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Analytical and Numerical Investigation of Primary and Cross Waves in a Flume with Double Shoals

China Ocean Engineering 2025年第2期39卷 290-302页

作者： WANG Gang XIN Song-gang LI Chuan-zhong FU Rui-li ZHANG Yao SHI Hua-bin Key Laboratory of Coastal Disaster and Protection(Hohai University) Ministry of EducationNanjing 210098China College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China National Marine Hazard Mitigation Service Ministry of Natural ResourcesBeijing 100000China State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology University of MacaoMacaoChina

Flume experiments play a pivotal role in studying wave propagation,with wave elements typically assumed to remain constant in the perpendicular ***,evident cross wave phenomena were observed within flumes under certain *** paper presents new analytical solutions for both primary and cross waves on double shoals in a flume via linear shallow-water equations,which may be used to idealize dynamic experimental configurations of coral *** primary waves on double shoals are described by the associated Legendre functions,whereas the ultimate solutions are derived by considering the incident and reflected waves in front of a bathymetry and the transmitted waves positioned behind *** effects of the angular frequency and topographic parameters on the primary waves are subsequently *** waves on double shoals constitute a type of topographically trapped wave whose solutions are formulated by combining the first and second types of the associated Legendre *** angular frequency is not only determined by the wavenumber but also influenced by the topographic *** experiments are conducted to investigate the generation mechanism of cross *** consistency between the numerical results and analytical solutions confirms the validity of the new analytical framework of cross waves on double shoals.

关键词： cross waves primary waves analytical solutions wave flume numerical experiments

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Learning Rat-Like Behavioral Interaction Using a Small-Scale Robotic Rat

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Cyborg and Bionic systems 2023年第1期4卷 225-232页

作者： Hongzhao Xie Zihang Gao Guanglu Jia Shingo Shimoda Qing Shi Intelligent Robotics Institute School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China Key Laboratory of Biomimetic Robots and Systems(Beijing Institute of Technology) Ministry of EducationBeijing 100081China Nagoya University Graduate School of Medicine NagoyaJapan

In this paper,we propose a novel method for emulating rat-like behavioral interactions in robots using reinforcement ***,we develop a state decision method to optimize the interaction process among 6 known behavior types that have been identified in previous research on rat *** novelty of our method lies in using the temporal difference(TD)algorithm to optimize the state decision process,which enables the robots to make informed decisions about their behavior *** assess the similarity between robot and rat behavior,we use Pearson *** then use TD-λto update the state value function and make state decisions based on *** robots execute these decisions using our dynamics-based *** results demonstrate that our method can generate rat-like behaviors on both short-and long-term timescales,with interaction information entropy comparable to that between real ***,our approach shows promise for controlling robots in robot-rat interactions and highlights the potential of using reinforcement learning to develop more sophisticated robotic systems.

关键词： robot enable similarity

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Joint self-supervised and reference-guided learning for depth inpainting

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Computational Visual Media 2022年第4期8卷 597-612页

作者： Heng Wu Kui Fu Yifan Zhao Haokun Song Jia Li State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Depth information can benefit various computer vision tasks on both images and ***,depth maps may suffer from invalid values in many pixels,and also large *** improve such data,we propose a joint self-supervised and reference-guided learning approach for depth *** the self-supervised learning strategy,we introduce an improved spatial convolutional sparse coding module in which total variation regularization is employed to enhance the structural information while preserving edge *** module alternately learns a convolutional dictionary and sparse coding from a corrupted depth ***,both the learned convolutional dictionary and sparse coding are convolved to yield an initial depth map,which is effectively smoothed using local contextual *** reference-guided learning part is inspired by the fact that adjacent pixels with close colors in the RGB image tend to have similar depth *** thus construct a hierarchical joint bilateral filter module using the corresponding color image to fill in large *** summary,our approach integrates a convolutional sparse coding module to preserve local contextual information and a hierarchical joint bilateral filter module for filling using specific adjacent *** results show that the proposed approach works well for both invalid value restoration and large hole inpainting.

关键词： depth inpainting self-supervised learning reference-guided learning

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Editorial for Machine learning and AI for underground metaverse

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Underground Space 2024年第6期19卷 1-3页

作者： Kok-Kwang Phoon Qiujing Pan Chong Tang Information Systems Technology and Design/Architecture and Sustainable Design Singapore University of Technology and DesignSingapore 487372 School of Civil Engineering Central South UniversityChangsha 410075China State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China

It is widely recognized that civil engineering practice,including underground construction,is lagging the fast pace digital transformation taking place in many *** key reason for this revolution is the emergence and convergence of digital technologies that include machine learning,artificial intelligence(AI),blockchain,cloud/edge computing,Internet of Things,5G communication,automation,digital twin,and *** parallel,Industry 4.0 is now complemented by Industry 5.0 that advocates a shift from economic value to societal value(sustainability,well-being,etc.).This means a shift from enterprises benefiting shareholders(profits)to stakeholders(people).

