Novel Integrated Software Tool for Feature Selection and Data Visualization

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ00603C0081
Agency Tracking Number: 031-1136
Amount: $69,997.00
Phase: Phase I
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
EAST WEST ENTERPRISES, INC.
524 JORDAN LANE, HUNTSVILLE, AL, 35805
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Paul Cox
 Senior Scientist
 (256) 534-4782
 coxnp@mindspring.com
Business Contact
 Ramarao Inguva
Title: President
Phone: (256) 534-4782
Email: rama@ewe2000.com
Research Institution
N/A
Abstract
Data analysis and feature selection for discrimination are, for the most part, very manual and time consuming tasks which are non-optimized. While an experienced algorithm developer will have reasonably good success in the selection of robust features, itis impossible to manually analyze the many sets of actual test and simulated data and select the truly optimal set of features for discrimination. The process requires the algorithm developer to spend weeks or months in the analysis/selection of features.Another challenge is the viewing/analysis of multidimensional features simultaneously. Standard visualization techniques include scatter plots and histogram mapping are dimensionally limited. There is an inherent need to quickly process large sets ofmultidimensional data/features (across a wide range of scenarios, lethal, non-lethal, and countermeasures) and automatically select the optimum set of features. EWE proposes a unique software tool for data analysis, feature selection, andvisualization. This integrated tool will allow the algorithm developer to process a wide range of data sets (visible, infrared, radar, ladar); incorporate classical and modern techniques for feature selection/clustering; and provide a variety ofvisualization options and will directly translate into a more robust discrimination algorithm with improved performance. The technology proposed here will have wide range of applications for all projects involving feature selection and discrimination in Government as well as private commercial sector. Potential DOD applications include, project Hercules, THAAD, GMD.

* information listed above is at the time of submission.

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