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Hyperspectral Image Classification Based on A Multi-Scale Weighted Kernel Network

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Chinese Journal of Electronics 2022年第5期31卷 832-843页

作者： SUN le XU Bin LU Zhenyu School of Computer Science Nanjing University of Information Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Nanjing University of Information Science and Technology School of Artificial Intelligence Nanjing University of Information Science and Technology

Recently, many deep learning models have shown excellent performance in hyperspectral image(HSI) classification. Among them, networks with multiple convolution kernels of different sizes have been proved to achieve richer receptive fields and extract more representative features than those with a single convolution kernel. However, in most networks, different-sized convolution kernels are usually used directly on multibranch structures, and the image features extracted from them are fused directly and simply. In this paper, to fully and adaptively explore the multiscale information in both spectral and spatial domains of HSI, a novel multi-scale weighted kernel network(MSWKNet) based on an adaptive receptive field is proposed. First, the original HSI cubic patches are transformed to the input features by combining the principal component analysis and one-dimensional spectral convolution. Then, a three-branch network with different convolution kernels is designed to convolve the input features, and adaptively adjust the size of the receptive field through the attention mechanism of each branch. Finally, the features extracted from each branch are fused together for the task of *** on three well-known hyperspectral data sets show that MSWKNet outperforms many deep learning networks in HSI classification.

关键词： multibranch structures image features convolution kernels multiple convolution kernels adaptive receptive field image classification feature extraction HSI classification single convolution kernel convolutional neural nets hyperspectral image classification representative features hyperspectral imaging geophysical image processing deep learning (artificial intelligence) multiscale weighted kernel network deep learning networks hyperspectral data sets three-branch network HSI cubic patches principal component analysis 1D spectral convolution different-sized convolution kernels

Finite element analysis of functionally graded sandwich plates with porosity via a new hyperbolic shear deformation theory

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Defence Technology（防务技术） 2022年第3期18卷 490-508页

作者： Pham Van Vinh le Quang Huy Department of Solid Mechanics Le Quy Don Technical University236 Hoang Quoc VietHanoiViet Nam Institute of Techniques for Special Engineering Le Quy Don Technical University236 Hoang Quoc VietHanoiViet Nam

This study focusses on establishing the finite element model based on a new hyperbolic sheareformation theory to investigate the static bending,free vibration,and buckling of the functionally graded sandwich plates with *** novel sandwich plate consists of one homogenous ceramic core and two different functionally graded face sheets which can be widely applied in many fields of engineering and defence *** discrete governing equations of motion are carried out via Hamilton’s principle and finite element *** computation program is coded in MATLAB software and used to study the mechanical behavior of the functionally graded sandwich plate with *** present finite element algorithm can be employed to study the plates with arbitrary shape and boundary *** obtained results are compared with available results in the literature to confirm the reliability of the present ***,a comprehensive investigation of the effects of several parameters on the bending,free vibration,and buckling response of functionally graded sandwich plates is *** numerical results shows that the distribution of porosity plays significant role on the mechanical behavior of the functionally graded sandwich plates。

关键词： Functionally graded sandwich plates Porous plates Hyperbolic shear deformation theory Bending analysis Free vibration analysis Buckling analysis

Non-equilibrium turbulent phenomena in transitional flat plate boundary-layer flows

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Applied Mathematics and Mechanics(English Edition) 2021年第4期42卷 567-582页

作者： Feng LIU le FANG Jian FANG School of Energy and Power Engineering North University of ChinaTaiyuan 030051China Laboratory of Mathematics and Physics Ecole Centrale de P′ekinBeihang UniversityBeijing 100191China Scientific Computing Department STFC Daresbury LaboratoryWarrington WA44ADU.K.

Many recent laboratory experiments and numerical simulations support a non-equilibrium dissipation scaling in decaying turbulence before it reaches an equilibrium *** analyzing a direct numerical simulation(DNS)database of a transitional boundary-layer flow,we show that the transition region and the non-equilibrium turbulence region,which are located in different streamwise zones,present different non-equilibrium ***,in the wall-normal direction,the viscous sublayer,log layer,and outer layer show different non-equilibrium phenomena which differ from those in grid-generated turbulence and transitional channel *** findings are expected to shed light on the modelling of various types of non-equilibrium turbulent flows.

关键词： non-equilibrium turbulence flat plate boundary layer turbulence model

Adaptive fault-tolerant control for non-minimum phase hypersonic vehicles based on adaptive dynamic programming

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Chinese Journal of Aeronautics 2024年第3期37卷 290-311页

作者： le WANG Ruiyun QI Bin JIANG State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

In this paper,a novel adaptive Fault-Tolerant Control(FTC)strategy is proposed for non-minimum phase Hypersonic Vehicles(HSVs)that are affected by actuator faults and parameter *** strategy is based on the output redefinition method and Adaptive Dynamic Programming(ADP).The intelligent FTC scheme consists of two main parts:a basic fault-tolerant and stable controller and an ADP-based supplementary *** the basic FTC part,an output redefinition approach is designed to make zero-dynamics stable with respect to the new ***,Ideal Internal Dynamic(IID)is obtained using an optimal bounded inversion approach,and a tracking controller is designed for the new output to realize output tracking of the nonminimum phase HSV *** the ADP-based compensation control part,an ActionDependent Heuristic Dynamic Programming(ADHDP)adopting an actor-critic learning structure is utilized to further optimize the tracking performance of the HSV control ***,simulation results are provided to verify the effectiveness and efficiency of the proposed FTC algorithm.

