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Abstracts of FY09.2 Phase I Awards
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H-SB09.2-001

Company

American Science and Engineering, Inc.
829 Middlesex Turnpike
Billerica, MA 01821-3907

Proposal Information 0921026 - Use of X-ray Backscatter Imaging to Screen General Aviation Aircraft
Topic Information H-SB09.2-001 - Mobile General Aviation (GA) Aircraft Screener
Award/Contract Number N10PC20005
Abstract

This program will evaluate the effectiveness and application of an appropriately-configured X-ray Backscatter imager to the screening of general aviation aircraft. It builds on work already in progress at AS&E to miniaturize and improve the resolution of single-sided X-ray Backscatter systems.

Company

Marietta X-Ray, Inc.
530 Commerce Park Drive
Marietta, GA 30060-2719

Proposal Information 0921132 - MAXIS (Mobile Aircraft X-ray Inspection System
Topic Information H-SB09.2-001 - Mobile General Aviation (GA) Aircraft Screener
Award/Contract Number N10PC20006
Abstract

Marietta X-Ray, Inc (MXRI) and its subcontractor Rapiscan Laboratories, Inc propose to develop a mobile non-intrusive prototype that can demonstrate the capability of inspecting a complete general-aviation aircraft for concealed contraband. Our solution utilizes an existing vehicle and manipulator coupled with an x-ray inspection system. The x-ray system is based on backscatter technology, which allows scanning from only one side of the aircraft. The backscatter module, composed of the x-ray source, beam scanning mechanism and detectors, will be mounted on a manipulator to allow scanning a variety of aircraft sizes, shapes and configurations. The manipulator will be capable of rotating and moving the backscatter head in all directions, and will be mounted on an off-the-shelf vehicle. The backscatter head will be based on Rapiscan`s Secure Personnel Screening System (SPSS) used to detect threats hidden on the body and deployed mainly by DoD both in the US and abroad. The system will be modified mainly to increase the x-ray energy for the modest penetration required for aircraft inspection. An aircraft inspection system would allow closing the currently existing gap in the required screening of objects brought into the US and has wide applications for the detection of threats and contraband.

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H-SB09.2-002

Company

Creare LLC
P.O. Box 71,
16 Great Hollow Road
Hanover, NH 03755-0071

Proposal Information 0921023 - Seismic Source Discrimination
Topic Information H-SB09.2-002 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Award/Contract Number N10PC20009
Abstract

Surveillance of remote border areas is a significant problem. Detection of walking or running subjects is currently performed using multi-modal unattended ground sensors that measure seismic, acoustic, passive infrared (PIR), and magnetic activity. Current systems rely primarily on the seismic and PIR sensors as they provide the greatest detection range. However, these sensors are prone to false alarms as they can not effectively distinguish between human and animal activity. These false alarms are particularly problematic in remote areas due to the manpower required to investigate each alarm and the abundance of wildlife. During the course of this project, Creare will continue to develop and refine our novel feature-based intruder detection and discrimination algorithms. These algorithms, designed for use in unattended ground sensors, have already shown promising results when used to discriminate between human and animal data.

Company

Toyon Research Corporation
6800 Cortona Drive
Goleta, CA 93117-3021

Proposal Information 0921050 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Topic Information H-SB09.2-002 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Award/Contract Number N10PC20008
Abstract

Handling false alarms produced by animals is a special problem for unattended ground sensors (UGS) because of the number of ways that animal signatures can mimic those of humans. Specifically, animal footsteps are impulsive, much like humans; the contact of a foot or hoof on the ground produces a sudden noise that rapidly fades away. Seismic, acoustic, and passive infrared (PIR) sensors are often plagued by false alarms and this often results in the distrust of such systems. Toyon Research Corporation proposes to develop a signal processing framework to eliminate false alarms produced by animals and allow for the detection of humans. Toyon`s approach consists of target detection and feature extraction modules that are specific to each sensor modality, namely seismic, acoustic, and PIR. Next, automatic target recognition (ATR) algorithms will be applied on select features to conduct preliminary discrimination for each modality. Finally, a fusion algorithm will combine the ATR discriminations from each of the three modalities and output the consensus, high-confidence target declarations. Toyon`s efficient processing structure allows for a low-power, real-time solution that will be agnostic to UGS hardware systems. Toyon`s approach can easily be integrated with existing DHS and DoD platforms.

