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ucin1155777781.pdf (1.17 MB)
ETD Abstract Container
Abstract Header
PERFORMANCE EVALUATION OF REAL-TIME EVENT DETECTION ALGORITHMS
Author Info
UMBERG, KATHERINE A
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155777781
Abstract Details
Year and Degree
2006, MS, University of Cincinnati, Engineering : Computer Science.
Abstract
Recent terrorist attacks have focused attention on the safety of water distribution systems. Since it is implausible to protect these networks from contamination, a Contamination Warning System (CWS) is needed to detect contamination so that attacks can be contained. A CWS consists of several interrelated components, including a network of sensors, methods for collecting and analyzing their data, and response procedures for abnormal conditions. Effective sensor data analysis is essential for successful CWS’s: even perfect sensors in ideal locations are useless unless their data is effectively processed and utilized. This requires analysis of large amounts of imperfect water quality sensor data to distinguish between normal water quality variability and that due to a foreign substance. This work proposes an objective, realistic experimental testbed for evaluating contamination detection algorithms. It can begin a recursive process of algorithm testing and refinement, culminating when a sufficiently accurate and reliable algorithm is developed.
Committee
Dr. Carla Purdy (Advisor)
Pages
210 p.
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Citations
UMBERG, K. A. (2006).
PERFORMANCE EVALUATION OF REAL-TIME EVENT DETECTION ALGORITHMS
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155777781
APA Style (7th edition)
UMBERG, KATHERINE.
PERFORMANCE EVALUATION OF REAL-TIME EVENT DETECTION ALGORITHMS.
2006. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155777781.
MLA Style (8th edition)
UMBERG, KATHERINE. "PERFORMANCE EVALUATION OF REAL-TIME EVENT DETECTION ALGORITHMS." Master's thesis, University of Cincinnati, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155777781
Chicago Manual of Style (17th edition)
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Document number:
ucin1155777781
Download Count:
915
Copyright Info
© 2006, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.