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Unbalanced Graph Multi-Scale Fusion Node Classification Method

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 557-565页

作者：张静克何新林戚宗锋马超李建勋 State Key Laboratory of CEMEE Luoyang 471003HenanChina School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Graphs are used as a data structure to describe complex relationships between things.The node classification method based on graph network plays an important role in practical applications.None of the existing graph node classification methods consider the uneven distribution of node labels.In this paper,a graph convolution algorithm on a directed graph is designed for the distribution of unbalanced graph nodes to realize node classification based on multi-scale fusion graph convolution network.This method designs different propagation depths for each class according to the unbalance ratio on the data set,and different aggregation functions are designed at each layer of the graph convolutional network based on the class propagation depth and the graph adjacency matrix.The scope of information dissemination of positive samples is expanded relatively,thereby improving the accuracy of classification of unbalanced graph nodes.Finally,the effectiveness of the algorithm is verified through experiments on the public text classification datasets.

关键词： node classification unbalanced learning text classification

Numerical simulation of the behaviors of test square for prehistoric earthen sites during archaeological excavation

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第3期10卷 567-578页

作者： Xudong Wang Zongren Yu jingke zhang Qinglin Guo Shanlong Yang Manli Sun Key Laboratory of Mechanics on Environment and Disaster in Western China School of Civil Engineering and Mechanics Lanzhou University National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites Dunhuang Academy School of Cultural Heritage Northwest University

During the process of archaeological excavation in the regions of Southeast China, collapse of test square usually occurs due to poor site-specific conditions. In this paper, the fast Lagrangian analysis of continua in three dimensions（FLAC3D） is employed to reveal the behaviors of test square. Taking the archaeological works in Liangzhu prehistoric earthen sites as the research background, the paper first introduces the geological setting, excavation procedure and monitoring scheme of the studied test square. Then, the deformation of four sides of the test square is modeled using FLAC3D. By comparison, it shows that the numerical results are consistent with the results from field monitoring. The result suggests that the numerical simulation can be effectively applied to representing the actual behaviors of the test square,which is helpful for determination of excavation scheme and stability evaluation of the test square during archaeological excavation.

关键词： Prehistoric earthen site Archaeological excavation Test square behaviors Field monitoring Numerical simulations

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电商平台“二选一”行为的反垄断法规制

运城学院学报 2024年第2期42卷 64-69页

作者：肖薇张静可合肥工业大学文法学院合肥230009

电商平台“二选一”行为本质上属于排他性交易,目的是通过排除、限制竞争,达到市场垄断地位。当前《电子商务法》《反不正当竞争法》和《反垄断法》在规制“二选一”行为方面存在体系错位的理论难题以及操作性、适用性不强的现实障碍,... 详细信息

电商平台“二选一”行为本质上属于排他性交易,目的是通过排除、限制竞争,达到市场垄断地位。当前《电子商务法》《反不正当竞争法》和《反垄断法》在规制“二选一”行为方面存在体系错位的理论难题以及操作性、适用性不强的现实障碍,应充分认识“二选一”行为的危害,以《反垄断法》为破局关键,明确合理抗辩的认定标准,引入滥用相对优势地位条款,加强消费者隐私保护,完善平台监管体系。

关键词：电商平台 “二选一”行为排他性交易反垄断法

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高层建筑项目安全风险评价模型分析

科学技术创新 2024年第13期 149-152页

作者：张景科甘肃荣铖建设工程有限公司甘肃兰州

高层建筑项目的特殊性决定了施工过程中面临着很多施工安全问题。在对实际工程案例进行简要分析的基础上,利用层次分析法构建了安全风险评价模型,共设置4个一级影响因素,16个二级影响因素。通过分析发现有多个二级影响因素的权重值较大... 详细信息

高层建筑项目的特殊性决定了施工过程中面临着很多施工安全问题。在对实际工程案例进行简要分析的基础上,利用层次分析法构建了安全风险评价模型,共设置4个一级影响因素,16个二级影响因素。通过分析发现有多个二级影响因素的权重值较大,如工程总包与专业分包安全管理合理性、夏季雨季冬季天气作业等,说明这些因素对施工安全有重要影响,对于这类影响因素施工时要制定针对性的措施进行防范,以此保障施工过程人员及财产的安全,为企业创造更大的经济效益。

关键词：高层建筑安全风险评价模型层次分析法

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空天目标雷达智能识别仿真系统设计与实现

现代防御技术 2024年第2期52卷 151-162页

作者：艾小锋吴静张静克朱义奇徐志明吴其华国防科技大学电子科学学院湖南长沙410073 电子信息系统复杂电磁环境效应国家重点实验室河南洛阳471003

雷达智能识别方法训练、测试与评估通常需要构建大样本的数据集,如何快速获得有效的数据集是亟待解决的问题。分析了空天目标雷达智能识别系统应用场景,并结合应用需求给出了空天目标雷达智能识别仿真系统建设思路;采用组件化、模块化... 详细信息

