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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. 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
  2. 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
  3. Voice Controlled Office Assistant Using Abductive Networks ($19,968 Phase I option proposed)

    SBC: ABTECH CORPORATION            Topic: N/A

    AbTech will survey the hardware and software available to determine what capabilities should be included in an automated office assistant software suite. A language parsing and encoding system in ANN (a leading semantic understanding software package) will be used to parse and encode ASCII output resulting from a voice recognition system such as DragonDictate. The ASCII output from the voice recog ...

    SBIR Phase I 1994 Department of DefenseAir Force
  4. Automated Target Assessment Development Environment

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency
  5. SAR-Based Automatic Target Recognition Avionics System

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  6. Integrated Avionics Information Processing Development

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  7. Gamma Ray Lens Feasibility Study

    SBC: Acctek Associates, Inc.            Topic: N/A

    Ganuna (7)-ray lenses are an advanced technology currently under development at Argonne National Laboratory for arms control application. The purpose of this proposal is to address whether y-ray lens technology can enable an improved system for imaging radioactive isotopes in patients. In nuclear medicine, it is often desirable to generate a y-ray image that shows the exact areas where an emitting ...

    SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency
  8. 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
  9. 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
  10. Advanced Neurocontrol Methods for a Remotely Piloted Vehicle

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

    SBIR Phase I 1994 Department of DefenseAir Force
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