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arXiv 2023年

作者： Riethmüller, Cedric Storvik, Erlend Both, Jakub Wiktor Radu, Florin Adrian Institute of Applied Analysis and Numerical Simulation University of Stuttgart Germany Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Norway Center for Modeling of Coupled Subsurface Dynamics Department of Mathematics University of Bergen Norway

We investigate the well-posedness of the recently proposed Cahn-Hilliard-Biot model. The model is a three-way coupled PDE of elliptic-parabolic nature, with several nonlinearities and the fourth order term known to the Cahn-Hilliard system. We show existence of weak solutions to the variational form of the equations and uniqueness under certain conditions of the material parameters and secondary consolidation, adding regularizing effects. Existence is shown by discretizing in space and applying ODE-theory (the Peano-Cauchy theorem) to prove existence of the discrete system, followed by compactness arguments to retain solutions of the continuous system. In addition, the continuous dependence of solutions on the data is established, in particular implying uniqueness. Both results build strongly on the inherent gradient flow structure of the model. Copyright © 2023, The Authors. All rights reserved.

关键词： Variational techniques

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Securing the light escaping in a Li-Fi network environment

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Procedia computer Science 2022年 201卷 684-689页

作者： D.D. Diambeki R.E. Mandiya K. Kyamakya S.K. Kasereka University of Kinshasa Mathematics and Computer Science Department Kinshasa DR Congo Artificial intelligence Big data and modeLing simulation research center (ABIL) Kinshasa Democratic Republic of the Congo Alpen-Adria-Universitaet Klagenfurt Institute of Smart Systems Technologies Department of Mathematical Sciences Klagenfurt Austria

Nowadays, everyone knows Wi-Fi. The technology that ensures connection of computer equipment. It is now positioned as the easiest way to interconnect multiple end users because It allows user mobility in workspaces, avoids cable clutter within the network coverage, such as offices, homes and so on. Despite these advantages, several scientific studies have shown that this technology can raise security and safety issues and is dangerous to human health, and therefore not suitable for hospital networks. In an attempt to overcome these difficulties, Li-Fi technology based on visible light is beginning to interest researchers. This technology is considered more secure than Wi-Fi because the light can be contained in a physical space and waves can’t pass through walls and other objects. Unfortunately, when the physical environment contains spaces that can escape light to the outdoors, this can be a security risk for Li-Fi because it uses light sources to transmit data. That why, in this paper, the main differences between Wi-Fi and Li-Fi technologies are explained, and a Li-Fi architecture provided with an authentification captive portal and a data transfer security mechanism between end users based on the AES algorithm is proposed. The developed prototype and the architecture proposed guarantee the security of the Li-Fi network even if the physical environment is provided with multiple light escape spaces.

关键词： Li-Fi (Light-Fidelity) VLC (Visible Light Communication) LED (Light Emitting Diode) Photodetector LDR (Light Dependent Resistor) Arduino AES algorithm Captive portal

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Multi-task Paired Masking with Alignment modeling for Medical Vision-Language Pre-training

arXiv

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arXiv 2023年

作者： Zhang, Ke Yang, Yan Yu, Jun Jiang, Hanliang Fan, Jianping Huang, Qingming Han, Weidong The Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China Regional Medical Center for National Institute of Respiratory Diseases Sir Run Run Shaw Hospital College of Medicine Zhejiang University Hangzhou310016 China AI Lab at Lenovo Research 100094 China The School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China The Department of Medical Oncology at Sir Run Run Shaw Hospital College of Medicine Zhejiang University Hangzhou China The College of Mathematical Medicine Zhejiang Normal University Jinhua China

In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) methods have been proposed to learn universal representations from medical images and reports, benefiting downstream tasks without requiring fine-grained annotations. However, existing methods have overlooked the importance of cross-modal alignment in joint image-text reconstruction, resulting in insufficient cross-modal interaction. To address this limitation, we propose a unified Med-VLP framework based on Multi-task Paired Masking with Alignment (MPMA) to integrate the cross-modal alignment task into the joint image-text reconstruction framework to achieve more comprehensive cross-modal interaction, while a Global and Local Alignment (GLA) module is designed to assist self-supervised paradigm in obtaining semantic representations with rich domain knowledge. Furthermore, we introduce a Memory-Augmented Cross-Modal Fusion (MA-CMF) module to fully integrate visual information to assist report reconstruction and fuse the multi-modal representations adequately. Experimental results demonstrate that the proposed unified approach outperforms previous methods in all downstream tasks, including uni-modal, cross-modal, and multimodal tasks. Copyright © 2023, The Authors. All rights reserved.

