检索结果-南通市图书馆

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

在线全文

学校读者我要写书评

暂无评论

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 outperforms the MAPPO approach by around 2% and

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

“Series and parallel” design of ether linkage and imidazolium cation synergistically regulated four-armed polymerized ionic liquid for all-solid-state polymer electrolyte

在线全文

学校读者我要写书评

暂无评论

Chinese Chemical Letters 2022年第3期33卷 1407-1411页

作者： zehui xie Yang Zhou Canhui Ling Xinlin Zhu Zhao Fang Xiaolong Fu Wuwei Yan Yong Yang Key Laboratory of Soft Chemistry and Functional Materials Ministry of EducationSchool of Chemistry and Chemical EngineeringNanjing University of Science and TechnologyNanjing 210094China The Green Aerotechnics Research Institute of Chongqing Jiaotong University Chongqing 401120China Xi'an Modern Chemistry Research Institute Xi'an 710065China Shenzhen BTR Nanotechnology Company Ltd.Shenzhen 518106China

Developing all-solid-state polymer electrolytes(SPEs) with high electrochemical performances and stability is of great importance for exploiting of high energy density and safe batteries. Herein, ether linkage and imidazolium ionic liquid(ILs) are incorporated into the multi-armed polymer backbone though the series and parallel way. The parallel polymeric ionic liquid(P-P(PEGMA-IM)) maximizes the synergistic effect of ILs and ether linkage, which endowed the material with low crystallinity and high flame retardancy. The P-P(PEGMA-IM) based P-SPE presents a high ionic conductivity of 0.489 m S/cm at 60°C, an excellent lithium-ion transference number of 0.46 and a wide electrochemical window of 4.87 V.The assembled lithium metal battery using P-SPE can deliver a capacity of 151 m Ah/g at 0.2 C, and the capacity retention ratio reaches 82% with a columbic efficiency beyond 99%. The overpotential of P-SPE based symmetric battery is 0.08 V, and there is no apparent magnifying even after 130 h cycling. This new design provides a new avenue for exploitation of advanced SPEs for the next-generation batteries.

关键词： Series and parallel Polymer electrolyte All-solid-state Lithium metal battery Four-armed

Extracellular vesicles from human urine-derived stem cells delay aging through the transfer of PLAU and TIMP1

在线全文

学校读者我要写书评

暂无评论

Acta Pharmaceutica Sinica B 2024年第3期14卷 1166-1186页

作者： Shanshan Rao zehui He Zun Wang Hao Yin Xiongke Hu Yijuan Tan Tengfei Wan Hao Zhu Yi Luo Xin Wang Hongming Li Zhenxing Wang Xinyue Hu Chungu Hong Yiyi Wang Mingjie Luo Wei Du Yuxuan Qian Siyuan Tang Hui xie Chunyuan Chen Department of Orthopedics Movement System Injury and Repair Research CenterXiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Angmedicine Changsha 410008China Xiangya School of Nursing Central South UniversityChangsha 410013China Department of Pediatric Orthopedics Hunan Children’s HospitalUniversity of South ChinaChangsha 410007China Department of Respiratory Medicine Xiangya HospitalCentral South UniversityChangsha 410008China School of Nursing Xinjiang Medical UniversityUrumqiXinjiang 830000China Department of Rehabilitation Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China

Aging increases the risks of various diseases and the vulnerability to death.Cellular senescence is a hallmark of aging that contributes greatly to aging and aging-related diseases.This study demonstrates that extracellular vesicles from human urine-derived stem cells(USC-EVs)efficiently inhibit cellular senescence in vitro and in vivo.The intravenous injection of USC-EVs improves cognitive function,increases physical fitness and bone quality,and alleviates aging-related structural changes in different organs of senescence-accelerated mice and natural aging mice.The anti-aging effects of USC-EVs are not obviously affected by the USC donors’ages,genders,or health status.Proteomic analysis reveals that USC-EVs are enriched with plasminogen activator urokinase(PLAU)and tissue inhibitor of metalloproteinases 1(TIMP1).These two proteins contribute importantly to the anti-senescent effects of USC-EVs associated with the inhibition of matrix metalloproteinases,cyclin-dependent kinase inhibitor 2A(P16INK4a),and cyclin-dependent kinase inhibitor 1A(P21cip1).These findings suggest a great potential of autologous USC-EVs as a promising anti-aging agent by transferring PLAU and TIMP1 proteins.

