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arXiv 2023年

作者： Zhang, Lei Liu, Bin School of Mathematics and Statistics Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Hubei Wuhan430074 China

This paper considers a stochastically perturbed Keller-Segel-Navier-Stokes (KS-SNS) system arising from the biomathematics in two dimensions, where the diffusion of fluid is expressed by a fractional Laplacian with an exponent in [1/2, 1]. Our main result demonstrates that, under appropriate assumptions, the Cauchy problem of the KS-SNS system has a unique global probabilistically strong and analytically weak solution, which also confirms that the quadratic logistic source authentically contributes to the global existence of solutions. First, a three-layer approximate system is introduced, this system seems to be new in the studying of chemotaxis-fluid model and it enables one to construct approximate solutions in regular Hilbert spaces Hs(R2). Second, to accomplish the convergence progressively, a series of crucial entropy-energy inequalities for the approximations are derived, whose derivation strongly depends on the fine structure of the system and requires a novel strategy to adapt to the appearance of fractional dissipation and the unboundedness of domain. Third, based on these uniform bounds, we establish the existence of global martingale weak solutions by virtue of a stochastic compactness method. Finally, by applying the Littlewood-Paley theory, we show that the pathwise uniqueness holds for these martingale solution. As a by-product, a few interpolation inequalities in Besov spaces are obtained, which seems to be new and may have their own interest. Copyright © 2023, The Authors. All rights reserved.

关键词： Stochastic systems

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On-machine laser polishing of diamond turned metal surfaces

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CIRP Annals 2025年

作者： Zhang, XinQuan Wu, JinChi Zhong, WenBin Zeng, WenHan Zhang, Zhe Ren, MingJun State Key Laboratory of Mechanical System and Vibration School of Machanical Engineering Shanghai China EPSRC Future Metrology Hub Centre for Precision Technologies School of Computing and Engineering University of Huddersfield Huddersfield United Kingdom

An on-machine laser polishing system is developed to suppress the periodic turning marks on diamond turned metal surface. By integrating laser polishing on an ultra-precision machine tool, this method enables high-efficiency non-contact polishing without taking off workpiece from the lathe. Molecular dynamics simulation and experimental validation prove the process’ capability to reduce surface roughness through atomic level material flow from peak to valley. Surface quality has been improved through effective suppression of the diffraction and rainbow effects after laser polishing, demonstrating a high-efficiency, low-cost and clean solution for high-end optical component manufacturing. © 2025 CIRP

关键词： Laser heating

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Disentangling Ensemble Models on Adversarial Generalization in Image Classification

Disentangling Ensemble Models on Adversarial Generalization ...

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International Conference on Electronic engineering and Informatics (EEI)

作者： Chenwei Li Mengyuan Pan Bo Yang Hengwei Zhang State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Key Laboratory of Information Security Zhengzhou China Guizhou University School of Chemistry and Chemical Engineering Guiyang China

Convolutional neural networks are widely used in computer vision and image processing. However, when the original input is added with manually imperceptible perturbations, these deep network models mostly tend to output incorrect predictions. The vulnerability of these models poses great threat to intelligent applications, and these manually imperceptible perturbations are called adversarial examples. Current baseline methods have achieved considerable white-box attack success rate, but black-box rate remains to be improved. To boost the adversarial generalization, ensemble models method is introduced to the process of generating adversarial examples. This paper proposes multiple ensemble strategies with baseline attack methods based on existing ensemble strategy used by former methods. Experiment on ImageNet dataset empirically verifies the optimal ensemble strategy on boosting adversarial generalization.

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Incomplete crossing and semi-topological horseshoes

arXiv

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arXiv 2025年

作者： Cheng, Junfeng Yang, Xiao-Song School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China

This paper enriches the topological horseshoe theory using finite subshift theory in symbolic dynamical systems, and develops an elementary framework addressing incomplete crossing and semi-horseshoes. Two illustrative examples are provided: one from the perturbed Duffing system and another from a polynomial system proposed by Chen, demonstrating the prevalence of semi-horseshoes in chaotic systems. Moreover, the semi-topological horseshoe theory enhances the detection of chaos and improves the accuracy of topological entropy estimation. Copyright © 2025, The Authors. All rights reserved.

关键词： Topology

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Thermoelastic Analysis in Imperfect Rotating Functionally Graded Disks with Control Volume Finite Element Method 10th

Thermoelastic Analysis in Imperfect Rotating Functionally Gr...

