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13th International Conference on Information technology in Medicine and Education, ITME 2023

作者： Zhao, Tingting Li, Zuoyong Quan, Li Zeng, Kun Teng, Shenghua College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao266590 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China College of Computer Science and Big Data Fuzhou University Fuzhou350121 China

ISBN: (纸本)9798350319156

The accuracy of kernel estimation is critical to the performance of blind super-resolution (SR). Traditional kernel estimation methods usually use L1 or L2 loss function to minimize the difference between the estimated kernel and the ground-truth kernel. This tends to make the estimated kernel converge towards the average of all possible kernels, deviating from the ground-truth kernel. To improve the performance of kernel estimation, this paper proposes an uncertainty loss for training a kernel estimation network, focusing on regions with high uncertainty (variance) in the kernel. In addition, a texture-aware SR network is proposed that utilizes the Gumbel Softmax trick to pay more attention to the complex regions of the image texture, thus improving the SR performance. Extensive experiments on synthetic datasets show that our approach achieves promising performance. © 2023 IEEE.

关键词： Textures

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RGB-D SLAM with moving object tracking in dynamic environments

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IET Cyber-Systems and Robotics 2021年第4期3卷 281-291页

作者： Weichen Dai Yu Zhang Yuxin Zheng Donglei Sun Ping Li State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina Centre for English Language Education University of Nottingham Ningbo ChinaNingboChina

Simultaneous localization and mapping methods are fundamental to many robotic *** dynamic environments,SLAM methods focus on eliminating the influence of moving objects to construct a static map since they assume a static *** improve localization robustness in dynamic environments,an RGB-D SLAM method is proposed to build a complete 3D map containing both static and dynamic maps,the latter of which consists of the trajectories and points of the moving *** any prior knowledge of the moving targets,the proposed method uses only the correlation between map points to discriminate between the static scene and the moving *** the static points are determined,camera motion estimation is performed only on reliable static map points to eliminate the influence of moving *** motion of the moving objects will then be estimated with the obtained camera motion by tracking their dynamic points in subsequent ***,multiple groups of dynamic points that belong to the same moving object are fused by a volume overlap checking *** results are presented to demonstrate the feasibility and performance of the proposed method.

关键词： dynamic moving environments

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Interval Weight State Update Approach with Deep Reinforcement Learning for Dynamic Load Change Tasks in Air Separation Processes

Interval Weight State Update Approach with Deep Reinforcemen...

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Data Driven control and Learning Systems (DDCLS)

作者： Ruiyu Qiu Guanghui Yang Zuhua Xu Zhijiang Shao State Key Lab of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou P. R. China HuZhou Research Institute of Industrial Control Technology

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

The air separation unit (ASU) is important for producing high-purity oxygen, nitrogen, and argon, and dynamic load change operation helps meet the needs of downstream industries. The ASU has an extremely long delay, and the requirements for this operation are strict, and model predictive control (MPC) is usually used for this task. However, the burden of online MPC computation is a key issue in improving production and economic efficiency. In this paper, a framework based on Reinforcement Learning (RL) is proposed to solve the long-delayed task in ASU. The state and reward function are specially designed for this task. First, training increases the sampling time of the original model to create a low resolution environment, which makes training more efficient. As a sacrifice, the control precision is reduced in the original high resolution environment. Then, an algorithm called Interval Weighted State Update (IWSU) is proposed to restore the agent and keeps the action accuracy in the original environment. The dynamic load change task works as the case in this paper. The performance of RL is compared with that of MPC, and results show that RL is almost exactly the same as MPC in key flow indicators, and can well meet the remaining content and purity range requirements. IWSU shows good performance compared with directly applying the agent to the original high resolution environment.

