Matlab Data Mining Toolbox for Store Separation Engineering

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9200-05-C-0186
Agency Tracking Number: F051-294-1753
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solitcitation Year: 2005
Solitcitation Topic Code: AF05-294
Solitcitation Number: 2005.1
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
Duns: 859244204
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Ssu-Hsin Yu
 Group Leader
 (781) 933-5355
Business Contact
 Raman Mehra
Title: President and CEO
Phone: (781) 933-5355
Research Institution
The overall objective of our effort is to develop a Matlab toolbox that assists store separation engineers in analyzing datasets generated by the Monte Carlo simulations and the genetic algorithms using the statistical data mining approach, Bayesian learning, and multi-objective GA optimization. The statistical data mining approach not only provides a theoretically rigorous framework to analyze the data but it also makes interpretation of the results much more straightforward. The particular tasks to be conducted under this effort include (1) development of clustering algorithm functions, (2) development of statistical analysis tools for simulation and test data, (3) development of learning tools to adapt Monte Carlo results to flight test data, and (4) development of genetic algorithms for multi-objective optimization. The project team consists of Scientific Systems Company, Inc. (SSCI) as the prime contractor, and Dr. Robert Smith of The University of the West of England and Dr. Luis Roman of Worcester Polytechnic Institute as our consultants.

* information listed above is at the time of submission.

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