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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. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  2. Thunderlane

    SBC: ASSURED INFORMATION SECURITY, INC.            Topic: AF16AT11

    AIS proposes the Thunderlane effort to define a new operating system model that radically dissolves the boundary between hypervisor and operating system, and leverages state-of-the-art software diversity techniques. In concert, these capabilities provide unparalleled resistance against reverse-engineering, and ensure the reliability and security of application and system software. The Thunderlane ...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF16AT12

    We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

    STTR Phase I 2016 Department of DefenseAir Force
  4. Plasma Generator for Controlled Enhancement of the Ionosphere

    SBC: Enig Associates, Inc.            Topic: AF15AT22

    Enig Associates, Inc., a small business providing advanced modeling and simulation capabilities to the DoD and DoE, is proposing an innovative and novel electrical approach, using explosive-driven flux compression generators to Joule heat light metal load in sub millisecond time scale from a solid metal state to a first ionization plasma state going through multi-phase transitions to generate an a ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Impact of Hypersonic Flight Environment on Electro-Optic/Infrared (EO/IR) Sensors

    SBC: Analysis and Applications Associates, Inc.            Topic: AF15AT40

    EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

    STTR Phase II 2016 Department of DefenseAir Force
  6. Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon Systems

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...

    STTR Phase II 2016 Department of DefenseAir Force
  7. Reverberation Mitigation of Speech

    SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC            Topic: AF15AT17

    Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

    STTR Phase II 2016 Department of DefenseAir Force
  8. Active Control of a Scramjet Engine

    SBC: Innoveering, LLC            Topic: AF15AT19

    In this effort, Innoveering will integrate and test a closed-loop active control system for scramjet isolator shock system positioning. The approach is to control the fuel flow to the engine to position the shock train leading edge at a specified location in the isolator. The control system includes three basic elements: a shock position sensing system based, a fast response fuel valve that adjust ...

    STTR Phase II 2016 Department of DefenseAir Force
  9. ROBUST MOVING TARGET HANDOFF IN GPS-DENIED ENVIRONMENTS

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. High Quality/Low Dimension Data for Sensor Integration

    SBC: ANDRO COMPUTATIONAL SOLUTIONS LLC            Topic: AF15AT16

    Novel algorithms were developed for ecient multi-sensor fusion of correlated high-dimensional data to support target detection. In our compressive sensing framework, high-dimensional data is compressed using low dimensional random projection matrices. When the high-dimensional data exhibits low-dimensional structures, this scheme is capable of capturing all the significant informative with fewer r ...

    STTR Phase II 2016 Department of DefenseAir Force
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