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WE INTEND TO APPLY NEURAL NETWORK TECHNOLOGY TO TELEROBOTICS. THIS WILL TAKE ADVANTAGE OF SOME OF THE ADVANCES THAT ARE BEING DONE FOR AUTONOMOUS ROBOTS. THESE CONCEPTS WILL EXTEND THE CAPABILITIES OF THE HUMAN OPERATOR. THE TELEROBOTIC CONTROLLER WILL BE TAUGHT USING BACKWARD SHAPING TO IMPROVE ITS SPEED OF LEARNING. IT IS PROPOSED TO ADD A CAPABILITY FOR ASSOCIATION BASED SENSOR DATA FUSION. THE ...

TO INTERPRET, EVALUATE, AND ANALYZE DATA FROM REMOTE-SENSING, MULTISPECTRAL INSTRUMENTATION IN REAL OR NEAR-REAL TIME IS THE GOAL OF THIS PROJECT. THIS SYSTEM WILL BE ADAPTIVE BY LEARNING TO INTERPRET APPLICATION-SPECIFIC FEATURES. BASED ON NEURAL-NETWORK TECHNOLOGY, IT WILL FOCUS ON PATTERNS FOUND IN THE DATA REGARDLESS OF THE IRRELEVANT VARIATIONS OF INTENSITY, MAGNIFICATION, CLUTTER, OR NOISE. ...

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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 ...

THE AVIAN EGG HAS BEEN RECOGNIZED BY SPACE BIOLOGISTS AS AN EXCELLENT, SELF-CONTAINED MODEL FOR LIFE-SCIENCE RESEARCH FOR MORE THAN A DECADE. MORE RECENTLY, BIRDS HAVE GAINED ATTENTION AS A POSSIBLE BIOREGENERATIVE LIFE-SUPPORT SYSTEM FOR SPACE STATIONS AND LUNAR/MARS MISSIONS. BEFORE THE FULL POTENTIAL OF THESE AVIAN MODELS CAN BE REALIZED, AN ADVANCED, EXPERIMENTAL TESTING APPARATUS, AN INNOVATI ...

PRIMARY FLOWMETER CALIBRATION IS A PROBLEM FACED BY A WIDE RANGE OF INDUSTRIES, AS WELL AS NASA, A LITTLE-KNOWN FLOW MEASUREMENT METHOD--THE GIBSON OR PRESSURE-TIME--WILL BE APPLIED TO FLOWMETER CALIBRATION. THE MAJOR ADVANTAGE OF THE METHOD IS THAT IT IS A FUNDAMENTAL MEANS OF MEASURING MASS FLOW THAT CAN BE IMPLEMENTED IN A CLOSED-LOOP CALIBRATION FACILITY. PRIMARY FLOWMETER CALIBRATION IS A PRO ...