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Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional Research Article

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1848-1861 doi: 10.1631/FITEE.2200035

Abstract: system's spatial information such as the electrical distance to increase the accuracy in the process of graphthat uses power system topology and spatial information to optimize the edge weight assignment of the linegraph.Then we propose a multi-graph convolutional network (MGCN) based on a graph classification task, which

Keywords： Power systems     Vulnerability     Cascading failures     Multi-graph convolutional networks     Weighted line graph    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: The interaction of multiple fires may lead to a higher flame height and more intense radiation flux than a single fire, which increases the possibility of flame spread and risks to the surroundings. Experiments were conducted using three burners with identical heat release rates (HRRs) and propane as the fuel at various spacings. The results show that flames change from non-merging to merging as the spacing decreases, which result in a complex evolution of flame height and merging point height. To facilitate the analysis, a novel merging criterion based on the dimensionless spacing / was proposed. For non-merging flames ( / >0.368), the flame height is almost identical to a single fire; for merging flames ( / ≤0.368), based on the relationship between thermal buoyancy and thrust (the pressure difference between the inside and outside of the flame), a quantitative analysis of the flame height, merging point height, and air entrainment was formed, and the calculated merging flame heights show a good agreement with the measured experimental values. Moreover, the multi-point source model was further improved, and radiation fraction of propane was calculated. The data obtained in this study would play an important role in calculating the external radiation of propane fire.

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads     Graph applications     Graph processing systems    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: In this paper, 2D line-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slitThe defect band, namely, the formed resonance band of line-defect PCs enables the incident acoustic waveThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigatedAll the numerical and experimental results indicate that line-defect PCs can be well used for extracting

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: In this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyWe first adopt intensity prior and label prior as two key metrics when implementing the local weightedwe compare the results with those of other methods, including joint fusion, majority voting, local weighted

Keywords： Label fusion     Local weighted voting     Patch-based     Background analysis    

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Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases using line-by-line

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 41-48 doi: 10.1007/s11708-013-0292-4

Abstract: the band parameters of Soufiani and Taine, the more recent parameters of André and Vaillon, and the line-by-line

Keywords： transimissity     HITEMP     HITRAN     Planck mean absorption coefficients    

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 257-264 doi: 10.1007/s11465-014-0294-x

Abstract: application of the proposed method on a simple problem of multi objective optimization of simple assembly line

Keywords： Pareto     lexicographic α-robust     assembly line balancing    

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Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 429-448 doi: 10.1631/FITEE.1500118

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graphsurvey of existing literature in distributed multi-agent coordination and a new perspective in terms of graphFor different types of graph Laplacians, we summarize their inherent coordination features and specific

Keywords： Multi-agent systems     Distributed coordination     Graph Laplacian    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis“Chaining” inference algorithm and weighted logic operation mechanism were applied to guarantee the accuracy

Keywords： disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

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Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 213-226 doi: 10.1007/s11708-016-0398-6

Abstract: However, in application to grounding of transmission line towers they are not enough to determine what

Keywords： grounding     transmission line tower     back flashover probability     FDTD method    

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A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 156-167 doi: 10.1007/s11465-014-0297-7

Abstract:

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamicTwo kinds of numerical results of transient EHL line contact problems under sinusoidal excitation or

Keywords： elastohydrodynamic lubrication     transient     line contact     matrix splitting iteration method     the Thomas method    

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Title Author Date Type Operation

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases using line-by-line

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Journal Article

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Journal Article

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Journal Article