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时变维度层次版本控制方法研究 被引量:1
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作者 刘黎志 刘军 《计算机应用》 CSCD 北大核心 2007年第1期105-107,共3页
一般维度版本控制法可以很好地解决维度记录插入、删除、更新带来的时变问题,但对维度记录的主码改变、合并、划分、移动带来的时变问题却没有很好地解决。本文在参考一般维度版本控制方法的基础上,提出了一种层次维度版本控制方法,可... 一般维度版本控制法可以很好地解决维度记录插入、删除、更新带来的时变问题,但对维度记录的主码改变、合并、划分、移动带来的时变问题却没有很好地解决。本文在参考一般维度版本控制方法的基础上,提出了一种层次维度版本控制方法,可以较好地解决由于主码改变、合并、划分、移动而带来的时变问题。 展开更多
关键词 时变维度 层次版本控制 数据仓库
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一种改进的时变维度版本控制方法
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作者 刘黎志 《计算机系统应用》 2006年第10期69-72,共4页
本文针对一般时变维度版本控制方法的不足,提出了一种改进的时变维度版本控制方法。改进后的时变维度版本控制方法可以利用星型模型方便的形成当前多维数据集和历史多维数据集,从而提高对当前数据的查询效率及正确反映维度记录的历史数据。
关键词 时变维度 版本控制 数据仓库 星型模型
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一种随机车流与桥梁耦合振动的分析方法 被引量:13
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作者 李岩 吴志文 +1 位作者 蔡明 李朝 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2018年第3期46-52,共7页
为提高随机车流作用下桥梁结构动力行为仿真分析的计算效率,提出一种时变维度的随机车流与桥梁耦合振动分析方法.联合模态综合技术和整体分析法建立了车桥耦合振动方程.通过对随机车流过桥过程的动态判别,进行车桥运动方程维度的时变更... 为提高随机车流作用下桥梁结构动力行为仿真分析的计算效率,提出一种时变维度的随机车流与桥梁耦合振动分析方法.联合模态综合技术和整体分析法建立了车桥耦合振动方程.通过对随机车流过桥过程的动态判别,进行车桥运动方程维度的时变更新,并提出了过程分析数据的动态存贮与提取算法.详细阐述了所提分析方法的总体框架和具体实现步骤.工程实例分析结果表明,在满足相对误差小于3.5%条件下,所提出的分析方法计算用时仅为传统整体分析法的14.8%,与分离迭代方法基本相同.所提出的分析方法具有较高的计算效率和分析精度,可用于相关研究和工程实际中的随机车流与桥梁耦合振动仿真分析. 展开更多
关键词 桥梁 时变 随机车流 车桥振动 动力分析
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How similar are annual and summer temperature variability in central Sweden?
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作者 ZHANG Peng Deliang CHEN +1 位作者 Hans W.LINDERHOLM ZHANG Qiong 《Advances in Climate Change Research》 SCIE CSCD 2015年第3期159-170,共12页
Tree-ring based temperature reconstructions have successfully inferred the past inter-annual to millennium scales summer temperature variability. A clear relationship between annual and summer temperatures can provide... Tree-ring based temperature reconstructions have successfully inferred the past inter-annual to millennium scales summer temperature variability. A clear relationship between annual and summer temperatures can provide insights into tile variability of past annual mean tem- perature from the reconstructed summer temperature. However, how similar are summer and annual temperatures is to a large extent still unknown. This study aims at investigating the relationship between annual and summer temperatures at different timescales in central Sweden during the last millennium. The temperature variability in central Sweden can represent large parts of Scandinavia which has been a key region for dendroclimatological research. The observed annual and summer temperatures during 1901-2005 were firstly decomposed into different frequency bands using ensemble empirical mode decomposition (EEMD) method, and then the scale-dependent relationship was quantified using Pearson correlation coefficients. The relationship between the observed annual and summer temperatures determined by the instrumental data was subsequently used to evaluate 7 climate models. The model with the best performance was used to infer the relationship for the last millennium. The results show that the relationship between the observed annual and summer temperatures becomes stronger as the timescale increases, except for the 4--16 years timescales at which it does not show any relationship. The summer temperature variability at short timescales (2--4 years) shows much higher variance than the annual variability, while the annual temperature variability at long timescales (〉32 years) has a much higher variance than the summer one. During the last millennium, the simulated summer temperature also shows higher variance at the short timescales (2-4 years) and lower variance at the long timescales (〉1024 years) than those of the annual temperature. The relationship between the two temperatures is generally close at the long timescales, and weak at the short timescales. Overall the summer temperature variability cannot well reflect the annual mean temperature variability for the study region during both the 20th century and the last millennium. Furthermore, all the climate models examined overestimate the annual mean temperature variance at the 2--4 years timescales, which indicates that the overestimate could be one of reasons why the volcanic eruption induced cooling is larger in climate models than in proxy data. 展开更多
关键词 Annual temperature Summer temperature Central Sweden Climate model simulation Scale-dependent similarity
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