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8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Li, Meihui Song, Chunhe Yu, Xia Chu, Mengmeng Li, Rui Shenyang University of Technology State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Shenyang China Shenyang University of Technology Shenyang China

ISBN: (纸本)9798331506230

Printed circuit board defect recognition is of great significance to ensuring the quality of electronic products. This paper proposes an improved PCB defect detection method based on YOLOV8. Firstly, the data augmentation method PredMix (prediction mix) is adopted to simulate scenarios such as overlapping and occlusion in images, where the displays are incomplete or blurred, thereby enhancing the robustness of the network model. Secondly, BiFPN is used to replace PAN-FPN in the fusion layer to strengthen the feature fusion capability. Finally, the CESE_C2f module is employed in the Backbone part, leveraging a lightweight attention mechanism to improve the detection effect while reducing the number of parameters. Experimental results show that compared with the original YOLOV8, the MAP value of this improved algorithm reaches 92.6%, with a 2.3% increase in accuracy. © 2024 IEEE.

关键词： Deep learning

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Research on Automatic Identification Algorithm of Corn Diseases and Pests Based on Residual Network 3

Research on Automatic Identification Algorithm of Corn Disea...

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3rd International Conference on Electronic Informationtechnology and Smart Agriculture, ICEITSA 2023

作者： Zhou, Lingfang Xiang, Weiwei Wen, Shasha Shi, Caiyun Chen, Leiping Zhang, Shunru School of Physics Electronics and Intelligent Manufacturing Huaihua University Hunan China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan China Huaihua Key Laboratory of Agricultural Ecology Prevention and Control Huaihua University Hunan China

ISBN: (纸本)9798400716775

This study focuses on the development needs of smart ecological agriculture and proposes an improved network model based on ResNet50. The research aims to improve the accuracy and efficiency of automatic identification of corn pests and diseases. Firstly, the collected leaf data of corn pests and diseases were enhanced. The purpose of doing so is to expand the amount of data and achieve a balance between various types of data. Secondly, the size of the network convolution kernel was adjusted. And introduce SE attention mechanism to the backend of the network to optimize the effect of network detail feature extraction. Finally, through experimental verification, the results show that the network model has high accuracy and robustness in identifying corn pests and diseases, and can effectively improve the efficiency of corn pest control. © 2023 ACM.

关键词： Efficiency

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A LESO Based Backstepping controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process

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Journal of Systems Science & Complexity 2024年第5期37卷 1789-1808页

作者： CHEN Luefeng LIU Xiao WU Min LU Chengda PEDRYCZ Witold HIROTA Kaoru School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R2G7Canada The Tokyo Institute of Technology Yokohama 226-8502Japan

In the process of coal mine drilling,controlling the rotary speed is important as it determines the efficiency and safety of *** this paper,a linear extended state observer(LESO)based backstepping controller for rotary speed is proposed,which can overcome the impact of changes in coal seam hardness on rotary ***,the influence of coal seam hardness on the drilling rig’s rotary system is considered for the first time,which is reflected in the numerical variation of load torque,and a dynamic model for the design of rotary speed controller is *** an LESO is designed to observe the load torque,and feedforward compensation is carried out to overcome the influence of coal seam *** on the model of the compensated system,a backstepping method is used to design a controller to achieve tracking control of the rotary ***,the effectiveness of the controller designed in this paper is demonstrated through simulation and field experiments,the steady-state error of the rotary speed in field is 1 r/min,and the overshoot is reduced to 5.8%.This greatly improves the stability and security,which is exactly what the drilling process requires.

关键词： Backstepping extended state observer hydraulic tunnel drilling machine rotary speed

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Cross-border Data Security Risk Analysis and Development Suggestions of the Protection Technologies for intelligent Connected Vehicles 5

Cross-border Data Security Risk Analysis and Development Sug...

