用于分布式并行数据库系统的重定向算法

分布式并行数据库系统以高可用性、高效率等特征愈来愈受到人们的关注。针对分布式并行数据库系统的特征,提出了分布式并行重定向算法,实现服务器节点的透明切换。该算法不仅能实现负载均衡以及位置透明性,提高系统效率,而且能保证节点故障时事务不被中断,实现系统的高可用性。     

分布式并行服务器中的高性能通信研究

基于快速以太局网中分布式并行服务器通信特点和对网络协议栈的分析,设计并实现了一种分布式操作系统传输协议。该协议在维持通用编程接口的同时,精简网络协议栈底层的冗余操作,减少操作系统干预和协议自维护开销。在8个节点的服务器系统上的测试结果表明,分布式操作系统传输协议获得比用户数据报协议更小的往返延迟和系统开销,应用环境下有约20%的增益,能有力地支持系统扩展和大并发访问服务。     

区块链背景下智能包装产业新模式

区块链具有数据防篡改、可溯源等特点,智能包装具有数据采集、信息互动等优势,区块链可以为智能包装的进一步发展与应用提供新技术,而智能包装则可以拓宽区块链的应用领域,两者的融合必将引发智能包装产业模式的新一轮变革。在深入解析区块链发展阶段、分类、特点,以及智能包装功能、作用、发展现状与问题之基础上,努力探索两者融合发展的融合点、融合路线以及融合模式,能够为智能包装产业发展提供切实的理论指导。     

分布式认知视角下远程教育网络平台探析

分布式认知理论为人机交互和知识共享提供了理论基础。在分析现有远程教育网络平台的基础上,运用分布式认知理论探讨了其视角下远程教育网络平台的构建,以帮助人们实现人与计算机更加和谐的交互,提高网络学习效率。、     

Change-Point Tests for the Error Distribution in Non-parametric Regression

Abstract.  Several testing procedures are proposed that can detect change-points in the error distribution of non-parametric regression models. Different settings are considered where the change-point either occurs at some time point or at some value of the covariate. Fixed as well as random covariates are considered. Weak convergence of the suggested difference of sequential empirical processes based on non-parametrically estimated residuals to a Gaussian process is proved under the null hypothesis of no change-point. In the case of testing for a change in the error distribution that occurs with increasing time in a model with random covariates the test statistic is asymptotically distribution free and the asymptotic quantiles can be used for the test. This special test statistic can also detect a change in the regression function. In all other cases the asymptotic distribution depends on unknown features of the data-generating process and a bootstrap procedure is proposed in these cases. The small sample performances of the proposed tests are investigated by means of a simulation study and the tests are applied to a data example.     

一类弹性系统的内部精确能控性

该文考虑的是具有分布控制的Timoshenko梁系统的精确能控性.用谱分解方法建立了保守系统的正反向能量不等式,证明了在通常的能量空间中该系统是精确能控的.     

当代青年择偶的收入观——郎才女貌悖论

采用2002年中国住户调查数据,本文对当前我国婚姻市场的择偶标准进行了实证研究。在传统社会,高收入的男性和专职于家庭事务的女性被认为是完美的结婚组合(郎才女貌),因此当时的择偶标准体现为收入上的异质性。而本文通过实证研究发现,当前收入水平相当的男女更可能结为夫妻。现在与过去择偶标准的不同导致了郎才女貌悖论的出现。最后,本文阐述了婚介机构的重要性。     

Deletion residuals in the detection of heterogeneity of variances in linear regression

The heterogeneity of error variance often causes a huge interpretive problem in linear regression analysis. Before taking any remedial measures we first need to detect this problem. A large number of diagnostic plots are now available in the literature for detecting heteroscedasticity of error variances. Among them the ‘residuals’ and ‘fits’ (R–F) plot is very popular and commonly used. In the R–F plot residuals are plotted against the fitted responses, where both these components are obtained using the ordinary least squares (OLS) method. It is now evident that the OLS fits and residuals suffer a huge setback in the presence of unusual observations and hence the R–F plot may not exhibit the real scenario. The deletion residuals based on a data set free from all unusual cases should estimate the true errors in a better way than the OLS residuals. In this paper we propose ‘deletion residuals’ and the ‘deletion fits’ (DR–DF) plot for the detection of the heterogeneity of error variances in a linear regression model to get a more convincing and reliable graphical display. Examples show that this plot locates unusual observations more clearly than the R–F plot. The advantage of using deletion residuals in the detection of heteroscedasticity of error variance is investigated through Monte Carlo simulations under a variety of situations.     

Design and implementation methodology based on Petri net formalism of flexible manufacturing systems control

This paper presents an aided design methodology of flexible manufacturing system control with a view to industrial implementation. The approach considered through a modelling phase, the a validation phase by simulation and finally a distributed implementation phase. In the modelling phase, based on the Petri net formalism, we demonstrate the hierarchical aspect which separates the part flow control and the product resource control. In addition, we emphasize generic aspects which allow us to use an object-oriented approach. These aspects and the set of modelled objects are directly used in the simulation and production phases after an automatic translation in an implementation language (ADA in our case). In consequence, the distributed location for those two phases is well facilitated from the viewpoint of the approach used.     

Semiparametric Inference Methods for General Time Scale Models

In this paper we consider semiparametric inference methods for the time scale parameters in general time scale models (Oakes, 1995, Duchesne and Lawless, 2000). We use the results of Robins and Tsiatis (1992) and Lin and Ying (1995) to derive a rank-based estimator that is more efficient and robust than the traditional minimum coefficient of variation (min CV) estimator of Kordonsky and Gerstbakh (1993) for many underlying models. Moreover, our estimator can readily handle censored samples, which is not the case with the min CV method.