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This paper presents analysis methods for improving the electromagnetic characteristics of a high-speed electrical multiple unit (EMU) train with a 1:1 finite-element analysis model. Both electromagnetic distribution diagrams and numerical field data have been analyzed. With this method, optimal electromagnetic conditions for the EMU compartment could be feasibly obtained, while the optimization evaluation...
This paper presents a novel flip-flop clustering and relocation framework to help reduce the overall chip power consumption. Given an initial legalized placement, our goal is to reduce the wirelength of the clock network by reducing distance between flip-flops and their drivers, while minimize the disturbance of original placement result. The idea is to form flip-flops into clusters, such that all...
Traditional text classification technology based on machine learning and data mining techniques has made a big progress. However, it is still a big problem on how to draw an exact decision boundary between relevant and irrelevant objects in binary classification due to much uncertainty produced in the process of the traditional algorithms. The proposed model CTTC (Centroid Training for Text Classification)...
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