Award Data

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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 June, 2020.

  1. Advanced Instrumentation for Non-Nulling Stack Velocity Testing

    SBC: AIRFLOW SCIENCES CORPORATION            Topic: None

    Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Continuous Monitoring of Natural Gas Infrastructure for Increased Community Resilience using Voltammetric Sensors

    SBC: FULLMOON SENSORS, INC.            Topic: None

    Fullmoon has the first chip-level sensors capable of identifying and quantifying molecules in the air. At the core of our technology are printed voltammetric sensors, which are operated using cyclic voltammetry, an electrochemical technique that probes for the redox potential, a unique signature of molecules. We have demonstrated this sensing principle for the detection of carbon monoxide and meth ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. Development of a Neutron-based Nondestructive Test Method for Concrete Petrography and Chemical Analysis

    SBC: TOURNEY CONSULTING GROUP, LLC            Topic: None

    To evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  4. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. Manufacturing Data Compiler for Visualization Based on Engineering-Driven Machine Learning

    SBC: OG Technologies, Inc.            Topic: NA

    There has been substantial development in data analytics. However, the complex mathematical formulation of “big data analytics” is difficult to populate in general manufacturing plants. There is a need for an SPC-like tool to enable the acceptance of the advanced data analytics and its visualization. The MD Compiler, a tool to bridge the gap between data available and the information demanded ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  7. Secure Role-Based System for Distributed Network Measurement

    SBC: POLLERE, INC.            Topic: NA

    Network measurement is a critical element in networks but it has largely been an afterthought and inadequately secured. With the emergence of Information-Centric Networking technologies, specifically the popular open source Named-Data Networking (NDN), there is the early stage opportunity to create a useful and flexible network measurement system that can accommodate a range of network probes. Thi ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  8. Self-Configuring Residential Conditioned Air Zoning System for Low Energy Homes

    SBC: Steven Winter Associates, Inc.            Topic: NA

    Steven Winter Associates, Inc. (SWA) hereby proposes to undertake research to develop a self-configuring residential conditioned air zoning system for low load energy homes. The Phase I prototype will feature zone nodes and a master controller. The zone nodes will measure and wirelessly report environmental conditions to the central controller, and modulate a damper based on commands received from ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  9. Dual Plane 3D Compton Scattering Imager with Pixelated CZT Detectors for 1-10MeV Gamma Ray

    SBC: H3D            Topic: NA

    A dual plane Compton imager prototype system with large volume pixelated CZT detectors will be built for spectrally resolved MeV gamma ray tomographic applications. These two planes will be operated at independent clocks and they will be synchronized via a common periodical pulse. The common periodical pulse is self-generated so it does not rely on external pulse generator. Each detector will be c ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  10. Compact Raman Fiber Optic Probe with Inline Spectral Filtering

    SBC: Nikira Labs Inc.            Topic: NA

    In this SBIR effort, Nikira Labs Inc. proposes to develop a compact Raman fiber optic probe with inline spectral filtering that improves fiber-coupled Raman measurements by filtering out Raman scattering from the excitation fiber and elastically scattered laser light from the collection fibers. The technology will enable compact fiber probes for Raman studies and complement existing NIST Raman spe ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
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