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1st Annual International EOS/ESD Symposium on Design and system, IEDS 2020

作者： Yang, Zhaonian Zhang, Yibo Mao, Pan Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China

ISBN: (纸本)9781585373284

This paper presents a new ESD clamp circuit which is co-triggered by RC and diode. It is immune to the false triggering caused by fast power-up events due to the diode detection mechanism. With the addition of a common source amplifier, the detection signal is enhanced, and the clamp device is turned on more quickly. The proposed circuit is designed in a 0.18 μm 1.8-V CMOS process and verified by numerical simulation. The characteristics and improvements of the new circuit are discussed. © 2021 EOS/ESD ASSOCIATION INC.

关键词： Diodes

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Enabling Stateful TCP Performance Profiling with key Event Capturing

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IEEE Transactions on Network and Service Management 2025年

作者： Geng, Ruopeng Lu, Jianyuan Fang, Chongrong Zhang, Shaokai Zhao, Jiangu Zong, Zhigang Lyu, Biao Zhu, Shunmin Cheng, Peng Chen, Jiming Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Alibaba Group Hangzhou310052 China Ministry of Education of China Key Laboratory of System Control and Information Processing China Shanghai Jiao Tong University Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

TCP ensures reliable transmission through its stateful implementation and remains crucial today. TCP performance profiling is essential for tasks like diagnosing network performance problems, optimizing transmission performance, and developing new TCP variants, etc. Existing profiling methods lack enough attention to TCP state transition to provide detailed insights on TCP performance. Thus, we build TcpSight, a tool focusing on TCP state transition throughout connection lifetimes. TcpSight conducts stateful analysis by capturing key events using an efficient per-connection lock-free data management mechanism. Besides, TcpSight enhances profiling by integrating application layer information collected from the TCP stack. With the profiling results, users can identify the culprit of TCP performance degradation, and evaluate the performance of TCP algorithms. We design optional modules and filtering mechanisms to reduce TcpSights overhead. Our evaluation presents that TcpSight incurs an additional CPU consumption of about 16.6% (without filtering) and 10.6% (with filtering) when the server's load is 55.7%, and generates storage consumption about 1.88 KB per connection on average. We also give application cases of TcpSight and the deployment experiences in Alibaba Cloud. TcpSight helps in revealing meaningful findings and insights into exploiting TCP in the production deployment. © 2004-2012 IEEE.

关键词： information management

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Analysis of Belief Propagation Based Cooperative Localization and Target Tracking Schemes

Analysis of Belief Propagation Based Cooperative Localizatio...

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2021 China Automation Congress, CAC 2021

作者： Li, Yichen Yu, Wenbin Wang, Lin Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665426473

The target tracking is an fundamental ability for many oceanic applications, such as ocean surveillance, underwater rescue and etc. Due to the good mobility of autonomous underwater vehicles (AUVs), they are the ideal devices to carry out the target tracking. However, their position accuracy severely affect the target tracking performance. Thus, in this paper, aiming at the problem of target tracking using multiple AUVs, we introduce two AUV cooperative localization and target tracking schemes. The two schemes are designed based on belief propagation and carry out the localization and tracking serially and in parallel, respectively. The features and differences of both schemes are compared and analyzed in detail. Moreover, their application prospects in underwater scenarios are discussed and further validated through simulations. As a result, two schemes have their own advantages in different situations and are suitable for multiple-AUV applications. © 2021 IEEE

关键词： Belief propagation

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Global Burden of Clostridium difficile Infection-Related Diarrhea Mortality from 1990 to 2021:A Study Based on the 2021 Global Burden of Disease Database

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Biomedical and Environmental Sciences 2025年第5期38卷 629-632页

作者： Ying Li Jie Li Hesheng Chang Yuehua Hu Chengdong Xu Department of Pediatrics Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Office of Epidemiology Chinese Center for Disease Control and PreventionBeijing 100032China State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Clostridium difficile infection(CDI)is a major global public health concern,accounting for 15%-25%of antibiotic-associated diarrhea,50%-75%of antibiotic-associated colitis,and nearly all cases of pseudomembranous *** the past decade,CDI outbreaks have become increasingly prevalent in North America and Europe,with rising incidence and mortality *** 2019,the Centers for Disease control and Prevention(CDC)in the United States classified CDI as a“critical”public health threat in their report on antibiotic resistance threats[1].CDI incidence varies widely across countries,healthcare settings,and age groups,with cumulative incidence rates ranging from 1.12 to 631.80 per 100,000 people annually[2].As the epidemiology of CDI continues to evolve and our understanding of the disease advances,reassessing its burden remains *** Global Burden of Disease,Injury,and Risk Factors Study(GBD 2021)database offers new insights into this issue.

