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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 April, 2020.


    SBC: Nanosonic Inc.            Topic: N19BT030

    During the proposed Navy STTR program, NanoSonic and Virginia Tech will design and synthesize innovative, high strength ceramic nanocomposite microcapsules filled with > 80 volume percent water that are empirically optimized to function as readily dispersed powdered additives with long-term water retention, durability during air craft bladder production, and rupture during ballistic shock. NanoSon ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: Luna Innovations Incorporated            Topic: N19BT030

    The Navy is actively developing a self-sealing, water-activated fuel bladder to mitigate fuel leaks upon mechanical shock (e.g. penetration by a .50 caliber bullet). To circumvent the requirement of an external water source to activate the self-sealing, this system will require water-filled microcapsules that can be incorporated directly into the polymeric matrix of the fuel bladder. Upon mechanic ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Maritime Agile Intelligent Data Exploitation Network (MAIDEN)

    SBC: Colvin Run Networks, Inc.            Topic: N191013

    Colvin Run Networks, LLC presents the Maritime Agile Intelligent Data Exploitation Network (MAIDEN), extending and integrating leading commercial off-the-shelf and open source analytical tools to support mission objectives with enhanced situational awareness. MAIDEN is built on a scalable and highly flexible analytics architecture supplemented with proven iterative data mining techniques to unlock ...

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


    The success of military operations depends on operators ability to consume and assess relevant tactical data. The amount of data available to a P-8A operator is growing exponentially. While this increased volume and variety of data provides more DCL (Detection, Classification and Localization) opportunities, it also increases the risk of cognitive overload for operators. This is especially true fo ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Repurposing Computational Analyses of Tactics for Training Assessments

    SBC: Prevailance, Inc.            Topic: N18AT003

    Data generated by training exercises needs to be consolidated and processed to derive more efficient, effective and adaptive training scenarios through training objective and measures of performance analysis. The main technical challenges addressed by this solution are: data from diverse sources must be pre-processed (i.e., validated, cleaned, synchronized) and loaded into a data warehouse; the ce ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Air Crew Endurance System (ACES)

    SBC: Luna Innovations Incorporated            Topic: N191015

    Musculoskeletal pain and discomfort have been known in the rotary wing community for at least 50 years. A combination of poor seat ergonomics and cockpit design dictated by crash dynamics in concert with whole body vibrations have resulted in airframes that actively promote poor posture and induce high rates of pain within the community. This endemic back pain within the community is accepted as p ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. High Performance Computing (HPC) for AEGIS Combat Systems Test Bed (CSTB)


    As our nation encounters continuously evolving threats to the warfighter, simulators are critical to the development and advancement of Naval combat systems. Simulators provide the capability to execute scenarios under similar input conditions to that of a tactically deployed platform. The Combat System Test Bed (CSTB) is a key Navy Modeling and Simulation (M&S) solution allowing users to simulate ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. High Performance Computing (HPC) for AEGIS Combat Systems Test Bed (CSTB)

    SBC: Technology Service Corporation            Topic: N191019

    The Combat system test bed High performance computing Architecture independent Dynamic Scheduler (CHADS) is a proposed solution for SBIR N191-019. The design is loosely based off of HTCondor, an open source priority-based command-line task scheduler, with significant additions. The primary major technical contribution of this design is that performance statistics are educed over time for the targe ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Automatic Threat Radar Waveform Recognition

    SBC: Azure Summit Technology, Inc.            Topic: N191011

    As sensors become more software definable, the ability to add additional capabilities to them becomes desirable as SWaP is always a premium, especially on airborne platformsboth manned and unmanned. The same can be said for apertures. The prevailing standard is that each sensor has its own aperture. In reality, that does not have to (and should not) be the case. In the high-band and low-band chass ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Cognitive Maritime Imaging-- 18-111 Phase II

    SBC: METRON, INCORPORATED            Topic: N181066

    An adaptive cognitive maritime imaging (CMI) solution is proposed to automatically adjust camera settings in response to dynamic and challenging environmental conditions to maintain optimal performance of the Integrated Submarine Imaging System (ISIS). The CMI framework introduces a feedback control element to the existing ISIS system that recommends new camera and processing configurations to max ...

    SBIR Phase II 2019 Department of DefenseNavy

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