An Adaptive Data Fusion and Analysis System

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,938.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N00421-04-P-0573
Award Id:
69939
Agency Tracking Number:
N041-016-0946
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
AMERICAN GNC CORP. (Currently American GNC Corporation)
888 Easy Street, Simi Valley, CA, 93065
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
611466855
Principal Investigator:
Tasso Politopoulos
Chief Scientist
(805) 582-0582
tpolito@americangnc.com
Business Contact:
Sandee Baker
sbaker@americangnc.com
(805) 582-0582
sbaker@americangnc.com
Research Institution:
n/a
Abstract
This project develops an adaptive data fusion and analysis system to intelligently process, analyze, combine, and abstract useful knowledge from heterogeneous test data sources aboard aircraft/ship by integrating evidence theory, fuzzy logic, plausible reasoning, and dynamic probabilistic networks. Evidence theory serves as a rule induction and knowledge extraction process. A fuzzy clustering procedure extracts information from the original data sources. A plausible reasoning module permits the synthesis of knowledge acquired from different sources and performs causal inference processes to enhance decision aid processes. Dynamic probabilistic networks serve to maintain and update the belief state over time, providing update information for optimal decision making. The proposed intelligent information fusion and analysis system not only takes advantage of innovative individual methodologies but also, more significantly, emphasizes the synergism among all subsystems to assure the overall performance of the information fusion and analysis system. The end product is a commercial software package, An Adaptive Data Fusion and Analysis System, which will dramatically increase the productivity of organizations involved in data management, data mining, data fusion and analysis, and structure and pattern extraction from huge databases of test aboard aircraft/ship. The effectiveness of the proposed techniques is demonstrated on a fully integrated prototype module at the end of Phase I.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government