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6th International Conference on Intelligent Robotics and control engineering, IRCE 2023

作者： Li, Mingqun Liu, Xiang Chen, Shangshang Ma, Kun Jiang, Qinghua Research and Development Center Beijing Institute of Control Engineering Beijing China Beijing Institute of Control Engineering System Design Department Beijing China

ISBN: (纸本)9798350326338

For a low-cost micro-nano satellite that uses magnetometer as the core sensor of attitude determination system, a calibration method of relative reference between multiple magnetometer is proposed. The influence of satellite magnetic environment on magnetic field intensity measurement is studied. After considering remanence, induction and installation deviation, an accurate measurement model of magnetometer is proposed. Without introducing other high-performance attitude sensors, the relative relationship between the measurement data of different magnetometer is derived, and a magnetometer relative reference calibration method based on the least square method is proposed. Mathematical simulation shows that the proposed method reduces the relative measurement error of the magnetometer from 2000 nT to 50 nT, and then uses the telemetry data of the satellite in orbit to calibrate several magnetometer of the satellite. After injecting new parameters, the attitude difference of satellites with different magnetometer as the reference decreases from 16 degrees to less than 2 degrees, indicating that the consistency of the magnetometer reference has been significantly improved, which verifies the effectiveness and practicality of the proposed method. © 2023 IEEE.

关键词： Calibration

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research on Trajectory Planning Method Applied to Intersecting Line Smooth Cutting 5

Research on Trajectory Planning Method Applied to Intersecti...

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5th International Conference on Intelligent control, Measurement and Signal Processing, ICMSP 2023

作者： Wang, Zhongyi Zhao, Xingwang Tian, Xincheng School of Control Science and Engineering Center for Robotics Shandong University Jinan China

ISBN: (纸本)9798350336030

The cutting quality of intersecting lines can be affected by cutting model and cutting process. To improve that, this paper builds a round pipe-intersecting cutting model connected by branch pipe internally without groove according to the principle of intersecting, and it uses the smooth transition algorithm for the cutting start point to avoid the generation of cutting gaps. Finally, the model's trajectory planning algorithm is verified through robot simulation experiments. The result shows that this method can improve the cutting quality by the established model and has good significance in reality. © 2023 IEEE.

关键词： Trajectories

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research on Robotic multi-layer multi-pass welding planning of Intersecting pipe 3

Research on Robotic multi-layer multi-pass welding planning ...

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3rd International Conference on control and Intelligent Robotics, ICCIR 2023

作者： Zhao, Xingwang Wang, Zhongyi Tian, Xincheng Center for Robotics School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9781510671867

In the multi-layer multi-pass welding of intersecting pipe fittings, the traditional teaching method is labor-intensive and has low welding accuracy. To weld more intelligently and accurately, this paper proposes a robotic multi-layer multi-pass welding filling strategy, determines the layout points of the weld passes, and plans the pose of the welding torch. In addition, this paper gives the transformation relationship between the welding seam coordinate system and the welding torch coordinate system, and finally simulates the weld passes. © 2023 SPIE.

关键词： Seam welding

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Dynamic emission characteristics and control strategies of air pollutants from motor vehicles in downtown Beijing,China

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Journal of Environmental sciences 2024年第2期136卷 637-646页

作者： Yan Shen Tongran Wu Aiping Lian Jie Gao Fei Peng Guohua Song Xuefang Wu Yangyang Cui Xinyu Liu Yunfei Wan Jing Yan Yifeng Xue National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Eco-Environmental ProtectionBeijing 100037China Beijing Municipal Ecology and Environment Bureau Beijing 100048China Beijing Jiaotong University Beijing 100091China

This study combined the real-time monitoring and investigation of traffic flows to comprehensively analyze the road traffic flow and vehicle structure in downtown Beijing.A dynamic emission inventory of motor vehicle air pollutants in downtown Beijing in 2021 was established,and the impact of these emissions on air quality was simulated and quantified,and different emission reduction control scenarios were proposed to evaluate their environmental improvement effects and explore measures to mitigate the impact of pollution *** results show that the high traffic flow and the structure of the motor vehicle emissions in downtown Beijing are the main causes of severe motor vehicle *** data shows that traffic flow in central Beijing is dominated by small passenger vehicles,while the vehicle mix is better than in other regions,with 72.0%of vehicles meeting"National V"or higher emission ***,to achieve higher air quality goals,further reducing vehicle emissions is *** on dynamic traffic flow,the average daily emissions of nitrogen oxides(NOX),particulate matters(PM_(2.5))and volatile organic compounds(VOC)from motor vehicles in central Beijing are 17.7 tons,0.6 tons and 14.0 tons,respectively,accounting for 23.0%of the city’s average daily motor vehicle *** a zero-emission zone for motor vehicles were implemented in central Beijing,the annual average emission level of pollutants will be reduced by 10.4%to 21.0%.The designation of ultra-low emission zones for motor vehicles could be effective in improving the air quality in the center of Beijing.

