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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for Chaotic Avionics Systems Behavior Prediction

    SBC: ABTECH CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force
  2. METHODS FOR REDUCING PLASMA EFFECTS ON THE NASP

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    WE PROPOSE THE DEVELOPMENT OF AN INNOVATIVE NEUROCONTROLLER THAT GENERATES TRAJECTORIES WHICH REDUCE PLASMA EFFECTS ON THE COMMUNICATION SYSTEM OF THE NASP. WE WILL MODEL PLASMA SHEATH GENERATION AND INCORPORATE THIS MODEL INTO A GHAME FLIGHT SIMULATOR ON A SILICON GRAPHICS WORKSTATION. THIS MODEL WILL THEN BE USED IN THE DEVELOPMENT OF THE CONTROLLER AND SUITABLE ADAPTATION LAWS. COST FUNCTIONS W ...

    SBIR Phase II 1993 Department of DefenseAir Force
  3. PARALLEL NEURAL NETWORK TOOLBOX FOR SUPERCOMPUTERS

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    THIS PROPOSAL INVOLVES RESEARCH INTO A SUPERCOMPUTER-BASED ENVIRONMENT FOR RESEARCH INTO MASSIVELY PARALLEL NEURAL-NETWORK ALGORITHMS FOR LARGE SCALE, COMPUTATIONALLY INTENSE PROBLEMS. THIS ENVIRONMENT WILL HAVE APPLICATION TO AREAS SUCH AS IMAGE PROCESSING, PATTERN RECOGNITION, CONTROL SIGNAL PROCESSING, DATA COMPRESSION, AND FAULT DIAGNOSIS. ALL OF THESE ARE AREAS WHICH INVOLVE MASSIVE AMOUNTS O ...

    SBIR Phase II 1993 Department of DefenseAir Force
  4. Ontogenic Neural Networks for Avionics Applications

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    The study of neural networks which possess the capability to learn and grow with little or no supervision will be explored during this research effort. These networks exhibit ontogenic behavior and are termed ontogenic neural networks. This reasearch effort explores the use of hybrid neural network structures which are capable of self-organization, feature discovery and self generation in a compos ...

    SBIR Phase I 1993 Department of DefenseAir Force
  5. Neural Network Methods for Preventing Unstarts

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force
  6. Sensor Fusion in a Dynamic Model-Based System

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force
  7. An Active Smart Material System for Buffet Load Alleviation

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

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force
  8. FINE WATER MIST SYSTEM FOR REPLACEMENT OF HALON 1301 FIRE EXTINGUISHER SYSTEMS

    SBC: ADA Technologies, Inc.            Topic: N/A

    U.S. production of Halons will decrease from 28 million lbs in 1988 to zero in 1995 to meet the U.S. commitments to the Montreal Protocol. A major use of Halon 1301 is as a fire suppression flooding agent. The use of fine water mists from two-fluid atomizing nozzles is proposed as a replacement for Halon 1301 fire suppression systems, especially for Class B fuel fires. The optimum droplet size and ...

    SBIR Phase I 1993 Department of DefenseAir Force
  9. APPLICATION OF PULSE CORONA INDUCES PLASMAS FOR CONTROL OF NOx FROM JET ENGINE TEST CELLS

    SBC: ADA Technologies, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force
  10. RECYCLING PROCESS FOR AIRCRAFT PLASTICS AND COMPOSITES

    SBC: Adherent Technologies, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1993 Department of DefenseAir Force

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