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第八届国际振动工程会议

作者： Favour Okosun Sarah Guerin Syed A.M.Tofail Damien Thompson Mert Celikin Vikram Pakrashi Dynamical Systems and Risk Laboratory School of Mechanical and Materials EngineeringUniversity College Science Foundation Ireland (SFI) MaREI Centre University College The Energy Institute University College Department of Physics Bernal InstituteUniversity of Limerick Materials Design and Processing Laboratory School of Mechanical and Materials EngineeringUniversity College I- Form the SFI Research Centre for Advanced ManufacturingUniversity College

The use of harvested energy from the vibrations of mechanical systems is an open topic of discussion. In this regard, traditional lead-based(Pb) piezoelectric materials can harvest energy from dynamical systems in a way to monitor them in terms of sudden or gradual *** ability to detect the presence of damage, along with location and extent in certain circumstances, make them a new and promising technology in the field of Structural Health Monitoring(SHM). Despite recent evidence and examples on this topic, these materials have been criticized for being environmentally harmful. Biological piezoelectric materials can be an alternative in this regard. However, these materials have not been used in demonstrative benchmark experiments despite their potential. For these materials to be useful for industrial applications,consistent and demonstrative examples must be provided. For applications in SHM, this would mean not just demonstrative experimentation, but also characterization of the material and the sensors made out of such materials. Thus, a successful paradigm of bio-piezoelectric technology for SHM has several challenges at various scales and these must be understood clearly for their technological readiness. This paper presents some fundamental properties of biological piezoelectric energy harvesting in the context of the demands of SHM for various sectors. The work subsequently presents the core challenges and uncertainties of successful SHM implementation through demonstrative examples. It provides insights into the operation and usage of sensors from these novel materials and some directions towards making them more suitable for consistent SHM applications.

关键词： Challenges in using Biological Piezoelectric Energy Harvesting for Structural Health Monitoring

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Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties

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International Journal of Automation and computing 2019年第6期16卷 748-760页

作者： Song Lu Yang-Min Li Bing-Xiao Ding Department of Electromechanical Engineering University of MacaoTaipaMacao 853China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityKowloonHong Kong 852China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin University of TechnologyTianjin 300384China

Multi-objective dimensional optimization of parallel kinematic manipulators(PKMs) remains a challenging and worthwhile research endeavor. This paper presents a straightforward and systematic methodology for implementing the structure optimization analysis of a 3-prismatic-universal-universal(PUU) PKM when simultaneously considering motion transmission, velocity transmission and acceleration transmission. Firstly, inspired by a planar four-bar linkage mechanism, the motion transmission index of the spatial parallel manipulator is based on transmission angle which is defined as the pressure angle amongst limbs. Then, the velocity transmission index and acceleration transmission index are derived through the corresponding kinematics model. The multi-objective dimensional optimization under specific constraints is carried out by the improved non-dominated sorting genetic algorithm(NSGA Ⅱ), resulting in a set of Pareto optimal solutions. The final chosen solution shows that the manipulator with the optimized structure parameters can provide excellent motion, velocity and acceleration transmission properties.

关键词： Multi-objective optimization parallel kinematic manipulator transmission property non-dominated sorting genetic algorithm(NSGA Ⅱ)

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OpenGF: An ultra-large-scale ground filtering dataset built upon open ALS point clouds around the world

arXiv

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arXiv 2021年

作者： Qin, Nannan Tan, Weikai Ma, Lingfei Zhang, Dedong Li, Jonathan Key Laboratory of Planetary Sciences Purple Mountain Observatory Chinese Academy of Sciences Nanjing JS210023 China Department of Geography and Environmental Management University of Waterloo WaterlooONN2L 3G1 Canada School of Statistics and Mathematics Central University of Finance and Economics Beijing102206 China Department of Systems Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada

Ground filtering has remained a widely studied but incompletely resolved bottleneck for decades in the automatic generation of high-precision digital elevation model, due to the dramatic changes of topography and the complex structures of objects. The recent breakthrough of supervised deep learning algorithms in 3D scene understanding brings new solutions for better solving such problems. However, there are few large-scale and scene-rich public datasets dedicated to ground extraction, which considerably limits the development of effective deep-learning-based ground filtering methods. To this end, we present OpenGF, first Ultra-Large-Scale Ground Filtering dataset covering over 47 km2 of 9 different typical terrain scenes built upon open ALS point clouds of 4 different countries around the world. OpenGF contains more than half a billion finely labeled ground and non-ground points, thousands of times the number of labeled points than the de facto standard ISPRS filtertest dataset. We extensively evaluate the performance of state-of-the-art rule-based algorithms and 3D semantic segmentation networks on our dataset and provide a comprehensive analysis. The results have confirmed the capability of OpenGF to train deep learning models effectively. This dataset is released at https://***/Nathan-UW/OpenGF to promote more advancing research for ground filtering and large-scale 3D geographic environment understanding. Copyright © 2021, The Authors. All rights reserved.

