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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. (4) Deep Defense of Distributed Deep Learning (D4L)

    SBC: EH GROUP            Topic: N193A01

    This project aims to achieve trustworthy deep learning (TDL)-based distributed computation among wireless connected Naval devices (sensors, UAVs, mobile phones, ships, etc.) through the seamless integration of cryptography, a complimentary classifier, and communications (C4). Distributed Deep Learning (DDL) runs in a distributed Naval network setting and is vulnerable to attacks that have knowledg ...

    SBIR Phase I 2020 Department of DefenseNavy
  2. Development and Validation of a Computational Tool for Missile Flight Through Rain

    SBC: CFD Research Corporation            Topic: N182110

    The survivability of tactical missiles through adverse weather is difficult to predict, because of the dependency on many variables and the unpredictable nature of weather. This proposal is focused on an effort to develop and test a physics-based methodology for the prediction of the droplet distortion and demise in the flow field around missiles in supersonic flight. Our technical approach of Pha ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. Computational Analysis of Missile Flight Through Rain

    SBC: Integration Innovation, Inc.            Topic: N182110

    The current state of weather requirements definition for tactical missiles is outdated providing operational decision makers little confidence in the performance of missiles in any environment other than blue-sky. The challenge is understanding detailed physics features like drop shape change through a shock, and then being able to apply those at the system level for vehicle performance assessment ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. Machine Learning to Enhance Navy Service Desk

    SBC: Archarithms, Inc            Topic: N183143

    The purpose of this research is to develop a capability that improves upon current Information Technology (IT) help desk and customer relations, specifically in parsing and analyzing help desk communications (text and speech), reports, and logs. The resulting data set will be used to employ technical enhancements to the IT support and customer relations management space. The research will focus on ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Autonomous Pallet Loader

    SBC: Integrated Solutions for Systems, Inc.            Topic: N191002

    There is currently no autonomous pallet loading/unloading solution for full or half size 463L Military pallets. In austere environments such as those encountered at forward operating bases (FOB) and further forward, this is a significant problem. With no means of autonomously positioning or retrieving supplies at the aircraft, re-tasking fire teams and other personnel critical to the fight and gen ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Optically-Aided, Non-Global Positioning System (GPS) for Aircraft Navigation Over Water

    SBC: Polaris Sensor Technologies, Inc.            Topic: N191003

    Polaris proposes a hybrid system, combining a Sky Polarization Azimuth Sensing System (SkyPASS) Gen3 heading sensor and a Celestial Positioning System (CPS) into a SkyPASS Gen3 Positioning System (SkyPASS-GPS). The SkyPASS-GPS system will utilize multiple celestial technologies (including Sun tracking, star tracking, and sky polarization mapping) combined with novel algorithms to provide heading a ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Compact RF Fiber-optic Transmitter for Airborne Military Environments

    SBC: Eospace Inc.            Topic: N191006

    Develop and package a high-performance wideband RF fiber-optic Transmitter for a high-dynamic-range RF fiber-optic link in a compact form factor, operating at 1.55 micron wavelengths, suitable for airborne military environments.

    SBIR Phase I 2019 Department of DefenseNavy
  8. Data Analytics Tools for the Automated Logistics Environment (ALE)

    SBC: GTD Unlimited LLC            Topic: N191007

    In this research effort, GTD Unlimited will develop a toolset that leverages machine learning and analytics to analyze E-2D’s system maintenance with Automated Logistics Environment (ALE) data collected across the fleet to design and develop improved maintenance procedures that will improve readiness. GTD will determine key performance metrics of the platform that are of value to the maintainer, ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Target Identification Interrogation Data Stream Analytics System

    SBC: Archarithms, Inc            Topic: N191020

    Data stream analytics have been used in industry for a number of years to solve various logistical and other problems using on-the-fly monitoring, data-mining, and analysis of ongoing information streams. Recent advances in both Artificial Intelligence (AI) and high-speed parallel computing architectures may now provide the ability to execute such data-stream analysis algorithms in real time. U.S. ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Artificial Intelligence Real-Time Track Modeling and Simulation for Combat Systems

    SBC: Archarithms, Inc            Topic: N191032

    The growing proliferation of unmanned air and surface vehicles poses a potential tactical threat to current naval platforms. This threat continues to grow as the technology needed to develop such vehicles in vast numbers becomes easier for both state and non-state actors. The subsequent increase in the number of potential air and surface targets tracked and engaged in a tactical environment, where ...

    SBIR Phase I 2019 Department of DefenseNavy
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