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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  2. SNAPSHOT: A System for Predicting Human Physical Traits from Sample DNA

    SBC: PARABON NANOLABS, INC.            Topic: DTRA102007

    OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  3. Numerical Model of Subsurface Transport of Noble Gases in Fractured Geologic Media for Detection and Identification of Subsurface Nuclear Explosion Te

    SBC: MODERN TECHNOLOGY SOLUTIONS, INC.            Topic: DTRA111002

    Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  4. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association.A key innovation here is creating a new classifi ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency

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