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dc.contributor.authorAlves, Ana Oliveiraes_ES
dc.contributor.authorDias, Tiagoes_ES
dc.contributor.authorSilva, Davides_ES
dc.date.accessioned2016-06-08T08:42:42Z
dc.date.available2016-06-08T08:42:42Z
dc.date.issued2015-05-10es_ES
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4 (2015)es_ES
dc.identifier.issn2255-2863es_ES
dc.identifier.urihttp://hdl.handle.net/10366/129347
dc.description.abstractWe present a project implemented on the field which has two separate strands, one refers on collecting crowd sensing data through mobile apps where context is (near) automatically induced, another is related to a practical application of this method in a real time system to manage solidarity campaigns in collecting goods. Here, we cover both parts, we applied an experimental setup and obtained results and insights in a third sector institution, Caritas Diocesana of Coimbra[1], a non-profit organization part of Caritas[2]. As main contribution, we propose a distributed architecture for Mobile Crowd Sensing able not only to allow real time inventory through simultaneous campaigns but also it gives feedback to volunteers in order to instantly acquire information about which categories of goods are more needed[1] http://www.caritas.pt/site/nacional/ Portuguese Website (last visited in October 2015)/n[2] http://www.caritas.eu/ (last visited in October 2015)es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherEdiciones Universidad de Salamanca (España)es_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputaciónes_ES
dc.subjectInformáticaes_ES
dc.subjectComputinges_ES
dc.subjectInformation Technologyes_ES
dc.titleA Real-Time, Distributed and Context-Aware System for Managing Solidarity Campaigns
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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