检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Romario, Yulius Shan Bhat, Chinmai Ramezani, Maziar Pasang, Tim Chen, Zhangwei Jiang, Cho-Pei Graduate Institute of Manufacturing Technology National Taipei University of Technology 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan High-value Biomaterials Research and Commercialization Center National Taipei University of Technology 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan Department of Mechanical Engineering Auckland University of Technology Auckland1010 New Zealand Department of Engineering Design Manufacturing and Management Systems Western Michigan University KalamazooMI4900-5200 United States Additive Manufacturing Institute Shenzhen University Shenzhen518060 China Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robotics College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China Department of Mechanical Engineering National Taipei University of Technology Taiwan 1 Sec. 3 Zhongxiao E. Rd. Taipei10608 Taiwan

This paper aims to fabricate functionally graded dental crown using a multi-slurry tape casting additive manufacturing technology. The different luminescence of the dental crown was obtained with different composition of zirconia and yttria. Zirconia with tunable mechanical properties and translucency are obtained by adding 3, 3.5, 4, 4.5, and 5 mol% of yttrium oxide to zirconia powder. After obtaining the printable slurry with maximum solid loading, the green bodies are prepared using the in-house built high speed multi-ceramic tape casting technology. They are later sintered with two-stage sintering method. After the successful fabrication, the mechanical properties and translucency of the specimens were evaluated with Vickers hardness, three-point bending and translucency parameter tests. Finally, an FGM tooth crown with five photocurable slurries is proposed to demonstrate the translucent gradient effect of sintered part. The solid loading of 80% zirconia and 20% resin delivered samples without any surface cracks. The shrinkage ratio analysis showed that the sintered sample dimension was reduced by 20%, 20%, and 23% along X, Y, and Z directions. The samples fabricated with 3% yttrium oxide to zirconia delivered excellent hardness (1687 HV) and flexural strength (650.6 MPa). However, the relative luminescence increased with increasing the yttrium oxide for 3 – 5 mol%. With the optimized process parameters, the proposed dental crown is fabricated and analyzed for their shrinkage ratio, mechanical, and translucency properties. The study proposes the potential of fabricating customized dental crown with gradient translucent appearance. © 2024, The Authors. All rights reserved.

关键词： Zirconia

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Adaptive Artificial Time Delay control for Bipedal Walking with Robustification to State-dependent Constraint Forces

Adaptive Artificial Time Delay Control for Bipedal Walking w...

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International Conference on Advanced Robotics (ICAR)

作者： Amisha Bhaskar Swati Dantu Spandan Roy Jinoh Lee Simone Baldi University of Technology New Delhi India Robotics Research Center International Institute of Information Technology Hyderabad (IIIT-H) Hyderabad India Institute of Robotics and Mechatronics German Aerospace Center (DLR) Germany School of CyberScience and Engineering Southeast University Nanjing China Delft Center for Systems and Control TU Delft The Netherlands

ISBN: (纸本)9781665436854

Long standing challenges in adaptive bipedal walking control (i.e. control taking care of unknown robot parameters) were to unify the control design instead of designing multiple controllers for different walking phases as well as to bypass computing constraint forces, since it often leads to complex designs. A few attempts to design a single controller for all walking phases ignored or oversimplified the constraint forces. However, these forces are state-dependent and may lead to conservative performance or instability if not countered properly. This work proposes an innovative adaptive control method, based on artificial time delay control, which covers the entire bipedal walking phase and provides robustness against state-dependent unmodelled dynamics such as constraint forces and external impulsive forces arising during walking. Studies using a high fidelity simulator under various forms of disturbances show the effectiveness of the proposed design over the state of the art.

关键词： Legged locomotion Adaptation models control design Delay effects Dynamics Robustness Adaptive control

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Spreading dynamics of information on online social networks

arXiv

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arXiv 2025年

作者： Meng, Fanhui Xie, Jiarong Sun, Jiachen Xu, Cong Zeng, Yutian Wang, Xiangrong Jia, Tao Huang, Shuhong Deng, Youjin Hu, Yanqing School of Systems Science and Engineering Sun Yat-sen University Guangzhou510275 China Center for Computational Communication Research Beijing Normal University Zhuhai519087 China School of Journalism and Communication Beijing Normal University Beijing100875 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Department of Statistics and Data Science College of Science Southern University of Science and Technology Shenzhen518055 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China College of Computer and Information Science Chongqing Normal University Chongqing401331 China College of Computer and Information Science Southwest University Chongqing400715 China Institute of Neuroscience Technical University of Munich Munich80802 Germany Department of Modern Physics University of Science and Technology of China Hefei230026 China MinJiang Collaborative Center for Theoretical Physics College of Physics and Electronic Information Engineering Minjiang University Fuzhou350108 China Center for Complex Flows and Soft Matter Research Southern University of Science and Technology Shenzhen518055 China

Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the information spreading dynamics are complicated, and the reported mechanisms are different and even controversial. Based on data from mainstream social media platforms, including WeChat, Weibo, and Twitter, cumulatively encompassing a total of 7.45 billion users, we uncover a ubiquitous mechanism that the information spreading dynamics are basically driven by the interplay of social reinforcement and social weakening effects. Accordingly, we propose a concise equation, which, surprisingly, can well describe all the empirical large-scale spreading trajectories. Our theory resolves a number of controversial claims and satisfactorily explains many phenomena previously observed. It also reveals that the highly clustered nature of social networks can lead to rapid and high-frequency information bursts with relatively small coverage per burst. This vital feature enables social media to have a high capacity and diversity for information dissemination, beneficial for its ecological development. © 2025, CC BY.

关键词： Tweets

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Emerging contaminants:A One Health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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An intelligent model with chaos and causality

An intelligent model with chaos and causality

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第32届中国控制与决策会议

作者： Jiezhou Yu Jun Meng Changkai Sun Center for Data Mining and Systems Biology College of Electrical EngineeringZhejiang University Research & Educational Center for the Control Engineering of Translational Precision Medicine (R-ECCE-TPM) School of Biomedical EngineeringDalian University of Technology

The current machine learning method has the disadvantages of relying on data and statistics,and the model is ***,we propose a model based on *** model reconstructs the original system's attractor equivalently and explores the causality so that it can achieve accurate prediction of complex systems without *** the same time,causality can explain the *** analyzing the properties of chaos,such a model is sensitive and adaptable to the change of conditions,and its learning process is more like humans'.This method works well and makes precise predictions in complex nonlinear *** think causality and chaotic theory play important parts in the proposed method and it may provide a new idea for current research.

关键词： Intelligence Chaos Causality Interpretable Prediction

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An intelligent model with chaos and causality

An intelligent model with chaos and causality

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Chinese control and Decision Conference, CCDC

作者： Jiezhou Yu Jun Meng Changkai Sun Center for Data Mining and Systems Biology College of Electrical Engineering Zhejiang University Hangzhou China Research & Educational Center for the Control Engineering of Translational Precision Medicine (R-ECCE-TPM) School of Biomedical Engineering Dalian University of Technology Dalian China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

The current machine learning method has the disadvantages of relying on data and statistics, and the model is uninterpretable. So, we propose a model based on chaos. The model reconstructs the original system's attractor equivalently and explores the causality so that it can achieve accurate prediction of complex systems without statistics. At the same time, causality can explain the model. By analyzing the properties of chaos, such a model is sensitive and adaptable to the change of conditions, and its learning process is more like humans'. This method works well and makes precise predictions in complex nonlinear systems. We think causality and chaotic theory play important parts in the proposed method and it may provide a new idea for current research.

关键词：

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Direct Synthesis of High Silica Ssz-16 Zeolite with Extraordinarily Superior Performance in Nh3-Scr Reaction

SSRN

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SSRN 2023年

作者： Han, Shichao Rao, Wei Hu, Junyi Tang, Xiaomin Ma, Ye Du, Jinpeng Liu, Zhongqi Wu, Qinming Ma, Yanhang Meng, Xiangju Shan, Wenpo Xiao, Feng-Shou He, Hong Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control Ningbo Urban Environment Observation and Research Station Institute of Urban Environment Chinese Academy of Sciences Ningbo315800 China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in Wuhan Key Laboratory of Magnetic Resonance in Biological Systems Wuhan Institute of Physics and Mathematics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan430071 China School of Physical Science and Technology Shanghai Key Laboratory of High-resolution Electron Microscopy ShanghaiTech University Shanghai201210 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China Key Lab of Applied Chemistry of Zhejiang Province Department of Chemistry Zhejiang University Hangzhou310007 China

The development of Cu ion-exchanged small-pore zeolites with excellent performance and high hydrothermal stability in NH3-SCR reaction is of great importance. However, many frameworks of the small-pore zeolites are Al-rich, for instance, Cu-SSZ-16 zeolite with Si/Al ratio always no more than 5, showing relatively low hydrothermal stability. In this work, inspired by theoretical calculation for the interaction between organic structural directing agents (OSDAs) and zeolite framework, high silica SSZ-16 zeolite with Si/Al ratio at 6.7 was directly synthesized using an economical diquaternary alkylammonium cation as an OSDA. After exchanged with Cu ion, the Cu-SSZ-16 catalyst shows extraordinarily superior performance in NH3-SCR reaction even after hydrothermal aging at 900 °C. The designed synthesis combined with excellent performance as well as high hydrothermal stability of the high silica SSZ-16 zeolite might provide an attractive alternative candidate for NH3-SCR catalyst on diesel vehicles and non-road mobile machinery in the future. © 2023, The Authors. All rights reserved.