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10th Chinese Society of Aeronautics and Astronautics Youth Forum, 2022

作者： Liu, Qi Du, Yanxia Qi, Wenliang Liu, Lei Gui, Yewei State Key Laboratory of Aerodynamics Aerodynamics Research and Development Center Mianyang621000 China Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an710068 China School of Mechanical Engineering Northwestern Polytechnical University Xi’an710072 China

ISBN: (纸本)9789811976513

A control volume finite element approach (CV-FEM) for the thermoelastic issue in functionally graded material (FG) spinning disks have been developed in this work. Because of a technological constraint during the FGM production, the FG disks have porosities. Two main forms of porosity distribution (uniform and ununiform porosity distributions) along the radial axis of the rotating disk are considered. Due to the FG is often served in extreme temperature environment, the temperature-dependency material properties are considered in this study. The modified mixed model is used to determine the FG disk material properties involving the existence of porosity and temperature-dependency property effects. The effects of material distribution, mechanical and temperature loads, such as boundary temperature, FG gradient index, porosities distribution, and rotating angular velocity on the thermoelastic performance have been analyzed. © 2023, Chinese Aeronautical Society.

关键词： Functionally graded materials

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An Edge Detection Model Based on W-Transform Single Pixel Imaging 2

An Edge Detection Model Based on W-Transform Single Pixel Im...

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2nd International Conference on Optical Imaging and Measurement, ICOIM 2023

作者： Chen, Guangyao Xu, Yuanping Kong, Chao Xu, Zhijie Cao, Yanlong Wang, Kaiwei Zhang, Chaolong Chengdu University of Information Technology School of Software Engineering Chengdu China University of Huddersfield School of Computing and Engineering Huddersfield United Kingdom Zhejiang University College of Mechanical Engineering Hangzhou China Zhejiang University The State Key Laboratory of Modern Optical Instrumentation National Engineering Research Center of Optical Instrumentation Hangzhou China

ISBN: (纸本)9798350358636

To efficiently reduce the required measurement count for single-pixel imaging edge detection, this study devises an edge detection model based on W-transform single-pixel imaging. In this model, the convolution of the DoG (Difference of Gaussians) operator and W-transform basis patterns as modulation patterns are employed to directly extract edge information from the spectral domain of the target object. Different from traditional methods, it achieves the extraction of edge details from an object without imaging. Numerical simulations and experimental results demonstrate that this model extracts edges with higher signal-to-noise ratios compared to the edge extraction using phase-shifted sinusoidal patterns. Additionally, the proposed model reduces the number of modulation patterns required by half, so as to gain double efficiency. The integration of W-transform single-pixel imaging with edge detection offers a novel approach for edge detections without the need for imaging. © 2023 IEEE.

关键词： Edge detection

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ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu Chen Huaqiang Chen Zhikai Pan Sheng Xu Guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong Gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid ***,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask ***,we propose the DualLoss function,tailored to the thyroid nodule localization and classification *** balances the learning of the localization and classification tasks to help improve the model’s generalization ***,we introduce strategies for augmenting the ***,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid ***:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and *** results show that ThyroidNet outperformed these methods in localizing and classifying thyroid *** achieved improved accuracy of 3.9%and 1.5%,***:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis *** research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis

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Algorithms to Calculate the Most Reliable Maximum Flow in Content Delivery Network

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Computer Systems Science & engineering 2022年第5期41卷 699-715页

作者： Baili Zhang Keke Ling Pei Zhang Zhao Zhang Mingjun Zhong School of Computer Science and Engineering Southeast UniversityNanjing211189China State Key Laboratory of Smart Grid Protection and Control Nanjing211106China Nari Group Corporation Nanjing211106China Department of Computing Science University of AberdeenAberdeenAB243UEUK

Calculating the most reliable maximum flow(MRMF)from the edge cache node to the requesting node can provide an important reference for selecting the best edge cache node in a content delivery network(CDN).However,SDBA,as the current state-of-the-art MRMF algorithm,is too complex to meet real-time computing *** paper proposes a set of MRMF algorithms:NWCD(Negative Weight Community Deletion),SCPDAT(Single-Cycle Preference Deletion Approximation algorithm with Time constraint)and SCPDAP(Single-Cycle Preference Deletion Approximation algorithm with Probability constraint).NWCD draws on the“flow-shifting”algorithm of minimum cost and maximum flow,and further defines the concept of negative weight *** algorithm continuously deletes the negative weight communities,which can increase reliability while keeping the flow constant in the residual *** is proven that when all negative weight communities are deleted,the corresponding maximum flow is the *** tries to approach the optimal solution to the greatest extent possible within the limited time,while SCPDAP tries to reach the probability threshold in the shortest amount of *** of these adopt the strategy of first deleting single-cycle communities(which contribute more to the reliability with lower time cost).Experiments show that,compared with SDBA,NWCD combined with the probabilistic pruning achieves an order of magnitude improvement in time cost,while SCPDAT and SCPDAP demonstrate better time performance and increased applicability.