关键词： Public health pseudomembranous colitisover Global burden Diarrhea Mortality clostridium difficile infection cdi Antibiotic resistance Epidemiology

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ToF 3D vision detection and localization of soft packaging bags based on deep learning

ToF 3D vision detection and localization of soft packaging b...

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2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021

作者： Shen, Chengyang Chen, Weidong Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation

ISBN: (纸本)9781665436786

The detection of soft packaging bags is a key step in the process of soft packaging bags unpacking. Time-of-flight(ToF) camera is used as vision sensor and a multi-scale detection method based on deep learning is proposed to solve the deformation and shielding problems of soft packaging bags. This method is improved on the basis of YOLOv3. Aiming at the texture disorder and shape change caused by the deformation of the soft packaging bags, the deformation convolution is used to replace the standard convolution for feature extraction. In view of the slow detection speed of YOLOv3, the inverted residual module based on depth separable convolution is used to replace the residual module. Aiming at the problem of non-detection caused by the occlusion between soft packaging bags, the loss function in YOLOv3 is improved and the size of anchor box is adjusted. The test is carried out when there were different degrees of shielding between the soft packaging bags and different degrees of deformation of the soft packaging bags. The experimental results show that the detection speed of this method reaches 0.8s/frame, the recall rate reaches 99%, and the relative positioning accuracy reaches 2 cm. © 2021 IEEE.

关键词： Convolution

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A Probabilistic Topology Inference Method for Networked Dynamical system via Single Excitation

A Probabilistic Topology Inference Method for Networked Dyna...

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IEEE Conference on Decision and control

作者： Qing Jiao Yushan Li Jianping He Dept. of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China and Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

A growing number of works have investigated inferring the topology of networked dynamical systems from observations, such as to better understand the system behaviour. Despite the tremendous advances, most of them require the observations to be abundant. This paper focuses on inferring the topology by injecting single excitation on a node and collecting several steps of noisy observations. The problem is challenging because the noises cannot be depressed in several observations and are mixed with the injected excitation, making it hard to directly reveal the topology. To practice, we develop a probabilistic method based on the hypothesis test framework. First, we infer the neighbors that are within h-hop of the excited node and derive the accuracy guarantees. Then, we extend the method to infer the exact h-hop neighbors. A computable lower bound for the accuracy probability is established to provide confidence support in the inference procedures. Furthermore, we give the conditions of excitation input to ensure a desired inference probability, which provides guidance for the input design. Numerical simulations are conducted to verify the effectiveness of the proposed method.

关键词： Lower bound Accuracy Network topology Noise Probabilistic logic Numerical simulation Topology Noise measurement Reliability Dynamical systems

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The main and added effects of heat on mortality in 33 Chinese cities from 2007 to 2013

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Frontiers of Environmental Science & Engineering 2023年第7期17卷 35-46页

作者： Yanlin Niu Jun Yang Qi Zhao Yuan Gao Tao Xue Qian Yin Peng Yin Jinfeng Wang Maigeng Zhou Qiyong Liu Beijing Center for Disease Prevention and Control Institute for Nutrition and Food HygieneBeijing 100013China State Key Laboratory of Infectious Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China University College London LondonWC1H ONNUK School of Public Health Guangzhou Medical UniversityGuangzhou 511436China Department of Epidemiology School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012China Shandong University Climate Change and Health Center Shandong UniversityJinan 250100China Department of Epidemiology IUF-Leibniz Research Institute for Environmental MedicineDiusseldorf 40225Germany School of Public Health and Preventive Medicine Monash UniversityMelbourneVIC 3004Australia Institute of Reproductive and Child Health Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and BiostatisticsSchool of Public HealthPeking UniversityBeijing 100191China State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Nature Resources ResearchChinese Academy of SciencesBeijing 100101China National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and PreventionBeijing 100050China University of Chinese Academy of Sciences Beijing 100049China

