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Award Data

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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. Acoustic Sensor Simulation and Environment Technology

    SBC: TECHNICAL SOLUTIONS, INC.            Topic: N/A

    A quality simulation which allows a user to simulate the acoustic emissions in a multi-source environment and then study the effects these conditions have on a set of acoustic sensors would be of great value. As acoustic sensors technology continues to advance with robust algorithms for detection, tracking and identification as well as high performance hardware providing real-time operation, thes ...

    SBIR Phase I 1996 Department of DefenseArmy
  2. Adaptive Wavelet Data Compression

    SBC: Fastman, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseArmy
  3. ADVANCED ADAPTIVE COMPUTATIONAL METHODS FOR NAVIER-STOKES SIMULATIONS IN ROTORCRAFT AERODYNAMICS

    SBC: Computational Mechan            Topic: N/A

    N/A

    SBIR Phase I 1988 Department of DefenseArmy
  4. Advanced Armor Vehicle Design

    SBC: Physics Mathematics &            Topic: N/A

    This project applies a combination of Artificial Neural Networks (ANN), Genetic Algorithms (GA), and CAD software to the problem of optimum armor design. Previous work for TACOM has established the efficacy of ANN/GA as applied to the problem of 1-D armor design. This new work will extend the concept to full 3-D vehicle geometries (CAD models). The CAD part of the code will handle the 3D data d ...

    SBIR Phase I 1997 Department of DefenseArmy
  5. ADVANCED CONCEPT EVALUATION

    SBC: Physics Mathematics &            Topic: N/A

    N/A

    SBIR Phase I 1990 Department of DefenseArmy
  6. ADVANCED WEAPON STATION AUTOMATION/INTEGRATION

    SBC: TECHNICAL SOLUTIONS, INC.            Topic: N/A

    N/A

    SBIR Phase I 1988 Department of DefenseArmy
  7. A Generalized Event Representation Modeling and Analysis Tool

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: N/A

    This SBIR Phase I project will create an event representation framework and generate a catalogue of reasoning mechanisms for transforming domain specific events into a convenient representational framework. The choice of the representation scheme used to model a domain for analysis by the neural network of fuzzy logic system can make an enormous difference in the ease and efficiency of the proble ...

    SBIR Phase I 1997 Department of DefenseArmy
  8. A Method and Automated Support Tool for Model Correlation

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: N/A

    Enterprises today rely heavily upon a wide variety of modeling methods and modeling technologies for the development of requirements for complex, software intensive systems. In general, however, (i) the different modeling methods provide very different perspectives on system information, (ii) models created with these methods are expressed in very different modeling languages, and (iii) models ar ...

    SBIR Phase I 1996 Department of DefenseArmy
  9. AN ADVANCED RAPID INITIATION PROPAGATION IGNITOR SYSTEM FOR LOVA PROPELLANTS

    SBC: TPL, INC            Topic: N/A

    RAPID INITIATED PROPAGATION (RIP) IGNITORS PROVIDE MORE UNIFORM FLAME SPREADING THROUGH PROPELLANT BEDS THROUGH CYLINDRICAL WAVE EXPANSION ACCOMPANIED BY REDUCED EXPANSION EFFECTS ON THE PRESSURE PULSE. IMPROVEMENTS IN RIP IGNITOR PERFORMANCE ARE POSSIBLE THROUGH: INCREASES IN PRIMER CHARGE DENSITY, REDUCTION IN IGNITOR FREE VOLUME, BLENDS OF IGNITOR MATERIALS, AND USE OF HIGH EMISSIVITY SOLIDS. T ...

    SBIR Phase I 1988 Department of DefenseArmy
  10. A NEURAL NETWORK KALMAN FILTER FOR MULTI-SENSOR BASED ROBOTIC CONTROL

    SBC: MARTINGALE RESEARCH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1988 Department of DefenseArmy
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