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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. Effect of Surface Finish and Post-Processing on the Fatigue Life of Additively Manufacturing Parts

    SBC: Voxel Innovations, Inc.            Topic: N182126

    In response to the need for drastic surface finish improvement on additively manufactured metal components, Voxel Innovations Inc. has developed a novel manufacturing process termed: oscillatory pulsed electrochemical machining (O-PECM). O-PECM is a heat-free, stress-free, surface finishing technique capable of producing sub-200 nm Ra roughness. In O-PECM, a thin envelope of build material is prin ...

    SBIR Phase I 2019 Department of DefenseNavy
  2. Scalable Ultra-Short Pulse Laser System

    SBC: Aura Technologies Llc            Topic: N183139

    AURA Technologies proposes an innovative method of using an ultra short pulsed laser to create a plasma at a distance.

    SBIR Phase I 2019 Department of DefenseNavy
  3. SecMUASSecure Modular Unmanned Aerial Systems

    SBC: Secmation, LLC            Topic: N191037

    Unmanned Systems, such as Unmanned Aerial Systems (UAS), have become an essential element of US military operations. The rapid advancement of unmanned systems technologies and missions are requiring systems to evolve quickly. While techniques such as rapid prototyping can rapidly field new capabilities, the complexity of the software that controls these unmanned systems makes cybersecurity hardeni ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. Distributed Communications & Electronic Warfare

    SBC: Vadum, Inc.            Topic: N172110

    Vadum will develop and simulate a new beamforming protocol for Distributed Communications and Electronic Warfare (DCEW) that will implement distributed TX and RX beamforming algorithms between a cluster of nodes, such as unmanned aerial vehicles (UAV), and cooperative or uncooperative receivers. The Vadum approach uses an innovative Master-Slave architecture employing multiple input multiple outpu ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. beFIT for Adaptive Physical Training

    SBC: BioMojo, LLC            Topic: N172132

    This effort will leverage commercial wearable sensors to tailor physical fitness training to increase Marines physical fitness and readiness. Marines are not often given a clear set of protocols for exercises, nor given adequate tools to monitor their fitness levels. Part of this work is to align infantry task demands against physiological measures, then identify a set of devices suitable for main ...

    SBIR Phase I 2018 Department of DefenseNavy
  6. Develop a Methodology for Cyber-Electronic Warfare Battle Damage Assessment (BDA) using Game Theory

    SBC: VIGILANT CYBER SYSTEMS, INC            Topic: N141078

    Vigilant Cyber Systems, Inc. (VCS) has designed a Cyber Battle Damage Assessment Tool (CyBDAT) to quantify the probabilities associated with Computer Network Attack (CNA), Computer Network Exploitation (CNE) and Electronic Attack (EA) and allow for the direct comparison of cyber-attacks and kinetic attacks in mission planning. In Phase I VCS completed the high level design of CyBDAT, completed the ...

    SBIR Phase II 2018 Department of DefenseNavy
  7. Man Portable Wind Energy System

    SBC: Windlift            Topic: N153129

    The Windlift Man Portable Wind Energy System (MPWES) will produce 6 kW of renewable energy while weighing only 440 lbs. The renewable energy density (W/lb.) will be approximately seven times greater than a state of the art solar system, as represented by the GREENS system which is currently deployed by the USMC. Significant optimizations are possible in future design spirals that will allow the sy ...

    SBIR Phase II 2018 Department of DefenseNavy
  8. Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System

    SBC: Vadum, Inc.            Topic: N181046

    Vadum will develop a suite of algorithms that generate optimal Predicted Intercept Points (PIP) for the Aegis Weapons System (AWS). The Threat Prediction for Air Defense (TPAD) system will analyze kinematic profiles of threats attacking in raids or swarms, and generate optimal PIPs that maximize overall engagement success. TPAD will generate sets of PIPs in a shot sequence that prevent post-interc ...

    SBIR Phase I 2018 Department of DefenseNavy
  9. Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets

    SBC: CORVID TECHNOLOGIES, LLC            Topic: N181055

    Corvid Technologies proposes to develop a robust, fast running algorithm to calculate predicted intercept points (PIPs) for cooperative missile guidance of interceptors against multiple threats. These strategizes will determine the number of interceptors to be launched, their launch times, which threats they will engage, and will coordinate their flight paths to enhance lethality, avoid debris, an ...

    SBIR Phase I 2018 Department of DefenseNavy
  10. Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets

    SBC: Vadum, Inc.            Topic: N181055

    Vadum will develop a suite of algorithms that generate optimal engagement scheduling for the Aegis Weapons System (AWS) when faced with threats arriving in a swarm or raid. The Prediction, Optimization and Scheduling of System Engagements (POSSE) system will analyze kinematic profiles of threats attacking in raids or swarms, generate candidate Predicted Intercept Points (PIP), and produce an optim ...

    SBIR Phase I 2018 Department of DefenseNavy

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