Topic Information Award/Contract Number Proposal Information Company Performance

Rechargeable, High Efficient, High Capacity Energy Storage

D11PC20128 1014009
(FY10.1 Phase II)
Enhanced Charge Retention and Rate Capability in Lithium-Ion Batteries

Fractal Systems, Inc.
108 4th Street
Belleair Beach, FL 33786-3213


Based on the successful Phase I effort, Fractal Systems Inc proposes to continue the development of lithium ion batteries with significantly improved energy density, charge retention and cycle life compared to existing Li-Ion technologies through the use of improved active materials for powering electronic equipment used by Homeland Security, and the military and commercial sectors. These cells consist of anodes made of high-surface area high-capacity silicon nanostructures with a morphology that, as we found out, allow to by-pass the effects of volume changes upon cycling. As a result, the cells will yield a long cycle life with minimal capacity fade. The cells built in conjunction with state-of-the-art cell components and packaging, to be optimized in Phase II, will be tested through charge/discharge cycling and energy capacity studies at various temperatures, followed by fabrication of prototypes as a deliverable and for marketing purposes. To ensure success of our effort, we have teamed up with a major battery R&D and manufacturing company. A viable lithium ion battery technology with much higher energy density than currently available will be of great value for portable electronics and appliances, vehicular applications, medical devices, satellites, electric storage for solar cells and wind power stations.

Rare Variant Detection Using Next Generation Sequencing Technology

D11PC20117 1014004
(FY10.1 Phase II)
Rare Variant Detection Using Next Genration Sequencing Technology

Eureka Genomics
750 Alfred Nobel Drive, #108
hercules, CA 94547-1387


The long-term objective is to develop a rare variant (SNPs) detection pipeline, based on high throughput sequencing (HTS) and advanced bioinformatics, with the goal of detecting mutations present in ratio as low as 1:1000. To achieve this goal, we propose to: (1) Develop statistical and computational approaches to evaluate the effects of sequencing platform, target genome, and mapping algorithm on the accuracy of the rare variant detection. (2) Implement and deliver rare variant detection pipeline. (3) Experimentally validate the implemented rare variant detection pipeline, culminating a full scale B. anthracis case study. (4) Develop a software application to automatically acquire defined in task 1 statistical characteristics of errors associated with instruments, platforms, library preparation protocols, and sequencing chemistry, which can affect the overall accuracy of the rare variant detection. Rare variant detection is important for prosecution of bioterrorism attacks or attempts. While, the commercial opportunity of the forensic application is unknown, the commercial applications in clinical diagnostics associated with the detection of drug resistant variants such as diagnostic test to identify the presence of multi- or extensively- drug resistant tuberculosis present in less than 1 percent of the sample are significant.

Precision Information Environments

D11PC20109 1012001
(FY10.1 Phase II)
Precision Information Environment for Collaborative Emergency Support (PIECES)

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138-4555


Decision makers responding to homeland security incidents must rapidly integrate and manage dynamic, time-sensitive information from many heterogeneous and multimodal information sources. Responders access this information through numerous software applications, all while attempting to collaborate in real-time. Based on the results of our Phase I design effort, we propose to develop and evaluate a Precision Information Environment for Coordinated Emergency Support (PIECES). Four core components characterize our approach. First, we will streamline access to multiple information resources by building PIECES on a software framework that uses emerging DHS data standards to fuse heterogeneous information for presentation through a single access point. Second, we will develop advanced, human-centered, multimodal displays within a fully tailorable environment to support manipulation, understanding, and exploitation of correlated data sources via an integrated view. Third, we will support collaboration between teams of local and distributed responders by providing a work environment that allows teams to share and manipulate data sources in real-time despite significant differences in hardware capability. Fourth, we will leverage existing, in-house technology and other emerging and planned DHS systems to rapidly prototype software components. This will allow us to evaluate PIECES capabilities and demonstrate to relevant stakeholders in regional EOCs.

Molecular Recognition for Explosives Detection

D11PC20126 1012002
(FY10.1 Phase II)
Magnetically Switchable Explosives Vapor Isolator(1001-687)

Triton Systems, Inc.
200 Turnpike Road
Chelmsford, MA 01824-4000


The proposed work details a molecular recognition based explosives pre-concentration and sampling system which can be coupled to a wide variety of current and future commercially available sensors. The system works by initially isolating and concentrating specific explosives from a sample stream through a novel, robust and tunable molecular recognition system. The concentrated molecules are released to the sensor in a preprogrammed manner through a novel desorption mechanism that minimally impacts the analyte of interest. The technology is easily adaptable to a broad range of explosive threat materials. Based on the success of our initial proof of concept work, we are proposing to extend the technology to build a working prototype.

Synthetic Biometrics

D11PC20116 1014003
(FY10.1 Phase II)
Synthetic Biometric Image Generator

International Biometric Group
One Battery Park Plaza
New York, NY 10004-1405


Software capable of generating synthetic fingerprint, face, and iris images may provide tremendous value to DHS organizations, USG components, and commercial organizations involved in development, testing, and operation of biometric systems. Such software could support cost-effective performance evaluation of new algorithms, optimize the speed and accuracy of deployed biometric systems, and reduce development and testing timelines. IBG will develop and license use of datasets on a customer-specific basis. IBG will work with the customer to define requirements and control parameters, such as image quality, demographic distribution, test case for genuine and impostor data, target algorithms. IBG will develop and license a synthetic biometric dataset generator SDK that supports development of standalone applications as well as integration into customer applications and environments. APIs will provide programmatic access to general parameters such as demographic distribution as well as modality-specific parameters such as sensor selection, positions, and quality. To support customers with highly specialized requirements for sensor technologies, demographic characteristics, or system design emulation that are not supported in the base software and that are not accessible through the SDK, IBG will license full source code versions of its synthetic biometric image generator, enabling customers to develop their own models using core libraries.

GPS Resolution in Denied Location (GRIDLOC)

D11PC20156 1014005
(FY10.1 Phase II)
Geospatial Underground Tracking Solution (GUTS)

Q-Track Corporation
3414 Governors Drive
Huntsville, AL 35805-3672


Increasingly, clandestine tunnels under our southern and northern borders continue to be a problem for illicit smuggling operations. The Q-Track Geospatial Underground Tracking System (GUTS) provides real time positioning of robotic equipment and first responder personnel operating in a GPS and short range radio-frequency denied areas. GUTS is capable of deployment in a variety of underground environments from sewage systems to interdicted, cross-border tunnels deep underground. Easy to operate, the underground asset can be located in minutes and a spatial map generated for evidentiary usage as well as tunnel remediation efforts such as drilling. In Phase II, we will deploy our prototype GUTS system at interdicted tunnels in the U.S. Southwest sectors. Incorporating feedback from CBP and ICE end users, we will then fabricate a ruggedized GUTS system according to operational requirements generated in conjunction with the San Diego, Nogales, and El Paso Tunnel task forces. Finally, Q-Track will integrate its GUTS system with robotic platforms suitable for deployment in challenging cross-border tunnel environments. The Phase II effort is intended to bring GUTS from its current TRL of 6 to a TRL of 9.