Dynamic data-driven application systems for empty houses, contaminat tracking, and wildland fireline prediction
Additional Document Info
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.
Douglas, C. C., Bansal, D., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., ... Vodacek, A.
complete list of authors
Douglas, Craig C||Bansal, Divya||Beezley, Jonathan D||Bennethum, Lynn S||Chakraborty, Soham||Coen, Janice L||Efendiev, Yalchin||Ewing, Richard E||Hatcher, Jay||Iskandarani, Mohamed||Johnson, Christopher R||Li, Deng||Kim, Minjeong||Lodder, Robert A||Mandel, Jan||Qin, Guan||Vodacek, Anthony