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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. TheSieve

    SBC: Cyber Point International, LLC            Topic: None

    CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  2. Developing Commercial Quantum Resistance Standard Based on Epitaxial Graphene

    SBC: Graphene Waves, LLC            Topic: None

    Graphene Waves proposes to develop a quantum Hall resistance (QHR) standard based on graphene that can be deployed for general electrical calibration in industries. Current QHR standard is based on GaAs/AlGaAs heterostructure and requires expensive liquid helium to operate. The continuous increase in price and unstable supply chain of liquid helium limit the QHR standard to be only affordable by t ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. Laser Particle Separation

    SBC: Opthos Instrument Company, LLC            Topic: None

    Parman Tech is dedicated to commercializing a NIST technology for sorting nano-particles. This technology uses the force of light to gently guide particles along different paths depending on the size of makeup of each particle.

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  4. FOR AGRICULTURE AND RANGE

    SBC: Earth Satellite Corpon            Topic: N/A

    NOAA AVHRR DATA HAS PROVIDED USEFUL QUALITATIVE INFORMATION IN AGRICULTURE AND FORESTRY APPLICATIONS. QUANTITATIVE APPLICATIONS OF AVHRR ARE HOWEVER IN THEIR INFANCY. STUDIES BY EARTHSAT PERSONNEL HAVE SHOWN THAT FOR ONE YEAR IN ONE LOCATION CORN YIELD CAN BE QUANTITATIVELY RELATED TO AVHRR VEGETATION INDEX COUNT VALUES. THE PROPOSED STUDIES WILL EXAMINE FURTHER QUANTITATIVE APPLICATIONS OF AVHRR ...

    SBIR Phase I 1985 Department of Commerce

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