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Abstracts of FY08.1 Phase II Awards
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Veridical Research and Design Corporation
211 W. Main - Lower Level
PO Box 6503
Bozeman, MT 59771-6503

Proposal Information 0812001 - OBSERVER : Ocular-Based Screening Evaluation and Real-time Verification Examination Remotely
Topic Information H-SB08.1-001 - Assess Ability to use Eye Tracking and Pupil Dilation to Determine Intent to Deceive
Award/Contract Number HSHQDC-09-C-00065

Veridical Research and Design Corporation proposes to deliver a prototype of the OBSERVER (Ocular-Based Screening Evaluation and Real-time Verification Examination Remotely) Malintent Detection system capable of non-intrusively assessing an individual`s intent-to-deceive using ocular-based measures. Work under Phase II will develop a prototype application that supports (a) the extension of the basic OBSERVE model developed under Phase I to determine the effects of including visual stimuli during questioning, (b) the development and validation of the OBSERVER prototype using live interrogators, and (c) the extension of the prototype to examine the contribution of measurements of participant visual attention to items in the examination environment. The resulting system will function in a stand-alone configuration and will also be capable of integration as a component of a multiple sensor suite. The ability to automate aspects of the screening process is crucial given the large number of individuals that must be evaluated. In addition to supporting DHS`s goals of developing new physiological and behavioral sensor technologies for homeland security operations that determine malintent, OBSERVER will be of immediate utility for screening individuals in situations where detection of potential malicious intent is required in government, military and civilian sectors.


Bio-Behavior Analysis Systems, LLC
STE 307
St. Louis, MO 63117-1639

Proposal Information 0812003 - Assess Ability to use Eye Tracking and Pupil Dialtion to Determine Intent to Deceive - Phase II
Topic Information H-SB08.1-001 - Assess Ability to use Eye Tracking and Pupil Dilation to Determine Intent to Deceive
Award/Contract Number HSHQDC09C00115

We propose to run 3 experiments to refine and utilize measures of oculomotor activity and pupil diameter change to assess an individual`s malicious or deceptive intent. We also propose to concurrently develop the software and determine the hardware necessary for online, real-time assessment of malintent based on prior research results and the results of the proposed experiments. In addition to oculomotor and pupil activity, we plan on collecting other physiological measures (e.g. electrodermal activity, respiration, cardiovascular measures) with the intent of developing a broader base of measures allowing for assessment of malicious or deceptive intent. Experiments will be conducted within the constraints imposed by the DHS Future Attribute Screening Technology (FAST) environment. The focus is on measures that can be recorded unobtrusively (without the attachment of sensors) and that can provide immediate feedback.

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Synkera Technologies Inc.
2605 Trade Centre Ave, Suite C
Longmont, CO 80503-4605

Proposal Information 0812007 - Miniature and Reliable Chemical Sensors for Cell Phones
Topic Information H-SB08.1-002 - Miniature Chem/Bio/Explosive Sensors
Award/Contract Number HSHQDC09C00178

In the event of a terrorist attack, the ability to measure the extent and location of the attack and rapidly notify first responders will be critical to saving lives. If the widespread use of cell phones could be harnessed with an ability to detect chemical threats and immediately notify authorities of the scope and location of the attack, public safety would be significantly enhanced. Synkera proposes to develop a unique nanostructured ceramic sensor array for threat detection. This miniature detection system is well suited for integration with cellular and other wireless devices and will enable them to become part of a larger distributed alert network that improves situational awareness for mission personnel. Synkera`s Phase I effort demonstrated the feasibility and performance of very low power, small sensors capable of detecting a wide range of chemical threats. The sensor manufacturing process is highly scalable, which will allow the sensors to meet vey aggressive cost targets for integration with cellular phones. This Phase II effort will prepare a prototype sensor module integrated into a cell phone that takes advantage of the Synkera sensors advantages in size and performance.

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

Proposal Information 0812004 - Current Event Future Outcome Framework
Topic Information H-SB08.1-003 - Mapping of Long-term Threats, Vulnerabilities, and Impacts
Award/Contract Number HSHQDC09C00130

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.

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Enertechnix, Inc.
P.O. Box 469
Maple Valley, WA 98038-0469

Topic Information H-SB08.1-004 - Trace Explosives Sampling for Vehicle Borne Improvised Explosives Device (VBIED) Detection
Award/Contract Number HSHQDC09C00131

Enertechnix proposes to develop a sampling system for trace explosive particles and vapors for vehicle-borne improvised explosive device (VBIED) detection and related applications. Our approach combines forced air jets for dislodging particles and vapors from the vehicle surfaces, with concentration and collection of dislodged particles and scavenging of explosive vapors on artificially introduced aerosol particles with mesoporous surfaces (possibly containing selectively adsorbent polymers tuned to the molecular characteristics of explosives). These particles will be concentrated using a micro-aerodynamic lens (uADL) and collected on the walls of a micro-channel collector (uCC) where the explosive vapors will be desorbed and delivered to a detector of choice at the flow rate required by that detector. All functions: particle removal, vapor scavenging, particle concentration and collection will be implemented in a compact, modular, low-power, low-cost device. The proposed sampler can be part of an array or used as a stand-alone, possibly hand-held, unit; it can serve as the front-end for a broad range of explosives analyzers, significantly improving their sensitivity and reducing detection times.

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

Proposal Information 0812002 - Semantic Mesh for Intelligent Sensors
Topic Information H-SB08.1-005 - Smart Sensor System
Award/Contract Number HSHQDC09C00086

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.


intuVision Inc.
10 Tower Office Park
Ste 200
Woburn, MA 01801-2120

Proposal Information 0812005 - Smart Sensing and Tracking with Video and Mote Sensor Collaboration
Topic Information H-SB08.1-005 - Smart Sensor System
Award/Contract Number HSHQDC09C00085

With growing concerns about the security of our borders and vulnerable entry points video imagery has emerged as a high potential surveillance data source for generating real time situational information. This potential comes with its challenges due to the large volumes of data need to be processed, lack of smart sensors to automatically detect and understand video content, bandwidth limitations to distribute the video to the hands of decision makers to provide actionable intelligence for first responders. Our proposal addresses each of these challenges, including end-to-end system integration with specific attention to deployment and life cycle costs with Smart Sensing and Video Understanding in a sensor web platform: 1.We embed the video content analysis processing into the video sensor with our Smart Video Node to offload processing of video to the sensor edge, 2.We use inexpensive ad hoc netted sensor motes to cue video sensors to collect and process data only when a mote field is triggered based on commanded rules, 3.We use a sensorweb platform to quickly discover sensors that are available, seamlessly integrate and collect data from disparate sensors, perform system leverage, remotely task sensors and receive alerts from multiple sensors.

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