关键词： learning artificial underground

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Boosting electrochemical reduction of CO_(2)to CO using molecule-regulated Ag nanoparticle in ionic liquids

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Green Energy & Environment 2025年第4期10卷 813-820页

作者： Fangfang Li Kuilin Peng Chongyang Jiang Shaojuan Zeng Xiangping Zhang Xiaoyan Ji Energy Engineering Division of Energy ScienceLuleåUniversity of TechnologyLuleå97187Sweden Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing100190China College of Chemical Engineering and Environment China University of PetroleumBeijing102249China

Electrochemical reduction of CO_(2)is a promising approach to convert CO_(2)to high-valued chemicals and ***,developing efficient electrocatalysts featuring desirable activity and selectivity is still a big *** this work,a strategy of introducing functionalized molecules with desirable CO_(2)affinity to regulate Ag catalyst for promoting electrochemical reduction of CO_(2)was ***,3-mercapto-1,2,4-triazole was introduced onto the Ag nanoparticle(Ag-m-Triz)for the first time to achieve selectively converting CO_(2)to carbon monoxide(CO).This Ag-m-Triz exhibits excellent performance for CO_(2)reduction with a high CO Faradaic efficiency(FECO)of 99.2%and CO partial current density of 85.0 mA cm^(-2)at-2.3 V ***/Ag^(+) in H-cell when combined with the ionic liquid-based electrolyte,30 wt%1-butyl-3-methylimidazolium hexafluorophosphate([Bmim][PF6])-65 wt%acetonitrile(AcN)-5 wt%H2O,which is 2.5-fold higher than the current density in Ag-powder under the same *** studies confirm that the significantly improved performance of Ag-m-Triz originates from(i)the stronger adsorption ability of CO_(2)molecule and(ii)the weaker binding energy to form the COOH*intermediate on the surface of Ag-m-Triz compared with the Ag-powder catalyst,which boosts the conversion of CO_(2)to *** research provides a facile way to regulate electrocatalysts for efficient CO_(2)reduction by introducing functionalized molecules.

关键词： CO_(2)reduction CO Electrochemical Molecule-regulated Silver Ionic liquid

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Strain concentration factor of heterogeneous materials and analytical influence functions based on Eshelby tensor

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Theoretical & Applied Mechanics Letters 2024年第4期14卷 306-313页

作者： Shanqiao Huang Zifeng Yuan HEDPS Center for Applied Physics and TechnologyDepartment of Mechanics and Engineering SciencePeking UniversityBeijing 100871China State Key Laboratory for Turbulence and Complex Systems Peking UniversityBeijing 100871China

In this manuscript,Eshelby tensor is employed to assess the strain concentration that arises in the matrix phase at the interface,offering precise values and locations of maximum strain under specific loading conditions for both spherical and cylindrical *** compared to numerical simulation results,the analytical predictions grounded in the Eshelby tensor exhibit satisfactory *** an analytical calculation method based on Eshelby tensor for the elastic strain influence functions of reduced-order homogenization(ROH)method is developed and adopted on particle-reinforced and fibrous composites,presenting its feasibility and advantage on off-line stage calculation of ROH *** error analyses between analytical and numerical results are *** numerical results also exhibit the necessity of finer interface partitioning to obtain the response on micro-scale with higher resolution.

关键词： Eshelby tensor Strain concentration Composite structures Reduced-order-homogenization Influence functions

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In situ X-ray imaging and numerical modeling of damage accumulation in C/SiC composites at temperatures up to 1200℃

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Journal of Materials Science & technology 2024年第30期197卷 65-77页

作者： Weijian Qian Wanen Zhang Shengchuan Wu Yue Hu Xiangyu Zhang Qiaodan Hu Shaoming Dong Shantung Tu State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong UniversityChengdu 610031China State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Pressure Systems and Safety Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Carbon fiber reinforced silicon carbide matrix composites(C/SiC)have emerged as key materials for ther-mal protection systems owing to their high strength-to-weight ratio,high-temperature durability,resis-tance to oxidation,and outstanding ***,manufacturing defects deteriorate the mechani-cal response of these composites under extreme thermal-force coupling conditions,prompting significant research *** study demonstrates a customized in situ loading device compatible with syn-chrotron radiation facilities,enabling high spatial and temporal resolution recording of internal material damage evolution and failure behavior under thermal-force coupling *** thermal radia-tion units in a confocal configuration were used to create ultra-high-temperature environments,offering advantages of compactness,rapid heating,and *** situ tensile tests were conducted on C/SiC samples in a nitrogen atmosphere at both room temperature and 1200℃.The high-resolution image data demonstrate various failure phenomena,such as matrix cracking and pore ***-based fi-nite element simulations indicate that the temperature-dependent variation of the failure mechanism is attributable to thermal residual stresses and defect-induced stress *** work seamlessly integrates extreme mechanical testing methods with in situ observation techniques,providing a compre-hensive solution for accurately quantifying crack initiation,pore connection,and failure behavior of C/SiC composites.

