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3D Digital Terrain Modeling and Analysis in Water Resources and Hydropower Engineering

Zhong Denghua,Li Mingchao,Wang Gang,Guo Xiang,Wu Kangxin

Strategic Study of CAE 2005, Volume 7, Issue 7,   Pages 65-70

Abstract:

Due to the extensive terrain region and complicated irregular topographic form, great difficulties

Keywords： digital terrain model     triangulated irregular network     level of details     NURBS technique     water resources    

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Sagittal SLIP-anchored task space control for a monopode robot traversing irregular terrain

Haitao YU, Haibo GAO, Liang DING, Zongquan DENG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 193-208 doi: 10.1007/s11465-019-0569-3

Abstract: Consequently, an adaptive hopping behavior is exhibited by the robot when traversing irregular terrain

Keywords： legged robots     spring-loaded inverted pendulum     task space control     apex return map     deadbeat control     irregular    

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Structure Transformation of Irregular Information for Time-sequence and Elaborate Analysis of Evolution

Ouyang Shoucheng,Zhang Kui,Hao Liping,Zhou Lirong

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 36-41

Abstract: The results show that the irregular information of automatic meteorological recorders may be used incareful forecasting of rain storm, which will provide a technique for evolutional irregular information

Keywords： information of time-sequence     elaborate technique     irregular structure     phase space of orientation     evolution    

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motion analysis of Shanghai Pudong Airport site considering the effects of spatial correlation and irregular

JIANG Tong, CHEN Laiyun, XING Hailing, L? Xilin

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 430-435 doi: 10.1007/s11709-007-0058-3

Abstract: The construction site of the terminal locates on the irregular topography, and its alluvium achievescorrelation of seismic ground motion, as well as the amplification of soft alluvium and the effect of irregularpaper uses a simplified method to obtain the response spectrum of the engineering bedrock under the irregularIn order to compare the effect of 2D irregular topography, the seismic response analysis of 1D model

Keywords： surface ground     horizontal uniform     Finally     seismic ground     correlative seismic    

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HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 380-390 doi: 10.1631/FITEE.1400421

Abstract: which is a heuristic algorithm based on the principle of minimum total potential energy for the 3D irregular

Keywords： 3D packing problem     Layout design     Simulation     Optimization     Constructive algorithm     Meta-heuristics    

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Optimizing non-coalesced memory access for irregular applications with GPU computing

Ran Zheng, Yuan-dong Liu, Hai Jin,zhraner@hust.edu.cn,1531364016@qq.com,hjin@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900262

Abstract: However, irregular memory access exists in many applications, and the benefits of graphics processingunits (GPUs) are less substantial for irregular applications.In recent years, several studies have presented some solutions to remove static irregular memory accessHowever, eliminating dynamic irregular memory access with software remains a serious challenge.software solution without hardware extensions or offline profiling is proposed to eliminate dynamic irregular
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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: AGA decreases the total weight of regular and irregular steel frame about 11.1% and 26.4% in comparing

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability limits     penalty function    

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Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent Research Articles

Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1179-1193 doi: 10.1631/FITEE.2000243

Abstract: With the help of deep neural networks, the convolutional neural network or residual neural network, whichHowever, the obtained regions are always irregular considering the road network and administrative boundaries

Keywords： 交通流量预测；多图卷积网络；门控循环单元；不规则区域    

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A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular Research Articles

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900321

Abstract: , we propose a many-objective evolutionary algorithm based on decomposition with (MaOEA/D-DRA) for irregular

Keywords： Many-objective optimization problems     Irregular Pareto front     External archive     Dynamic resource allocation    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network     network science     spreading influence     machine learning    

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Title Author Date Type Operation

3D Digital Terrain Modeling and Analysis in Water Resources and Hydropower Engineering

Zhong Denghua,Li Mingchao,Wang Gang,Guo Xiang,Wu Kangxin

Journal Article

Sagittal SLIP-anchored task space control for a monopode robot traversing irregular terrain

Haitao YU, Haibo GAO, Liang DING, Zongquan DENG

Journal Article

Structure Transformation of Irregular Information for Time-sequence and Elaborate Analysis of Evolution

Ouyang Shoucheng,Zhang Kui,Hao Liping,Zhou Lirong

Journal Article

motion analysis of Shanghai Pudong Airport site considering the effects of spatial correlation and irregular

JIANG Tong, CHEN Laiyun, XING Hailing, L? Xilin

Journal Article

HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Journal Article

Optimizing non-coalesced memory access for irregular applications with GPU computing

Ran Zheng, Yuan-dong Liu, Hai Jin,zhraner@hust.edu.cn,1531364016@qq.com,hjin@hust.edu.cn

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent

Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn

Journal Article

A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Identifying spreading influence nodes for social networks

Journal Article