Topic Information Award/Contract Number Proposal Information Company Performance

Mapping of Long-term Threats, Vulnerabilities, and Impacts

HSHQDC0800079 0811216
(FY08.1 Phase I)
Current Event - Future Outcome (CEFO) Predictive Framework

High Performance Technologies, Inc.
11955 Freedom Drive
Suite 1100
Reston, VA 20190-5683


Critical infrastructure is the backbone on which this country's success and prosperity are built. As a highly technically advanced nation, we rely heavily on our infrastructure to support all of the challenges of everyday life from providing power, heat, and water to communications, financial transactions, emergency services, and countless other functions without which this country would cease to operate. This foundation, however, is vulnerable. While a considerable number of tools exist to aid decision makers in examining the impact of well defined disaster events, little research has been done to provide real-time analysis and decision support for emerging, dynamic threats. Under this SBIR, High Performance Technologies Inc. proposes the creation of the Current Event - Future Outcome (CEFO) Predictive Framework, which will leverage modern advances in predictive capability with mathematical sensitivity and factor analysis to provide enhanced support for analysts and policy makers as events are occurring. Through the use of a three-layered architecture, CEFO will allow users to identify and prioritize key, event specific factors throughout all stages of the event chain and provide predictive insight into the potential impact and associated risks of emerging threats.

Smart Sensor System

HSHQDC0800069 0811231
(FY08.1 Phase I)
Semantic Mesh of Intelligent Sensors

Trident Systems Incorporated
10201 Fairfax Boulevard, Suite 300
Fairfax, VA 22030-2222


Trident is proposing the development of a Semantic Mesh of Intelligent Sensors (SMIS), an intelligent wireless sensor network for use in improving the performance of surveillance and security in crowded environments-such as airports, shopping districts, and sporting events. This network will be based around Trident's existing suite of wireless sensor nodes, which offer dynamic meshing capabilities along with very flexible sensor interfacing options and long battery runtimes. Trident proposes to enhance the capabilities of this sensor network by integrating sophisticated multi-modal signal & image processing capabilities for feature extraction, while maintaining low-power operation. The metadata produced by feature extraction processing will then be input to a semantic processing layer, which will utilize standard OWL-based ontological methods to infer threat activities. A wiki-based data store/interface will be used to provide a flexible methodology for interface to all sensor data, metadata, and semantic results, and will allow straightforward interfacing to other users and systems. The Phase I effort will consist of a detailed requirements analysis, followed by the development of an overall architecture, top-level development of component technology solutions, and proof-of-concept testing and demonstration of key capabilities.