在关系数据库中,函数依赖发现是一种十分重要的数据库分析技术,在知识发现、数据库语义分析、数据质量评估以及数据库设计等领域有着广泛的应用.现有的函数依赖发现算法主要针对集中式数据,通常仅适用于数据规模比较小的情况.在大数据...在关系数据库中,函数依赖发现是一种十分重要的数据库分析技术,在知识发现、数据库语义分析、数据质量评估以及数据库设计等领域有着广泛的应用.现有的函数依赖发现算法主要针对集中式数据,通常仅适用于数据规模比较小的情况.在大数据背景下,分布式环境函数依赖发现更富有挑战性.提出了一种分布式环境下大数据的函数依赖发现算法,其基本思想是首先在各个节点利用本地数据并行进行函数依赖发现,基于以上发现的结果对函数依赖候选集进行剪枝,然后进一步利用函数依赖的左部(left hand side,LHS)的特征,对函数依赖候选集进行分组,针对每一组候选函数依赖并行执行分布式环境发现算法,最终得到所有函数依赖.对不同分组情况下所能检测的候选函数依赖数量进行了分析,在算法的执行过程中,综合考虑了数据迁移量和负载均衡的问题.在真实的大数据集上的实验表明,提出的检测算法在检测效率方面与已有方法相比有明显的提升.展开更多
Zero-dimensional metal halide perovskites have captured intense research interest owing to their unique optoelectronic properties.Particularly,metal halides with the ns^(2) electronic configuration are of great intere...Zero-dimensional metal halide perovskites have captured intense research interest owing to their unique optoelectronic properties.Particularly,metal halides with the ns^(2) electronic configuration are of great interest owing to the high-temperature sensitivity of their photoluminescence,which could be applied to remote optical thermometry(ROT).Herein,all-inorganic and lead-free halide perovskite Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O single crystals(SCs)were prepared through the hydrothermal method and showed a strong temperature dependence of photoluminescence lifetime.Upon Te^(4+) doping,the nonemissive Cs_(2)InCl_(5)·H_(2)O SC exhibits a bright orange emission at 660 nm with a wide full width at half maximum of 180 nm.The strong phonon-exciton coupling promotes the formation of self-trapped excitons in the soft lattice of the zero-dimensional Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O SC.The Te^(4+) ions with the 5 s^(2) electronic configuration endow the Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O SC with a strong temperaturedependent photoluminescence lifetime.This SC reaches a maximum specific sensitivity of 0.062 K^(-1) at 320 K,thereby showing the potential advantages of indium-based metal halide perovskites in ROT applications.展开更多
文摘在关系数据库中,函数依赖发现是一种十分重要的数据库分析技术,在知识发现、数据库语义分析、数据质量评估以及数据库设计等领域有着广泛的应用.现有的函数依赖发现算法主要针对集中式数据,通常仅适用于数据规模比较小的情况.在大数据背景下,分布式环境函数依赖发现更富有挑战性.提出了一种分布式环境下大数据的函数依赖发现算法,其基本思想是首先在各个节点利用本地数据并行进行函数依赖发现,基于以上发现的结果对函数依赖候选集进行剪枝,然后进一步利用函数依赖的左部(left hand side,LHS)的特征,对函数依赖候选集进行分组,针对每一组候选函数依赖并行执行分布式环境发现算法,最终得到所有函数依赖.对不同分组情况下所能检测的候选函数依赖数量进行了分析,在算法的执行过程中,综合考虑了数据迁移量和负载均衡的问题.在真实的大数据集上的实验表明,提出的检测算法在检测效率方面与已有方法相比有明显的提升.
基金supported by the National Natural Science Foundation of China(U2001214)the Natural Science Foundation of Guangdong Province(2019B1515120050)the Fundamental Research Funds for the Central Universities。
文摘Zero-dimensional metal halide perovskites have captured intense research interest owing to their unique optoelectronic properties.Particularly,metal halides with the ns^(2) electronic configuration are of great interest owing to the high-temperature sensitivity of their photoluminescence,which could be applied to remote optical thermometry(ROT).Herein,all-inorganic and lead-free halide perovskite Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O single crystals(SCs)were prepared through the hydrothermal method and showed a strong temperature dependence of photoluminescence lifetime.Upon Te^(4+) doping,the nonemissive Cs_(2)InCl_(5)·H_(2)O SC exhibits a bright orange emission at 660 nm with a wide full width at half maximum of 180 nm.The strong phonon-exciton coupling promotes the formation of self-trapped excitons in the soft lattice of the zero-dimensional Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O SC.The Te^(4+) ions with the 5 s^(2) electronic configuration endow the Te^(4+)-doped Cs_(2)InCl_(5)·H_(2)O SC with a strong temperaturedependent photoluminescence lifetime.This SC reaches a maximum specific sensitivity of 0.062 K^(-1) at 320 K,thereby showing the potential advantages of indium-based metal halide perovskites in ROT applications.
