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Chinese Automation Congress (CAC)

作者： Shuo Li Hailong Pei Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems College of Automation Science and Enginneering South China University of Technology Guangzhou China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems School of Automation Science and Enginneering South China University of Technology Guangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In this paper, we examine the predefined time flight control of a quadrotor UAV with output constraints and input saturation. The attitude tracking error of UAV is constrained by the tan-type barrier Lyapunov function. The undesirable effects of the saturated input limitations are addressed by introducing an auxiliary system. Then a predefined time tracking control strategy is designed and the stability of the scheme is analyzed. Eventually, the simulation results show the method allows the angular tracking error to converge to the specified range in a predefined time.

关键词： Backstepping Automation Attitude control Simulation Autonomous aerial vehicles Stability analysis Quadrotors Lyapunov methods

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Reliability Improvement Method for Precision Micro and Special Motors Based on Response Surface Methodology

Reliability Improvement Method for Precision Micro and Speci...

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International Conference on Reliability, Maintainability and Safety,ICRMS

作者： Hongwu Xu Liping Fu Gang Xiang Yu Peng Weidi Pan Heyuan Wu Aerospace Product Engineering Research Institute China Academy of Aerospace Standardization and Product Assurance Beijing China China Aerospace Science and Technology Corporation Beijing China National Key Lab on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute Beijing China Engineering Technology Department Guizhou Aerospace Linquan Motor Control Ltd. GuiYang China

ISBN: (数字)9798350329988

ISBN: (纸本)9798350329995

Currently, precision micro and special motors are essential basic products in the industry. They are key components widely used in platforms such as aerospace, aircraft, automobiles, and unmanned intelligence. This paper proposes a reliability improvement method for precision micro and special motors based on a response surface methodology. Firstly, we identify key design parameters that affect motor performance through sensitivity analysis methods. Then, the key design parameters are evenly divided into a $5\times 5$ matrix. We conduct 100 Monte Carlo simulation analyses per group and obtain the probability density function of motor speed. Finally, a response surface functional relationship between reliability and key design parameters is established. The values of key design parameters corresponding to the maximum reliability are calculated and used to improve the reliability of the motor.

关键词： Industries Analytical models Monte Carlo methods Sensitivity analysis Probability density function Motors Reliability engineering Response surface methodology Safety Automobiles

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Breakdown of effective-medium theory by a photonic spin Hall effect

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Science China(Physics,Mechanics & Astronomy) 2023年第11期66卷 145-154页

作者： Shuaijie Yuan Xinxing Zhou Yu Chen Yuhan Zhong Lijuan Sheng Hao Hu Hongsheng Chen Ido Kaminer Xiao Lin Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and ApplicationsSchool of Physics and ElectronicsHunan Normal UniversityChangsha410081China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong ProvinceInstitute of Microscale OptoelectronicsShenzhen UniversityShenzhen518060China Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and InstrumentationZJU-Hangzhou Global Scientific and Technological Innovation CenterZhejiang UniversityHangzhou310027China International Joint Innovation Center Electromagnetics Academy at Zhejiang UniversityZhejiang UniversityHaining314400China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore639798Singapore Key Laboratory of Radar Imaging and Microwave Photonics Ministry of EducationCollege of Electronic and Information EngineeringNanjing University of Aeronautics and AstronauticsNanjing211106China Key Laboratory of Advanced Micro/Nano Electronic Devices&Smart Systems of Zhejiang Jinhua Institute of Zhejiang UniversityZhejiang UniversityJinhua321099China Shaoxing Institute of Zhejiang University Zhejiang UniversityShaoxing312000China Department of Electrical Engineering Technion-Israel Institute of TechnologyHaifa32000Israel

