DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seok, Joon-Hong | ko |
dc.contributor.author | Lee, Su-Jin | ko |
dc.contributor.author | Choi, Han-Lim | ko |
dc.date.accessioned | 2023-11-08T10:01:01Z | - |
dc.date.available | 2023-11-08T10:01:01Z | - |
dc.date.created | 2023-11-08 | - |
dc.date.issued | 2014-11 | - |
dc.identifier.citation | 1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, pp.182 - 194 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10203/314444 | - |
dc.description.abstract | This paper presents contaminant source localization and characterization in a sensor-rich multi-story building with a large-scale domain. Bayesian framework infers the posterior distribution of source location and characteristics from the sensor network with the model uncertainty and inaccurate prior knowledge. A Markov Chain Monte Carlo method with a Metropolis-Hastings algorithm provides samples extracted from the posterior distribution. A computationally efficient Gaussian process emulator allows Markove Chain Monte Carlo sampling to use a physics-based model with tractable computational cost and time. The posterior distribution obtained by the proposed method through hypothetical contaminant release in a four-story building with total 156 subzones and sensors approaches true values of parameters of interest closely and shows the efficacy for parameter inference in a large-scale domain. | - |
dc.language | English | - |
dc.publisher | Springer Verlag | - |
dc.title | A gaussian process-enabled MCMC approach for contaminant source characterization in a sensor-rich multi-story building | - |
dc.type | Conference | - |
dc.identifier.wosid | 000373824200017 | - |
dc.identifier.scopusid | 2-s2.0-84951797884 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 182 | - |
dc.citation.endingpage | 194 | - |
dc.citation.publicationname | 1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Cambridge, MA | - |
dc.identifier.doi | 10.1007/978-3-319-25138-7_17 | - |
dc.contributor.localauthor | Choi, Han-Lim | - |
dc.contributor.nonIdAuthor | Lee, Su-Jin | - |
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