Award Data

For best search results, use the search terms first and then apply the filters
Reset

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

  1. Applying Passive Samplers to Assess Perfluoroalkylated Substances in Soils and Sediments

    SBC: Accurate Environmental LLC            Topic: 17NCER3A

    The presence of per- and polyfluoroalkyl substances (PFAS) in the environment represents an emerging issue due to their stability, bioaccumulation potential, and risks to human and ecological well-being. There is a critical need to develop sampling methods for PFAS to assess risks and inform remedial investigations and feasibility studies (RI/FS) at locations where historical releases have elevate ...

    SBIR Phase I 2018 Environmental Protection Agency
  2. Development of Innovative Broad-Spectrum Analysis Methods for PFAS

    SBC: SEACOAST SCIENCE, INC.            Topic: 17NCER3A

    This SBIR addresses EPA’s need for improved sampling and analysis technologies to detect Per- and Polyfluoroalkyl Substances (PFAS). PFAS are used in firefighting sprays, at airports, and for wild fires, and have been used in textile treatments (e.g., it is a component in Scotchgard). It is estimated that 65 million Americans are at risk of PFAS exposure in their drinking water. Seacoast propose ...

    SBIR Phase I 2018 Environmental Protection Agency
  3. Renewable Bioplastics Production

    SBC: Altex Technologies Corporation            Topic: 17NCER5A

    Altex’s Renewable Bioplastics Production (RBP) technology meets the Greener Plastic Manufacturing needs; to eliminate harmful-petrochemical feed sources, to accomplish toxic-free, low-energy, low cost bioplastics production, to reduce Green House Gas (GHG) emissions, and to have environment friendly-biodegradable bioplastics. Altex’s proposed RBP technology combines a novel feeding-sizing-pret ...

    SBIR Phase I 2018 Environmental Protection Agency
  4. Greener Plastics with High Heat Tolerance for Additive Manufacturing

    SBC: Intelligent Optical Systems, Inc.            Topic: 17NCER5B

    Advances in materials and automation are rapidly reshaping the American manufacturing economy. These advances must be embraced to sustain a strong manufacturing sector in the United States. Additive manufacturing is possibly the fastest growing example of this trend, growing at an astonishing compound annual growth rate of 25.7%. The plastic materials market for additive manufacturing, valued at $ ...

    SBIR Phase I 2018 Environmental Protection Agency
  5. Feasibility of rPET Lignin-Content Polylols for Significant Reduction of Halogenated Flame Retardant in Construction Spray Foam

    SBC: Resinate Materials Group, Inc.            Topic: 17NCER6A

    This EPA SBIR Phase I Research and Development proposal will demonstrate feasibility of reduction in halogenated flame retardant use in polyisocyanurate foams prepared from lignincontent rPET polyols. The study will show whether or not the lignin rPET polyol formulations meet ASTM flame retardancy standards and thus reduce or eliminate the need for halogenated fire retardants (HFRs) in spray foams ...

    SBIR Phase I 2018 Environmental Protection Agency
  6. Formulation and testing of an entirely wood-based exterior insulation board for the high-performance building market

    SBC: GO Lab Inc.            Topic: 17NCER6B

    The goal of this project is the formulation a rigid, insulating, low-density wood composite, with physical and thermal properties comparable to fossil fuel derived foams. _x000D_ _x000D_ To achieve energy conservation standards mandated by certification agencies such as Passive House and LEED, high performance buildings require multiple shells of insulation – an inner shell that contains electri ...

    SBIR Phase I 2018 Environmental Protection Agency
  7. 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
  8. 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
  9. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
US Flag An Official Website of the United States Government