检索结果-内蒙古大学图书馆

International Conference on Agro-Geoinformatics

作者： Chengqi Huang Shiyou Xu Ran Bi Binbin Jiang Yong Du Hui Ma Xiaoyu Zhang Ran Liao Shenzhen Key Laboratory of Marine IntelliSense and Computation Institute for Ocean Engineering Shenzhen International Graduate School Tsinghua University Shenzhen China School of Mechanical and Automotive Engineering Zhejiang University Science and Technology Hangzhou China Anji-ZUST research institute Huzhou P.R.China College of Jiyang Zhejiang A & F University Zhuji China Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen International Graduate School Tsinghua University Shenzhen China Hainan Institute Zhejiang University Sanya China School of Earth Sciences Zhejiang University Hangzhou China

ISBN: (数字)9798350380606

ISBN: (纸本)9798350380613

Accurate monitoring and classification of algal species, as well as the estimation of chlorophyll-a concentration, are crucial for assessing water quality and managing aquatic ecosystems. Algal blooms, particularly those involving toxic species, pose significant threats to water resources, aquatic life, and human health. Traditional remote sensing methods lack the precision and specificity needed to address these challenges effectively. This study aims to develop a more accurate, flexible, and comprehensive approach to chlorophyll-a concentration inversion using hyperspectral data By leveraging the rich spectral information provided by hyperspectral data and combining Long Short-Term Memory (LSTM) networks with one-dimensional Convolutional Neural Networks (1D-CNN), we significantly improve the accuracy of chlorophyll-a concentration inversion. Preliminary measurements in our study area showed chlorophyll-a concentrations exceeding $30 \mu \mathrm{g} / \mathrm{L}$, indicating a eutrophic state. Experimental results demonstrate that this combined approach enhances the ${\mathrm {R}}^{2}$ Coefficient of Determination) between predicted and actual chlorophyll-a concentrations from 0.71 to 0.94, outperforming traditional models. This advancement indicates a significant improvement in aquatic remote sensing technology, providing a more precise and reliable method for water quality monitoring and understanding aquatic ecosystem dynamics.

关键词： Accuracy Estimation Water quality Predictive models Reliability Monitoring Long short term memory

来源：评论

学校读者我要写书评

暂无评论

GPIO Based Iterative Learning Control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

引用

第42届中国控制会议

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Shenzhen Research Institute Southeast University School of Artificial Intelligence and Automation Huazhong University of Science and Technology Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators,a composite iterative learning control(ILC) scheme via generalized proportional integral observer(GPIO) is proposed.A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics,parameter uncertainties and load fluctuations.A GPIO is then designed to estimate the disturbances and high-order time *** introducing estimations into a PD-type ILC at each iteration,a composite control scheme is obtained,such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of *** this paper,the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to *** effectiveness of the proposed control scheme is finally verified by simulation results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Back-Scattering Suppression for Broad-Spectral High-Absorption Silicon Extended Area Blackbody

arXiv

引用

arXiv 2024年

作者： Zhou, Hong-Shuai Zhang, Jin-Hao Bai, Ben-Feng Mei, Xi-Ran Chen, Kun-Peng Hao, Xiao-Peng Song, Jian Guo, Guo-Rui Chen, Jia-Lin Tian, Tian Shen, Wan-Jie Zhong, Zi-Heng Liu, Jia-Yao Zhao, Ji-Hong Sun, Hong-Bo State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Beijing100084 China Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Remote Sensing Calibration Laboratory National Institute of Metrology Beijing100029 China Technology Innovation Center of Infrared Remote Sensing Metrology Technology State Administration for Market Regulation Beijing100029 China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University Changchun130012 China

The stability and emissivity of the online calibration blackbody used in high-precision infrared remote sensing detectors in extreme environments are the primary limiting factors for their measurement accuracy. Due to the limitations of microstructure size effects, traditional calibration extended area blackbody cannot achieve an optimal balance between emissivity and stability, thus hindering further improvement in infrared remote sensing accuracy. This work proposes a new method that utilize suppressing near-field backscattering to control far-field reflectance. Specifically, through simultaneously reducing backscattering intensity and the backscattering solid angle, the reflectance is significantly reduced to an extremely low limit, which is validated through numerical simulations. Additionally, by combining the femtosecond laser self-convergent processing technique, the spontaneous energy negative feedback mechanism during femtosecond laser processing is utilized to achieve the fabrication of a high emissivity, thermally stable, mechanically stable, and highly uniform extended area blackbody. The blackbody fabricated using this technique can be applied for online calibration in various extreme environments, significantly improving measurement accuracy and service life. © 2024, CC BY-NC-SA.

