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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
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). Springer Verlag. https://doi.org/10.1007/11758532_53
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