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HY-1C Coastal Zone Imager observations of the suspended sediment content distribution details in the sea area near Hong Kong-Zhuhai-Macao Bridge in China

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Acta Oceanologica Sinica 2022年第11期41卷 126-138页

作者： Lina Cai minrui zhou Xiaojun Yan Jianqiang Liu Qiyan Ji Yuxiang Chen Juncheng Zuo Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316004China Key Laboratory of Space Ocean Remote Sensing and Application Ministry of Natural ResourcesBeijing 100081China South China Sea Fisheries Research Institute Chinese Academy of Fishery SciencesGuangzhou 510300China College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China

The impacts of the Hong Kong-Zhuhai-Macao Bridge(HKZMB)on suspended sediment content(SSC)were analysed in the Zhujiang River Estuary based on data from HY-1C,which was launched in September 2018 in China,carrying Coastal Zone Imager(CZI)and Chinese Ocean Color and Temperature Scanner on it.A new SSC inversion model was established based on the relationship between in-situ SSC and the remote sensing reflectance in red and near-infrared bands of CZI ***-1C satellite data obtained from October to December 2019 were applied to retrieve SSC in the Zhujiang River *** results show that SSC around the HKZMB is ranging from 20 mg/L to 95 mg/*** change obviously on two sides of the *** flooding and ebbing period,SSC increases obviously downstream of the *** difference between upstream and downstream is ranging from 5 mg/L to 20 mg/*** flowing across the HKZMB,the change trend of SSC in most places upstream and downstream is almost the same that SSC downstream of the bridge is higher than SSC *** tidal currents interact with bridge piers,inducing vortexes downstream,leading the sediment to re-suspend downstream of the bridge *** factors,including seafloor topography and wind,can also contribute to the distribution of SSC in the Zhujiang River Estuary.

关键词： HY-1C Coastal Zone Imager(CZI) Hong Kong-Zhuhai-Macao Bridge suspended sediment content Zhujiang River Estuary

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Recent advances in fabrication and functions of neuromorphic system based on organic field effect transistor

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International Journal of Extreme Manufacturing 2024年第2期6卷 273-295页

作者： Yaqian Liu minrui Lian Wei Chen Huipeng Chen School of Physics and Electronic Engineering Zhengzhou University of Light IndustryHenan 450002People’s Republic of China Institute of Optoelectronic Display National&Local United Engineering Lab of Flat Panel Display TechnologyFuzhou UniversityFuzhou 350002People’s Republic of China Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityFuzhou 350207People’s Republic of China Department of Chemistry National University of Singapore3 Science Drive 3Singapore 117543Singapore Department of Physics National University of Singapore3 Science Drive 3Singapore 117543Singapore

The development of various artificial electronics and machines would explosively increase the amount of information and data,which need to be processed via in-situ *** synapse devices can store and process signals in a parallel way,thus improving fault tolerance and decreasing the power consumption of artificial *** organic field effect transistor(OFET)is a promising component for bioinspired neuromorphic systems because it is suitable for large-scale integrated circuits and flexible *** this review,the organic semiconductor materials,structures and fabrication,and different artificial sensory perception systems functions based on neuromorphic OFET devices are ***,a summary and challenges of neuromorphic OFET devices are *** review presents a detailed introduction to the recent progress of neuromorphic OFET devices from semiconductor materials to perception systems,which would serve as a reference for the development of neuromorphic systems in future bioinspired electronics.

关键词： organic field effect transistor neuromorphic systems synaptic transistor sensory perception systems device fabrication

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A Novel Scalable Fault-Tolerant Control Design for DC Microgrids With Nonuniform Faults

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1886-1888页

作者： Aimin Wang minrui Fei Dajun Du Yang Song Shanghai Key Laboratory of Power Station Automation Technology the School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200072China

Dear Editor,The existing control schemes for microgrids(MGs)face challenges in effectively addressing plugging in/out operations under uncertain power lines and *** tackle this issue,this letter proposes a novel scalable fault-tolerant control(FTC)strategy for DC *** developing a structured Lyapunov matrix(SLM),a decoupled FTC method is introduced to mitigate the adverse effects of uncertain lines and nonuniform ***,global stability is ensured by deriving local rules expressed as linear matrix inequalities(LMIs)that solely depend on local *** new distributed generation unit(DGU)introduces only one additional condition of this nature,allowing the stability rules to scale with topology ***,the effectiveness of the proposed scheme is illustrated through simulations conducted using the MATLAB/SimPowerSystems toolbox.

