检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Wu, Ze-Hao Zhou, Hua-Cheng Deng, Feiqi Guo, Bao-Zhu School of Mathematics and Big Data Foshan University Foshan528000 China The School of Mathematics and Statistics Central South University Changsha410075 China Systems Engineering Institute South China University of Technology Guangzhou510640 China Key Laboratory of System and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

MSC Codes 35K05, 37L55, 93B52In this paper, a novel control strategy namely disturbance observer-based control is first applied to stabilization and disturbance rejection for an anti-stable stochastic heat equation with Neumann boundary actuation and unknown boundary external disturbance generated by an exogenous system. A disturbance observer-based boundary control is designed based on the backstepping approach and estimation/cancellation strategy, where the unknown disturbance is estimated in real time by a disturbance observer and rejected in the closed-loop, while the in-domain multiplicative noise whose intensity is within a known finite interval is attenuated. It is shown that the resulting closed-loop system is exponentially stable in the sense of both mean square and almost surely. A numerical example is demonstrated to validate the effectiveness of the proposed control approach. Copyright © 2021, The Authors. All rights reserved.

关键词： Disturbance rejection

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Asymmetric Sandwiched Nanofibrillated Cellulose Composites Prepared by One-Pot Vacuum Filtration for Ultrahigh Electromagnetic Interference Shielding

SSRN

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SSRN 2023年

作者： Qi, Wenjing Zeng, Lingjun Xue, Bai Wu, Changmei Mai, Xiaoping Xie, Lan Zheng, Qiang Department of Polymer Materials and Engineering College of Materials and Metallurgy Guizhou University Guiyang550025 China State Key Laboratory of Public Big Data Guizhou University Guiyang550025 China National Engineering Research Center for Compounding and Modification of Polymer Materials National and Local Joint Engineering Research Center for Functional Polymer Membrane Materials and Membrane Processes Guiyang550014 China Department of Polymer Science and Engineering Zhejiang University Hangzhou310027 China

High-efficiency electromagnetic interference (EMI) shielding composite films (EMI shielding effectiveness (SE) value > 100 dB) with a small thickness are imminently desired for eliminating the serious electromagnetic wave pollution. Herein, a series of asymmetric sandwiched silver-coated four-needle zinc oxide whisker/nanofibrillated cellulose/Ti3C2Tx (F-ZnO&Ag/NFC/Ti3C2Tx) composite films consisting of the loose F-ZnO&Ag sedimentary layer and compact upper Ti3C2Tx layer were successful fabricated by a facile one-pot vacuum filtration method in combination with gravity-induced delamination. Arising from the favorable electrical conductivity and unique asymmetric sandwich structure, electromagnetic waves can be trapped and dissipated in the F-ZnO&Ag skeletons and strongly multiply reflected between top Ti3C2Tx layer and bottom F-ZnO&Ag layers. Thereby, F-ZnO&Ag/NFC/Ti3C2Tx-30.4 exhibits the ultrahigh averaged EMI SET of 103.9 dB (the maximal value of 123.8 dB) at a low thickness of merely 209 μm, which is far superior to that of almost all the reported NFC composites at the similar thickness to date. In the real EMI shielding application test, F-ZnO&Ag/NFC/Ti3C2Tx composite films are confirmed to effectively block the transmission of controlled signal and switch off the toy car system. Such simple and high-efficiency asymmetric sandwich structure design makes a great progress towards preparing and adjusting thin EMI shielding composite films. © 2023, The Authors. All rights reserved.

关键词： Zinc oxide

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Digital earth:yesterday,today,and tomorrow

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International Journal of Digital Earth 2023年第1期16卷 1022-1072页

作者： Alessandro Annoni Stefano Nativi ArzuÇöltekin Cheryl Desha Eugene Eremchenko Caroline M.Gevaert Gregory Giuliani Min Chen Luis Perez-Mora Joseph Strobl Stephanie Tumampos International Society for Digital Earth BeijingPeople’s Republic of China National Research Council RomeItaly University of Applied Sciences and Arts Northwestern Switzerland FHNW School of EngineeringInstitute of Interactive Technologies IITBrugg-WindischSwitzerland Nathan Campus Griffith UniversityCities Research InstituteBrisbaneAustralia Lomonosov Moscow State University MoscowRussia Department of Earth Observation Science University of TwenteTwenteThe Netherland Institute for Environmental Sciences/enviroSPACE University of GenevaGenevaSwitzerland Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjingPeople’s Republic of China Cities Research Institute Nathan CampusGriffith UniversityBrisbaneAustralia Department of Geoinformatics University of SalzburgSalzburgAustria Chair of Remote Sensing Technology Technical University of MunichMunichGermany Big Geospatial Data Management Technical University of MunichMunichGermany

