Separation Trajectory Analysis Tool (STAT)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9200-05-C-0187
Agency Tracking Number: F051-294-3306
Amount: $99,979.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-294
Solicitation Number: 2005.1
Small Business Information
1408 University Drive East, College Station, TX, 77840
DUNS: 555403328
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Satheesh Ramachandran
 Research Scientist II
 (979) 260-5274
Business Contact
 Donielle Mayer
Title: Business Operations Manager
Phone: (979) 260-5274
Research Institution
We propose to research, design and develop an innovative Separation Trajectory Analysis Tool (STAT) to address the technical challenges faced by a separation engineer while analyzing thousands of trajectories. The main goal of the tool is to aid the user in knowledge discovery and further analysis to determine separation problems for a store and their root causes. The tool will employ advance data mining algorithms related to clustering, classification, association to isolate problem areas in a separation of a store, display results graphically for visual interpretations allowing further exploration, and help in further analyses. Use of advance techniques such as Genetic Algorithms (GA) and Monte Carlo simulation for separation trajectory analysis has facilitated in generation of large amount of useful trajectories making this field data rich. Unfortunately the advances in data exploration and knowledge discovery have not been yet put into use for analyzing separation trajectories. Currently, there exists large potential to increase the efficiency and productivity of separation engineer by incorporating advance data mining techniques in the separation trajectory analysis. KBSI will leverage on its expertise in the knowledge engineering, data mining along with technical expertise in aerospace vehicles and dynamics. The combination of domain knowledge and knowledge background augurs well for the STAT project.

* Information listed above is at the time of submission. *

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