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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. IMPROVED ULTRAFILTERS FOR BIOPROCESSING

    SBC: Abel Company            Topic: N/A

    N/A

    SBIR Phase II 1994 Department of Health and Human Services
  2. Field Localizaiton for Detection of Brain Generators

    SBC: ABRATECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase II 1994 Department of Health and Human Services
  3. ABDUCTIVE/EXPERT SYSTEM CONTROLLER

    SBC: ABTECH CORPORATION            Topic: N/A

    THE OBJECTIVE OF THIS EFFORT IS TO DEMONSTRATE A PROTOTYPE CONTROLLER FOR A HOWITZER USING A HYBRID NETWORK AND PRODUCTION RULE SYSTEM. THE RESULTING ADAPTIVE CONTROLLER WILL DEMONSTRATE THE FEASIBILITY OF DEVELOPING A REVOLUTIONARY CONTROLLER CAPABLE OF ADAPTING IN A DYNAMIC ENVIRONMENT, MONITORING AND DIAGNOSING BEHAVIOR, AND PREDICTING FUTURE FAULTS AND MAINTENANCE REQUIREMENTS. ABTECH HAS DEVE ...

    SBIR Phase II 1994 Department of DefenseArmy
  4. An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for Chaotic Avionics Systems Behavior Prediction

    SBC: ABTECH CORPORATION            Topic: N/A

    Ontogenic neural networks, those which automatically discover their topology during synthesis, offer substantial advantages over traditional machine learning techniques. They also have the potential to offer many benefits in several areas of avionics research. Among potential application areas is the ability to predict or forecast the behavior of a seemingly random or chaotic system. This proposal ...

    SBIR Phase II 1994 Department of DefenseAir Force
  5. Sensor Fusion in a Dynamic Model-Based System

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    An approach to object identification and sensor fusion of images is proposed. Preprocessing techniques which perform a useful and computationally efficient transformation on the image will be considered. Once the image has been transformed to a more efficient format, mathematical morphology and neural networks are proposed to address the issues of edge detection, identification, sensor fusion and ...

    SBIR Phase II 1994 Department of DefenseAir Force
  6. Neural Network Methods for Preventing Unstarts

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will use an innovative neural network algorithm to perdict and control National Aero-Space Plane(NASP) unstarts at the earliest possible moment. Unstarts present a design challenge to hypersonic aircraft. An unstart occurs when the pressure at the aft end of the engine flow path reaches a critical level. This overpressure causes a "choking" of the air flow. The flow tends to spill around the in ...

    SBIR Phase II 1994 Department of DefenseAir Force
  7. Neural Network Figure of Merit Subsystem

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase II 1994 Department of DefenseNavy
  8. VOLUME HOLOGRAPHIC, RANDOM ACCESS, NO MOVING PARTS READ-ONLY MEMORY DEMONSTRATION

    SBC: Accuwave Corp.            Topic: N/A

    RECENT WORK IN VOLUME HOLOGRAPHY HAS LED TO THE DISCOVERY OF THE ORTHOGONAL DATA STORAGE TECHNIQUE. THIS METHOD OF HOLOGRAPHIC DATA RECORDING REDUCES THE CROSSTALK BETWEEN CHANNELS BY STORING MANY WAVELENGTH MULTIPLEXED IMAGES IN A PARTICULARLY EFFECTIVE USE OF K-SPACE. FURTHER REDUCTION IN CROSSTALK IS OBSERVED IN HOLOGRAMS STORED IN CERTAIN PHOTOREFRACTIVE CRYSTALS USING THE COUNTER-PROPAGATING ...

    SBIR Phase II 1994 Department of DefenseDefense Advanced Research Projects Agency
  9. An Active Smart Material System for Buffet Load Alleviation

    SBC: Active Control eXperts, Inc.            Topic: N/A

    The proposed effort investigates the use of smart materials (such as strain actuators and sensors) and modern control theory to suppress unsteady buffet loads encountered by vertical tail aircraft such as the F/A-18. The active smart material system proposed has distinct advantages over traditional passive damping treatments and active articulated control surface techniques. This innovative smart ...

    SBIR Phase II 1994 Department of DefenseAir Force
  10. Solid-State Pumped 3-5 Micron Lasers

    SBC: Aculight Corporation            Topic: N/A

    N/A

    SBIR Phase II 1994 Department of DefenseAir Force
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