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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. A FUZZY SET APPROACH FOR SEISMIC SAFETY MARGINS ASSESSMENT.

    SBC: Eda Consultants            Topic: N/A

    THE CONTRACTOR SHALL DEVELOP A FUZZY SET METHODOLOGY FOR UNCERTAINTY ANALYSIS IN PROBABILISTIC SEISMIC SAFETY ASSESSMENT OF NUCLEAR POWER PLANTS. FUZZY SET LOGIC WILL BEUSED FOR COLLECTING, QUANTIFYING AND PROPAGATING SUBJECTIVE,ENGINEERING JUDGEMENT USED IN THE UNCERTAINTY ANALYSIS. IN PHASE I, FEASIBILITY OF THE PROPOSED APPROACH WILL BE DEMONSTRATED BY APPLYING IT TO SELECTED PARTS OF A PROBABI ...

    SBIR Phase I 1987 Nuclear Regulatory Commission
  2. APPLICATION OF VLSI TO VECTOR ACCUMULATORS AND INTEGRATING TIME TO DIGITAL CONVERTER

    SBC: Ionwerks, Inc.            Topic: N/A

    DESIGN, SIMULATION, FABRICATION, AND EVALUATION OF A PROTOTYPE VERY LARGE SCALE INTEGRATION (VLSI) DATA ACQUISITION SUBSYSTEM IS PROPOSED. AVAILABLE STATE-OF-THE-ART ONE MICRON CMOS TECHNOLOGY MAY ALLOW INCORPORATION OF MORE THAN 128 CHANNELS OF 24-BIT 300 MHZ COUNTERS INTO A SINGLE INTEGRATED CIRCUIT. A PROTOTYPE SYSTEM OF SIMPLE REPEATED CELLS OF COUNTERS, CONTROL AND I/O BUFFERS HAS BEEN DESIGN ...

    SBIR Phase I 1987 Department of DefenseDefense Advanced Research Projects Agency
  3. MAGNETIC IMAGE SEEKER UTILIZING NEW MAGNETIC MATERIALS

    SBC: Security Tag Systems Inc            Topic: N/A

    IT IS PROPOSED THAT A NEW TYPE OF SOFT MAGNETIC MATERIAL CAN BE USED FOR A VERY SENSITIVE AND LOW MAGNETIC FIELD DETECTION DEVICE. TO DETECT THE MILITARY TARGETS, ONE NEEDS A HIGHLY SENSITIVE DEVICE BUT THE EXISTING FLUX-GATE MAGNETOMETERS ARE LIMITED BY THEIR SIGNAL-TONOISE RATIO. WITH THE DEVELOPMENT OF SUPERIOR MAGNETIC MATERIALS AND IMPROVED ELECTRONICS, SOME OF THE NOISE PROBLEMS IN FLUX-GATE ...

    SBIR Phase I 1987 Department of DefenseDefense Advanced Research Projects Agency
  4. NEURAL NETWORKS FOR ADAPTIVE THREAT RESPONSE

    SBC: MARTINGALE RESEARCH CORPORATION            Topic: N/A

    NEURAL NETWORKS ARE A PROMISING SOLUTION TO SEVERAL PROBLEMS IN THE APPLICATION OF PARALLEL PROCESSING TECHNOLOGY FOR ADAPTIVE RECOGNITIONAND RESPONSE TO COMPLEX PATTERNS. UNFORTUNATELY, IT IS NOT KNOWN HOW TO GET A NEURAL NETWORK TO RECOGNIZE PATTERNS INDEPENDENTLY OF THE VALUES OF THEIR FEATURE PARAMETERS WITHOUT INCORPORATING SPECIAL INVARIANT TRANSFORMS FOR EACH SUCH FEATURE. THIS PROPOSAL INT ...

    SBIR Phase I 1987 Department of DefenseDefense Advanced Research Projects Agency
  5. PREDICTION OF CHECK VALVE PERFORMANCE & DEGRADATION IN NUCLEAR POWER PLANT SYSTEMS

    SBC: Kalsi Engineering, Incorporated            Topic: N/A

    N/A

    SBIR Phase I 1987 Nuclear Regulatory Commission
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