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A forwarding graph embedding algorithm exploiting regional topology information Article

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1854-1866 doi: 10.1631/FITEE.1601404

Abstract: Allocating physical resources to the virtual network function forwarding graph is a critical issue inWe formulate the forwarding graph embedding (FGE) problem as a binary integer programming problem, whichWe then design a novel regional resource clustering metric to quantify the embedding potential of each

Keywords: Network function virtualization     Virtual network function     Forwarding graph embedding    

Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Engineering 2023, Volume 22, Issue 3,   Pages 14-19 doi: 10.1016/j.eng.2021.08.018

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1397-1414 doi: 10.1007/s11709-022-0860-y

Abstract: considering the severity of the ultimate collapse scenario are proposed using reinforcement learning and graphembedding.estimation of the Q values, and handle problems with different action spaces owing to utilization of graphembedding.

Keywords: progressive collapse     alternate load path     demolition planning     reinforcement learning     graph embedding    

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    

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantconsidering the topological attributes which may pose significant impact on the performance of the embeddingIn this paper, a new embedding algorithm is proposed based on real-time topological attributes.The concept of betweenness centrality in graph theory is borrowed to sort the nodes of VNs, and the nodesA simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords: Virtual network embedding (VNE)     Real-time topological attributes     Betweenness centrality     Correlation    

Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embeddingtasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a jointembedding scheme.In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluateExperimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic

Keywords: Knowledge embedding     Joint embedding     Cost-sensitive learning    

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: paper, we introduce a novel feature extraction method called local uncorrelated local discriminant embeddingThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inSecond, we reconstruct the affinity matrices of an intrinsic graph and a penalty graph, which are mentioned

Keywords: Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0961-3

Abstract: A novel microorganism embedding material was prepared to enhance the biological nitrogen removal throughrate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding

Keywords: Immobilization technology     Nitrogen removal     Cyclodextrin     Microbial community     Wastewater treatment    

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    

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 547-557 doi: 10.1007/s11465-020-0595-1

Abstract: Carbon fiber reinforced polymer (CFRP) composites have excellent mechanical properties, specifically, high specific stiffness and strength. However, most CFRP composites exhibit poor impact resistance. To overcome this limitation, this study presents a new plain-woven CFRP composite embedded with superelastic shape memory alloy (SMA) wires. Composite specimens are fabricated using the vacuum-assisted resin injection method. Drop-weight impact tests are conducted on composite specimens with and without SMA wires to evaluate the improvement of impact resistance. The material models of the CFRP composite and superelastic SMA wire are introduced and implemented into a finite element (FE) software by the explicit user-defined material subroutine. FE simulations of the drop-weight impact tests are performed to reveal the superelastic deformation and debonding failure of the SMA inserts. Improvement of the energy absorption capacity and toughness of the SMA-CFRP composite is confirmed by the comparison results.

Keywords: carbon fiber reinforced polymer composite     shape memory alloy wire     impact resistance     drop-weight test     finite element simulation    

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    

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    

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

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

Reversible data hiding using a transformer predictor and an adaptive embedding strategy Research Article

Linna ZHOU, Zhigao LU, Weike YOU, Xiaofei FANG,zhoulinna@bupt.edu.cn,luchen@uir.edu.cn,ywk@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1143-1155 doi: 10.1631/FITEE.2300041

Abstract: In the field of (RDH), designing a high-precision predictor to reduce the embedding distortion and developingan effective embedding strategy to minimize the distortion caused by embedding information are the twoIn this paper, we propose a new RDH method, including a predictor based on a and a novel embedding strategywith multiple embedding rules.Finally, we provide an embedding strategy including multiple embedding rules for the first time.

Keywords: Reversible data hiding     Transformer     Adaptive embedding strategy    

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Engineering 2018, Volume 4, Issue 1,   Pages 53-60 doi: 10.1016/j.eng.2018.01.004

Abstract: At present, it is very significant that certain scholars have combined the concept of the knowledge graph

Keywords: Cybersecurity     Knowledge graph     Knowledge deduction    

Title Author Date Type Operation

A forwarding graph embedding algorithm exploiting regional topology information

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Journal Article

Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Journal Article

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Shaojun ZHU; Makoto OHSAKI; Kazuki HAYASHI; Shaohan ZONG; Xiaonong GUO

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Journal Article

Large-scale graph processing systems: a survey

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

Journal Article

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Journal Article

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

Wenxuan CAO; Junjie LI

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

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

Reversible data hiding using a transformer predictor and an adaptive embedding strategy

Linna ZHOU, Zhigao LU, Weike YOU, Xiaofei FANG,zhoulinna@bupt.edu.cn,luchen@uir.edu.cn,ywk@bupt.edu.cn

Journal Article

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article