空间网络数据库中基于M-tree索引的反最近邻查询算法

欧式空间中的反最近邻查询算法不适用于空间网络环境,故采用任意度量空间中的M-tree索引结构,进行空间网络数据库中的反最近邻查询处理。首先通过预计算的方法得到网络距离信息,依据此距离信息,对空间网络对象建立M-tree索引结构。然后,给出并证明了M-tree中间结点修剪定理,提出一种适用于空间网络环境的反最近邻查询算法。最后实验验证了该算法的有效性。     

基于通信信道的数字传感信号正交幅度调制技术仿真研究

介绍了数字传感信号接入通信网时的正交幅度调制、解调和判决原理,在Optisystem7．0环境下设计并对改进的正交幅度调制系统进行了建模与仿真,观察并分析了原始输入信号、调制信号、解调信号,验证了数字传感信号在通信信道中传输的可行性。     

三种WPS对不同区块油水动态界面张力研究

采用全量程界面张力测量仪,研究了3种WPS对胜利油田3个采油区块油水体系的油水动态界面张力,从油水界面张力达到最低值所需的时间、稳定值的大小和时间窗口宽度的几个方面,考察了3种WPS对3个采油区块油水动态界面张力的变化情况,为不同采油区块选用WPS提供了依据.并研究了注入水离子强度与界面张力的关系,通过对注入水离子强度的调整,改善其油水界面张力.     

非线性系统传感器偏差的自适应故障检测与分离方法

针对一类具有模型不确定性且状态部分可测的非线性系统,提出了一种基于鲁棒自适应技术的传感器偏差故障检测与分离方法。所提出的故障检测与分离方法是由一个故障检测估计器和一组故障分离估计器完成的,其中每一个故障分离估计器对应一种类型的传感器偏差故障。对于某一故障分离估计器如果它的的输出估计误差中至少一项的绝对值超过相应的自适应阈值,则这个故障发生的可能性被排除,即可分离故障。在系统存在模型不确定性和状态部分可测的情况下,应用自适应技术来估计未知的传感器偏差故障并分析了故障分离器的稳定性。仿真算例证明了所提出的鲁棒自适应故障检测与分离方法的有效性。     

海刺参组织蛋白酶L基因的克隆、重组表达及活性鉴定

通过RT-PCR和RACE PCR技术,从海刺参(Stichopus japonicus)肠中克隆得到编码组织蛋白酶L(SjCL)基因,其中全长cDNA 1 287 bp,5′非编码区(UTR)202 bp,3′UTR 87 bp,开放阅读框(ORF)999 bp,编码332个氨基酸(aa),包括组织蛋白酶L成熟肽316 aa和信号肽16 aa,分子质量预测为35.3 ku。用SjCL序列与相似物种海胆、海葵等进行对比,可知SjCL具有组织蛋白酶L所特有的氨基酸保守区域ERFNIN和GNFD,以及由Cys 139,His 278和Asn 299残基组成的保守活性位点。将编码SjCL基因克隆进原核表达载体pET32a(+)中,构建重组质粒pET32a(+)-SjCL,转化至大肠杆菌BL21(DE3)pLysS感受态细胞,再进行诱导表达、亲和纯化和透析复性,得到了纯化且具有活性的重组SjCL。酶活力检测结果表明,重组SjCL对组织蛋白酶L特异性底物Z-Phe-Arg-Nmec具有较高活性,而对组织蛋白酶B特异性底物Z-Arg-Arg-Nmec无活性。本实验对SjCL的cDNA序列进行了生物信息学分析并通过基因工程...     

知识型员工工作态度与离职倾向关系的实证研究

采用实证法研究了知识型员工工作态度总体水平及各维度与离职倾向的关系,并建立了关系模型。研究结果表明：工作态度及其维度均与离职倾向显著负相关,且组织承诺对离职倾向的影响大于工作满意度;规范承诺、内在满意度、情感承诺、外在满意度、持续承诺依次成为影响知识型员工离职倾向的主要因素,均负相关。     

从图腾角度看彝族服装图纹的设计

本文主要从图腾的角度介绍了彝族服装的几种主要的图腾纹样,帮助我们从另外一个角度理解了彝族服装的发展历史和生活、着装习惯。对我们理解民族文化和现代服装设计中图纹的运用有一定的启发和帮助作用。     

Prevention of rockburst by guide holes based on numerical simulations

We studied variations in the stress field around guide holes drilled during tunnel excavation to understand the mechanical mechanism by which these holes help prevent rockburst. The study used elasto-plastic analysis of a circular chamber under non-axisymmetrical loads. The results showed that the unloading of in-situ stresses, and the forming of a secondary stress field, leads to a severe change in the stress field around the guide holes. This causes the formation of an X-shaped area of plastic deformation, which prevents the rockburst. Adopting a sub-model finite dement technique, we analyzed the factors that influence the distribution of the plastic area, such as the guide hole distribution and the in-situ stress state. The calculations showed that higher initial stresses result in greater adjustment to the stress field. When the stress concentration is greater the size of the plastic area surrounding the guide hole is larger. A multi-row distribution of the guide holes shaped like a quincunX can increase the interconnectivity of the plastic areas and allow the plastic area to extend from the tunnel wall deep into the surrounding rock. An optimized design was put forward based on the distribution of the plastic area around guide holes and the factors that influence it.     

一种基于P2P分层结构的网格资源发现模型

网格资源发现是网格研究中的重要组成部分,随着P2P网络的兴起,许多新的概念和研究方向为网格研究提供了思路.该文在分析了现有网格资源查找方式不足的基础上,提出了一种基于P2P分层结构的网格资源发现模型.模型针对网格资源的特点引入了本体和语义相关度概念,在此基础上将网格资源进行分层管理,并借鉴了iVCE体系结构,提出了本体共同体的概念从而较好解决了虚拟组织内节点的动态自组织问题,较好实现了网格资源的聚合以及动态增减问题.     

Chaotic characteristics of electromagnetic emission signals during deformation and fracture of coal

Electromagnetic emission (EME) is a kind of physical phenomenon accompanying the process of deformation and frac-ture of loaded coal and rock and it is of importance in quantitatively analyzing its characteristics. This will reveal the process of deformation and fracture of coal and predicting dynamic disasters in coal mines. In this study, the G-P (Grassberger and Procaccia) algorithm, calculation steps of the (if only 1 dimension) correlation dimension of time series and the identification standards of chaotic signals are introduced. Furthermore, the correlation dimensions of EME and the acoustic emission (AE) signals of time series during deformation and fracture of coal bodies are calculated and analyzed. The results show that the time series of pulses number of EME and the time series of AE count rate are chaotic and that the saturation embedding dimensions of a K3 coal sample are, respectively, 5 and 6. The results can be used to provide basic parameters for predicting of EME and AE time series.