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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 evaluateBy optimizing the joint problem, our design is capable of effectively capturing the intrinsic topological

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

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Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900571

Abstract: this study, a novel framework based on is proposed to address such problems, in which a new hybrid embedding
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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.A 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    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: This study focuses on the mechanical characteristics and mechanism of a bolted circumferential jointanalytical algorithms for four stress stages are established to describe the bearing behaviors of the jointstudy is performed to verify the rationality of the simplified theoretical analysis for the segment jointinvestigation is conducted to discuss the factors affecting the ultimate compressive bending capacity of the jointThe method for optimizing the joint flexural stiffness is clarified.

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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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 in

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

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Finite element analysis on the seismic behavior of side joint of Prefabricated Cage System in prefabricated

Yunlin LIU, Shitao ZHU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1095-1104 doi: 10.1007/s11709-019-0538-2

Abstract: Side joint is the weak region of PCS concrete frame and has great influence on seismic behavior of theThus systematically study on the seismic behavior of PCS concrete side joint is necessary.This paper presents a finite element study on behavior of the side joint under seismic loading.

Keywords： PCS concrete side joint     numerical simulation     fiber-beam element joint model     solid element joint model    

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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    

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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    

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Dynamic characteristics of a magnetorheological pin joint for civil structures

Yancheng LI,Jianchun LI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 15-33 doi: 10.1007/s11465-014-0283-0

Abstract:

Magnetorheological (MR) pin joint is a novel device in which its joint moment resistance can be controlledThe smart pin joint is intended to be used as a controllable connector between the columns and beamsstructure, the main purpose of this paper is to test and characterise the hysteretic behaviour of MR pin jointA test scheme is designed to obtain the dynamic performance of MR pin joint in the dominant earthquake

Keywords： Magnetorheological pin joint     hyperbolic hysteresis model experimental testing frequency dependence    

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Human hip joint center analysis for biomechanical design of a hip joint exoskeleton Article

Wei YANG,Can-jun YANG,Ting XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 792-802 doi: 10.1631/FITEE.1500286

Abstract: The motions of the hip joint center with variation of the flexion angle were measured and the resultingThe humanexoskeleton model was analyzed to further validate the decrease of the hip joint internal forceduring hip joint flexion or abduction by applying the resulting design.

Keywords： Hip joint exoskeleton     Hip joint center     Compatible joint     Human-machine interaction force    

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Identification of dynamic stiffness matrix of bearing joint region

Feng HU, Bo WU, Youmin HU, Tielin SHI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3,   Pages 289-299 doi: 10.1007/s11465-009-0064-3

Abstract: The paper proposes an identification method of the dynamic stiffness matrix of a bearing joint regionThe dynamic stiffness matrix of the bearing joint region can be identified by measuring the matrix ofresults, and there is very high reliability in the identified dynamic stiffness matrix of the bearing joint

Keywords： frequency response function (FRFs)     dynamic stiffness     finite element     synthetic substructure method     joint    

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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: We 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    

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Joint slip investigation based on finite element modelling verified by experimental results on wind turbine

Saleh YAGHOOBI, Ahmad SHOOSHTARI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 341-351 doi: 10.1007/s11709-017-0393-y

Abstract:

Slippage corresponds to the relative displacement of a bolted joint subjected to shear loads sincethe construction clearance between the bolt shank and the bolthole at assembly can cause joint slip.Deflections of towers with joint slippage effects is up to 1.9 times greater than the displacements obtainedFinally, joint slip data for different types of angles, bolt diameter and bolt arrangements are generated

Keywords： Joint slip     cyclic loading     Finite element modelling     Experimental joint behavior     damping ratios (   

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General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0681-7

Abstract: solve all the inverse kinematics problems, and there is no common approach to solve arbitrary three-jointgeometric (NAG) methods that obtain the general closed-form inverse kinematics for all types of three-jointalgebraic constraints are used as the conditions precedent to solve the inverse kinematics of three-jointindicating that the inverse solutions are consistent with the given joint angles validate the generalThe simulation result shows the inverse solutions and six sets given joint angles are consistent.

Keywords： inverse kinematics     Paden–Kahan subproblems     three-joint subproblems     product of exponential     closed-form    

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Multi-omics joint analysis revealed the metabolic profile of retroperitoneal liposarcoma

Frontiers of Medicine doi: 10.1007/s11684-023-1020-z

Abstract: Retroperitoneal liposarcoma (RLPS) is the main subtype of retroperitoneal soft sarcoma (RSTS) and has a poor prognosis and few treatment options, except for surgery. The proteomic and metabolic profiles of RLPS have remained unclear. The aim of our study was to reveal the metabolic profile of RLPS. Here, we performed proteomic analysis (n = 10), metabolomic analysis (n = 51), and lipidomic analysis (n = 50) of retroperitoneal dedifferentiated liposarcoma (RDDLPS) and retroperitoneal well-differentiated liposarcoma (RWDLPS) tissue and paired adjacent adipose tissue obtained during surgery. Data analysis mainly revealed that glycolysis, purine metabolism, pyrimidine metabolism and phospholipid formation were upregulated in both RDDLPS and RWDLPS tissue compared with the adjacent adipose tissue, whereas the tricarboxylic acid (TCA) cycle, lipid absorption and synthesis, fatty acid degradation and biosynthesis, as well as glycine, serine, and threonine metabolism were downregulated. Of particular importance, the glycolytic inhibitor 2-deoxy-D-glucose and pentose phosphate pathway (PPP) inhibitor RRX-001 significantly promoted the antitumor effects of the MDM2 inhibitor RG7112 and CDK4 inhibitor abemaciclib. Our study not only describes the metabolic profiles of RDDLPS and RWDLPS, but also offers potential therapeutic targets and strategies for RLPS.

Keywords： RLPS     proteomics     metabolomics     lipidomics     metabolism    

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Title Author Date Type Operation

Joint entity–relation knowledge embedding via cost-sensitive learning

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

Journal Article

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Virtual network embedding based on real-time topological attributes

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

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

Finite element analysis on the seismic behavior of side joint of Prefabricated Cage System in prefabricated

Yunlin LIU, Shitao ZHU

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

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

Dynamic characteristics of a magnetorheological pin joint for civil structures

Yancheng LI,Jianchun LI

Journal Article

Human hip joint center analysis for biomechanical design of a hip joint exoskeleton

Wei YANG,Can-jun YANG,Ting XU

Journal Article

Identification of dynamic stiffness matrix of bearing joint region

Feng HU, Bo WU, Youmin HU, Tielin SHI

Journal Article

A forwarding graph embedding algorithm exploiting regional topology information

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

Journal Article

Joint slip investigation based on finite element modelling verified by experimental results on wind turbine

Saleh YAGHOOBI, Ahmad SHOOSHTARI

Journal Article

General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of

Journal Article

Multi-omics joint analysis revealed the metabolic profile of retroperitoneal liposarcoma

Journal Article