关键词： Extracellular vesicles Urine-derived stem cells Cellular senescence Anti-aging PLAU TIMP1 Senescence-accelerated mice Natural aging mice

在线全文

学校读者我要写书评

暂无评论

列车自主控制系统在道岔安全区域的控制算法

城市轨道交通研究 2024年第1期27卷 27-32页

作者：王延峰谢泽会郑州轻工业大学电气信息工程学院郑州450002

[目的]与现有CBTC(基于通信的列车自动控制)系统控制机理不同,列车自主控制系统通过直接控制轨旁资源实现列车自主运行。为了提高道岔区段的运行效率,需研究列车自主控制系统在道岔区段的控制算法,采用颗粒度更小的道岔安全区域作为列... 详细信息

[目的]与现有CBTC(基于通信的列车自动控制)系统控制机理不同,列车自主控制系统通过直接控制轨旁资源实现列车自主运行。为了提高道岔区段的运行效率,需研究列车自主控制系统在道岔区段的控制算法,采用颗粒度更小的道岔安全区域作为列车自主控制系统的控制资源。[方法]列车自主控制系统的控制算法将轨道区段视为共享资源,道岔安全区域单独分配给列车使用。对单开道岔区段和交叉道岔区段场景下的列车自主控制系统和CBTC系统进行了对比分析,并采用真实列车控制系统和道岔的参数进行仿真计算运行提升效率。[结果及结论]与CBTC系统的传统联锁算法相比,列车自主控制系统的道岔安全区域控制算法性能更好。在单开道岔区段场景中,列车运行安全间隔提升率最大达到74.5%;在交叉道岔区域场景中,列车道岔通过时间提升率最大达到33.8%。通过在系统架构和控制算法上的优化,列车自主控制系统增加系统灵活性和效率,为下一代列车控制系统重要发展方向。

关键词：城市轨道交通列车自主控制系统道岔安全区域道岔控制算法

在线全文

学校读者我要写书评

暂无评论

韩国公共体育设施实践路径解析及启示

体育科技文献通报 2024年第5期32卷 87-90,103页

作者：谢泽辉余威韩国岭南大学体育科学学院韩国庆山38541 四川农业大学四川雅安625014

目的:梳理韩国公共体育设施实践路径,探寻其发展规律,以期为我国公共体育设施的可持续发展提供理论借鉴。方法:运用文献资料法、田野调查法,对韩国公共体育设施相关资料进行收集、整理。结果:韩国坚持政策先行为指导,不断完善法律法规体... 详细信息

目的:梳理韩国公共体育设施实践路径,探寻其发展规律,以期为我国公共体育设施的可持续发展提供理论借鉴。方法:运用文献资料法、田野调查法,对韩国公共体育设施相关资料进行收集、整理。结果:韩国坚持政策先行为指导,不断完善法律法规体系,引导公共体育设施的优化配置;坚持项目推进为依托,提高公共体育设施的推广和利用率;坚持管教结合为抓手,推动公共体育设施服务的可持续发展。启示:以构建标准化、科学化顶层设计为蓝图,完善制度体系;以需求为导向,扎实推进基础设施建设,改善不均衡格局;以政策为指导,利用多元化支援和宣传渠道,促进市场化改革;以可持续化为目标,推动管理和服务协同发展,提升人民幸福感。

关键词：体育设施公共体育设施体育产业实践路径

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

硫酸钙晶须的制备及应用研究进展

中国井矿盐 2024年第3期55卷 1-2,5页

作者：赵梅童启邦谢佳俊魏洪新刘待成郑泽辉郭勇四川久大蓬莱盐化有限公司四川大英629300 泸州职业技术学院四川泸州646000 成都柏森环保科技有限公司四川成都610095 四川大学四川成都610065

硫酸钙晶须是一种性能优良的改性增强材料,但由于目前制备的硫酸钙晶须的产率较低、质量较差,致使其在实际应用中受到一定的限制。为推动该问题的解决,本文介绍了当前硫酸钙晶须的制备方法,分析了各方法的优缺点,并介绍了硫酸钙晶须在... 详细信息

硫酸钙晶须是一种性能优良的改性增强材料,但由于目前制备的硫酸钙晶须的产率较低、质量较差,致使其在实际应用中受到一定的限制。为推动该问题的解决,本文介绍了当前硫酸钙晶须的制备方法,分析了各方法的优缺点,并介绍了硫酸钙晶须在材料改性及环境材料等方面的应用,对今后硫酸钙晶须的开发及应用研究提出了一些建议。

关键词：硫酸钙晶须制备应用

落叶松尺蛾核型多角体病毒形态特征及分子检测技术建立

在线全文

学校读者我要写书评

暂无评论

陆地生态系统与保护学报 2024年第1期4卷 59-65页

作者：王少博谢丹洁张泽辉刘云朋孔德治王青华曲良建中国林业科学研究院森林生态环境与自然保护研究所国家林业和草原局森林保护学重点实验室北京100091 北京蓝狐天敌技术有限公司北京100089 河北省塞罕坝机械林场北曼甸分场河北围场068450

