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3rd International Conference on Bioinformatics and Intelligent Computing, BIC 2023

作者： Li, Wenhuai Cai, Jiejin School of Electric Power South China University of Technology China China Nuclear Power Technology Research Institute Co. Ltd Shenzhen China Engineering Research Center of Advanced Nuclear Energy Artificial Intelligence and Virtual Reality Shenzhen China

ISBN: (纸本)9798400700200

Reactor design optimization is a challenging task that requires significant resources in terms of time, labor, and iteration. As advanced reactors continue to be developed, the design requirements and constraints may become more challenging, including economic, safety, and transportation considerations. Meeting these constraints and efficiently designing a reasonable reactor optimization solution within a short timeframe based on existing design experience is a significant challenge. In this paper, a combination of structure optimization and the characteristic statistical algorithm (CSA) is proposed to obtain reactor core optimization based on the existing limit of physics and thermal design. Neutronic design codes RMC/MCNTRANS are used to calculate neutronic performance, such as reactivity, power distribution, and fuel burnup. The thermal sub-channel code KMC-SUB is used to calculate coolant temperature. With the assistance of the Shenzhen Supercomputer center, a large-scale computation was carried out, and a set of optimized core schemes meeting the constraints of nuclear design were found. Data analysis was then used to determine key design variables to guide the direction of continuous core optimization. The results show the feasibility of using CSA for core design optimization and provide insight into the importance of different design variables. © 2023 ACM.

关键词： Supercomputers

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Efficient computation of persistent homology for cubical data 4th

Efficient computation of persistent homology for cubical dat...

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4th Workshop on Topology Based Methods in Data Analysis and visualization, TopoInVis 2011

作者： Wagner, Hubert Chen, Chao Vuçini, Erald Jagiellonian University Kraków31-007 Poland Vienna University of Technology Karlsplatz 13 Vienna1040 Austria Institute of Science and Technology Am Campus 1 Klosterneuburg3400 Austria VRVis Center for Virtual Reality and Visualization Research-Ltd Donau-City-Strasse 1 Vienna1220 Austria

ISBN: (纸本)9783642543005

In this paper we present an efficient framework for computation of persistent homology of cubical data in arbitrary dimensions. An existing algorithm using simplicial complexes is adapted to the setting of cubical complexes. The proposed approach enables efficient application of persistent homology in domains where the data is naturally given in a cubical form. By avoiding triangulation of the data, we significantly reduce the size of the complex. We also present a data-structure designed to compactly store and quickly manipulate cubical complexes. By means of numerical experiments, we show high speed and memory efficiency of our approach. We compare our framework to other available implementations, showing its superiority. Finally, we report performance on selected 3D and 4D data-sets. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Computational efficiency

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Real-time rendering of large-scale static scene

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Computer Aided Drafting,Design and Manufacturing 2017年第2期27卷 1-6页

作者： Wang Shaohua Li Sheng Lai Shunnan Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University School of Electronics Engineering and Computer Science Peking University

In virtual simulation application, it is often necessary to use Open GL to render large-scale 3D static scenes including urban architectures. Each scene unit generally has individual vertex data and texture. For large-scale data set, it is hard to render all scene units simultaneously. We need to render part of the scene separately, which is called the scene partition and culling. In general, we partition the whole scene into different units on the CPU. We present a scheme that optimize the GPU rendering pipeline to cull the large-scale static scene, which will reduce the CPU suspending time and take full advantage of GPU computing advantages to speed up the rendering efficiency.

关键词： large-scale GPU culling real-time

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Editing Vector Graphics in the virtual Simulation Environment

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Computer Aided Drafting,Design and Manufacturing 2014年第2期24卷 23-29页

作者： SHI Xiao-long LAI Shun-nan Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization School of Electronics Engineering and Computer Science Peking University

We present a method to represent multi-resolution vector graphics such as road networks or railway networks in virtual environment. These vector data can be interactively edited and the landscape and be explored in real time at any altitude from flight view to car view. We design a context-focused vector description of linear can areal features, with associated customized definition painter to specify their appearance （color and material） and their display mode （detailed mode or simplified mode）. There are some special problems in drawing vector graphics in virtual environment. Floating-point round-off error appear when we use a low view point to observe the scene, and it leads to scene jittering. Drawing 3D wide lines turns into a problem on 3D terrain. We design a view-based self-adaptive interpolation algorithm and an offset line generating algorithm to solve it. Our results show high performance with good visual quality.