Company

Physical Sciences Inc.
20 New England Business Center
Andover, MA 01810-1077

Proposal Information 0921064 - Robust Discrimination of Human vs. Animal Footsteps Using Seismic Signals (7279-560)
Topic Information H-SB09.2-002 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Award/Contract Number N10PC20011
Abstract

We propose to develop innovative statistical signal processing algorithms that discriminate between human and animal footsteps when processing seismic signatures acquired by Unattended Ground Sensors (UGS) and UGS constellations. The innovation is to extract and statistically analyze features (e.g., energy, pattern, and spectral properties) of the seismic signatures. Furthermore, to increase the probability of detection (Pd) and reduce false alarms (Pfa) the algorithms track persistent features and their locations when the seismic source is within the UGS detection range. In Phase I, PSI will develop and test the algorithms using available recorded signals. Performance of the algorithms in terms of Pd vs. Pfa will be investigated by adding noise and anomalous vibrations to the signal. We expect Pd exceeding 0.9 with Pfa below 0.01 for high signal-to-noise ratios (SNR), and Pd exceeding 0.75 with Pfa below 0.05 for low SNR. The capability to discriminate human vs. animal seismic sources in rural areas and borders is expected to benefit the military (e.g., surveillance, reconnaissance), DHS (e.g., border control), and civil communities (e.g., detection of construction near pipes or cables).

Company

Scientific Systems Company, Inc.
500 West Cummings Park, Suite 3000
Woburn, MA 01801-6562

Proposal Information 0921145 - Diamondback: Sensor Fusion and Feature-Based Human/Animal Classification for UGS
Topic Information H-SB09.2-002 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Award/Contract Number N10PC20010
Abstract

Unattended ground sensors (UGS) are essential in order to determine if personnel are illegally walking across a border for homeland security . However, a problem with current UGS units and their implementation is that they are poor at discriminating between humans and animals. The main reason for this is that the signal processing algorithms for classification are currently limited to using cadence differences between humans and animals. Such an approach can be defeated by the adversary if they mimic such movement. False alarms set off by the UGS units increases the workload of US Customs and Border Patrol (CBP) agents unduly. New signal processing algorithms that generate fewer false alarms are possible if they utilize other feature vectors in the seismic data beyond cadence Typical UGS units include seismic, acoustic and infra red sensors. A multimodal approach that uses acoustic and infra red sensors along with the seismic sensor is likely to further reduce the false alarm rate. Scientific Systems Company Inc. (SSCI) is teaming with Crane Wireless Monitoring Solutions (Crane) for this project. SSCI has extensive experience with signal processing and pattern recognition techniques and Crane has significant experience in developing UGS systems and intrusion detection algorithms.

Company

Innovative Wireless Technologies, Inc.
1047 Vista Park Drive
Forest, VA 24551-4362

Proposal Information 0921154 - Collaborative Human-Animal Discrimination for Unattended Ground Sensors
Topic Information H-SB09.2-002 - Human-Animal Discrimination Capability for Unattended Ground Sensors
Award/Contract Number N10PC20007
Abstract

Effective human-animal discrimination happens collectively at all levels of an UGS system. The ability to classify a target from footsteps alone as human versus non-human given a single modality and sensor is challenging, thus a collaborative network effort increases the system Probability of Detection (Pd) and minimizes Probability of False Alarm (Pfa). IWT proposes leveraging inter-UGS communication to both increase local classification probabilities and provide a system level indication of target intent. Humans crossing the border, cross with a purpose. This trait differs from animals loitering or stationary vegetation swaying in the wind. Correlation of information between UGS nodes provides strong target behavioral information on location, rate, and direction of travel as well as enhancing the alarm statistics of individual UGS units.

