Award Data

In an information-rich environment, the possibility of enhancing the decision-making processes and outcomes is closely tied to the proper and timely management and analysis of information. In a team decision making environment coopertion, communication, collaboration, shared situational awareness and mental models become critical parameters for success. Computer technology, hardware and software ...

Sucessful completion of Phase I efforts shall provide the Air Force with an intelligent dynamic data mining architecture and demonstration prototype. We shall develop the concept of a profile that shall be used as a basis for identification and linking of relationships based on a rough sketch or profile of the situation. The use of profiles shall be used in enhancing existing case-based and asso ...

AbTech Corporation proposes to apply its unique Statistical Network ModelingTM technology to develop a non contact prognostic assessment tool that 1) acquires, processes, and analyzes electronic radiated signal data, 2) learns the expected characteristics and patterns of specific radiated signals measured from microelectronic semiconductor devices using AbTech's statistical network modeling techno ...

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A NEW TECHNIQUE IS PROPOSED FOR THE PREPARATION OF METAL-SUPPORTED METAL (MSM) CATALYSTS. THE KEY FEATURE OF THIS TECHNIQUE INVOLVES THE PREPARATION OF A THIN LAYER OF POROUS METAL ON TOP OF A METAL SUBSTRATE SUCH THAT THE POROUS METAL SURFACE IS AN INTEGRAL PART OF THE METAL SUPPORT. SUBSEQUENT INTEGRATION OF PT AND RH ON THE POROUS METAL SURFACE WILL PRODUCE THE MSM CATALYST. THIS CATALYST IS US ...

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 ...

During Phase I we will advance and develop innovative Adaptive Critic based neural network control methodologies specifically for a Remotely Piloted Vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). Phase II will involve the actual implementation which will prove these neurocontrol concepts. This work will be the first step in creating the complex aerocontroller for ...

Accurate Automation will design a weakly ionized gas drag reduction system for an advanced fixed wing aircraft. To this end we will develop a theoretical model for the WIG drag reduction phenomena, initiate a series of two dimensional shock tank experiments, evaluate the engineering feasibility of employing the technology on an operational aircraft, and perform a conceptual design for a wind tunn ...