Dynamic contaminant identification in water

Craig C. Douglas*, J. Clay Harris, Mohamed Iskandarani, Chris R. Johnson, Robert J. Lodder, Steven G. Parker, Martin J. Cole, Richard Ewing, Yalchin Efendiev, Raytcho Lazarov, Guan Qin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We describe how we plan to convert a traditional data collection sensor and ocean model into a DDDAS enabled system for identifying contaminants and then reacting with different models, simulations, and sensing strategies in a symbiotic manner. The sensor is just as useful in water as it would be on Mars for material identification. A successful terrestrial application of the sensor will lead to many new applications of the device and possible technology transfer to the private sector.

Original languageEnglish (US)
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
PublisherSpringer Verlag
Pages393-400
Number of pages8
ISBN (Print)3540343830, 9783540343837
DOIs
StatePublished - 2006
Externally publishedYes
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: May 28 2006May 31 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3993 LNCS - III
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCS 2006: 6th International Conference on Computational Science
Country/TerritoryUnited Kingdom
CityReading
Period05/28/0605/31/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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