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H-SB09.2-004

Company

SureLogic, Inc.
5808 Forbes Avenue
Pittsburgh, PA 15217-1602

Proposal Information 0921010 - Concurrency vulnerabilities: Combining dynamic and static analyses for detection and remediation
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20015
Abstract

As processor clock speeds top out, software developers increasingly rely on concurrency, multicore, and distributed computing for performance goals -- and on platforms ranging from industrial controls to multicore desktops and scalable clouds. It is safe to speculate that errors in concurrent software will be the next buffer overflow, only more difficult to detect and debug. The non-determinism in concurrent code creates unique challenges for software assurance, including security and reliability. Intermittent failures can be difficult to diagnose, defying traditional testing and inspection. A one-in-a-million corruption or deadlock, for example, may be rarely caught in testing, but when known to an adversary can become an exploitable vulnerability. The proposed work addresses this challenge, linking SureLogic capabilities in scalable sound static analysis, dynamic analysis, and surgically-targeted runtime monitoring. The results, to be delivered through vendor and consultant partnerships, will enhance cloud security, accelerate positive assurance for at-scale concurrent code, and integrate deep analysis into established industry-standard development practices. This work builds on the established SureLogic toolset, derived from research at Carnegie Mellon, which has been field tested on diverse software from government and industry. It has found race vulnerabilities in commercial product code, deployed aerospace code, and major open source code.

Company

Applied Visions, Inc.
6 Bayview Avenue
Northport, NY 11768-1502

Proposal Information 0921066 - Software Assurance Analysis and Visual Analytics
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20014
Abstract

Software is a mature discipline, yet more than 98 percent of all PCs have one or more vulnerable programs, and in the US there are 2.7 billion programs open for attack. Efforts to address the problem at the source--during software development--are shockingly inadequate, with many commercial Software Assurance tools focused on detection rather than working to become part of the development process. More effective Software Testing and Vulnerability Analysis is required to identify and remediate vulnerabilities before systems are deployed. The Secure Decisions Division of Applied Visions Inc. proposes to design and develop a Software Assurance Analysis and Visual Analytics system that can be integrated into the Software Development Life Cycle to identify, confirm, and understand weaknesses and vulnerabilities in source code. No single Software Assurance tool is likely to identify all vulnerabilities: we do not propose to develop yet another vulnerability detection method, but to develop a platform for correlating the results of multiple analysis tools. Our approach is to leverage existing tools by providing a framework for linking disparate testing and vulnerability analysis tools, and to provide a visual analytics platform that embeds a mechanism for feedback from human analysis into automated analysis.

Company

Coverity Inc.
185 Berry St.
Suite 1600
San Francisco, CA 94107-1740

Proposal Information 0921079 - Eliminating barriers to code quality and security with increased timeliness and accuracy of analysis
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20016
Abstract

While modern static analysis tools have progressed significantly, barriers to adoption still exist due to the turnaround time between submitting code and producing analysis results, and due to the inability to model code paths which traverse externally supplied codeblocks, such as 3rd party library functions. This submission targets these two challenges from a number of directions, with intended deployment through the Open Source Hardening Project - Coverity Scan system.

Company

GrammaTech, Inc.
317 N. Aurora Street
Ithaca, NY 14850-4201

Proposal Information 0921090 - Concolic Testing with Metronome
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20017
Abstract

We propose to build a system that combines novel automatic test generation techniques with state-of-the-art multi-platform continuous integration technology. The proposed system will automatically generate test data by using a combination of symbolic and concrete executions to intelligently explore the space of inputs. The continuous integration technology will enable the system to detect defects very early in the development cycle.

Company

GrammaTech, Inc.
317 N. Aurora Street
Ithaca, NY 14850-4201

Proposal Information 0921091 - CodeSonar with Metronome
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20004
Abstract

The current generation of advanced static-analysis tools find vulnerabilities by exploring all possible executions of a program as configured for a single platform. The next quantum leap in capability will be a system that will explore all executions for many different platforms simultaneously. We propose to develop such a system by combining a number of state-of-the-art techniques. Novel continuous integration technology will allow distribution of concurrent analyses across a farm of heterogeneous machines. Advances in our static-analysis engine will exploit machine-code analysis to ferret out subtle platform-specific differences in behavior. The results of these analyses will be collated, filtered, ranked, and presented to the analyst in a single combined report.

Company

Zephyr Software LLC
2040 Tremont Road
Charlottesville, VA 22911-8635

Proposal Information 0921099 - Virtualization and Static Analysis to Detect Memory Overwriting Vulnerabilities
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20012
Abstract

Memory overwriting vulnerabilities (buffer overflow, format string, double free, integer overflow, etc.) continue to plague commercial and government software, providing avenues for attackers to gain unauthorized control over computer systems. Testing tools are needed that will find vulnerabilities so that fixes can be applied before deployment. Existing vulnerability analyses often rely exclusively on either static or dynamic analysis tools, each of which has its strengths and weaknesses. Many defenses require source code for the application being tested, which is not practical for final acceptance testing by software consumers, who are often not allowed access to the source code of the software vendor. The proposed research will enhance and integrate prior static and dynamic analysis tools to enable software producers and consumers to accomplish two important objectives: (1) To strengthen software testing with respect to exercising potentially vulnerable code, and (2) to identify and fix memory overwriting vulnerabilities before software deployment. Only the binary form of the tested software will be needed. The result of the eventual Phase II effort will be an acceptance testing tool that will be commercialized for Linux and Windows systems.

