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High speed, low cost optical self routing optical crossbar switches with gigabit data rates are key components in optical communication and routing systems. We propose to fabricate and study a monolithically integrated optical crossbar switch which will be inexpensive and high performance. This integrated switch utilizes thin film emitters and detectors integrated directly onto a host integrated c ...

THIS PROJECT DEVELOPS AND FIELD TESTS A PROTOTYPE SOFTWARE/HARDWARE ASSESSMENT PACKAGE TO SUPPORT ASSISTIVE TECHNOLOGY ASSESSMENT PERSONNEL RESPONSIBLE FOR SELECTION OF APPROPRIATE CONTROL INTERFACE DEVICES FOR PERSONS WHO HAVE DIFFICULTY INTERACTING WITH THEIR ENVIRONMENT. THIS POPULATION INCLUDES INDIVIDUALS WITH LEARNING, INTELLECTUAL, OR PHYSICAL DISABILITIES; VERY YOUNG PERSONS; AND/OR ELDERL ...

Sports Center Unlimited will be a simulated sports/leisure activity exploration program for youths with physical disabilities. The Phase I prototype will run on a Macintosh using QuickTime multi-media with sound, color, video, animation, and user interaction. As one of many animated characters, each with differing disabilities, the user explores the Sports Center Unlimited with the assistance of 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 ...

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 ...

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 ...

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