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Awards

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

H-SB010.1-003
Precision Information Environments

N10PC20202 1011078
(FY10.1 Phase I)
Precision Information Environment for Collaborative Emergency Support (PIECES)

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

05/17/2010
to
11/30/2010
$99,737.08

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.

H-SB010.1-003
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

05/18/2011
to
11/17/2013
$749,968.00

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.

H-SB010.1-004
Molecular Recognition for Explosives Detection

N10PC20205 1011069
(FY10.1 Phase I)
Magnetically Switchable Explosives Vapor Isolator(1001-510)

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

05/17/2010
to
11/30/2010
$99,996.00

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.

H-SB010.1-004
Molecular Recognition for Explosives Detection

N10PC20204 1011073
(FY10.1 Phase I)
Aptamer-SPR technique and device for high sensitivity and high specificity of explosives detection (A-SPRED)

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

05/17/2010
to
11/30/2010
$99,941.91

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.

H-SB010.1-004
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

08/05/2011
to
08/20/2013
$749,403.00

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.

H-SB010.1-004
Molecular Recognition for Explosives Detection

D15PC00195 FY10.1-H-SB010.1-004-0001-CRPP
(FY10.1 CRPP)
Magnetically Switchable Explosuves Vapor Isolator (1002-241)

Triton Systems, Inc.
200 Turnpike Road
Chelmsford, MA 01824-4040

08/19/2015
to
08/18/2016
$199,950.90

The objective of this work is to accelerate the commercialization of the technology developed in the DHS SBIR Program under the SBIR Commercial Readiness Pilot Program. In this effort, Triton's pre-concentrator will be interfaced with a TSA approved ETD and tested with a range of trace explosives of interest to DHS. A packaging system will be designed that is appropriate for commercial use. Lifecycle costs will be determined. Test results will be submitted to TSL for further evaluation. The data-package of test results will be used to facilitate transition of the technology to TSA approved ETD suppliers.

H-SB010.1-005
Synthetic Biometrics

N10PC20211 1011085
(FY10.1 Phase I)
Modeling of Iris Structure for Homeland Security Applications (MISHA)

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

05/17/2010
to
11/30/2010
$100,000.00

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).

H-SB010.1-006
GPS Resolution in Denied Location (GRIDLOC)

N10PC20208 1011096
(FY10.1 Phase I)
GPS Resolution in Denied Locations (GRIDLOC)

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

05/17/2010
to
11/30/2010
$99,991.59

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.