Company

Data Access Technologies, Inc
8605 Westwood Center Drive
Suite 503/505
Vienna, VA 22182-2231

Proposal Information 0921152 - Run Time Tools` Output Integration Framework
Topic Information H-SB09.2-004 - Software Testing and Vulnerability Analysis
Award/Contract Number N10PC20013
Abstract

This proposal addresses the key issue in the normalization of software assurance information: how to integrate the vulnerability findings reported by multiple vulnerability detection tools. The normalization will provide normalized, consistent reporting on type of identified weakness (alignment with CWE) as well as normalized, consistent reporting on location and trace of identified weakness within code (source or binary). The project will build upon and extend the results of several recent government-funded programs in the area of software assurance. Once completed the project will develop an open-standard-based Run Time Tool Output Integration Framework (TOIF) and deliver the integration of several existing open source vulnerability detection tools into this framework. This will mitigate one of the major practical gaps with today`s software assurance tools: the non overlapping findings of the current tools and will enable cross examining the vulnerabilities reported by different tools, something that is currently very dependant on human verification and therefore very laborious. This would enable using multiple vulnerability detection tools in a coordinated manner. The anticipated results will be made available to the community (as open source) of tools vendors, leading to further improvements in vulnerability detection tools through normalization of their outputs, better alignment with existing standards, and better exchanges of software assurance information.

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H-SB09.2-005

Company

Spectral Labs Incorporated
12265 World Trade Drive, Ste E
San Diego, CA 92128-3771

Proposal Information 0921117 - Next Generation IED Diagnostic Imaging System (NG-IDIS)
Topic Information H-SB09.2-005 - Novel Diagnostic Imaging System
Award/Contract Number N10PC20019
Abstract

Spectral Labs Incorporated (SLI) proposes to conduct a study and perform analysis in order to identify technologies showing promise for breakthroughs in IED imaging in order to produce a Next Generation IED Diagnostic Imaging System (NG-IDIS). A key improvement in such a system would be to obviate the need for bomb technicians to approach the target multiple times to retrieve film or imaging plates or to get the appropriate image perspective. Additionally, an advanced system must minimize time on target, maximize the operators distance from the target, and enable acquiring all the required information in a single downrange trip. To make these improvements this SLI program will research all plausible physical phenomena to select those technologies which have an opportunity to lead to viable system configurations. The most promising of those will be numerically modeled to determine which has the best potential performance characteristics. Then a top level conceptual design will enable an independent feasibility evaluation of the selected approach. Particular technical issues that need to be addressed during this process include System Configuration, the Image Acquisition Process, and Image Quality as well as specialized features such as adaptability to Robotic Platforms.

Company

Brandt Innovative Technologies, Inc.
W230 N4901 Betker Drive
Pewaukee, WI 53072-1432

Proposal Information 0921142 - Standoff Diagnostic Imaging System for IEDs
Topic Information H-SB09.2-005 - Novel Diagnostic Imaging System
Award/Contract Number N10PC20018
Abstract

We will conduct a study to explore current diagnostic imaging technologies, a search for novel technologies, or combinations of known technologies in innovative and novel packaging that can potentially meet the sophisticated diagnostic imaging needs of the bomb technician. We will analyze novel and futuristic potential techniques to provide decision making via a ranking of the impact and effectiveness of the candidates for providing a technical solution to the current strategic and technological dilemma. Each potential technology will be examined for the difficulties anticipated in order to fully develop each approach; and an estimate will be made of technological and cost-effectiveness for each, in order that a decision can be made whether or not to pursue any of the technologies into a prototype phase - -as the long-term goal is to provide possible working alternative solutions to the problem of imaging an IED in one pass. We believe we have an innovative and novel solution for IED analysis. We propose to demonstrate the technical feasibility of a laser-based, phased-array ultrasound technology to image the contents of IEDs, combined with Lased-induced Breakdown spectroscopy to characterize the surface of the IED and any trace chemical components left on that surface..

