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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.

  1. 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
  2. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Dynamic Dimension Technologies, LLC            Topic: AF19BT001

    This proposal addresses the Department of Defense (DoD) AI Strategy focus area streamlining business processes.Dynamic Dimension Technologies (DDT) proposes the use of AI and blockchain technology to automate and increase the security of Air Force base (AFB) security-gate, restricted area, and facility access processes.AI can automate AFB gate access to regular visitors (employees, military, etc.) ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Lyapunov Technologies LLC            Topic: AF19BT001

    Managing multi-level risks ranging from the fiscal/personnel resources to fluctuating material/production costs have always been challenges due to the integrated nature of Air Force (AF) with governmental and industrial partners.Establishing a quantitative framework that provides basis for making informed decisions on these pressing issues can greatly impact how Air Force strategically allocate va ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: ECSQUARED INC.            Topic: AF19BT001

    Petal is a novel bio-solar proposal to generate power using plant photosynthetic proteins combined to nanotubes bonded to a conductive substrate.The use of this architecture should allow for high efficiencies in the capture and harvest of photons and the generation of solar power in a very flexible format.This format will allow for scaling from micro to industrial scales.

    STTR Phase I 2019 Department of DefenseAir Force
  5. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: 4TH PHASE WATER TECHNOLOGIES LLC            Topic: AF19BT001

    Durable and robust large-area ultrathin CNT sheets can be produced from pristine CNT sheets following proprietary CNT purification and densification processes. The resulting CNT sheets are free-standing, flexible, durable, robust, ultrathin (< 5 m) and lightweight (~6 g per m2). They withstand corrosion and heat and are superior at shielding EMI (effectiveness >= 55 dB in the X band).

    STTR Phase I 2019 Department of DefenseAir Force
  6. 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
  7. Maritime Big Data Analytics

    SBC: Chesapeake Technology International Corporation            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
  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. 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
  10. Active and Passive Dampers Using Magnetorheological-Elastomers for Pilots Seat Vibration (DAMP)

    SBC: Intelligent Automation, Inc.            Topic: N191015

    The musculoskeletal injuries due to prolonged exposure to whole body vibrations have been associated with military aviation. This association continued to be identified as an issue of significant importance to the fleet. Chronic injury and fatigue have been identified as significant cost drivers to both the DoD and VA. Lost work days, reduced operational readiness, and increased medical costs (dur ...

    SBIR Phase I 2019 Department of DefenseNavy

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