检索结果-内蒙古大学图书馆

第33届中国控制与决策会议

作者： Shuai Wang Hongyan Ma Jiaming Dou Yongxue Ye Jingjian Yang Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture National Virtual Simulation Experimental Center for Smart City Education Institute of Distributed Energy Storage Safety Big Data

ISBN: (纸本)9781665431293

Data mining technology is often adopted in construction engineering to provide relevant information and reference basis for public building energy consumption *** paper proposes an optimization algorithm applying back propagation(BP) neural network and mind evolutionary algorithm(MEA) to establish a model to predict building energy *** main weather data are used as inputs to the BP neural network and daily electricity consumption is used as an *** MEA is employed to optimise the structure of the network and to predict the energy consumption of *** results demonstrate that the optimized BP neural network has higher fitting accuracy,and the predicted load value is more consistent with the actual value.

关键词： Building energy consumption BP neural network Mind evolutionary algorithm

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Road network extraction from high resolution satellite images

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Computer Aided Drafting,Design and Manufacturing 2016年第2期26卷 1-7页

作者： Li Gang Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Shenzhen 518055 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Beijing 100871 China

In this paper, an approach of roads network extraction from high resolution satellite images is presented. First, the approach extracts road surface from satellite image using one-class support vector machine （SVM）. Second, the road topology is built from the road surface. The last output of the approach is a series of road segments which is represented by a sequence of points as well as the topological relations among them. The approach includes four steps. In the first step one-class support vector machine is used for classifying pixel of the satellite images to road class or non-road class. In the second step filling holes and connecting gaps for the SVM＇s classification result is applied through mathematical morphology close operation. In the third step the road segment is extracted by a series of operations which include skeletonization, thin, branch pruning and road segmentation. In the last step a geometrical adjustment process is applied through analyzing the road segment curvature. The experiment results demonstrate its robustness and viability on extracting road network from high resolution satellite images.

关键词： road extraction topology mathematical morphology skeletonization support vector machine

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Real-time visualization of Urban with Gigantic Amount of Detailed Buildings

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Computer Aided Drafting,Design and Manufacturing 2015年第1期25卷 22-27页

作者： YANG Fei-yu LI Sheng WANG Shao-rong WANG Guo-ping Peking University Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Beida (Binhai) Information Research School of Information Science and Technology Beijing Forestry University

Complex urban scenery is generally composed of gigantic amount of detailed buildings, efficient representation and rendering are essential for its visualization. We present an accelerating method for urban visualization. Our approach can optimize the organization of models in accordance with the quadtree based terrain, which makes the parallelization easier. Through minimizing the draw call within one rendering process, our approach can reduce the time cost of each frame and improve the framerate greatly. Hereby, our system can handle large-scale detailed models with high diversity and also can afford the ability to adjust the rendering strategy automatically according to the state of the hardware.

关键词： urban visualization acceleration real-time detailed buildings

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A study on wavelet selection in power signal denoising 5

A study on wavelet selection in power signal denoising

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5th International Conference on Energy engineering and Environmental Protection, EEEP 2020

作者： Gong, Jing School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing100044 China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044 China National Virtual Simulation Experimental Center for Smart City Education Beijing100044 China

In the wavelet threshold denoising of power signal, the selection of wavelet has an important influence on the denoising effect, and the wavelet generating function has diversity, if not selected properly, it will directly lead to the failure of denoising. Firstly, an operator is introduced to modify the threshold of each scale to better reflect the variation of wavelet coefficients of signal and noise with scale. Then a controllable threshold function is proposed to adapt to different soft and hard characteristics, and it is used to denoise the wavelet coefficients. Based on the study of the characteristics of wavelet, such as orthogonality, vanishing moment, support length and symmetry, four principles of wavelet selection in power signal denoising are proposed. The voltage sag and harmonics model are established, and db5, coif1 and sym2 wavelets are selected to decompose the signal to the fourth scale for denoising. The signal-to-noise ratio, mean square error and the detailed features of the reconstructed signal after denoising are compared. The experimental results show that the orthogonal wavelet db5 with high vanishing moment order and long support length has better denoising effect than coif1 and sym2, which proves the correctness of the wavelet selection principles proposed in this paper. © Published under licence by IOP Publishing Ltd.

关键词： Signal denoising

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Impact of DG on short circuit current detected by protection 5

Impact of DG on short circuit current detected by protection

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5th International Conference on Energy engineering and Environmental Protection, EEEP 2020

DG (distributed generation) access causes the change of current detected by the protection, and then affects the sensitivity of the original protection. In order to solve the problem, the influences of DG capacity, DG access location and short-circuit location on short circuit current are analysed in this paper. When the DG capacity and grid-connected position remain unchanged, the unit current method is used to solve the short-circuit current by solving the transfer impedance. The relationship between the change of short circuit position and the impact degree of DG is discussed in detail, and the calculation formula of extreme point is derived. When the DG capacity and short circuit location remain unchanged, the impact of DG grid-connected position on the upstream and downstream current is analysed. The characteristic curve of the impact of DG position change on protection current detection is given, and the impact of DG grid-connected position on protection sensitivity is explained clearly. The conclusion provides an important reference for the selection of DG grid-connected position and the calculation of relay protection in distribution network with DG. © Published under licence by IOP Publishing Ltd.

