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Towards energy efficient cloud:an optimized ant colony model for virtual machine placement

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Journal of Communications and Information Networks 2016年第4期1卷 116-132页

作者： zhang Liumei WANG Yichuan ZHU Lei JI wenjiang School of Computer Science Xi’an Shiyou UniversityXi’an 710065China Faculty of Computer Science and Engineering Xi’an University of TechnologyXi’an 710048China

A virtual machine placement optimization model based on optimized ant colony algorithm is *** model is able to determine the physical machines suitable for hosting migrated virtual ***,it solves the problem of redundant power consumption resulting from idle resource waste of physical ***,based on the utilization parameters of the virtual machine,idle resources and energy consumption models are *** models are dedicated to quantifying the features of virtual resource utilization and energy consumption of physical ***,a multi-objective optimization strategy is derived for virtual machine placement in cloud ***,an optimal virtual machines placement scheme is determined based on feature metrics,multi-objective optimization,and the ant colony *** results indicate that compared with the traditional genetic algorithms-based MGGA model,the convergence rate is increased by 16%,and the optimized highest average energy consumption is reduced by 18%.The model exhibits advantages in terms of algorithm efficiency and efficacy.

关键词： cloud computing energy efficient virtual machine placement multi-objective optimization ant colony optimization

基于多窗宽核密度估计的风电功率超短期自适应概率预测

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高电压技术 2024年第7期50卷 3070-3079页

作者：王森孙永辉侯栋宸周衍张文杰河海大学电气与动力工程学院南京210098 香港理工大学电机工程学系中国香港999077

精准的风电功率预测是保证新型电力系统安稳运行、促进风电消纳的重要手段。针对核密度估计所求分位数在不同置信度下鲁棒性差的问题,提出多窗宽核密度估计方法,根据不同置信度生成不同窗宽的核密度估计值,实现了风电功率的超短期自适... 详细信息

精准的风电功率预测是保证新型电力系统安稳运行、促进风电消纳的重要手段。针对核密度估计所求分位数在不同置信度下鲁棒性差的问题,提出多窗宽核密度估计方法,根据不同置信度生成不同窗宽的核密度估计值,实现了风电功率的超短期自适应概率预测。首先,结合风电功率曲线和数据驱动模型,建立基于改进双向长短期记忆网络的风电功率超短期确定性预测模型。其次,推导了最优窗宽核密度估计方法,并基于此构建多窗宽核密度估计误差拟合模型,在不同置信度下自适应生成最优窗宽并构建预测区间。最后,基于实际运行数据验证模型的可行性与有效性。结果表明,所提模型可有效提高确定性预测的精度和概率预测的鲁棒性。

关键词：超短期风电功率 BiLSTM 自适应概率预测多窗宽核密度估计

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“结构—行动”:探寻大学治理的新视角

高教论坛 2022年第7期 58-60页

作者：张文江南京大学党委宣传部江苏南京210023

秉持“结构—行动”,是拓展多元共治的现实需要,也是探寻大学治理新视角的有益尝试。把握大学治理的“结构—行动”二重属性,就是要从时空坐标把握大学治理,让大学职能成为构建大学治理结构的重要参考;从配置性资源和权威性资源相结合... 详细信息

秉持“结构—行动”,是拓展多元共治的现实需要,也是探寻大学治理新视角的有益尝试。把握大学治理的“结构—行动”二重属性,就是要从时空坐标把握大学治理,让大学职能成为构建大学治理结构的重要参考;从配置性资源和权威性资源相结合把握大学治理,让大学治理行动在制度信任、人际信任与学术导向相契合中变得可预见;从结构和行动良性互动把握大学治理,让组织与个人在结构形成和变迁中发挥正向作用。

关键词：结构-行动大学治理大学职能

基于CFD的车载LNG气瓶烘箱结构优化及试验

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机械设计与研究 2022年第6期38卷 160-167页

作者：李艳章宇庆向东来文江中国联合工程有限公司杭州310051 北京科技大学机械工程学院北京100083

车载LNG气瓶烘箱内温度的大小和均匀性决定了气瓶表面的温度分布,对气瓶抽真空速率和效果影响很大。为快速得到烘箱内流场的温度分布及其对气瓶瓶体温度的影响,建立了烘箱内气体和气瓶瓶体的流-固耦合模型,进行了CFD数值模拟,并以CFD仿... 详细信息

