一类二阶时变非线性系统的混合自适应重复学习控制

针对含有时变和时不变未知参数的二阶非线性系统，结合Backstepping方法．提出了一种新的自适应重复学习控制方法，可处理参数在一个未知紧集内周期性快时变的非线性系统．通过引入参数周期自适应律．设计出的自适应控制策略．使跟踪误差平方在一个周期上的积分范敷渐近收敛于零．通过构造Lyapunov函数．给出了闭环系统收敛的一个充分条件．     

电大尺寸导体附近线天线的辐射方向图研究

采用一致性几何绕射理论分析了电大尺寸导体对其附近的对称振子天线辐射方向图的影响,计算了在三种不同环境下的天线方向图,结果与软件(FEKO)仿真结果吻合良好.为分析工程中复杂的电大尺寸目标,提供了重要的参考依据.     

物流信息系统中设计模式的应用

随着信息系统的不断发展,客户对软件系统提出了更高的要求。由于软件开发固有的复杂性、软件实现的不易复制性,软件的生产过程面临许多问题。设计模式提供了对问题簇的设计精良的解决方案。文中通过在物流信息系统中引入设计模式,具体分析了三种代表性的设计模式在物流信息系统中的应用,证明了模式设计的引入有助于提高软件的可复用性、可维护性以及稳定性和安全性。     

论科学技术研究效益的三大变化规律

提出了科学技术研究效益的三大变化规律:从投入成本与产出成果数的关系看,它与研究项目的深度与复杂程度成反比,与所处年代无直接关系;从投入成本与产出的经济社会效益看,科研项目投入大,收益大,投入与获益之比是稳定的,不随规模的变化而变化;从高效益领域来看,从以纵向深入发展为主转向以横向关系的新发现为主,从以科学为主转向以技术为主,从以小规模为佳转向以大小规模结合为佳.并进行了相应的量化研究.     

Predicting change for individual psychotherapy clients on the basis of their nearest neighbors.

This study extended client-focused research by using the nearest neighbor (NN) approach, a client-specific sampling and prediction strategy derived from research on alpine avalanches. Psychotherapy clients (N = 203) seen in routine practice settings in the United Kingdom completed a battery of intake measures and then completed symptom intensity ratings before each session. Forecasts of each client's rate of change and session-by-session variability were computed on the basis of that client's NNs (n = 10-50 in different comparisons). Alternative forecasts used linear or log-linear slopes and were compared with an alternative prediction strategy. Results showed that the NN approach was superior to the alternative model in predicting rate of change, though the advantage was less clear for predicting variability. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于GRASP的预研项目审批系统的分析与设计

预研项目审批管理系统是一个结合C/S模式和B／S模式的文档管理系统。该文以GRASP模式为基本原则，对系统的体系结构、概念模型、对象职责分配和对象的持久化存储进行了分析设计，并讨论了两个关键技术问题及其解决办法：定位Word中的字段信息，扩展系统对投票进行约束使审批更公平。     

软件体系结构的数学论域

把两个数学集合ISAC和IP定义为软件体系结构SAC的形式逻辑系统的数学论域,并在其上建立了一系列形式逻辑谓词公式,成功地描述了在该论域中对象(算子)的分布特征和SAC的若干有趣的性质和结论,为SAC的结构分析和评估提供了观点、方法和工具.     

Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification

This paper presents a model-based electromagnetic feature extraction technique that makes use of time-frequency analysis to extract natural resonance-related target features from scattered signals. In this technique, the discrete auto-Wigner distribution of a given signal is processed to obtain a partitioned energy density vector with a significantly reduced sensitivity to aspect angle. Each partition of this vector contains, in the approximate sense, spectral distribution of the signal energy confined to a particular subinterval of time. Selection of sufficiently late-time partitions provides target features with a markedly increased target discrimination capacity. The potential of the suggested technique and the practical issues in its implementation are demonstrated by applying it to realistic target classification problems with very encouraging results.     

The constituents of business interaction––generic layered patterns

In order to perform business modelling as apart of information systems development, there is a need for frameworks and methods. The paper proposes a framework for business interaction based on a language/action perspective. The framework is an architecture of five generic layers. The first layer concept is ‘business act’, which functions as the basic unit of analysis. The following four layer concepts are ‘action pair’, ‘exchange’, ‘business transaction’, and ‘transaction group’. The framework is inspired by a similar framework constructed by Weigand et al. The paper makes a critical examination of this framework as a basis for the proposed framework.