关键词： Timing circuits

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Distribution and rendering of real-time scene based on the virtual reality system

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 437卷 192-202页

作者： Zhang, Chengfang Wang, Guoping Wang, Guoping Shenzhen Graduate School Peking University Shenzhen China Graphics and Interaction Lab of EECS Peking University Beijing China Beijiing Engineering Technology Research Center of Virtual Simulation and Visualization Beijing China

ISBN: (纸本)9783662454978

There are differences between real and virtual scene information displayed on a virtual reality platform, not a true reflection of the reality of the real-time information. On the basis of virtual reality platform, how to collect, organize and publish the corresponding real-time virtual reality scene scenes information is becoming a new problem. In this essay, we will explain how to input, distribute and display real scene information based on the virtual reality system, a distributed virtual reality system. The current real-time video information corresponded with the specified scene object in the virtual reality system is recorded by the client, released to the streamer server and then distributed via content distribution server. The live streaming information displayed on the virtual reality client increases the fidelity and real-time of the virtual reality. The system is timely published, scalable and is capable of supporting remote deployment and distribution. The goal is to provide a reliable and effective real scene information dissemination and presentation of the real scene platforms based on the virtual reality environment. © Springer-Verlag Berlin Heidelberg 2014.

关键词： virtual reality

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High performance flow field visualization with high-order access dependencies

High performance flow field visualization with high-order ac...

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IEEE Scientific visualization Conference (SciVis)

作者： Jiang Zhang Hanqi Guo Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Argonne National Laboratory Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

We present a novel model based on high-order access dependencies for high performance pathline computation in flow field. The high-order access dependencies are defined as transition probabilities from one data block to other blocks based on a few historical data accesses. Compared with existing methods which employed first-order access dependencies, our approach takes the advantages of high order access dependencies with higher accuracy and reliability in data access prediction. In our work, high-order access dependencies are calculated by tracing densely-seeded pathlines. The efficiency of our proposed approach is demonstrated through a parallel particle tracing framework with high-order data prefetching. Results show that our method can achieve higher data locality than the first-order access dependencies based method, thereby reducing the I/O requests and improving the efficiency of pathline computation in various applications.

关键词： Prefetching Data visualization Computational modeling Data models Electronic mail Scalability Computational fluid dynamics

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An efficient spatial anti-aliasing method for deferred shading

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Computer Aided Drafting,Design and Manufacturing 2017年第2期27卷 57-63页

作者： Ye Chengchun Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University) School of Electronics Engineering and Computer Science Peking University Peking University Information Technology Institute (Tianjin Binhai)

In recent years, image-based anti-aliasing techniques have been widely investigated in real-time computer graphics. Compared to traditional routine of anti-aliasing, image-based methods, which combined with deferred shading, can efficiently decouple anti-aliasing step from standard graphics pipeline. However, most of the existing image-based methods consume video memory, bandwidth and computation resources heavily. In this paper, we propose an optimized anti-aliasing method, which can efficiently reduce the multi-sampling rate by a multi-sampling mask. We carefully designed the rendering system to avoid serial execution on branch divergence, by utilizing both modern GPU’s features and latest shader model. Experimental results demonstrate that our method can achieve high-quality synthesized image with real-time performance.

关键词： anti-aliasing deferred shading compute shader execution divergence

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A bottom-up scheme for user-defined feature exploration in vector field ensembles

A bottom-up scheme for user-defined feature exploration in v...

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IEEE Scientific visualization Conference (SciVis)

作者： Richen Liu Hanqi Guo Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Argonne National Laboratory Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they often make more sense according to the domain knowledge. In this work, we present a framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help to extract vortex with a user-defined shape, and further compute the geometry information including the size, and the geo-spatial location of the extracted vortex. Finally we design some linked views to compare the feature between different runs.

关键词： Three-dimensional displays Meteorology visualization Feature extraction Computational modeling Data models Data visualization

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Hierarchical Mesh Segmentation Based on Quadric Surface Fitting

Hierarchical Mesh Segmentation Based on Quadric Surface Fitt...

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IEEE International Conference on Computer-Aided Design and Computer Graphics

作者： Huijuan Zhang Chong Li Leilei Gao Guoping Wang Graphics and Interaction Lab Peking University Beijing China Peking University Beijing Beijing CN Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Beijing China Cooperative Medianet Innovation Center Beijing China

In this paper we introduce a hierarchical region decomposition algorithm for triangle meshes segmentation based on quadric surface fitting. Initially, the whole mesh represents a single cluster. At every iteration, the region with largest error is divided and Lloyd iteration clustering is executed following, which make sure the segmentation has the minimum error in each hierarchical level. An error control strategy is used to get finally result automatically. Besides, users also can interpose this process by specifying the segmentation level. Each segmentation region after this process has a best fitting proxy of quadric surface. We propose an improved L 2,1 distance into a hybrid error, which is used in least square fit of quadric function. By comparing with the state-of-the art methods, our method is testified to be insensitive to noise. Model optimization and hole filling based on our algorithm are demonstrated in the last.

关键词： Solid modeling Clustering algorithms Surface treatment Design automation Surface fitting Computational modeling Measurement

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