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Wide Area Monitoring And Control, Manish Patel
Wide Area Monitoring And Control, Manish Patel
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Today's interconnected power system is deregulated for wholesale power transfers. In 1996 Federal Energy Regulatory Commission provided open access of the transmission network to utilities. Since then utilities are transferring power over long distances to bring reliable and economical electric supply to their customers. As the number of wholesale power transactions taking place over an interconnected system are increasing, system operators in control areas are forced to monitor the grid on a large scale to operate it reliably. Before scheduling such a large scale power transactions, it is necessary to make sure that such transaction will not violate system operating …
Efficient Analysis Of Loaded Cylindrical Monopole Antennas, Adam Schreiber
Efficient Analysis Of Loaded Cylindrical Monopole Antennas, Adam Schreiber
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In this dissertation is presented a collection of papers focusing on enhancing the efficiency of integral equation solutions of antennas. A method of incorporating network principles into the method of moments is developed. Scattering parameters are determined for two structures: a coaxial-guide/radial-guide junction present in coaxial feeds of monopole and dipole antennas, and a folded coaxial guide junction proposed as part of an inductive load below the feed of the antenna. There is excellent agreement among the data obtained from the proposed method, independent MoM solutions not incorporating network principles, and measurements. An investigation into electrically switching a folded coaxial …
Motion Segmentation From Clustering Of Sparse Point Features Using Spatially Constrained Mixture Models, Shrinivas Pundlik
Motion Segmentation From Clustering Of Sparse Point Features Using Spatially Constrained Mixture Models, Shrinivas Pundlik
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Motion is one of the strongest cues available for segmentation. While motion segmentation finds wide ranging applications in object detection, tracking, surveillance, robotics, image and video compression, scene reconstruction, video editing, and so on, it faces various challenges such as accurate motion recovery from noisy data, varying complexity of the models required to describe the computed image motion, the dynamic nature of the scene that may include a large number of independently moving objects undergoing occlusions, and the need to make high-level decisions while dealing with long image sequences. Keeping the sparse point features as the pivotal point, this thesis …