Probabilistic Evidential Reasoning for Collecting Signals Intelligence Data

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$703,041.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
W15P7T-09-C-S002
Agency Tracking Number:
A072-106-1143
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
MANAGEMENT SCIENCES, INC.
6022 Constitution Avenue NE, Albuquerque, NM, 87110
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
094142122
Principal Investigator:
Carl Stern
Senior Research Scientist
(505) 255-8611
carl_stern@mgtsciences.com
Business Contact:
Marlene Blemel
President
(505) 255-8611
kay_blemel@mgtsciences.com
Research Institution:
n/a
Abstract
The goal of this project is to develop a scalable software platform for SigInt collection management and data fusion. This platform will help provide SigInt analysts and users with effective access to the right information at the right time while helping to reduce information overload. The platform is designed to support a cognitive style of information processing and data fusion. The computational methods are cognitive in the sense that they implement a logico-mathematical process that is flexible, context sensitive, and hypothesis-driven, emulating the way in which human experts assimilate and interpret arriving data, progressively transforming data into information and understanding, while gracefully adapting or revising old hypotheses as needed based on newly detected events and conditions. The platform uses information framing and multi-layer fusion to organize collected information, to group, filter, and fuse signals intelligence data, and to organize the presentation of data to users and analysts. The framing and fusion algorithms provided by this toolset will be used to support the work and enhance the effectiveness of SIGINT analysts as they assess the relationships between detection events to discover patterns and trends, improving the accuracy and efficiency of analyst detection, identification, and geo-location of emerging threats.

* information listed above is at the time of submission.

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