关键词： Alignment

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Improvement of the Conjugate Heat Transfer in High Temperature Chamber Furnaces for Firing of Ceramic Ware

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Journal of Civil Engineering and Architecture 2019年第4期13卷 265-272页

作者： Kalin S. Krumov Nina Y. Penkova Center of Mathematical Modeling and Computer Simulation University of Chemical Technology and MetallurgySofia 1756Bulgaria

The firing of ceramic ware in chamber furnaces is a transient multiphysical process,including turbulence combustion and fluid flow in the gas space,convective and radiation heat transfer from the flue gases to the furnace walls and ceramic ware,surface to surface radiation between the solid surfaces and conduction heat transfer in combination with endothermic or exothermic processes in the ceramic *** and conceptions for numerical analysis of that conjugate heat transfer(CHT)in such thermal aggregates are *** are validated on the base of information,obtained by in situ measurements at a furnace for firing of technical ***-uniform thermal and fluid flow fields in the furnace space that cause problems in the surrounding walls and wastes at the ceramic ware are ascertained in *** impossibility to improve the furnace operation at the existing construction and combustion installation is established.A variant for reconstruction of the furnace is investigated *** includes changes of the number,power and topology of the burners and different arrangement of the ceramic ware in the furnace *** temperature fields and reduction of the specific fuel consumption at the suggested configuration of the thermal aggregate are established.

关键词： Ceramic firing CHT,furnace design topology optimization combustion computational fluid dynamics(CFD)

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A preliminary model for recycling facility location-allocation problem

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AIP Conference Proceedings 2024年第1期2895卷

作者： Zati Aqmar Zaharudin Adibah Shuib Rieske Hadianti Zahari Md Rodzi Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Seremban 73000 Seremban Negeri Sembilan Malaysia Malaysia Institute of Transport (MITRANS) Universiti Teknologi MARA (UiTM) 40450 Shah Alam Selangor Malaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA (UiTM) 40450 Shah Alam Selangor Malaysia Center for Mathematical Modeling and Simulation Institut Teknologi Bandung (ITB) Jl. Ganesa 10 Bandung 40132 Indonesia

Optimal location of a facility is important for public or private organizations. Spatial distribution of demand, reachability of demand to the nearest facility, and availability of service provided by the facility are some of the factors that must be considered in locating the facilities. Facility location model with covering problem is an approach that is capable of locating a facility at an optimal location while ensuring demand is served within a defined travel distance. The recycling facility is one of the services provided by the local authorities to encourage households to practice separation at source activity. Within the scope of study, we present a set covering model for solving the recycling facility location problem. The proposed model can determine the optimal location for a recycling facility as well as the ideal allocation of bins to satisfy facility capacity and demand. We evaluate the proposed model's performance using a data set generated at random. Results showed that the proposed model was effective in locating demand at the closest facility while allocating the optimal number of bins to guarantee service accessibility and availability.

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ABCSS: A novel approach for increasing the TCP congestion window in a network

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Procedia computer Science 2021年 191卷 437-444页

作者： N.M. Kasoro S.K. Kasereka G.K. Alpha K. Kyamakya University of Kinshasa Faculty of Sciences Mathematics and Computer Science Department Kinshasa Democratic Republic of the Congo Artificial intelligence Big data and modeLing simulation research center (ABIL) Kinshasa Democratic Republic of the Congo Université Libre des Pays des Grands Lacs Faculty of Sciences and Technologies Goma Democratic Republic of the Congo Alpen-Adria-Universitaet Klagenfurt Institute of Smart Systems Technologies Department of Mathematical Sciences Klagenfurt Austria

Congestion control is a useful task to be taken into account in order to maintain a good traffic in a network. In the case of a TCP/IP (Transmission Control Protocol/Internet Protocol) network, congestion creates queues in routers and even packet rejection. It is the reason why research have been conducted to improve congestion control mechanisms. Nowadays, several TCP congestion algorithms have been implemented. However, with the technology evolution and the need in terms of traffic capacity, various mechanisms implemented by these algorithms have shown their limitations and still need to be improved. The aim of this paper is to develop a novel TCP congestion control approach based on two famous algorithms: Appropriate Byte Counting (ABC) and Slow Start (SS). The results obtained show that ABC increases the congestion window appropriately compared to Slow Start. However, the congestion window remains invariant during the first round trips, which causes the TCP burst phenomenon. The TCP splitting can cause buffer overflows and long queues. For theses shortcomings, we propose ABCSS as a novel approach that appropriately increase the TCP congestion window and minimize the TCP splitting problem. The simulations of ABCSS algorithm provide interesting results compared to some known algorithms.

