基于数据挖掘的自适应网络入侵检测系统研究

文章提出采用数据挖掘技术,将误用检测和异常检测相结合,构建一个自适应网络入侵检测系统。通过对其关键技术进行研究,阐述实验设计思想。实验证明,该系统能及时更新规则,提高各种入侵检测率,具有一定的自适应能力。     

Stabilization for nonlinear systems via a limited capacity communication channel with data packet dropout

This paper addresses the stabilization problem for a class of nonlinear systems. It is assumed that the controller can only receive the transmitted sequence of finite coded signals via a limited digital communication channel. Both state and output feedback coder-decoder-controller procedures are proposed. Stabilization conditions involving the size of coding alphabet, the sampling period, system state growth rate and data packet dropout rate are obtained. Finally, an example is given to illustrate the design procedures and effectiveness of the proposed results.     

也谈“数据结构”课程教学的几个问题

本文针对困扰"数据结构"课程教与学的几个问题,作者根据自己的认识和多年的实际教学经验,进行深入浅出的分析和论述,以其对提高课程的认识和兴趣、牢固掌握课程知识及其灵活运用、提高利用计算机解决问题的能力具有很好的指导作用。     

基于词性的文本挖掘算法在IDS日志中的应用

提出一种以词性为参考值的文本挖掘算法,能有效挖掘与种子词有关的关联规则。基于Bootstrapping算法思想,既减少了预处理阶段对于词根还原的依赖,能处理日志中出现的中文词汇。增加了对于日志文本上下的理解,提高了关联规则的有效性,并应用与IDS日志挖掘之中,有效改善挖掘效率,为规则库提供关联规则。     

舰艇装备维修信息数据仓库的建立与数据挖掘

在舰船装备维修过程中积累了大量的以各种形式存放的维修信息,利用数据仓库技术和数据挖掘技术,完成了对这些维修信息的综合利用,对各维修保障部门在维修计划制定、器材采购、视情维修等方面具有重要指导意义。     

贝叶斯网络分类模型研究及其在信用评估中的应用

基于概率估计的贝叶斯及贝叶斯网络分类模型,拥有其它数据挖掘工具所不具备的优势。在分析贝叶斯及贝叶斯网络分类模型基础上,结合最小风险决策准则,提出了一种新的信用评估模型。在实际数据集上采用交叉验证方式进行了测试。实验结果表明基于最小风险决策准则的贝叶斯及贝叶斯网络分类模型可以有效地减少信用评估风险。     

A hybrid data-fusion system using modal data and probabilistic neural network for damage detection

This paper addresses a novel hybrid data-fusion system for damage detection by integrating the data fusion technique, probabilistic neural network (PNN) models and measured modal data. The hybrid system proposed consists of three models, i.e. a feature-level fusion model, a decision-level fusion model and a single PNN classifier model without data fusion. Underlying this system is the idea that we can choose any of these models for damage detection under different circumstances, i.e. the feature-level model is preferable to other models when enormous data are made available through multi-sensors, whereas the confidence level for each of multi-sensors must be determined (as a prerequisite) before the adoption of the decision-level model, and lastly, the single model is applicable only when data collected is somehow limited as in the cases when few sensors have been installed or are known to be functioning properly. The hybrid system is suitable for damage detection and identification of a complex structure, especially when a huge volume of measured data, often with uncertainties, are involved, such as the data available from a large-scale structural health monitoring system. The numerical simulations conducted by applying the proposed system to detect both single- and multi-damage patterns of a 7-storey steel frame show that the hybrid data-fusion system cannot only reliably identify damage with different noise levels, but also have excellent anti-noise capability and robustness.     

基于LabWindows/CVI的电能质量分析仪

针对传统电能质量分析系统存在存储容量小、显示功能单调等缺点,设计了以高性能数据采集卡PCL-818H与工业控制计算机为核心的硬件系统。该系统对实时信号进行采集与分析,并利用虚拟仪器LabW indows/CVI的强大测试分析功能,完成了基波和谐波的幅值与相位、电压偏差、有功和无功畸变率等参数计算,且具有数据存盘的软件功能。通过反复验证,该分析仪具有精度较高、直观易读、工作可靠和性价比高等特点。     

面向分布式网络的信息按需分层分发系统框架

由OMG组织提出的数据分发服务(DDS)采用发布/订购工作机制,它为分布式应用系统提供了实时、高效的按需数据分发模型.首先分析了以数据为中心的按需分发工作机制,结合分布式网络环境的特点,构建了信息按需分层分发系统框架;然后具体给出了框架的组成要素及其功能,并设计了各成员之间按需分发的行为方式以及两层信息分发的交互策略;最后阐述了发布/订购的数据模型及信息过滤方案.该框架为分布式网络构建按需分发系统提供了参考模型,同时也为系统的进一步研究和应用奠定了基础.     

高速脉冲信号源的设计与实现

高速脉冲信号源是数据采集系统的重要组成部分,常用于系统的自检与测试中.根据实际要求,提出了高速运放调理和高速电子开关两种方案.分别对高速运放、信号幅值调理、驱动电路和高速电子开关的选择进行了研究,给出了具体的硬件电路设计.并结合相关理论,分析了信号在传输过程中出现的反射现象,提出了符合要求的解决方案.此高速脉冲信号源已成功应用于某采集设备的自检和测试中,效果良好.