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Abstracts of DHS SBIR-2011.2 Phase I Awards
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H-SB011.2-001

Company

Signal Systems Corporation
877 Baltimore Annapolis Blvd.
Suite 210
Severna Park, MD 21146-4716

Proposal Information DHS SBIR-2011.2-H-SB011.2-001-0007-I - Three Dimensional Acoustic Sensing Unit (3DASU)
Topic Information H-SB011.2-001 - Low Power Tri-axial Acoustic Sensor
Award/Contract Number D11PC20241
Abstract

SSC proposes a low power tri-axial acoustic sensor that leverages our existing acoustic chambered design to provide a directional sensor that has high sensitivity, rugged construction with low power consumption. Our approach extends prototypes developed under DoD sponsorship, including DARPA, Army, Navy and Special Forces efforts. Our innovative chambered design provides a large physical aperture that includes novel wind noise reduction features without exposing sensitive microphone elements to the environment directly. The unit exhibits increasing acoustic gain at higher frequencies that help in classification of targets that have weak high frequency signature information.

Company

Aerogage Corporation
7 Matthew Lane
Sterling, MA 01564-1541

Proposal Information DHS SBIR-2011.2-H-SB011.2-001-0022-I - Low-power Tri-axial Acoustic Sensor
Topic Information H-SB011.2-001 - Low Power Tri-axial Acoustic Sensor
Award/Contract Number D11PC20240
Abstract

The objective of this topic is to develop an affordable directional acoustic sensor that can be employed with a UGS unit to track targets of interest. The proposed approach is to use an array of three microphones to generate accurate estimates of bearing (azimuth and elevation) of different types of acoustic sources, including aircraft, ground vehicles, and personnel. The proposal includes a novel signal processor that will improve the performance of the system over current approaches, including the ability to reduce the self-noise for the channels and to reduce the effect of wind noise. The proposed system will be low cost and will operate with low power dissipation and high accuracy.

Company

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

Proposal Information DHS SBIR-2011.2-H-SB011.2-001-0023-I - Acoustic Vector Sensor
Topic Information H-SB011.2-001 - Low Power Tri-axial Acoustic Sensor
Award/Contract Number D11PC20237
Abstract

U.S. Customs and Border Protection wants to extend unattended ground sensor (UGS) functionality to provide a real-time capability to track targets of interest. Progeny will develop Acoustic Vector Sensor (AVS) as a low-cost and low-power augment sensor to track airborne targets, with a small covert form factor and connecting to other UGS with a standard serial data and power interface. AVS has a compact sensor head that comprises an assembly of waterproof MEMS low-power microphones with supporting electronics and an outer foam windscreen, with proven directional acoustic processing developed for underwater submarine detection and tracking. AVS provides a real-time detection trigger and a 3-D vector line of bearing and elevation pointer, and near-real-time classification and target solution computation including range, altitude, course, and speed. Our AVS development program will add a Z-channel and a tilt-compensated compass to the sensor and new elevation angle measurement, detection, and track algorithms. UGS have intrinsic power and size limitations requiring system design tradeoffs to maximize capability and operational life, so we will integrate a very-low power microcontroller to host our autonomous detect and target pointing algorithms, which wakes a Digital Signal Processor to complete the classification and tracking process. A full range of raw and processed target data would be available to the host UGS for multi-sensor data fusion processing and to transmit contact reports. AVS is currently at TRL3, will mature to TRL4 by end of Phase I, and TRL6 by end of Phase II.

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H-SB011.2-002

Company

TIAX LLC
35 Hartwell Avenue
Lexington, MA 02421-3102

Proposal Information DHS SBIR-2011.2-H-SB011.2-002-0006-I - Improved Wipes for Surface Sampling of Chemical Agents on Porous Materials
Topic Information H-SB011.2-002 - Improved Wipes for Surface Sampling of Chemical Agents on Porous Materials
Award/Contract Number D11PC20244
Abstract

