检索结果-内蒙古大学图书馆

Local Rate of Convergence in the Functional Limit Theorem for Increments of a Fractional Brownian Motion

数学进展 2025年第1期54卷 197-211页

作者： LIU Yonghong DING Ding ZHOU Xia School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and ComputationGuilin University of Electronic TechnologyGuilinGuangxi541004P.R.China Center for Applied Mathematics of Guangxi(GUET) GuilinGuangxi541002P.R.China

In this paper,we present local functional law of the iterated logarithm for Cs?rg?-Révész type increments of fractional Brownian *** results obtained extend works of Gantert[***.,1993,21(2):1045-1049]and Mon... 详细信息

关键词： fractional Brownian motion increment local functional law of the iterated logarithm large deviation small deviation

来源：评论

学校读者我要写书评

暂无评论

Diffuse-interface lattice Boltzmann modeling of charged particle transport in Poiseuille flow

引用

Physical Review E 2022年第1期106卷 015306-015306页

作者： Jiao Liu Zhenhua Chai Baochang Shi School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan 430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan 430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan 430074 China

In this paper, we developed a coupled diffuse-interface lattice Boltzmann method (DI-LBM) to study the transport of a charged particle in the Poiseuille flow, which is governed by the Navier-Stokes equations for fluid field and the Poisson-Boltzmann equation for electric potential field. We first validated the present DI-LBM through some classical benchmark problems, and then investigated the effect of electric field on the lateral migration of the particle in the Poiseuille flow. The numerical results show that the electric field has a significant influence on the particle migration. When an electric field in the vertical direction is applied to the charged particle initially located above the centerline of the channel, the equilibrium position of the particle would drop suddenly as the electric field is larger than a critical value. This is caused by the wall repulsion due to lubrication, the inertial lift related to shear slip, the lift owing to particle rotation, the lift due to the curvature of the undisturbed velocity profile, and the electric force. On the other hand, when an electric field in the horizontal direction is adopted, the equilibrium position of the particle would move toward the centerline of the channel with the increase of the electric field.

关键词： Electrokinetic flows Fluid-particle interactions

来源：评论

学校读者我要写书评

暂无评论

A ternary phase-field model for two-phase flows in complex geometries

arXiv

引用

arXiv 2023年

作者： Zhan, Chengjie Chai, Zhenhua Shi, Baochang School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science 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

In this work, a ternary phase-field model for two-phase flows in complex geometries is proposed. In this model, one of the three components in the classical ternary Cahn-Hilliard model is considered as the solid phase, and only one Cahn-Hilliard equation with degenerate mobility needs to be solved due to the condition of volume conservation, which is consistent with the standard phase-field model with a single-scalar variable for two-phase flows. To depict different wetting properties at the complex fluid-solid boundaries, the spreading parameters in ternary phase-field model are determined based on the Young's law, in which the liquid-solid surface tension coefficient is assumed to be a linear function of gas-liquid surface tension coefficient and related to the contact angle and the minimum curvature of the solid surface. In addition, to achieve a high viscosity in the solid phase and preserve the velocity boundary conditions on the solid surface, the phase-field variable of the solid phase is also used to derive the modified Navier-Stokes equations. To test the present model, we further develop a consistent and conservative Hermite-moment based lattice Boltzmann method where an adjustable scale factor is introduced to improve the numerical stability, and conduct the numerical simulations of several benchmark problems. The results illustrate that present model has the good capability in the study of the two-phase flows in complex geometries. © 2023, CC BY.

关键词： Two phase flow

来源：评论

学校读者我要写书评

暂无评论

Enhancing variational quantum classifier performance with meta-heuristic feature selection for credit card fraud detection

引用

The European Physical Journal Special Topics 2025年 1-14页

作者： Atban, Furkan Küçükkara, Muhammed Yusuf Bayılmış, Cüneyt Department of Computer Engineering Faculty of Technology Sakarya University of Applied Sciences Sakarya Turkey Department of Computer Engineering Institute of Natural Sciences Sakarya University Sakarya Turkey Center for Quantum Computer Science Faculty of Computing University of Latvia Riga Latvia Department of Computer Engineering Faculty of Computer and Information Sciences Sakarya University Sakarya Turkey

A transformative hybrid approach is proposed, combining Quantum Machine Learning (QML) with both traditional and meta-heuristic feature selection algorithms to overcome the complexities and limitations of conventional credit card fraud detection methods. In this study, advanced data balancing techniques such as SMOTE-ENN (Synthetic Minority Over-sampling Technique–Edited Nearest Neighbors) and Random Under Sampler (RUS) are employed on the imbalanced European Cardholder Dataset to address class imbalance and enhance model resilience. Core feature selection algorithms—both traditional methods like K-Best and meta-heuristic techniques including Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Atom Search Optimization (ASO)—are systematically evaluated, each paired with the Variational Quantum Classifier (VQC) for classification. Remarkably, the PSO+VQC combination achieves an accuracy rate of 94.54%, underscoring the efficacy of integrating meta-heuristic algorithms with VQC to manage complex, high-dimensional data in fraud detection. These findings highlight QML and meta-heuristic algorithms’ potential to surpass conventional methods, delivering superior accuracy and efficiency in critical, data-intensive applications such as financial fraud detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Consistent and conservative phase-field-based lattice Boltzmann method for incompressible two-phase flows

