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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-044-0725 |
| Firm: |
KAB LABORATORIES INC.
1110 Rosecrans Street, #203
San Diego, California 92106 |
| Contact: |
John Helewa |
| Phone: |
(619) 523-1763 |
| Web Site: |
www.kablab.com |
| Abstract: |
Synthetic scenario-based training of Navy personnel in the use of Navy
SIGINT/IO systems has helped to reduce training costs, and it has enabled
the personnel to be trained in an environment that sufficiently approximates
real-world situations that could not otherwise be accomplished within the
class room. However, scenario development is highly complex and involves a
great deal of human effort and domain knowledge, discouraging the
modification of existing scenarios to keep them current in an ever-changing
threat environment. This problem is exacerbated when the scenario represents
a combination of multiple data sources. The proposed research will show that
the use of static models and companion correlation modules during scenario
creation will reduce the complexity of scenario development and reduce the
domain knowledge required. Static models can be devised to encapsulate
domain knowledge for a particular data source, and correlation can be used
to fuse the output from each static model to produce a cohesive scenario. To
enable autonomic generation and regeneration of multi-source scenarios, the
proposed research will also address service composibility and data
heterogeneity among the participating static models and correlation modules.
Finally, the proposed research will investigate human-computer interfaces
for guiding the scenario developer through the autonomic process.
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| Benefits: |
Scenario based training through virtual simulation and virtual stimulation has wide marketability. Any sophisticated computer-based system can benefit from scenario-based training. Scenario-based training is especially important for systems that are involved in life and death situations such as first responder incident management systems, critical infrastructure systems such as harbor security and traffic management systems, and national security systems such as DoD systems and border patrol systems.
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