AWWA WSC67775 PDF

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On Contamination Source Identification with Imperfect Sensor Network
Conference Proceeding by American Water Works Association, 04/01/2008

Document Format: PDF

Description

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.

Product Details

Edition:
Vol. – No.
Published:
04/01/2008
Number of Pages:
21
File Size:
1 file , 1.2 MB
Note:
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