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

Producción científica: Conference contributionrevisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaComputational Science - ICCS 2006
Subtítulo de la publicación alojada6th International Conference, Proceedings
Páginas393-400
Número de páginas8
DOI
EstadoPublished - 2006
EventoICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duración: may 28 2006may 31 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen3993 LNCS - III
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conference

ConferenceICCS 2006: 6th International Conference on Computational Science
País/TerritorioUnited Kingdom
CiudadReading
Período5/28/065/31/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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