In this effort, TIAX LLC will evaluate the innovative combination of commercially available materials that will permit the efficient and reproducible extraction, collection, concentration, recovery and analysis of trace low volatility chemicals that may be present in porous surfaces such as concrete, brick, tile, or painted wallboard. This work builds upon the demonstrated ability of the materials to efficiently collect such compounds from solid surfaces and to permit their reproducible recovery for analysis. The development and evaluation of this enhanced surface wipe material and methodology will yield an approach to the sampling and analysis of surfaces that have been contaminated by low volatility, low water solubility organic compounds, such as toxic industrial chemicals or chemical warfare agents. After a chemical contamination event, the results obtained from this approach can be used for subsequent legal proceedings and also to verify cleanliness of porous surface materials after decontamination procedures have been applied. The identified wipe material and procedures will have wide commercial applicability to contamination evaluation and as such a wide market potential for use in environmental contamination scenarios. This Phase I effort will comprise a program to demonstrate and validate the proposed approach at a Technology Readiness Level of 4, "Component and or breadboard validation in a laboratory environment".

Company

EIC Laboratories, Inc
111 Downey Street
Norwood, MA 02062-2612

Proposal Information DHS SBIR-2011.2-H-SB011.2-002-0007-I - Highly Absorptive Nanostructured Chemical Wipe
Topic Information H-SB011.2-002 - Improved Wipes for Surface Sampling of Chemical Agents on Porous Materials
Award/Contract Number D11PC20242
Abstract

Wipe sampling provides a convenient method for determining if a surface is contaminated by chemical warfare agents (CWAs). In wipe sampling, a pad is wetted with solvent and wiped over the surface of interest. The pad is then extracted and the extract is analyzed for the presence of the contaminant. Many of the surfaces that are sampled in an emergency response, cleanup or clearance scenario are porous or absorptive. The removal of low-volatility chemicals by wipes from these surfaces is significantly more challenging than from hard, non-absorptive surfaces. We propose to develop a chemical wipe that removes significantly more contaminant from porous surfaces than is removed by currently available wipes. The new wipes will have structures that provide increased capillary action, absorptive capacity and the ability to penetrate into surface pores. In the Phase 1, we will fabricate wipes and rigorously measure their ability to wipe-sample a nerve agent stimulant from concrete and painted wallboard. The results will be compared to those obtained using standard cotton wipes. In the Phase II, we will optimize the wipe fabrication and perform extensive wipe-sampling evaluation using a wider range of surfaces and contaminants. The initial market for the wipes will be for the detection of CWA residue. However, the wipe pads will also be of significant value in other industries such as environmental monitoring, industrial hygiene, and security, as well as having use in the household markets. The technology will also likely have applications in protective fabrics and decontamination materials.

Company

XploSafe LLC
1414 South Sangre Road
Stillwater, OK 74074-1810

Proposal Information DHS SBIR-2011.2-H-SB011.2-002-0011-I - Development of liquid-polymer grafted wipes for improved surface sampling of chemical agents
Topic Information H-SB011.2-002 - Improved Wipes for Surface Sampling of Chemical Agents on Porous Materials
Award/Contract Number D11PC20243
Abstract

The proposed research and development activities will determine the scientific, technical, and commercial feasibility of the use of solvent-free liquid polymer-grafted surface wipes as novel materials that more efficiently removes low volatility chemical agent contamination from porous and absorptive surfaces than current materials.. The polymers will be able to extend into pores and dissolve the chemical weapons into the polymer matrix so that when the wipe is pulled away from the surface they are removed efficiently and can subsequently be separated from the wipe by a solvent. A marked increase in the effectiveness and reproducibility of sampling and analysis of chemical agents on porous, absorptive materials is expected. The elimination of volatile organic solvents will reduce the environmental and potential health effects of using wipes to sample surfaces. In Phase I, the following tasks will be performed in order to demonstrate the utility of this novel approach for a wipe system for sampling chemical weapons on surfaces: (1) Fabrication of wipes (cloth, paper, and glass microfiber) with a variety of polymer chain derivatives (2) Confirmation that contaminants are not present in the wipes that will interfere with chemical analyses (3) Testing of the release of chemical weapon surrogates from wipes spiked with the surrogates (4) Testing of the wipes that pass Tasks 2 and 3 for overall efficiency of removal of chemical weapon surrogates from surfaces (uncoated and coated concrete, painted wallboard, unglazed ceramic tile, and brick) (5) Determination of sampling and analytical reproducibility (6) Determining the effects of storage

