setting density meaning in Chinese
植针密度
Examples
- The related coefficient between pollen , seed setting density and 1000 - seed weight is 0 . 1242 , - 0 . 0686 and - 0 . 1293 , respectively , but it is not significant
花粉粒大小、结实密度和千粒重之间的相关系数分别为0 . 1242 、 - 0 . 0686和0 . 1293 ，说明它们之间有一定的相关性，但相关不显著。 - The variance of seed setting density and 1000 - seed weight of the different diploid seed plants is highly significant , but it is not significant in the different source of the same line
不同品系的二倍体种株材料在结实密度和千粒重之间的差异性也分别达到0 . 01的极显著水平，但同一材料的不同母根之间差异性是不显著的。 - Firstly , in this paper , we review the histories of xml and xml database , and all kinds of data models used widely now . then we review traditional access control policies and policies specially used on xml , and present a new expression method of access set on xml based on child tree of w3c data model . and we bring rbac model into xml database and present a new xml access model x - rbac . because the usage of data in databases has high frequency , we present an ids model based on access set density to logging the potential security threats . and then we introduce the design and implementation of a prototype of our native xml database nhx and its access control system . finally , we draw a conclusion for this paper and the future work
本文首先回顾了xml及xml数据库的历史,并总结了目前广泛使用的xml数据模型,在分析了各种传统数据库访问控制策略,以及xml的专有访问控制策略的优缺点后,基于w3c的xml数据模型,提出了一种基于子树的具有高弹性的便于实现的的访问区域表示法,并将rbac模型引入进来,提出了一种适用于xml数据库的访问控制模型x - rbac ,同时为了区分xml数据库访问中的合法访问和合理访问,我们根据数据库访问具有频繁性这一特征,提出了一种基于区域访问密度的入侵检测模型( ids ) ,以对隐藏在正常访问中的潜在安全威胁进行报警和日志。