Automated Techniques to Reduce Operator Workload at the Passive ASW and Human-System Interface

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,585.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N65538-05-M-0104
Award Id:
75146
Agency Tracking Number:
N051-045-0239
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12030 Sunrise Valley Drive, Suite 400, Reston Plaz, Reston, VA, 20191
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
072651391
Principal Investigator:
Eric Todd
Assistant Vice President
(703) 788-7774
etodd@plansys.com
Business Contact:
David Pickett
Vice President, North Group
(703) 788-7722
dpickett@plansys.com
Research Institute:
n/a
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.

* information listed above is at the time of submission.

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