检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Yu, Zhenyu Idris, Mohd Yamani Idna Wang, Pei Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur50603 Malaysia Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming210098 China

Quantitative remote sensing inversion plays a critical role in environmental monitoring, enabling the estimation of key ecological variables such as vegetation indices, canopy structure, and carbon stock. Although vision foundation models have achieved remarkable progress in classification and segmentation tasks, their application to physically interpretable regression remains largely unexplored. Furthermore, the multi-spectral nature and geospatial heterogeneity of remote sensing data pose significant challenges for generalization and transferability. To address these issues, we introduce SatelliteCalculator, the first vision foundation model tailored for quantitative remote sensing inversion. By leveraging physically defined index formulas, we automatically construct a large-scale dataset of over one million paired samples across eight core ecological indicators. The model integrates a frozen Swin Transformer backbone with a prompt-guided architecture, featuring cross-attentive adapters and lightweight task-specific MLP decoders. Experiments on the Open-Canopy benchmark demonstrate that SatelliteCalculator achieves competitive accuracy across all tasks while significantly reducing inference cost. Our results validate the feasibility of applying foundation models to quantitative inversion, and provide a scalable framework for task-adaptive remote sensing estimation. The code and dataset are available at: https://***/YuZhenyuLindy/SatelliteCalculator Copyright © 2025, The Authors. All rights reserved.

关键词： Environmental monitoring

来源：评论

学校读者我要写书评

暂无评论

Zero-sum game-based adaptive optimal tracking control for nonlinear systems with uncertain dynamics and external disturbance

引用

International Journal of Dynamics and Control 2025年第6期13卷 1-17页

作者： Yan, Lei Lai, Guanyu Liu, Zhi Chen, C. L. Philip School of Intelligent Manufacturing Nanyang Institute of Technology Nanyang China School of Automation Guangdong University of Technology Guangzhou China Faculty of Computer Science and Engineering South China University of Technology Guangzhou China

This paper addresses the issue of adaptive optimal tracking control of nonlinear systems with uncertain dynamics and external disturbances in a zero-sum game setting. The presence of these uncertainties makes it challenging to develop a controller that can achieve good tracking and optimal performance. To tackle this problem, an adaptive backstepping technique is employed to design the forward controller. This technique transforms the error dynamics into an affine system by utilizing a second-order command filter. Furthermore, within the framework of the zero-sum game, the model identifier is utilized to approximate the unknown dynamics while simultaneously considering the external disturbances. By playing the game, the action network generates an optimal controller that is robust against the worst disturbance. The stability of the closed-loop system is proven using the Lyapunov stability theory. It is demonstrated that all closed-loop signals remain bounded, and the weights of all networks are uniformly ultimately bounded. Moreover, the system is capable of tracking reference signals using the optimized controller. The effectiveness of the proposed approach is confirmed through demonstration examples.

关键词： Model reference adaptive control

来源：评论

学校读者我要写书评

暂无评论

RAC-Based One-Stop Professional Course Teaching Model Exploration and Practice - Taking the Course of "Microcomputer Principles and Interface Technology" as an Example 6th

RAC-Based One-Stop Professional Course Teaching Model Explor...

引用

6th International Conference on computer Science and Educational Informatization, CSEI 2024

作者： Wan, Xiaorong Li, Yingna Luo, Chuan Li, Chuan You, Jinguo Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Computer Technology Applications Kunming650500 China