关键词： Deep learning

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Orbital Magneto-Nonlinear Anomalous Hall Effect in Kagome Magnet Fe3Sn2

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Physical Review Letters 2024年第10期132卷 106601-106601页

作者： Lujunyu Wang Jiaojiao Zhu Haiyun Chen Hui Wang Jinjin Liu Yue-Xin Huang Bingyan Jiang Jiaji Zhao Hengjie Shi Guang Tian Haoyu Wang Yugui Yao Dapeng Yu Zhiwei Wang Cong Xiao Shengyuan A. Yang Xiaosong Wu State Key Laboratory for Artificial Microstructure and Mesoscopic Physics Frontiers Science Center for Nano-optoelectronics Peking University Beijing 100871 China Research Laboratory for Quantum Materials Singapore University of Technology and Design Singapore 487372 Singapore Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) School of Physics Beijing Institute of Technology Beijing 100081 China School of Sciences Great Bay University Dongguan 523000 China Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems Beijing Institute of Technology Beijing 100081 China Material Science Center Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Institute of Applied Physics and Materials Engineering University of Macau Taipa Macau China Department of Physics The University of Hong Kong Hong Kong China HKU-UCAS Joint Institute of Theoretical and Computational Physics at Hong Kong China Collaborative Innovation Center of Quantum Matter Beijing 100871 China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010 Jiangsu China

It has been theoretically predicted that perturbation of the Berry curvature by electromagnetic fields gives rise to intrinsic nonlinear anomalous Hall effects that are independent of scattering. Two types of nonlinear anomalous Hall effects are expected. The electric nonlinear Hall effect has recently begun to receive attention, while very few studies are concerned with the magneto-nonlinear Hall effect. Here, we combine experiment and first-principles calculations to show that the kagome ferromagnet Fe3Sn2 displays such a magneto-nonlinear Hall effect. By systematic field angular and temperature-dependent transport measurements, we unambiguously identify a large anomalous Hall current that is linear in both applied in-plane electric and magnetic fields, utilizing a unique in-plane configuration. We clarify its dominant orbital origin and connect it to the magneto-nonlinear Hall effect. The effect is governed by the intrinsic quantum geometric properties of Bloch electrons. Our results demonstrate the significance of the quantum geometry of electron wave functions from the orbital degree of freedom and open up a new direction in Hall transport effects.

关键词： Anomalous Hall effect Electronic structure Topological materials Kagome lattice Soft magnets Weyl semimetal

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Information Technology systems at the sharp end of medication therapy management

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019年第1期63卷 698 - 702页

作者： Reicelis Casares Li Rodrigo Arcuri Marques Pereira Alessandro Jatobá Mario Cesar Rodríguez Vidal Paulo Victor Rodrigues de Carvalho Kelly Grindrod Catherine Burns Advanced Interface Design Lab Systems Design Engineering University of Waterloo Ontario Canada Advanced Interface Design Lab Systems Design Engineering University of Waterloo Ontario CanadaComplex Systems Ergonomics Research Unit (GENTE) Federal University of Rio de Janeiro Brazil Oswaldo Cruz Foundation (FIOCRUZ) Rio de Janeiro Brazil Complex Systems Ergonomics Research Unit (GENTE) Federal University of Rio de Janeiro Brazil Nuclear Engineering Institute (IEN) Rio de Janeiro Brazil School of Pharmacy University of Waterloo Ontario Canada

This study explored how to inform the design of information systems for medication therapy management, in the context of the southwestern Ontario health system. The data collection comprised document analysis, interviews, and process mapping, and the analysis of previous interview records. The Functional Resonance Analysis Method (FRAM) was used for data analysis to identify the effects of functional variability in system outcomes, and to propose ways to redesign future systems. The results from the FRAM showed that shortcomings in the information systems require users to adapt in many ways. While these adjustments are essential to delivering care in everyday practice, they may lose their effectiveness in the face of specific situations, creating brittleness and risk of adverse outcomes as users are led to make challenging decisions.

