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Epidemiological Characteristics of Measles-Mumps-Rubella in China’s Mainland during 2014-2021

Biomedical and Environmental Sciences 2024年第11期37卷 1273-1282页

作者： Zhuowei Li Lele Deng Jiandong Li Xiang Ren Guangxue He National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Division of Infectious Disease Key Laboratory of Surveillance and Early-Warning on Infectious DiseaseChinese Center for Disease Control and PreventionBeijing 102206China School of Public Health Binzhon Medical UniversityYantai 264000ShandongChina

Objective To analyze the epidemiological characteristics of measles,mumps,and rubella(MMR)between 2014 and 2021 and identify potential strategies and measures for the prevention and control of MMR in *** Data on MMR was obtained from China’s National Notifiable Disease Reporting System for the period from 2014 to *** distributions were analyzed using SaTScan;temporal trends were analyzed using JoinPoint;and clusters were visualized using *** A total of 1,808,067 cases of MMR were reported from 2014 to 2021 in China’s mainland,most of which were children and students under the age of *** incidence of measles declined during 2014-2021,whereas that of mumps and rubella peaked in ***-reported cases generally peaked from March to July;however,high numbers of mumps cases were reported from September to November in *** and rubella clusters predominantly occurred in Western China,whereas clusters of mumps were generally found in the southern *** The relatively heterogeneous epidemiological characteristics of MMR have highlighted the weaknesses and gaps in surveillance and timely control of MMR transmission in China’s ***-time and intelligent monitoring data should be collected for evidence-based early interventions。

关键词： Measles Mumps Rubella Epidemiological characteristics Spatiotemporal analysis

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Research on synchronization control of 5-dimensional hyperchaotic systems and its application in image encryption 5

Research on synchronization control of 5-dimensional hyperch...

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5th International Conference on Frontiers Technology of Information and Computer, ICFTIC 2023

作者： Ouyang, Sujian Sun, Yuan Zeng, Huiquan Wang, Qinan Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering & Automation Xiamen China Xiamen University of Technology School of Electrical Engineering & Automation Xiamen China

ISBN: (纸本)9798350309034

In the information age, advances in decryption technology have made it easier for image information to be stolen, tampered with, and subjected to other malicious actions during the information transmission process. In this study, a hyperchaotic time series based on fuzzy brain emotional learning controller is proposed to realize synchronizttion, and the chaotic masking technology is applied to encrypt and decrypt the image. Simulation results demonstrate that the FBEL controller can attain a high level of synchronization accuracy for the hyperchaotic system. Meanwhile, security test of encrypted images is carried out through distribution histogram, correlation coefficient analysis of adjacent pixels, ciphertext information entropy analysis, etc. Theoretical analysis and simulation results demonstrate that, in comparison to traditional image encryption technology, this approach offers superior security performance and fulfills the requirements of secure communication. © 2023 IEEE.

关键词： Chaotic synchronization Image encryption Secure communication

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Graphene binding on black phosphorus enables high on/off ratios and mobility

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National Science Review 2024年第2期11卷 188-195页

作者： Fanrong Lin Zhonghan Cao Feiping Xiao Jiawei Liu Jiabin Qiao Minmin Xue Zhili Hu Ying Liu Huan Lu Zhuhua Zhang Jens Martin Qingjun Tong Wanlin Guo Yanpeng Liu Key Laboratory for Intelligent Nano Materials and Devices of Ministry of Education State Key Laboratory of Mechanics and Control of Mechanical Structures and Institute for Frontier Science Nanjing University of Aeronautics and Astronautics Centre for Advanced 2D Materials National University of Singapore School of Physics and Electronics Hunan University Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and MeasurementSchool of PhysicsBeijing Institute of Technology Leibniz Institute für Kristallzüchtung

Graphene is one of the most promising candidates for integrated circuits due to its robustness against short-channel effects, inherent high carrier mobility and desired gapless nature for Ohmic contact, but it is difficult to achieve satisfactory on/off ratios even at the expense of its carrier mobility, limiting its device applications. Here, we present a strategy to realize high back-gate switching ratios in a graphene monolayer with well-maintained high mobility by forming a vertical heterostructure with a black phosphorus multi-layer. By local current annealing, strain is introduced within an established area of the graphene, which forms a reflective interface with the rest of the strain-free area and thus generates a robust off-state via local current depletion. Applying a positive back-gate voltage to the heterostructure can keep the black phosphorus insulating, while a negative back-gate voltage changes the black phosphorus to be conductive because of hole accumulation. Then, a parallel channel is activated within the strain-free graphene area by edge-contacted electrodes, thereby largely inheriting the intrinsic carrier mobility of graphene in the on-state. As a result, the device can provide an on/off voltage ratio of >10～3 as well as a mobility of ～8000 cm2V-1s-1at room temperature, meeting the low-power criterion suggested by the International Roadmap for Devices and Systems.

