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An End-To-End Hyperbolic Deep Graph Convolutional Neural Network Framework

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Computer Modeling in Engineering & sciences 2024年第4期139卷 537-563页

作者： Yuchen Zhou Hongtao Huo Zhiwen Hou Lingbin Bu Yifan Wang Jingyi Mao Xiaojun Lv Fanliang Bu School of Information Network Security People’s Public Security University of ChinaBeijing100038China Institute of Computing Technology China Academy of Railway Sciences Corporation LimitedBeijing100081China

Graph Convolutional Neural Networks(GCNs)have been widely used in various fields due to their powerful capabilities in processing graph-structured ***,GCNs encounter significant challenges when applied to scale-free graphs with power-law distributions,resulting in substantial ***,most of the existing GCN models are shallow structures,which restricts their ability to capture dependencies among distant nodes and more refined high-order node features in scale-free graphs with hierarchical *** more broadly and precisely apply GCNs to real-world graphs exhibiting scale-free or hierarchical structures and utilize multi-level aggregation of GCNs for capturing high-level information in local representations,we propose the Hyperbolic Deep Graph Convolutional Neural Network(HDGCNN),an end-to-end deep graph representation learning framework that can map scale-free graphs from Euclidean space to hyperbolic *** HDGCNN,we define the fundamental operations of deep graph convolutional neural networks in hyperbolic ***,we introduce a hyperbolic feature transformation method based on identity mapping and a dense connection scheme based on a novel non-local message passing *** addition,we present a neighborhood aggregation method that combines initial structural featureswith hyperbolic attention *** the above methods,HDGCNN effectively leverages both the structural features and node features of graph data,enabling enhanced exploration of non-local structural features and more refined node features in scale-free or hierarchical *** results demonstrate that HDGCNN achieves remarkable performance improvements over state-ofthe-art GCNs in node classification and link prediction tasks,even when utilizing low-dimensional embedding ***,when compared to shallow hyperbolic graph convolutional neural network models,HDGCNN exhibits notable advantages and performance enhanceme

关键词： Graph neural networks hyperbolic graph convolutional neural networks deep graph convolutional neural networks message passing framework

Investigation of insulation layer dynamic characteristics for high-speed railway

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Research in Cold and Arid Regions 2015年第4期7卷 430-437页

作者： HongYe Yan GuoTang Zhao DeGou Cai QianLi Zhang JianPing Yao AiJun Cheng railway Engineering Research Institute China Academy of Railway Sciences China railway corporation

Dynamic performance of insulation is one of the key parameters during the insulation application for high-speed railway subgrade. This paper conducted laboratory and field tests for the materials and dynamic load, especially for thermal performance, elastic deformation, and accumulated deformation of insulation materials. Experiment results show that mechanical properties of insulation layer structure are stable, which satisfies the requirements of the high speed railway.

关键词： high-speed railway insulation materials dynamic load elastic deformation accumulated deformation

Pumpability of Manufactured Sand Self-compacting Concrete

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Journal of Wuhan University of Technology(Materials Science) 2023年第6期38卷 1382-1390页

作者： LI Huajian HUANG Fali TU Haifeng SUN Deyi WANG Zhen YI Zhonglai YANG Zhiqiang XIE Yongjiang railway Engineering Research Institute China Academy of Railway Science Corporation LimitedBeijing 100081China School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China China railway Engineering Design and Consulting Group Co. Ltd Beijing 100055China

By the addition of superplasticizer and air entraining agent,manufactured sand selfcompacting concrete(MS SCC)with slump flow varying from 500 to 700 mm and air content varying from 2.0%to 9.0%were prepared and the pumpability of MS SCC was studied by a sliding pipe rheometer(Sliper).According to the Kaplan’s model,the initial pump pressure and the pump resistance of MS SCC were ***,rheological properties including the yield stress and the plastic viscosity of MS SCC were measured by a *** experimental results show that the increase of slump flow contributes to a higher pumpability and a proper air content,i e,6%is beneficial for the pumpability of MS *** to the existence of stone powder and stronger angularity of MS,the initial pump pressure of MS SCC is only about 60%-88%that of river sand(RS)SCC with the same slump flow and air content,indicating that MS SCC possesses a higher pumpability than RS SCC.

关键词： manufactured sand self-compacting concrete pumpability sliding pipe rheometer rheology

An introduction to CPU and DSP design in China

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Science China(Information sciences) 2016年第1期59卷 58-65页

作者： Weiwu HU Yifu ZHANG Jie FU State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Loongson Technology corporation limited School of Computer and Control Engineering University of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences

In recent years, China has witnessed considerable achievements in the production of domesticallydesigned CPUs and DSPs. Owing to fifteen years of hard work that began in 2001, significant progress has been made in Chinese domestic CPUs and DSPs, primarily represented by Loongson and Shen Wei *** parts of the CPU design techniques are comparable to the world’s most advanced designs. A special issue published in Scientia Sinica I nf ormationis in April 2015, is dedicated to exhibiting the technical advancements in Chinese domestically-designed CPUs and DSPs. The content in this issue describes the design and optimization of high performance processors and the key technologies in processor development; these include high-performance micro-architecture design, many-core and multi-core design, radiation hardening design, highperformance physical design, complex chip verification, and binary translation technology. We hope that the articles we collected will promote understanding of CPU/DSP progress in China. Moreover, we believe that the future of Chinese domestic CPU/DSP processors is quite promising.

