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dc.contributor.authorHernández, Alejandro
dc.contributor.authorÁlvarez León, David
dc.contributor.authorAsensio Sevilla, María Isabel 
dc.contributor.authorRodríguez, Sara
dc.date.accessioned2024-01-12T10:14:37Z
dc.date.available2024-01-12T10:14:37Z
dc.date.issued2020
dc.identifier.citationHérnández, A., Álvarez, D., Asensio, M.I., Rodríguez, S. (2020). Mobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Model. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_29es_ES
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10366/154170
dc.description.abstract[EN]This article presents the design and implementation of a new visualization system for mobile platforms for the PhyFire-HDWind fire simulation model, called AppPhyFire. It proposes a mobile computing infrastructure, based on ArcGIS Server and REST architecture, which improves the user experience in actions associated with the fire simulation process. The PhyFire-HDWind model, of which the system presented here forms part, is a forest fire propagation simulation tool developed by the SINUMCC research group of the University of Salamanca, based on two own simplified physical models, the PhyFire physical fire propagation model, and the HDWind high definition wind field model, resolved using efficient numerical and computational tools and parallel computing, allowing simulation times shorter than the real time fire propagation, integrated into a Geographical Information System, and accessible through a server by the AppPhyFire. The system presented in this article allows a quick visualization of simulations results in mobile devices. This work presents the detailed operation of the system and its phases of operation.es_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSimulationes_ES
dc.subjectMobile architecturees_ES
dc.subjectPrediction modelses_ES
dc.subjectPhyFirees_ES
dc.subjectHDWindes_ES
dc.titleMobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://link.springer.com/chapter/10.1007/978-3-030-20055-8_29#Ack1es_ES
dc.subject.unesco1203.26 Simulaciónes_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-20055-8_29
dc.relation.projectIDSA020U16es_ES
dc.relation.projectIDPROTOTIPOS TCUE 2017-18es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2194-5365
dc.journal.title14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)es_ES
dc.volume.number950es_ES
dc.page.initial301es_ES
dc.page.final310es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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