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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Graspable Math Activities

    SBC: GRASPABLE INC            Topic: 91990018R0006

    Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  2. Development, Validation, and Implementation of CMC Algorithm into a Software Platform for Firearm Analysis

    SBC: Cadre Research Labs (Illinois) LLC            Topic: NA

    The research involves implementation of a comparison algorithm for firearm forensics. The Congruent Matching Cells (CMC) algorithm and its associated CMF, CMPS, and CMX methods have been developed by NIST yet do not appear in any commercially available software. As requested in the call for proposals, we will implement the algorithms in the C++ programming language, we will validate their performa ...

    SBIR Phase II 2018 Department of CommerceNational Institute of Standards and Technology
  3. Optical Device for Sorting Particles by Size

    SBC: En'urga Inc.            Topic: NA

    This Phase II SBIR project will continue the development of an optical sorter that will be used to estimate drop sizes in sprays. The optical sorter will determine the size of drops in the 0.1 to 10 microns range. Drops in this size range are prevalent in the automobile industry, where the fuel injection pressures have increased tremendously over the past two decades. These newer injectors provide ...

    SBIR Phase II 2018 Department of CommerceNational Institute of Standards and Technology
  4. Using Automated Abstractions to Classify System States for Software Health Monitoring

    SBC: Aries Design Automation, LLC            Topic: 9040477

    In most critical software systems, a state that is partially visible through values passed across interfaces contains information that could determine the health of the software system, and whether a failure is likely in the future. Some of this information behaves in a continuous fashion, e.g., the available memory or disk space is easily interpreted to monitor system health. Other values are nom ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
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