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Visualization and Analysis of the Volume Dataset for Time-Varing Electromagnetic Simulation

Chinese Journal of Electronics 2020年第5期29卷 973-981页

作者： SHAO Jingxuan TIAN Ge HAN Jing CHANG Liang CAO Yi LUO Yanlin College of Artificial Intelligence Beijing Normal University Institute of Applied Physics and Computational Mathematics

The three Dimensional(3D) visualization of time-varying Electromagnetic(EM) data in antenna devices can be used to evaluate various parameters, such as the quality of beams and the power performance of antennas, for optimizing the antenna design. Compared with the single volume data, the time-varying data has characteristics of strong continuity, large scale and multi-variable. It is challenging. We proposed a real-time dynamic rendering method using Compute unified device architecture(CUDA)-based volume rendering *** designed the opacity transfer function as multiple trapezoid, which represents each energy band, and provided a fusion strategy for a horn-like surface and a EM volume model that considers the contribution of both intersection points of surface with viewing ray and sample points of the volume. We also proposed a framework for time-varying 3D EM datasets. Two assessment tests were conducted by both experts and students. Results showed that our 3D visualization method were effective.

关键词： Fusion for volume visualization 3D visualization method time-varing electromagnetic simulation transfer functions parallel architectures antennas time-varying electromagnetic data time-varying 3D EM datasets opacity transfer function strong continuity antenna design three dimensional visualization opacity electrical engineering computing compute unified device architecture-based volume CUDA Electromagnetic real-time dynamic rendering method single volume data Time-varying EM volume model time-varying data rendering (computer graphics) antenna devices 3D EM datasets data visualisation volume dataset Transfer function

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Dynamic global load balancing strategy for cross stratum optimization of OpenFlow-enabled triple-M optical networks

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Chinese Optics Letters 2013年第7期11卷 24-29页

作者：杨辉赵永利张杰顾畹怡王守宇林毅 Young Lee State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Huawei Technologies Co. Ltd.

With the emergence of high-bitrate applications, cross stratum optimization （CSO） attracts the interest of network operators because of its application in the joint optimization of optical networks and application stratum resources. Given the large-scale growth and high complexity of optical networks, achieving a more effective, accurate, and practical CSO becomes an important research focus. In this letter, we present a CSO-oriented, unified control architecture for OpenFlow-enabled triple-M optical networks. A novel dynamic global load balancing （DGLB） strategy with dynamic resource rating for CSO is presented based on the proposed architecture. The DGLB strategy is then compared with four other strategies by conducting experiments on a SOFT-based testbed with 1000 virtual nodes.

关键词： Complex networks parallel architectures

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