Holistic Analysis, Visualization, & Characterization Assessment Tool (HAVCAT)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,996.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
FA9550-07-C-0016
Award Id:
83306
Agency Tracking Number:
F064-031-0348
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
21ST CENTURY SYSTEMS, INC. (Currently 21st Century Systems, Incorporated)
12152 Windsor Hall Way, Herndon, VA, 20170
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
949183701
Principal Investigator:
Walter Kirkland
VP, Maritime Programs
(402) 502-8435
Walter.Kirkland@21csi.com
Business Contact:
Stuart Aldridge
VP, Deputy CTO
(402) 505-7887
stuart@21csi.com
Research Institution:
WRIGHT STATE UNIV.
William K Sellers
3640 Colonel Glenn Highway
Dayton, OH, 45435
(937) 775-2425
Nonprofit college or university
Abstract
In today's complex, multi-dimensional, coalition, effects-based campaigns; commanders must be able to "see" the situation in their decision making tasks. The modern fighting force is privy to an enormous array of intelligence gathering, database, and sensor sources of information to the point of over-saturation. Methods for visualizing the information in an intuitive manner must be established for the sake of our forces. The information must be presented in such a way that human attention is captured and maintained on the most critical aspects of the information. The visualization will need to adapt to the changing circumstances and show the most relevant information. The team of 21st Century systems, Incorporated and Wright State University is pleased to propose the development of a tool that will provide the visualization capability and decision support necessary to make the warfighters' use of information second to none. We call our concept Holistic Analysis, Visualization, & Characterization Assessment Tool (HAVCAT). We will be leveraging existing work in visualization techniques combined with cutting edge research into artificial reasoning and decision under uncertainty to design the data structures and architecture to dynamically adjust visualizations while remaining cognizant of the user's task.

* information listed above is at the time of submission.

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