关键词： Content delivery network uncertain graph maximum flow flow reliability

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Research of Wedge-Shaped Bow to Ship Side Collision Based on Quasi-static and Dynamic Experiments

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Journal of Offshore Mechanics and Arctic engineering 2025年第5期147卷 051701页

作者： Qiu, Xiaoming Zhao, Yanjie Wang, Deyu State Key Laboratory of Ocean Engineering Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai 200240 China National Key Laboratory of Ship Structural Safety China Ship Scientific Research Center Wuxi Jiangsu 214125 China

A wedge-shaped bow above the waterline of a small size striking ship will cause serious damage to the side of a large size struck ship. Therefore, a penetrating indenter with the shape of a small ship bow top was applied in the quasi-static penetration and collision experiments to study the side collision of the two different size ships. The side structure of the large size struck ship was also simplified as a typical frame structure consists of a girder, stiffeners, and an outer plate. Material stress–strain properties were derived from tensile testing. Quasi-static experiments employed a hydraulic penetrating system, while dynamic impacts utilized a drop-weight machine to generate displacement–force curves. The experimental results were compared with the numerical simulation ones. The structural deformation process and force curves of different impact positions and velocities were also compared. Traditional empirical formulae were evaluated against experimental and numerical datasets, revealing limitations in predictive accuracy. Therefore, a rapid estimation method was proposed, leveraging the arithmetic superposition of simplified structural analysis results. The applicability of this approach was systematically assessed by some comparison cases of different velocities and structures. This methodology offers a practical engineering tool in scenarios involving moderate velocities and un-complex structures.

关键词： Computer simulation Ships dynamics of structures Collisions (Physics) collision experiment structural mechanics and foundation Deformation Displacement Wedges Simulation reliability of offshore structures and pipelines force prediction different size ship collision Girders

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Sulfonate-Functionalized Polyoxovanadate-Based Metal-Organic Polyhedra for Enhanced Proton Conduction via the Synergy of Linker and Metal Cluster Vertex

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Chinese Journal of Structural Chemistry 2022年第8期41卷 12-17页

作者： Yu Zhang Shan-Shan Liu Bo Li Hanqi You Longxi Zhang Zhenyi Zhang Hong-Ying Zang Qi Zheng Weimin Xuan College of Chemistry Chemical Engineering and Biotechnology&State Key Laboratory for Modification of Chemical Fibers and Polymer MaterialsDonghua UniversityShanghai 201620China Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education at Universities of Jilin Province Faculty of ChemistryNortheast Normal UniversityChangchun 130024China Bruker(Beijing)Scientific Technology Co. Ltd 9FBuilding No.1Lane 2570Hechuan RdMinhang DistrictShanghai 200233China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Metal-organic polyhedra(MOPs)have emerged as novel porous platforms for proton conduction,however,the concerted employment of both linker and metal cluster vertex is rarely applied for the fabrication of MOPs-based high conducting *** we report the synthesis of sulfonate-functionalized polyoxovanadate-based MOPs for enhanced proton conduction via the synergistic effect from linker and metal cluster *** 1 and 2 exhibit octahedral cage configuration constructed from{V_(5)O_(9)Cl}vertex and 5-sulfoisophthalate *** to the ordered packing of octahedral cages along three axes,3D interpenetrated open channels that are lined with high-density sulfonates are thus formed within *** with the proton-conductive{V_(5)O_(9)Cl}vertexs as well as protonated counterions,an extensive H-bonded network is therefore generated for facile proton transfer.2 exhibits high proton conductivity of 3.02×10^(-2)S cm^(-1)at 65℃under 90%RH,recording the highest value for MOPs pellet *** value is enhanced~1order of magnitude compared with that of carboxylate-functionalized analogue 3,clearly illustrating the advantage of combining linker and metal cluster node for enhanced proton *** work will further promote the exploitation of high proton conductive MOPs-based materials by the synergy design strategy.

关键词： metal-organic polyhedra proton conduction polyoxovanadate synergistic effect

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