【目的】落叶松尺蛾核型多角体病毒(Erannis ankeraria nucleopolyhedrovirus,EranNPV)是有效调控落叶松尺蛾种群数量和质量的重要生物因子,明确EranNPV超微形态学结构,研究并建立其精准灵敏的分子(PCR)快速检测技术,有助于深入探究该... 详细信息

【目的】落叶松尺蛾核型多角体病毒(Erannis ankeraria nucleopolyhedrovirus,EranNPV)是有效调控落叶松尺蛾种群数量和质量的重要生物因子,明确EranNPV超微形态学结构,研究并建立其精准灵敏的分子(PCR)快速检测技术,有助于深入探究该病毒的传播机制和林间流行规律,从而为利用该病毒持续控制落叶松尺蛾提供技术支撑。【方法】利用扫描电镜和透射电镜对EranNPV多角体的外部形态和内部结构特征进行观察;根据EranNPV的ac54基因设计用于PCR检测的特异性引物EaV,通过多种昆虫病毒的PCR扩增结果验证引物特异性,测试该PCR检测技术体系对EranNPV基因组DNA和病毒悬浮液的灵敏性。【结果】电镜观察结果表明,该病毒多角体多为表面光滑的不规则多面体,少数多角体表面散布孔洞凹陷,平均直径为1.43±0.20μm,多角体内的病毒粒子呈单束分布,平均长度为219.14±17.50 nm;以EaV为引物,只有EranNPV能够扩增到目的条带,利用EaV为引物建立的PCR检测技术对EranNPV基因组DNA的检测灵敏度可达10 fg/mL,对EranNPV悬浮液的检测灵敏度可达1×102 OBs/mL。【结论】EranNPV为典型的单粒包埋型核型多角体病毒,利用EaV引物建立的PCR检测技术具有高度的特异性和灵敏度,有望进一步应用于EranNPV的林间传播和流行病学研究当中。

关键词：落叶松尺蛾核型多角体病毒扫描电镜透射电镜 PCR检测

基于强化学习的1型糖尿病胰岛素给药策略研究

在线全文

学校读者我要写书评

暂无评论

计算机应用研究 2023年第9期40卷 2765-2769页

作者：焦泽辉解柏森孙福权东北大学信息科学与工程学院沈阳110000 东北大学秦皇岛分校数学与统计学院河北秦皇岛066000

1型糖尿病(T1D)患者需要通过外源性胰岛素的输送将血糖(BG)维持在治疗范围内。目前,已有的几种基于模型预测控制和强化学习(RL)的胰岛素给药算法存在样本效率差、奖励机制过于简单、血糖调控效果不佳等问题。为此提出了一种基于强化学... 详细信息

1型糖尿病(T1D)患者需要通过外源性胰岛素的输送将血糖(BG)维持在治疗范围内。目前,已有的几种基于模型预测控制和强化学习(RL)的胰岛素给药算法存在样本效率差、奖励机制过于简单、血糖调控效果不佳等问题。为此提出了一种基于强化学习的带有指导网络的胰岛素给药策略(insulin administration strategy with guided network,IASGN),针对给药策略安全性能和快速性的特点,引入累积情节奖励和分类经验回放方法,按照不同的重要性采样权重增加了精英样本池,并基于精英样本池训练给药指导网络,对策略网络进行动作指导,改进了奖励机制,在FDA批准的UVA/Padova T1D模拟器中验证了该方法的性能。结果显示,该方法TIR(time in range)达到了98.21%,TBR(time below range)接近于0,CVGA中所有患者均处于A+B区的安全范围,可以使患者血糖长期处于正常范围内,避免了低血糖的风险,在与基准方法对比中也获得了更好的表现。

关键词：强化学习 1型糖尿病治疗胰岛素给药策略精英样本池指导网络

在线全文

学校读者我要写书评

暂无评论

动态广告设计中数字媒体艺术的应用价值

玩具世界 2023年第1期 165-167页

作者：谢泽惠武汉传媒学院

动态广告作为数字媒体艺术进一步发展的产物，最明显的特征就是其内容以及色彩较为丰富，无论是从听觉上还是视觉上都能够给大众更加新奇的感受。当下广告行业的市场竞争越来越激烈，为了提升动态广告的设计质量，文章重点阐述数字媒体... 详细信息

动态广告作为数字媒体艺术进一步发展的产物，最明显的特征就是其内容以及色彩较为丰富，无论是从听觉上还是视觉上都能够给大众更加新奇的感受。当下广告行业的市场竞争越来越激烈，为了提升动态广告的设计质量，文章重点阐述数字媒体艺术及其在动态广告设计中的应用特征，明确数字媒体艺术在动态广告设计中的价值体现，提出数字媒体艺术在动态广告设计中的应用策略，以期推动国内广告艺术产业的进一步发展。

关键词：动态广告设计数字媒体艺术广告艺术