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Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 108-115 doi: 10.1007/s11465-016-0363-4

Abstract: wide usage of computer technologies attract a greater number of young people to explore the history of science

Keywords： 3D document     history of science and technology     technical knowledge     popularization     virtual environment     replica     mechanism and machine science (MMS)    

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Introduction to the special issue on the 2015 Workshop on History of Mechanism and Machine Science

Marco CECCARELLI

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 1-2 doi: 10.1007/s11465-016-0379-9

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities.microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine

Keywords： complex network     network science     spreading influence     machine learning    

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A novel six-legged walking machine tool for

Jimu LIU, Yuan TIAN, Feng GAO

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 351-364 doi: 10.1007/s11465-020-0594-2

Abstract: maintenance of large parts in ships, trains, aircrafts, and so on create an increasing demand for mobile machineThis study proposes a novel six-legged walking machine tool consisting of a legged mobile robot and aportable parallel kinematic machine tool.advantage of the large workspace of the legged mobile platform and the high precision of the parallel machineFinally, an application scenario is shown in which the walking machine tool steps successfully over a

Keywords： legged robot     parallel mechanism     mobile machine tool     in-situ machining    

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A redundantly actuated PRPRP radial mechanism in the segment erector of a shield machine for synchronization

Wanghui BU, Zhenyu LIU, Jianrong TAN, Jin CHENG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 463-467 doi: 10.1007/s11465-011-0225-z

Abstract:

The shield machine is a heavy construction machine for tunnel excavation, and the segment erectoris an important subsystem of the shield machine.difficult to achieve precise control in the 6-DOF (degree of freedom) erector in the 2-DOF 5-bar radial mechanismHence, this paper proposes a redundantly actuated PRPRP radial mechanism for the segment erector.When the redundant actuator is unlocked, the radial mechanism is able to adjust its posture, which has

Keywords： redundant actuation     parallel mechanisms     five-bar mechanisms     segment erectors     shield machines    

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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

Abstract: on various substrates and the functions of oxides are discussed to give an insight into the acting mechanism

Keywords： surface tension     liquid metal     soft machine     printed electronics     electrowetting     self-actuation    

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The Formation and the Research Content and Development Prospect of Crushing Mechanism

Dong Shuge,Rao Qilin

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 89-93

Abstract:

Crushing mechanism is an engineering basic subject which is derived from mechanism, combined withthe high efficiency and energy-saving development of mineral resources, and the change to crushing machine's application，crushing mechanism is becoming a more and more important subject, and forming a newmechanism branch.The modem development of crushing mechanism will accelerate theory's development of crushing mechanism

Keywords： crushing mechanism     crushing theory     crushing machine    

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 474-488 doi: 10.1007/s11465-019-0560-z

Abstract: An improved adaptive genetic algorithm was developed by using the hormone modulation mechanism to deal

Keywords： scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone modulation mechanism    

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Design and analysis of a class of redundant collaborative manipulators with 2-dimension large rotational angles

Xiaodong JIN, Yuefa FANG, Dan ZHANG, Xueling LUO

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 66-80 doi: 10.1007/s11465-019-0570-x

Abstract: The parallel spindle heads with high rotational capability are demanded in the area of multi-axis machineangles than the traditional A3/Z3 heads and can be potentially used in the application of multi-axis machine

Keywords： parallel mechanism     redundant mechanism     large rotational angles     machine tools     2R1T spindle head     collaborative    

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The Innovation in Theory and Policy-making Management Mechanism of Socialist Modernization Construction

Zhao Shaokui

Strategic Study of CAE 2002, Volume 4, Issue 8,   Pages 26-33

Abstract:

Based on the study of Qian Xuesen's latest work “Found the Theory on System”，this paper presents thoughts on how to accurately appraise the objective world, scientifically understand the objective world, vigorously greet the gauntlet of new century and carry forward socialist modernization construction with scientific theory.

Keywords： objective world     science and technology system     structure of socialist construction system     Meta-syntheticengineering     science decision     overall department    

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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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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The State of the Art of Data Science and Engineering in Structural Health Monitoring Article

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Engineering 2019, Volume 5, Issue 2,   Pages 234-242 doi: 10.1016/j.eng.2018.11.027

Abstract: The techniques related to massive data are referred to as data science and engineering, and include acquisitionThis paper provides a brief review of the state of the art of data science and engineering in SHM asapproaches using computer vision techniques, and condition assessment approaches for bridges using machine

Keywords： Structural health monitoring     Monitoring data     Compressive sampling     Machine learning     Deep learning    

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Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1

Abstract:

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.

Keywords： Elemental composition     Infrared spectroscopy     Machine learning     Moisture interference     Solid waste     Spectral    

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State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste

Keywords： Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

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Title Author Date Type Operation

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Journal Article

Introduction to the special issue on the 2015 Workshop on History of Mechanism and Machine Science

Marco CECCARELLI

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

A novel six-legged walking machine tool for

Jimu LIU, Yuan TIAN, Feng GAO

Journal Article

A redundantly actuated PRPRP radial mechanism in the segment erector of a shield machine for synchronization

Wanghui BU, Zhenyu LIU, Jianrong TAN, Jin CHENG

Journal Article

Surface tension of liquid metal: role, mechanism and application

Xi ZHAO, Shuo XU, Jing LIU

Journal Article

The Formation and the Research Content and Development Prospect of Crushing Mechanism

Dong Shuge,Rao Qilin

Journal Article

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Journal Article

Design and analysis of a class of redundant collaborative manipulators with 2-dimension large rotational angles

Xiaodong JIN, Yuefa FANG, Dan ZHANG, Xueling LUO

Journal Article

The Innovation in Theory and Policy-making Management Mechanism of Socialist Modernization Construction

Zhao Shaokui

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

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

Journal Article

The State of the Art of Data Science and Engineering in Structural Health Monitoring

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Journal Article

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article