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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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The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 182-194 doi: 10.15302/J-FEM-2018085

Abstract: Machine intelligence is increasingly entering roles that were until recently dominated by human intelligenceTherefore, this research explores the emerging area of human versus machine decision-making.An illustrative engineering case involving a joint machine and human decision-making system is presentedWe offer that the speed at which new human-machine interactions are being encountered by engineeringHuman-machine systems are becoming pervasive yet this research has revealed that current technological

Keywords： human intelligence & machine intelligence     HI-MI     decision-making     artificial intelligence    

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relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2

Abstract:

● A novel framework integrating quantile regression with machine learning

Keywords： Driver-response     Upper boundary of relationship     Interpretable machine learning     Quantile regression    

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Overall HIEs deconstruction method and its application

Li LIN, Chengqi XUE,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 466-471 doi: 10.1007/s11465-009-0076-z

Abstract: Based on the human interface elements (HIEs) as the emotional carriers, this paper researches the generalresearch subject, the emotional design rules are inferred based on the multiple-orientation information of human

Keywords： product design     relationship model     human interface     design rules     emotion    

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Reconstructing Human‒Coal Space Relationship Through Coalmine Intellectualization

Fan Jingdao, Jin Zhixin, Wang Guofa, Li Chuan, Liu Wei, Yan Zhenguo

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 243-253 doi: 10.15302/J-SSCAE-2023.07.014

Abstract:

The human‒coal space relationship is significant for the safe and efficientReconstructing the human‒coal space order using intelligent technologies in coalmines will provide aThis study examines the evolution and research progress of the human‒coal space relationship and proposesa human‒physical‒information (HPC) space form to break constraints from the traditional human‒physicalspace relationship.

Keywords： coalmine intellectualization     spatial relationship     human‒physical‒information space     virtual‒real fusion    

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Artificial intelligence and statistics Perspective

Bin YU, Karl KUMBIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 6-9 doi: 10.1631/FITEE.1700813

Abstract: It calls for the application of statistical concepts through human-machine collaboration during the generationThis paper discusses how such human-machine collaboration can be approached through the statistical conceptsThe PQRS workflow provides a conceptual framework for integrating statistical ideas with human input

Keywords： Artificial intelligence     Statistics     Human-machine collaboration    

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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 approach is based on mechanisms designed to follow the natural trajectories of the human hip as theThe resulting design can reduce human-machine interaction forces by 24.1% and 76.0% during hip flexion

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

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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms Research Article

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1142-1157 doi: 10.1631/FITEE.2100418

Abstract: We describe the historical development of complex system science and analyze the limitations of humanintelligence and machine intelligence.The need for using human-machine HAI in is then explained in detail.

Keywords： Complex systems     Human-machine knowledge automation     Parallel systems     Bulk power grid dispatch     Artificialintelligence    

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Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Frontiers of Structural and Civil Engineering   Pages 1326-1340 doi: 10.1007/s11709-023-0014-x

Abstract: Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Keywords： strain relationship concrete    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: in size of the information community, and interlinking and fusion of data and information throughout human

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

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Mesh relationship modeling and dynamic characteristic analysis of external spur gears with gear wear

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 9-9 doi: 10.1007/s11465-021-0665-z

Abstract: Gear wear is one of the most common gear failures, which changes the mesh relationship of normal gearA new mesh relationship caused by gear wear affects meshing excitations, such as mesh stiffness and transmissionThis paper aims to establish the model of mesh relationship and reveal the vibration characteristicsA geometric model for a new mesh relationship with gear wear is proposed, which is utilized to evaluateComparison with the experimental results verifies the proposed dynamic model based on the new mesh relationship

Keywords： gear wear     mesh relationship     mesh stiffness     transmission error     vibration characteristics    

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Humans are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing

Yuqian Lu, Juvenal Sastre Adrados, Saahil Shivneel Chand, Lihui Wang

Engineering 2021, Volume 7, Issue 6,   Pages 734-737 doi: 10.1016/j.eng.2020.09.018

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Human-machine augmented intelligence: research and applications Editorial

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1139-1141 doi: 10.1631/FITEE.2250000

Abstract: The main idea of human-machine augmented intelligence (HAI) is to adopt the role of humans or to embedRecent existing research activities on HITL-HAI include theories for human-machine collaboration, human-braininterfaces, human-machine coordination and teaming, and advanced perception and smart environments forhuman-machine collaboration.Brain-computer interfaces have become increasingly important among communication channels for human-machine
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Mapping the structure-activity relationship of

Worawan PANPIPAT, Hasene KESKIN, Zheng GUO

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 1,   Pages 105-113 doi: 10.1007/s11705-015-1502-x

Abstract: The phase behavior of twelve synthesized -sitosteryl fatty acid esters with acyl moieties with different chain lengths (C2:0-C18:0) and different degrees of unsaturation (C18:1-C18:3) were investigated in pure and mixed Langmuir monolayers with phospholipids. The surface-pressure isotherms showed that short chain -sitosteryl fatty acid esters gave smaller mean molecular areas and had decreased monolayer stability and the long chain steryl esters did not produce collapsed plateaus. All the steryl esters displayed strong condensing effects, but there was a pronounced structural dependency: medium chain esters (C8 and C10) were less efficient than short and long chain esters. Atomic force microscopy imaging demonstrated that monolayers mixed with dipalmitoyl phosphatidylcholine (DPPC) displayed both DPPC-rich and steryl lipid-rich domains. However, the height and area differences between the two phases and the roughness and morphologic patterns were very dependent on the steryl lipid concentrations as well as the length, the degree of unsaturation and the molecular conformations of the acyl segments. These findings not only provide a better understanding of the interactions between phytosteryl hydrophobic derivatives and biomembranes, but also may be of general use for the design and engineering of phytosterol structural derivations for specific food and pharmaceutical applications.

Keywords： acid esters     dipalmitoyl phosphatidylcholine     Langmuir monolayer     condensing effect     structure-activity relationship    

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Title Author Date Type Operation

Challenges of human–machine collaboration in risky decision-making

Journal Article

The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Journal Article

relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine

Journal Article

Overall HIEs deconstruction method and its application

Li LIN, Chengqi XUE,

Journal Article

Reconstructing Human‒Coal Space Relationship Through Coalmine Intellectualization

Fan Jingdao, Jin Zhixin, Wang Guofa, Li Chuan, Liu Wei, Yan Zhenguo

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article

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

Wei YANG,Can-jun YANG,Ting XU

Journal Article

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Journal Article

Influence of freeze–thaw damage gradient on stress–strain relationship of stressed concrete

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Mesh relationship modeling and dynamic characteristic analysis of external spur gears with gear wear

Journal Article

Humans are Not Machines—Anthropocentric Human–Machine Symbiosis for Ultra-Flexible Smart Manufacturing

Yuqian Lu, Juvenal Sastre Adrados, Saahil Shivneel Chand, Lihui Wang

Journal Article

Li Xinyu: Research on the relationship Between Institutional Pressure, Executives' Awareness of EnvironmentalProtection and Green Human Resource Management (2020-7-11)

19 May 2022

Conference Videos

Human-machine augmented intelligence: research and applications

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Journal Article

Mapping the structure-activity relationship of

Worawan PANPIPAT, Hasene KESKIN, Zheng GUO

Journal Article