Adaptive Fleet Synthetic Scenario Research Navy STTR FY2010.A Sol No.: Navy STTR FY2010.A Topic No.: N10A-T044 Topic Title: Adaptive Fleet Synthetic Scenario Research Proposal No.: N10A-044-0263 Firm: Sonalysts, Inc. 215 Parkway North P.O. Box 280 Waterford, Connecticut 06385 Contact: James McCarthy Phone: (860) 326-3792 Web Site: www.sonalysts.com Abstract: Together with our research institution partner, the University of Central Florida (UCF) Institute for Simulation and Training (IST), Sonalysts is pleased to submit this proposal to investigate the feasibility of creating a Service Oriented Architecture (SOA) framework for correlation and fusion algorithms that drive scenario generation across many information domains (communication, imagery, tracking, etc.) in order to minimize the need for manual scenario creation. Fundamentally, Sonalysts understands that this topic is about ensuring that Fleet Synthetic Training (FST) scenarios present sailors with the same depth of intelligence-generated platform, multi-source event, data, and information as real-world operations have. During Phase I, our team will lay the foundation for an SOA-based scenario generation service by defining the data architecture on which the scenario generation service will rest and by developing a concept of operations for that service. During the Phase I Option period, our team will begin the transition to a Phase II SOA scenario generation prototype by conducting a preliminary requirements analysis. During Phase II, Sonalysts and UCF IST will prototype the envisioned service. Benefits: The research areas to be examined in this Phase I STTR project will have a profound effect on Navy training efficiency and effectiveness in the future. As a direct result of current resource constraints, the Navy has placed a much greater emphasis on apportioning its training across the Live, Virtual, Constructive (LVC) spectrum. The ability to support the creation of realistic training scenarios under the control of different ownership domains and a variety of technologies will greatly improve both the quality and effectiveness of LVC training for the Navy. We believe that all DoD elements will be extremely interested in this novel solution to improve LVC training because it will be based on the SOA to which the DoD is moving, while concurrently it will provide access to data and information currently not found in LVC training. This application could not only be used by any branch of the DoD, but by other branches of the Federal Government (such as DHS) that requires training across many diverse organizations. Other military branches within the DoD, DHS, police departments, and first responder training represent additional potential applications within the Government. Return