关键词： stability letter operations

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UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 430-445页

作者： Jiawen Kang Junlong Chen minrui Xu Zehui Xiong Yutao Jiao Luchao Han Dusit Niyato Yongju Tong Shengli Xie IEEE School of Automation Guangdong University of TechnologyGuangzhou 510006China 111 Center for Intelligent Batch Manufacturing based on IoT Technology Guangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingaporeSingapore Pillar of Information Systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore College of Communication Engineering Army Engineering University of PLANanjing 210007China National Natural Science Foundation of China Beijing 100085China Key Laboratory of Intelligent Detection and IoT in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China

Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach

关键词： Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs

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Multiframe-integrated, in-sensor computing using persistent photoconductivity

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Journal of Semiconductors 2024年第9期45卷 36-41页

作者： Xiaoyong Jiang minrui Ye Yunhai Li Xiao Fu Tangxin Li Qixiao Zhao Jinjin Wang Tao Zhang Jinshui Miao Zengguang Cheng School of Microelectronics Fudan UniversityShanghai 200433China Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310024China University of Chinese Academy of Sciences Beijing 100049China School of Information Science and Technology ShanghaiTech UniversityShanghai 201210China

The utilization of processing capabilities within the detector holds significant promise in addressing energy consumption and latency challenges. Especially in the context of dynamic motion recognition tasks, where substantial data transfers are necessitated by the generation of extensive information and the need for frame-by-frame analysis. Herein, we present a novel approach for dynamic motion recognition, leveraging a spatial-temporal in-sensor computing system rooted in multiframe integration by employing photodetector. Our approach introduced a retinomorphic MoS_(2) photodetector device for motion detection and analysis. The device enables the generation of informative final states, nonlinearly embedding both past and present frames. Subsequent multiply-accumulate (MAC) calculations are efficiently performed as the classifier. When evaluating our devices for target detection and direction classification, we achieved an impressive recognition accuracy of 93.5%. By eliminating the need for frame-by-frame analysis, our system not only achieves high precision but also facilitates energy-efficient in-sensor computing.

关键词： in-sensor MoS2 photodetector persistent photoconductivity reservoir computing

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方型永磁体多稳态能量采集器的设计与动力学研究

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传感器与微系统 2023年第3期42卷 60-64页

作者：唐驿宇周振华戴志辉周民瑞长沙理工大学汽车与机械工程学院湖南长沙410114 机械装备高性能智能制造关键技术湖南省重点实验室湖南长沙410114 机械设备健康维护湖南省重点实验室湖南湘潭411201

提出了一种基于方型永磁体结构的新型非线性多稳态能量采集器,建立了多稳态能量采集器的动力学微分方程,分析了多稳态能量采集器的结构参数对稳态数目、势阱深度以及势阱间距的影响规律。结果表明:所提出的多稳态能量采集器可以通过调... 详细信息

提出了一种基于方型永磁体结构的新型非线性多稳态能量采集器,建立了多稳态能量采集器的动力学微分方程,分析了多稳态能量采集器的结构参数对稳态数目、势阱深度以及势阱间距的影响规律。结果表明:所提出的多稳态能量采集器可以通过调节结构参数来实现对系统稳态数目、势阱深度以及势阱间距的调控。同时,在谐波激励下,三稳态能量采集器的工作带宽要宽于双稳态;在随机激励下,三稳态进入阱间运动的噪声强度阈值要低于双稳态。

关键词：双稳态三稳态势阱间距势阱深度

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Post-Marketing Surveillance of Adverse Events Following Immunization with Haemophilus Influenzae Type b Conjugate Vaccine — China, 2010–2021

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China CDC weekly 2024年第33期6卷 834-840页