关键词： Zeolites

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New Theory of Turbulent Complex System and Its Mechanism

New Theory of Turbulent Complex System and Its Mechanism

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Chinese control Conference (CCC)

作者： Huize Yu Youping Fu Wenjun Zhu Jun Meng Changkai Sun Polytechnic Institute Zhejiang University Hangzhou China Center for Data Mining and Systems Biology College of Electrical Engineering Zhejiang University Hangzhou China Research & Educational Center for the Control Engineering of Translational Precision Medicine (R-ECCE-TPM) School of Biomedical Engineering Dalian University of Technology Dalian China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

This paper proposes a mechanism for turbulent complex systems based on simple rule coding. It means that through simple coding, turbulent complex phenomena can be generated. It is different from the traditional research method, which is to find additional conditions and relations according to the laws of turbulent motion so as to close the equations to obtain a unified equation. This article considers the complex system of turbulence as a whole system, and considers that the essence of turbulence is the self-organized movement to eliminate the energy gradient existing in the fluid system. From the perspective of phenomena, turbulent motion shows a high degree of complexity and unpredictability, but at the system level, turbulence maintains the overall self-organization. Simulation results show that turbulent complex systems can be realized by simple coding. In summary, under certain conditions, turbulent complex systems can be generated based on simple rule coding.

关键词： Mathematical model Complex systems Encoding Dynamics Acceleration Force Computational modeling

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A Brief research and Lookback of the Development of Iris Recognition

A Brief Research and Lookback of the Development of Iris Rec...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Li, Xiaoshuang Hu, Shenhua Lv, Chengkan Qin, Haojun Zhu, Fenghua Wang, Feiyue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing China School of Electrical Engineering and Aotumation Wuhan University Wuhan China

ISBN: (纸本)9781728128535

Personal identification has been used more and more widely in information society. Iris recognition, as one of numerous identification methods, has already been applied in many situations, because the iris patterns have stable, unique and non-invasive features. We analyze the general process of iris recognition in this paper, including image preprocessing, feature extraction, classification and recognition. We also study the progress in iris recognition brought by deep learning method. It is our belief that traditional approaches play a very significant role in iris recognition field, while deep learning methods will make a great difference to iris recognition. © 2019 IEEE.

关键词： Deep learning

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Design for improving the linearised flow control performance of large flow and high-pressure proportional valve

Design for improving the linearised flow control performance...

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作者： Zhang, Zhen Liang, L. Wang, Xudong Wang, Daihua Beijing Institute of Control Engineering Beijing100190 China Beijing Engineering Research Center of Efficient and Green Aerospace Propulsion Technology Beijing100190 China Institute of Multiscale Thermofluids School of Engineering University of Edinburgh EH9 3FD United Kingdom Chongqing DH Wisdom Science and Technologies Co. Chongqing401331 China Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education Chongqing University Chongqing400044 China Precision and Intelligence Laboratory Department of Optoelectronic Engineering Chongqing University Chongqing400044 China

To improve the linearisation of the variable flow-regulate system under the open-loop control, a proportional solenoid valve with high-linearity performance was developed to meet that requirement of the high-precision and open-loop control. The design of the proportional solenoid valve evolves the optimisation of a magnetic circuit structure, the construction of a balanced pressure structure and the compensation of a feedforward control device. As for the solenoid, it is very challenging to meet the requirement of 95% linearity. A feedforward control device with the Bouc-Wen model and a quadratic inverse function model is a good solution to address the hysteresis problem and achieve better performance. The optimisation of a simple magnetic circuit with low sensitivity to the moving armature and a balance chamber for removing the pressure difference are both preconditions to make the compensation. The feedforward control device is the next step to eliminate the hysteresis problem and non-linear characteristics of the solenoid by solving model coefficients measured in the test. After the improvement in these aspects, the proportional solenoid valve can meet the demand of digital proportional flow control with >98% linearity and excellent repeatability, through the validation of both no-load and high-load performance tests. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Solenoids

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