ISBN: (纸本)9789819637379

In the context of the country’s requirement for academic disciplines to be aligned and mutually reinforcing with industry chains, innovation chains, and talent chains, the integration of education and industry has become an important direction for the reform of higher education. In response to the iterative demand for edge intelligence in the Intelligent Internet of Things (AIOT), the course "Microcomputer Principles and Interface Technology" is deeply integrated with industry and education, establishing a hierarchical model of resource, capability, and commercialization (RAC) layers. It adopts a "one-stop" teaching mainline that starts with microcomputer theory knowledge, relies on hardware development boards, project orientation, competition innovation, and product commercialization training "five points and one line", connects knowledge product channels, integrates ideological and political education in courses, and constructs a multi-dimensional and comprehensive evaluation system to achieve the integration of industry and education from universities to enterprises, classrooms to markets, and from knowledge to products. The innovative teaching mode of this course has achieved significant results in innovative practice. This innovative teaching mode can effectively achieve the knowledge, ability, and quality goals of cultivating new engineering talents, and effectively improve the quality of talent cultivation and teaching. This teaching reform and innovation provide a reference and idea for further exploring the talent cultivation mode of schools and enterprises. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

Research on Citrus Leaf Disease Recognition Using Class-Agnostic Contrastive Learning and Supervised Organizational Mapping

引用

IEEE Access 2025年

作者： Xiao, Wen Shang, Jinxia Li, Fan Ao, Ou Wang, Xin Tian, Shiyi Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Yunnan Key Lab of Computer Technology Applications Kunming650500 China

Early detection of plant diseases is crucial for enhancing agricultural productivity and ensuring crop protection. While computer vision offers scalable alternatives to manual inspection, existing methods face two understudied challenges: (1) performance degradation in cluttered real-world conditions, and (2) ineffective feature separation for randomly distributed lesions with diverse symptoms. Notably, current research predominantly relies on controlled-environment datasets, lacking publicly accessible benchmarks with authentic field complexities. To address these, we present the first large-scale citrus leaf disease dataset (5,763 images, 6 categories) capturing complex field conditions including varying illumination, occlusion, multi-scale lesions, and deceptive backgrounds. Our key methodological innovations include a three-stage weakly supervised framework that systematically resolves background interference and feature redundancy: (i) Class-agnostic contrastive localization enabling precise lesion mapping without region annotations, (ii) Stable feature initialization through region-guided classification training, (iii) Sparse orthogonal mapping with experimentally-determined nodes introducing orthogonality constraints to enhance feature separation. Through feature alignment and feature fusion, an accuracy of 97.1% is achieved (+2.4% vs ResNet-18). Evaluations on citrus leaf and public datasets demonstrate superior accuracy and interpretable lesion localization, advancing plant disease diagnosis. © 2013 IEEE.

关键词： Citrus fruits

来源：评论

学校读者我要写书评

暂无评论

Process of Magnetization in Strong Magnetic Fields of Amorphous Fe-Based Alloys

Process of Magnetization in Strong Magnetic Fields of Amorph...

引用

作者： Stambula, S. Nabialeka, M. Paszta, P. Nabialek, M.M. Pietrusiewicz, P. Somidin, F. Jez, B. Department of Physics Faculty of Production Engineering and Materials Technology Czestochowa University of Technology al. Armii Krajowej 19 Częstochowa42-200 Poland Department of Technology and Automation Faculty of Mechanical Engineering and Computer Science Czestochowa University of Technology al. Armii Krajowej 19c Częstochowa42-200 Poland Center of Excellence Geopolymer and Green Technology Universiti Malaysia Perlis Taman Muhibbah Perlis Arau02600 Malaysia

Amorphous alloys exhibit a similar course of the magnetization process as crystalline materials. This means that there is also a domain structure in their volume, the changes of which describe the magnetization process well. These defects are a kind of inhomogeneity of the material structure and become an area where there are disturbances in the alignment of spins in relation to the intensity of the external magnetic field. These disturbances are the reason for the change in the course of the M-H curve. Using the theory developed by H. Kronmüller, it is possible to study the process of magnetization of amorphous ferromagnetic alloys in strong magnetic fields. The work analyzes the change in the process of magnetization of amorphous iron alloys along with the change in their chemical composition. © 2025 Polska Akademia Nauk. All rights reserved.

