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Matlab Data Mining Toolbox for Store Separation Engineering

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
73292
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
F051-294-1753
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000 Woburn, MA 01801-6562
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Matlab Data Mining Toolbox for Store Separation Engineering
Agency / Branch: DOD / USAF
Contract: FA9200-05-C-0186
Award Amount: $100,000.00
 

Abstract:

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.

Principal Investigator:

Ssu-Hsin Yu
Group Leader
7819335355
syu@ssci.com

Business Contact:

Raman K. Mehra
President and CEO
7819335355
rkm@ssci.com
Small Business Information at Submission:

SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park - Ste 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No