关键词： Congestion TCP ABC Slow Start Congestion window Congestion control ABCSS

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Hybrid nanofluid flow towards an elastic surface with tantalum and nickel nanoparticles, under the influence of an induced magnetic field

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The European Physical Journal Special Topics 2021年第3期231卷 521-533页

作者： Zhang, Lijun Bhatti, M. M. Michaelides, Efstathios E. Marin, M. Ellahi, R. College of Mathematics and Systems Science Shandong University of Science and Technology Qingdao China International Institute for Symmetry Analysis and Mathematical Modelling Department of Mathematical Sciences North-West University Mmabatho South Africa Department of Engineering TCU Fort Worth USA Department of Mathematics and Computer Science Transilvania University of Brasov Brasov Romania Department of Mathematics and Statistics International Islamic University Islamabad Pakistan Fulbright Fellow Department of Mechanical Engineering University of California Riverside Riverside USA Center for Modeling and Computer Simulation Research Institute King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

The nanofluid, composed of kerosene and tantalum and nickel nanoparticles, is propagating through a porous, elastic surface. The kerosene base fluid is incompressible and electrically conducting. The energy equation for this nanofluid is formulated taking into account the viscous dissipation. The mathematical modeling is performed with the help of a similarity transformation. The developed governing equations are numerically solved using the shooting technique and the Matlab software. The physical behavior of different parameters in the model is discussed through tabular and graphical forms. The present results are also compared to past results. The results indicate that the flow propagates faster for higher values of Darcy number and Tantalum nanoparticles and that the magnetic field opposes the fluid motion. Also that the thermal boundary layer decreases in the presence of Tantalum and Nickel nanoparticles.

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DeePMD-kit v2: A software package for Deep Potential models

arXiv

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arXiv 2023年

作者： Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, Deep Potential - Range Correction (DPRc), Deep Potential Long Range (DPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMD), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-ND.

关键词： Molecular dynamics

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Buoyant Marangoni convection of nanofluids in square cavity

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Applied Mathematics and Mechanics(English Edition) 2015年第9期36卷 1169-1184页

作者： H.SALEH I.HASHIM School of Mathematical Sciences Universiti Kebangsaan Malaysia Solar Energy Research Institute Universiti Kebangsaan Malaysia Research Institute Center for Modeling & Computer Simulation(RI/CM&CS)King Fahd University of Petroleum & Minerals

The buoyant Marangoni convection heat transfer in a differentially heated cavity is numerically studied. The cavity is filled with water-Ag, water-Cu, water-Al2O3, and water-TiO2 nanofiuids. The governing equations are based on the equations involving the stream function, vorticity, and temperature. The dimensionless forms of the governing equations are solved by the finite difference （FD） scheme consisting of the alternating direction implicit （ADI） method and the tri-diagonal matrix algorithm （TDMA）. It is found that the increase in the nanoparticle concentration leads to the decrease in the flow rates in the secondary cells when the convective thermocapillary and the buoyancy force have similar strength. A critical Marangoni number exists, below which increasing the Marangoni number decreases the average Nusselt number, and above which increasing the Marangoni number increases the average Nusselt number. The nanoparticles play a crucial role in the critical Marangoni number.

关键词： finite difference method Marangoni convection nanofluid

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Erratum to: A novel revenue optimization model to address the operation and maintenance cost of a data center

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Journal of Cloud Computing 2016年第1期5卷 1-1页

作者： Snehanshu Saha Jyotirmoy Sarkar Avantika Dwivedi Nandita Dwivedi Anand M. Narasimhamurthy Ranjan Roy Shrisha Rao Center for Applied Mathematical Modeling and Simulation (CAMMS) & Department of Computer Science and Engineering PESIT-BSC Bangalore India GE Healthcare Bangalore India BITS Pilani Hyderabad India State Resource Centre Chattisgarh India IIIT Bangalore Bangalore India

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