讨论并比较了Internet数据库访问的两层和三层两种模式，描述了实现Internet数据库的CGI，API，JDBC三种方式。通过理论分析和数据测试，说明了在对Internet数据库访问性能上，JDBC方式优于CGI方式，API方式优于JDBC方式。

The existence, uniqueness, globally exponential stability and speed of exponential con-vergence for a class of cellular neural networks are investigated. The existence of a unique equilibrium is proved under very concise conditions, and theorems for estimating the global convergence speed approaching the equilibrium and criteria for its globally exponential stability are derived, Considering synapse time delay, by constructing appropriate Lyapunov functional, the existence of a unique equilib-rium and its global stability for the delayed network are also proved. The results, which do not require the cloning template to be symmetric, are easy to use in network design.

在总结传统软件开发方法经验的基础上，严格遵守软件开发方法原则，从UML建模思想出发，对传统UML三层抽象建模结构进行了分析，并引入“抽象”和“分解”作为UML建模的核心思想；提出了UML分层抽象建模机制的构想，将计算机系统开发过程概括为对功能信元、结构信元、关联信元、实现信元和集成信元的提取过程，并以此作为UML建模的指导，有效了利用UML完整语义定义，克服了传统面向对象开发方法的缺陷，实现了建模过程从需求到分析的过渡以及功能和实现事实上的分离。

In this paper, a system architecture of data mining in network based on the technology of Mobile Agent and RDF is presented. This system architecture provides a standard and uniform structured data-platform for the con-crete data-mining application. Mobile Agent implements the concrete data mining application. The relative technolo-gies of this system architecture are introduced first, then two species of logic architecture of the network based appli-cation system are explained. And an accomplished prototyping of network-based data mining system architecture is proposed. The combination of the up-to-date XML/RDF and Mobile Agent technologies provides a new method for data mining in network.

In the Mobile Decision Support System(MDSS), the key problems of the decision-making technology based on multiple analytical sources are how to articulateand represent the user's global decision-making requests, and then decompose and map them to local analyzing requests on each DSS analytical source, as well as how to integrate the heterogeneous analyzing results. This article develops an object-subject model (OSM) which is based on decision-making subjects. By means of subjects and their operations, the OSM model unifies the decision-making capabilities supplied by varied DSS analytical sources so as to facilitate the formulation of the user's global requests and the inte-gration of heterogeneous analyzing results. Then the article describes the OSM-based algorithms of the formulation and decomposition of the user's global decision-making requests, the dispatching of analysis agents and the integration of the analyzing results.