关键词： Hypersonic vehicle Fault-tolerant control Non-minimum phase system Adaptive control Nonlinear control Adaptive dynamic programming

leptin in immuno-rheumatological diseases

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Cellular & Molecular Immunology 2011年第3期8卷 203-212页

作者： Marta Vadacca Domenico pe Margiotta Luca Navarini Antonella Afeltra Department of Rheumatology and Clinical Medicine University Campus Bio-MedicoRomeItaly

leptin is one of the most important hormones secreted by adipocytes,with a variety of physiological roles related to the control of metabolism and energy *** its discovery in 1994,leptin has attracted increasing interest in the scientific community for its pleiotropic *** of these functions is the relationship between nutritional status and immune *** structurally resembles proinflammatory cytokines,such as IL-6 and *** cytokine-like structural characteristic of leptin is implicative of its function in regulating immune *** role of leptin in regulating immune responses has been assessed in vitro as well as in clinical *** has been shown that disease conditions of reduced leptin production are associated with increased infection ***,immune-mediated disorders,such as autoimmune diseases,are associated with the increased secretion of leptin and the production of proinflammatory pathogenic *** this paper,we review the most recent advances of the role of leptin in immune-rheumatological diseases,and we discuss whether strategies aimed at modifying leptin levels could represent innovative and therapeutic tools for autoimmune disorders.

关键词： adipokines autoimmune diseases leptin rheumatic diseases

Enabling a stable and dendrite-suppressed Zn anode via facile surface roughness engineering

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Journal of Materials Science & Technology 2022年第7期102卷 272-277页

作者： Jinghao Li Kehan le Wei Wei State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China International School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China

The safety and cycle lifespan of zinc metal-based aqueous batteries are greatly restricted by zinc *** poor cycling performance of zinc metal anode is often considered to be impacted by the dendrite growth,surface passivation,zinc metal corrosion and hydrogen evolution reaction,while surface roughness is a matter that has often been ignored in past ***,a roughness gradient is constructed on the zinc anode surface by a simple grinding and pasting *** has been found the modified zinc anodes with lower surface roughness exhibit the smaller zinc deposition overpotential and longer cycle ***,in situ optical microscopy photographs indicate that the zinc anode with an optimized roughness enables more uniform distribution of zinc precipitation and corrosion sites,which will facilitate a stable cycling performance of aqueous zinc ion *** Zn anode dendrite-suppressing mechanism via surface roughness engineering was revealed through finite element computational *** results emphasize the effectiveness of roughness engineering for tuning the surface physics of Zn anode and provide a facile strategy to develop better and safer aqueous zinc ion batteries.

关键词： Surface roughness Zn metal anode Surface engineering Aqueous zinc-ion batteries

Adaptive Asymptotic Tracking Control for Stochastic Nonlinear Systems with Unknown Backlash-Like Hysteresis

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Journal of Systems Science & Complexity 2022年第5期35卷 1824-1838页

作者： WANG le SUN Wei WU Yuqiang School of Mathematics Science Liaocheng UniversityLiaocheng 252000China School of Engineering Qufu Normal UniversityRizhao 276826China

In this study,an adaptive asymptotic tracking control problem is considered for stochastic nonlinear systems with unknown backlash-like *** utilizing backstepping technology and bound estimation approach,an adaptive asymptotic tracking control scheme is designed,where fuzzy systems are applied to approximate unknown function terms,the effect of hysteresis and stochastic disturbances is compensated *** proposed scheme ensures that the tracking error can asymptotically converge to zero in probability and all signals of the closed-loop system are bounded almost ***,the effectiveness of the control scheme is verified by giving a simulation example.

关键词： Adaptive fuzzy control asymptotic tracking stochastic nonlinear systems unknown backlash-like hysteresis

Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

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IEEE/CAA Journal of Automatica Sinica 2021年第8期8卷 1465-1476页

作者： Donglei Zheng le Zhou Zhihuan Song State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Automation and Electrical Engineering Zhejiang University of Science&TechnologyHangzhou 310023China

In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different sources are collected at different sampling *** build a complete process monitoring strategy,all these multi-rate measurements should be considered for data-based modeling and *** this paper,a novel kernel multi-rate probabilistic principal component analysis(K-MPPCA)model is proposed to extract the nonlinear correlations among different sampling *** the proposed model,the model parameters are calibrated using the kernel trick and the expectation-maximum(EM)***,the corresponding fault detection methods based on the nonlinear features are ***,a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method.

关键词： Fault detection kernel method multi-rate process probability principal component analysis(PPCA)

Integration Operators on Spaces of Dirichlet Series

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Acta Mathematica Sinica,English Series 2023年第10期39卷 1919-1938页

作者： Jia le CHEN Mao Fa WANG School of Mathematics and Statistics Shaanxi Normal UniversityXi’an 710119P.R.China School of Mathematics and Statistics Wuhan UniversityWuhan 430072P.R.China

We first study the Volterra operator V acting on spaces of Dirichlet *** prove that V is bounded on the Hardy space H_(0)^(p)for any 0 详细信息

We first study the Volterra operator V acting on spaces of Dirichlet *** prove that V is bounded on the Hardy space H_(0)^(p)for any 0percyclic on H_(0)^(p)for any 0pe integration operators T_(g).We prove that if T_(g)is bounded on the Hardy space H_(p),then it is bounded on the Bergman space H_(w)^(p).

关键词： Integration operator Dirichlet series Hardy space Bergman space

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