关键词： Amorphous alloys

来源：评论

学校读者我要写书评

暂无评论

FSIW Cavity-Based Self-Packaging Filtering Slot Antennas with Wide-Stopband and High Frequency Selectivity

引用

IEEE Transactions on Antennas and Propagation 2025年

作者： Zhou, Xin Zhang, Gang Tam, Kam-Weng Pang, Ziyu Zhang, Zhuowei Lin, Huawei Hong, Jiasheng University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China Nanjing Normal University School of Electrical and Automation Engineering Nanjing210046 China Nanjing Normal University Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing School of Electrical and Automation Engineering Nanjing210046 China Heriot-Watt University School of Engineering and Physical Sciences Department of Electrical Electronic and Computer Engineering EdinburghEH14 4AS United Kingdom

This article proposes a novel design approach for miniaturized, highly selective, self-packaged, and wide-stopband filtering slot antennas based on C- and T-type folded substrate integrated waveguide (C-/T-FSIW) cavities. Firstly, two forms of FSIW cavity are explored and analyzed. A new coupled C-type half-mode FSIW (C-HMFSIW) cavities are developed. A filtering antenna is proposed, employing a C-HMFSIW cavity for feeding and a slot-loaded C-FSIW cavity for radiation. By introducing cross-coupling between different resonators, a radiation null (RN) is achieved. To further enhance bandwidth and frequency selectivity, a new antenna configuration is developed using a C-HMFSIW cavity for feeding and a slot-loaded T-FSIW cavity for radiation. After loading the radiation slot, the T-FSIW cavity serves as two parts: one as the main radiator and the other as a parasitic radiator opposite to it. This configuration increases antenna bandwidth and generates an additional RN. Interestingly, adjusting the position of the radiation slot allows the RN to switch between the upper and lower stopbands. The antennas proposed in this work exhibit good stopband performance and compact size. Three filtering antenna prototypes are designed, fabricated, and measured, showing consistent results between measurements and simulations. © 1963-2012 IEEE.

关键词： Radiators

来源：评论

学校读者我要写书评

暂无评论

A Fast-Digital Current Regulator Based on Matched Pole-Zero Discretization for PMSM

引用

IEEE Transactions on Transportation Electrification 2025年

作者： Mon-Nzongo, Daniel Legrand Lin, Shengyu Ipoum-Ngome, Paul Gistain Lai, Chunyan Jin, Tao Rodriguez, J. Concordia University Department of Electrical Engineering and Computer Engineering MontrealQCH3G1M8 Canada Fuzhou University School of Electrical Engineering and Automation Fuzhou350116 China Universidad San Sebastian Santiago Faculty of Engineering Santiago Chile

Continuous-time methods design the synchronous-frame current regulator in the S-domain and then discretize it into the Z-domain using the Tustin or Euler method for digital implementation. This process causes discretization errors that significantly impair the performance of permanent magnet synchronous motor (PMSM) drives, especially at a low sampling-to-fundamental frequency ratio (SFR). A direct discrete-time method, design the current regulator directly in the Z-domain with improved dynamic performances. However, it results in online calculations of exponential terms that increase the execution time of the control loop, particularly for Interior PMSM (IPMSM). Therefore, this paper proposes a novel design approach of a digital current regulator with a high discretization accuracy and fast execution time. The proposed method is a combination of the multiple-input-multiple-output (MIMO) decoupling and matching pole-zero (MPZ) discretization concepts. MIMO decoupling is used to cancel accurately the poles of the plant that migrate with the motor's speed/frequency change in the S-domain. The MPZ method is used to discretize accurately the current regulator from S-domain to Z-domain. A new approximation concept for the calculation of the exponential matrix is adopted to reduce the complexity of the proposed approach. Thus, with the synthesized current regulator, the execution time is reduced significantly compared to the direct discrete-time design methods while keeping the same decoupling and dynamic performances even under low SFRs. Simulations and experiments performed on IPMSM drives have successfully verified the proposed design method, and results show improved decoupling performance and robustness against the variation of parameters with better current harmonic distortion. © 2015 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Eddy Current Induced in a Finite-Length Tube by a C-Core Sensor in Arbitrary Axial Position

