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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Demonstration of a JP-8 Powered Compact ECU

    SBC: MAINSTREAM ENGINEERING CORP            Topic: OSD09T002

    Military shelters currently use electrically driven Environmental Control Units (ECUs) to provide cooling for the air inside the shelter. The ECU is vapor compression cycle powered by a diesel generator, operating on JP-8 fuel. Other than fueling jet engines, the largest drain on U.S. military fuel supplies in current operations comes from running generators at forward operating bases. In hot cli ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Novel Approaches to Service Virtualization in Mobile Ad Hoc Networks

    SBC: SUNS-Tech Corp.            Topic: N10AT006

    A clean-slate approach is needed for the design and implementation of wireless networks that self organize and can scale with the number of users, devices, and information objects and services that network users wish to share. This project will develop a new architecture and protocols for wireless networks in which naming, addressing, routing, and channel access are redefined to take into account: ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Development of Navy Wave Rich Collaboration for Command and Control

    SBC: SOLUTE            Topic: N10AT045

    The SOLUTE team’s Phase I technical approach consists primarily of a feasibility study assessing the viability of a Navy implementation of the algorithms, standards, and protocols that comprise Google's Wave technology. Of specific concern is Wave’s ability to handle varying bandwidth and DIL communications channels associated with Navy platforms. While computer science research in the field o ...

    STTR Phase I 2010 Department of DefenseNavy
  5. Innovative Application of Urban ISR (Intelligence, Surveillance, Reconnaissance) Imagery for High Fidelity Training Devices

    SBC: CG2, Inc.            Topic: N09BT038

    In today’s information age, there are vast resources of data on every region of the Earth. The application of geospecific imagery over large areas has been limited to terrain for the most part. The hindrances to full use of geospecific imagery are the labor required to create the databases, and limits on the rendering capacity of current image generators (IGs), both in polygon count and texture ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  7. Autonomous Landing at Unprepared Sites for a Cargo Unmanned Air System

    SBC: SYNETICS SYSTEMS ENGINEERING CORP.            Topic: N10AT039

    A rapid prototyping simulation for the Autonomous Rotorcraft Land & Take-Off (ARLTO) system will be developed to analyze and evolve requirements for the landing and take-off of a Rotary-wing Autonomous Air Vehicle (RAAV) from unprepared terrain. The simulation is based upon the Task-Pilot-Vehicle modeling system and features a UH-60 configured with a Sliding Mode Control (SCM) inner loop closure. ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Innovative Passive Magnetic Thrust Bearings for High-Speed Turbomachinery

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N10AT037

    In miniature gas turbines for UAV applications, traditional bearings exhibit a typical lifetime of only 25 hours due to excessive axial loading. Mainstream proposes to use a passive, permanent magnet thrust bearing to alleviate this problem and increase service life to over 1000 hours. Since this type of bearing is non-contacting, it can operate at very high rotational speeds with minimal heat gen ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Enhanced Riverine Drifter

    SBC: TOYON RESEARCH CORPORATION            Topic: N10AT024

    The Navy has need of assessing the river environment including bathymetry, flow velocity profile, and navigational obstructions. While improvements in measurement fidelity and reduction in cost have come about by the use of multiple drifters, measurement quality is lost due to convergent drifter trajectories, and cost/risk remains high due to personnel effort required for deployment. An autonomous ...

    STTR Phase I 2010 Department of DefenseNavy
  10. New Integrated Total Design of Unmanned Underwater Vehicles (UUVs) Propulsion System Architecture for Higher Efficiency and Low Noise

    SBC: CONTINUOUS SOLUTIONS LLC            Topic: N18AT012

    In this proposal, a meta model-based scaling law will be used to represent each system component. A components meta model-based scaling law describes the tradeoffs between performance metrics for that component or subsystem as a function of its ratings in relation to the system. This greatly reduces the number of degrees of freedom for each component, and at the same time, retains the information ...

    STTR Phase I 2018 Department of DefenseNavy
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