关键词： Training Target tracking Switches Production control systems Separation processes Nitrogen

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Impact of aerosol-radiation interaction and heterogeneous chemistry on the winter decreasing PM_(2.5)and increasing O_(3)in Eastern China 2014–2020

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Journal of Environmental sciences 2025年第5期151卷 469-483页

作者： Yasong Li Tijian Wang Qin’geng Wang Mengmeng Li Yawei Qu Hao Wu Min Xie School of the Environment Nanjing UniversityNanjing 210023China School of Atmospheric Sciences Nanjing UniversityNanjing 210023China College of Intelligent Science and Control Engineering Jinling Institute of TechnologyNanjing 211169China Key Laboratory of Transportation Meteorology of China Meteorological Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210041China School of Environment Nanjing Normal UniversityNanjing 210023China

In the context of the prevalent winter air quality issues in China marked by declining PM_(2.5)and rising O_(3),this study employed amodified WRF-Chem model to examine the aerosol radiation interaction(ARI),heterogeneous chemistry(AHC),and their combined impact(ALL)on the variations in O_(3)and PM_(2.5)during the 2014–2020 in eastern *** analysis confirmed that ARI curtailed O_(3)while elevating PM_(2.5).AHC reduced O_(3)through heterogeneous absorption of NOx and hydroxideswhile notably fostering fine-grained sulfate,resulting in a PM_(2.5)*** reductions mitigated the inhibitory impact of ARI on meteorological fields and photolysis *** reduction individually without aerosol feedback led to a 5.43 ppb O_(3)increase and a 22.89μg/m^(3)PM_(2.5)*** and AHC amplified the emission-reduction-induced(ERI)O_(3)rise by 1.83 and 0.31 ppb,*** response of ARI to emission diminution brought about a modest PM_(2.5)increase of 0.31μg/m^(3).Conversely,AHC,acting as the primary contributor,caused a noteworthy PM_(2.5)decrease of 4.60μg/m^(3).As efforts concentrate on reducing PM_(2.5),the promotion of ARI on PM_(2.5)counterbalanced the efficacy of emission reduction and the AHC-induced strengthening of PM_(2.5)*** ALL magnified the ERI O_(3)increase by 38.9%and PM_(2.5)decrease by 18.7%.Sensitivity experiments with different degrees of emission reduction demonstrated a consistent linear relationship between the ALL-induced enhancement of O_(3)increase and PM_(2.5)decrease to the ERI PM_(2.5)*** investigation revealed the complex connection between emissions and aerosol feedback in influencing air quality.

关键词： Aerosol-radiation interaction Heterogeneous chemistry O_(3)increase PM_(2.5)decrease Emission reduction

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Direct Regeneration of Spent Lithium-Ion Battery Cathodes:From Theoretical Study to Production Practice

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Nano-Micro Letters 2024年第10期16卷 304-336页

作者： Meiting Huang Mei Wang Liming Yang Zhihao Wang Haoxuan Yu Kechun Chen Fei Han Liang Chen Chenxi Xu Lihua Wang Penghui Shao Xubiao Luo National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063People's Republic of China Key Laboratory of Hunan Province for Advanced Carbon-based Functional Materials School of Chemistry and Chemical EngineeringHunan Institute of Science and TechnologyYueyang 414006People's Republic of China College of Materials Science and Engineering Central South University of Forestry and TechnologyChangsha 410004People's Republic of China School of Life Science Jinggangshan UniversityJi'an 343009People's Republic of China

Direct regeneration method has been widely concerned by researchers in the field of battery recycling because of its advantages of in situ regeneration,short process and less pollutant *** this review,we firstly analyze the primary causes for the failure of three representative battery cathodes(lithium iron phosphate,layered lithium transition metal oxide and lithium cobalt oxide),targeting at illustrating their underlying regeneration mecha-nism and *** stripping of material from the collector to obtain pure cathode material has become a first challenge in recycling,for which we report several pretreatment methods currently available for subsequent regeneration *** review and discuss emphatically the research progress of five direct regeneration methods,including solid-state sintering,hydrothermal,eutectic molten salt,electrochemical and chemical lithiation ***,the application of direct regeneration technology in production practice is introduced,the problems exposed at the early stage of the industrialization of direct regeneration technol-ogy are revealed,and the prospect of future large-scale commercial production is *** is hoped that this review will give readers a comprehensive and basic understanding of direct regeneration methods for used lithium-ion batteries and promote the industrial application of direct regeneration technology.

