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Abstracts of FY10.1 Phase I Awards
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H-SB010.1-001

Company

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

Proposal Information 1011045 - Enhanced Charge Retention and Rate Capability in Lithium-Ion Batteries
Topic Information H-SB010.1-001 - Rechargeable, High Efficient, High Capacity Energy Storage
Award/Contract Number N10PC20198
Abstract

Fractal Systems Inc proposes to develop 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 in the military and commercial sectors. These cells will consist of anodes made of high surface area high capacity silicon nanostructures with a morphology that will allow to by-pass the effects of volume changes upon cycling. As a result, the cells will yield a long cycle life with a minimal or no capacity fade. The cells built in conjunction with state of the art cell components and packaging will be tested including safety issues to demonstrate feasibility of our approach through charge/discharge cycling and energy capacity studies at various temperatures. Prototypes will be custom designed towards the end of the effort. To ensure success of our three-phase effort, we have teamed up with a major battery R&D and manufacturing company. Materials and processes will be optimized in Phase II towards a viable lithium ion battery technology which would be of great value for portable electronics and appliances, vehicular applications, medical devices, satellites, electric storage for solar cells and wind power stations.

Company

Johnson Research and Development Co., Inc.
263 Decatur St.
Atlanta, GA 30312-1705

Proposal Information 1011061 - Long life rechargeable battery
Topic Information H-SB010.1-001 - Rechargeable, High Efficient, High Capacity Energy Storage
Award/Contract Number N10PC20197
Abstract

The company proposes innovative advanced battery technology to provide long life and high energy. The proposed effort offers the potential to better than double the world`s current best technology. The benefits of this technology would be longer use, longer storage capability, and more recharges for portable electronics such as communications devices, etc. The benefits anticipated for government applications such as first responders, etc would also be extremely useful in commercial applications such as cell telephones, mp3 players, PDA`s, GPS`s and laptops.

Company

Florado Entek, Inc.
3342 Red Ash Cir.
Oviedo, FL 32766-8103

Proposal Information 1011071 - Rechargeable, High Density Electric Energy Storage Unit
Topic Information H-SB010.1-001 - Rechargeable, High Efficient, High Capacity Energy Storage
Award/Contract Number N10PC20196
Abstract

In this phase I proposal, Florado propose to develop a solid state parallel capacitor as a energy storage unit for hand-held or small appliance applications by using a newly developed polymer-derived ceramics (PDCs). Florado have recently demonstrated that PDCs can have dielectric permittivity as high as 2 millions, greatly exceeding that of any existing materials. The preliminary calculation suggests that the capacitor made of PDCs can have energy density at least 10 times higher than the state of the art Li-Ion batteries, as well as much high charge/discharge rate, longer shelf life, lower cost, and free of liquid hazardous materials. The objectives of the proposed research are to 1) develop a PDCs composite which possesses ultra high permittivity and suitable dielectric strength, 2) design and fabricate the PDCs capacitor, 3) design and fabricate the electrics and packaging, 4) demonstrate the prototypes of proposed energy storage unit with testing results at the end of phase II efforts. The proposed research will significantly advance the electric energy storage technology beyond its current state. The proposed technologies will greatly benefit hand-held electronic devices such as cell phone and other portable devices. Except for those, the technology can be transferred for a variety of applications in other areas, such as the Electric Vehicles (EV) industries, renewable energy industries, and smart grid systems.

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H-SB010.1-002

Company

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

Proposal Information 1011114 - Utility of Next Generation Sequencing Data for Rare Variant Detection and Identification in a Bacterial Sample
Topic Information H-SB010.1-002 - Rare Variant Detection Using Next Generation Sequencing Technology
Award/Contract Number N10PC20199
Abstract

The long-term objective is to develop a statistically sound rare variant (SNPs) detection and SNP profile comparison method, based on high throughput sequencing (HTS) and advanced bioinformatics, that is capable of detecting a mutations present in as low as 1/5000 bacterial cells in the sample. This will be accomplished in five tasks: (1) Develop and test a statistical model to predict sample coverage required to detect SNPs in a strain of given rarity with pre-specified level of confidence. (2) Determine the ability to use HTS reads to assign SNPs to correct rare variants (3) Quantify the effect of limitations of the sequencing platform on rare variant detection (4) Develop a statistical framework to compare SNP profiles, (5) Develop a research plan for phase II. Rare variant detection and matching will be important for prosecution of bioterrorism attacks or attempts. The commercial opportunity of the forensic application is unknown, but commercial applications in clinical diagnostics associated with the detection of drug resistant variants are extensive. There is an urgent need (estimated 100M USD US market annually) for a diagnostic test to identify the presence of multi- or extensively- drug resistant tuberculosis present in 1 percent or less of the sample.

