一种可生存性的通用突变算法模式及其模拟框架

可生存性是近年来网络安全领域的研究热点。提出将可生存性的目标系统分为有界系统和无界系统,并给出用于实现无界系统的可生存性突变算法的通用模式,其使用多代理系统和协议进行系统建模,部署可生存性控制代理,设计代理间的互操作协议,以此提高系统的可生存性。最后还设计了用于验证和评估突变算法的模拟框架。     

一种混合文本分类方法研究

文本自动分类是信息检索领域的一个重要研究方向。一些标准的机器学习算法像支持向量机已经成功地运用到了这一领域。不幸的是高维的输入向量严重的影响了分类速度,而支持向量机核函数参数的确定影响到分类的精度。为了提高分类精度和分类速度,本文提出了一种混合分类算法,首先用粗糙集理论对向量进行约简,然后采用基因算法对支持向量机的核函数参数进行优化。实验证明我们提出的算法是有效的。     

Real-time big data processing for anomaly detection: A Survey

The advent of connected devices and omnipresence of Internet have paved way for intruders to attack networks, which leads to cyber-attack, financial loss, information theft in healthcare, and cyber war. Hence, network security analytics has become an important area of concern and has gained intensive attention among researchers, off late, specifically in the domain of anomaly detection in network, which is considered crucial for network security. However, preliminary investigations have revealed that the existing approaches to detect anomalies in network are not effective enough, particularly to detect them in real time. The reason for the inefficacy of current approaches is mainly due the amassment of massive volumes of data though the connected devices. Therefore, it is crucial to propose a framework that effectively handles real time big data processing and detect anomalies in networks. In this regard, this paper attempts to address the issue of detecting anomalies in real time. Respectively, this paper has surveyed the state-of-the-art real-time big data processing technologies related to anomaly detection and the vital characteristics of associated machine learning algorithms. This paper begins with the explanation of essential contexts and taxonomy of real-time big data processing, anomalous detection, and machine learning algorithms, followed by the review of big data processing technologies. Finally, the identified research challenges of real-time big data processing in anomaly detection are discussed.     

面向MPEG-4流的交换机调度算法

为解决MPEG-4流传输过程中传统的交换机调度算法导致的普通数据队列包丢失及增强层有较大的延时和延时抖动问题,采用了改进算法,首先,将到达每个输出端口的数据按照优先级分成3组;其次,根据每组的特性采用动态优先级算法实现,设计了一个动态的线性优先级计算函数,该函数的输入参数是每个队列的优先级和在每一队列中的待发送的数据包数,传输的优先级随之动态改变.实验证明,提出的算法能够保证MPEG-4基本层的传输,根据网络带宽状况允许更多的MPEG4增强子层通过,比传统的交换机调度算法提高了MPEG-4流传输的服务质量,更好地支持了流传输.     

基于遗传算法的排课编码设计

采用遗传算法的基本理论,研究如何利用遗传算法解决高校排课中的教室冲突、时间冲突、教师冲突和课表优化等问题,根据人们的期望值设定遗传算法染色体的优先级。     

Graph representation of n-dimensional space

This paper investigates how graph representation can be created for the mesh which is a discrete approximation of n-dimensional continuous space. The paper discusses the relationship between mesh dimensionality and the type and quantity of edges connecting each vertex with its neighbors. Basing on the analysis, a simple algorithm is also proposed to create such graph representation. The purpose of the graph is to search optimal paths and trajectories in the represented space.     

构造最短路径树的动态算法综述

对于以链路状态（Link state）为路由协议的大规模网络来说,根据网络流量和拓扑结构的变化来快速调整自身路由表的信息,是非常关键的问题.网络中链路状态发生变化有四种情况：链路费用的增加,链路费用的减少,节点失效,新节点的加入.回顾了以往所提出的具有关键意义的动态算法,分析了它们的创新点;其次,指出了相关文献中提出的应对网络拓扑变化的处理算法的不足之处,并提出了综合处理各种情况的思路.     

应用“dmey”小波变换及遗传算法对重叠光谱分离研究

小波变换可以去除噪声信号,遗传算法具有全局搜索能力,可以任意逼近分析信号。本文将小波变换和遗传算法相结合来处理分析化学中的重叠信号,通过对模拟信号和实验信号的处理,结果显示小波变换和遗传算法能将重叠信号去噪、分离,可用于多组分样品信号重叠的分离研究。     

一种GA-BP算法的研究及性能分析

遗传算法具有搜索全局最优解的能力,并且有很强的鲁棒性,而BP算法具有很好的泛化能力和非线性映射能力,基于两种算法的特点,设计了一种GA-BP算法,该算法将遗传算法应用到神经网络中权值和阈值的优化中,将最优解的分布范围缩小,然后通过BP算法进行再次优化和精确求解,以防止神经网络陷入局部极小点,从而达到加速收敛、减少训练次数的目的;并且通过对比实验给出该算法的可行性和有效性分析,进一步验证了该算法在收敛速度和误差精度上的优越性。     

The effect of coaching intervention on elite fast bowling technique over a two year period

Fast bowling in cricket is an activity that is well recognised as having high injury prevalence and there has been debate regarding the most effective fast bowling technique. The aim of this study was to determine whether two-year coaching interventions conducted in a group of elite young fast bowlers resulted in fast bowling technique alteration. Selected kinematics of the bowling action of 14 elite young fast bowlers were measured using an 18 camera Vicon Motion Analysis system before and after two-year coaching interventions that addressed specific elements of fast bowling technique. Mann-Whitney tests were used to determine whether any changes in kinematic variables occurred pre- and post-intervention between those who had the coaching interventions and those who didn't. The coaching interventions, when applied, resulted in a more side-on shoulder alignment at back foot contact (BFC) (p = 0.002) and decreased shoulder counter-rotation (p = 0.001) however, there was no difference in the degree of change in back and front knee flexion angles or lower trunk side-flexion. This study has clearly shown that specific aspects of fast bowling technique are changeable over a two-year period in elite level fast bowlers and this may be attributed to coaching intervention.