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.
CITATION STYLE
Douglas, C. C., Bansal, D., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., … Vodacek, A. (2007). Dynamic data-driven application systems for empty houses, contaminant tracking, and wildland fireline prediction. In IFIP International Federation for Information Processing (Vol. 239, pp. 255–272). https://doi.org/10.1007/978-0-387-73659-4_14
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