Dynamic data-driven application systems for empty houses, contaminant tracking, and wildland fireline prediction

Craig C. Douglas, Divya Bansal, Jonathan D. Beezley, Lynn S. Bennethum, Soham Chakraborty, Janice L. Coen, Yalchin Efendiev, Richard E. Ewing, Jay Hatcher, Mohamed Iskandarani, Christopher R. Johnson, Deng Li, Minjeong Kim, Robert A. Lodder, Jan Mandel, Guan Qin, Anthony Vodacek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationGrid-Based Problem Solving Environments
Subtitle of host publicationIFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software
EditorsPatrick W. Gaffney, James C.T. Pool
Pages255-272
Number of pages18
DOIs
StatePublished - Dec 3 2007

Publication series

NameIFIP International Federation for Information Processing
Volume239
ISSN (Print)1571-5736

ASJC Scopus subject areas

  • Information Systems and Management

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    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. A., Mandel, J., Qin, G., & Vodacek, A. (2007). Dynamic data-driven application systems for empty houses, contaminant tracking, and wildland fireline prediction. In P. W. Gaffney, & J. C. T. Pool (Eds.), Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software (pp. 255-272). (IFIP International Federation for Information Processing; Vol. 239). https://doi.org/10.1007/978-0-387-73659-4_14