Time Variation of Workflow Processes to Confound Enemy Proactivity

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$729,926.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
W15P7T-11-C-A810
Award Id:
n/a
Agency Tracking Number:
A2-4069
Solicitation Year:
2008
Solicitation Topic Code:
A08-167
Solicitation Number:
2008.3
Small Business Information
7001 Shallowford Road, Chattanooga, TN, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
194646782
Principal Investigator:
ChadwickCox
Principal Investigator
(423) 894-4646
ccox@accurate-automation.com
Business Contact:
RogerBailey
CFO
(423) 894-4646
rogerdalebailey@netzero.net
Research Institute:
Stub




Abstract
Accurate Automation Corporation (AAC) proposes to develop two useful software tools for the Distributed Common Ground Control Station (DCGS). These tools will help the analyst build more useful products for her customers. AAC will address opportunities for growth within the spectrum of DCGS capabilities. First, AAC will develop a software tool to aid multi-intelligence Verification and Validation (V & V). Second, AAC will address issues of behavioral predictability by applying a novel method that we developed during Phase I. This second tool will 1) identify predictors within enemy behavior, and 2) allow the analyst to assist battlefield planners with eliminating predictability from their Courses of Action (COA). The V & V tool will focus on the PRODUCE step of the intelligence process and the cryptic behavior analysis tool will focus on the ANALYZE step. These tools will support situational understanding and Intelligence, Surveillance, and Reconnaissance (ISR) at the middle to lower echelons by integrating organic and local intelligence sources. Both tools are responses to battlefield commanders"requests for intelligence systems that work despite connectivity losses to higher echelons and to distant databases. To this end, AAC will host the tools on a Basic Analyst"s Laptop (BAL) and will perform a demonstration using a small unmanned vehicle as an organic data source.

* information listed above is at the time of submission.

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