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Clogging of slurry-shield tunnel-boring machine drives in sedimentary soft rock: A case study
Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0984-8
Keywords: slurry-shield TBM geological investigation clogging argillaceous siltstone TBM performance mitigation measures
ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen
Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 350-358 doi: 10.1007/s11709-008-0051-5
Keywords: construction different coastal conveyor excavation
Surface tension of liquid metal: role, mechanism and application
Xi ZHAO, Shuo XU, Jing LIU
Frontiers in Energy 2017, Volume 11, Issue 4, Pages 535-567 doi: 10.1007/s11708-017-0463-9
Keywords: surface tension liquid metal soft machine printed electronics electrowetting self-actuation
A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article
Yaoyao Bao, Yuanming Zhu, Feng Qian
Engineering 2022, Volume 18, Issue 11, Pages 186-196 doi: 10.1016/j.eng.2022.04.025
Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the local quadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neural networks (NNs). First, Mahalanobis metric learning is improved by optimizing the global consistency of the metrics between instances in the input and output space. Then, we further prove that the improved metric learning problem is equivalent to a convex programming problem by relaxing the constraints. Based on the hypothesis of local quadratic interpolation, the algorithm introduces two lightweight NNs; one is used to learn the coefficient matrix in the local quadratic model, and the other is implemented for weight assignment for the prediction results obtained from different local neighbors. Finally, the two sub-models are embedded in a unified regression framework, and the parameters are learned by means of a stochastic gradient descent (SGD) algorithm. The proposed algorithm can make full use of the information implied in target labels to find more reliable reference instances. Moreover, it prevents the model degradation caused by sensor drift and unmeasurable variables by modeling variable differences with the LQEL algorithm. Simulation results on multiple benchmark datasets and two practical industrial applications show that the proposed method outperforms several popular regression methods.
Keywords: Local quadratic embedding Metric learning Regression machine Soft sensor
Data-driven soft sensors in blast furnace ironmaking: a survey Review Article
Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3, Pages 327-354 doi: 10.1631/FITEE.2200366
Keywords: Soft sensors Data-driven modeling Machine learning Deep learning Blast furnace Ironmaking process
Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6, Pages 1379-1392 doi: 10.1007/s11709-019-0562-2
Keywords: Least Square Support Vector Machine Artificial Neural Network resilient modulus Recycled Concrete Aggregate
Development of soft kernel durum wheat
Craig F. MORRIS
Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3, Pages 273-278 doi: 10.15302/J-FASE-2019259
Keywords: soft durum wheat grain hardness puroindolines milling baking pasta noodles
Jun WU,Xuemei LIU
Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 3, Pages 323-340 doi: 10.1007/s11709-015-0301-2
Keywords: high strength concrete (SHS) engineered cementitious composite interface blast test strain rate effect
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0678-2
Keywords: pneumatic artificial muscles soft robot modeling approach principle of virtual work external load
Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun
Engineering 2023, Volume 22, Issue 3, Pages 82-93 doi: 10.1016/j.eng.2022.06.019
The soft sensing of key performance indicators (KPIs) plays an essential role in the decision-makingMany researchers have developed data-driven soft sensors using cutting-edge machine learning (ML) orRather, it should be able to automatically select a subset of features for soft sensor modeling, in whichTherefore, this study proposes a causal model-inspired automatic feature-selection method for the softFinally, the constructed subset is used to develop soft sensors for the KPIs by means of an AdaBoost
Keywords: Big data analytics Machine intelligence Quality prediction Soft sensors Intelligent manufacturing
Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata
Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4, Pages 533-545 doi: 10.1007/s11709-023-0946-1
Keywords: shield tunneling disc cutter load laboratory excavation test numerical calculation soft–hard varied
Frontiers of Medicine 2022, Volume 16, Issue 6, Pages 957-968 doi: 10.1007/s11684-021-0910-1
Keywords: skin and soft tissue infections hematopoietic stem cell transplantation risk stratification system
Design and experiment of a novel pneumatic soft arm based on a deployable origami exoskeleton
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0770-2
Keywords: pneumatic soft arm soft airbag deployable origami exoskeleton bistable characteristics cargo-loading
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1372-1389 doi: 10.1007/s11709-021-0772-2
Keywords: soft−hard composite layered rock mass double cracks crack evolution acoustic emission digital image
Seismic responses of subway station with different distributions of soft soil in Tianjin
Dejian YANG,Meiling DUAN
Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 2, Pages 187-193 doi: 10.1007/s11709-014-0252-z
Keywords: distribution of soft soil soft soil in Tianjin seismic response ANSYS
Title Author Date Type Operation
Clogging of slurry-shield tunnel-boring machine drives in sedimentary soft rock: A case study
Journal Article
Experimental study on working parameters of earth pressure balance shield machine tunneling in soft ground
ZHU Hehua, LIAO Shaoming, XU Qianwei, ZHENG Qizhen
Journal Article
Surface tension of liquid metal: role, mechanism and application
Xi ZHAO, Shuo XU, Jing LIU
Journal Article
A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing
Yaoyao Bao, Yuanming Zhu, Feng Qian
Journal Article
Data-driven soft sensors in blast furnace ironmaking: a survey
Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG
Journal Article
Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft
Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU
Journal Article
Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration
Jun WU,Xuemei LIU
Journal Article
Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles
Journal Article
A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in
Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun
Journal Article
Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata
Journal Article
Risk stratification system for skin and soft tissue infections after allogeneic hematopoietic stem cell
Journal Article
Design and experiment of a novel pneumatic soft arm based on a deployable origami exoskeleton
Journal Article
Crack evolution of soft–hard composite layered rock-like specimens with two fissures under uniaxial compression
Journal Article