Effective-medium theory pertains to the theoretical modelling of homogenization,which aims to replace an inhomogeneous structure of subwavelength-scale constituents with a homogeneous effective *** effective-medium theory is fundamental to various realms,including electromagnetics and material science,since it can largely decrease the complexity in the exploration of light-matter interactions by providing simple acceptable ***,the effective-medium theory is thought to be applicable to any all-dielectric system with deep-subwavelength constituents,under the condition that the effective medium does not have a critical angle,at which the total internal reflection *** we reveal a fundamental breakdown of the effective-medium theory that can be applied in very general conditions:showing it for deep-subwavelength all-dielectric multilayers even without a critical *** finding relies on an exotic photonic spin Hall effect,which is shown to be ultrasensitive to the stacking order of deep-subwavelength dielectric layers,since the spin-orbit interaction of light is dependent on slight phase accumulations during the wave *** results indicate that the photonic spin Hall effect could provide a promising and powerful tool for measuring structural defects for all-dielectric systems even in the extreme nanometer scale.

关键词： photonic spin Hall effect effective-medium theory spin-orbit interaction of light

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Study on Removal of PCDD/Fs from Flue Gas Processed by Pulse Corona Discharge Composite technology

Study on Removal of PCDD/Fs from Flue Gas Processed by Pulse...

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China International Electrical and Energy Conference (CIEEC)

作者： Lingang Weng Keji Qi Licheng Zheng Anfei Luo Yun Liu Jianjun Zhu Fangzhi Zhou Zhejiang Doway Advanced Technology Co. Ltd Hangzhou China Zhejiang Engineering Research Center of Odor Control Hangzhou China

In this study, the pulse corona discharge composite technology is used to treat flue gas. The pulse corona discharge technology is the main technology, and the bag filter and activated carbon adsorption are the auxiliary processes. The pulse corona discharge adopts the nanosecond narrow pulse power supply to achieve the intense pulse electric field, the electric field intensity is adjustable, and the multi-level discharge ionization superposition is used to remove the dioxins (PCDD/Fs) in the flue gas step by step. Under the given electric field intensity, PCDD/Fs in flue gas will undergo material dissociation and free radical oxidation reaction. With the increase of electric field intensity, the removal efficiency of PCDD/Fs will be increased gradually, and the maximum comprehensive removal efficiency of more than 97% can be achieved. This study shows that the efficient removal of PCDD/Fs in incineration flue gas without secondary pollution can be successfully achieved via the pulsed corona discharge composite technology proposed, and this technology can also be extended to the removal of PCDD/Fs in similar flue gas. This study provides effective theoretical basis for the large-scale promotion and application of this technology.

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Robotic Improved Micropipette Aspiration Method for Accurate Measurement of Cellular Mechanical Properties

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Liu, Mengya Li, Minghui Qiu, Jinyu Li, Ruimin Fu, Shaojie Zhang, Detian Zhao, Xin Zhao, Qili China Ministry of Education Nankai University Engineering Research Center of Trusted Behavior Intelligence China Shenzhen Research Institute of Nankai University Institute of Intelligence Technology and Robotic Systems China Nankai University National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases China

For the first time, an improved robotic micropipette aspiration (MA) method considering the effects of the intra-cellular pressure, friction between cell and micropipette, and the micropipette opening size was proposed for improving the measurement accuracy of the cell elasticity properties in this paper. First, an elastic energy model of the aspirated cell was established to analyze the effects of intracellular pressure on MA results. Then a force analysis of MA process was conducted to evaluate the influences of the friction force between the cell surface and micropipette opening as well as the inner diameter of the micropipette opening to MA results. Based on the above work, an improved robotic MA process was developed for reducing the cell elasticity measurement errors through automated release of intracellular pressure, micropipette opening polishing and inner diameter control of the micropipette. The effectiveness of the above work was validated by both finite elemental model (FEM) and MA experiments. The MA results on porcine oocytes demonstrate that our proposed MA method can rectify the 20.11%, 35.08% and 6.80% measure errors of cell Young’s modulus caused by the above three factors, respectively. Our research may provide a more objective evaluation of cell mechanical properties in the related research. © 1963-2012 IEEE.

