Award Data

An approach to object identification and sensor fusion of images is proposed. Preprocessing techniques which perform a useful and computationally efficient transformation on the image will be considered. Once the image has been transformed to a more efficient format, mathematical morphology and neural networks are proposed to address the issues of edge detection, identification, sensor fusion and ...

We will use an innovative neural network algorithm to perdict and control National Aero-Space Plane(NASP) unstarts at the earliest possible moment. Unstarts present a design challenge to hypersonic aircraft. An unstart occurs when the pressure at the aft end of the engine flow path reaches a critical level. This overpressure causes a "choking" of the air flow. The flow tends to spill around the in ...

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 ...

We will design a flowpath and a neural network based propulsion system controller for LoFlyte I, a remotely piloted vehicle (RPV) based upon the aerodynamics of the National AeroSpace Plane (NASP). This work will be the first step to a highly innovative RAM/SCRAM propulsion system and to a propulsion controller for the ultimate aircraft in the LoFlyte Unmanned Autonomous Vehicle (UAV) program seri ...

The purpose of this proposal is to develop a new generation of "SMART" neurocontrol actuator systems for use on hypersonic aircraft. Develop a testbed to see that the actuator system will work. This will also optimize and scale the testbed vehicle sizing. This concept using adaptive neural network technology will improve performance and behavior for hypersonic aircraft like the National AeroSpace ...

The manufacture of composite materials for use as high confidence components in aircraft has resulted in a requirement for rigorous defect analysis. This proposal researches the use of neural network technology combined with Laser Ultrasonics to provide the quality assurance inspector with the capability of identifying potential defects in composite structures. Neural network technology is used to ...

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THIS PROPOSAL IS PREPARED IN DIRECT RESPONSE TO THE NRC'S SOLICITATION FOR AN IMPROVED DEVICE TO MEASURE AIR MOVEMENT FOR PERSONNEL RADIATION PROTECTION AND HEALTH PHYSICS APPLICATIONS IN NUCLEAR FACILITIES. THE PURPOSE OF THE NEW DEVICE IS TO PROPERLY LOCATE AIR SAMPLERS SO THAT THE AIR SAMPLED IS REPRESENTATIVE OF THE AIR INHALED BY WORKERS. ALTHOUGH AIR FLOW RATE SENSORS SUCH AS ANEMOMETERS ARE ...

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