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H-SB010.1-003

Company

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

Proposal Information 1011078 - Precision Information Environment for Collaborative Emergency Support (PIECES)
Topic Information H-SB010.1-003 - Precision Information Environments
Award/Contract Number N10PC20202
Abstract

Decision makers responding to homeland security incidents must rapidly integrate and manage dynamic, time-sensitive information from a large number of heterogeneous and multimodal information sources accessed through a variety of software applications, all while collaborating in real-time as efficiently as possible. To address these issues, we propose to design 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 can fuse heterogeneous information sources and present these sources through a single access point. Second, we will support the manipulation, understanding, and exploitation of correlated data sources by providing users with an integrated view of the data through advanced, human-centered, multimodal display tools within a fully tailorable environment. Third, we will support collaboration between teams of local and distributed personnel by providing a collaborative work environment that lets teams share and manipulate data sources in real-time, then digitally capture collaborative output. Fourth, we will assess the feasibility of our approach by leveraging existing in-house technology and other systems to rapidly design and prototype conceptual information display tools and collaborative capabilities for the PIECES system.

Company

Geocent, LLC
111 Veterans Memorial Blvd.
Suite 1600
Metairie, LA 70005-3044

Proposal Information 1011163 - Open Architecture for Spatial Information Services (OASIS)
Topic Information H-SB010.1-003 - Precision Information Environments
Award/Contract Number N10PC20201
Abstract

The numerous management tools currently employed for disaster response presents a barrier when attempting to share information across boundaries. This impediment is due to the different reporting formats, data storages, or incompatibility of software being deployed. Geocent proposes implementing multiple GIS open standards serves as the backbone for exchanging critical information to facilitate interoperability of multiple emergency management platforms. The use of well established open standards as the foundation permits agencies to maintain their present systems while having the capability to exchange critical information throughout the overall network, fuse data from disparate sources to create customized reporting, and enable first responders to view and input real time information to be shared throughout the network (network centric approach). The result is more accurate and actionable information, improved collaboration, and shorter decision cycles for all levels of government to respond to a disaster event effectively and efficiently. The ability to rapidly respond in a unified effort reduces a disaster`s impact to the Nation and expedites its transition to recovery.

Company

Truestone, LLC
13873 Park Center Dr
Suite 300N
Herndon, VA 20171-3247

Proposal Information 1011173 - DHS SBIR Program Phase I Program Solicitation FY 10.1 Science and Technology Directorate
Topic Information H-SB010.1-003 - Precision Information Environments
Award/Contract Number N10PC20200
Abstract

The technical objective of this proposal is to design a Precision Information Environment framework for DHS that synthesizes current and envisioned operational requirements with the latest research and technology while maximizing DHS`s current investment in command and control systems. In partnership with DHS funded Centers of Excellence, Truestone aims to leverage our corporate, research, and employee experience, as well as the results of operations, exercise and workshops as recent as December 2009, to deliver a framework with the optimum balance of existing systems and new capabilities. Benefits of successful completion of Phase One PIE development will result if realized through Phase III award in a dashboard PIE framework that leverages academic and industry expertise to provide users with access to tailored information that serves their day to day and emergent precision information needs within DHS and partnering homeland security communities at the federal, state, and local levels. Potential commercial application of the resulting PIE can follow a model similar to DoD`s fielding of its Global Command and Control System, a Government Off the Shelf software system based on a Service Oriented Architecture that breaks complex processes into individual components as a framework for developing and delivering IT systems.

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H-SB010.1-004

Company

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

Proposal Information 1011069 - Magnetically Switchable Explosives Vapor Isolator(1001-510)
Topic Information H-SB010.1-004 - Molecular Recognition for Explosives Detection
Award/Contract Number N10PC20205
Abstract

The proposed work details a Magnetically Switchable Explosives Vapor isolator which can be coupled to a wide variety of detection techniques. The Isolator works by initially isolating explosives from a vapor stream through a biologically analogous technique. When requested, the concentrated molecules are released to the detector through a magnetic switching mechanism. The proposed approach would allow for a vapor stream to be tested for multiple explosives, of varying chemistries, in a single pass.

