检索结果-内蒙古大学图书馆

First-principles calculations study of valley polarization in antiferromagnetic bilayer systems

Physical Review B 2025年第14期111卷 L140404-L140404页

作者： San-Dong Guo Ping Li Guangzhao Wang School of Electronic Engineering Xi'an University of Posts and Telecommunications Xi'an 710121 China State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and Engineering Xi'an Jiaotong University Xi'an Shaanxi 710049 China Key Laboratory of Extraordinary Bond Engineering and Advanced Materials Technology of Chongqing School of Electronic Information Engineering Yangtze Normal University Chongqing 408100 China

Superior to ferromagnetic (FM) valleytronics, antiferromagnetic (AFM) counterparts exhibit ultradense and ultrafast potential due to their intrinsic advantages of zero stray field, terahertz dynamics, and compensated moments of antiferromagnets. However, the physics of spontaneous valley polarization is mainly rooted in FM hexagonal lattices and is rarely used to explore the simultaneous spin and valley polarizations in AFM materials. Here, we propose a general stacking method to achieve valley polarization in AFM bilayer systems. The hexagonal ferrovalley material is used as the basic building unit, and then the space-inversion centrosymmetric bilayer system with interlayer AFM ordering is constructed by horizontal mirror and twofold rotational operations, which can exhibit spontaneous valley polarization. In this construction process, the rarely explored layer-locked hidden valley polarization, hidden Berry curvature, and layer Hall effect are involved, and an out-of-plane electric field can be used to detect hidden valley polarization and to realize layer-locked anomalous valley Hall effect. We use three examples to illustrate our proposal. First, the Janus GdBrI is used to illustrate concepts and effects involved in our design process. Second, the RuBr2 is used to demonstrate other phenomena, including valley polarization transition and near-ideal quantum spin Hall insulators. Finally, we use our design principles to understand the valley polarization of experimentally synthesized MnSe from a new perspective. Our works establish a robust general scheme to achieve valley polarization in AFM bilayer systems, thereby opening up new avenues for AFM valleytronics.

关键词： Landforms

来源：评论

学校读者我要写书评

暂无评论

Failure Envelopes of Single-Plate Rigid Helical Anchors for Floating Offshore Wind Turbine

引用

China Ocean engineering 2023年第6期37卷 1000-1010页

作者： CHEN Hong-zhen WANG Le TIAN Ying-hui ZHANG Chun-hui SHEN Zhi-chao LIU Meng-meng State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin UniversityTianjin 300072China State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Department of Infrastructure Engineering Faculty of Engineering and Information Technology The University of MelbourneVictoria 3010Australia School of Civil Engineering Hebei University of Science and TechnologyShijiazhuang 050018China Hebei Technological Innovation Center of Disaster Prevention and Mitigation Engineering of Geotechnical and Structural System Shijiazhuang 050018China School of Marine Science and Engineering South China University of TechnologyGuangzhou 511442China Institute of Ocean Energy and Intelligent Construction Tianjin University of TechnologyTianjin 300384China

Helical anchor is a kind of novel foundation for floating offshore wind turbines,which should be subjected to combined tensile loading caused by wind,wave and ***,the research about the capacity of helical anchor was mainly examined under uniaxial loading and scarcely explored under combined *** this study,three-dimensional finite element limit analysis is adopted to assess the bearing capacities of single-plate rigid helical anchors with different ratios of helix to shaft diameter,D_(H)/D_(S) and embedment ratios L/D_(S).Result shows that the vertical,horizontal and moment bearing capacities increase with increasing D_(H)/D_(S) and L/D_(S).The normalized V-H failure envelopes expands with increasing L/D_(S),while the normalized V-M failure envelopes tend to contract with the increase of D_(H)/D_(S).With increasing D_(H)/D_(S) or decreasing L/D_(S),the normalized H-M failure envelopes expand when the horizontal and moment loading act in the same direction and contract when they act in the opposite *** effect of D_(H)/D_(S) and L/D_(S) on the shape of H-M failure envelope become insignificant when L/D_(S)≥4.A series of failure mechanisms under different loading conditions were observed and can be used to explain the ***,a series of approximate expressions were proposed to fit the uniaxial bearing capacities and the failure envelopes.