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H-SB09.2-006

Company

GL Communications Inc.
818 West Diamond Avenue, Third Floor
Gaithersburg, MD 20878-1417

Proposal Information 0921011 - Adaptive Noise Cancellation for Improved Voice Operated Switch (VOX) Efficiency and Voice Intelligibility
Topic Information H-SB09.2-006 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Award/Contract Number N10PC20020
Abstract

First Responders face critical life and death issues in dangerous environments. Efficient radio communications is essential in the success of their mission, but high background noise can degrade radio efficiency and intelligibility. This proposal presents a novel approach to mitigate noise, improve VOX efficiency, permit hands free operation, and improve voice intelligibility. It is based on the principle of adaptive noise cancellation. GL Communications Inc., Dr. Christopher Fuller, and Larry Lutz will team together to demonstrate the feasibility of a portable noise canceller that first responders can easily adapt to their current mobile radios and at relatively low cost. The team has a long track record in noise cancellation technology, product development, testing, and commercialization. This project is in response to the Department of Homeland Security Small Business Innovation Research (SBIR) Program solicitation of Topic Number H-SB09.2-006.

Company

Li Creative Technologies, Inc.
25 B Hanover Road, Suite 140
Florham Park, NJ 07932-1924

Proposal Information 0921112 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Topic Information H-SB09.2-006 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Award/Contract Number N10PC20021
Abstract

The purpose of this proposal is to present a novel and promising noise attenuation solution for the first responders to effectively communicate in high-noise operation environment regardless of the communications mode (through radios in push-to-talk mode, VOX mode and without radios). For different application scenarios, we propose two possible solutions to handheld and hands-free applications, respectively. The proposed noise cancellation solution is based on our experiences in previous research and similar product design. Our research will be focused on improving signal-to-noisy ratio (SNR) for high-noise environments and extending the battery life. At the end of Phase I, all algorithms will be implemented and tested in an existing hardware platform. Also, preliminary hardware designs will be finished and all major chips for the device will be selected in Phase I.

Company

Williams-Pyro, Inc
200 Greenleaf Street
Fort Worth, TX 76107-1471

Proposal Information 0921128 - Noise Cancellation SmartVOX for Firefighters
Topic Information H-SB09.2-006 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Award/Contract Number N10PC20024
Abstract

The difficulty in hearing ambient sounds caused by SCBA equipment and the failure of conventional voice operated switch (VOX) devices in first responder environments must be corrected with an economical solution that does not require replacement of existing radio equipment. Communication between first responders and other radio users is vital; failures cause loss of life and property. To meet the need for improved hands-free communications in first responder environments, Williams-Pyro, Inc., proposes to develop a system that will enhance, not replace, existing communications equipment. In Phase I, our research and development efforts will demonstrate the feasibility of a system that performs two novel types of digital VOX functionality in order to address both radio and ambient sound intelligibility challenges.

Company

Telacoustics LLC
1032 National Parkway
Schaumburg, IL 60173-4519

Proposal Information 0921146 - Acoustic Noise Cancellation with Remote Microphones for First Responders
Topic Information H-SB09.2-006 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Award/Contract Number N10PC20022
Abstract

This proposal covers the development of audio processing technology that enables improved communications capability among first responders. The goal is to improve the SNR of the audio signal that is input to the radio or other communication system when the user is in a noisy environment. The technologies to be investigated include the use of multiple microphones for acoustic beam-steering, new techniques for Voice Activity Detection (VAD), and an improved residual noise suppressor. The result will be to reduce the subjective effect of acoustic background noise in the audio signal being input to the communication system and thus increase communicability among first responders. The technology solution will also address the VOX problem that exists in high noise environments based on the new VAD techniques to be developed. The technology solution will be modest in size and cost. The proposed solution should allow integration into existing radio communication systems in a straightforward way.

