Dynamic data-driven application systems for empty houses, contaminat tracking, and wildland fireline prediction Conference Paper uri icon

abstract

  • 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.

published proceedings

  • GRID-BASED PROBLEM SOLVING ENVIRONMENTS

author list (cited authors)

  • Douglas, C. C., Bansal, D., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., ... Vodacek, A.

citation count

  • 4

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

publication date

  • January 2007