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H-SB011.2-003

Company

Cybernet Systems Corporation
3885 Research Park Dr.
Ann Arbor, MI 48108-2217

Proposal Information DHS SBIR-2011.2-H-SB011.2-003-0004-I - Automated Flash Memory Analysis
Topic Information H-SB011.2-003 - Mobile Device Forensics
Award/Contract Number D11PC20247
Abstract

Electronic devices used in criminal activity provide excellent evidence when examined, which is getting increasingly difficult as devices shrink and tools fall behind in capability. Law enforcement face an uphill battle to stay ahead of the latest technology changes since devices evolve so quickly. Central to all of these devices is the role of flash memory, which is the long-term storage available on almost all devices. As a result of these trends, there is a need to be able to obtain data from flash memories. Factors hindering obtaining useful data from seized flash chips are: 1) there is no standard way to access flash chips, 2) ordering mixed data blocks is like jigsaw solving, and 3) after reordering the data needs converted into usable pieces. Our solution is a hardware/software combination that allows software controlled reading of any chip type through programmable logic. Resulting raw data is reorganized with a software tool we developed that operates by finding "fingerprints" of various data objects, then leverages knowledge of what must be nearby to weed out false positives and obtain more fingerprints, incrementally ordering the blocks correctly. A data view orders objects, presenting multiple views of the data suitable for forensic analysis

Company

viaForensics
1000 Lake Street
Suite 203
Oak Park, IL 60301-1131

Proposal Information DHS SBIR-2011.2-H-SB011.2-003-0006-I - Sub-topic 1. NAND/NOR Chip Forensics
Topic Information H-SB011.2-003 - Mobile Device Forensics
Award/Contract Number D11PC20245
Abstract

Mobile devices are increasingly utilized in criminal and terrorist activities. These devices are an important source of evidence to law enforcement officers and forensic examiners. Since inception, viaForensics has developed innovative tools and techniques for officers and examiners leveraging the latest technologies in mobile device forensics. viaForensics has previously developed forensically sound tools and techniques for analyzing NAND flash memory in Android mobile devices, and is uniquely positioned and prepared to extend this research. One of the primary challenges in forensic imaging of flash memory is that, unlike mechanical hard disks, flash memory is in a constant state of flux. Memory management transactions are ongoing within the memory independent of external activity. viaForensics proposes to continue its innovation by conducting research and development efforts toward creation of a NAND memory write blocker, as well as tools and techniques for complete, bit-by-bit forensic imaging of NAND flash memory chips. In Phase I, viaForensics will research expanding the existing tools and techniques to include the ability to decipher the wear leveling and other memory management algorithms of NAND flash memory. The research will also include investigation and feasibility analysis of methods for implementing a NAND memory write blocker. In phase II, the tools and techniques will be further developed for use on a wider range of devices and flash memory types, and a prototype of the NAND memory write blocker will be developed.

Company

EWA Government Systems, Inc.
13873 Park Center Road
Suite 500
Herndon, VA 20171-3251

Proposal Information DHS SBIR-2011.2-H-SB011.2-003-0008-I - Methods to Unlock PIN/PUK Codes from SIM Cards
Topic Information H-SB011.2-003 - Mobile Device Forensics
Award/Contract Number D12PC00301
Abstract

This SBIR Phase I project for subtopic 2 under topic H-SB011.2-003 will develop technology to successfully decrypt SIM cards by acquiring or bypassing personal identity number (PIN) and personal unlocking key (PUK) codes from locked SIM cards. Cellphones and other mobile devices play an increasing role in criminal and terrorist activity. SIM cards lock either with a PIN or PUK that disables direct access to, and examination of, data on the SIM. We will develop and design a small portable forensic system that will connect to a computer or PDA. The forensic system will perform two very different methods to extract or bypass the security codes: one method is based on side channel analysis and the other method is to modify the software on the card to read the data. The results from both methods are returned to the user for further analysis. The technical objectives of this Phase I project are to demonstrate a proof-of-principle measurement using these methods and to design a small, lightweight package for the system.

