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 contributionpeer-review

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
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 - 2007
Externally publishedYes

Publication series

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

Cite this