关键词： Ceramic matrix composites Extreme environments X-ray computed tomography Internal damage evolution Image-based finite element method

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Adaptive Robust Control Integrated With Gaussian Processes for Quadrotors: Enhanced Accuracy, Fault Tolerance and Anti-Disturbance

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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年第5期55卷 3235-3248页

作者： Liang, Weisheng Amer, Abdelhakim Mehndiratta, Mohit Chen, Zheng Yao, Bin Kayacan, Erdal Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310027 China Aarhus University Artificial Intelligence in Robotics Laboratory Department of Electrical and Computer Engineering Aarhus8000 Denmark GIM Robotics Espoo02650 Finland Zhejiang University Ocean College Ocean Research Center of Zhoushan Zhoushan316021 China Purdue University School of Mechanical Engineering West Lafayette47907 United States Department of Electrical Engineering and Information Technology Paderborn33098 Germany

With increasingly challenging applications for quadrotors, higher requirements are emerging for tracking accuracy and safety. While high accuracy is a prerequisite for complex tasks, safety is ensured through tolerance to actuator faults and resistance to external disturbances. In this article, adaptive robust control (ARC) integrated with Gaussian processes (GPs), i.e., ARC-GP, is proposed to achieve enhanced accuracy, fault tolerance, and anti-disturbance. These three requirements are interrelated and affected by uncertainties. The primary idea of this article is to categorize uncertainties into parametric and nonparametric types, which are then addressed through parameter adaptation and GP, respectively. First, a detailed dynamic model is established, including actuator models that reflect different types of faults corresponding to changes in different physical parameters. Then, parameter adaptation is designed, with direct and indirect methods adopted for different parameters. In particular, the actuator parameters are effectively estimated to achieve targeted fault compensation. Regarding GP for nonparametric uncertainties, its model parameters are also updated via parameter adaptation. The GP thereby also learns parameter estimation errors along with external disturbances. Accordingly, ARC controllers are designed, for which robust feedback terms are constructed to further mitigate uncertainties on the basis of the covariances predicted by GP. The experiments demonstrate that the proposed ARC-GP can actively tolerate various types of actuator faults and better resist wind disturbances. © 2013 IEEE.

关键词： Robust control

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A survey for light field super-resolution

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High-Confidence Computing 2024年第1期4卷 118-129页

作者： Mingyuan Zhao Hao Sheng Da Yang Sizhe Wang Ruixuan Cong Zhenglong Cui Rongshan Chen Tun Wang Shuai Wang Yang Huang Jiahao Shen State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Key Laboratory of Data Science and Intelligent Computing International Innovation InstituteBeihang UniversityHangzhou 311115China State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Compared to 2D imaging data,the 4D light field(LF)data retains richer scene’s structure information,which can significantly improve the computer’s perception capability,including depth estimation,semantic segmentation,and LF ***,there is a contradiction between spatial and angular resolution during the LF image acquisition *** overcome the above problem,researchers have gradually focused on the light field super-resolution(LFSR).In the traditional solutions,researchers achieved the LFSR based on various optimization frameworks,such as Bayesian and Gaussian *** learning-based methods are more popular than conventional methods because they have better performance and more robust generalization *** this paper,the present approach can mainly divided into conventional methods and deep learning-based *** discuss these two branches in light field spatial super-resolution(LFSSR),light field angular super-resolution(LFASR),and light field spatial and angular super-resolution(LFSASR),***,this paper also introduces the primary public datasets and analyzes the performance of the prevalent approaches on these ***,we discuss the potential innovations of the LFSR to propose the progress of our research field.

关键词： Light field super-resolution Convolutional neural network Transformer Sub-aperture image Epipolar-plane image

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From animal collective behaviors to swarm robotic cooperation

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National Science Review 2023年第5期10卷 82-99页

作者： Haibin Duan Mengzhen Huo Yanming Fan State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang University Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng Laboratory AVIC Shenyang Aircraft Design and Research Institute

The collective behaviors of animals,from schooling fish to packing wolves and flocking birds,display plenty of fascinating phenomena that result from simple interaction rules among *** emergent intelligent properties of the animal collective behaviors,such as self-organization,robustness,adaptability and expansibility,have inspired the design of autonomous unmanned swarm *** article reviews several typical natural collective behaviors,introduces the origin and connotation of swarm intelligence,and gives the application case of animal collective *** this basis,the article focuses on the forefront of progress and bionic achievements of aerial,ground and marine robotics swarms,illustrating the mapping relationship from biological cooperative mechanisms to cooperative unmanned cluster ***,considering the significance of the coexisting-cooperative-cognitive human-machine system,the key technologies to be solved are given as the reference directions for the subsequent exploration.

关键词： collective behaviors swarm intelligence cooperative robotics swarm human-machine system

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