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A boundary-enhanced supervoxel method for extraction of road edges in MLS point clouds 24

A boundary-enhanced supervoxel method for extraction of road...

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2020 24th ISPRS Congress - Technical Commission I

作者： Sha, Z. Chen, Y. Li, W. Wang, C. Nurunnabi, A. Li, J. Fujian Key Laboratory of Sensing and Computing for Smart Cities School of Informatics Xiamen University Xiamen Fujian361005 China Faculty of Science Technology and Communication University of Luxembourg Belval Campus 2 avenue de l'Université Esch-sur-AlzetteL-4365 Luxembourg Departments of Geography and Environmental Management and Systems Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada

Road extraction plays a significant role in production of high definition maps (HD maps). This paper presents a novel boundary-enhanced supervoxel segmentation method for extracting road edge contours from MLS point clouds. The proposed method first leverages normal feature judgment to obtain 3D point clouds global geometric information, then clusters points according to an existing method with global geometric information to enhance the boundaries. Finally, it utilizes the neighbor spatial distance metric to extract the contours and drop out existing outliers. The proposed method is tested on two datasets acquired by a RIEGL VMX-450 MLS system that contain the major point cloud scenes with different types of road boundaries. The experimental results demonstrate that the proposed method provides a promising solution for extracting contours efficiently and completely. Results show that the precision values are 1.5 times higher and approximately equal than the other two existing methods when the recall value is 0 for both tested two road datasets. © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.

关键词： Extraction

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Multi-Agent Collaborative Conceptual design Method for Robotic Manufacturing systems in SMEs

SSRN

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SSRN 2023年

作者： Zheng, Chen Du, Yuyang Sun, Tengfei Eynard, Benoît Zhang, Yicha Li, Jing Zhang, Xinwei School of Mechanical Engineering Northwestern Polytechnical University 127 West Youyi Road Shaanxi Xi’an710072 China Guangdong Provincial Key Laboratory of Advanced Welding Technology for Ships CSSC Huangpu Wenchong shipbuilding Company Limited Guangzhou China Department of Mechanical Systems Engineering Sorbonne Universités Université de Technologie de Compiègne Roberval Laboratory CS 60319 CompiègneCedex 60203 France Mechanical Engineering and Design Department Université de Bourgogne Franche-Comté Université de Technologie de Belfort-Montbéliard ICB UMR CNRS 6303 BelfortCedex 90010 France School of Management Northwestern Polytechnical University 127 West Youyi Road Shaanxi Xi’an710072 China

Robotic manufacturing systems are essential in the post-pandemic world because of their high level of flexibility and automation when facing a labor crisis. However, it is still challenging to design a suitable robotic manufacturing system for manufacturing Small- and mid-sized enterprises (SMEs), considering both the financial burdens of SMEs and the current supply chain disruptions of component *** address these challenges, this study proposes a distributed multi-agent collaborative conceptual design method involving designers and suppliers to assist SMEs in implementing robotic manufacturing systems. First, we propose a common data model that enables knowledge interaction between different agents during collaborative conceptual design. Subsequently, based on the proposed data model, the agent-based collaborative conceptual design process allows different agents to communicate, interact, and negotiate with each other according to their experiences and knowledge. Third, an integrative algorithm based on 2-additive fuzzy measures, Choquet integral and stochastic multi-criteria acceptability analysis is implemented to support the multi-agent decision-making process to robustly select architecture alternatives. As a case study, an SME industrial project of a robotic manufacturing system is adopted to demonstrate the effectiveness of the proposed method. © 2023, The Authors. All rights reserved.