关键词： vector graphics virtual reality virtual globe

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Sliding window algorithm for aircraft landing problem

Sliding window algorithm for aircraft landing problem

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Chinese Control and Decision Conference

作者： Xiangwei, Meng Ping, Zhang Chunjin, Li State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Research Center of Air Traffic Control Beihang University Beijing 100191 China

ISBN: (纸本)9781424487363

The problem of deciding how to land aircraft approaching an airport involves assigning each aircraft to an appropriate runway, computing a landing sequence for each runway and scheduling the landing time for each aircraft. Runway allocation, sequencing and scheduling for each aircraft must ensure the scheduled landing time lies within a predefined time window and meet separation time requirements with other aircraft. The objective is to achieve effective runway use. In this paper, a novel algorithm which we call sliding window algorithm, adapted from receding horizon control, is applied to solve this problem. Computational results are presented for publicly available test problem involving up to 500 aircraft and five runways and compared with those obtained by other algorithms presented in the previous literature. Comparative study shows that our sliding window algorithm outperforms the compared algorithms whether in terms of execution times or solution quality. © 2011 IEEE.

关键词： Air traffic control

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A study on the prediction model of dam seepage volume based on isolated forest-multiple stepwise linear regression 4

A study on the prediction model of dam seepage volume based ...

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4th International Conference on Computer engineering and Application, ICCEA 2023

作者： Chen, Guanyu Zhang, Suli Zhang, Chenlin Qian, XiaoChun Changchun University of Technology School of Computer Science & Engineering Jilin Provincial Key Laboratory of Changbai Historical Culture and Vr Reconstruction Technology Jilin Prov. Changbai Mt. Ecol. Culture and Virtual Reality Simulation Engineering Research Center Changchun China Jilin Institute of Chemical Technology School of Information and Control Engineering Jilin Provincial Key Laboratory of Changbai Historical Culture and Vr Reconstruction Technology Jilin Prov. Changbai Mt. Ecol. Culture and Virtual Reality Simulation Engineering Research Center Changchun China

ISBN: (纸本)9798350347548

In the study of hydraulic seepage prediction, it is often necessary to target multiple feature dimensions. In this paper, a variety of traditional machine learning algorithms based on stepwise regression filtering features are used to train a dam seepage prediction model based on isolated forest processing of data outliers. The results show that the algorithm can be applied to predict the seepage data of a reservoir more accurately, and further suggest improvements to the dam's seepage control function and observation facilities. The experimental results show that the correlation coefficient of the linear regression model is significantly improved when the training sample ratio is 0.8 after the isolated forest treatment of outliers and stepwise regression screening features. © 2023 IEEE.

关键词： Forecasting

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Real-Time Rendering of Large-Scale Ocean Environments

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Computer Aided Drafting,Design and Manufacturing 2015年第2期25卷 47-53页

作者： HUANG Jing-jia LI Sheng LAI Shun-nan WANG Guo-ping Peking University Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Beida (Binhai) Information Research

Simulation and rendering of large-scale natural environments, especially the ocean, has always been one of the hot issues in computer graphics, which can provide realism for various applications such as computer game, movie and military usage. Simulation of ocean environment is often lack of realism for real-time application due to its complexity of dynamic waves. In this paper, a method based on FFT Wave model is proposed to solve this problem, which can also simulate the ocean optic property with atmosphere scattering. Furthermore, our method has a lot of advantages including global ocean dataset support, real-time, dynamic reflection of ocean, the foam on the wave, smooth transition from deep ocean to seacoast, etc. The experimental results demonstrate the realism and effectiveness of our approach.

