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Edge Intelligence for Smart Grid:A Survey on Application Potentials

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CSEE Journal of Power and Energy Systems 2023年第5期9卷 1623-1640页

作者： Hoay Beng Gooi tianjing wang Yong Tang Nanyang Technological University Singapore 639798Singapore China Electric Power Research Institute Beijing 100092China

With the booming of artificial intelligence(AI),Internet of Things(IoT),and high-speed communication technology,integrating these technologies to innovate the smart grid(SG)further is future development direction of the power grid.Driven by this trend,billions of devices in the SG are connected to the Internet and generate a large amount of data at network edge.To reduce pressure of cloud computing and overcome defects of centralized learning,emergence of edge computing(EC)makes the computing task transfer from the network center to the network edge.When further exploring the relationship between EC and AI,edge intelligence(EI)has become one of the research hotspots.Advantages of EI in flexibly utilizing EC resources and improving AI model learning efficiency make its application in SG a good prospect.However,since only a few existing studies have applied EI to SG,this paper focuses on the application potential of EI in SG.First,the concepts,characteristics,frameworks,and key technologies of EI are investigated.Then,a comprehensive review of AI and EC applications in SG is presented.Furthermore,application potentials for EI in SG are explored,and four application scenarios of EI for SG are proposed.Finally,challenges and future directions for EI in SG are discussed.This application survey of EI on SG is carried out before EI enters the largescale commercial stage to provide references and guidelines for developing future EI frameworks in the SG paradigm.

关键词： Artificial intelligence edge computing edge intelligence federated learning smart grid

基于整体性治理理论的集成服务优化路径研究——以贵州省“集成套餐服务”为例

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科技和产业 2024年第9期24卷 77-82页

作者：王田景贵州财经大学公共管理学院贵阳550025

随着“放管服”改革的推进,单一事项的优化已无法满足群众多元化需求。对此,贵州省积极开展政务服务便民化改革,推出“集成套餐服务”的政务服务模式。以整体性治理为理论基础,聚焦于“集成套餐服务”的实践做法,从“理念-结构-技术”... 详细信息

随着“放管服”改革的推进,单一事项的优化已无法满足群众多元化需求。对此,贵州省积极开展政务服务便民化改革,推出“集成套餐服务”的政务服务模式。以整体性治理为理论基础,聚焦于“集成套餐服务”的实践做法,从“理念-结构-技术”三维框架讨论政务创新协同思维的受限、组织边界的裂缝弥合、政务数据的技术壁垒3个困境。最后提出以公民需求为导向、建立协作信任机制、加强政务信息共享与数据整合3个优化路径。

关键词：政务服务集成套餐服务整体协同政府理念-结构-技术

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基于最大熵强化学习的最优渗透路径生成方法

计算机科学 2024年第3期51卷 360-367页

作者：王焱王天荆沈航白光伟南京工业大学计算机科学与技术学院南京211816

从攻击者角度分析入侵意图和渗透行为对于指导网络安全防御具有重要意义。然而,现有的渗透路径大多依据瞬时的网络环境构建,导致路径参考价值降低。针对该问题,文中提出了一种基于最大熵强化学习的最优渗透路径生成方法,该方法可以在网... 详细信息

从攻击者角度分析入侵意图和渗透行为对于指导网络安全防御具有重要意义。然而,现有的渗透路径大多依据瞬时的网络环境构建,导致路径参考价值降低。针对该问题,文中提出了一种基于最大熵强化学习的最优渗透路径生成方法,该方法可以在网络环境动态变化的情况下,以探索的形式捕获多种模式的近似最优行为。首先,依据攻击图和漏洞评分对渗透过程进行建模,通过量化攻击获益来刻画渗透行为的威胁程度;然后,考虑到入侵行为的复杂性,开发基于最大熵模型的Soft Q-学习方法,通过控制熵值和奖励的重要程度来保证求解渗透路径的过程具有稳定性;最后将该方法应用于动态变化的测试环境中,生成高可用的渗透路径。仿真实验结果表明,相比于现有基于强化学习的基准方法,所提方法具有更强的环境适应性,能够以更低的代价生成更高收益的渗透路径。

关键词：最大熵强化学习攻击图 Soft Q-学习渗透路径

车联网中深度强化学习辅助的RAN切片和任务卸载联合优化

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小型微型计算机系统 2024年第4期45卷 910-918页

