USA flag logo/image

An Official Website of the United States Government

An Adaptive Data Fusion and Analysis System

Award Information

Department of Defense
Award ID:
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
American GNC Corporation
888 Easy Street Simi Valley, CA 93065-1812
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
Phase 1
Fiscal Year: 2004
Title: An Adaptive Data Fusion and Analysis System
Agency / Branch: DOD / NAVY
Contract: N00421-04-P-0573
Award Amount: $69,938.00


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.

Principal Investigator:

Tasso Politopoulos
Chief Scientist

Business Contact:

Sandee Baker
Small Business Information at Submission:

888 Easy Street Simi Valley, CA 93065

EIN/Tax ID: 911320359
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No