关键词： Motor vehicle Air pollutant Emission characteristics control strategy Beijing

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Efficient Real-Time Recognition Model of Plant Diseases for Low-Power Consumption Platform

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第5期5卷 2040-2054页

作者： Deng, Songyun Wu, Wanneng Zou, Kunlin Qin, Hai Cheng, Lekai Liang, Qiaokang Hunan University College of Electrical and Information Engineering Changsha410082 China Changsha University of Science and Technology School of Electrical and Information Engineering Changsha410114 China Hunan University National Engineering Research Center for Robot Vision Perception and Control College of Electrical and Information Engineering Changsha410082 China

Recognition and early warning of plant diseases is one of the keys to agricultural disaster prevention and mitigation. Deep learning-based image recognition methods give us a new idea for plant disease identification. Due to the harsh conditions in agricultural environment, recent research has focused on exploring ways to lightweight the recognition model for deployment on low-power devices. In this article, we propose an efficient and feature-guided real-time plant disease recognition model with a multiclassifier architecture, specifically designed for low-power devices. By comparing with other advanced methods, our model reaches the state of the art in the combined metrics of recognition accuracy, the number of parameters, and inference speed. First, we propose AMI-NanoNet based on Roofline theory to significantly reduce the number of parameters and computational complexity. This model can achieve 99.8343% accuracy on PlantVillage by using a feature-guided curriculum learning with stepwise training strategy. Moreover, we design another training strategy suitable for lightweight ensemble models. Based on this strategy, our model only needs to integrate the classifiers at the end of the network to achieve 99.8708% identification accuracy, and it hardly increases the number of operations and parameters of the network. Extensive evaluations on this dataset demonstrate the effectiveness of our ensemble learning method. Furthermore, we tested our proposed methods on another dataset from other domains to validate its applicability to different scenarios. Overall, our research provides a basis for rapid and intelligent identification of plant diseases. © 2023 IEEE.

关键词： Real time systems

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Cooperative Output Regulation of Heterogeneous Systems over Directed Graphs:A Dynamic Adaptive Event-Triggered Strategy

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Journal of Systems science & Complexity 2023年第3期36卷 909-921页

作者： SU Hang CHENG Bin LI Zhongkui State Key Laboratory for Turbulence and Complex Systems and Department of Mechanics and Engineering Science College of EngineeringPeking UniversityBeijing 100871China Department of Control Science and Engineering College of Electronics and Information EngineeringTongji UniversityShanghai 201804China Frontiers Science Center for Intelligent Autonomous Systems Shanghai 201210China

This paper investigates the cooperative output regulation problem of heterogeneous linear multi-agent systems over directed graphs with the constraint of communication *** that there exists an exosystem whose state information is not available to all agents,the authors develop distributed adaptive event-triggered observers for the followers based on relative information between neighboring *** should be pointed out that,two kinds of time-varying gains are introduced to avoid relying on any global information associated with the network,and dynamic triggering conditions are designed to get rid of continuous *** the basis of the designed observers,the authors devise a local controller for each *** with the existing related works,the main contribution of the current paper is that the cooperative output regulation problem for general directed graphs is solved requiring neither global information nor continuous communications.

关键词： Adaptive control consensus cooperative output regulation directed graph event-triggered control multi-agent systems

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Effects of antibiotics on corncob supported solid-phase denitrification: Denitrification and antibiotics removal performance, mechanism, and antibiotic resistance genes

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Journal of Environmental sciences 2023年第8期130卷 24-36页

作者： Yanjie Zhang Weiyang Dong Congyu Li Haiyan Wang Huan Wang Yu Ling Guokai Yan Yang Chang State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Research Center of Environmental Pollution Control Technology Chinese Research Academy of Environmental ScienceBeijing 100012China

Solid-phase denitrification(SPD)has been used in wastewater treatment plant effluent to enhance nitrate removal,and antibiotics co-existing in the effluent is a common environmental *** this study,it was systematically investigated the effect of single trace sulfamethoxazole(SMX)/trimethoprim(TMP)and theirmixture on microbial denitrification performance,the antibiotics removal,and antibiotics resistance genes(ARGs)in corncob supported SPD *** average denitrification rate was improved by 46.90%or 61.09%with single 50μg/L SMX or TMP,while there was no significant inhibition with mixed SMX and *** abundance of dominant denitrifiers(Comamonadaceae family and Azospia)and fermentation bacteria(Ancalomicrobium)were consistent with the denitrification performance of different antibiotics *** SMX and TMP achieved relatively higher denitrification gene and enzyme *** SMX and TMP improved the denitrification gene copies,but they reduced the key denitrification enzymes except for EC ***,the removal efficiency of TMP(56.70%±3.18%)was higher than that of SMX(25.44%±2.62%)in single antibiotic group,and the existence of other antibiotics(*** or TMP)had no significant impact on the TMP or SMX removal *** was the main removal mechanism of SMX and TMP,while sludge and corncob adsorption contributed a little to their *** had the risk of sulfanilamide resistance genes(SRGs)***,network analysis indicated that Niveibacterium and Bradyrhizobium were the potential hosts of SRGs,which promoted the horizontal transmission of ARGs.