关键词： Velocity measurement

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Establishment of soil moisture model based on hyperspectral data and growth parameters of winter wheat

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International Journal of Agricultural and Biological engineering 2023年第3期16卷 160-168页

作者： Xizhi Lyu Weimin Xing Yuguo Han Zhigong Peng Baozhong Zhang Muhammad Roman Key Laboratory of State Forestry Administration on Soil and Water Conservation College of Soil and Water ConservationBeijing Forestry UniversityBeijing 100083China Yellow River Institute of Hydraulic Research Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water ResourcesZhengzhou 450003China College of Hydraulic Science and Engineering Yangzhou UniversityYangzhou 225009China Forest Ecosystem Studies National Observation and Research StationJixianShanxi 042200China Key Laboratory of Non-point Source Pollution Control Ministry of Agriculture and Rural AffairsBeijing 100081China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China National Center of Efficient Irrigation Engineering and Technology Research-Beijing Beijing 100048China

Large area of soil moisture status diagnosis based on plant canopy spectral data remains one of the hot spots of agricultural ***,the existing soil water prediction model constructed by the spectral parameters without considering the plant growth process will inevitably increase the prediction *** study carried out research on the correlations among spectral parameters of the canopy of winter wheat,crop growth process,and soil water content,and finally constructed the soil water content prediction model with the growth days *** results showed that the plant water content of winter wheat tended to decrease during the whole growth *** plant water content had the best correlations with the soil water content of the 0-50 cm soil *** different growth stages,even if the soil water content was the same,the plant water content and characteristic spectral reflectance were also ***,the crop growing days parameter was added to the model established by the relationships between characteristic spectral parameters and soil water content to increase the prediction *** is found that the determination coefficient(R^(2))of the models built during the whole growth period was greatly increased,ranging from 0.54 to ***,the model built by OSAVI(Optimized Soil Adjusted Vegetation Index)and Rg/Rr,two of the highest precision characteristic spectral parameters,were selected for model *** correlation between OSAVI and soil water content,Rg/Rr,and soil water content were still significant(p<0.05).The R^(2),MAE,and RMSE validation models were 0.53 and 0.58,3.19 and 2.97,4.76 and 4.41,respectively,which was accurate enough to be applied in a large-area ***,the upper and lower irrigation limit of OSAVI and Rg/Rr were put *** research results could guide the agricultural production of winter wheat in northern China.

关键词： winter wheat canopy spectra growth process soil water content irrigation threshold soil moisture model prediction

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Impact Factors and Safety Analysis of Takeover Behavior in Remote control of Maritime Autonomous Surface Ships

Impact Factors and Safety Analysis of Takeover Behavior in R...

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International Conference on Transportation Information and Safety (ICTIS)

作者： Guanglin Chen Chen Li Jialun Liu Nan Lin Xinjue Hu State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan China National Engineering Research Center for Water Transport Safety Wuhan China

With the development and application of artificial intelligence, advanced control theory, mobile communication, and IoT technologies, the Maritime Autonomous Surface Ship (MASS) has gradually entered the development characteristics period of remote control (Level 2). Based on the review of development dynamics and application cases of the remote-controlled ship in recent years, it analyzes the impact factors of operator takeover behaviors from three aspects: network communication, system control performance, and traffic scenarios, it proposed a new development direction of the remote-controlled ship, which could provide theoretical support for scholars in related fields.

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ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction

ADMEOOD: Out-of-Distribution Benchmark for Drug Property Pre...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Wei, Shuoying Li, Songquan Guo, Yifei Zhu, Lida Wen, Xinlong Zhu, Rongbo College of Informatics Huazhong Agricultural University Wuhan430070 China Shenzhen Institute of Nutrition and Health Huazhong Agricultural University Shenzhen518000 China Shenzhen Branch Guangdong Laboratory for Lingnan Modern Agriculture Genome Analysis Laboratory of the Ministry of Agriculture Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen518000 China Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Hubei Wuhan430074 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China

