Award Data

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

  1. Large Eddy Simulation (LES) Flow Solver Suitable for Modeling Conjugate Heat Transfer

    SBC: Kord Technologies, Inc.            Topic: N19BT027

    Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surfac ...

    STTR Phase I 2019 Department of DefenseNavy
  2. A Hierarchical and Extendable, Component-Based Simulation Tool for Aircraft Thermal Management Systems

    SBC: CFD Research Corporation            Topic: N19BT025

    The requirements for thermal management on tactical aircraft systems have reached a level at which integrated system design must be considered early in the aircraft design process. An integrated propulsion, power and thermal modeling and simulation design approach is necessary for reduced size, weight and power requirements. At the same time, there is an urgent need for capabilities that enable an ...

    STTR Phase I 2019 Department of DefenseNavy
  3. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH GROUP            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  4. REVAMP: REcommendation, Verification, and Analysis for Mission Planning

    SBC: Intelligent Automation, Inc.            Topic: N19BT029

    Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Atomic Triaxial Magnetometer

    SBC: Twinleaf LLC            Topic: N19AT006

    This project develops an atomically-referenced vector magnetometer with a goal of substantial improvements in the drift of the sensor relative to existing solid state sensors such as fluxgate magnetometers.

    STTR Phase I 2019 Department of DefenseNavy
  6. Atomic Triaxial Magnetometer

    SBC: Vescent Photonics LLC            Topic: N19AT006

    Vescent Photonics and MIT Lincoln Labs (MIT-LL) propose to develop a quantum-based vector magnetometer with low size, weight, power, and cost (SWaP+C) for Navy applications. The proposed system will rely on probing magnetically-sensitive, atomic-like transitions of nitrogen-vacancy (NV) centers in diamond to provide stable, high-bandwidth readout of the vector magnetic field with sub-picotesla sen ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Large Area Maritime Big Data Analytics (LAMBDA)

    SBC: Signal Systems Corporation            Topic: N191013

    Signal Systems Corporation will develop a Large Area Maritime Big Data Analytics (LAMBDA) system to improve P-8A operator performance by extracting target behaviors that improve P-8A crew tactics. In Phases I and II we will show the feasibility of improved mission performance using LAMBDA installed in TacMobile and provide a laptop system for post SBIR aircraft demonstrations. We will focus on top ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. MAI-BDA: Maritime Actionable Intelligence from Big Data Analytics

    SBC: Intelligent Automation, Inc.            Topic: N191013

    The Navy seeks big data technology to enhance decision-making during maritime missions. The success of military operations significantly depends on the level of situational awareness. For the P-8A Poseidon conducting long-range anti-submarine warfare and other mission areas, there is an exponentially increasing array of sensors and disparate information sources for inflight sensor operators to ana ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Maritime Big Data Analytics

    SBC: Chesapeake Technology International, Corp.            Topic: N191013

    Chesapeake Technology International's (CTI's) proposed solution for the "Maritime Big Data Analytics" small business innovative research (SBIR) program is the Omen Open Big Data Analytic Platform. Omen can be used to provide airborne processing of terabytes of sensor data while synchronizing to afloat and ashore enclaves via a roll-on tactical cloudlet approach. CTI's solution will build on experi ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Physics-Based Improvements for Continuous Active Sonar (CAS)

    SBC: Signal Systems Corporation            Topic: N181057

    Signal Systems Corporation proposes to develop and evaluate a novel motion-adaptive matched filter, tuning standard replicas to account for time-varying delays observed in received continuous active sonar (CAS) echoes. The method directly incorporates detailed physics models of the time-varying delays of linear frequency modulation (LFM) sweeps into the estimation algorithms, accounting for unknow ...

    SBIR Phase II 2019 Department of DefenseNavy
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