Company

Infoscitex Corporation
303 Bear Hill Road
Waltham, MA 02451-1016

Proposal Information 1011073 - Aptamer-SPR technique and device for high sensitivity and high specificity of explosives detection (A-SPRED)
Topic Information H-SB010.1-004 - Molecular Recognition for Explosives Detection
Award/Contract Number N10PC20204
Abstract

A joint effort by several US military offices aims to create hand held platforms that will enable the real time detection and quantitation of a threat. Detection of explosives in the gas phase presents an extreme advantage for various homeland security applications and operations. However, direct detection of explosives in trace quantities in the air presents an extremely difficult problem due to potentially high aerial dilution of the vapors, unless the agent is collected from the air and concentrated in a liquid. To advance the state-of-the-art in in-air detection of explosives, Infoscitex Corporation (IST) proposes the development of a detection system based on an aptameric detection mechanism. Infoscitex will apply novel methods for isolation of aerially active aptamers in conjunction with ICX Technologies, Inc. to provide the Department of Homeland Security (DHS) with a versatile, high affinity, highly reliable explosives sensor.

Company

Seacoast Science, Inc.
2151 Las Palmas Drive
Suite C
Calrsbad, CA 92011-1575

Proposal Information 1011131 - Imprinted polymer nanoparticles for explosives detection
Topic Information H-SB010.1-004 - Molecular Recognition for Explosives Detection
Award/Contract Number N10PC20203
Abstract

This Small Business Innovative Research Phase I project consists of fundamental research into molecularly imprinted polymer (MIP) nanoparticles to act as sensing points in novel detection system for explosives. The system is based upon MIP nanoparticles deposited upon a MEMS-based chemicapacitive sensor array. As the MIP nanoparticle binds the explosive, the polarizability of the material changes thus affecting the measured capacitance on the sensor chip. The monomer, cross-linker, and template of the MIP nanoparticle will be systematically varied to optimize the detection of explosives. The MIP nanoparticles will be synthesized by Dr. David Spivak. Similar materials have been developed and investigated in his laboratory in the Chemistry Department at the Louisiana State University (LSU). Sensors coated with these materials will be tested using Seacoast Science`s test systems under varied environmental conditions. Tasks include: design, synthesis, and characterization of MIP nanoparticles; inkjet deposition of MIP nanoparticles; and testing of the coated sensors against one explosive simulant and environmental interferrents. The overall goal of this program is the development and demonstration of an inventive biologically-inspired sensing motif for the sensitive and selective detection of not only explosives but eventually a wide range of chemicals relevant to the mission of DHS.

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H-SB010.1-005

Company

Luminad Technologies
73 Pond St.,#1
Sharon, MA 02067-2059

Proposal Information 1011085 - Modeling of Iris Structure for Homeland Security Applications (MISHA)
Topic Information H-SB010.1-005 - Synthetic Biometrics
Award/Contract Number N10PC20211
Abstract

We propose to develop a physics-based framework for modeling iris texture, image acquisition conditions (in the broad sense) and other real-world effects related to iris biometrics. The framework is coupled to a special statistical procedure that allows generation of large-scale samples of iris images representative of a desired ethnic group. Our approach is based on the physics-based iris modeling approach available in the literature, extended and modified as appropriate. The main proposed innovation is special estimation and goodness-of-fit testing procedures that allow tailoring the parameters of the physics-based iris simulation scheme to specific iris image/s from a given database. The distinctive advantages of our modeling tool to be developed over Phases I and II, are the unprecedented level of realism of synthetic images, the ability to generate a large-scale sample representative of a target demographic population, and the ability to separately include numerous real-world effects. The market for such a product includes government agencies (DHS, FBI, NIST), academic organizations (biometric research) and commercial entities (developers of iris recognition algorithms and developers of iris recognition hardware systems).

Company

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

Proposal Information 1011120 - Differential Synthetic Biometric Sample and Template Generation
Topic Information H-SB010.1-005 - Synthetic Biometrics
Award/Contract Number N10PC20206
Abstract

Creation of large databases of synthetic biometric images to emulate and model system performance for identification is highly dependent on processing and encoding techniques resident in large-scale systems. To this end, IBG will conduct research to support development of software that generates synthetic biometric data. The software and its associated algorithms will incorporate image and feature data most relevant to the primary biometric identification modalities (fingerprint, face, iris) and the most commercially relevant techniques. This approach will maximize the variability in both atomic and clustered biometric templates in order to model performance at the extremities contemplated by biometric matchers. The proposed research will build on the state of the art of forensic biometric data analysis, physiological and behavioral analysis, and assessment of imaging and illumination technologies to develop a vendor-agnostic data generation capability. By balancing the conceptual limits of differentiated human physiology with a practical understanding of the manner in which biometric databases and indexes are created and exploited, the research will provide substantial short-term commercial benefits. The commercial applications for this software include licensing to biometric vendors, systems integrators, and algorithms developers involved in large-scale biometric system design, development, and implementation.