雷达智能识别方法训练、测试与评估通常需要构建大样本的数据集,如何快速获得有效的数据集是亟待解决的问题。分析了空天目标雷达智能识别系统应用场景,并结合应用需求给出了空天目标雷达智能识别仿真系统建设思路;采用组件化、模块化设计方法,设计空天目标雷达智能识别仿真系统框架,构建空天目标智能识别仿真系统,快速准确模拟空天目标电磁特性和动态回波,具有可扩展、可重构能力。仿真结果和初步应用表明,该系统可用于不同应用场景下空天目标雷达智能识别方法的测试与评估。

关键词：空天目标智能识别目标特性雷达回波仿真组件化

服役高速列车车体铝合金材料率相关剩余强度预测

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中南大学学报（自然科学版） 2024年第5期55卷 2000-2010页

作者：王小瑞朱涛张敬科丁浩谞肖守讷鲁连涛杨冰阳光武西南交通大学轨道交通运载系统全国重点实验室四川成都610031

高速列车结构与材料在长期服役过程中因受复杂边界条件的影响将逐渐趋于劣化,存在潜在的安全风险。本文以高速列车常用铝合金6005A-T6为对象,首先将材料细观微结构解耦为基体相与空洞相,推导符合微结构连续度Weibull分布特征的损伤演化... 详细信息

高速列车结构与材料在长期服役过程中因受复杂边界条件的影响将逐渐趋于劣化,存在潜在的安全风险。本文以高速列车常用铝合金6005A-T6为对象,首先将材料细观微结构解耦为基体相与空洞相,推导符合微结构连续度Weibull分布特征的损伤演化方程;继而提出一种考虑应变率的试验−数值方法,识别材料颈缩后损伤的加速演化行为,进而推导得到覆盖空洞相萌生、生长、聚合全过程的损伤演化方程,并得出基体相的无损本构;最后结合细观物理机制提出损伤顺序交互作用模型,以实现仅测量材料表观弹性模量即可获取含先前服役损伤材料在后续延性变形中的损伤演化方程,准确预测含服役损伤材料的率相关剩余强度。研究结果表明:预测值与试验值的平均相对误差不超过1%。损伤随延性发展由应变率正敏感性转变为负敏感性;对于疲劳−延性机制,空洞在先前疲劳损伤发展的空洞基础上继续生长。

关键词：高速列车率相关本构模型损伤演化剩余强度

Dynamics and functionalities of bacterial community during foxtail millet dough fermentation by metagenomic analysis

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Journal of Future Foods 2024年第4期4卷 343-352页

作者： Junli Liu Wei Zhao Aixia zhang Pengliang Li jingke Liu Institute of Biotechnology and Food Science Hebei Academy of Agriculture and Forestry SciencesShijiazhuang 050000China

Sourdough flavors were closely related to microbial metabolism.The microbial diversity of foxtail millet dough during fermentation has never been studied.Here,the metabolic potential and diversity of the bactenial community were analyzed by metagenomic during dough fermentation.Firmicutes was the dominant phylum in the dough,within heterofementative lactic acid bacteria(e.g.Companilactobacillus,Limosilactobacillus,Pediococcus and Lactobacillus)as the most abundant bacteria.Proteobacteria was gradually inhibited after fermentation.Companilactobacillus_crustorum was notably found abundant during dough 1eavening.Limosilactobacillus_fermentum increased markedly during fermentation,while Companilactobacillus_cnustorum decreased significantly.For futher exploration,genes associated with metabolism were annotated through metagenomics.Limosilactobacillus,Companilactobacillus and Pediococcus were actively engaged in glycolysis(ko00010),starch and sucrose metabolism(ko00500),and pyruvate metabolism(ko00620),leading in part to 1actic and acetic acid acumulations and dough acidification.Limosilactobacillus and Lactiplantibacillus were the main contributors to key aninopeptidases ox/and transaminases involved in amino acid metabolism,which was nesponsible for flavor metabolite formation.This study will provide an enhanced understanding of the predominance and diversity of dough bactenial communities,and contribute to future strain screening in the dough for better flavor.

关键词： Sourdough Foxtail millet Metagenomics Gilycolysis Amino acid biosynthesis

A NEW ALKALOID FROM THE ROOTS OF REHMANNIA GLUTINOSA

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World Journal of Traditional Chinese Medicine 2015年第4期1卷 89-90页

作者： Meng Li Xiaolan Wang Wei Zhao jingke zhang Xiaoke Zheng Yanli zhang Haixue Kuang Weisheng Feng School of Pharmacy Heilongjiang University of Chinese Medicine School of Pharmacy Henan University of Traditional Chinese Medicine

The present phytochenucal study was undertaken to investigate the chemical constituents of the 95%EtOH extract of the dried roots of Rehmannia glutinosa.The compounds were isolated and purified by Diaion HP-20,Toyopea... 详细信息

关键词： A NEW ALKALOID FROM THE ROOTS OF REHMANNIA GLUTINOSA

Electromagnetic Feature Extraction of Complex Targets from Measured High Resolution SAR Imagery

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Electromagnetic Feature Extraction of Complex Targets from M...