Increases in ambient temperatures and the frequency of extreme heat events constitute important burdens on global public ***,evidence on their effects on public health is limited and inconclusive in *** this study,data on daily deaths recorded in 33 Chinese cities from 2007 to 2013 was used to evaluate the effect of heat on mortality in *** addition to the definition of a heatwave established by the China Meteorological Administration,we combined four city-specific relative thresholds(90th,92.5th,95th,and 97.5th percentiles)of the daily mean temperature during the study period and three durations of≽2,≽3,and≽4 days,from which 13 heatwave definitions were ***,we estimated the main and added effects of heat at the city level using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear ***,the estimates for the effects were pooled at the national level using a multivariable *** analysis was performed according to sex,age,educational attainment,and spatially stratified *** results showed that the mortality risk increased from 22.3%to 37.1%due to the effects of the different heatwave *** added effects were much lower,with the highest increase of 3.9%(95%CI:1.7%–6.1%)in mortality ***,the elderly,populations with low educational levels,and populations living inland in China were found to be the most vulnerable to the detrimental effects of *** findings have important implications for the improvement of early warning systems for heatwaves.

关键词： Heat Main effect Added effect Mortality Vulnerable population

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Velocity-Varying Target Tracking of Mobile Sensor Network Based on Flocking control

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Journal of Shanghai Jiaotong university(Science) 2021年第4期26卷 446-453页

作者： ZHANG Lalu Xiangxiang Dong YAO Lixiu CAI Yunze Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai200240China Department of Automation Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai Jiao Tong UniversityShanghai200240China

Existing coupled distributed estimation and motion control strategies of mobile sensor networks present limitations in velocity-varying target tracking. Therefore, a velocity-varying target tracking algorithm based on flocking control is proposed herein. The Kalman-consensus filter is utilized to estimate the position, velocity and acceleration of a target. The flocking control algorithm with a velocity-varying virtual leader enables the position of the center of the mobile sensor network to converge to that of the target. By applying an effective cascading Lyapunov method, stability analysis is performed. Simulation results are provided to validate the feasibility of the proposed algorithm.

关键词： mobile sensor network velocity-varying target tracking flocking control Kalman-consensus filtering

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Robust optimization-based fusion of GNSS and Visual-Inertial-Wheel Odometry

Robust optimization-based fusion of GNSS and Visual-Inertial...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Hou, Jake Jie Wu, Xinrui Shan, Jiwei Li, Dun Wang, Hesheng Shanghai Jiao Tong University Department of Automation China Shanghai Karlang Industrial Nantong Intelligent Technology Co. Ltd China Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

SLAM is significant to autonomous mobile robots. In order to realize drift-free state estimation and provide accurate localization results for the subsequent navigation, we develop an optimization-based framework consisting of a high-frequency Inertial-Wheel Odometry(IWO), Visual-Inertial-Wheel Odometry(VIWO) and a global fusion module. To fuse the local state with the position provided by GNSS, we perform ternary edge in factor graph optimization to estimate the transformation between the local frame and ENU coordinate. Thanks to the tightly-coupled VIWO, the localization property of the odometry presents more robustness, and improve the accuracy of global fusion. A noise repropagation strategy is introduced to ensure the consistency of the IMU and wheel odometer. We evaluate the proposed system on public datasets and test it in real-world scenario. The experimental results show that our system achieves accurate pose estimation in outdoor environments. © 2022 IEEE.

关键词： Frequency estimation

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Streaming-Data-Driven Multi-Objective Optimal Operation for Ammonia-based Integrated Energy Chemical systems: An Event-Triggered Scheme

Streaming-Data-Driven Multi-Objective Optimal Operation for ...

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Chinese control Conference (CCC)

作者： Longyan Li Chao Ning Department of Automation Shanghai Jiao Tong University Shanghai Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

As an important component in the industry sector, the integrated energy chemical system is inescapably responsible for carbon reduction in addition to economic and reliability performance. We propose a novel streaming-data-driven multi-objective optimal operation for ammonia-based integrated energy chemical systems (AIECS). In the day ahead scheduling, a detailed mathematical model for AIECS is presented, upon which a multi-objective optimization considering cost, CO 2 emission and reliability is established. For the intra-day operation, an event-triggered mechanism is firstly developed in the real-time operation of AIECS, and it enables the AIECS to be risk-aware just in time. By monitoring the difference between the predicted state of charge and the capacity limitations of battery, the AIECS identifies whether it is in hazardous regime. Then, the intelligent switch between certainty equivalence model predictive control and online-learning based distributionally robust model predictive control is proposed, such that their respective advantages are leveraged. Case studies demonstrate that the proposed approach guarantees the system safety, and brings good revenue.

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