You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. 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
  2. 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
  3. SAR-Based Automatic Target Recognition Avionics System

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

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

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  5. SS-SCAN!- SINGLE SWITCH CONTROL ACCESS FOR DOS AND WINDOWS SOFTWARE

    SBC: ACADEMIC SOFTWARE, INC.            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of Education
  6. Redesign of an OCU-Style MTV Model and Demonstration of Use in Command and Control

    SBC: Accel Software Engineering            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseAir Force
  7. 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
  8. 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
  9. 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
  10. Hypersonic UAV Flowpath Design and Control

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    We will design a flowpath and a neural network based propulsion system controller for LoFlyte I, a remotely piloted vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). This work will be the first step to a highly innovative RAM/SCRAM propulsion system and to a propulsion controller for the ultimate aircraft in the LoFlyte Unmanned Autonomous Vehicle (UAV) program seri ...

    SBIR Phase I 1994 Department of DefenseAir Force
US Flag An Official Website of the United States Government