介质访问控制层拒绝服务攻击的入侵检测系统

针对无线局域网安全防护手段的不足,结合无线局域网介质访问控制层拒绝服务攻击的特点,设计了基于支持向量机算法的入侵检测系统。该系统利用支持向量机分类准确性高的特点,构建支持向量机最优分类超平面和分类判决函数,对网络流量进行分类识别,完成对异常流量的检测。在OPNET平台下进行无线局域网环境入侵检测仿真,仿真结果表明,该系统能有效地检测出针对无线局域网介质访问控制层的拒绝服务攻击。     

一种改进的异步电动机直接转矩控制方法

针对传统异步电动机直接转矩控制方法转矩及磁链脉动大、开关频率不固定的缺点,提出了一种改进的异步电动机空间矢量调制直接转矩控制方法。该方法通过转矩角闭环控制实现定子磁链幅值和相角的解耦,从而获得参考电压空间矢量,实现对磁链误差和转矩误差的控制。仿真结果表明,该方法有效地克服了传统直接转矩控制方法的缺陷,获得了良好的动态响应性能。     

优化SVR的加权马尔可夫链用电量预测

研究电力系统中用电量的准确预测问题.由于影响用电量的因素众多,并且用电量数据与相关因素之间呈现高度的非线性关系,传统的预测方法很难捕捉用电量的变化趋势,预测精度较低.为了提高预测的精度,提出了一种马尔可夫链优化的SVR模型.上述模型根据支持向量回归机原理,以网络搜索交叉验证的思想优化模型参数,通过加权马尔可夫链原理优化预测结果,将原来的数值预测转化为概率区间上的预测.同时,在利用加权马尔可夫链的预测信息之后,也提高了预测的精度.最后,将改进模型应用于江苏省全社会用电量的预测分析,实验结果表明优化的支持向量模型优于其它对比模型,有较高的泛化能力和预测精度.     

基于代价敏感支持向量机的推荐系统托攻击检测方法

基于标准支持向量机的托攻击检测方法不能体现由于用户误分代价不同对分类效果带来的影响,提出了一种基于代价敏感支持向量机的托攻击检测新方法,该方法在代价敏感性学习机制下引入支持向量机作为分类工具,对支持向量机输出进行后验概率建模,建立了基于类别隶属度的动态代价函数,更准确地反映不同样本的分类代价,在此基础上设计了代价敏感支持向量机分类器。将该分类器应用在推荐系统托攻击检测中,并与标准的支持向量机方法、代价敏感支持向量机方法进行比较,实验结果表明,本方法可以更精确地控制代价敏感性,进一步提高对攻击用户的检测精度,降低总体的误分类代价。     

应用于临床生存时间预测的二次学习算法研究

生存时间预测在医学、经济和工程等领域有着广泛的应用。随着机器学习技术和数据挖掘技术的发展和广泛应用,研究人员提出了很多基于机器学习技术的生存时间预测算法。这些算法虽然都取得了良好的效果,但预测精度均有提升的空间。因此,提出了一种基于二次学习风范的生存时间预测算法,并结合最近邻算法在截尾样本估计上的应用以及支持向量机在泛化性能上的优势,实现了对临床生存时间的建模。实验结果表明,该算法能够获取精确的生存时间,且具有预测精度上的性能优势。     

An algorithm and observability research of autonomous navigation and joint attitude determination in asteroid exploration descent stage

In this paper, an autonomous relative navigation and joint attitude determination algorithm in asteroid exploration descent stage is researched based on feature point information of perpendicular asteroid surface image observed by optical navigation camera, distance vectors from spacecraft to asteroid measured by three angled installed lidars and relative velocity increment measured by accelerometer when the relative distance vector to the centroid of asteroid can not be obtained. The inertial attitude of spacecraft is determined by sun vector, star vectors and inertial angular velocity respectively measured by sun sensor, star trackers and inertial reference unit. Also, in order to obtain measurement error model transferred from sensor noise, a covariance matrix solver considering error correlation is presented via the error model of normalized vector to first order. Numerical simulation and improved observability evaluation of filtering are undertaken to discuss the results of complete sensor observation and weak observation of lidars, and verify the effectiveness of the presented relative navigation and attitude determination algorithm.     

基于PLC的港口集装箱码头装卸模型下位机控制系统设计

根据港口集装箱码头装卸作业的实际情况,基于PLC,设计装卸模型所对应的下位机控制系统,并介绍设计过程中的技术要点、注意事项.     

VMware服务器虚拟架构解决数据安全问题

中心机房的传统架构模式已不满足现代计算机的应用和需求,且数据安全得不到保证,数据恢复代价高、恢复困难。本文提出了用VMware虚拟架构解决网络机房的数据安全问题,简化服务器的部署、管理和维护工作,提高了数据中心的安全性和容错能力。     

Experimental study on temperature stress calculation and temperature control optimization of concrete based on early age parameters

Temperature control curve is the key to achieving temperature control and crack prevention of high concrete dam during construction,and its rationality depends on the accurate measurement of temperature stress.With the simulation testing machine for the temperature stress,in the present study,we carried out the deformation process tests of concrete under three temperature curves：convex,straight and concave.Besides,we not only measured the early-age elastic modulus,creep parameters and stress process,but also proposed the preferred type.The results show that at early age,higher temperature always leads to greater elastic modulus and smaller creep.However,the traditional indoor experiments have underestimated the elastic modulus and creep development at early age,which makes the calculated value of temperature stress too small,thus increasing the cracking risk.In this study,the stress values of the three curves calculated based on the strain and early-age parameters are in good agreement with the temperature stress measured by the temperature stress testing machine,which verifies the method accuracy.When the temperature changes along the concave curve,the law of stress development is in consistent with that of strength.Under this condition,the stress fluctuation is small and the crack prevention safety of the concave type is higher,so the concave type is better.The test results provide a reliable basis and support for temperature control curve design and optimization of concrete dams.     

基于图嵌入与拓扑结构信息的蛋白质复合物识别算法

蛋白质复合物是细胞结构和生化机制的研究基础,如何准确识别蛋白质复合物成为近年来的研究热点。针对传统算法根据结构信息对蛋白质复合物进行搜索存在敏感度和F-measure低的问题,以及现有监督学习算法根据人为构造特征进行蛋白质复合物识别存在特征构造不能较好地反映图的真实信息等不足,提出了graph2vec-SVM识别算法。将蛋白质复合物看作稠密子图并考虑子图模块度大小,利用graph2vec将图信息转换为向量,并进一步采用SVM分类器对蛋白质复合物进行识别,提高了蛋白质复合物识别的敏感度和F-measure。该算法分别与目前流行的4种非监督学习算法(ClusterOne、CMC、HC-PIN和COACH)和3种监督学习算法(SCI-BN、SCI-SVM和RM)进行比较,在精准度、敏感度和F-measure 3项指标上都显示出了良好的性能。