Company

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

Proposal Information 1011145 - Synthetic Biometrics with Life-Like Appearance
Topic Information H-SB010.1-005 - Synthetic Biometrics
Award/Contract Number N10PC20210
Abstract

DHS has a unique requirement to evaluate the performance of biometrics in extremely large systems. To address the requirement, we propose a novel and promising approach including three subsystems to generate large-scale realistic synthetic iris, fingerprint and face images matching the statistical and performance attributes of real-world data. For iris synthesis, we propose a novel and efficient solution, which uses patch-based sampling techniques. For fingerprint synthesis, we use Gabor-like space-variant filters for iteratively expanding an initially empty image containing just one or a few seeds. For face synthesis, we propose to develop the software on top of the commercial face generation software to generate a large-scale facial image dataset. To generate synthetic biometrics with life-like appearance, we will utilize an extensive set of biometrics features to transform synthetic biometrics into biometrics images which exhibit life-like characteristics. After generating independent biometric dataset, analysis tools will be developed to ensure all synthetic images have similar visual appearance, and texture/quality distribution compared with the real instances. After texture/quality and performance analysis, the qualified biometric images will be combined to generate a large-scale multimodal biometric dataset.

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H-SB010.1-006

Company

TrellisWare Technologies, Inc.
16516 Via Esprillo
Suite 300
San Diego, CA 92127-1728

Proposal Information 1011077 - Cheetah-Traks: Subterranean Navigation via Inertial Sensors and Multipath Resistant RF Ranging
Topic Information H-SB010.1-006 - GPS Resolution in Denied Location (GRIDLOC)
Award/Contract Number N10PC20207
Abstract

To support DHS`s goals of developing real-time positioning of first responder personnel TrellisWare Technologies proposes to extend and integrate two advanced systems for accurate position resolution in severe multi-path, GPS-denied environments such as subterranean tunnels. This approach will demonstrate the effectiveness of integrating these systems consisting of low drift inertial sensors with an iteration-based multi-path resistant RF communications/ranging radio to create a high precision denied GPS navigation solution called Cheetah-Traks. The proposed integration will focus on the enhancement of key metrics which have limited the success and accuracy of competing navigation solutions providing a tactically relevant navigation solution without compromising performance, ease of use and deployment, mobility, and scalability.

Company

Infoscitex Corporation
303 Bear Hill Road
Waltham, MA 02451-1016

Proposal Information 1011096 - GPS Resolution in Denied Locations (GRIDLOC)
Topic Information H-SB010.1-006 - GPS Resolution in Denied Location (GRIDLOC)
Award/Contract Number N10PC20208
Abstract

Latin American gangs exploit illegal border crossings to expand their sphere of influence in the United States. More than a hundred clandestine tunnels have been discovered beneath the US-Mexico border since 1990, and these tunnels are instrumental for drug smuggling and human trafficking. Clandestine tunnel detection has rapidly become a focus for the DHS, and the DHS is searching for methods to explore and map these tunnels remotely. GPS-equipped robots have been proposed for this use. However, GPS is currently accurate to only three meters at most, which is typically much greater than the tunnel diameter. Moreover, the GPS accuracy is further diminished underground, assuming that the GPS signal is even able to reach the receiver underground. Because many of these tunnels pass under private property, transmitting GPS signals via an embedded subterranean infrastructure is not an option. Infoscitex (IST) proposes GPS Resolution in Denied Locations (GRIDLOC), which combines wide-area-augmented GPS with accelerometer-based position estimation and a novel IST-proprietary biomimetic orientation tracker (BOT). GRIDLOC is not subject to angular drift or magnetic interference, and therefore produces significantly reduced sine error and dead-reckoning error when used with a three-axis accelerometer in a position estimation system.

Company

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

Proposal Information 1011130 - Geospatial Underground Tracking Solution (GUTS)
Topic Information H-SB010.1-006 - GPS Resolution in Denied Location (GRIDLOC)
Award/Contract Number N10PC20209
Abstract

The problem of accurate, reliable location in GPS denied areas is acute especially in the context of tunnel interdiction efforts at the US borders. Conventional technologies such as LORAN or inertial guidance methods are ill suited to the problems encountered in an underground environment. QTrack has developed a suite of geolocation solutions that are capable of providing better than 1m tracking metrics at 95 percent confidence. Furthermore, we have demonstrated that our Near Field Electromagnetic Ranging (NFER) based system is well suited to the problems of underground signal propagation (a demonstration of underground MOUT tracking can be viewed at our corporate website). This proposal is in support of developing an underground mapping and tracking solution for deployment by DHS for the purposes of tunnel interdiction. We anticipates developing a prototype Geospatial Underground Tracking Solution (GUTS) system by the end of Phase I and delivering a demonstration video to DHS.

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