Award Data

Flight test programs have always been challenged with having to add a sufficient number of transducers and instruments to make meaningful measurements without having an adverse impact on the operation and performance of the vehicle being tested. Transducer and instrumentation wiring is intrusive and labor intensive, often requires vehicle modifications to support, is subject to reliability concern ...

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THIS PROJECT IS DEVELOPING METHODS TO USE ARTIFICIAL NEURAL NETWORKS FOR MODELING AND CONTROL OF ARC-WELDING PROCESSES. ARTIFICIAL NEURAL NETWORKS WILL BE COMPARED WITH MORE TRADITIONAL MODELS, SUCH AS THOSE DERIVED FROM THE PHYSICS OF HEAT CONDUCTION, AND TECHNIQUES FOR COMBINING THE USE OF BOTH IN MODELING AND CONTROL WILL BE EXPLORED. ARTIFICIAL NEURAL NETWORKS ARE ADVANTAGEOUS IN THAT ESSENTIA ...

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CONSTRUCTION OF CUSTOM VERY LARGE SCALE INTEGRATION (VLSI) CIRCUITS COMBINING ANALOG AND DIGITAL SECTIONS FOR A PRE-AMPLIFIER, DISCRIMINATOR, ENABLE GATE, AND TIME-TO-DIGITAL CONVERTER (TDC) TO FORM A FULLY MONOLITHIC TIME INTERVAL UNIT (TIU) IS THE PROPOSED INNOVATION. THIS TIU WILL DRAMATICALLY REDUCE THE SIZE, WEIGHT, AND POWER CONSUMPTION OF NASA SPACE-BASED LASER ALTIMETERS. ADDITIONAL ADVANT ...

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This Phase I SBIR proposes to further develop high performance (low dark current, high quantum efficiency, and low NEdT) infrared epitaxy materials based on Type II Strained Layer Superlattice (SLS) for large format space-based sensor applications. The epi materials will be grown with Sb-capable multi-wafer production Molecular Beam Epitaxy (MBE) reactor at IntelliEPI IR. The initial goal includes ...