Company

Broad Audio LLC
704 Loch Highlands Drive
Raleigh, NC 27606-8431

Proposal Information 0921187 - Intelligible Speech Communications with Robust Voice Operated Switch (VOX) Operation for High Noise Environments
Topic Information H-SB09.2-006 - Noise Cancellation for Voice Operated Switch (VOX) Communications
Award/Contract Number N10PC20023
Abstract

First responders operate in challenging acoustic environments where noise, alarms, engines, radio communications, and communications to others in the environment make voice communications with hands-free, voice operated switch (VOX) operation difficult. Broad Digital will use a combination of passive acoustic design, noise suppression and subtraction, signal separation, and equalization to provide clear speech for audio communications and robust VOX operation. Broad Digital will combine this with adaptive gain control, compression, equalization, and noise cancellation for intelligible, clear speech to the responder`s headset. This combination of algorithms will allow the first responder to hear, and be heard, using VOX operation while saving lives in these challenging environments. This development will provide the core technologies for improvements to military radio handsets and headsets and for other commercial communications systems.

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H-SB09.2-007

Company

Advanced Brain Monitoring, Inc.
2237 Faraday Ave
Suite 100
Carlsbad, CA 92008-7209

Proposal Information 0921009 - Interactive Neuro-Educational Technolgies (I-NET): Enhanced Training of Threat Detection
Topic Information H-SB09.2-007 - Enhancing Training Effectiveness through Cognitive State Assessment
Award/Contract Number N10PC20026
Abstract

According to Department of Homeland Security (DHS), over 700 million pieces of baggage are screened for potential threats in the U.S. every year. Training methods for DHS screeners rely on conventional classroom instruction and on-the-job mentoring. By definition, a screener`s work is challenging because the search for threats demands sustained, focused attention while reviewing many images with very low probability of detecting an actual threat. Limitations of current training are inherent in the nature of the task; the required repetitious training over time degrades its effectiveness and induces fatigue, boredom and inattention. To begin to address these challenges, the investigators propose to integrate neuroscience-based evaluation technologies with multiple training approaches with the goal of creating an interactive learning, adaptive to the skill levels and needs of individuals. This innovative technology will be designed to increase training efficacy and reduce fatigue associated with current repetitive training methods. Envisioned products will incorporate the electroencephalogram (EEG) and other physiological metrics such as heart rate (EKG) into systems with continuous psychophysiological monitoring in combination with performance metrics including accuracy, speed and efficiency. Interactive adaptive computer-based training systems will facilitate interventions within the training environment to accelerate skill acquisition and provide quantitative evidence of success.

Company

Design Interactive, Inc.
1221 East Broadway, Ste. 110
Oviedo, FL 32765-7829

Proposal Information 0921052 - Screeners Auto-Diagnostic Adaptive Precision Training (Screen-ADAPT) System
Topic Information H-SB09.2-007 - Enhancing Training Effectiveness through Cognitive State Assessment
Award/Contract Number N10PC20028
Abstract

The Screen-ADAPT system utilizes advances in brain-based sensory technology to develop an advanced training system for baggage screeners that will substantially improve initial and sustainment training over current practices by providing simulated training using real-world data pinpointing specific training deficiencies related to visual inspection skills. Screen-ADAPT incorporates a suite of measurement tools, including cognitive state and behavioral metrics, and system metrics to quantify and diagnose screening skills/deficiencies in real-time, triggering adaptive feedback within a scenario and AAR. Screen-ADAPT provides next-generation neurophysiology-driven, individualized training that ensures appropriate cognitive training states and targets specific training deficits identified, optimizing training sessions with the goal of increased threat detection accuracy and efficiency. Screen-ADAPT will be one of the first real-time, closed-loop training systems that incorporate considerate adaptations as well as AAR feedback that effectively diagnoses training deficiencies, root cause(s) of error patterns, and provides individualized training recommendations to optimize training effectiveness and efficiency. The proposer`s commercialization strategy centers on marketing a completed Screen-ADAPT tool to domestic airports; security and screening checkpoints throughout the US will also be targeted. There are also a wide variety of visual monitoring/inspection tasks that could benefit from a Screen-ADAPT training system: container screening, border patrol personnel, video surveillance security.