引用

IEEE Transactions on Magnetics 2025年第5期61卷

作者： Xiang, Yike Luo, Yao Du, Zhiye Tytko, Grzegorz Wang, Yuneng Chen, Zhichao Wuhan University State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and Automation Wuhan430072 China Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Gliwice44-100 Poland

The enhanced truncated region eigenfunction expansion (enhanced TREE) method is employed to derive an analytical model of a finite-length metal tube tested by a C-core coil in an arbitrary axial position. The vector potential and the coil impedance variation are calculated. To develop an efficient algorithm, the 1-D finite element method (1-D FEM), vector normalization, and Clenshaw-Curtis quadrature are integrated. To improve the computation performance of the complex eigenvalues with large imaginary parts, a coordinate transformation technique is implemented within the Arnoldi iteration. The efficacy of the proposed approach is validated by comparing the theoretical predictions with experimental results. © 1965-2012 IEEE.

关键词： Eigenvalues and eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

Quantum Complex-Valued Self-Attention Model

arXiv

引用

arXiv 2025年

作者： Chen, Fu Zhao, Qinglin Feng, Li Tang, Longfei Lin, Yangbin Huang, Haitao Faculty of Innovation Engineering Macau University of Science and Technology 999078 China College of Electrical Engineering and Automation Fuzhou University Fuzhou350108 China College of Computer Engineering College Jimei Univeristy Xiamen361021 China

The self-attention mechanism has revolutionized classical machine learning, yet its quantum counterpart remains underexplored in fully harnessing the representational power of quantum states. Current quantum self-attention models exhibit a critical limitation by neglecting the indispensable phase information inherent in quantum systems when compressing attention weights into real-valued overlaps. To address this fundamental gap, we propose the Quantum Complex-Valued Self-Attention Model (QCSAM), the first framework that explicitly leverages complex-valued similarities between quantum states to capture both amplitude and phase relationships. Simultaneously, we enhance the standard Linear Combination of Unitaries (LCUs) method by introducing a Complex LCUs (CLCUs) framework that natively supports complex-valued coefficients. This framework enables the weighting of corresponding quantum values using fixed quantum complex self-attention weights, while also supporting trainable complex-valued parameters for value aggregation and quantum multi-head attention. Experimental evaluations on MNIST and Fashion-MNIST demonstrate our model’s superiority over recent quantum self-attention architectures including QKSAN, QSAN, and GQHAN, with multi-head configurations showing consistent advantages over single-head variants. We systematically evaluate model scalability through qubit configurations ranging from 3 to 8 qubits and multi-class classification tasks spanning 2 to 4 categories. Through comprehensive ablation studies, we establish the critical advantage of complex-valued quantum attention weights over real-valued alternatives. Copyright © 2025, The Authors. All rights reserved.

关键词： Qubits

来源：评论

学校读者我要写书评

暂无评论

The Large Language Models on Biomedical Data Analysis: A Survey

引用

IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页

作者： Lan, Wei Tang, Zhentao Liu, Mingyang Chen, Qingfeng Peng, Wei Chen, Yiping Phoebe Pan, Yi Guangxi University School of Computer Electronic and Information Nanning530004 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China La Trobe University Department of Computer Science and Information Technology MelbourneVIC3086 Australia Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen518055 China

With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent need for a summary of LLM applications in biomedical data analysis. Herein, we propose this review by summarizing the latest research work on LLM in biomedicine. In this review, LLM techniques are first outlined. We then discuss biomedical datasets and frameworks for biomedical data analysis, followed by a detailed analysis of LLM applications in genomics, proteomics, transcriptomics, radiomics, single-cell analysis, medical texts and drug discovery. Finally, the challenges of LLM in biomedical data analysis are discussed. In summary, this review is intended for researchers interested in LLM technology and aims to help them understand and apply LLM in biomedical data analysis research. © 2013 IEEE.

关键词： Data consistency

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：