Flood Detection Framework Fusing The Physical Sensing & Social Sensing

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dc.contributor.authorSingh, Neha
dc.contributor.authorBasnyat, Bipendra
dc.contributor.authorRoy, Nirmalya
dc.contributor.authorGangopadhyay, Aryya
dc.date.accessioned2021-02-15T17:28:56Z
dc.date.available2021-02-15T17:28:56Z
dc.date.issued2020-09
dc.description2020 IEEE International Conference on Smart Computing (SMARTCOMP), 14-17 Sept. 2020, IEEE, Bologna, Italyen_US
dc.description.abstractWe investigate the practical challenge of localized flood detection in real smart city environment using the fusion of physical sensor and social sensing models to depict a reliable and accurate flood monitoring and detection framework. Our proposed framework efficiently utilize the physical and social sensing models to provide the flood-related updates to the city officials. We deployed our flood monitoring system in Ellicott City, Maryland, USA and connect it to the social sensing module to perform the flood-related sensor and social data integration and analysis. Our ground-based sensor network model record and performs the predictive data analytic by forecasting the rise in water level (RMSE=0.2) that demonstrates the severity of upcoming flash floods whereas, our social sensing model helps collect and track the flood-related feeds from Twitter. We employ a pre-trained model and inductive transfer learning based approach to classify the flood-related tweets with 90% accuracy in the use of unseen target flood events. Finally our flood detection framework categorizes the flood relevant localized contextual details into more meaningful classes in order to help the emergency services and local authorities for effective decision making.en_US
dc.description.sponsorshipThis research is funded by the National Science Foundation (NSF) 1640625. I would like to thank Dr. Nirmalya Roy (advisor) and Dr. Aryya Gangopadhyay (co-advisor) for their continuous encouragement and feedback towards my research.en_US
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/9239657/authors#authorsen_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedings postprintsen_US
dc.identifierdoi:10.13016/m2nkqh-hsiz
dc.identifier.citationN. Singh, B. Basnyat, N. Roy and A. Gangopadhyay, "Flood Detection Framework Fusing The Physical Sensing & Social Sensing," 2020 IEEE International Conference on Smart Computing (SMARTCOMP), Bologna, Italy, 2020, pp. 374-379, doi: 10.1109/SMARTCOMP50058.2020.00080.en_US
dc.identifier.urihttps://doi.org/10.1109/SMARTCOMP50058.2020.00080
dc.identifier.urihttp://hdl.handle.net/11603/21013
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.titleFlood Detection Framework Fusing The Physical Sensing & Social Sensingen_US
dc.typeTexten_US

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