ISBN: (纸本)9798350337488

Obtaining accurate and effective information for drug molecules is a crucial and challenging task, which relies on high-quality chemical knowledge. However, chemical knowledge has been accumulated over the past 100 years from various regions, laboratories, and experimental purposes, which contains a lot of noise and inconsistency, leading to the out-of-distribution (OOD) problem. OOD may results in weak robustness and unsatisfied performance. In order to solve OOD learning problem with noise, a novel benchmark: ADMEOOD is proposed, which is a systematic OOD dataset curator and specifically designed for drug property prediction. ADMEOOD screens 27 Absorption, Distribution, Metabolism and Excretion (ADME) drug properties from Chembl and relevant literature. This paper explicitly make distinctions between two kinds of OOD data shifts: Noise Shift and Concept Conflict Drift (CCD). Overall, ADME contains 6 domain annotations combined with noise, CCD and no shifts, resulting in 18 different splits in total. ADMEOOD provides performance results on a variety of SOTA OOD models. The results demonstrate a significant difference performance between in-distribution and OOD data. Moreover, Empirical Risk Minimization and other models exhibit distinct trends in different domains and measurement types. The ADMEOOD benchmark can be accessed via https://***/qweasdzxc-wsy/ADMEOOD/. © 2023 IEEE.

关键词： ADME Benchmark Drug property prediction Out-of-distribution

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Optimal control method of heterogeneous vehicle traffic flow under Connected Vehicle environment

Optimal control method of heterogeneous vehicle traffic flow...

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International Conference on Transportation Information and Safety (ICTIS)

作者： Xi-Yao Li Shichao Nie Xiaohan Zhou Hongmei Zhou Shaopeng Zhong National Intelligent Transport Systems Center of Engineering and Technology Research Institute of Highway Ministry of Transport Beijing China School of Transportation and Logistics Dalian University of Technology Dalian China

With the introduction of intelligent connected vehicles (CVs), the mixed traffic of heterogeneous motor vehicles (including human-driven vehicles (HVs) without networking capabilities and intelligent CVs with networking capabilities) may have negative impacts on the transportation system, and the control and guidance of traffic flow for different types of motor vehicles become more complex. Considering the behavioral differences and information acquisition differences among individual vehicles of different types, an optimal control method for heterogeneous motor vehicle traffic flow based on the user equilibrium (UE) model and Bayesian optimization (BO) algorithm is proposed. Firstly, initial traffic volume is assigned to the network based on the UE model, then a Bayesian optimization model is built using the Gaussian process probability surrogate model and acquisition function to optimize the control strategy of CVs for the improvement of heterogeneous traffic flow. The effectiveness of the proposed method is verified using the classic Nguyen-Dupuis network, which demonstrates its good solving efficiency and significant optimization effect.

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AFPN Based YOLOX for Rotation Object Detection in Remote Sensing Image

AFPN Based YOLOX for Rotation Object Detection in Remote Sen...

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Chinese Automation Congress (CAC)

作者： Wen Zhou Xiaobo Liu Yiting Zheng Dongsen Zhang Hongbo Xiang School of Automation China University of Geosciences Wuhan China Hubei Key Lab of Advanced Control and Intelligent Automation China University of Geosciences Wuhan China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of Geosciences Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Rotation Object Detection in Remote Sensing Image is a big challenge, as it has different sizes and orientations. In this paper, we proposed an AFPN and YOLOX based Rotation Object Detection method, named AFPN-RYOLOX. In the AFPN-RYOLOX, an angle prediction branch added into the detection head of YOLOX and revised the loss function to incorporate Kullback-Leibler Divergence (KLD) loss firstly, which enhanced loss continuity and ensuring scale invariance. Then, the Asymptotic Feature Pyramid Network (AFPN) is integrated in the neck layer of YOLOX, which boosts the network's capability to extract features and decreases the number of model parameters through a dual-phase adaptive spatial fusion process. Through compare with other SOTA method, the proposed AFPN-RYOLOX achieved superior performances on DOTA and HRSC2016 datasets.

关键词： Adaptation models Head Automation Noise Object detection Feature extraction Prediction algorithms Neck Sensors Remote sensing

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