校园网网络事件源定位技术研究

为了解决在校园网内部分网络安全事件和故障事件中只能确认攻击和事故的发生,而无法确定攻击和事故的源头这一问题.文章提出一种三步骤的校园网内网网络事件源定位模型.该模型将神经网络和证据理论相结合应用于攻击源定位.提高了校园网内网攻击定位的效率和准确性.     

推理之力，叩开真相之门－－侦探罪案游戏巡礼

不少喜欢读推理小说的玩家都知道,侦探是一个满富挑战性的职业,他们接受雇佣者金钱及其他财物,为雇主进行隐蔽地调查及拍照取证等服务。过去欧美的侦探不仅受雇于私人,而且还会帮助警方调查、提供证据并协助破案。19世纪末英国侦探小说家柯南道尔笔下才华横溢的鬼才侦探夏洛克·福尔摩斯已经成为世界级名侦探的代言词。     

基于人工神经网络的智能设计系统研究与实现

针对轴对称的拉深零件的设计,引入了特征编码文件概念,将零件特征以特征编码的形式表示出来。为了实现过程状态模型的智能输出,运用人工神经网络实现自动推理的功能;通过智能推理系统,除去了经验化设计中的不断摸索和改进,将零件的特征造型输入之后,系统能够自动确定零件的工艺流程,进而实现自动化生产。系统能够帮助开发和设计人员迅速的产生设计实例,使开发人员能够更专注于产品的创新活动,对于提高企业的产品设计和研发能力有着重要的实际意义。     

基于本体的业务流程知识库的研究与设计

为解决业务流程管理在跨组织应用中面临的知识概念、术语不一致等问题,研究了构建旅游领域业务流程本体知识库的方法.在知识库中对可变业务流程的各个基本元素进行本体描述,实现旅游领域业务流程术语的规范化,设计本体约束规则并给出知识库中业务流程信息管理、分析的方法.实例结果表明,知识库的设计实现了业务流程术语的规范化及对流程知识的方便管理.     

数独基于规则的逐步枚举算法设计

给出了数独(Sudoku)的6条性质,并在此基础上提出了6条推理规则,然后结合空格填写的一个一组,两个一组及更多个一组的枚举算法,在枚举中进行推理.使推理和枚举结合起来,对有唯一解的数独问题,其求解速度比回溯法快得多,同时也能完成许多数独软件无法进行推理计算的数独难题.用两个数独难题进行验证,表明该方法十分有效.     

复杂系统的图模型多智能体协同故障诊断

为解决复杂、不确定系统的故障诊断实时推理问题,提出了基于图模型-多连片贝叶斯网络架构下多智能体协同推理的故障诊断方法。该方法将一个复杂贝叶斯网分割成若干有重叠的贝叶斯子网,使监控网络的单个智能体被抽象为一个拥有局部知识的贝叶斯网,利用成熟的贝叶斯网推理算法可完成智能体的自主推理。随后,通过重叠的子网接口进行多智能体间消息的传播,实现了多智能体协同故障诊断推理。实验结果表明了基于图模型多智能体的协同故障诊断方法的正确性和有效性。     

Designing genetic regulatory networks using fuzzy Petri nets approach

In this paper, we have successfully presented a fuzzy Petri net (FPN) model to design the genetic regulatory network. Based on the FPN model, an efficient algorithm is proposed to automatically reason about imprecise and fuzzy information. By using the reasoning algorithm for the FPN, we present an alternative approach that is more promising than the fuzzy logic. The proposed FPN approach offers more flexible reasoning capability because it is able to obtain results with fuzzy intervals rather than point values. In this paper, a novel model with a new concept of hidden fuzzy transition (HFT) to design the genetic regulatory network is developed. We have built the FPN model and classified the input data in terms of time point and obtained the output data, so the system can be viewed as the two-input and one output system. This method eliminates possible false predictions from the classical fuzzy model thereby allowing a wider search space for inferring regulatory relationship. The experimental results show the proposed approach is feasible and acceptable to design the genetic regulatory network and investigate the dynamical behaviors of gene network.     

Extended object model for product configuration design

This paper presents an extended object model for case-based reasoning (CBR) in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.     

多Agent谈判中议题相关性及权重度量研究

已有的多议题谈判研究局限于议题相互独立、议题权重固定等前提假设。针对该问题,提出一种议题分组算法。采用移动平均法和事例推理法使用户能更灵活地设定权重,根据单个议题权重初值的确定函数以及议题组的权重求解规则,给出分组变化时的权重动态变更算法。分析结果表明,该算法能解决多议题谈判中的议题相关性问题和议题权重的动态度量问题,使多议题谈判更加科学合理。     

基于OWL本体的UML类图推理

分析UML模型一致性检测的研究意义,以及UML类图推理的研究现状,提出一种基于OWL本体的UML类图推理方案.研究UML类图向OWL本体转换的映射规则,给出UML类图包含关系、可满足性、等价关系和相离关系的判断方法及其推理规则.利用Jena推理机制实现了UML类图包含关系、可满足性、等价关系和相离关系的推理.