关键词： helical anchors bearing capacity failure envelope clay

来源：评论

学校读者我要写书评

暂无评论

Integrating GAT and LSTM for Robotic Arms Motion Planning 43

Integrating GAT and LSTM for Robotic Arms Motion Planning

引用

43rd Chinese Control Conference, CCC 2024

作者： Gao, Zehua Zhang, Junnan Liu, Zhaoyang Jiang, Zewu Wang, Ke Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin300072 China

ISBN: (纸本)9789887581581

In the field of robotic arm control, efficient motion planning, especially in environments with multiple arms, poses significant challenges, including longer planning times and extensive collision detection in complex scenes. We use a learning based approach to solve this problem. This paper proposes a motion planning algorithm that integrates graph attention network (GAT) and Long Short-Term Memory (LSTM) network for the problem of motion planning of two robotic arms. This method uses imitation learning to train the control strategy of the robotic arm, constructs graph nodes through sampling, and encodes the trajectory of the robotic arm using LSTM. The experimental results show that compared with advanced planning algorithms in dynamic environments, our algorithm can maintain similar success rates while reducing collision detection and accelerating online planning speed. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Robotic arms

来源：评论

学校读者我要写书评

暂无评论

A joint sparse Bayesian learning for wideband DOA estimation

A joint sparse Bayesian learning for wideband DOA estimation

引用

2024 Conference on Spectral technology and Applications, CSTA 2024

作者： Zhao, Yonghong Liu, Jisong Wang, Junlong Dong, Shuxin Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Department of Automation and Information Engineering Xi'an University of Technology Shaanxi Xi'an710048 China

ISBN: (纸本)9781510683082

Wideband direction of arrival (DOA) estimation using sensor array is a noteworthy problem frequently occurring in many applications involving radar, sonar, and communication. We present a wideband DOA method based on a sparse Bayesian learning of multiple sub-bands jointly with the redundant dictionary matrix at the reference frequency. Explicitly enforcing the focusing operation and the singular value decomposition (SVD) to sensor measurements is motivated by a desire to decrease the computational complexity and storage capacity. A joint sparse Bayesian learning framework is proposed to deal with multiple sub-bands under one segment to obtain the DOA information. Moreover, the proposed method can be directly extended to multiple segments. Comparing to other wideband DOA estimation methods, the proposed method has the advantages of increased resolution, higher accuracy, and correlation of the sources, as well as not requiring the initial angles for the focusing matrix. Simulations are provided to show the effectiveness and improved performance of the proposed method. © 2024 SPIE.

关键词： Direction of arrival

来源：评论

学校读者我要写书评

暂无评论

Speed limit effect during lane change in a two-lane lattice model under V2X environment

引用

Chinese Physics B 2024年第3期33卷 718-722页

作者：金灿彭光含聂方彦 College of Physical Science and Technology Guangxi Normal UniversityGuilin 541004China Guangxi Key Laboratory of Nuclear Physics and Technology Guangxi Normal UniversityGuilin 541004China Information and Modern Education Technology Center Hunan University of Arts and ScienceChangde 415000China Computer and Information Engineering College Guizhou University of CommerceGuiyang 550014China

Speed limit measures are ubiquitous due to the complexity of the road environment,which can be supplied with the help of vehicle to everything(V2X)communication ***,the influence of speed limit on traffic system will be investigated to construct a two-lane lattice model accounting for the speed limit effect during the lane change process under V2X ***,the stability condition and the mKdV equation are closely associated with the speed limit effect through theory ***,the evolution of density and hysteresis loop is simulated to demonstrate the positive role of the speed limit effect on traffic stability in the cases of strong reaction intensity and high limited speed.

关键词： traffic flow lattice model speed limit

来源：评论

学校读者我要写书评

暂无评论

A Voxel Classification and Deletion Strategy for LiDAR-based 3D Object Detection 43

A Voxel Classification and Deletion Strategy for LiDAR-based...

引用

43rd Chinese Control Conference, CCC 2024

作者： Chen, Fang Li, Zheng Zuo, Zhiqiang Wang, Yijing Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin300072 China

ISBN: (纸本)9789887581581

LiDAR-based 3D object detection plays an important role in autonomous driving. Among them, voxel-based methods have found wide applications in industrial deployments. This paper proposes a strategy to alleviate the imbalance in the numbers of foreground points and background points with the help of voxel classification (VoxCls) and voxel deletion (VoxDel). It can significantly improve the performance of voxel-based models without changing the network inference structure. First, a binary classification is developed to guide the network in distinguishing foreground voxels from background voxels. By doing so, the features of voxels implicitly incorporate information about both foreground and background. Second, background voxels are filtered based on VoxCls to solve the imbalance issue between foreground and background. Finally, experimental results demonstrate the effectiveness of enhancing voxel-based 3D object detection performance. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Object recognition

来源：评论

学校读者我要写书评

暂无评论

Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion

引用

Computer Modeling in engineering & sciences 2024年第6期139卷 3329-3352页

作者： Kuosheng Jiang Chengrui Han Yasheng Chang School of Mechanical and Electrical Engineering Anhui University of Science and TechnologyHuainan232001China School of Optical and Electronic Information Suzhou City University&Suzhou Key Laboratory of BiophotonicsSuzhou215104China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an710054China

