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

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

2 Citations (Scopus)

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages393-400
Number of pages8
Volume3993 LNCS - III
DOIs
StatePublished - 2006
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)03029743
ISSN (Electronic)16113349

Other

OtherICCS 2006: 6th International Conference on Computational Science
CountryUnited Kingdom
CityReading
Period5/28/065/31/06

Fingerprint

Technology Transfer
Mars
Private Sector
Oceans and Seas
Impurities
Water
Equipment and Supplies
Sensor
Sensors
Technology transfer
Ocean
Convert
Sector
Simulation Model
Sensing
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Douglas, C. C., Clay Harris, J., Iskandarani, M., Johnson, C. R., Lodder, R. J., Parker, S. G., ... Qin, G. (2006). Dynamic contaminant identification in water. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3993 LNCS - III, pp. 393-400). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3993 LNCS - III). https://doi.org/10.1007/11758532_53

Dynamic contaminant identification in water. / Douglas, Craig C.; Clay Harris, J.; Iskandarani, Mohamed; Johnson, Chris R.; Lodder, Robert J.; Parker, Steven G.; Cole, Martin J.; Ewing, Richard; Efendiev, Yalchin; Lazarov, Raytcho; Qin, Guan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3993 LNCS - III 2006. p. 393-400 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3993 LNCS - III).

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

Douglas, CC, Clay Harris, J, Iskandarani, M, Johnson, CR, Lodder, RJ, Parker, SG, Cole, MJ, Ewing, R, Efendiev, Y, Lazarov, R & Qin, G 2006, Dynamic contaminant identification in water. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3993 LNCS - III, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3993 LNCS - III, pp. 393-400, ICCS 2006: 6th International Conference on Computational Science, Reading, United Kingdom, 5/28/06. https://doi.org/10.1007/11758532_53
Douglas CC, Clay Harris J, Iskandarani M, Johnson CR, Lodder RJ, Parker SG et al. Dynamic contaminant identification in water. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3993 LNCS - III. 2006. p. 393-400. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11758532_53
Douglas, Craig C. ; Clay Harris, J. ; Iskandarani, Mohamed ; Johnson, Chris R. ; Lodder, Robert J. ; Parker, Steven G. ; Cole, Martin J. ; Ewing, Richard ; Efendiev, Yalchin ; Lazarov, Raytcho ; Qin, Guan. / Dynamic contaminant identification in water. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3993 LNCS - III 2006. pp. 393-400 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{a61a7443805e4c50993c7d152351e081,
title = "Dynamic contaminant identification in water",
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.",
author = "Douglas, {Craig C.} and {Clay Harris}, J. and Mohamed Iskandarani and Johnson, {Chris R.} and Lodder, {Robert J.} and Parker, {Steven G.} and Cole, {Martin J.} and Richard Ewing and Yalchin Efendiev and Raytcho Lazarov and Guan Qin",
year = "2006",
doi = "10.1007/11758532_53",
language = "English (US)",
isbn = "3540343830",
volume = "3993 LNCS - III",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "393--400",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Dynamic contaminant identification in water

AU - Douglas, Craig C.

AU - Clay Harris, J.

AU - Iskandarani, Mohamed

AU - Johnson, Chris R.

AU - Lodder, Robert J.

AU - Parker, Steven G.

AU - Cole, Martin J.

AU - Ewing, Richard

AU - Efendiev, Yalchin

AU - Lazarov, Raytcho

AU - Qin, Guan

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33746609717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33746609717&partnerID=8YFLogxK

U2 - 10.1007/11758532_53

DO - 10.1007/11758532_53

M3 - Conference contribution

SN - 3540343830

SN - 9783540343837

VL - 3993 LNCS - III

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 393

EP - 400

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -