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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: In this study, the optimum cutting parameters are obtained by the grey relational analysis.The results of experiments show that grey relational analysis coupled with principal component analysis

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting Artical

Longbing Cao

Engineering 2016, Volume 2, Issue 2,   Pages 212-224 doi: 10.1016/J.ENG.2016.02.013

Abstract:

While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or uninteresting products and services. A critical reason for such bad recommendations lies in the intrinsic assumption that recommended users and items are independent and identically distributed (IID) in existing theories and systems. Another phenomenon is that, while tremendous efforts have been made to model specific aspects of users or items, the overall user and item characteristics and their non-IIDness have been overlooked. In this paper, the non-IID nature and characteristics of recommendation are discussed, followed by the non-IID theoretical framework in order to build a deep and comprehensive understanding of the intrinsic nature of recommendation problems, from the perspective of both couplings and heterogeneity. This non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research and can hopefully deliver informed, relevant, personalized, and actionable recommendations. It creates exciting new directions and fundamental solutions to address various complexities including cold-start, sparse data-based, cross-domain, group-based, and shilling attack-related issues.

Keywords： Independent and identically distributed (IID)     Non-IID     Heterogeneity     Coupling relationship     Coupling learning     Relational learning     IIDness learning     Non-IIDness learning     Recommender system     Recommendation     Non-IID    

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Are Relational Contracting Approaches Applicable to Public Projects in China?

Wei-ya Hao,Hui-ping Ding,Yong-jian Ke,Ying-ying Wang

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 358-363 doi: 10.15302/J-FEM-2014052

Abstract: Rising complexities in construction projects management has boosted the importance of relational contracting

Keywords： relational contracting     public construction     relationship    

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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract:

Multi-relational data mining is one of rapidly developing subfields ofMulti-relational frequent pattern discovery approaches directly look for frequent patterns that involvemultiple relations from a relational database.While the state-of-the-art of multi-relational frequent pattern discovery approaches is based on theinductive logical programming techniques, we propose an approach to semantically condensed multi-relational

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

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MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting     Deep residual network     Transfer learning     Cyclic learning rate     Visualization    

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Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: Dynamic reliability is a very important issue in reliability research. The dynamic reliability analysis for the project is still in search of domestic and international research in the exploration stage. By now, dynamic reliability research mainly concentrates on the reliability assessment; the methods mainly include dynamic fault tree, extension of event sequence diagram and Monte Carlo simulation, and et al. The paper aims to research the dynamic reliability optimization. On the basis of analysis of the four quality influence factors in the construction engineering, a method based on gray correlation degree is employed to calculate the weights of factors affecting construction process quality. Then the weights are added into the reliability improvement feasible index (RIFI). Furthermore, a novel nonlinear programming mathematic optimization model is established. In the Insight software environment, the Adaptive Simulated Annealing (ASA) algorithm is used to get a more accurate construction subsystem optimal reliability under different RIFI conditions. In addition, the relationship between construction quality and construction system reliability is analyzed, the proposed methods and detailed processing can offer a useful reference for improving the construction system quality level.

Keywords： civil engineering     dynamic reliability     grey relational degree     adaptive simulated annealing algorithm    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Analysis of synergy degree and its influencing factors in hydropower EPC project management

Jiwei ZHU, Hua GAO, Jiangrui WANG

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 402-411 doi: 10.1007/s42524-020-0098-0

Abstract: Furthermore, the evaluation index system and the degree of synergy model are established, and grey relational

Keywords： hydropower project     EPC mode     synergy degree model     grey relational analysis    

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Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5

Abstract:

● A novel integrated machine learning method to analyze O3

Keywords： Ozone     Integrated method     Machine learning    

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Machine learning in building energy management: A critical review and future directions

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 239-256 doi: 10.1007/s42524-021-0181-1

Abstract: Over the past two decades, machine learning (ML) has elicited increasing attention in building energy

Keywords： building energy management     machine learning     integrated framework     knowledge evolution    

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Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: exploration of the design variable space for such scenarios, an adaptive sampling technique based on machine learning

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Optimization of multi machining characteristics in WEDM of WC-5.3%Co composite using integrated approach of Taguchi, GRA and entropy method

Kamal JANGRA, Sandeep GROVER, Aman AGGARWAL

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 288-299 doi: 10.1007/s11465-012-0333-4

Abstract: In order to optimize the four machining characteristics simultaneously, grey relational analysis (GRAThrough GRA, grey relational grade has been computed as a performance index for predicting the optimalUsing Analysis of Variance (ANOVA) on grey relational grade, significant parameters affecting the multi-machining

Keywords： tungsten carbide composite     wire electrical discharge machining (WEDM)     Taguchi method     grey relational    

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Optimization of polyurethane-bonded thin overlay mixture designation for airport pavement

Xianrui LI; Ling XU; Qidi ZONG; Fu JIANG; Xinyao YU; Jun WANG; Feipeng XIAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 947-961 doi: 10.1007/s11709-022-0836-y

Abstract: conducted to evaluate the effects of gradation and particle size on PUM performances based on gray relational

Keywords： polyurethane-bonded mixture     mix design optimization     airport pavement     thin overlay     gray relational    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: In recent years, machine learning has been widely used in various pattern recognition tasks and has demonstratedMachine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveThis paper primarily aims to review the research and application of machine learning in the field ofThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelydiagnosis under actual operating conditions are revealed, and the future research trends of machine learning

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: Hence, a gated recurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predictdecision support for moving trajectory control and serve as a foundation for the application of deep learning

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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Title Author Date Type Operation

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

Longbing Cao

Journal Article

Are Relational Contracting Approaches Applicable to Public Projects in China?

Wei-ya Hao,Hui-ping Ding,Yong-jian Ke,Ying-ying Wang

Journal Article

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Journal Article

Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method

Xiao-ping BAI,Ya-nan LIU

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Analysis of synergy degree and its influencing factors in hydropower EPC project management

Jiwei ZHU, Hua GAO, Jiangrui WANG

Journal Article

Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method

Journal Article

Machine learning in building energy management: A critical review and future directions

Journal Article

Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet

Journal Article

Optimization of multi machining characteristics in WEDM of WC-5.3%Co composite using integrated approach of Taguchi, GRA and entropy method

Kamal JANGRA, Sandeep GROVER, Aman AGGARWAL

Journal Article

Optimization of polyurethane-bonded thin overlay mixture designation for airport pavement

Xianrui LI; Ling XU; Qidi ZONG; Fu JIANG; Xinyao YU; Jun WANG; Feipeng XIAO

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article