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Uncertainty Characterization Using Copulas (UC)2

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-15-C-7406
Agency Tracking Number: B2-2146
Amount: $993,898.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA13-T001
Solicitation Number: 2013.2
Solicitation Year: 2013
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-21
Award End Date (Contract End Date): 2017-09-20
Small Business Information
1 Van de Graaff Drive Suite 107
Burlington, MA 01803
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Tom Allen
 (617) 583-5730
Business Contact
 Kendra Moore
Title: Dr.
Phone: (617) 583-5730
Research Institution
 Syracuse University
 Mary Ellen Gilbert
113 Bowne Hall
Syracuse, NY 13244
United States

 (315) 443-1121
 Domestic Nonprofit Research Organization

Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis, along with algorithms and software that will accurately characterize uncertainties associated with different sensor outputs. (UC)2 will naturally lead to (1) a better understanding of both the performance and the limits of the underlying fusion architecture; (2) new and enhanced fusion algorithms with optimal or near-optimal performance under realistic operating conditions; and (3) recommendations for sensor or feature selection under system resource constraints. In Phase I, we developed the initial framework and demonstrated the feasibility of (UC)2 on real data. In Phase II, we will demonstrate the performance of the proposed approach via a high-fidelity testbed environment, reflecting the operational system requirements. Approved for Public Release, 15-MDA-8303 (1 July 15)

* Information listed above is at the time of submission. *

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