Angular contact ball bearings have been widely used in machine tool spindles,and the bearing preload plays an important role in the performance of the *** order to solve the problems of the traditional optimal preload prediction method limited by actual conditions and uncertainties,a roller bearing preload test method based on the improved D-S evidence theorymulti-sensor fusion method was ***,a novel controllable preload system is proposed and ***,multiple sensors are employed to collect data on the bearing parameters during preload ***,a multisensor fusion algorithm is used to make predictions,and a neural network is used to optimize the fitting of the preload *** limitations of conventional preload testing methods are identified,and the integration of complementary information frommultiple sensors is used to achieve accurate predictions,offering valuable insights into the optimal preload *** results demonstrate that the multi-sensor fusion approach outperforms traditional methods in accurately measuring the optimal preload for rolling bearings.

关键词： Multi-sensor information fusion neural network preload force

来源：评论

学校读者我要写书评

暂无评论

Configuration Synthesis and Lightweight Networking of Deployable Mechanism Based on a Novel Pyramid Module

引用

Chinese Journal of Mechanical engineering 2023年第4期36卷 294-310页

作者： Jinwei Guo Jianliang He Guoxing Zhang Yongsheng Zhao Yundou Xu School of Mechanical Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China Parallel Robot and Mechatronic System Laboratory of Hebei Province Yanshan UniversityQinhuangdao 066004China Key Laboratory of Advanced Forging and Stamping Technology and Science of Ministry of National Education Yanshan UniversityQinhuangdao 066004China

Deployable mechanism with preferable deployable performance,strong expansibility,and lightweight has attracted much attention because of their potential in aerospace.A basic deployable pyramid unit with good deployability and expandability is proposed to construct a sizeable deployable ***,the basic unit folding principle and expansion method is *** configuration synthesis method of adding constraint chains of spatial closed-loop mechanism is used to synthesize the basic ***,the degree of freedom of the basic unit is analyzed using the screw theory and the link dismantling ***,the three-dimensional models of the pyramid unit,expansion unit,and array unit are established,and the folding motion simulation analysis is carried *** on the number of components,weight reduction rate,and deployable rate,the performance characteristics of the three types of mechanisms are described in ***,prototypes of the pyramid unit,combination unit,and expansion unit are developed to verify further the correctness of the configuration synthesis based on the *** proposed deployable mechanism provides aference for the design and application of antennas with a large aperture,high deployable rate,and *** has a good application prospect in the aerospace field.

关键词： Pyramid unit Deployable mechanism Configuration synthesis Structural design Lightweight networking

来源：评论

学校读者我要写书评

暂无评论

DP-GenFL: a local differentially private federated learning system through generative data

引用

science China(information sciences) 2023年第8期66卷 275-276页

作者： Jun LI Kang WEI Chuan MA Feng SHU School of Electronic and Optical Engineering Nanjing University of Science and Technology Zhejiang Lab Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education School of Information and Communication Engineering Hainan University

With the rapid development of the Internet of Things(Io T),the amount of data from intelligent devices is propagating at unprecedented scales. Meanwhile, machine learning(ML),which relies heavily on such data, is revolutionizing many aspects of our lives [1]. However, conventional centralized ML offers little scalability for efficiently processing this huge amount of data.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

RESEARCH ON THE IMPACT OF ACTIVATION FUNCTIONS ON NEURAL NETWORK MODELS FOR PREDICTING VIBRATION RESPONSES

RESEARCH ON THE IMPACT OF ACTIVATION FUNCTIONS ON NEURAL NET...

引用

2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Yang, Hongji Xia, Tianxiang Wu, Ke AVIC Nanjing Engineering Institute of Aircraft System Nanjing China Aviation Science and Technology Key Laboratory of Aviation Mechanical and Electrical System Nanjing China

In the research of mechanical environments for aerospace electromechanical systems, the computational method for vibration response is crucial as it affects various aspects of product structure and systems design. In recent years, the intersection between vibration response and deep learning has been a hot research area, yet many challenges remain to be addressed. This article focuses on the research regarding the impact of different activation functions on neural network models for predicting vibration responses. Activation functions are designed for three typical models: multilayer perceptron (MLP), recurrent neural network (RNN), and convolutional neural network (CNN). The study investigates the influence of different activation functions on prediction results under the condition of noisy vibration signals. This article provides a reference for research at the intersection of deep learning and vibration response prediction. © The Institution of engineering & technology 2024.

关键词： Neural network models

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：