DocumentCode :
2222519
Title :
CORMS AI: continuous operational real-time monitoring system
Author :
Vafaie, Haleh ; Cecere, Carl
Author_Institution :
Northrop Grumman Inf. Technol. Inc., Bethesda, MD, USA
fYear :
2004
fDate :
15-17 Nov. 2004
Firstpage :
716
Lastpage :
720
Abstract :
Rule based reasoning and case based reasoning have emerged as two important and complementary reasoning methodologies in artificial intelligence (AI). We describe the approach for the development of CORMS AI, a decision support system which employs rule-based and case-based reasoning to assist National Ocean Service watch standing personnel in monitoring the quality of incoming and outgoing marine environmental data and information. CORMS AI has proven to be robust, extendable, and cost effective. It is estimated that CORMS AI save government over one million dollars per year when its full range of quality control monitoring capabilities is implemented.
Keywords :
case-based reasoning; decision support systems; knowledge based systems; learning (artificial intelligence); monitoring; oceanography; quality control; real-time systems; National Ocean Service; artificial intelligence; case based reasoning; continuous operational real-time monitoring system; decision support system; marine environmental data; quality control monitoring; rule based reasoning; Artificial intelligence; Costs; Decision support systems; Government; Monitoring; Oceans; Personnel; Real time systems; Robustness; Watches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2236-X
Type :
conf
DOI :
10.1109/ICTAI.2004.44
Filename :
1374259
Link To Document :
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