关键词： Spent LIBs Failure reasons Cathode recycling Direct regeneration Production practice

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Generalized-Extended-State-Observer and Equivalent-Input-Disturbance Methods for Active Disturbance Rejection: Deep Observation and Comparison

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 957-968页

作者： Jinhua She Kou Miyamoto Qing-Long Han Min Wu Hiroshi Hashimoto Qing-Guo Wang School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan K.Miyamoto is with the Institute of Technology Shimizu CorporationKotoTokyo 135-0044Japan School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China School of Industrial Technology Advanced Institute of Industrial TechnologyTokyo 140-0011Japan Institute of Artificial Intelligence and Future Networks Beijing Normal UniversityZhuhai 519087 Guangdong Key Lab of AI and Multi-Modal Data Processing Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science BNUHKBU United International College Zhuhai 519087China

Active disturbance-rejection methods are effective in estimating and rejecting disturbances in both transient and steady-state *** paper presents a deep observation on and a comparison between two of those methods:the generalized extended-state observer(GESO)and the equivalent input disturbance(EID)from assumptions,system configurations,stability conditions,system design,disturbance-rejection performance,and extensibility.A time-domain index is introduced to assess the disturbance-rejection performance.A detailed observation of disturbance-suppression mechanisms reveals the superiority of the EID approach over the GESO method.A comparison between these two methods shows that assumptions on disturbances are more practical and the adjustment of disturbance-rejection performance is easier for the EID approach than for the GESO method.

关键词： Active disturbance-rejection control(ADRC) disturbance observer(DOB) equivalent input disturbance(EID) extendedstate observer(ESO) generalized extended-state observer(GESO)

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Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 74-87页

作者： Bogang Qu Zidong Wang Bo Shen Hongli Dong Hongjian Liu the College of Automation Engineering Shanghai University of Electric PowerShanghai 200090China IEEE the Department of Computer Science Brunel University LondonUxbridgeMiddiesex UB83PHUK the College of Information Science and Technology Donghua UniversityShanghai 200051 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast PetroleumDaqing 163318 the Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China the Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 2410000 the School of Mathematics and Physics Anhui Polytechnic UniversityWuhu 241000China

This paper investigates the anomaly-resistant decentralized state estimation(SE) problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines. Two classes of measurements(i.e., local measurements and edge measurements) are obtained, respectively, from the individual area and the transmission lines. A decentralized state estimator, whose performance is resistant against measurement with anomalies, is designed based on the minimum error entropy with fiducial points(MEEF) criterion. Specifically, 1) An augmented model, which incorporates the local prediction and local measurement, is developed by resorting to the unscented transformation approach and the statistical linearization approach;2) Using the augmented model, an MEEF-based cost function is designed that reflects the local prediction errors of the state and the measurement;and 3) The local estimate is first obtained by minimizing the MEEF-based cost function through a fixed-point iteration and then updated by using the edge measuring information. Finally, simulation experiments with three scenarios are carried out on the IEEE 14-bus system to illustrate the validity of the proposed anomaly-resistant decentralized SE scheme.

关键词： Decentralized state estimation(SE) measurements with anomalies minimum error entropy unscented Kalman filter wide-area power systems

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Thermal decomposition kinetics and mechanism investigation of cumene hydroperoxide under inert gas: A novel experimental method

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Process Safety and Environmental Protection 2023年 172卷 408-416页

作者： Yu, Chang-Fei Liu, Shang-Hao Yuan, Liang Wei, Dan-Dan Key Laboratory of Industrial Dust Control and Occupational Health Ministry of Education Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China Department of Chemical and Materials Engineering National Yunlin University Science and Technology 123 University Rd. Sec. 3 DouliouYunlin64002 Taiwan State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China Coal Mining National Engineering Technology Research Institute 168 Taifeng Street HuainanAnhui232001 China School of Safety Science and Engineering Anhui University of Science and Technology 168 Taifeng Street HuainanAnhui232001 China