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5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024

作者： Huang, Xiaolong Xin, Chongshi Ji, Haojie Lu, Wangdong He, Peng Chen, Yupeng State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China China Automotive Engineering Research Institute Co. Ltd Chongqing China

ISBN: (纸本)9798350352719

In recent years, intelligent connected vehicles (ICVs) have developed quickly and have been progressively introduced into the international market. Nevertheless, the operation of ICVs produces a large amount of important data coming from driving vehicle and necessitating cross-border transit. As the imperfections of the regulatory framework and the infancy of protective solutions for the ICV data, these data are vulnerable to the threats like eavesdropping and tampering during cross-border transmission. The private information, especially the data barred from leaving the country, will be probably leaked to other nations, endangering individual privacy and national security. Thus, the purpose of this manuscript is to analyze the security risks of cross-border data in ICVs and provide risk mitigation strategies. The legal requirements and pertinent cross-border materials need to be sorted out firstly to establish a thorough technical process for cross-border compliance of ICV data. Additionally, the ICV data risk analyses will be performed at every stage of the cross-border process. Furthermore, some efficient risk mitigation methods need to be offered to improve the security and dependability of the across-border data of ICVs. To address the problems associated with cross-border data pertaining to ICVs, a classification method for the cross-border data of ICVs will be presented according to current rules and data categorization schemes. Finally, this manuscript provides theoretical underpinnings and useful references for building a cross-border data security protection system, as well as a thorough analysis of the development patterns of cutting-edge technologies for cross-border data. © 2024 IEEE.

关键词： cross-border data data security protection technology risk analysis

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Simulation and optimization of inchworm-like pneumatic crawling actuator based on ABAQUS software 7

Simulation and optimization of inchworm-like pneumatic crawl...

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7th International Conference on Robotics, control and Automation Engineering, RCAE 2024

作者： Mu, Junqi Zong, Xiaofeng Wei, Yiyang Hou, Xuping China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation Wuhan430074 China

ISBN: (纸本)9798350355642

The actuator, serving as the fundamental power source of a soft robot, functions as its central component. The field of soft robotics has garnered increasing research attention since its inception. Pneumatic crawling robots, being an essential branch within the realm of soft robotics, possess notable characteristics such as rapid response time, cost-effectiveness, and human-computer interaction safety. Consequently, they hold significant research value. Among various types of crawling robots that have garnered considerable interest from researchers is the inchworm crawling robot. This paper aims to address the design and development aspects pertaining to inchworm actuators. By utilizing ABAQUS simulation software and taking displacement as the reference parameter, an analysis was conducted to investigate the impact of various geometric parameters on actuator displacement. Additionally, optimization of these geometric parameters was performed. The values of aspect ratio, length-to-width ratio, vertex angle and gap depth suitable for inchworm-like actuator are obtained. These findings are presented for the first time in the field of crawling soft robots and provide a theoretical basis for the development of pneumatic inchworm-like actuators. © 2024 IEEE.

关键词： Aspect ratio

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A Scholar of Dignity:Remembering Peter Luh

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1895-1897页

作者： Fei-Yue Wang Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100190China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China

It was a shock and disbelief to learn of Peter's death last *** me,he was so fit in his figure,so healthy in his lifestyle,so mild and mindful in his social behavior,and so devout in his religious belief,......,I ... 详细信息

关键词： religious Scholar belief

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Data Driven Comprehensive Performance Evaluation of Aeroengines:A Network Dynamic Approach

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Engineering 2025年第3期46卷 292-305页

作者： Yuting Wang Feng Liu Feng Xi Bofei Wei Dongli Duan Zhiqiang Cai Shubin Si School of Mechanical Engineering Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Industrial Engineering and Intelligent Manufacturing(Ministry of Industry and Information Technology of the People’s Republic of China) Xi’an 710072China AECC Aviation Power Co. Ltd.Xi’an 710005China School of Information and Control Engineering Xi’an University of Architecture and TechnologyXi’an 710311China

Aeroengines,often regarded as the heart of aircraft,are crucial for flight safety and *** performance evaluation of aeroengines supports Prognostics and Health Management(PHM)and aeroengine digital *** to their highly integrated nature,aeroengines present challenges in performance evaluation because their test-run data are high-dimensional,large-scale,and exhibit strong nonlinear correlations among test *** solve this problem,this study proposes a unified framework of the comprehensive performance evaluation of aeroengines to assess performance objectively and ***,the network model and the dynamics model of aeroengine performance are constructed driven by test-run data,which can explain the patterns of system state changes and the internal relationship,and depict the system *** on that,three perturbations in the model are used to simulate three fault modes of ***,the comprehensive performance evaluation indexes of aeroengines are proposed to evaluate the performance dynamically from two dimensions,the coupling performance and the activity *** test-run qualified and four test-run failed aeroengines are used to validate and establish the qualified *** results demonstrate that the comprehensive evaluation indexes can distinguish test-run qualified and test-run failed *** changing the dynamic parameters,the comprehensive performance under any thrust and inlet guide vanes(IGV)angle can be estimated,broadening the test-run scenarios beyond a few typical *** novel approach offers significant advancements for the comprehensive performance evaluation and management of aeroengines,paving the way for future PHM and aeroengine digital engineering developments.

