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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. TOPMAST: Training Operational Performance via Measure Automation and Scenario-generation Technology

    SBC: APTIMA, INC.            Topic: N18AT003

    As the number of emerging warfare capabilities increases, adaptive training is required in order to keep pace with the corresponding increase in the scale and complexity of training regimes. To enable truly adaptive training, training systems need to both (1) automatically generate training scenarios and (2) automatically assess trainee performance. Lastly, (3) diagnostic visualization technologie ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Additive manufacturing for Li-ion batteries

    SBC: Physical Sciences Inc.            Topic: N18AT008

    Physical Sciences Inc. (PSI) will develop novel feedstocks for 3D printing of lithium-ion batteries using existing additive manufacturing technologies. Lithium-ion batteries simultaneously offering high energy and power density energy will be demonstrated using the novel feedstock materials. PSIs proprietary HA coating technology will be utilized in the feedstock formulations to maximize active ma ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Complete Lithium Ion Batteries Produced by Additive Manufacturing

    SBC: AKITA INNOVATIONS LLC            Topic: N18AT008

    Demand for portable power continues to expand, and new portable devices require increased variability in form factor. Furthermore, expired batteries may not be easily replaceable due to the lack of standard geometries. New manufacturing technologies are necessary to respond to each of the challenges. Additive manufacturing (AM) is a promising approach that is well known for its ability to quickly ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Layered Inference for Cyber Network Knowledge Synthesis (LINKS)

    SBC: Charles River Analytics, Inc.            Topic: N18AT019

    Providing effective cyber defense for the DoD is compounded by the fact there is not a single physical or logical entity that defines cyberspace. In reality, DoD networks are often composed of three disparate but interacting layers: a physical layer that defines the structure of the network (e.g., computers and routers), a logical layer that represents the static or dynamic state of data within th ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D-2 Incorporated            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Structurally efficient CMC-PMC air frames

    SBC: Physical Sciences Inc.            Topic: N18AT024

    The Physical Sciences Inc. (PSI) Team consisting of PSI, Draper Laboratories (Draper), and an airframe integrator are proposing a tunable hybrid composite structure capable of increasing the thermal operating performance by 500 C over conventional polymer matrix composites (PMCs). Our multifunctional composite approach combines PSIs low cost quasi-isotropic Ceramic Matrix Composite (CMC) system, a ...

    STTR Phase I 2018 Department of DefenseNavy
  7. Novel Hybrid Composite Skin Materials

    SBC: Triton Systems, Inc.            Topic: N18AT024

    Triton Systems, Inc. proposes to develop an affordable, lightweight and durable hybrid composite system for next generation structural frame composites with EMI shielding characteristics that will survive both short and long term thermal exposure, saltwater exposure. The team will develop a hybrid materials system that is an improvement on traditional carbon fiber reinforced polymer (CFRP) systems ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Jellyfish-Inspired Profiling Floats

    SBC: Boston Engineering Corporation            Topic: N18AT025

    With MEDUSAE, our world class team proposes to leverage our extensive experience, existing technology, and a unique approach to lightweight, long lasting, self-recharging jellyfish-inspired floats to fill an oceanographic sensing capability gap for the Navy. Our experience in bio-inspired robot (including jellyfish), nonconventional actuation, and energy harvesting development promises to provide ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command

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