The concept of Digital Earth(DE)was formalized by Al Gore in *** that time the technologies needed for its implementation were in an embryonic stage and the concept was quite *** then digital technologies have progressed significantly and their speed and pervasiveness have generated and are still causing the digital transformation of our *** creates new opportunities and challenges for the realization of DE.‘What is DE today?’,‘What could DE be in the future?’,and‘What is needed to make DE a reality?’.To answer these questions it is necessary to examine DE considering all the technological,scientific,social,and economic aspects,but also bearing in mind the principles that inspired its *** understanding the lessons learned from the past,it becomes possible to identify the remaining scientific and technological challenges,and the actions needed to achieve the ultimate goal of a‘Digital Earth for all’.This article reviews the evolution of the DE vision and its multiple definitions,illustrates what has been achieved so far,explains the impact of digital transformation,illustrates the new vision,and concludes with possible future scenarios and recommended actions to facilitate full DE implementation.

关键词： Digital Earth digital transformation sustainable development data governance and ethic citizen empowerment and industry engagement

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Federated Unlearning with Gradient Descent and Conflict Mitigation

arXiv

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arXiv 2024年

作者： Pan, Zibin Wang, Zhichao Li, Chi Zheng, Kaiyan Wang, Boqi Tang, Xiaoying Zhao, Junhua The School of Science and Engineering The Chinese University of Hong Kong Shenzhen China The Cyberspace Academy Guangzhou University China The Shenzhen Institute of Artificial Intelligence and Robotics for Society China The Guangdong Provincial Key Laboratory of Future Networks of Intelligence China Department of Mathematics Department of Statistics University of Michigan United States Shenzhen Research Institute of Big Data China

Federated Learning (FL) has received much attention in recent years. However, although clients are not required to share their data in FL, the global model itself can implicitly remember clients’ local data. Therefore, it’s necessary to effectively remove the target client’s data from the FL global model to ease the risk of privacy leakage and implement "the right to be forgotten". Federated Unlearning (FU) has been considered a promising way to remove data without full retraining. But the model utility easily suffers significant reduction during unlearning due to the gradient conflicts. Furthermore, when conducting the post-training to recover the model utility, the model is prone to move back and revert what has already been unlearned. To address these issues, we propose Federated Unlearning with Orthogonal Steepest Descent (FedOSD). We first design an unlearning Cross-Entropy loss to overcome the convergence issue of the gradient ascent. A steepest descent direction for unlearning is then calculated in the condition of being non-conflicting with other clients’ gradients and closest to the target client’s gradient. This benefits to efficiently unlearn and mitigate the model utility reduction. After unlearning, we recover the model utility by maintaining the achievement of unlearning. Finally, extensive experiments in several FL scenarios verify that FedOSD outperforms the SOTA FU algorithms in terms of unlearning and model utility. © 2024, CC BY.

关键词： Federated learning

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Secure-ISAC: Secure V2X Communication: An Integrated Sensing and Communication Perspective

arXiv

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arXiv 2023年

作者： Yu, Kan Feng, Zhiyong Li, Dong Yu, Jiguo School of Computer Science and Engineering Macau University of Science and Technology Taipa999078 China Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China Big Data Institute Qilu Univeristy of Technology Shandong Jinan252353 China

In Vehicle-to-Everything (V2X) systems, reliable and secure information exchange plays a pivotal role in road safety and traffic management. Due to the open nature of the wireless medium and the constant or intermittent mobility of vehicles, the security of transmissions in V2X is more challenging compared to traditional wireless networks. Physical layer security (PLS) leverages the inherent randomness of wireless communication channels to ensure the confidentiality and security of information transmission. Current PLS schemes in integrated communications and sensing (ISAC) enabled V2X systems is to utilize communication interference to significantly impact the eavesdropping channel more than the legitimate channel. However, in an ISAC-enabled V2X system, it is crucial to prioritize and address the issue of interference coupling as it significantly impacts the confidentiality and security of information exchange. This goes beyond simply relying on the communication interference. Until now, no discussions or studies on integrating security with ISAC (SeucueISAC) in ISAC-enabled V2X systems, specifically regarding the exploitation of sensing interference or coupling interference. In this article, we provide a comprehensive review on PLS metrics and security threats encountered in V2X communication. And then, we discuss and analyze four popular PLS techniques and the main challenges associated with their implementation in ISAC-enabled V2X systems. Finally, we share our vision for PLS studies in ISAC-based V2X systems to promote Secure-ISAC. Copyright © 2023, The Authors. All rights reserved.

