Award Data

CURRENT STUDIES CONCENTRATE ON GLOBAL POSITIONING SYSTEM (GPS) AS A SPACECRAFT ATTITUDE DETERMINATION TOOL. TWO GPS ANTENNAS RECEIVING THE SAME SIGNAL CAN COMPARE THEIR RELATIVE PHASES TO DETERMINE THE ANGLE BETWEEN THE TWO ANTENNAS AND THE GPS SATELLITE. BY COMPUTING THE ANGLE TO THREE OR MORE SATELLITES, THE COMPLETE INERTIAL ORIENTATION MAY BE DETERMINED. APPLYING ADVANCES IN GPS INTERFEROMETRY ...

This Phase I project has two primary objectives. The first objective is to evaluate the feasibility of a fully ion implanted fabrication process based on the heterodimensional 2-D MESFET. The new device, the 2-D JFET, will have p+ ion implanted sidegates which laterally modulate a thin, highly doped n-type conducting channel. The 2-D JFET should have excellent high speed, low power characteristics ...

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This proposed study will accomplish the following: Investigate methods for allocating image resources in MLS operating systems. Investigate methods for controlling image processes from MLS (OS). Develop algorithms for efficient image management in MLS OSs. Develop algorithms for efficient image processing security in MLS OSs. Provide a framework for automatic downgrading of images using a MLS OS. ...

The development of a process for growing single crystal boules of 6H-SiC at the firm has lead to rapid advances in SiC device development and performance including production of the world's only commercially viable blue light emitting diode. Cree is currently using 1.375 inch diameter wafers and is in the process of scaling up to 2 inch production. Cree has also demonstrated a complete range of fi ...

The rapid development of the technology for producing high quality single crystal SiC wafers and thin films presents the opportunity to fabricate solid-state devices with power-temperature capability far greater than devices currently available. While conventional silicon power devices are already being used near their limits of operating temperature and power, the potential of SiC is just beginni ...

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The proposed effort will apply advanced methods of hybrid learning to problems of detection and identification of sensory events (e.g., boost phase evens). Our approach aims at building a vision system capable of hybrid learning, in which symbolic (rule-based) and subsymbolic (neural network) strategies are integrated to achieve high efficiency and accuracy both in learning human comprehensible se ...