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Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/72270
DC FieldValueLanguage
dc.contributor.authorMartiń-Pulido, Eduardoen_US
dc.contributor.authorQuesada-Arencibia, Alexisen_US
dc.contributor.authorGarcía, Carmelo R.en_US
dc.date.accessioned2020-05-11T20:59:52Z-
dc.date.available2020-05-11T20:59:52Z-
dc.date.issued2013en_US
dc.identifier.isbn978-3-319-03175-0en_US
dc.identifier.issn0302-9743en_US
dc.identifier.otherScopus-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/72270-
dc.description.abstractThis paper presents the development of a pervasive system prototype for the Local Tow-Truck service. This system makes it possible to video, process, store and transfer each service carried out by the company with any of the tow-trucks in its fleet. The data are administered by the tow-truck operators by means of mobile devices and are temporarily stored in a system on board the tow-truck in question. On arrival at their base, these data are automatically transferred to a common repository, which can be accessed from the offices of the central municipal vehicle pound. The aim of this system is to enable the Local Tow-Truck Service to certify the quality and safety of each transfer and guarantee the state of the transported vehicle at all times, and thereby to respond to any potential claims.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 8276 LNCS, p. 350-357, (Diciembre 2013)en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject332907 Transporteen_US
dc.subject.otherIntelligent transport systemsen_US
dc.subject.otherPervasive systemsen_US
dc.titlePervasive system for the local tow-truck serviceen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference7th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2013en_US
dc.identifier.doi10.1007/978-3-319-03176-7_45en_US
dc.identifier.scopus84893127739-
dc.contributor.authorscopusid56017608100-
dc.contributor.authorscopusid13006053800-
dc.contributor.authorscopusid7401486323-
dc.identifier.eissn1611-3349-
dc.description.lastpage357en_US
dc.description.firstpage350en_US
dc.relation.volume8276en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-3-319-03176-7-
dc.utils.revisionSíen_US
dc.date.coverdateDiciembre 2013en_US
dc.identifier.conferenceidevents121499-
dc.identifier.ulpgcSíes
dc.description.sjr0,329
dc.description.sjrqQ3
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8313-5124-
crisitem.author.orcid0000-0003-1433-3730-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameQuesada Arencibia, Francisco Alexis-
crisitem.author.fullNameGarcía Rodríguez, Carmelo Rubén-
crisitem.event.eventsstartdate02-12-2013-
crisitem.event.eventsenddate06-12-2013-
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