). This Algorithm has been developed to forecast precipitation and dangerous phenomena associated with convective severe storms that may cause floods in the Czech Republic. Transformation Algorithm of Input Meteorological Parameters is shown in the methodological part for data conversion purposes. The result section evaluates the accuracy of converted outputs using three aggregation methods. The outputs of this article will be used to improve the quality of converted data for computing outputs in the Algorithm of Storm Prediction. © Springer Nature Switzerland AG 2019. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1008746 | |
utb.identifier.obdid | 43880018 | |
utb.identifier.scopus | 2-s2.0-85065916240 | |
utb.identifier.wok | 000485163400037 | |
utb.source | d-scopus | |
dc.date.accessioned | 2019-08-13T10:17:17Z | |
dc.date.available | 2019-08-13T10:17:17Z | |
dc.description.sponsorship | [CEBIA-Tech LO1303]; [A2.4-ICT] | |
utb.ou | CEBIA-Tech | |
utb.contributor.internalauthor | Šaur, David | |
utb.contributor.internalauthor | Švejda, Jaromír | |
utb.contributor.internalauthor | Žák, Roman | |
utb.fulltext.affiliation | David Šaur, Jaromír Švejda, Roman Žák Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic {saur,svejda}@utb.cz | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | This work was supported by the project No. CEBIA-Tech LO1303, A2.4 –ICT for support of crisis management. | |
utb.wos.affiliation | [Saur, David; Svejda, Jaromir; Zak, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin, Czech Republic | |
utb.scopus.affiliation | Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic | |
utb.fulltext.projects | LO1303 | |
utb.fulltext.projects | A2.4 | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics | |
utb.fulltext.faculty | Faculty of Applied Informatics |