作者：田一博沈航白光伟王天荆南京工业大学计算机科学与技术学院南京211816

车联网特点包括多种业务并存、车辆高速移动、车流在时域和空域分布不匀等,使得任务卸载和资源分配面临许多挑战性问题.本文提出一种深度强化学习辅助的无线接入网(Radio Access Network,RAN)切片和任务卸载联合优化方法,目的是最大化... 详细信息

车联网特点包括多种业务并存、车辆高速移动、车流在时域和空域分布不匀等,使得任务卸载和资源分配面临许多挑战性问题.本文提出一种深度强化学习辅助的无线接入网(Radio Access Network,RAN)切片和任务卸载联合优化方法,目的是最大化车联网任务完成数量.设计一种多时间尺度、多维资源切片框架,为不同类型任务的卸载提供差异化服务质量(Quality-of-Service,QoS)保障.在该框架下,任务完成数量最大化问题被建模为一个带约束的长时累积优化问题.该问题被解耦为大时间尺度上的RAN切片子问题与小时间尺度上的任务调度子问题.每当一个新切片窗口到来,控制器通过一种最优化方法为切片分配频谱和计算资源.切片窗口内各个时隙的工作流调度由一种基于深度强化学习的任务调度算法决定.该算法综合考虑车速、行驶方向、基站资源等因素,可以根据网络态势变化动态地在不同基站之间分配任务,实现全网资源的高效利用.仿真结果表明,所提方案在任务完成率、环境适应性等方面优于现有典型的基准方法.

关键词：车联网协作式任务卸载多时间尺度 RAN切片深度强化学习

A Mobile-Agent-Based Adaptive Data Fusion Algorithm for Multiple Signal Ensembles in Wireless Sensor Networks

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Wireless Sensor Network 2009年第5期1卷 458-466页

作者： tianjing wang Zhen YANG Guoqing LIU 不详

Distributed Compressed Sensing (DCS) is an emerging field that exploits both intra- and inter-signal correlation structures and enables new distributed coding algorithms for multiple signal ensembles in wireless sensor networks. The DCS theory rests on the joint sparsity of a multi-signal ensemble. In this paper we propose a new mobile-agent-based Adaptive Data Fusion (ADF) algorithm to determine the minimum number of measurements each node required for perfectly joint reconstruction of multiple signal ensembles. We theoretically show that ADF provides the optimal strategy with as minimum total number of measurements as possible and hence reduces communication cost and network load. Simulation results indicate that ADF enjoys better performance than DCS and mobile-agent-based full data fusion algorithm including reconstruction performance and network energy efficiency.

关键词： Wireless Sensor Networks Mobile Agent Compressed Sensing Distributed Compressed Sensing Joint Sparsity Joint Reconstruction

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压阻式压力传感器硅电阻条浅槽刻蚀的研究

舰船电子工程 2024年第4期44卷 199-202页

作者：王天靖梁庭雷程王婧冀鹏飞中北大学仪器科学与动态测试教育部重点实验室太原030051

MEMS压阻式压力传感器的电阻条刻蚀效果对传感器的性能及高温环境下工作寿命起着至关重要的作用。采用SPTS深硅刻蚀机以SF6为刻蚀气体,C4F8为保护气体进行刻蚀实验。通过改变刻蚀气体通入时长、保护气体通入时长以及射频功率进行参数匹... 详细信息

MEMS压阻式压力传感器的电阻条刻蚀效果对传感器的性能及高温环境下工作寿命起着至关重要的作用。采用SPTS深硅刻蚀机以SF6为刻蚀气体,C4F8为保护气体进行刻蚀实验。通过改变刻蚀气体通入时长、保护气体通入时长以及射频功率进行参数匹配,根据台阶仪和SEM电镜的观察数据对刻蚀效果进行评估,最终确定了刻蚀气体流量25 sccm,刻蚀气体通入的时长为2.5 s;保护气体流量50 sccm,保护气体的通入时长为2.5 s,射频功率为2 500 W的刻蚀条件。该条件下刻蚀速率为1.54μm/loop。刻蚀均匀性为2.9%.

