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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 flexionThe humanexoskeleton model was analyzed to further validate the decrease of the hip joint internal force

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

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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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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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Parallel cognition: hybrid intelligence for human-machine interaction and management Research Article

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1765-1779 doi: 10.1631/FITEE.2100335

Abstract: models are sometimes not applicable in cyber-physical-social-systems (CPSSs), where the large number of humanTo reduce the decision-making conflicts between people and machines in human-centered systems, we proposecognitive visual reasoning, indicate that our parallel cognition learning is effective and feasible for human, and can thus facilitate human-machine cooperation in both complex engineering and social systems.

Keywords： Cognitive learning     Artificial intelligence     Behavioral prescription    

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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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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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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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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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Micromechanics model for static and dynamic strength of concrete under confinement

ZHENG Dan

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 329-335 doi: 10.1007/s11709-008-0044-4

Abstract: The process of propagation, kinking of micro-cracks in concrete and the interaction among cracks as wellThe pseudo-force method is applied to calculate the compressive strength factor of kinky propagated cracktaking into account the effect of interaction among cracks.

Keywords： comparison     different     interaction     pseudo-force     toughness    

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Comparative assessment of force, temperature, and wheel wear in sustainable grinding aerospace alloy

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0719-x

Abstract: However, serious tool wear and workpiece damage in difficult-to-machine material grinding challengesSecondly, the comparative assessment of force, temperature, wheel wear and workpiece surface for titanium

Keywords： grinding     aerospace     difficult-to-machine material     biolubricant     physicochemical property     grindability    

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Machine learning-based seismic assessment of framed structures with soil-structure interaction

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 205-223 doi: 10.1007/s11709-022-0909-y

Abstract: The objective of the current study is to propose an expert system framework based on a supervised machineto predict the seismic performance of low- to mid-rise frame structures considering soil-structure interaction

Keywords： seismic hazard     artificial neural network     soil-structure interaction     seismic analysis    

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Development, applications and challenges of ReaxFF reactive force field in molecular simulations

You Han, Dandan Jiang, Jinli Zhang, Wei Li, Zhongxue Gan, Junjie Gu

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 1,   Pages 16-38 doi: 10.1007/s11705-015-1545-z

Abstract: As an advanced and new technology in molecular simulation fields, ReaxFF reactive force field has beenReaxFF bridges the gap between quantum chemistry (QC) and non-reactive empirical force field based molecularThis review presents an overview of the development and applications of ReaxFF reactive force field inThe limitations and challenges of ReaxFF reactive force field are also mentioned in this review, which

Keywords： ReaxFF     reaction mechanism     nanomaterials     interfacial interaction     catalyst     fuel cell    

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The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: Here, we propose the group interaction field (GIF), a novel group-aware representation that quantifiesGIFNet quantifies the influence of group behaviors by formulating a group interaction graph with propagationand graph attention that is adaptive to the group size and dynamic interaction states.The proposed GIF will eventually be able to allow unmanned systems to work in a human-like manner andcomply with social norms, thereby promoting harmonious human–machine relationships.

Keywords： Human behavior modeling and prediction     Implicit representation of pedestrian anticipation     Group interaction    

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Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton None

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1076-1085 doi: 10.1631/FITEE.1601667

Abstract: via humanexoskeleton interaction signals measured by biomedical or mechanical sensors, and estimateshuman gait trajectories to implement corresponding actions quickly and accurately.interaction (pHRI) torque information directly.Simultaneously, the mapping from the pHRI torque to the human gait trajectory is defined.The walking phase is identified by the threshold approach using ground reaction force.

Keywords： Exoskeleton     Physical human-robot interaction     Torque sensor     Human gait     Kalman smoother    

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Title Author Date Type Operation

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

Wei YANG,Can-jun YANG,Ting XU

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article

Parallel cognition: hybrid intelligence for human-machine interaction and management

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

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

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

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

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

Donald KENNEDY, Simon P. PHILBIN

Journal Article

Zang Jianfeng: Research on Intelligent Soft Materials for Human-Machine Integration（2020.1.10）

臧剑锋(高级职称)

2 Apr 2021

Conference Videos

Micromechanics model for static and dynamic strength of concrete under confinement

ZHENG Dan

Journal Article

Comparative assessment of force, temperature, and wheel wear in sustainable grinding aerospace alloy

Journal Article

Machine learning-based seismic assessment of framed structures with soil-structure interaction

Journal Article

Development, applications and challenges of ReaxFF reactive force field in molecular simulations

You Han, Dandan Jiang, Jinli Zhang, Wei Li, Zhongxue Gan, Junjie Gu

Journal Article

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Journal Article

Physical human-robot interaction estimation based control scheme for a hydraulically actuated exoskeleton

Yi LONG, Zhi-jiang DU, Wei-dong WANG, Long HE, Xi-wang MAO, Wei DONG

Journal Article