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- W2033602307 abstract "To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration." @default.
- W2033602307 created "2016-06-24" @default.
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- W2033602307 date "2009-06-01" @default.
- W2033602307 modified "2023-09-26" @default.
- W2033602307 title "Identification of Contaminant Source Characters Based on Finite Sensor Message" @default.
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- W2033602307 doi "https://doi.org/10.1109/icbbe.2009.5162919" @default.
- W2033602307 hasPublicationYear "2009" @default.
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