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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. Next-Generation, Power-Electronics Materials for Naval Aviation Applications

    SBC: Sixpoint Materials, Inc.            Topic: N18AT004

    This STTR project develops an innovative seed fabrication technology to address the fundamental size-quality limitation of gallium nitride (GaN) substratesthe indispensable key component for GaN-based vertical high-power devices. Currently, there is no viable GaN technology to realize large-area and low-defect substrates simultaneously. The technology producing 6" and larger GaN wafers results in ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Innovative additive manufacturing (AM) process for successful production of 7000 series aluminum alloy components using Smart Optical Monitoring Syste

    SBC: Sensigma Llc            Topic: N18AT005

    Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes falls short of producing 7000 series Al alloys successfully due to lack of porosity, thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and other m ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Concrete Materials Characterization (COMAC)

    SBC: Luminit LLC            Topic: N18AT006

    To meet the U.S. Navy, specifically PMA-201, need for nondestructive evaluation (NDE) of concrete, including evaluating its strength, material properties, and damage localization, Luminit, LLC, and Southern Illinois University (SIU) propose to develop a novel Concrete Materials Characterization (COMAC) system, combining several methods of concrete characterization into a single sensor/software com ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Active Imaging through Fog

    SBC: SA Photonics, Inc.            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency

    SBC: RAM LABORATORIES            Topic: N18AT027

    The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...

    STTR Phase I 2018 Department of DefenseNavy
  6. 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
  7. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  8. 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
  9. 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
  10. Non-Destructive Concrete Interrogator and Strength of Materials Correlator

    SBC: Karagozian & Case, Inc.            Topic: N18AT006

    Karagozian & Case Inc. and the University of Nebraska-Lincoln Department of Civil Engineering are proposing a Phase I STTR to develop a non-invasive and non-destructive methodology capable of measuring concrete material properties, including relevant spatial and statistical information associated with them, for input to hydrocode models. The solution will be both laboratory and field deployable, w ...

    STTR Phase I 2018 Department of DefenseNavy
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