Research on data combination for Phased-array Ground Penetrating Radar

0　IntroductionGroundPenetratingRadar (GPR)isanewandefficientex ploringmeanstodetecttheobjectinshallowsubsurface.Comparedwithotherdetectingmethods,GPRhasmanyadvan tages,suchasquickness,highresolution ,convenientoperationetc.SoGPRisappliedtonationaldefenseandnationaleconomy .IndevelopmentofGPRtechnology ,therecomeforthcontinuous waveradar,FMcontinuous waveradar,andshockpulseradar.Amongoftheseradars,shockpulseradarsendsgreatamplitudeimpulsewithperiodinns,receivingequivalentsamplingtoreali…     

多层次关联规则的快速挖掘算法

数据挖掘被认为是解决“数据爆炸”和“数据丰富,信息贫乏”的一种有效方法。关联规则是数据挖掘的重要研究方向。本文提出了多层次关联规则的一种快速挖掘算法,利用抽样从概念层次树的中间开始挖掘,以提高挖掘的速度。     

“溶液表面张力的测定”数据处理方法的改进——γ-c函数关系式的拟合方法

用计算机改进溶液表面张力的测定实验的数据处理方法,直接拟合γ-c函数关系式,不用作图,大大节约了数据处理时间。同时,由于避免了手工作图的误差,从而保证了数据处理结果的准确性。介绍的拟合步骤可适用于一般非线性问题的拟合计算。     

SSH协议分析

探讨了SSH协议体系结构,介绍SSH三个层次：传输层协议、用户认证协议、连接协议和密钥机制．讨论了SSH连接建立过程的各个阶段,为理解和应用SSH提供了理论基础．     

Experimental investigation of parallel optical data storage using pyrrylfulgide photochromic material

The optical storage characteristics of a new kind of organic photochromic material棗pyrrylfulgide were experimentally investigated in the established parallel optical data storage system. Using the pyrrylfulgide/PMMA film as a photon-mode recording medium, micro-images and encoded binary digital data were recorded, readout and erased in this parallel system. The storage density currently reaches 3?107 bit/cm2. The recorded information on the film can be kept for years in darkness at room temperature.     

A CLUSTERING ALGORITHM FOR MIXED NUMERIC AND CATEGORICAL DATA

Most of the earlier work on clustering mainly focused on numeric data whose inherent geometric properties can be exploited to naturally define distance functions between data points. However, data mining applications frequently involve many datasets that also consists of mixed numeric and categorical attributes. In this paper we present a clustering algorithm which is based on the k-means algorithm. The algorithm clusters objects with numeric and categorical attributes in a way similar to k-means. The object similarity measure is derived from both numeric and categorical attributes. When applied to numeric data, the algorithm is identical to the k-means. The main result of this paper is to provide a method to update the “cluster centers“ of clustering objects described by mixed numeric and categorical attributes in the clustering process to minimise the clustering cost function. The clustering performance of the algorithm is demonstrated with the two well known data sets, namely credit approval and abalone databases.     

相关检测算法在全光纤电流互感器数据处理系统中的应用

介绍了当前国内外在进行数据处理时的研究现状和主要问题,详述了相关检测的原理,分析了相关检测算法在全光纤电流互感器数据处理系统中的应用,并画出了具体电路设计框图及其FPGA程序设计的组成框图。     

数据融合技术在公路隧道火灾探测中的应用

在分析公路隧道火灾特点的基础上,依据数据融合的基本原理,充分利用多个传感器资源,把多个传感器在空间和时间上的冗余或互补信息依据某种准则来进行组合,以获得被测对象的一致性解释或描述。提出了一种基于数据融合技术的隧道火灾探测算法,以感烟、感温和感光传感器的模拟量为输入,利用人工神经网络和模糊逻辑技术对多传感器信号进行融合,设计出一种快速、准确和有效的隧道火灾自动探测融合系统,可缩短报警时间,降低误报警率。克服了火灾探测算法单一使用固定阈值的弊端。     

基于DNS通信数据挖掘的Botnet检测方法研究

利用僵尸网络（Botnet）进行的各种恶意活动如DDoS、垃圾邮件、网络钓鱼等成为一个现实且发展迅速的问题.本文提出了一种通过分析DNS通信检测僵尸网络的方法.因为DNS通信中包含的信息有限,通常不易区分一个DNS查询是由正常的还是恶意的活动引起,为此我们使用RIPPER算法对DNS通信数据进行挖掘.系统在真实校园网环境中的测试结果验证了此方法的有效性,给出了使用数据挖掘方法建立快速准确的僵尸网络检测系统的可能.     

钢铁企业合作创新项目选择的模糊聚类分析

在合作创新过程中,针对区间数的评价信息,提出一种基于遗传算法的模糊聚类方法.考虑方案各准则的权重、准则值为区间数,同时要求对聚类中心各准则值有严格序关系.然后结合隶属度变量构建优化模型,利用具有动态惩罚函数的遗传算法求解,计算得到各方案的所属类别.实例证明了该方法的有效性和可靠性.