关键词： Motor transportation

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An Original Design of Robotic-Assisted Flexible Nasotracheal Intubation System

An Original Design of Robotic-Assisted Flexible Nasotracheal...

引用

2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Liu, He Liu, Shi-Qi Xie, Xiao-Liang Li, Ye Zhou, Xiao-Hu Feng, Zhen-Qiu Li, Guo-Tao Ma, Xi-Yao Hou, Zeng-Guang Yuan, Yong-Yi Cui, Yong Tian, Yu-Hong Dai, Pu Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Chinese Academy of Sciences Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology Shenzhen Institutes of Advanced Technology Shenzhen518055 China The Sixth Medical Center of Pla General Hospital College of Otolaryngology Head and Neck Surgery Beijing100853 China The 983th Hospital of Joint Logistic Support Force Department of Otolaryngology Tianjin300142 China

ISBN: (纸本)9798350325706

Nasotracheal intubation is a crucial emergency procedure that can improve the survival rate of injured patients. Compared to orotracheal intubation, nasotracheal intubation offers greater stability and comfort. However, due to the large curvature of the cavity, the procedure is highly challenging and requires skilled medical staff, which can be a shortage in emergencies and delay patient rescue. To solve this problem, a flexible and portable robot for nasotracheal intubation has been developed in this paper. The robot incorporates a continuum catheter, allowing the shape of the endotracheal tube's distal section to be controllable and making it easier to pass through the nasal cavity into the trachea. An endoscope is integrated into the distal section of the catheter to make the intubation process more intuitive, allowing doctors to observe the injuries through endoscopic images and adjust the treatment plan. Additionally, the robot is designed with a quick-detachable structure, enabling aseptic and low-cost intubation procedures. The structure and circuitry of the robot are designed for portability, with a smaller size and lower power consumption, which can work for a long time just powered by batteries. Finally, experiments on a mannequin validate that the robotic system effectively reduces the difficulty of tracheal intubation, enabling even non-medically trained operators to complete the procedure with the assistance of the robot. © 2023 IEEE.

关键词：

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Slimmable transformer with hybrid axial-attention for medical image segmentation

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Computers in Biology and Medicine 2024年 173卷 108370-108370页

作者： Hu, Yiyue Mu, Nan Liu, Lei Zhang, Lei Jiang, Jingfeng Li, Xiaoning College of Computer Science Sichuan Normal University Chengdu610101 China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen518172 China Department of Biomedical Engineering Michigan Technological University HoughtonMI49931 United States Visual Computing and Virtual Reality Key Laboratory of Sichuan Sichuan Normal University Chengdu610068 China Education Big Data Collaborative Innovation Center of Sichuan 2011 Chengdu610101 China

The transformer architecture has achieved remarkable success in medical image analysis owing to its powerful capability for capturing long-range dependencies. However, due to the lack of intrinsic inductive bias in modeling visual structural information, the transformer generally requires a large-scale pre-training schedule, limiting the clinical applications over expensive small-scale medical data. To this end, we propose a slimmable transformer to explore intrinsic inductive bias via position information for medical image segmentation. Specifically, we empirically investigate how different position encoding strategies affect the prediction quality of the region of interest (ROI) and observe that ROIs are sensitive to different position encoding strategies. Motivated by this, we present a novel Hybrid Axial-Attention (HAA) that can be equipped with pixel-level spatial structure and relative position information as inductive bias. Moreover, we introduce a gating mechanism to achieve efficient feature selection and further improve the representation quality over small-scale datasets. Experiments on LGG and COVID-19 datasets prove the superiority of our method over the baseline and previous works. Internal workflow visualization with interpretability is conducted to validate our success better;the proposed slimmable transformer has the potential to be further developed into a visual software tool for improving computer-aided lesion diagnosis and treatment planning. © 2024 Elsevier Ltd

关键词： COVID-19

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Learning robust and discriminative low-rank representations for face recognition with occlusion

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Pattern Recognition 2017年 66卷 129-143页

作者： Guangwei Gao Jian Yang Xiao-Yuan Jing Fumin Shen Wankou Yang Dong Yue Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Engineering Laboratory of Big Data Analysis and Control for active distribution network Nanjing University of Posts and Telecommunications Nanjing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) Fuzhou China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China School of Automation Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Southeast University Nanjing China