车载LNG气瓶烘箱内温度的大小和均匀性决定了气瓶表面的温度分布,对气瓶抽真空速率和效果影响很大。为快速得到烘箱内流场的温度分布及其对气瓶瓶体温度的影响,建立了烘箱内气体和气瓶瓶体的流-固耦合模型,进行了CFD数值模拟,并以CFD仿真结果为依据,实现了烘箱的结构优化。最后,以某企业的车载LNG气瓶烘箱为例,搭建了烘箱内流场的现场测试系统,测得了烘箱内热风的风速变化规律,并与CFD仿真结果进行了对比分析。结果表明:烘箱后端热风的流速、温度均明显大于前端,烘箱内36个气瓶的温度分布规律与流场的温度分布规律基本一致;进风管增加导流板后,烘箱内空气流速均匀性变好、整体温度升高,各气瓶的平均温度升高0℃-6℃、温度变差系数减小0.3%-2%,温度均匀性变好;测试结果显示,烘箱内热风流速测试值的变化规律与仿真结果基本一致,烘箱CFD仿真的有效性得到验证。

关键词：车载LNG气瓶抽真空烘箱 CFD 结构优化试验

资料长度对深度学习方法日径流预报效率的影响

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人民长江 2023年第3期54卷 83-89,110页

作者：杨锟张文江宋克超四川大学水利水电学院四川成都610065

长短期记忆(Long Short-Term Memory,LSTM)神经网络深度学习方法具有显著的时序分析能力,在径流预报方面有其独特的优势,但该模型预报的最优输入输出长度组合尚不太明确,探析不同输入输出长度对LSTM日径流预报效率的影响对相关应用具有... 详细信息

长短期记忆(Long Short-Term Memory,LSTM)神经网络深度学习方法具有显著的时序分析能力,在径流预报方面有其独特的优势,但该模型预报的最优输入输出长度组合尚不太明确,探析不同输入输出长度对LSTM日径流预报效率的影响对相关应用具有实际意义。以四川省西部大渡河、雅砻江、岷江支流以及嘉陵江上游等流域为研究区,选取了20个子/区间流域,试验不同长度的前期输入资料预报不同预见期下的径流,研究了不同资料长度下LSTM模型的日径流预报效率,分析了该方法在不同流域的适用性与最优输入输出长度的特征。结果表明:①以前期降水、气温以及径流作为输入,前期资料长度对预报结果影响不太明显,但预报准确性会随预见期延长而下降,采用该种输入方案的预见期不宜超过7 d;②仅以前期降水、气温资料作为输入,预报准确性会随前期资料长度增加而提高,也会随预见期的延长而下降,建议该种方案的资料长度大于7 d、预见期最好为1 d,不宜超过3 d;③径流变异性是显著影响预报效率和最优输入输出长度组合的重要因子,变异性强,则预报效果较差,对输入输出长度的敏感性偏弱。研究成果可为提高深度学习径流预报效率提供参考,有助于结合流域特性确定适用的输入输出长度组合方案。

关键词：径流预报资料长度预见期长度 LSTM 深度学习

Understory plant diversity and phenolic allelochemicals across a range of Eucalyptus grandis plantation ages

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林业研究:英文版 2023年第5期34卷 1577-1590页

作者： Jinjin Li Yumei Huang Lianghua Chen Shun Gao Jian zhang Danju zhang Sichuan Provincial Key Laboratory of Ecological Forestry Engineering College of ForestrySichuan Agricultural UniversityWenjiang 611130ChengduChina College of Landscape Architecture Sichuan Agricultural UniversityWenjiang 611130ChengduChina

Allelopathy is an important mechanism in Eucalyptus plantations that causes detrimental impacts on understory *** compounds are the main allelochemicals suppressing understory ***,the dynamic changes in phenolic allelochemicals and their relationship with understory diversity with increasing age of Eucalyptus plantations remain largely *** this study,the understory plant diversity was assessed and phenolic compounds identified from leaf litter,roots,and rhizosphere soil samples in a Eucalyptus grandis plantation at two-year intervals for ten years using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS).The abundance and diversity of under story plant species were lowest in 4-year-old plantations and increased significantly with *** phenolic acids and 10 flavonoids were identified from leaf litter,roots,and rhizosphere *** of the potential phenolic allelochemicals,such as salicylic acid,gallic acid,4-hydroxybenzoic acid,and epicatechin,were more abundant in younger plantations,especially at4 years *** concentrations of phenolic compounds in the rhizosphere zone were significantly lower than in litter and root samples and did not change significantly with an increase in ***,phenolic compounds contributed more to the variation in the understory plants than soil *** acid,ellagic acid,quercetin,salicylic acid,and 4-hydroxybenzoic acid were the main phenolic compounds explaining the variation in plant diversity with plantation *** findings indicate that young *** plantations,especially at four years of age,merit a greater focus because of their lower understory plant diversity and higher allelopathic potential.