Company

Human Bionics
190 N 21st Street, Suite B
Purcellville, VA 20132-3077

Proposal Information 0921121 - Intelligent Bio-Adaptive Team Training System
Topic Information H-SB09.2-007 - Enhancing Training Effectiveness through Cognitive State Assessment
Award/Contract Number N10PC20025
Abstract

As we face new formidable challenges in the area of global asymmetric warfare, the DHS must be able to rapidly train and test those individuals responsible for screening of persons that may wish to bring harm to the U.S. and its allies. Thus there is a vast need to train individuals faster and to improve training outcomes, possibly by training in teams of screeners working together to improve their operational and situational readiness. Training of personnel to ensure requisite job preparedness with the appropriate operational experience is crucial for mission success. Today`s training environment relies on traditional classroom type sessions utilizing lectures, videos, and web-based methods to communicate the information that screeners need to adequately perform their job. To this end, new methodologies and ideas for training include Team Training Scenarios, which are being presented and awaiting validation under real-world conditions. Team Training allows social interactions among participants, which may reinforce training content uptake and retention through cross associations with other team members. Human Bionics (HB) is leveraging three year`s experience collecting and examining changes in psychophysiological signals from volunteers performing a host of militarily relevant tasks under simulated and real-world conditions. The overall purpose of this work has been to test human-computer mitigation methods and identify an appropriate set of physiological signals and features capable of improving the current state of Screener Training. In Phase I we will determine the feasibility of extending an existing prototype distributed training architecture to meet DHS S&T Training needs.

Company

Quantum Applied Science & Research, Inc.
5764 Pacific Center Blvd.
Suite 107
San Diego, CA 92121-4207

Proposal Information 0921136 - EEG and Eye Tracking-based Measures for Enhanced Screener Training
Topic Information H-SB09.2-007 - Enhancing Training Effectiveness through Cognitive State Assessment
Award/Contract Number N10PC20029
Abstract

QUASAR, EyeTracking Inc. (ETI), and Safe Passage International (SPI) will define a closed-loop training system that incorporates EEG and eye tracking technologies to improve Transportation Safety Officer (TSO) training efficiency and effectiveness. To minimize the implementation risk of the Phase II system demonstration, in Phase I the team will: 1. Measure the ability of EEG- and eye-tracking/pupillometry-based gauges to distinguish between trainees in early and late stages of computer-based training, and as compared with expert screeners. 2. Use these validated metrics to define concrete training paradigms to enhance screener training programs. 3. Generalize these paradigms to develop a training system for the broader skill set of TSOs, and that includes a user model describing how the various components will function and interact with both instructors and trainees. The resultant system will be built in a modular framework based on task decomposition of each stage of a training process and its related brain-based measurements and mitigations. As such the model generation framework will be generalizable to diverse training paradigms

Company

Archinoetics, LLC
700 Bishop St.
Suite 2000
Honolulu, HI 96813-4120

Proposal Information 0921196 - Screener Vigilance Detection Using Psychophysiological Sensors
Topic Information H-SB09.2-007 - Enhancing Training Effectiveness through Cognitive State Assessment
Award/Contract Number N10PC20027
Abstract

Screening is a repetitive and often monotonous task, involving long periods of vigilance despite low occurrences of threat. Because of the nature of this task and the high consequence if a threat is missed, a screener`s vigilance and avoidance of operation during fatigue are critical to their job effectiveness. This proposal describes an integrated solution to monitoring vigilance levels in airport security screeners. The proposed solution combines multiple psychophysiological sensors and measures with intelligent learning algorithms to classify levels of alertness. Physiologic data will be analyzed to evaluate the effectiveness of classification algorithms and to measure the saliency of the measures collected from the multiple sensors, with the ultimate goal of minimizing the sensors required for minimally invasive yet effective vigilance detection.

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H-SB09.2-008

Company

Perpetua Power Source Technologies, Inc.
4314 SW Research Way
Corvallis, OR 97333-1070

Proposal Information 0921055 - WEARABLE THERMOELECTRIC GENERATORS FOR FIRST RESPONDERS
Topic Information H-SB09.2-008 - Wearable Energy to Power and Operate Responder Tools (Wearable EPORT)
Award/Contract Number N10PC20031
Abstract

This SBIR Phase I will model and physically demonstrate wearable, small factor, and lightweight thermoelectric generator prototypes powered by human body heat. The project will make use of Perpetua`s novel Flexible Thermoelectric Film technology to yield higher voltages and power from small active areas. End devices will be in wearable form factors, including a flexible button array that can be integrated into textiles, harnesses, helmets, and other gear. Challenges to overcome center around thermal optimization specific to the unique conditions of wearables. Phase I prototypes will power autonomous low power wireless transceivers. No commercially viable wearable thermoelectric energy harvesting system has ever been brought to market due to the counteracting difficulties of achieving a small form factor while still providing sufficient voltage to power a wireless transceiver. The resulting renewable thermoelectric generators will reduce and in some cases eliminate the need for battery replacements. Market applications include safety diagnostic systems for emergency responders, situational awareness for Incident Commanders, along with related medical and military applications.