关键词： Chinese domestic CPUs and DSPs Loongson CPU Shen Wei CPU YHFT DSP BWDSP

SINGULAR INTEGRAL EQUATIONS IN ORLICZ SPACES(Ⅰ)

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Acta Mathematica Scientia 1983年第1期3卷 71-83页

作者：邓耀华 China academy of railway sciences

Let Γ=Γibe the union of a finite number of Liapunoff's curves Γ1,…,Γ_n on the complex plane, no two of which have common points. Consider the following one-dimensional singular integral equation with Cauchy kernel

关键词： SINGULAR INTEGRAL EQUATIONS IN ORLICZ SPACES 一夕 over

Demand Analysis and Solution Exploration on 5G Carrying railway Operational Services

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Chinese railways 2023年第1期 18-24页

作者： LIU Ziyuan ZHOU Yanfang China academy of railway sciences corporation limited 不详

Given the overwhelmed GSM-R network in China,the railway sector has turned to the public network to promote railway communication *** 5G identified as the next-generation mobile communication network for railways,China has proposed a holistic approach for the building of intelligent railway via 5G public *** on the characteristics of 5G and the classic services of railway,the paper proposes a categorized carrying scheme for railway in mobile communication network,as well as a graded scheme based on *** paper then advises to accelerate the development of 5G-R equipment and adopt diverse mobile communication networks to carry railway business,which are of reference to future studies on the issue.

关键词： 5G-R GSM-R railway business communication requirements carrying scheme

Prevention from Soft Errors via Architecture Elasticity

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Journal of Computer Science & Technology 2014年第2期29卷 247-254页

作者：尹一笑陈云霁郭崎陈天石 State Key Lab of Computer Architecture and Microprocessor Research Center Institute of Computing Technology Chinese Academy of Sciences University of Chinese academy of sciences Loongson Technology corporation limited IBM Research-China

Due to the decreasing threshold voltages, shrinking feature size, as well as the exponential growth of on-chip transistors, modern processors are increasingly vulnerable to soft errors. However, traditional mechanisms of soft error mitigation take actions to deal with soft errors only after they have been detected. Instead of the passive responses, this paper proposes a novel mechanism which proactively prevents from the occurrence of soft errors via architecture elasticity. In the light of a predictive model, we adapt the processor architectures h01istically and dynamically. The predictive model provides the ability to quickly and accurately predict the simulation target across different program execution phases on any architecture configurations by leveraging an artificial neural network model. Experimental results on SPEC CPU 2000 benchmarks show that our method inherently reduces the soft error rate by 33.2% and improves the energy efficiency by 18.3% as compared with the static configuration processor.

关键词： soft error energy efficiency architecture elasticity

A study on boundary integral equations for dynamic elastoplastic analysis for the plane problem by TD-BEM

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Acta Mechanica Sinica 2021年第4期37卷 662-678,I0003页

作者： Hongjun Li Weidong Lei Rui Chen Qiang Hu Urban and Rural Construction Institute Hebei Agricultural UniversityBaoding 071001China School of Civil and Environmental Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China China academy of railway sciences corporation limited Beijing 100081.China

The equivalent stress fundamental solution for the elastoplastic dynamic plane strain problem is proposed to transform the virtual work in the third direction to the ***,based on Betti reciprocal theorem,by adopting the time dependent fundamental solutions in terms of displacement,traction and equivalent stress,the boundary integral equations for dynamic elastoplastic analysis for the plane strain problem are *** establishment procedures for the displacement and the stress boundary integral equations,together with the stress equation at boundary points,are presented in details,while the standard discretization both in time and space under the frame of time domain boundary element method(TD-BEM)and the solution of the algebraic equations are also briefly *** verification examples are presented from different viewpoints,for elastic and elastoplastic analysis,for 1-D and 2-D geometries,and for finite and infinite *** TD-BEM formulation for dynamic elastoplastic analysis is presented for the plane strain problem as an example,where the formulation is also applicable for the plane stress problem by properly transforming the elastic constants and adopting the corresponding fundamental solutions.

关键词： Time domain boundary element method Dynamic elastoplastic analysis Equivalent stress fundamental solution Boundary integral equation

Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes

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railway Engineering Science 2024年第2期32卷 194-210页

作者： Taifeng Li Kang Xie Xiaobin Chen Zhixing Deng Qian Su railway Engineering Research Institute China Academy of Railway Sciences Corporation LimitedBeijing 100081China Department of Civil Engineering Central South UniversityChangsha 410075China School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China

The compaction quality of subgrade filler strongly affects subgrade *** main objective of this research is to analyze the macro-and micro-mechanical compaction characteristics of subgrade filler based on the real shape of coarse ***,an improved Viola-Jones algorithm is employed to establish a digitalized 2D particle database for coarse particle shape evaluation and discrete modeling purposes of subgrade *** indexes of 2D subgrade filler are then computed and statistically ***,numerical simulations are performed to quantitatively investigate the effects of the aspect ratio(AR)and interparticle friction coefficient(μ)on the macro-and micro-mechanical compaction characteristics of subgrade filler based on the discrete element method(DEM).The results show that with the increasing AR,the coarse particles are narrower,leading to the increasing movement of fine particles during compaction,which indicates that it is difficult for slender coarse particles to inhibit the migration of fine ***,the average displacement of particles is strongly influenced by the AR,indicating that their occlusion under power relies on particle *** dis-placement and velocity of fine particles are much greater than those of the coarse particles,which shows that compaction is primarily a migration of fine *** the cyclic load,the interparticle friction coefficientμhas little effect on the internal structure of the sample;under the quasi-static loads,however,the increase inμwill lead to a significant increase in the porosity of the *** study could not only provide a novel approach to investigate the compaction mechanism but also establish a new theoretical basis for the evaluation of intelligent subgrade compaction.

关键词： Subgrade filler particles Deep learning particle Shape analysis Particle library Compaction characteristics Discrete element method(DEM)