关键词： Solid-phase denitrification(SPD) Sulfamethoxazole (SMX)/trimethoprim(TMP) Microbial community Denitrification genes Antibiotics resistance genes(ARGs)

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The twisted two-dimensional ferroelectrics

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Journal of Semiconductors 2023年第1期44卷 32-42页

作者： Xinhao Zhang Bo Peng National Engineering Research Center of Electromagnetic Radiation Control Materials School of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China Key Laboratory of Multi-spectral Absorbing Materials and Structures of Ministry of Education University of Electronic Science and Technology of ChinaChengdu 611731China

Since the beginning of research on two-dimensional(2D)materials,a few numbers of 2D ferroelectric materials have been predicted or experimentally confirmed,but 2D ferroelectrics as necessary functional materials are greatly important in developing future electronic *** breakthroughs in 2D ferroelectric materials are impressive,and the physical and structural properties of twisted 2D ferroelectrics,a new type of ferroelectric structure by rotating alternating monolayers to form an angle with each other,have attracted widespread interest and ***,we review the latest research on twisted 2D ferroelectrics,including Bernal-stacked bilayer graphene/BN,bilayer boron nitride,and transition metal ***,we prospect the development of twisted 2D ferroelectrics and discuss the challenges and future of 2D ferroelectric materials.

关键词： magic angle multiferroic ferromagnetic electric polarization long-range

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Cybersecurity Landscape on Remote State Estimation:A Comprehensive Review

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 851-865页

作者： Jing Zhou Jun Shang Tongwen Chen the Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 1H9Canada the Department of Control Science and Engineering and Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

Cyber-physical systems(CPSs)have emerged as an essential area of research in the last decade,providing a new paradigm for the integration of computational and physical units in modern control *** state estimation(RSE)is an indispensable functional module of ***,it has been demonstrated that malicious agents can manipulate data packets transmitted through unreliable channels of RSE,leading to severe estimation performance *** paper aims to present an overview of recent advances in cyber-attacks and defensive countermeasures,with a specific focus on integrity attacks against ***,two representative frameworks for the synthesis of optimal deception attacks with various performance metrics and stealthiness constraints are discussed,which provide a deeper insight into the vulnerabilities of ***,a detailed review of typical attack detection and resilient estimation algorithms is included,illustrating the latest defensive measures safeguarding RSE from ***,some prevalent attacks impairing the confidentiality and data availability of RSE are examined from both attackers'and defenders'***,several challenges and open problems are presented to inspire further exploration and future research in this field.

关键词： Cyber-attacks Kalman filtering remote state estimation unreliable transmission channels

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Transfer Learning from Vision Transformer to Parkinson's Disease Offline Handwriting Detection 11

Transfer Learning from Vision Transformer to Parkinson's Dis...

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11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Liang, Huaixin Zhang, Tao Li, Lin Liu, Bo Liu, Bin Shi, Chen Mi, BaoHong School of information science and engineering Yanshan University Physical and Chemical Laboratory Qinhuangdao Center for Disease Control and Prevention Qinhuangdao China School of Information Science and Engineering Yanshan University Qinhuangdao China Qinhuangdao Center for Disease Control and Prevention Qinhuangdao China Quality Control Section Qinhuangdao Center for Disease Control and Prevention Beijing China University of Traditional Chinese Medicine The Third Affiliated Hospital of Beijing Beijing China

ISBN: (纸本)9798331531904

Handwriting has emerged as a crucial method for detecting Parkinson's disease (PD). The use of offline handwriting images eliminates the need for special equipment, making it more adaptable for PD detection. This paper presents a Transfer Learning from Vision Transformer (TLViT) approach for offline handwriting PD detection. Transfer learning addresses the issue of limited sample size in Parkinson's offline handwriting images. Additionally, the multi-head attention module in Vision Transformer allows the network to focus more accurately on changes in handwriting within offline images. To enhance overall model prediction performance, this paper combines these advantages to successfully complete the task of PD detection. Experiments conducted on three handwriting datasets validate the effectiveness of the proposed method. The TLViT method achieves 97.31% accuracy for Spiral tasks in the NewHandPD dataset and an average accuracy of 96.96% across all tasks within that dataset. These results demonstrate that the proposed method improves prediction performance and efficiency compared to existing methods. In conclusion, the TLViT method offers a novel and powerful tool for detecting PD through offline handwriting images.' © 2024 IEEE.

关键词： Neurodegenerative diseases

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