引用

Physical Review E 2022年第2期106卷 025319-025319页

作者： Chengjie Zhan Zhenhua Chai Baochang Shi School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan 430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan 430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan 430074 China

In this work, we consider a general consistent and conservative phase-field model for the incompressible two-phase flows. In this model, not only the Cahn-Hilliard or Allen-Cahn equation can be adopted, but also the mass and the momentum fluxes in the Navier-Stokes equations are reformulated such that the consistency of reduction, consistency of mass and momentum transport, and the consistency of mass conservation are satisfied. We further develop a lattice Boltzmann (LB) method, and show that through the direct Taylor expansion, the present LB method can correctly recover the consistent and conservative phase-field model. Additionally, if the divergence of the extra momentum flux is seen as a force term, the extra force in the present LB method would include another term which has not been considered in the previous LB methods. To quantitatively evaluate the incompressibility and the consistency of the mass conservation, two statistical variables are introduced in the study of the deformation of a square droplet, and the results show that the present LB method is more accurate. The layered Poiseuille flow and a droplet spreading on an ideal wall are further investigated, and the numerical results are in good agreement with the analytical solutions. Finally, the problems of the Rayleigh-Taylor instability, a single rising bubble, and the dam break with the high Reynolds numbers and/or large density ratios are studied, and it is found that the present consistent and conservative LB method is robust for such complex two-phase flows.

关键词： Contact line dynamics Multiphase flows Rayleigh-Taylor instability

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based cognitive digital twin system for wrist pulse diagnostic and classification 2nd

Deep learning-based cognitive digital twin system for wrist ...

引用

2nd International Conference on Next-Generation computing and Information Systems, ICNGCIS 2023

作者： Chaudhary, Jitendra Kumar Parimalam, T. Alghayadh, Faisal Yousef Keshta, Ismail Soni, Mukesh Degadwala, Sheshang School of Computing Graphic Era Hill University Bhimtal Campus Uttrakhand India Department of Computer Science Nandha Arts and Science College Tamilnadu Erode India Computer Science and Information Systems Department College of Applied Sciences AlMaarefa University Riyadh Saudi Arabia Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Tathawade Pune India Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

In analyzing and recognizing wrist pulse signals, it isn’t easy to mine the nonlinear information of wrist pulse signals using analysis methods such as time and frequency. Traditional machine learning methods require the manual definition of features and cannot perform self-learning of features. A cognitive digital twin technique for pulse analysis and recognition based on threshold-less recursive graph and CNN is proposed. The wrist pulse signal is converted into a threshold-free recursive graph based on the nonlinear dynamics’ theory. The VGG-16 CNN automatically extracts the nonlinear features of the recursive graph, and a pulse condition classification model is established. Experimental finding several that the classification of the proposed method accuracy can reach 98.14%, as compared with the existing pulse classification methods. This study offers a novel concept and strategy for classifying pulse signals, and it has application to the objectification of pulse diagnosis. © 2025 The Author(s).

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

Impact of Air Pollution on Solar Radiation in Megacity Jakarta 9

Impact of Air Pollution on Solar Radiation in Megacity Jakar...

引用

9th International Conference on Computer, Control, Informatics and Its Applications: Digital Transformation Towards Sustainable Society for Post Covid-19 Recovery, IC3INA 2022

作者： Syafarina, Inna Latifah, Arnida Lailatul Wahyuni, Intan Nuni Ismanto, Rido Dwi Indrawati, Ariani Rosyidi, Mohammad Iriana, Windy Kusumaningtyas, Sheila Dewi Ayu Imami, Ahmad Daudsyah Yulihastin, Erma Research Center for Computing National Research and Innovation Agency Bogor Indonesia Center for Environmental Study Bandung Institute of Technology Bandung Indonesia Center for Applied Climate Information Services Agency for Meteorology Climatology and Geophysics Jakarta Indonesia Department of Environmental Engineering Sumatra Institute of Technology Lampung Indonesia Research Center for Climate and Atmosphere National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9781450397919

Air pollution can intrude on the process of solar radiation reaching the earth's surface, disrupting the earth's heat balance. Global warming is one of its consequences. This study aims to analyze the impact of air pollution on solar radiation using Random Forest (RF) and Support Vector Regression (SVR) models. We use six pollutant types to predict the diffuse solar radiation, i.e., PM2.5, PM10, NO2, SO2, CO, and O3. Besides, near-surface temperature and sunshine duration are also expected to influence solar radiation or vice versa. The models are applied in two locations in Jakarta, Kemayoran and Jagakarsa, from January-August 2019. Based on the model performance, RF outperformed compared to the SVR model. RF model found that all variables, pollutants, temperature, and sunshine duration, impact the solar radiation in both locations. While the SVR model showed that the solar radiation in Kemayoran is affected by all variables, excluding O3. Meanwhile, PM2.5, PM10, NO2, temperature, and sunshine duration affect the solar radiation in Jagakarsa. Overall, PM2.5 is one of the top three most influential pollutants. © 2022 ACM.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation

arXiv

引用

arXiv 2024年

作者： Rao, Akash K. Bhavsar, Arnav Chowdhury, Shubhajit Roy Chandra, Sushil Negi, Ramsingh Duraisamy, Prakash Dutt, Varun Applied Cognitive Science Laboratory Indian Institute of Technology Mandi Himachal Pradesh India School of Computing and Electrical Engineering Indian Institute of Technology Mandi Himachal Pradesh India Institute of Nuclear Medicine and Allied Sciences Defence Research and Development Organization Delhi India University of Wisconsin-Green Bay United States

Virtual Reality (VR) has made significant strides, offering users a multitude of ways to interact with virtual environments. Each sensory modality in VR provides distinct inputs and interactions, enhancing the user's immersion and presence. However, the potential of additional sensory modalities, such as haptic feedback and 360° locomotion, to improve decision-making performance has not been thoroughly investigated. This study addresses this gap by evaluating the impact of a haptic feedback, 360° locomotion-integrated VR framework and longitudinal, heterogeneous training on decision-making performance in a complex search-and-shoot simulation. The study involved 32 participants from a defence simulation base in India, who were randomly divided into two groups: experimental (haptic feedback, 360° locomotion-integrated VR framework with longitudinal, heterogeneous training) and placebo control (longitudinal, heterogeneous VR training without extrasensory modalities). The experiment lasted 10 days. On Day 1, all subjects executed a search-and-shoot simulation closely replicating the elements/situations in the real world. From Day 2 to Day 9, the subjects underwent heterogeneous training, imparted by the design of various complexity levels in the simulation using changes in behavioral attributes/artificial intelligence of the enemies. On Day 10, they repeated the search-and-shoot simulation executed on Day 1. The results showed that the experimental group experienced a gradual increase in presence, immersion, and engagement compared to the placebo control group. However, there was no significant difference in decision-making performance between the two groups on day 10. We intend to use these findings to design multisensory VR training frameworks that enhance engagement levels and decision-making performance. © 2024, CC BY.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

High-rate generation and ultrafast real-time observation of optical non-Gaussian states encoded in sub-nanosecond wavepackets

High-rate generation and ultrafast real-time observation of ...

引用

Quantum 2.0, QUANTUM 2024 in Quantum 2.0 Conference and Exhibition

作者： Kawasaki, Akito Ide, Ryuhoh Brunel, Hector Suzuki, Takumi Nehra, Rajveer Nakashima, Katsuki Kashiwazaki, Takahiro Inoue, Asuka Umeki, Takeshi China, Fumihiro Yabuno, Masahiro Miki, Shigehito Terai, Hirotaka Yamashima, Taichi Sakaguchi, Atsushi Takase, Kan Endo, Mamoru Asavanant, Warit Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Physics Ecole Normale Supérieure 24 rue Lhomond Paris75005 France Department of Electrical and Computer Engineering University of Massachusetts-Amherst AmherstMA01003 United States Department of Physics University of Massachusetts-Amherst AmherstMA01003 United States NTT Device Technology Labs NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan Advanced ICR Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi Kobe651-2492 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan

We generate and observe optical non-Gaussian states defined in wavepackets of sub-nanosecond time width—O(103) faster than previous research—using waveguide optical parametric amplifier made of PPLN crystal, enablin... 详细信息

ISBN: (纸本)9781557525185

关键词： Parametric amplifiers

来源：评论

学校读者我要写书评

暂无评论

Surface profile recovery from electromagnetic field with physics–informed neural networks

arXiv

引用

arXiv 2024年

作者： Chen, Yuxuan Wang, Ce Hui, Yuan Spivack, Mark School of Mathematical Sciences Soochow University Suzhou China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong Institute of Intelligent Computing Technology Chinese Academy of Sciences in Suzhou Branch Suzhou China Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge United Kingdom

Physics–informed neural networks (PINN) have shown their potential in solving both direct and inverse problems of partial differential equations. In this paper, we introduce a PINN-based deep learning approach to reconstruct one-dimensional rough surfaces from field data illuminated by an electromagnetic incident wave. In the proposed algorithm, the rough surface is approximated by a neural network, with which the spatial derivatives of surface function can be obtained via automatic differentiation and then the scattered field can be calculated via the method of moments. The neural network is trained by minimizing the loss between the calculated and the observed field data. Furthermore, the proposed method is an unsupervised approach, independent of any surface data, rather only the field data is used. Both TE field (Dirichlet boundary condition) and TM field (Neumann boundary condition) are considered. Two types of field data are used here: full scattered field data and phaseless total field data. The performance of the method is verified by testing with Gaussian-correlated random rough surfaces. Numerical results demonstrate that the PINN-based method can recover rough surfaces with great accuracy and is robust with respect to a wide range of problem regimes. © 2024, CC BY.

关键词： Method of moments

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：