关键词： Reflection

来源：评论

学校读者我要写书评

暂无评论

Bayesian Framework for Multi-User Cooperative Radio SLAM

Bayesian Framework for Multi-User Cooperative Radio SLAM

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Hang Que Jie Yang Tao Du Shuqiang Xia Chao-Kai Wen Shi Jin National Mobile Communications Research Laboratory Southeast University Nanjing China Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China ZTE Corporation Shenzhen China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung Taiwan

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by $\mathbf{4 8. 5 \%}$ and UE localization accuracy by $13.5 \%$, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings.

关键词： Location awareness Simultaneous localization and mapping Accuracy Communication systems Heuristic algorithms Simulation Bayes methods Sensors Millimeter wave communication Land mobile radio

来源：评论

学校读者我要写书评

暂无评论

Single aerosol recognition based on deep learning of multidimensional polarization signals

Single aerosol recognition based on deep learning of multidi...

引用

Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2021

作者： Xu, Qizhi Liao, Riwei Zeng, Nan Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Graduate School at Shenzhen Tsinghua University Shenzhen518055 China Tsinghua University Department of Biomedical Engineering Tsinghua Yuan Beijing100084 China Departments of Physics Tsinghua University Beijing100084 China

ISBN: (数字)9781510641280

ISBN: (纸本)9781510641273

Aerosol particle classification are of great importance in many cases. But currently there is almost no universal method to deal with this task. In this study, we develop a one-dimensional convolution neural network taking multi-angle polarization time series signal of single suspended particle as input to identify its category. We train the network and reach quite high accuracy on a large dataset which contains signals of multi-kinds particles such as carbon black, PSL, dust and water-soluble salts. This method gives us a new way of looking deeper into single suspended particles in the air and the knowledge learned in this task may be able to be transferred to deal with tasks of recognizing more kinds or more complex aerosol particles such as bioaerosol or even airborne pathogen. © 2021 SPIE

关键词： Aerosols

来源：评论

学校读者我要写书评

暂无评论

Efficient Path-Following for Urban Logistics: A Fuzzy Control Strategy for Consumer UAVs under Disturbance Constraints

引用

IEEE Transactions on Consumer Electronics 2025年

作者： Shao, Xingling Du, Jun Xia, Yi Zhang, Zekai Hou, Xiangwang Debbah, Merouane North University of China School of Electrical and Control Engineering Taiyuan030051 China State Key Laboratory of Extreme Environment Optoelecronic Dynamic Measurement Technology and Instrument Taiyuan030051 China Tsinghua University Department of Electronic Engineering Beijing100084 China Tsinghua University State Key laboratory of Space Network and Communications Beijing100084 China National University of Defense Technology College of Intelligence Science and Technology Hunan Changsha410073 China Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China Khalifa University of Science and Technology KU6G Research Center Abu Dhabi127788 United Arab Emirates

The adoption of consumer unmanned aerial vehicles (UAVs) for logistics transportation is a key aspect of the emerging low-altitude economy, yet it faces significant challenges. Urban environments introduce complex obstacles, including dense buildings and unpredictable wind disturbances, while existing control methods struggle to balance path-following accuracy, disturbance rejection, and communication efficiency. To meet these demands, this paper proposes a quantized fuzzy learning path-following control for consumer UAVs. Firstly, a hysteresis quantized fuzzy disturbance observer (HQFDO) is proposed where the disturbances are approximately estimated by a neural network. Notably, a hysteresis quantizer is employed to reduce the communication bandwidth occupation by discretizing disturbance observations. Subsequently, a distributed velocity controller and a heading angle controller are designed to tackle the geometric and dynamic tasks separately. Specifically, the velocity controller introduces a projective arc length error to mitigate inefficiencies and safety risks associated with frequent acceleration and deceleration switches. Compared to conventional techniques, the proposed approach improves transient performance, enhances path attractivity, and optimizes communication resource utilization. Theoretical stability analysis is provided, and simulations validate the effectiveness of the proposed control strategy. © 1975-2011 IEEE.

关键词： Target drones

来源：评论

学校读者我要写书评

暂无评论

Design of Automatic Controller System for Three Axis 3D Printing Platform 5

Design of Automatic Controller System for Three Axis 3D Prin...