关键词： Comprehensive performance evaluation Aeroengine performance Network Resilience

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Multi-UAV Coverage Path Planning Method Based on Improved Particle Swarm Optimization

Multi-UAV Coverage Path Planning Method Based on Improved Pa...

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2024 China Automation Congress, CAC 2024

作者： Zhou, Yan Xiong, Yonghua School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9798350368604

The widespread application of unmanned aerial vehicle (UAV) has made the coverage path planning problem for multiple UAV systems a research hotspot. In this paper, we propose a multi-UAV solution to achieve complete coverage of multi-region. Based on this solution, we present an improved particle swarm optimization (PSO) algorithm that combines PSO algorithm, greedy strategy, and back-and-forth (BAF) algorithm. Its purpose is to plan the optimal paths for multi-UAV while achieving the shortest total distance and the highest UAV cooperation efficiency with the minimum number of UAVs, thereby enhancing the multi-UAV coverage cooperation and path optimization capabilities. Simulation results demonstrate the feasibility and superiority of this algorithm. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Human-machine Collaboration Method Based on key Nodes of Human Posture

Human-machine Collaboration Method Based on Key Nodes of Hum...

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2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Li, Xinwang Chen, Zaili Zhong, Zhenyu Ma, Jinqi Institute of Intelligent Manufacturing School of Automation Guangdong University of Technology Guangdong Key Laboratory of Modern Control Technology Guangzhou China Institute of Intelligent Manufacturing Guangdong Key Laboratory of Modern Control Technology Guangzhou China

ISBN: (纸本)9781665409025

Aiming at the personal safety problems in the complex working conditions and high-risk working environments such as high temperature and high radiation in the industrial field, a human-machine collaboration method based on the key nodes of human posture is proposed. First, compare the human pose detection performance of AlphaPose, OpenPose, and HRNet models in complex environments such as different lighting, different human poses, and occlusions, and select AlphaPose, which is suitable for real-time human-machine collaboration, as the basic model of human-machine collaboration;then, formulate standard human actions, establish the mapping relationship between human actions and robot actions;then, use the spatial position data of key human nodes to establish a human action recognition algorithm to calculate the similarity between the action to be detected and the standard human action to identify the human action;finally, real-time control according to the mapping relationship the movement of the robot realizes the collaboration between human and robot. Experimental results show that the average action recognition accuracy of the method proposed in this paper can reach 91.2%, the average action recognition speed can reach 67ms, the average action recognition accuracy under 0-60 Lux illumination intensity can reach 90.4%, and the average recognition accuracy under partial occlusion conditions up to 87.6%. © 2022 IEEE.

关键词： Real time control

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Vehicle Platoon Motion Planning Based on Dual-Mode Strategy 1

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2023中国汽车工程学会年会暨展览会

作者： Lv Ying Sun Liangliang Li Haomiao Hu Hongyu He Lei Intelligent and Connected Vehicle Development Institute China FAW Corporation Limited State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control State Key Laboratory of Automotive Simulation and Control Jilin University

ISBN: (数字)9789819702527

ISBN: (纸本)9789819702510;9789819702541

intelligent connected vehicle platooning technology utilizes vehicle-to-vehicle communication to enhance urban road efficiency and ensure driving *** paper focuses on the vehicle platoon motion planning algorithm,which constructs a reference path for platoon vehicles based on smoothed historical trajectory points of the lead *** algorithm generates path boundaries considering road and obstacle information,creates candidate paths using lateral and longitudinal sampling,and selects the optimal path using a cost function.A velocity planning algorithm is developed for platoon vehicles,incorporating dual-mode strategies for platoon cruise and obstacle avoidance based on different scenarios.A safety risk assessment is established,guiding the choice of speed planning ***-world experiments validate the planning outcomes,evaluating speed,acceleration,and inter-vehicle *** indicate well-smoothed trajectories with good comfort and safety attributes.

关键词： intelligent connected vehicle Path planning Speed planning Vehicle platoon

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