模式匹配技术

模式匹配作为模式的基本操作已成为数据集成、数据仓库、电子商务等许多应用领域的基本问题。本文主要介绍关于模式匹配的定义、分类及已实现的几种通用化的模式匹配系统,指出了这些系统的优点及不足,并讨论了该领域未来的发展方向。     

规则引擎在机场资源管理系统中的研究与应用

在机场资源管理系统(ARMS)中,存在大量灵活多变的业务规则,这大大增加了机场业务及资源的管理难度.传统的机场资源管理系统把业务规则和程序代码混杂在一起,使机场资源分配策略和业务规则不能及时改变以适应现实情况.该文引入规则引擎技术的架构和运行机制,提出了将频繁变化的业务规则从系统中分离出来的必要性和可行性,并分析了基于规则引擎的机场资源管理系统的架构、设计方法,将规则独立定义到规则库中,实现了机场业务规则和系统代码的完全分离,加快了系统的开发、升级和维护过程,增强了系统的灵活性和扩展性,使机场业务人员能够根据需求灵活调整业务规则和资源分配方案,最后,总结出现有方案的优点和存在的问题.     

EXPLORATION IN UNKNOWN ENVIRONMENTS BY A MOBILE ROBOT

Navigation of anutonomous mobile robots in known environments has been studied extensively. But the algorithms for controlling progress through unknown environments have not received much study. In this paper, we put forward a new exploration scheme which is based on learning. While travelling, robots use their range/vision sensors to perceive the external world. Newly acquired information about obstacles is added to the system's knowledge base through learning. And the updated knowledge base is used in planning future navigation paths, thus the generated paths will improve gradually.