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.
Please use the following format when citing this chapter: Douglas, C. C., Bansal, D., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., Efendiev, Y., Ewing, R. E., Hatcher J. Iskandarani, M., Johnson, C. R., Li, D., Kim, M., Lodder, R., Mandel, J., Qin, G., Vodacek, A., 2007, in IFIP International Federation for Information Processing, Volume 239, Grid-Based Problem Solving Environments, eds. Gaffney, P. W., Pool. J.C.T., (Boston: Springer), pp. 255–272.
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Douglas, C.C. et al. (2007). Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction. In: Gaffney, P.W., Pool, J.C.T. (eds) Grid-Based Problem Solving Environments. IFIP The International Federation for Information Processing, vol 239. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73659-4_14
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DOI: https://doi.org/10.1007/978-0-387-73659-4_14
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