文章基于CNKI、Web of Science两大数据库2005—2024年收录的图书馆学习空间研究文献,运用CiteSpace、Bicomb、SPSS软件进行可视化分析。结果显示,国外研究以技术驱动创新为主导,聚焦智能化技术与跨学科应用;而国内研究呈现理论创新与...文章基于CNKI、Web of Science两大数据库2005—2024年收录的图书馆学习空间研究文献,运用CiteSpace、Bicomb、SPSS软件进行可视化分析。结果显示,国外研究以技术驱动创新为主导,聚焦智能化技术与跨学科应用;而国内研究呈现理论创新与实践探索并重,通过大数据、AI等技术形成本土化解决方案。文章提出通过数字技术与人文关怀的平衡发展、国际化视野与本土化创新的有机结合、理论研究与实践应用的深度融合,为我国图书馆学习空间的研究提供借鉴与参考。展开更多
Outlier detection has very important applied value in data mining literature. Different outlier detection algorithms based on distinct theories have different definitions and mining processes. The three-dimensional sp...Outlier detection has very important applied value in data mining literature. Different outlier detection algorithms based on distinct theories have different definitions and mining processes. The three-dimensional space graph for constructing applied algorithms and an improved GridOf algorithm were proposed in terms of analyzing the existing outlier detection algorithms from criterion and theory. Key words outlier - detection - three-dimensional space graph - data mining CLC number TP 311. 13 - TP 391 Foundation item: Supported by the National Natural Science Foundation of China (70371015)Biography: ZHANG Jing (1975-), female, Ph. D, lecturer, research direction: data mining and knowledge discovery.展开更多
We study in this paper a Hilbert space HV associated with the coarse geometry of an infinite connected graph X(V, E) with vertex set V and edge set E. We show that X(V,E) is uniformly expanding if and only ifl2(V)can ...We study in this paper a Hilbert space HV associated with the coarse geometry of an infinite connected graph X(V, E) with vertex set V and edge set E. We show that X(V,E) is uniformly expanding if and only ifl2(V)can be continuously included in HV as a closed subspace,and that the inner product structure of HV is topologically invariant under uniform coarsening of the graph. We also discuss the functorial properties of these Hilbert spaces.展开更多
In this paper, we propose a new perspective to discuss the N-order fixed point theory of set-valued and single-valued mappings. There are two aspects in our work: we first define a product metric space with a graph fo...In this paper, we propose a new perspective to discuss the N-order fixed point theory of set-valued and single-valued mappings. There are two aspects in our work: we first define a product metric space with a graph for the single-valued mapping whose conversion makes the results and proofs concise and straightforward, and then we propose an <em>SG</em>-contraction definition for set-valued mapping which is more general than some recent contraction’s definition. The results obtained in this paper extend and unify some recent results of other authors. Our method to discuss the N-order fixed point unifies <em>N</em>-order fixed point theory of set-valued and single-valued mappings.展开更多
By introducing the notions of L-spaces and L_r-spaces, a complete generalization of Kalton's closed graph theorem is obtained. It points out the class of L_r-spaces is the maximal class of range spaces for the clo...By introducing the notions of L-spaces and L_r-spaces, a complete generalization of Kalton's closed graph theorem is obtained. It points out the class of L_r-spaces is the maximal class of range spaces for the closed graph theorem when the class of domain spaces is the class of Mackey spaces with weakly * sequentially complete dual.Some examples are constructed showing that the class of L_r-spaces is strictly larger than the class of separable B_r-complete spaces.Some properties of L-spaces and L_r-spaces are discussed and the relations between B-complete (resp. B_r-complete) spaces and L-spaces (resp. L_r-spaces) are given.展开更多
针对高比例新能源并网下光伏集群功率预测面临的复杂空间关联量化建模、功率波动空间传播及技术异质性表征等挑战,该文提出一种基于图状态空间模型(graph state space model,GSSM)的短期同预测方法。首先,通过可学习权重自适应融合光伏...针对高比例新能源并网下光伏集群功率预测面临的复杂空间关联量化建模、功率波动空间传播及技术异质性表征等挑战,该文提出一种基于图状态空间模型(graph state space model,GSSM)的短期同预测方法。首先,通过可学习权重自适应融合光伏电站的地理邻近性、技术相似性与电气耦合性构建多尺度图,精准量化电站间动态关联;其次,建立连续时间状态空间方程,显式引入图扩散项,以物理驱动方式刻画气象扰动在集群中的连续传播过程;最后,利用选择性扫描机制,依据气象特征与电站元数据动态调整模型参数,增强对瞬态气象事件的响应能力,并通过多步预测器完成光伏集群的短期协同预测。基于公开数据集PVOD的实验与算例分析表明,GSSM方法在训练效率、预测精度及稳定性上均显著优于长短时记忆(long short-term memory,LSTM)网络、时空图卷积网络(spatio-temporal graph convolutional networks,STGCN)等基线模型方法,并能有效适应异质性光伏集群场景。该研究可为电网调度提供有力技术支持,助力高比例新能源系统安全运行。展开更多
