Separation Trajectory Analysis Tool (STAT)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,979.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
FA9200-05-C-0187
Award Id:
73290
Agency Tracking Number:
F051-294-3306
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Satheesh Ramachandran
Research Scientist II
(979) 260-5274
sramachandran@kbsi.com
Business Contact:
Donielle Mayer
Business Operations Manager
(979) 260-5274
dmayer@kbsi.com
Research Institution:
n/a
Abstract
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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