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

International Journal of Ex.reme 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 ex.losively 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 flex.ble *** 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 ex.sting 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 ex.ressed 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 x. Zehui x.ong Yutao Jiao Luchao Han Dusit Niyato Yongju Tong Shengli x.e 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 ex.cution 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 ex.cute 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 prox.mal 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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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 Chunx.ang Fan Yuyang x. 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 Ex.anded 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 ex.racted 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 ex.mine 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(ax.llary 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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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： x.aoyong Jiang minrui Ye Yunhai Li x.ao Fu Tangx.n Li Qix.ao 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 contex. of dynamic motion recognition tasks, where substantial data transfers are necessitated by the generation of ex.ensive 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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A Scalable Strategy for Consensus-Based Secondary Reliable Control of DC Microgrids by Graph Decomposition

A Scalable Strategy for Consensus-Based Secondary Reliable C...

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第35届中国过程控制会议

作者： Yangjie Chen minrui Fei Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University

This article ex.mines a consensus-based method for reliable distributed secondary control in DC microgrids（mGs）,focusing on achieving effective current sharing and voltage balancing. To accomplish this objective, it is assumed that each Distributed Generation Unit（DGU） is equipped with a decentralized primary controller to maintain voltage stability. However,the core issue is that the problem ex.ibits non-convex.ty and demonstrates poor scalability as the size of DC mGs ***, Our objective is to develop a scalable strategy for distributed H control design. considering limited model information ex.hange and arbitrary control structures. To achieve this, we adopt a graph-theoretical perspective for the structured optimal H design of DC mGs, incorporating linear matrix.inequality（LMI） constraints. By utilizing chordal graph decomposition,we decompose the design problem into low-dimensional problems with coupled constraints. Finally, we introduce a scalable strategy based on the alternating direction method of multipliers（ADMM） to solve the H optimization problem. This strategy ensures the stability of the closed-loop DC m Gs system by tolerating certain faults in DC mGs components through limited model information ex.hange.

关键词： DC microgrids Consensus algorithms Graph Decomposition ADMM

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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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托幼机构管理者自主选学式培训的作用:以加拿大阿尔伯塔省为例

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外国教育研究 2024年第2期51卷 54-63页

作者：洪秀敏陈敏睿缴润凯北京师范大学教育学部北京100875 牛津大学教育学院英国牛津OX26PY 东北师范大学教育部幼儿园园长培训中心吉林长春130024

赋予教育工作者以专业发展自主权被认为是影响培训质量和教育质量的重要一环。在高质量发展背景下托幼机构管理者在参与专业培训时能否实现赋权增能至关重要。基于人力资源管理的AMO理论模型,加拿大阿尔伯塔省的托幼机构管理者自主选学... 详细信息

赋予教育工作者以专业发展自主权被认为是影响培训质量和教育质量的重要一环。在高质量发展背景下托幼机构管理者在参与专业培训时能否实现赋权增能至关重要。基于人力资源管理的AMO理论模型,加拿大阿尔伯塔省的托幼机构管理者自主选学式培训从能力提升、动机激发、机会保障三个维度保障了托幼机构管理者的培训自主权:常态化的培训模式与灵活多样的培训内容与形式,帮助托幼机构管理者提升了专业素养和自主选学能力;自我晋升制度与自我评估机制,帮助托幼机构管理者实现了专业发展的自我驱动力;AECEA专业协会为自主选学式培训提供了规范引领和组织保障,专项经费投入与管理保障了托幼机构管理者自主专业发展的必要条件。自主选学式培训对提升托幼机构管理者专业培训的积极性和有效性具有一定的借鉴意义。

关键词：托幼机构管理者自主选学培训自主权专业发展 AMO 阿尔伯塔省

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一种可用于智能监测的量子点神经形态显示器件

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电视技术 2024年第6期48卷 69-74页

作者：连敏锐福州大学物理与信息工程学院福建福州350108

制备了基于量子点的神经形态显示器件。通过新一代显示技术量子点发光二极管(Quantum Dot Light Emitting Diodes,QLED)与人工神经突触的有机结合,将处理模块和显示像素集成到一个器件上。进行任务决策和智能显示时,由于其存算一体的特... 详细信息

制备了基于量子点的神经形态显示器件。通过新一代显示技术量子点发光二极管(Quantum Dot Light Emitting Diodes,QLED)与人工神经突触的有机结合,将处理模块和显示像素集成到一个器件上。进行任务决策和智能显示时,由于其存算一体的特性,不用频繁调动数据,降低了功耗并提高了计算效率。神经形态显示器件的发射光强度直接显示了器件对不同频率的脉冲刺激的处理结果。在对水果的智能监测中,该器件可以实现对变质水果的有效识别和可视化警报。

关键词：智能显示神经形态器件量子点

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孤岛工作面双侧采空区积水探放技术应用

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陕西煤炭 2024年第3期43卷 119-122页

作者：张敏锐陕西省应急管理厅陕西西安710018

采空区积水突水严重威胁着矿井的采掘作业安全,建庄煤矿212孤岛工作面两侧采空区均有积水,无疑增加探放难度。通过分析矿井的水文地质条件、埋藏条件、分布特征以及富水性变化的规律,进行采空积水和水头压力计算,判断煤柱承压水头能力,... 详细信息

采空区积水突水严重威胁着矿井的采掘作业安全,建庄煤矿212孤岛工作面两侧采空区均有积水,无疑增加探放难度。通过分析矿井的水文地质条件、埋藏条件、分布特征以及富水性变化的规律,进行采空积水和水头压力计算,判断煤柱承压水头能力,选择在建庄煤矿212工作面胶带运输巷和回风巷分别施工疏放水硐室,每个疏放水硐室施工3个钻孔对两侧采空水进行疏放。结果表明,采空区积水的水头压力分别为0.25 MPa和0.23 MPa,均未超过煤柱承载水头压力,煤柱处于稳定状态。对两侧采空区积水进行探放,消除采空区积水对212工作面巷道掘进产生的水害隐患,实现巷道的安全掘进,为类似采空区水害防治工作提供实践依据。

关键词：孤岛工作面采空区积水探放水水害防治

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