关键词： graphene on/off ratio mobility black phosphorus reflective interface

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Dissolved oxygen concentration control in wastewater treatment process based on reinforcement learning

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Science China(Technological Sciences) 2023年第9期66卷 2549-2560页

作者： DU ShengLi CHEN PeiXi HAN HongGui QIAO JunFei School of Artificial Intelligence and Automation Beijing University of TechnologyBeijing 100124China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of EducationBeijing 100124China Beijing Laboratory of Smart Environmental Protection Beijing 100124China

In this article, the dissolved oxygen(DO) concentration control problem in wastewater treatment process(WWTP) is *** existing control strategies that control DO concentration at a fixed value, here we develop a different control *** the proposed control framework, an intelligent control method of DO concentration based on reinforcement learning(RL)algorithm is presented to resolve the DO concentration control problem. By using the deep deterministic policy gradient(DDPG)algorithm, the DO concentration of the fifth tank in the activated sludge reactor can be adjusted dynamically. In addition, by designing two different reward functions and by analysing the relationships among effluent quality, energy consumption, and DO concentration, the target of energy-saving and emission-reducing is achieved. The simulation results indicate that the designed control method can reduce energy consumption while ensuring that the effluent quality meet the specified standards.

关键词： dissolved oxygen concentration wastewater treatment process intelligent control reinforcement learning energy-saving and emission-reducing

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Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph

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Science China(Information Sciences) 2022年第3期65卷 110-122页

作者： Dong WANG Zhu WANG Zhaojing WU Wei WANG Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology School of Control Science and Engineering Dalian University of Technology School of Mathematics and Informational Science Yantai University

In this paper, we investigate the distributed convex optimization problem for a class of nonlinear multi-agent systems disturbed by random noise over a directed graph. The target problem involves designing a continuous-time algorithm to minimize the sum of all local cost functions associated with each agent. The target noise is considered as a second-order stationary process under mild assumptions. The noise-to-state exponential stability for the multi-agent system based on random differential equations is analyzed using a random field method. Sufficient conditions corresponding to the second moment relative to the optimal solution in the form of matrix inequalities are established. Then, the grid search method is employed to determine the best system parameters such that the second moment of the estimation error has the minimum value. In addition, the obtained results are applied to solve the average consensus problem in the presence of a stationary process. Finally, a numerical example is presented to verify the effectiveness of the proposed algorithm.

关键词： distributed optimization random differential equations stationary process noise-to-state exponential stability

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Non-intrusive Load Monitoring Based Data-Free Incremental Electrical Appliance Identification 8th

Non-intrusive Load Monitoring Based Data-Free Incremental El...

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8th International Conference on Energy and Environmental Science, ICEES 2024

作者： Zhou, Rui Fang, Xiaohan The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China

ISBN: (纸本)9783031639005

In the realm of modern energy management systems, Non-Intrusive Load Monitoring (NILM) technology provides an innovative solution for power suppliers. It allows for remote monitoring and analysis of users’ electricity consumption patterns without requiring direct access to each device. This technology works by collecting comprehensive energy data at the user’s meter entry point and using algorithms to differentiate and identify the energy consumption characteristics of each device. However, with the increasing number of smart devices used by residential and commercial users, traditional NILM methods face the challenge of dealing with more complex and diverse electricity usage patterns. To address these challenges, we propose a novel incremental NILM framework. This framework has the ability to independently learn new load categories without load data, which is crucial for adapting in real-time to the changing variety of load devices, while also effectively addressing user privacy concerns. We introduce a VI-SCRM for extracting V-I trajectory features, incorporating a reconstruction convolution module. This method reduces the redundancy of V-I trajectory features and eliminates insignificant features, thereby improving algorithm efficiency. Additionally, this approach streamlines the model training process and prevents the model from ‘forgetting’ previously acquired knowledge. By implementing this framework in NILM, the system can continually adjust to new types of devices. Our experimental results confirm the effectiveness of this approach and highlight its potential advantages in practical applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convolution

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Smooth quadrotor trajectory generation for tracking a moving target in cluttered environments

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Science China(Information Sciences) 2021年第7期64卷 132-147页

作者： Lele XI Zhihong PENG Lei JIAO Ben M.CHEN School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System Peng Cheng Laboratory Department of Mechanical and Automation Engineering The Chinese University of Hong Kong

