Award Data

THE PRESENT PROGRAM HAS THREE TECHNICAL OBJECTIVES. THE FIRST IS TO CONSTRUCT A COMPUTER CONTROLLED VERSION OF A CONFIGURABLE OPTICAL SUPERCLASSIFIER THAT IS CAPABLE OF ACCEPTING A SYSTOLIC STREAM OF INPUT DATA. THE NEXT MAJOR OBJECTIVE OF THIS PROPOSAL IS TO DEVELOP A DETAILED DESCRIPTION OF THE BUS STRUCTURE THAT WILL BE REQUIRED TO FEED DATA INTO THE OPTICAL SUPERCLASSIFIER AT RATES THAT ARE CO ...

THE PROPOSED PROJECT AIMS TO EXPLOIT THE HIGH-SPEED ELECTRO-OPTIC PROPERTIES OF FERROELECTRIC LIQUID CRYSTALS (FLCS) TO MAKE OPTICAL CROSSBAR SWITCHES. THESE SWITCHES WOULD ALLOW LARGE NUMBERS (HUNDREDSTO THOUSANDS) OF INPUT LIGHT BEAMS MODULATED AT GHZ RATES TO BE CONNECTED IN ANY POSSIBLE ONE-TO-ONE PATTERN TO AN EQUALLY LARGE NUMBER OF OUTPUTS. THE PROPOSED SWITCH GEOMETRIES PROMISE THAT ONLY A ...

CARBON/CARBON COMPOSITES ARE HIGH STRENGTH MATERIALS WHICH WILL BE INCREASINGLY USED IN ADVANCED AEROSPACE AND DEFENSE SYSTEMS. AS MATERIAL PERFORMANCE REQUIREMENTS BECOME MORE STRINGENT, THE CURRENT PROCESS CONTROL METHODS WILL BECOME INADEQUATE AND MANUFACTURING VARIABILITIES WILL IMPACT ON SYSTEM PERFORMANCE, COST AND RELIABILITY.CURRENT MANUFACTURING SYSTEMS RELY HEAVILY ON TEMPERATURE AND PRE ...

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 ...

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 ...

THE PURPOSE OF THIS PHASE I PROGRAM IS TO IDENTIFY SPECIFIC TACTICAL AVIONICS APPLICATIONS WHICH COULD BENEFIT FROM THE SPECIAL INFORMATION-PROCESSING CAPABILITIES OF ADAPTIVE NEURAL NETWORKS. FOR SPECIFIC TACTICAL APPLICATIONS, A TRADE-OFF ANALYSIS OF SPECIFIC NEURAL NETWORK ARCHITECTURES WILL BE CONDUCTED WITH THE OBJECTIVE OF SELECTING THE MOST PROMISING ARCHITECTURES. A PHASE II PLAN WILL BE P ...

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