For robust face recognition tasks, we particularly focus on the ubiquitous scenarios where both training and testing images are corrupted due to occlusions. Previous low-rank based methods stacked each error image into a vector and then used L 1 or L 2 norm to measure the error matrix. However, in the stacking step, the structure information of the error image can be lost. Depart from the previous methods, in this paper, we propose a novel method by exploiting the low-rankness of both the data representation and each occlusion-induced error image simultaneously, by which the global structure of data together with the error images can be well captured. In order to learn more discriminative low-rank representations, we formulate our objective such that the learned representations are optimal for classification with the available supervised information and close to an ideal-code regularization term. With strong structure information preserving and discrimination capabilities, the learned robust and discriminative low-rank representation (RDLRR) works very well on face recognition problems, especially with face images corrupted by continuous occlusions. Together with a simple linear classifier, the proposed approach is shown to outperform several other state-of-the-art face recognition methods on databases with a variety of face variations.

关键词： Face recognition Low-rank matrix recovery Nuclear norm

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The Study on Electronic Structure and Catalytic Properties of Two-Dimensional Mx2n4 Systems (M= Ti,Zr;X= Si,Ge) by Dft

SSRN

引用

SSRN 2023年

作者： Wang, Yi Wang, Guang Huang, Mengya Zhang, Zhengli Wang, Jihong Zhao, Ding Guo, Xiang Liu, Xuefei College of Big Data and Information Engineering Guizhou University Guiyang550025 China Power Semiconductor Device Reliability Research Center the Ministry of Education Guizhou University Guiyang550025 China Key Laboratory of Micro-Nano-Electronics of Guizhou Province Guiyang550025 China School of Physics and Electronic Science Guizhou Normal University Guiyang550025 China

Recently, the two-dimensional MA2Z4 family with a seven-atom layer structure (experimentally synthesized a MoSi2N4 monolayer), which has good stability and exhibits semiconductivity, providing a platform for photocatalytic hydrolysis studies of two-dimensional polyatomic layer materials. In this work, we systematically investigated the thermal stability, dynamical stability, mechanical stability, electronic properties and HER performance of the MX2N4 systems (M= Ti, Zr;X= Si, Ge). All monolayer exhibit the excellent HER performance(The ΔGH* of TiSi2N4;ZrSi2N4;ZrGe2N4 are 0.11 eV;0.05eV;-0.03 eV, respectively) and meet the thermodynamic requirements of OER for photocatalytic. Furthermore, the effects of biaxial strain and pH value on ZrGe2N4 monolayer photocatalytic hydrolysis performance were studied. ZrGe2N4 monolayer with 1% compression strain has well HER performance ( ) under light conditions(Ue=0.04 eV, PH = 0), and the photocatalytic oxidation process of water can take place spontaneously under light conditions and PH ≥ 7. In addition, the ZrGe2N4 monolayer also has excellent absorption in the visible range (high absorption coefficients over 105 cm-1). The prospective uses of MX2N4 monolayers in the areas of electrocatalysis and photocatalysis will undoubtedly increase as these result, and it will be useful for experimental investigations. © 2023, The Authors. All rights reserved.

关键词： Monolayers

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A prediction-correction based iterative convolution-thresholding method for topology optimization of heat transfer problems

arXiv

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arXiv 2024年

作者： Chen, Huangxin Dong, Piaopiao Wang, Dong Wang, Xiao-Ping School of Mathematical Sciences Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing Xiamen University Fujian361005 China School of Science and Engineering The Chinese University of Hong Kong Guangdong Shenzhen518172 China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big Data Guangdong518172 China

In this paper, we propose an iterative convolution-thresholding method (ICTM) based on prediction-correction for solving the topology optimization problem in steady-state heat transfer equations. The problem is formulated as a constrained minimization problem of the complementary energy, incorporating a perimeter/surface-area regularization term, while satisfying a steady-state heat transfer equation. The decision variables of the optimization problem represent the domains of different materials and are represented by indicator functions. The perimeter/surface-area term of the domain is approximated using Gaussian kernel convolution with indicator functions. In each iteration, the indicator function is updated using a prediction-correction approach. The prediction step is based on the variation of the objective functional by imposing the constraints, while the correction step ensures the monotonically decreasing behavior of the objective functional. Numerical results demonstrate the efficiency and robustness of our proposed method, particularly when compared to classical approaches based on the ICTM. Copyright © 2024, The Authors. All rights reserved.

关键词： Convolution

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