Asymptotic behaviour of a test statistic for detection of change in mean of vectors

The paper gives an asymptotic distribution of a test statistic for detecting a change in a mean of random vectors with dependent components. The studied test statistic has a form of a maximum of a square Euclidean norms of vectors with components being standardized partial cumulative sums of deviations from means. The limit distribution was obtained using a result of Piterbarg [1994. High deviations for multidimensional stationary Gaussian processes with independent components. In: Zolotarev, V.M. (Ed.), Stability Problems for Stochastic Models, pp. 197–210].     

A single-featured EWMA-X control chart for detecting shifts in process mean and standard deviation

The combined EWMA-X chart is a commonly used tool for monitoring both large and small process shifts. However, this chart requires calculating and monitoring two statistics along with two sets of control limits. Thus, this study develops a single-featured EWMA-X (called SFEWMA-X) control chart which has the ability to simultaneously monitor both large and small process shifts using only one set of statistic and control limits. The proposed SFEWMA-X chart is further extended to monitoring the shifts in process standard deviation. A set of simulated data are used to demonstrate the proposed chart's superior performance in terms of average run length compared with that of the traditional charts. The experimental examples also show that the SFEWMA-X chart is neater and easier to visually interpret than the original EWMA-X chart.     

On Calculations Involving the Maximum Cell Frequency

We describe a method of computing the cumulative distribution function of the maximum and minimum cell frequencies in sampling distributions commonly encountered in the analysis of categorical data.The procedure is efficient for exact or approximate calculation in both homogeneous and non-homogeneous cases, is non-recursive, and does not require Dirichlet integrals.Some related statistical problems are also discussed.     

Evaluation of strategies to mitigate contagion spread using social network characteristics

Computer simulation is an effective tool for assessing mitigation strategies, with recent trends concentrating on agent-based techniques. These methods require high computational efforts in order to simulate enough scenarios for statistical significance. The population individuals and their contacts determined by agent-based simulations form a social network. For some network structures it is possible to gain high accuracy estimates of contagion spread based on the connection structure of the network, an idea that is utilized in this work. A representative social network constructed from the 2006 census of the Greater Toronto Area (Ontario, Canada) of 5 million individuals in 1.8 million households is used to demonstrate the efficacy of our approach. We examine the effects of six mitigation strategies with respect to their ability to contain disease spread as indicated by pre- and post-vaccination reproduction numbers, mean local clustering coefficients and degree distributions. One outcome of the analysis provides evidence supporting the design of mitigation strategies that aim to fragment the population into similarly sized components. While our analysis is framed in the context of pandemic disease spread, the approach is applicable to any contagion such as computer viruses, rumours, social trends, and so on.     

网络信息监控系统设计的研究

根据当前网络信息传播的混乱情况,在某种场合进行网络信息监控很有必要.该文提出了网络信息监控的几种实现方法和标准的信息监控流程,讨论设计网络信息监控系统的系统架构方法以及信息监控中应根据实际采用各种不同的技术组合,以达到全方位对网络信息进行监控.     

多波段光学探测系统的探测概率研究

针对光学联合探测子系统探测概率的不同特点,提出一种新的系统工作模式,使系统的最终探测概率有较大提高。当子系统的探测概率均比较低时,直接对子系统的探测数据进行融合,可以获得较高探测概率;当各子系统探测概率相差较大时,可先对探测数据进行选择,然后再进行数据融合,这样可以在总探测概率减小不大的情况下,使虚警概率明显降低。     

运用核Fisher鉴别分析和MPM分类器的入侵检测

为了提高分类器的正确率和减少训练时间,将特征提取技术与分类算法结合,提出了一种基于核Fisher鉴别分析和最小极大概率机算法的入侵检测算法。利用核Fisher鉴别分析技术提取关键特征,运用最小极大概率机对提取特征后的数据进行分类,采用离线数据集KDDCUP99进行实验。实验结果表明,该算法是可行和有效的,使分类性能和训练时间都得到了提高。     

基于模糊神经网的入侵检测模型研究

对自组织特征映射(SOM)神经网络进行了概括分析,并结合模糊逻辑的思想对SOM网络的学习算法进行了模糊化改进。将模糊SOM技术应用到网络入侵检测中并应用MATLAB进行仿真。试验结果表明基于模糊神经网络的网络入侵检测方法能有效降低误报率。     

现代汉语兼语结构的机器探测

采用统计与规则结合的方法对现代汉语兼语结构的机器探测方法展开研究,提出了用于自动探测兼语的＂兼语候选项特征＂与＂支持度＂的概念,同时设计出了相应的算法,并在此基础上,用Visual C＋＋编译出了相应的＂现代汉语兼语结构机器探测软件＂。通过对200万字的《人民日报》1998年1月语料进行机器探测试验和测试,发现：对于现...     

贿赂犯罪窝串案技术侦查路径的选择

当前,贿赂犯罪在整个职务犯罪案件中的比例逐年上升,尤以窝串案的影响最为恶劣和深远。贿赂犯罪窝串案技术侦查路径的选择具有客观必然性:一方面,贿赂犯罪窝串案自身的特殊性及其发展态势,对当前侦查工作的开展提出了新的挑战;另一方面,随着《刑事诉讼法修正案(草案)》中有关技术侦查条文的增加,职务犯罪技术侦查的法治化趋势得到进一步充分肯定。为了有力打击新形势下的贿赂犯罪窝串案,恪守犯罪惩治与人权保障平衡的主线,又必须通过法律程序来增强技术侦查的可控性,使其得以正当而有效地运用。