Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction
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We describe three different dynamic data-driven applications systems (DDDAS): an empty house, a contaminant identification and tracking, and a wildland fire. Each has something in common with all of the rest and can use some common tools. Each DDDAS is quite complicated in comparison to a traditional static input simulation that is run with large numbers of inputs instead of one longer run that is self-correcting. © 2007 International Federation for Information Processing.
author list (cited authors)
Douglas, C. C., Bansal, D., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., ... Vodacek, A.