关键词： FFT wave model real-time rendering reflection refraction foam

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ESNet: An efficient symmetric network for real-time semantic segmentation 1

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2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019

作者： Wang, Yu Zhou, Quan Xiong, Jian Wu, Xiaofu Jin, Xin National Engineering Research Center of Communications and Networking Nanjing University of Posts and Telecommunications Nanjing China Beijing Electronic Science and Technology Institute Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

ISBN: (数字)9783030317232

ISBN: (纸本)9783030317225

The recent years have witnessed great advances for semantic segmentation using deep convolutional neural networks (DCNNs). However, a large number of convolutional layers and feature channels lead to semantic segmentation as a computationally heavy task, which is disadvantage to the scenario with limited resources. In this paper, we design an efficient symmetric network, called (ESNet ), to address this problem. The whole network has nearly symmetric architecture, which is mainly composed of a series of factorized convolution unit (FCU) and its parallel counterparts. On one hand, the FCU adopts a widely-used 1D factorized convolution in residual layers. On the other hand, the parallel version employs a transform-split-transform-merge strategy in the designment of residual module, where the split branch adopts dilated convolutions with different rate to enlarge receptive field. Our model has nearly 1.6M parameters, and is able to be performed over 62 FPS on a single GTX 1080Ti GPU. The experiments demonstrate that our approach achieves state-of-the-art results in terms of speed and accuracy trade-off for real-time semantic segmentation on CityScapes dataset. © Springer Nature Switzerland AG 2019.

关键词： Convolution

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Exploring Image Generation for UAV Change Detection

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1061-1072页

作者： Xuan Li Haibin Duan Yonglin Tian Fei-Yue Wang Peng Cheng Laboratory Shenzhen 518000China IEEE State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083 Department of Automation University of Science and Technology of ChinaHefei 230027 State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense TechnologyChangsha 410073China

Change detection(CD)is becoming indispensable for unmanned aerial vehicles(UAVs),especially in the domain of water landing,rescue and ***,even the most advanced models require large amounts of data for model training and ***,sufficient labeled images with different imaging conditions are *** by computer graphics,we present a cloning method to simulate inland-water scene and collect an auto-labeled simulated *** simulated dataset consists of six challenges to test the effects of dynamic background,weather,and noise on change detection ***,we propose an image translation framework that translates simulated images to synthetic *** framework uses shared parameters(encoder and generator)and 22×22 receptive fields(discriminator)to generate realistic synthetic images as model training *** experimental results indicate that:1)different imaging challenges affect the performance of change detection models;2)compared with simulated images,synthetic images can effectively improve the accuracy of supervised models.

关键词： Change detection computer graphics image translation simulated images synthetic images unmanned aerial vehicles(UAVs)

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A development and application of maintainability evaluation system using immersive VR 7

A development and application of maintainability evaluation ...

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7th International Multi-Conference on engineering and technology Innovation 2018, IMETI 2018

作者： Wang, Meihui Li, Yongxiang Lyu, Chuan Liu, Xi School of Reliability and Systems Engineering Beihang University China State Key Laboratory of Virtual Reality Technology System Beihang University China Technology and Engineering Center for Space Utilization Chinese Academy of Science Beijing China Xi'An Modern Control Technology Research Institute Xi'an710065 China

Immersing into virtual reality (VR) is a perception of being physically present in a non-physical world. Using immersive VR in maintenance brings great conveniences. For example, using virtual human operating in hazardous environment before the real person, which can prevent being hurt. In this paper, a system of immersive virtual maintenance (IVM) is presented. It is divided into three parts. The first part is Input, which contains the maintenance task and maintenance design. The second part is Method, with which making the virtual human and the users act in a unified way. The key to build IVM system is the interface between the motion capture system and virtual simulation software. The third part is Output, which presents the maintainability evaluation results. This paper focuses on how to build IVM system, the difficulties and solutions also be detailed. At last, a simple application is given. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Maintainability

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