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Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals

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Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals

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dc.contributor.author Vaño, Rafael es_ES
dc.contributor.author Lacalle, Ignacio es_ES
dc.contributor.author Molina Moreno, Benjamin es_ES
dc.contributor.author Palau Salvador, Carlos Enrique es_ES
dc.date.accessioned 2023-01-13T07:22:00Z
dc.date.available 2023-01-13T07:22:00Z
dc.date.issued 2021-07-31 es_ES
dc.identifier.isbn 978-1-6654-4431-6 es_ES
dc.identifier.uri http://hdl.handle.net/10251/191293
dc.description.abstract [EN] Social distance restrictions have posed several challenges for the management of logistic nodes even in open spaces like a maritime port terminal. The Internet of Things combined with the simulation of supply chains provide the perfect breeding ground for devising innovative tools to help ports observe those restrictions. The objective of this paper is to devise such a tool based on research open results, proposing a clear architecture and use-case to be leveraged by maritime ports. Internet of Things techniques such as gathering heterogeneous data through a context broker, managing the Big Data generated and applying innovative models over that data set the foundations of the proposed system. The actual tool has been achieved as a result, together with a clear plan on future works that may build upon it. es_ES
dc.description.sponsorship This work is part of the PIXEL project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 769355. es_ES
dc.language Inglés es_ES
dc.publisher IEEE es_ES
dc.relation.ispartof The 2021 IEEE 7th World Forum on Internet of Things (WF-IoT) conference proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Architecture es_ES
dc.subject COVID-19 es_ES
dc.subject Density es_ES
dc.subject Internet of Things es_ES
dc.subject Monitoring es_ES
dc.subject Port terminal es_ES
dc.subject Real-time es_ES
dc.subject Supply chain es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1109/WF-IoT51360.2021.9595919 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/769355/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Vaño, R.; Lacalle, I.; Molina Moreno, B.; Palau Salvador, CE. (2021). Leveraging IoT and prediction techniques to monitor COVID-19 restrictions in port terminals. IEEE. 205-210. https://doi.org/10.1109/WF-IoT51360.2021.9595919 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename IEEE 7th World Forum on Internet of Things (WF-IoT 2021) es_ES
dc.relation.conferencedate Junio 14-Julio 31,2021 es_ES
dc.relation.conferenceplace New Orleans, USA es_ES
dc.relation.publisherversion https://doi.org/10.1109/WF-IoT51360.2021.9595919 es_ES
dc.description.upvformatpinicio 205 es_ES
dc.description.upvformatpfin 210 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\451218 es_ES


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