关键词：压力传感器电阻条深硅刻蚀刻蚀刻蚀速率均匀性

Fouling corrosion in aluminum heat exchangers

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Chinese Journal of Aeronautics 2015年第3期28卷 954-960页

作者： Su Jingxin Ma Minyu wang tianjing Guo Xiaomei Hou Liguo wang Zhiping Tianjin Key Laboratory for Civil Aircraft Airworthiness and Maintenance Civil Aviation University of China Aircraft Maintenance and Engineering Corporation Beijing Capital International Airport

Abstract Fouling deposits on aluminum heat exchanger reduce the heat transfer efficiency and cause corrosion to the apparatus. This study focuses on the corrosive behavior of aluminum cou- pons covered with a layer of artificial fouling in a humid atmosphere by their weight loss, Tafel plots, electrochemical impedance spectroscopy （EIS）, and scanning electron microscope （SEM） observations. The results reveal that chloride is one of the major elements found in the fouling which damages the passive film and initiates corrosion. The galvanic corrosion between the metal and the adjacent carbon particles accelerates the corrosive process. Furthermore, the black carbon favors the moisture uptake, and gives the dissolved oxygen greater chance to migrate through the fouling layer and form a continuous diffusive path. The corrosion rate decreasing over time is conformed to electrochemistry measurements and can be verified by Faraday＇s law. The EIS results indicate that the mechanism of corrosion can be interpreted by the pitting corrosion evolution mechanism, and that pitting was observed on the coupons by SEM after corrosive exposure.

关键词： Aluminum EIS Heat exchanger Pitting corrosion Tafel plots

Insights into optimizing exosome therapies for acute skin wound healing and other tissue repair

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Frontiers of Medicine 2024年第2期18卷 258-284页

作者： tianjing Sun Mo Li Qi Liu Anyong Yu Kun Cheng Jianxing Ma Sean Murphy Patrick Michael McNutt Yuanyuan Zhang Department of Emergency Affiliated Hospital of Zunyi Medical UniversityZunyi563003China Department of Nephrology Affiliated Hospital of Zunyi Medical UniversityZunyi563003China Division of Pharmacology and Pharmaceutical Sciences School of PharmacyUniversity of Missouri-Kansas CityKansas CityMO64108USA Department of Biochemistry Wake Forest University School of MedicineWinston-SalemNC27157USA Wake Forest Institute of Regenerative Medicine Wake Forest School of MedicineWinston-SalemNC27109USA

Exosome therapy holds great promise as a novel approach to improve acute skin wound healing.This review provides a comprehensive overview of the current understanding of exosome biology and its potential applications in acute skin wound healing and beyond.Exosomes,small extracellular vesicles secreted by various stem cells,have emerged as potent mediators of intercellular communication and tissue repair.One advantage of exosome therapy is its ability to avoid potential risks associated with stem cell therapy,such as immune rejection or stem cells differentiating into unwanted cell types.However,further research is necessary to optimize exosome therapy,not only in the areas of exosome isolation,characterization,and engineering,but also in determining the optimal dose,timing,administration,and frequency of exosome therapy.Thus,optimization of exosome therapy is critical for the development of more effective and safer exosome-based therapies for acute skin wound healing and other diseases induced by cancer,ischemia,or inflammation.This review provides valuable insights into the potential of exosome therapy and highlights the need for further research to optimize exosome therapy for clinical use.

关键词： exosomes stem cells therapeutic impact skin wound healing

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电网仿真分析与决策的人工智能方法

中国电机工程学报 2022年第15期42卷 5384-5405页

作者：汤涌姚伟王宏志王灿郭强王甜婧黄彦浩电网安全与节能国家重点实验室(中国电力科学研究院有限公司) 北京市海淀区100192 华中科技大学湖北省武汉市430074 哈尔滨工业大学黑龙江省哈尔滨市150001 浙江大学浙江省杭州市310058

电网仿真是电网运行规划的支撑型技术,被广泛应用于电网各种运行方式的分析与决策。然而,目前基于电网仿真的分析与决策仍然需要人的参与,难以满足日益复杂的大电网需求,亟需寻找一条新的道路。人工智能的发展为电网仿真分析与决策提供... 详细信息

电网仿真是电网运行规划的支撑型技术,被广泛应用于电网各种运行方式的分析与决策。然而,目前基于电网仿真的分析与决策仍然需要人的参与,难以满足日益复杂的大电网需求,亟需寻找一条新的道路。人工智能的发展为电网仿真分析与决策提供了新的思路与方法。已有学者对人工智能在电网仿真分析与决策的应用做了广泛而深入的探索。该文旨在提供一个该领域最新进展的综合而清晰的蓝图。首先,介绍电网仿真分析与决策的概念和人工智能基本方法。然后,对人工智能在安全评估、稳定评估、潮流调整、安全控制、稳定控制、优化运行中的应用进行综述,系统地总结其思路、方法与优劣。尽管现有研究已经取得了不错的效果,但是人工智能应用过程中在知识建模、数据需求、特征提取以及迁移能力等方面还面临着不少挑战。该文在讨论这些挑战的同时,给出未来值得探索的研究方向。

关键词：电网仿真分析决策人工智能深度学习强化学习