2013年以来,随着寒冷地区资源开发利用与工程建设规模不断扩大,国内外冻融岩石力学研究发展迅速。论文以2013~2020年Web of Science和CNKI数据库收录的冻融岩石力学领域相关论文为数据源,使用文献可视化软件CiteSpace构建了国内外冻融...2013年以来,随着寒冷地区资源开发利用与工程建设规模不断扩大,国内外冻融岩石力学研究发展迅速。论文以2013~2020年Web of Science和CNKI数据库收录的冻融岩石力学领域相关论文为数据源,使用文献可视化软件CiteSpace构建了国内外冻融岩石力学研究的关键词共现网络、热点知识演进时区视图和发文高产机构知识图谱,并进行了图谱可视化分析。结合统计结果与知识图谱研究发现:(1)国内外冻岩力学研究处于快速发展阶段,参与国家和创新性研究成果逐年增加,研究状态火热;(2)论文在核心期刊与研究机构中的分布集中度较高,企业、科研院所课题研究参与度较低,难以发挥"产学研"综合优势;(3)热点研究可概括为冻融岩石多尺度力学损伤特性、裂隙岩体冻融损伤机制、岩石本构模型及数值模拟研究;(4)岩石多场耦合作用、成熟研究成果的工程转化运用将是后续研究的重点关注方向。展开更多
文摘文章基于CNKI、Web of Science两大数据库2005—2024年收录的图书馆学习空间研究文献,运用CiteSpace、Bicomb、SPSS软件进行可视化分析。结果显示,国外研究以技术驱动创新为主导,聚焦智能化技术与跨学科应用;而国内研究呈现理论创新与实践探索并重,通过大数据、AI等技术形成本土化解决方案。文章提出通过数字技术与人文关怀的平衡发展、国际化视野与本土化创新的有机结合、理论研究与实践应用的深度融合,为我国图书馆学习空间的研究提供借鉴与参考。
文摘Outlier detection has very important applied value in data mining literature. Different outlier detection algorithms based on distinct theories have different definitions and mining processes. The three-dimensional space graph for constructing applied algorithms and an improved GridOf algorithm were proposed in terms of analyzing the existing outlier detection algorithms from criterion and theory. Key words outlier - detection - three-dimensional space graph - data mining CLC number TP 311. 13 - TP 391 Foundation item: Supported by the National Natural Science Foundation of China (70371015)Biography: ZHANG Jing (1975-), female, Ph. D, lecturer, research direction: data mining and knowledge discovery.
基金This research is supported by the NSF from Shanghai Science and Technology Commission, No.01ZA14003.
文摘We study in this paper a Hilbert space HV associated with the coarse geometry of an infinite connected graph X(V, E) with vertex set V and edge set E. We show that X(V,E) is uniformly expanding if and only ifl2(V)can be continuously included in HV as a closed subspace,and that the inner product structure of HV is topologically invariant under uniform coarsening of the graph. We also discuss the functorial properties of these Hilbert spaces.
文摘In this paper, we propose a new perspective to discuss the N-order fixed point theory of set-valued and single-valued mappings. There are two aspects in our work: we first define a product metric space with a graph for the single-valued mapping whose conversion makes the results and proofs concise and straightforward, and then we propose an <em>SG</em>-contraction definition for set-valued mapping which is more general than some recent contraction’s definition. The results obtained in this paper extend and unify some recent results of other authors. Our method to discuss the N-order fixed point unifies <em>N</em>-order fixed point theory of set-valued and single-valued mappings.
文摘By introducing the notions of L-spaces and L_r-spaces, a complete generalization of Kalton's closed graph theorem is obtained. It points out the class of L_r-spaces is the maximal class of range spaces for the closed graph theorem when the class of domain spaces is the class of Mackey spaces with weakly * sequentially complete dual.Some examples are constructed showing that the class of L_r-spaces is strictly larger than the class of separable B_r-complete spaces.Some properties of L-spaces and L_r-spaces are discussed and the relations between B-complete (resp. B_r-complete) spaces and L-spaces (resp. L_r-spaces) are given.
文摘针对高比例新能源并网下光伏集群功率预测面临的复杂空间关联量化建模、功率波动空间传播及技术异质性表征等挑战,该文提出一种基于图状态空间模型(graph state space model,GSSM)的短期同预测方法。首先,通过可学习权重自适应融合光伏电站的地理邻近性、技术相似性与电气耦合性构建多尺度图,精准量化电站间动态关联;其次,建立连续时间状态空间方程,显式引入图扩散项,以物理驱动方式刻画气象扰动在集群中的连续传播过程;最后,利用选择性扫描机制,依据气象特征与电站元数据动态调整模型参数,增强对瞬态气象事件的响应能力,并通过多步预测器完成光伏集群的短期协同预测。基于公开数据集PVOD的实验与算例分析表明,GSSM方法在训练效率、预测精度及稳定性上均显著优于长短时记忆(long short-term memory,LSTM)网络、时空图卷积网络(spatio-temporal graph convolutional networks,STGCN)等基线模型方法,并能有效适应异质性光伏集群场景。该研究可为电网调度提供有力技术支持,助力高比例新能源系统安全运行。
文摘2013年以来,随着寒冷地区资源开发利用与工程建设规模不断扩大,国内外冻融岩石力学研究发展迅速。论文以2013~2020年Web of Science和CNKI数据库收录的冻融岩石力学领域相关论文为数据源,使用文献可视化软件CiteSpace构建了国内外冻融岩石力学研究的关键词共现网络、热点知识演进时区视图和发文高产机构知识图谱,并进行了图谱可视化分析。结合统计结果与知识图谱研究发现:(1)国内外冻岩力学研究处于快速发展阶段,参与国家和创新性研究成果逐年增加,研究状态火热;(2)论文在核心期刊与研究机构中的分布集中度较高,企业、科研院所课题研究参与度较低,难以发挥"产学研"综合优势;(3)热点研究可概括为冻融岩石多尺度力学损伤特性、裂隙岩体冻融损伤机制、岩石本构模型及数值模拟研究;(4)岩石多场耦合作用、成熟研究成果的工程转化运用将是后续研究的重点关注方向。