引用

2021 5th International Conference on Electrical, Automation and Mechanical engineering, EAME 2021

作者： Ren, Hongwei Luan, Yongchao Dong, Xingkun Zhou, Haijun Chen, Xin Yu, Xiaochuan School of Electrical Engineering University of Jinan Jinan China College of Civil and Transportation Engineering Shenzhen University Shenzhen China Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials University of Jinan Jinan China Shandong Junyu Electronic Technology Co. Ltd Linyi China

With the development of society and the continuous improvement of the level of automation, automatic three-dimensional work platform is more and more popular, but now the three-dimensional work platform has a single function, and the waste of capacity is a serious problem. Therefore, this paper uses STM32F429 MCU to design a set of replaceable working position of the three axis control platform. The design of the table with replaceable work head, by identifying the ID on the head, change the control mode, enhance the functional diversity of the three-axis platform. In addition, in order to improve the universality of the system, the platform has many external communication interfaces, visual man-machine interface and LAN network communication functions. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Relay Satellite Assisted LEO Constellation NOMA Communication System

arXiv

引用

arXiv 2024年

作者： Zhang, Xuyang Yue, Xinwei Han, Zhihao Li, Tian Shen, Xia Wang, Yafei Liu, Rongke Key Laboratory of Information and Communication Systems Ministry of Information Industry China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang Hebei050081 China Beijing100191 China School of Electronic and Information Engineering Beihang University Beijing100191 China Shenzhen Beihang Emerging Industry Technology Research Institute Shenzhen518063 China

This paper proposes a relay satellite assisted low earth orbit (LEO) constellation non-orthogonal multiple access combined beamforming (R-NOMA-BF) communication system, where multiple antenna LEO satellites deliver information to ground non-orthogonal users. To measure the service quality, we formulate a resource allocation problem to minimize the second-order difference between the achievable capacity and user request traffic. Based on the above problem, joint optimization for LEO satellite-cell assignment factor, NOMA power and BF vector is taken into account. The optimization variables are analyzed with respect to feasibility and non-convexity. Additionally, we provide a pair of effective algorithms, i.e., doppler shift LEO satellite-cell assisted monotonic programming of NOMA with BF vector (D-mNOMA-BF) and ant colony pathfinding based NOMA exponential cone programming with BF vector (A-eNOMA-BF). Two compromise algorithms regarding the above are also presented. Numerical results show that: 1) D-mNOMA-BF and A-eNOMA-BF algorithms are superior to that of orthogonal multiple access based BF (OMA-BF) and polarization multiplexing schemes;2) With the increasing number of antennas and single satellite power, R-NOMA-BF system is able to expand users satisfaction;and 3) By comparing various imperfect successive interference cancellation, the performance of A-mNOMA-BF algorithm exceeds D-mNOMA-BF. Copyright © 2024, The Authors. All rights reserved.

关键词： Satellite communication systems

来源：评论

学校读者我要写书评

暂无评论

Operation system design of SMA automatic trim machine based on PLC 4

Operation system design of SMA automatic trim machine based ...

引用

4th IEEE International Conference on Automation, Electronics and Electrical engineering, AUTEEE 2021

作者： Yu, Xiaochuan Chen, Anning Dong, Xingkun Zhou, Haijun Ren, Hongwei Cheng, Xin Shandong Junyu Electronic Technology Co.Ltd. Linyi China University of Jinan School of Electrical Engineering Jinan China Shenzhen University College of Civil and Transportation Engineering Shenzhen China University of Jinan Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials Jinan China

ISBN: (纸本)9781665428392

In recent years, with the rapid development of electronic industry, integrated circuit automatic packaging technology has been improved. At the same time, because of PLC software application technology increasingly mature, PLC as the controller of integrated circuit automatic packaging system is not only perfect technology, application is also very wide. In this paper, on the basis of packaging system and manipulator control system and other research results, the design of PLC as the controller of the manipulator system, not only can replace the heavy human labor, but also does not affect the use of the original packaging equipment. © 2021 IEEE.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

GPIO Based Iterative Learning Control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

引用

Chinese Control Conference (CCC)

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Nanjing China Shenzhen Research Institute Southeast University Shenzhen China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics, parameter uncertainties and load fluctuations. A GPIO is then designed to estimate the disturbances and high-order time derivatives. By introducing estimations into a PD-type ILC at each iteration, a composite control scheme is obtained, such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of manipulators. In this paper, the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to infinity. The effectiveness of the proposed control scheme is finally verified by simulation results.

关键词：

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：