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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. 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
  2. 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
  3. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. Tunable Active HEterodyne Terahertz Imager (TAHETI)

    SBC: LONGWAVE PHOTONICS LLC            Topic: A17AT007

    LongWave Photonics, Massachusetts Institute of Technology and Virginia Diodes are proposing the use of the Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for high dynamic range heterodyne imaging. Two single-mode, distributed feedback (DFB) QCLs with milliwatt power levels will be used as local oscillator and illumination for imaging. The QCLs will be downconverte ...

    STTR Phase I 2017 Department of DefenseArmy
  5. Engineered Strain for Bioconversion of Food Waste to Fuels

    SBC: Technology Holding, LLC            Topic: A17AT011

    The proposed strategy in this STTR proposal for bioconversion of food waste to butanol uses the well-described Clostridium acetobutylicum organism to convert the carbohydrate to the fuel molecule butanol. Based on our teams many years of work with butanol formation and genetic studies of the organism and the advancement of recently developed genetic methods, the team will develop a set of genetic ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Method for Locally Measuring Strength of a Polymer-Inorganic Interface During Cure and Aging

    SBC: SURFORCE, LLC            Topic: A17AT016

    Achieving strong and durable polymer adhesion to inorganic substrates under various environmental conditions is challenging. The required long-term durability tests are over long time- and length-scales, beyond the capability of current modeling, and extensive experimental testing is needed. Currently, no commercially available method exists for monitoring how a polymer/substrate system evolves du ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Method for Locally Measuring Strength of a Polymer-Inorganic Interface During Cure and Aging

    SBC: METNA CO            Topic: A17AT016

    A robust, versatile and portable test system will be developed based on the NMR relaxometry/diffusomtry principles for thorough, reliable, expedient and economical nondestructive evaluation of the polymer/inorganic interface structure and properties. NMR relaxometry/diffusometry probes sensitive volumes that can be moved to scan the interface. This nondestructive test measures a number of paramete ...

    STTR Phase I 2017 Department of DefenseArmy
  8. Anticipatory Analytics for Environmental Stressors

    SBC: ISCIENCES L L C            Topic: A17AT021

    Environmental stresses such as droughts, floods, storms, earthquakes, wildfires, pest infestations, volcanic eruptions, and infectious disease vectors are often key contributing factors to defense interventions, including humanitarian response, counter insurgency, and border control. As a result, early phase military planning activities need to incorporate systematic monitoring and forecasting of ...

    STTR Phase I 2017 Department of DefenseArmy
  9. RiskWatch: Linking Environmental Stressors to Security Outcomes

    SBC: INFERLINK CORPORATION            Topic: A17AT021

    Many environmental factors can potentially affect a communitys security. In this project, we propose to develop an open source system, called RiskWatch, for harvesting data from multiple sources and linking that data to security outcomes. Relevant data can potentially be found in a wide variety of sources, including structured, numeric data sets and images published by governments and NGOs, in na ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase I 2017 Department of DefenseArmy
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