This powerpoint presentation presents research that studies the impacts of imperfect sensor measurements (falsepositive/negative readings) on the contamination source identification.A probabilistic approach based on Bayes' theorem is applied to estimate theprobability of a contamination source.It can be implemented in real time and it is computationally efficient.A metric is proposed to evaluate the performance of the algorithm (accuracy andspecificity). Includes 3 references, figures.
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Edition: Vol. - No. Published: 04/01/2008 Number of Pages: 21File Size: 1 file , 1.2 MB