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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. A Tide To Table Traceability and Marketing System for Shellfish Aquaculture.

    SBC: Shellfish Solutions            Topic: 9101

    In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  2. OPEN WORLDS NOAA Portal

    SBC: Michigan Aerospace Corporation            Topic: 9302

    Many people recognize how critical it is to understand our weather, climate, and environment. Educators already use NOAA data and models in working with students and their communities as part of their teaching and outreach. With the exponential growth in data, however, many of them struggle with accessing and managing that data. Evolving data formats and computing requirements make it very challen ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  3. A NEW MACHINE LEARNING TECHNIQUE FOR ACCURATELY FORECASTING EXTREME PRECIPITATION FROM LANDFALLING ATMOSPHERIC RIVERS

    SBC: Innovim, LLC            Topic: 9503

    Atmospheric rivers transport large volumes of water vapor outside the tropics and when landfalling, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and damage. Accurate forecasts of precipitation during landfalling atmospheric rivers are critical because they play a large role in water supply and flooding. However, th ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Novel Algorithms for Remote Nuclear Detection and Classification

    SBC: APPLIED RESEARCH LLC            Topic: NGA192002

    We propose a novel software system for remote nuclear detection and classification. First, we propose to apply GADRAS or GEANT4 to generate training data for different combinations of nuclear materials and detectors. The training data contain spectral shapes of different detector responses. Second, we propose to use a Continuous Wavelet Transform (CWT) based technique for peak detection in spectr ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: NGA192004

    NGA seeks to incorporate Artificial Intelligence (AI) and Machine Learning (ML) to Intelligence, Surveillance and Reconnaissance (ISR) missions in the aim to capture fleeting targets, thus a large amount of dynamic scenes with accurate target motions and behaviors will be needed for training and performance evaluation. Traditional microscopic model based approach for vehicle activity simulation i ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  6. Underwater Adhesive for Coral Restoration

    SBC: METNA CO            Topic: 9201

    Coral transplantation is a primary management option for rehabilitation of degraded reefs. Stabilization (via adhesion, etc.) of transplants on existing reef or artificial substrates notably improves their survival rate. Improved underwater adhesives are needed for expedient and convenient stabilization of coral transplants with improved survival rate. A new hybrid organic-inorganic adhesive is pr ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Developmet of Universal SNP chips for Pacific White Shrimp

    SBC: Infini-SEA, LLC            Topic: 9103

    Pacific white shrimp is the most important species in shrimp aquaculture, making up the majority of the US$6.5 Billion worth of farmed shrimp imported into the US in 2017. The dominance of this species in shrimp aquaculture is due to the development of domesticated strains and years of continuous genetic improvement. Recent advancements in genome selection allow faster and more accurate selection ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  8. DeepCTIS: A New Low-Cost Hyperspectrual Imaging Module and Distributed Deep Learning Platform to Combat Illegal, Unreported, and Unregulated Fishing in the Marketplace at Scale

    SBC: Synthetik Applied Technologies LLC            Topic: 9202

    We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Video Tagging and Interpretability Rating (VTIR) Toolkit Assisting VNIIRS Ground Truth Experiment

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: NGA191002

    The Video National Imagery Interpretability Rating Scale (VNIIRS) defines different levels of interpretability based on the types of tasks an analyst can perform with videos of a given VNIIRS rating. DoD users of motion imagery rely on NGA to rate the interpretability of motion image clips and understand the factors affecting the VNIIRS of operational imagery. To develop and validate and verify an ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  10. VAST-CQA Video Annotation and Statistics Toolkit for Crowdsoucing Quality Assessment

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: NGA191002

    Intelligent Automation Inc. (IAI), along with our collaborators propose to develop a video tagging and statistics toolkit called VAST-CQA (Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment). The key idea of the proposed approach is to provide a video quality annotation toolkit which reduces the effects of bias, subjective assessment and other human factors using a set of ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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