关键词： Eucalyptus grandis Phenolic compounds Understory plant diversity Plantation age

A self-supported heterogeneous bimetallic phosphide array electrode enables efficient hydrogen evolution from saline water splitting

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Nano Research 2023年第3期16卷 3658-3664页

作者： Jingwen Li Min Song Yezhou Hu Chang zhang Wei Liu Xiao Huang Jingjing zhang Ye Zhu Jian zhang Deli Wang Key Laboratory of Material Chemistry for Energy Conversion and Storage(Huazhong University of Science and Technology) Ministry of EducationHubei Key Laboratory of Material Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074China Department of Applied Physics Research Institute for Smart EnergyThe Hong Kong Polytechnic UniversityHung HomKowloonHongkong 999077China

Hydrogen generation from water splitting is of great prospect for the sustainable energy ***,it is still challenging to explore stable and high-performance electrocatalysts toward hydrogen evolution reaction(HER)from saline water such as seawater due to the chloride ***,we developed a self-supported heterogeneous bimetallic phosphide(Ni_(2)P-FeP)array electrode that possesses excellent HER performance in alkaline saline water with an overpotential of 89 mV at 10 mA·cm^(−2)and long-term stability over 90 h at 200 mA·cm^(−2).The analysis showed that the heterostructure between the interfaces of Ni_(2)P-FeP plays a pivotal role in promoting the activity of ***,the bimetallic phosphide nanoarrays can be employed as a shield for chlorine-corrosion resistance in the saline water,ensuring the long-term durability of hydrogen *** employed for alkaline saline water electrolysis,a current density of 100 mA·cm^(−2)is achieved at cell voltage of 1.68 *** work presents an effective approach for the fabrication of high-performance electrode for HER in alkaline saline environments.

关键词： saline water splitting hydrogen evolution reaction bimetallic phosphides chlorine-corrosion resistance

Directed Acyclic Graph Blockchain for Secure Spectrum Sharing and Energy Trading in Power IoT

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China Communications 2023年第5期20卷 182-197页

作者： Zixi zhang Mingxia zhang Yu Li Bo Fan Li Jiang School of Automation Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing(Guangdong University of Technology)Guangzhou 510006China Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology (Chongqing Technology and Business University)Chongqing 40067China Beijing Key Laboratory of Traffic Engineering College of Metropolitan Transportation(Beijing University of Technology)Beijing 100124China

Peer-to-peer(P2P)spectrum sharing and energy trading are promising solutions to locally satisfy spectrum and energy demands in power Internet of Things(IoT).However,implementation of largescale P2P spectrum sharing and energy trading confronts security and privacy *** this paper,we exploit consortium blockchain and Directed Acyclic Graph(DAG)to propose a new secure and distributed spectrum sharing and energy trading framework in power IoT,named spectrum-energy chain,where a set of local aggregators(LAGs)cooperatively confirm the identity of the power devices by utilizing consortium blockchain,so as to form a main ***,the local power devices verify spectrum and energy micro-transactions simultaneously but asynchronously to form local spectrum tangle and local energy tangle,***,an iterative double auction based micro transactions scheme is designed to solve the spectrum and energy pricing and the amount of shared spectrum and energy among power *** analysis and numerical results illustrate that the developed spectrum-energy chain and the designed iterative double auction based microtransactions scheme are secure and efficient for spectrum sharing and energy trading in power IoT.

关键词： power Internet of Things(IoT) spectrum sharing energy trading security and privacy consortium blockchain Directed Acyclic Graph(DAG) iterative double auction

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科研创新工作时间管理的探索与实践

中国港湾建设 2024年第8期44卷 99-102页

作者：张月欣林巍中国交通建设股份有限公司南方分公司广东深圳518000 中交公路规划设计研究院北京100010

为了解决科研工作中常见的时间管理问题,以中交集团粤港澳大湾区创新研究院的一个创新团队为研究对象,通过收集工作的计划完成时间、实际完成时间以及其他事项所需时间等真实数据,分析科研工作的特点,探讨了科研时间管理的策略,并提出... 详细信息

为了解决科研工作中常见的时间管理问题,以中交集团粤港澳大湾区创新研究院的一个创新团队为研究对象,通过收集工作的计划完成时间、实际完成时间以及其他事项所需时间等真实数据,分析科研工作的特点,探讨了科研时间管理的策略,并提出了一系列实践方案。实践应用证明,灵活的科研时间管理规划和任务分配能有效提高科研人员的工作效率和科研成果的质量,为科研团队提供了可行的时间管理指南。

关键词：创新科研时间效率实践质量