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H-SB011.2-004

Company

Alakai Defense Systems, Inc
7935 114th Ave N
Suite 1100
Largo, FL 33773-5028

Proposal Information DHS SBIR-2011.2-H-SB011.2-004-0004-I - Scanning Eye-safe UV Raman Explosives Detection System
Topic Information H-SB011.2-004 - Short Standoff Checkpoint Detection Systems for Explosives
Award/Contract Number D11PC20248
Abstract

Alakai proposes to breadboard and design the Chemical Explosives Detection Scanner (CEDS), an Eye-safe, deep UV Raman Scanner/imager to detect explosives chemicals and their precursors, for short standoff trace explosive detection. This system could eventually be integrated into DHS's Advanced Imaging Technology (AIT) system to provide a chemical signature of explosives thereby improving the screening effectiveness of personnel and baggage. Alakai is a leader in Standoff UV Raman for DoD applications, as evidenced by being the first known company to undergo an Army technical, operational and human factors evaluation of their standoff checkpoint explosive detection system. This system has detected Ammonium nitrate at trace concentrations in 1s at 25m range and bulk in 1s at 100m range. Alakai can leverage its existing UV Raman capability (proven hardware performance, existing UV Raman library and detection algorithm) to customize a completely eye-safe UV Raman system for TSA screening applications. Utilizing well known scaling equations this performance extrapolates to detection of ~1ng/(cm*cm) of Ammonium nitrate in 1s at a range of 50cm using a small aperture system. In this Phase I project, Alakai will perform key experimental trade studies, construct a small breadboard scanner and complete a conceptual system level design of a UV Raman scanner for DHS/TSA applications. Once integrated into AIT's, this could provide valuable standoff chemical detection of trace quantities of explosives on personnel and baggage which would greatly enhance the screening effectiveness.

Company

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

Proposal Information DHS SBIR-2011.2-H-SB011.2-004-0019-I - Standoff Explosive Particle Spectrometer (SEPS)
Topic Information H-SB011.2-004 - Short Standoff Checkpoint Detection Systems for Explosives
Award/Contract Number D11PC20250
Abstract

US Government Agencies have recognized the need for checkpoint inspection technology at airports to deter the transporting of destructive weapons or illegal materials into or within the United States since the early 1970s. Since 9/11 the Government has been vigorously supporting development and deployment of ever improving policies and technologies to provide an ever-present, yet non invasive, safeguard for our citizens. Among the tools employed for checkpoint screening, chemical trace detectors enabling rapid analysis of microscopic trace particles on a person or package have been a very effective technology. Yet, trace detectors are limited by the difficulty of transporting particles to the sensor since explosive molecules are extremely nonvolatile or sticky. This has traditionally required taking swipes of the target person or bag and heating the swab for analysis in an Ion Mobility Spectrometer (IMS) instrument. DHS is seeking stand off detection of trace explosive particle without the need for collecting the particles in an IMS (or Time of Flight Mass Spectrometer) sensor. To respond to this situation SLI is proposing an innovative exploitation of the Coherent Anti-Stokes Raman Spectroscopy (CARS) technology to develop a Standoff Explosive Particle Spectrometer (SEPS). Data and modeling in Phase I will enable SLI to expand on previous laboratory techniques to optimize the technology for detecting a wide range of explosive species in real-world screening environments. In this application, the safety of both passengers and operators must be considered and regulatory safety requirements for human exposure must be met.

Company

Bodkin Design & Engineering, LLC
77 Oak St
Suite 201
Newton, MA 02464-1460

Proposal Information DHS SBIR-2011.2-H-SB011.2-004-0033-I - Stand-off Explosives Detection by Photothermal Emission Imaging
Topic Information H-SB011.2-004 - Short Standoff Checkpoint Detection Systems for Explosives
Award/Contract Number D11PC20249
Abstract

TSA is seeking techniques for non-contact detection of trace explosive residue on a person's body, clothing or baggage. A TSA checkpoint screens about 200 passengers per hour. TSA is already deploying millimeter wave and backscatter x-ray Advanced Imaging Technologies (AITs) to enable Transportation Security Officers to detect non-metallic anomalies beneath clothing. TSA is now seeking a trace explosives sensor that would be integrated into the AIT system and operate concurrently, thereby minimizing sensor footprint and impact on passenger throughput. Bodkin Design & Engineering is will develop a resonant photothermal imaging system for explosives residues on personnel and clothing. The system will be designed to be integrated with the existing AIT scanners and to measure all exposed surfaces of an entire person in less than 20 seconds. The initial effort will target explosive materials TNT and RDX as well as ammonium nitrate and urea nitrate.