Company

Jadoo Power Systems, Inc.
181 Blue Ravine Rd
Suite 120
Folsom, CA 95630-4704

Proposal Information 0921060 - Demonstration of Wearable Power for Responder Tools
Topic Information H-SB09.2-008 - Wearable Energy to Power and Operate Responder Tools (Wearable EPORT)
Award/Contract Number N10PC20030
Abstract

Today`s existing battery technology has major limitations that first responders are forced to accept due to the absence of alternatives. These limitations include; limited run times, excessive weight, poor shelf life, performance deterioration over-extended temperature ranges, significant quantities of hazardous materials and cycling degradation. Simply stated, battery technologies have not kept up with the performance demands of critical consumers. Jadoo Power proposes to demonstrate a 50-Watt, centralized wearable power system capable of powering first responder tools for eight hours. The proposed packaged solution will significantly decrease the first responder`s logistics burden, while providing the extended runtime required for critical operations. Additionally, Jadoo Power will deliver a CAD model of the potential packaging and architecture needed to integrate the power module into a wearable textile application. Funding this project will advance the development of wearable power products that meet the needs of federal and state first responders and commercial markets. The military and commercial markets that will be addressed include: fire and police personnel, emergency medical providers, commercial workers operating in remote areas, field computers operating away from a power grid, hikers and other recreation users, field lab technicians, surveying, professional photographers, broadcasting operators, construction workers, and others.

Company

FlexEl, LLC
FlexEl, LLC
387 Technology Drive
College Park, MD 20742-3371

Proposal Information 0921110 - A Wearable Battery Cloth
Topic Information H-SB09.2-008 - Wearable Energy to Power and Operate Responder Tools (Wearable EPORT)
Award/Contract Number N10PC20032
Abstract

Hydrated ruthenium oxide has demonstrated outstanding volumetric charge storage capability. It is non-toxic, environmentally safe, and when used with an oxidizing counter-electrode, becomes part of a galvanic cell (a battery). Ruthenium oxide and many oxidizing metals, like zinc, are available as nano-particulate powers. They combine to form highly flexible batteries with excellent current sourcing capabilities. We have built a thin film battery with the highest reported current density of any thin film cell. The major barrier to acceptance of this material system is cost. In the past, 1 m2 of the battery material could cost one hundred thousand dollars. We propose a manufacturing technique that can lower costs to less than one hundred dollars per m2. It is based on a coating approach that forms continuous layers of nano-particles whose thickness is close to that of a single nano-particle diameter. Thin, coated sheets can be pulled through the coater at a rate of meters squared a minute. The resulting sheets are easily assembled into mechanically flexible batteries or capacitors. The goal of the proposed program is to create a wearable battery cloth capable of powering first responder gear for times much longer than that of a typical responder mission.

Company

UtopiaCompression Corporation
11150 W. Olympic Blvd.
Suite 820
Los Angeles, CA 90064-1839

Proposal Information 0921158 - Wearable Smart Battery for First Responder Applications
Topic Information H-SB09.2-008 - Wearable Energy to Power and Operate Responder Tools (Wearable EPORT)
Award/Contract Number N10PC20033
Abstract

UtopiaCompresion in collaboration with UCLA is proposing a Smart Battery system which will be compatible with a variety of energy sources, provide efficient energy management capabilities, will be manufactured on a flexible substrate for easy integration into first responder clothing, and provide support for emergency recharge and battery replacement. This work leverages our combined experience with DHS first responder physiological monitoring hardware and software issues. UC`s proposed Smart Battery system will have a number of applications within the government as well in the commercial market. Within the government applications, there are several large market segments which would benefit tremendously from the successful integration of the Wearable Smart Battery technology into their operational armamentarium. High potential markets are: First Responders including Fire Fighters and Disaster Intervention Personnel (Flood, Hazmat, Terrorist, Hurricane, etc); Telehealth/medicine; Military Operations; and Law Enforcement and Intervention Teams. Within the medical field, Paramedics, Emergency Services, and EMT are potential markets for deployment. However, the largest market opportunity within the medical community for Wearable Smart Battery is for remote patient monitoring requiring long durations of operation.

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