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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

H-SB08.1-003
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

07/30/2008
to
02/13/2009
$99,990.00

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.

H-SB08.1-003
Mapping of Long-term Threats, Vulnerabilities, and Impacts

HSHQDC09C00130 0812004
(FY08.1 Phase II)
Current Event Future Outcome Framework

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

09/10/2009
to
03/31/2011
$749,931.00

Many government agencies share the need to determine the best courses of action that diminish the long range threat, vulnerability or impact from a potential event that affects our domestic population or infrastructure. We propose to develop a functional prototype of the Current Event - Future Outcome (CEFO) software we described in Phase I, which will leverage the existing wealth of domain-specific and integrated models from many sources, along with innovative techniques drawn from probabilistic risk assessment, decision theory, and statistical analysis. We will reuse and customize software from other sources to create a workflow platform that can accommodate various existing infrastructure models. We will develop user-friendly interfaces in creating this prototype. We will collaborate with another government agency to demonstrate the effectiveness of the prototype by modeling a regional infrastructure scenario of interest. This will demonstrate that CEFO can provide useful understanding of the complex interrelationships between actions and effects in an interconnected domestic infrastructure. The demonstration will show how the software enables government planners to easily apply systems dynamics methodologies to analyze the impact of events, and potential responsive actions as they relate to the physical, economic, or social infrastructure.

H-SB08.1-005
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

07/30/2008
to
02/13/2009
$99,831.00

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.

H-SB08.1-005
Smart Sensor System

HSHQDC09C00086 0812002
(FY08.1 Phase II)
Semantic Mesh for Intelligent Sensors

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

07/10/2009
to
07/23/2011
$749,938.00

Public safety sensor systems for heavily-populated applications (e.g., airports, convention centers, border crossings, and sport stadiums) require sophisticated, geographically-distributed infrastructures, which usually require centralized supervision and deployment of large-scale security and surveillance networks. New sensor and communication technologies are emerging to capture and process high-quality data, and then transport it rapidly across a wireless network in real time. Recent developments have also been made in semantic data analysis and management technologies enabling more thorough exploitation of such high-quality sensor information. Even so, design challenges exist to develop intelligent, highly-distributed, fault-tolerant, and energy-efficient smart sensor systems. This effort will apply advanced mesh networking, embedded processing techniques, unattended nodes design and semantic data analysis to develop a Semantic Mesh of Intelligent Sensors, (SMIS) system for enhancement of situational awareness, security and environmental analysis. The system will include an intuitive user interface with back-end semantic processing, a dynamically adjustable web of sensors with on-board processing, along with the use of standards-based protocols to ensure that the system is open, extensible and upgradeable, supporting integration with existing data mining systems.