In this paper, we present a trajectory generation method of a quadrotor, based on the optimal smoothing B-spline, for tracking a moving target with consideration of relative tracking pattern or limited field of view of the onboard sensor in cluttered environments. Compared to existing methods, safe flying zone,vehicle physical limits, and smoothness are fully considered to guarantee flight safety, kinodynamic feasibility, and tracking performance. To tackle the cluttered environments, a parallel particle swarm optimization algorithm is applied to find the feasible waypoints that the generated trajectory should be as close to as possible, with consideration of the target's future state as well as obstacles to trade off the tracking performance and flight safety. Then, a sequential motion planning method, considering the above constraints, is applied and embedded into a cost function for solving the problem of robust tracking trajectory generation for the quadrotor via a convex optimization approach. The feasibility and effectiveness of the proposed method are verified by numerical simulations.

关键词： quadrotor target tracking trajectory generation B-spline convex optimization

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Uncertainty analysis of hypersonic flight dynamics under elastic effects

Uncertainty analysis of hypersonic flight dynamics under ela...

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2024 International Conference on Aerospace and Mechanics, ICAM 2024

作者： Li, Shuqing Zeng, Fanlin Xiang, Qiulin School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin300222 China

In addressing the aerodynamic-elastic coupling issues of hypersonic vehicles, this study delves into the analysis of the elastic deformation of the aircraft based on mechanistic understanding. It employs the Interval Analysis Method based on Polynomial Approximations to conduct uncertainty analysis of the aerodynamic model under elasticity, delineating the range of uncertainty in the aerodynamic model influenced by elastic deformation. The aerodynamic force of the aircraft under elasticity is connected with the rigid body, and then the aerodynamic layout of the aircraft fuselage and control surface after elastic deformation is calculated to study the influence of the elastic effect on the aerodynamic force. The results show that the change caused by uncertainty has a relatively small effect on lift but a relatively large effect on drag and pitching moment. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Hypersonic vehicles

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A Causal Fusion Inference Method for Industrial Alarm Root Cause Analysis Based on Process Topology and Alarm Event Data

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Journal of Beijing Institute of Technology 2022年第4期31卷 371-381页

作者： Pan Zhang Wenkai Hu Xiangxiang Zhang Jianqi An 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

Modern industrial systems are usually in large scale,consisting of massive components and variables that form a complex system *** to the interconnections among devices,a fault may occur and propagate to exert widespread influences and lead to a variety of *** the root causes of alarms is beneficial to the decision supports in making corrective alarm *** data-driven methods for alarm root cause analysis detect causal relations among alarms mainly based on historical alarm event *** improve the accuracy,this paper proposes a causal fusion inference method for industrial alarm root cause analysis based on process topology and alarm events.A Granger causality inference method considering process topology is exploited to find out the causal relations among *** topological nodes are used as the inputs of the model,and the alarm causal adjacency matrix between alarm variables is obtained by calculating the likelihood of the topological Hawkes *** root cause is then obtained from the directed acyclic graph(DAG)among alarm *** effectiveness of the proposed method is verified by simulations based on both a numerical example and the Tennessee Eastman process(TEP)model.

关键词： roots cause analysis causality inference process topology alarm events

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Identification Method of Electric Meter Reading Based on YOLOv7 and DCNN 6

Identification Method of Electric Meter Reading Based on YOL...

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6th Asia Symposium on Image Processing, ASIP 2024

作者： Changping, Mu Liqing, Geng Genghuang, Yang Peng, Zhou Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin300222 China

ISBN: (纸本)9798350376159

Meter reading recognition is an essential indispensable part of intelligent grid inspection systems. However, due to limitations in the installation angles of monitoring cameras, captured images often suffer from angle issues, thereby reducing recognition accuracy. Therefore, this paper proposes a two-stage detection and recognition algorithm based on YOLOv7-tiny and DCNN networks. Firstly, the key point detection algorithm of YOLOv7 is improved by adding the EVC module, which enables the model to extract image features more comprehensively. Utilizing the Wingloss loss function, key point detection of meter reading regions is achieved. Then, perspective transformation is performed on the meter reading regions based on key point coordinate information to correct the images. Secondly, the deep convolutional neural network (DCNN-CTC) algorithm is employed for text recognition in images. Through extensive experiments with actual meter data, the results indicate that compared to YOLOv5 and CRNN methods, the proposed approach can recognize various meter reading information from different shooting angles with an increased accuracy rate of 5.8%. © 2024 IEEE.

关键词： Convolutional neural networks

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