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H-SB011.2-005

Company

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

Proposal Information DHS SBIR-2011.2-H-SB011.2-005-0005-I - Iris Image Quality Tool Suite for Biometric Recognition
Topic Information H-SB011.2-005 - Iris Image Quality Tool Suite for Biometric Recognition
Award/Contract Number D11PC20253
Abstract

Iris recognition is an established and successful biometric technology. It is used in clearing travelers in the UK, for border control in the UAE, and as a part of Indias Unique ID program. However, there remain significant challenges to be addressed as iris recognition matures into a viable technology which can successfully handle applications at a national level. One such important issue that the iris biometric community continues to address is the assessment and determination of iris image quality prior to analysis and enrollment of an individual. Partnering with domain experts at the West Virginia University and professors from the University of Notre Dame, Progeny Systems proposes to advance the state of iris quality metrics by developing mathematical models and algorithmic procedures which operate both in the spatial and frequency domain of segmented iris images. These metrics will be complimented with a number of new iris quality metrics that will be outlined in this proposal. When combined, the two sets of metrics are expected to provide a means to measure each quality factor listed in IQCE report. We expect that solutions that we develop will become standard elements of new commercial iris biometric systems.

Company

DL2 Tech Corporation
7331 Oxbridge Place
Indianapolis, IN 46259-5826

Proposal Information DHS SBIR-2011.2-H-SB011.2-005-0010-I - Development of a Standard-based Iris Image Quality Tool Suite
Topic Information H-SB011.2-005 - Iris Image Quality Tool Suite for Biometric Recognition
Award/Contract Number D11PC20251
Abstract

In this project, we will design a standard-based, robust, and efficient iris image quality measure tool. It can be used to select the images of sufficient quality for inclusion in the biometric repository database(s), improve collection processes, and develop quality-based iris matching algorithms. At the same time, it can be incorporated into iris recognition systems as plug-ins to improve recognition accuracy and efficiency. In this project, we will leverage our access to commercial iris recognition software and systems, our in house algorithms and systems, and variety of databases for our analysis and study. DL2Tech will work closely with our academic partner IUPUI in designing/developing this tool, and Raytheon for testing/evaluating and commercialization. We will participate in the NIST IREX for testing and evaluation. The proposed measure method can also help the development of the ISO/IEC 29794 Biometric sample quality - Part 6: Iris image data.

Company

Neya Systems, LLC (formerly Rhobotika, LLC)
145 Pine Rd
Evans City, PA 16033-3323

Proposal Information DHS SBIR-2011.2-H-SB011.2-005-0011-I - A Machine Learning Approach to Assessment of Image Quality through Prediction of Iris Recognition Success
Topic Information H-SB011.2-005 - Iris Image Quality Tool Suite for Biometric Recognition
Award/Contract Number D11PC20252 (Phase I)/D12PC00493 (Phase I Option)
Abstract

It is clear from prior research that quality metrics can predict and improve recognition performance. As we add new quality metrics, however, determining a weighting scheme using simple rules for their combination becomes infeasible. This argues for a machine learning approach that will automatically determine the optimal weighting. We propose to develop a large set of quality metrics based on requirements set down in the IREX II/IQCE evaluation. These metrics will form a feature vector supplied to a novel manifold-learning algorithm developed recently for function approximation, which will be trained to predict the performance of stages in various iris recognition algorithms as well the algorithms' final recognition performance. Applying standard feature selection techniques, our system will also automatically determine a weighting for the features to be used, identifying features that contribute little and can be eliminated. The final quality metrics will be combinations of the outputs of the feature extractor associated with the metrics and their weighting as determined by our system. Such a flexible image quality assessment system would have application beyond iris recognition to other areas in biometrics, such as face recognition, but also to domains such as stereovision, visual odometry, and general object recognition. Image quality metrics are largely at the level of proof-of-concept demonstration on available datasets. Our work will take this technology from TRL 3 to TRL 4 by integrating the metrics with recognition algorithms by acting as a front-end predicting performance and so indicating whether an image is adequate to the task.