Organic peroxides, due to temperature manipulation failure and/or manner disturbances, had been probable to lead to the prevalence of runaway phenomena, even fire, and explosion. Cumene hydroperoxide (CHP), is a traditional liquid organic peroxide for industrial purposes and is applied as a free radical initiator for polymerization reactions in the petrochemical industry. Its utilization in the industrial processes had certain potential safety hazards. In this work, linearly ramped thermal decomposition in CHP was performed using differential scanning calorimetry under a nitrogen atmosphere. Kinetic analysis is made using data from the ramped measurements with two integral strategies (Flynn-Wall-Ozawa and Kissinger-Akahira-Sunose). The gaseous products of thermal decomposition in CHP are investigated via thermal gravimetric evaluation coupled with Fourier transform infrared spectroscopy and gas chromatography/mass spectrometry. Combined with the experimental results, the possible decomposition path of CHP is discussed. This makes up the gap of unclear decomposition mechanism of CHP in inert atmosphere, and has important reference significance for its industrial production and application. © 2023

关键词： Thermolysis

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Establishment of a mouse model of respiratory mycoplasma challenged intranasally combined intraperitoneally eliciting chronic inflammation and lung consolidation

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Genes & Diseases 2025年第1期12卷 97-101页

作者： Xing Xie Yuan Gan Maoda Pang Lei Zhang Fei Hao Yanna Wei Yi Chen Rong Chen Zhenzhen Zhang Qingyun Xie Daesub Song Guoqing Shao Maojun Liu Qiyan Xiong Zhixin Feng Key Laboratory for Veterinary Bio-Product Engineering Ministry of Agriculture and Rural AffairsInstitute of Veterinary MedicineJiangsu Academy of Agricultural SciencesNanjingJiangsu 210014China Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base Ministry of Science and TechnologyNanjingJiangsu 210014China GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals TaizhouJiangsu 225300China Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality Key Laboratory of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding BaseInstitute of Food Safety and NutritionJiangsu Academy of Agricultural SciencesNanjingJiangsu 210014China College of Veterinary Medicine Xinjiang Agricultural UniversityUrumqiXinjiang 830052China College of Veterinary Medicine Seoul National UniversitySeoul 08826South Korea

Mycoplasma hyopneumoniae(Mhp)and Mycoplasma ovipneumoniae(Mo),similar to Mycoplasma pneumoniae(Mp),initiate a chronic respiratory infection with concomitant pulmonary disease,causing substantial harm worldwide.1 A mouse model with genetic consistency helped to elucidate the unknown pathogenic mechanism of respiratory mycoplasmas in large animals and *** the intraperitoneal route would facilitate dissemination of infectious agents to the adventitia,combined challenge or immunization would promote replication of microorganisms or vaccine immune effects;for example,intraperitoneal combined intranasal route increased gamma interferonspecific CD8 T cells by more than 60 times after influenza infection.

关键词： nasal peritoneal respiratory

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Self-Contrastive Learning Fault Diagnosis Network for Signal Imaging: A Case Study

Self-Contrastive Learning Fault Diagnosis Network for Signal...

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Chinese Automation Congress (CAC)

作者： Wenbin He Jianxu Mao Yaonan Wang Zhe Li Feng Yan Kexin Liu College of Electrical & Information Engineering and National Engineering Research Center of Robot Visual Perception & Control Technology Hunan University Hunan China College of Control Science & Engineering and State Key Laboratory of Industrial Control Technology Zhejiang University Zhejiang China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

The deep convolution method based on MSDP signal imaging has been proven to be an effective means of monitoring the robot grinding process. This method has very high requirements on the quality of imaging and requires a lot of computing resources. This paper proposes an image self-contrastive learning network that can effectively extract fault information from low-pixel fuzzy images and achieve efficient and accurate condition monitoring. The network first calculates the correlation distance matrix between two identical modified symmetrized dot pattern (MSDP) images and uses the generated similarity labels to calculate the contrast loss to extract the embedded features of the image. Finally, the classification network is trained using the cross entropy loss to achieve the classification of fault images. The method was verified on a robotic grinding platform to significantly reduce the calculation time while maintaining the recognition accuracy, which provides reliable technical support for the real-time monitoring of the robotic grinding process.

关键词： Fault diagnosis Vibrations Accuracy Image recognition Imaging Feature extraction Real-time systems Robots Monitoring Image classification

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