作者： minrui Ren Keli Li Yan Li Chunxiang Fan Yuyang Xu Lina Zhang Yuan Li Lei Cao Wenzhou Yu Zundong Yin National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID) National Immunization ProgrammeChinese Center for Disease Control and PreventionBeijingChina Department of Expanded Programme on Immunization Hangzhou Center for Disease Control and PreventionHangzhou CityZhejiang ProvinceChina

Introduction The Haemophilus influenzae type b(Hib)conjugate vaccine is widely administered in *** We extracted data on Hib vaccine doses administered and adverse events following immunization(AEFI)reported between 2010 and 2021 from the Chinese National Immunization Information System(CNIIS).A descriptive analysis was conducted to examine the characteristics and incidence rates of AEFI with the Hib *** In China,between 2010 and 2021,a total of 52,910 AEFIs with the Hib vaccine were reported,resulting in an overall AEFI reporting rate of 38.10 per 100,000 ***(typically minor)and rare(potentially serious)vaccine reactions occurred at rates of 34.71 and 2.78 per 100,000 doses,*** the common vaccine reactions,the incidences of fever(axillary temperature≥38.6℃),injection site redness and swelling(>2.5 cm in diameter),and injection site induration(>2.5 cm in diameter)were 11.93,9.69,and 3.38 per 100,000 doses,*** vaccine reactions included anaphylactic rash,angioedema,and febrile convulsion with reported incidences of 2.42,0.10,and 0.05 per 100,000 doses,*** incidence of serious rare vaccine reactions was 0.16 per 100,000 *** The reported incidence of AEFI with the Hib vaccine was low,with the occurrence of serious rare adverse reactions also being markedly low throughout the period 2010–2021 in China.

关键词： doses markedly injection

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基于角度域方法的汽油机活塞连杆敲击异响分析

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小型内燃机与车辆技术 2022年第4期51卷 86-88,92页

作者：周敏瑞程相克宁波吉利罗佑发动机零部件有限公司浙江宁波315336

某型发动机在台架试验中,怠速及低转速小油门降速过程中出现异常敲击故障,经测试及排查,采用角度域方法分析,最终确认为试验用发动机活塞销粗糙度大导致连杆小头磨损出现敲击异响问题。控制活塞销粗糙度后,最终解决了敲击异响问题。

关键词：活塞连杆活塞销敲击异响

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一类带(p,q)-Laplace算子离散问题正解的存在性

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浙江大学学报（理学版） 2024年第4期51卷 438-442页

作者：石敏瑞高承华西北师范大学数学与统计学院甘肃兰州730070

运用上下解方法获得了一类半正离散(p,q)-Laplace问题■正解的存在性,其中,p> q> 1,参数λ> 0,T> 2为固定的整数,■在无穷远处满足p-次线性条件,在0处可能奇异。

关键词：半正 (p,q)-Laplace 正解上下解方法

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基于MCS-SBL算法的配电网故障定位方法

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电力系统及其自动化学报 2024年第3期36卷 30-38页

作者：周群刘梓琳冷敏瑞印月何川四川大学电气工程学院成都610044

配电网拓扑结构复杂,传统方法往往需要大量测点信息且难以实现快速有效的故障定位,本文提出基于少量测点信息的故障定位方法。首先,利用等效原理建立一个欠定的故障节点电压方程;其次,利用多重测量向量模型的贝叶斯压缩感知算法求解方程... 详细信息

配电网拓扑结构复杂,传统方法往往需要大量测点信息且难以实现快速有效的故障定位,本文提出基于少量测点信息的故障定位方法。首先,利用等效原理建立一个欠定的故障节点电压方程;其次,利用多重测量向量模型的贝叶斯压缩感知算法求解方程,根据重构稀疏电流矩阵的非零元素位置求解故障区域,实现故障定位;最后,在IEEE33节点配电系统上进行仿真实验,结果表明,所提方法仅需要少量测点的故障前后正序电压分量便可有效定位故障,计算速度较快,并且基本不受故障类型、过渡电阻的影响,同时适用于单故障和多重故障的场景,具有较强的抗噪能力。

关键词：配电网故障定位多重测量向量模型稀疏电流压缩感知

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