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H-SB011.2-006

Company

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

Proposal Information DHS SBIR-2011.2-H-SB011.2-006-0003-I - Dynamic Information Environment for Coordinated Attribution of Symbol Traits (DIE-CAST)
Topic Information H-SB011.2-006 - Intelligent 'Object' Symbology
Award/Contract Number D11PC20254
Abstract

Emergency responders are tasked with maintaining awareness of a massive number of disparate pieces of information, garnered through a broad variety of electronic sources (e.g., emergency alerting systems, semi-structured RSS feeds, computer-aided dispatch). To be effective, these responders need support tools that allow them to automatically visualize and track the location, type, and status of emergency events and relief efforts in real-time within map-based displays. These tools must: (1) provide an intuitive, dynamic symbol system for automatically incorporating mission-critical event and resource data within a visual representation that allows emergency responders to spatially perceive and understand key needs and pain points; (2) provide real-time awareness of shifts in event conditions through direct, intuitive access to decision-critical meta-information that is typically buried within the display, if available at all; and (3) incorporate the contextual awareness of emergency responders by facilitating tailoring of generated symbols as the situation evolves. To help emergency responders more efficiently understand and track the status of crisis events in real-time, we propose a Phase I effort to design and demonstrate the feasibility of a Dynamic Information Environment for Coordinated Attribution of Symbol Traits (DIE-CAST). DIE-CAST will use an intelligent, meta-information driven symbol attribution system to automatically provide emergency responders with dynamically updated representations of mission-critical events and resources within an intuitive geospatial context. This environment will increase the efficiency and effectiveness with which information is used and shared by responders from distinct disciplines, jurisdictions, and response levels, dramatically increasing the speed and success of emergency operations.

Company

Physical Optics Corporation
20600 Gramercy Place, Building 100
Torrance, CA 90501-1821

Proposal Information DHS SBIR-2011.2-H-SB011.2-006-0020-I - Web-based Intelligent Extraction of Symbology based on Contextual Information
Topic Information H-SB011.2-006 - Intelligent 'Object' Symbology
Award/Contract Number D11PC20255
Abstract

To address the DHS need for intelligent symbology technologies, Physical Optics Corporation (POC) proposes to develop new Web-based Intelligent Symbology Extraction based on Context (WISEC) incorporating intelligent text stream processing (ITSP), an entity-attribute-value (EVA) model, and progressive automatic creation of symbology (PACS). The WISEC will offer intelligent symbology generation, updating, and management that interact with structured or unstructured data sources, identify keywords and named entities, generate or update appropriate symbols, coreference activities/incidents, store them in a central database with no downtime, and provide information relevant to the interest and mission of the end user. In Phase I, we will demonstrate the feasibility of the WISEC by developing its architecture and components and integrating them into a prototype for testing and evaluation in two scenarios: intelligent symbology for crime alerts (iPAD application) and intelligent symbology for public safety alerts (Web application). Performance metrics will be developed. At the end of Phase I, the technology readiness level (TRL) reached will be 3. In Phase II we plan to develop a WISEC prototype, integrate it with popular browsers and geospatial applications, test it using public data sources, evaluate it using the performance metrics developed, and deliver it to the DHS. The successful completion of this project at the end of Phase III will benefit the nation in both government and commercial sectors by providing intelligent symbology with standard data representation that is sharable among various communities. Commercial applications for this technology include business intelligence, text analytics, and enterprise content management and archiving.

Company

Digital Sandbox Inc.
8260 Greensboro Drive
Suite 450
McLean, VA 22102-4901

Proposal Information DHS SBIR-2011.2-H-SB011.2-006-0027-I - Natural Language Processing and Prioritization for Contextual Symbolic Rendering
Topic Information H-SB011.2-006 - Intelligent 'Object' Symbology
Award/Contract Number D11PC20256
Abstract

With the desire to be prepared for possible threat scenarios, DHS has access to data, but it can be disparate with a mix of structured and unstructured data in very large quantities. Information from a variety of sources needs to be ingested and processed in order to determine the "what, when, where, and how bad", then presented geospatially for monitoring and analysis purposes. Constructing and maintaining a single representation of an incident ("object") which is updated over time as the details of the situation change is essential, along with the ability to prioritize the incidents being displayed to focus attention. To address these challenges, Digital Sandbox will conduct research and demonstrate software prototypes focused on the analysis, prioritization, and presentation of contextual symbolic information. The resulting capability will improve operational situational awareness at a fraction of the cost and time possible with existing technology and approaches, especially for organizations tasked with public safety operations and intelligence analysis.

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