关键词： Multi agent systems

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Crystal Thermal Transport in Altermagnetic RuO2

arXiv

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arXiv 2023年

作者： Zhou, Xiaodong Feng, Wanxiang Zhang, Run-Wu Šmejkal, Libor Sinova, Jairo Mokrousov, Yuriy Yao, Yugui Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement MOE School of Physics Beijing Institute of Technology Beijing100081 China Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing100081 China Laboratory of Quantum Functional Materials Design and Application School of Physics and Electronic Engineering Jiangsu Normal University Xuzhou221116 China Institute of Physics Johannes Gutenberg University Mainz Mainz55099 Germany Institute of Physics Czech Academy of Sciences Cukrovarnická 10 Praha 6162 00 Czech Republic Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich and JARA Jülich52425 Germany

We demonstrate the emergence of a pronounced thermal transport in the recently discovered class of magnetic materials − altermagents. From symmetry arguments and first principles calculations performed for the showcase altermagnet, RuO2, we uncover that crystal Nernst and crystal thermal Hall effects in this material are very large and strongly anisotropic with respect to the Néel vector. We find the large crystal thermal transport to originate from three sources of Berry’s curvature in momentum space: the Weyl fermions due to crossings between well-separated bands, the strong spin-flip pseudo-nodal surfaces, and the weak spin-flip ladder transitions, defined by transitions among very weakly spin-split states of similar dispersion crossing the Fermi surface. Moreover, we reveal that the anomalous thermal and electrical transport coefficients in RuO2 are linked by an extended Wiedemann-Franz law in a temperature range much wider than expected for conventional magnets. Our results suggest that altermagnets may assume a leading role in realizing concepts in spincaloritronics not achievable with ferromagnets or antiferromagnets. Copyright © 2023, The Authors. All rights reserved.

关键词： Ruthenium compounds

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Robust Simultaneous and Proportional Myoelectric Control Scheme for Individuals with Transradial Amputations

Robust Simultaneous and Proportional Myoelectric Control Sch...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Pradhan U. Kuruganti W. Hill N. Jiang V. Chester eBionics Lab Systems Design Engineering University of Waterloo Waterloo Canada Andrew and Marjorie McCain Human Performance Laboratory Faculty of Kinesiology University of New Brunswick Fredericton Canada Institute of Biomedical Engineering University of New Brunswick Fredericton Canada

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Commercial myoelectric prostheses need to be accurate and clinically viable to be successful. This study proposed a simultaneous and proportional control scheme with frequency division technique (SPEC-FDT) to address limitations in current myoelectric prosthesis control, specifically to address non-stationaries such as contraction level variations and unintended activations. Twenty able-bodied participants (14 males and 6 females, age 23.4 ± 3.0) and four individuals with transradial amputations performed wrist movements (flexion/extension, rotations and combined movements) in two degrees-of freedom virtual tasks. The SPEC-FDT had a completion rate (CR)>90% for both control and clinical participants which was significantly higher than the conventional technique (CR=68%). Our results showed that SPEC-FDT is highly accurate for both able-bodied and clinical participants and provides a robust myoelectric control scheme allowing for increased prosthetic hand functions.

关键词： Task analysis Prosthetics Robustness Training Electromyography Testing Wrist

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Massively Parallel Electromagnetic-Thermal Cosimulation of Large Antenna Arrays

Massively Parallel Electromagnetic-Thermal Cosimulation of L...

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作者： Zhang, Hao-Xuan Huang, Li Wang, Wei-Jie Zhao, Zhen-Guo Zhou, Liang Chen, Wenchao Zhou, Haijing Zhan, Qiwei Kolundzija, Branko Yin, Wen-Yan Key Laboratory of Ministry of Education of Design and EMC of High-Speed Electronic Systems Centre for Microwave and RF Technologies Shanghai Jiao Tong University Shanghai China Institute of Applied Physics and Computational Mathematics Beijing China Key Laboratory of Advanced Micro-Nano Electronic Devices and Smart Systems of Zhejiang Province Innovative Institute of Electromagnetic Information and Electronic Integration College of Information Science and Electronic Engineering Zhejiang University Hangzhou China School of Electrical Engineering University of Belgrade Belgrade Serbia

Electromagnetic-thermal cosimulation of large antenna arrays is performed by using a supercomputing-based parallel domain decomposition method. In this letter, frequency-domain electromagnetic and thermal fields are solved self-consistently and then coupled via Joule heat and temperature-dependent material properties. The developed cosimulation solver is first validated with the commercial software COMSOL Multiphysics. Then, the parallel performance of our in-house developed code is examined in terms of scalability and efficiency. Finally, the temperature distributions over large-scale antenna arrays are obtained by our proposed solver in a highly efficient manner. © 2002-2011 IEEE.

关键词： Finite element method

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