pTrace: 一种面向可控云计算的DDoS攻击源控制技术

当前,越来越多的分布式拒绝服务(distributed denial of service, DDoS)攻击的攻击源迁移至云中,给云计算的可控性及整个网络空间的安全带来了严重挑战.然而关于有效控制云中该类攻击源的研究还比较缺乏.为此设计了一种面向可控云计算的DDoS攻击源控制系统pTrace,该系统包括入口流量过滤inFilter和恶意进程溯源mpTrace两部分.其中,inFilter过滤伪造源地址信息的数据包;mpTrace先识别攻击流及其源地址信息,依据源地址信息追溯并管控发送攻击流的恶意进程.在Openstack和Xen环境下实现了pTrace的原型系统,分析及实验表明,inFilter可以有效地防止含有虚假源地址信息的DDoS攻击包流出云外;当攻击流速率约为正常流量的2.5倍时,mpTrace即可正确识别攻击流信息,并可在ms级的时间内正确追溯攻击流量发送进程.该方法有效控制了位于云中的DDoS攻击源,减小了对云内傀儡租户及云外攻击目标的影响.     

基于可编程控制器施密特触发器的设计与分析

数字系统中,常常需要施密特触发器,特别是回差电压很大,并且可以根据需要随意调节的施密特触发器。采用可编程控制器状态转移图和功能指令中的比较指令这一特殊方法设计了此款施密特触发器,通过调整可编程控制器构成的施密特触发器的上限门坎电平和下限门坎电平,巧妙地完成了回差电压很大、回差电压可随意调节这一功能。该设计具有设计简单,完成方便,不需要对电路重新组装的特点。     

WVAELET TRANSFORM IN TANDERN WITH AUTOREGRESSIVE TECHNIQUE FOR MONITORING AND DIAGNOSIS OF MACHINERY①

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提升机故障信号特征提取方法研究

研究小波包分析的频带频率特性,指出存在频带能量泄漏问题;揭示小波包分析频带能量泄漏的基本规律,提出频带能量泄漏的识别方法和信号特征提取方法。该方法可以排除频带能量泄漏影响,减少特征向量个数,降低分析复杂度。该方法已应用于矿井提升机故障诊断。     

Exploring contact lens opportunities for patients above the age of 40 years

PurposeContact lenses offer a good option for patients with presbyopia, especially with improved optical designs available in modern multifocal contact lenses. Due to the ageing population there is good opportunity to increase contact lens penetration by managing these patients better. However, multifocal contact lenses achieve low penetration in the market.MethodsA questionnaire was administered to people aged above 40 years, to investigate their perceptions of contact lenses for presbyopia. Only people, with presbyopia, who were existing contact lens wearers or willing to try contact lenses were included. Participants were recruited from United Kingdom (UK), United States of America (USA), Netherlands, Germany, France, Spain and Italy.ResultsData from 1540 participants above the age of 40 years was collected, 57.9% were females and 42.1% males. Overall, 50.8% of the participants wore contact lenses, but contact lens wear was less common amongst older participants. Some data supported earlier studies, such as 6.1% wore gas permeable lenses. However, only 25% of the contact lens wearers used multifocal contact lenses. The reasons the participants wanted to wear contact lenses were similar to younger patient such as sports or cosmesis reasons. Reasons why participants had dropped out of contact lenses included discomfort and dry eye related issues. Poor visual performance with contact lenses was a reason to dropout of contact lenses for the older participants.ConclusionsThe study highlights some failings by eye care practitioners in the management of patients with presbyopia. It seems that patients of this age group are seeking suggestions and recommendations from their eye care practitioner including upgrading contact lenses and dual wear options. The day-to-day problems encountered by the contact lens wearers in this study seem to be, in the main, things that could be easily tackled by additional counselling and instruction from the eye care practitioners.     

基于网络的控制系统的建模与控制

根据控制在信息网络中作用的特点,首先介绍了基于网络的控制系统的概念,然后从建模和控制两个方面介绍了基于网络的控制系统的研究状况,进一步探讨了基于网络的非线性动态系统建模与控制、系统鲁棒性等有待解决的一些问题,并对此研究作了进一步展望。     

Digital communication signals identification using an efficient recognizer

Automatic recognition of the communication signals plays an important role for various applications. Most of the existing techniques require high levels of signal to noise ratio (SNR). In this paper, we propose a high efficient technique for classification of the digital modulations that requires a low level of SNRs. This technique includes two main modules: feature extraction module and the classifier module. In the feature extraction module we use the auto-regressive modeling together other useful features. These features are a combination set of the entropy and energy of the signal, variance of the coefficients wavelet packet transform, fourth order of moment and zero-crossing rate. In the classifier module we have used the two structures of the neural networks: multi-layer perceptron (MLP) neural network and radial basis neural networks. Simulation results show the proposed technique has very high recognition accuracy for identification of the considered digital modulations even at very low SNRs.     

采用D-S证据推理的电机转子故障诊断

提出了采用D-S(Dempster-Sharer)证据理论对感应电机转子断条故障进行识别的故障诊断方法.基于小波包变换的频率划分特性,对定子三相电流信号进行小波包分解,利用节点系数的均方根值构建电机转子故障的特征矢量(证据体);利用明氏距离测度构造基本可信度分配函数,求取证据体对转子故障所赋予的基本概率分配函数值,然后根据D-S证据融合规则进行融合处理,实现了对电机转子故障的准确识别.试验结果表明,该方法可实现转子断条故障的可靠诊断.     

基于小波包-包络分析的故障特征提取方法

针对齿轮、滚动轴承等的早期损伤类故障，提出将小波包分解作为包络分析的前置处理手段以提取振动信号的故障信息特征。在简述小波包基本原理的基础上．通过仿真信号．对振动信号的具体处理过程进行分析，并对可能遇到的问题．提出处理办法．然后应用于诊断实例。结果表明，该方法能够自由确定振动信号的频带划分并全面获得各频带内隐含的故障特征，且易于实现，有一定的工程应用价值。