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Automated Techniques to Reduce Operator Workload at the Passive ASW and…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
75146
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
N051-045-0239
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive Suite 400, Reston Plaza Reston, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Automated Techniques to Reduce Operator Workload at the Passive ASW and Human-System Interface
Agency / Branch: DOD / NAVY
Contract: N65538-05-M-0104
Award Amount: $69,585.00
 

Abstract:

DD(X) will require reduced manning of the sonar watch stations to meet its goal of overall reduced manning. However, passive sonar analysis is manpower intensive, particularly in analysis of broadband, narrowband, and LOFAR data. We propose to utilize the technique of Case Based Reasoning to assist passive sonar operators. Case Based Reasoning fits this problem particularly well because, while passive sonar analysis is very experience dependent, subjective, and difficult to reduce to firm rules, there are many interpreted data cases available. This is the type of application for which Case Based Reasoning was developed. Case Based Reasoning operates by extracting from the case library cases most similar to the current data, evaluating those cases to determine how they fit the current data, and adapting the current data case into the case library. Case Based Reasoning is currently being used in a broad range of analysis-heavy applications such as medical diagnosis and mechanical diagnosis, so we consider this to be a very feasible approach.

Principal Investigator:

Eric Todd
Assistant Vice President
7037887774
etodd@plansys.com

Business Contact:

David M. Pickett
Vice President, North Group
7037887722
dpickett@plansys.com
Small Business Information at Submission:

PLANNING SYSTEMS, INC.
12030 Sunrise Valley Drive, Suite 400, Reston Plaz Reston, VA 20191

EIN/Tax ID: 520959900
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No