CYANIDE is a customizable environment for developing, testing, and deploying out-of-brand sensing, monitoring, and recovery technologies for the cyber defense of information and sensor networks.
The E3SAT tool suite allows researchers to collect, integrate, and data mine medical records, environmental exposures, and deployment locations. This provides an encompassing data view of soldier health in the military healthcare system and enables studies of environmental, epidemiological, and etiological factors driving the system.
In the aftermath of Desert Shield and Desert Storm, researchers have struggled with explaining the array of serious health impairing symptoms that have become collectively known as Gulf War Syndrome. Approximately 30 percent of the 700,000 U.S. servicemen and servicewomen in the first Persian Gulf War have registered in the Gulf War Illness database complaining of these symptoms. A key stumbling block in researching Gulf War Syndrome is the absence of a means for integrating relevant data—soldier medical records, environmental health and surveillance data, deployment data—and discovering and analyzing to discover patterns and correlations between deployment exposures and soldier signs, symptoms, and potential causes.
The ATPD technology is combining new machine learning techniques with advanced rule based methods for automated data utilization pattern discovery. The technology allows users to monitor information use, discover use patterns, and develop ontology models of these relations and patterns.
This capability enables users to monitor information use across systems, discover usage patterns, analyze patterns for potential new (and useful) concepts and relations, and offer intelligent assistance to enterprise knowledge modelers about the integration of newly learned concepts into evolving reference knowledge models.
HI-FIVE is a novel model-based, “no-programming required” approach to information visualization. The tool provides an extendible framework for rapidly developing, configuring, and managing data displays, enabling you to better understand “system of systems” data.
An important challenge for any enterprise, particularly one as large as the Department of Defense, is making the most of your data: how to achieve true enterprise information integration in a manner that enables access to data from multiple, often divergent domains. In meeting this challenge, the DoD is integrating new and legacy systems into federated “systems of systems.” Such an approach necessitates that data from these multiple domains also be integrated—i.e., actionable across all domains—and that it be flexible enough to be used in many, unanticipated ways.
FIEA is a language, tool framework, and methodology that enables the Air Force and DoD to share data among the many vendor specific tools and applications used in global joint service and multinational operations.
These tools, at best, provide a means for government agencies and their contractors to document their enterprise architectures: they don’t facilitate the model-based analysis of architectures, a critical step in improving systems capability, acquisition, and investment returns.