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Design of the civil protection data model for smart cities

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dc.title Design of the civil protection data model for smart cities en
dc.contributor.author Rak, Jakub
dc.contributor.author Svoboda (FLKŘ), Petr
dc.contributor.author Vičar, Dušan
dc.contributor.author Mička, Jan
dc.contributor.author Bálint, Tomáš
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030215064
dc.date.issued 2019
utb.relation.volume 574
dc.citation.spage 348
dc.citation.epage 353
dc.event.title 3rd International Conference on Applied Physics, System Science and Computers, APSAC 2018
dc.event.location Dubrovnik
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.event.sdate 2018-09-26
dc.event.edate 2018-09-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-21507-1_48
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-21507-1_48
dc.subject Civil protection en
dc.subject Data model en
dc.subject Databases en
dc.subject Smart cities en
dc.description.abstract This article describes the design of a data model for the purposes of civil protection. In order to design the data model, an E-R diagram is used and processed in the draw.io editor. The data model is designed using scientific methods of analysis, observation, abstraction, and especially modeling. Not only these methods serve to identify the key entities and their attributes, but they are also used to create the conceptual and logical data scheme. Individual entities and their attributes are subsequently entered into the E-R diagram and they form a conceptual data scheme of the civil protection data model. In addition, the article outlines a logical data scheme of the civil protection data model in which the formats of individual entities and attributes are indicated. Finally, the article evaluates the applicability of the designed data model and suggests other areas of research associated with its direct application to selected cities. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Logistics and Crisis Management
dc.identifier.uri http://hdl.handle.net/10563/1008966
utb.identifier.obdid 43880639
utb.identifier.scopus 2-s2.0-85068607322
utb.source d-scopus
dc.date.accessioned 2019-08-16T09:30:13Z
dc.date.available 2019-08-16T09:30:13Z
utb.contributor.internalauthor Rak, Jakub
utb.contributor.internalauthor Svoboda (FLKŘ), Petr
utb.contributor.internalauthor Vičar, Dušan
utb.contributor.internalauthor Mička, Jan
utb.contributor.internalauthor Bálint, Tomáš
utb.fulltext.sponsorship This paper is supported by the Internal Grant Agency at Tomas Bata University in Zlín, projects No. IGA/FLKR/2017/003; and No. IGA/FLKŘ/2018/001.
utb.scopus.affiliation Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic
utb.fulltext.projects IGA/FLKR/2017/003
utb.fulltext.projects IGA/FLKŘ/2018/001
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