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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

Abstract: Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the localquadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neuralBased 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 implementedfor weight assignment for the prediction results obtained from different local neighbors.

Keywords： Local quadratic embedding Metric learning Regression machine Soft sensor

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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: In this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantembedding (LULDE).The proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inFirst, a new local statistical uncorrelated criterion is proposed, which effectively captures the local

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

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Linear quadratic optimal controller for cable-driven parallel robots

Saeed ABDOLSHAH,Erfan SHOJAEI BARJUEI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 344-351 doi: 10.1007/s11465-015-0364-8

Abstract: A linear quadratic (LQ) optimal controller can provide all the states of a system for the feedback, such

Keywords： accuracy cable-driven parallel robot linear quadratic optimal control

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A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3, Pages 302-310 doi: 10.1007/s11709-010-0026-1

Abstract: When stability field and computational accuracy are taken into account at the same time, the quadraticIt is also shown that the quadratic acceleration method has desirable arithmetic damp, amplitude decay

Keywords： polynomial acceleration method convergence stability square acceleration method

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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 importantHowever, most of the algorithms use only the local information of a node, such as CPU capacity and bandwidthconsidering 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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A linear quadratic regulator control of a stand-alone PEM fuel cell power plant

Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 62-72 doi: 10.1007/s11708-013-0291-5

Abstract: This paper introduces a technique based on linear quadratic regulator (LQR) to control the output voltage

Keywords： modeling of proton exchange membrane fuel cell (PEMFC) controlling of PEMFC linear quadratic regulator

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Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Frontiers in Energy 2013, Volume 7, Issue 1, Pages 90-102 doi: 10.1007/s11708-012-0224-8

Abstract: conducted for three scenarios: the scheme with a conventional integral controller; the scheme with a linear quadratic

Keywords： critical load frequency response load shedding (LS) multi-area system rate of change of frequency linear quadratic

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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 evaluateExperimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic

Keywords： Knowledge embedding Joint embedding Cost-sensitive learning

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High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2, Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximum

Keywords： second-order maximum entropy local maximum entropy second- and fourth-order phase-field models B-spline

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Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4, Pages 418-433 doi: 10.1007/s11783-007-0068-3

Abstract: The challenge of making central requirements work at local levels is a common problem for environmentalCountries can learn from one another s approaches, but must understand the local context in w

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EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1, Pages 61-72 doi: 10.15302/J-FASE-2022476

Abstract:

● Promotion of local sustainable innovation developed by forest farmers

Keywords： agroforestry forest farmers local innovation relative advantage social forestry

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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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Role of local governments in fostering the development of an emerging industry: A market-oriented policy

Jun JIN, Maureen McKELVEY, Ying DONG

Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 447-458 doi: 10.1007/s42524-020-0104-6

Abstract: This research investigates the role of local governments in stimulating an emerging industry and focusesMoreover, the primary contribution of this study is to emphasize the support of the local government

Keywords： market demand local government new energy vehicles

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Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM_2.5-related deaths were estimated to be 227 thousand in BTH & surrounding regions.

Keywords： PM_2.5 Regional transport Local emissions Health impact Environmental inequality

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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