面向入侵检测的改进BMHS模式匹配算法

模式匹配算法是入侵检测系统中使用较多的一种算法。分析几种常用模式匹配算法,提出一种基于BMHS的改进算法——N-BMHS算法。该算法对字符串进行双向模式匹配,引入一个新的数组s记录模式串中字符的出现次数,次数为1时可以利用已匹配的信息来辅助得到模式串的最大移动距离。实验结果表明,改进的模式匹配算法能减少比较次数,有效提高匹配速度。     

基于Schema的Web框架设计

现有Web框架没有充分考虑面向pojo对象的编程和XML到关系数据库的映射,导致系统中pojo对象与数据库关系表和其他对象之间的紧耦合。针对该问题提出一种基于Schema的开发框架,该框架考虑数据库关系表与DTD的依赖,集中且合理地布置系统中的pojo代码,方便service对象调用DAO对象,是一种易于扩展和维护的Web框架。     

设计模式在民航信息平台中的应用

为了在面向服务设计中有效提高系统的灵活性、敏捷性,以民航综合信息平台为背景,使用设计模式构建面向服务的应用系统。针对民航综合信息平台的核心服务设计,提出服务接口和服务网关2种面向服务的设计模式,将其实现在应用系统中,以验证设计模式在面向服务系统设计中的有效性。     

K Nearest Neighbor Equality: Giving equal chance to all existing classes

The nearest neighbor classification method assigns an unclassified point to the class of the nearest case of a set of previously classified points. This rule is independent of the underlying joint distribution of the sample points and their classifications. An extension to this approach is the k-NN method, in which the classification of the unclassified point is made by following a voting criteria within the k nearest points.The method we present here extends the k-NN idea, searching in each class for the k nearest points to the unclassified point, and classifying it in the class which minimizes the mean distance between the unclassified point and the k nearest points within each class. As all classes can take part in the final selection process, we have called the new approach k Nearest Neighbor Equality (k-NNE).Experimental results we obtained empirically show the suitability of the k-NNE algorithm, and its effectiveness suggests that it could be added to the current list of distance based classifiers.     

A model of cerebral cortex formation during fetal development using reaction-diffusion-convection equations with Turing space parameters

The cerebral cortex is a gray lamina formed by bodies of neurons covering the cerebral hemispheres, varying in thickness from 1.25 mm in the occipital lobe to 4 mm in the anterior lobe. The brain's surface is about 30 times greater that of the skull because of its many folds; such folds form the gyri, sulci and fissures and mark out areas having specific functions, divided into five lobes. Convolution formation may vary between individuals and is an important feature of brain formation; such patterns can be mathematically represented as Turing patterns. This article describes how a phenomenological model was developed by describing the formation pattern for the gyri occurring in the cerebral cortex by reaction diffusion equations with Turing space parameters. Numerical examples for simplified geometries of a brain were solved to study pattern formation. The finite element method was used for the numerical solution, in conjunction with the Newton–Raphson method. The numerical examples showed that the model can represent cerebral cortex fold formation and reproduce pathologies related to gyri formation, such as polymicrogyria and lissencephaly.     

Patterns for multigrid equidistributed functions: Application to general parabolas and length estimation

We show that for some special functions (called k-multigrid equidistributed functions), we can compute the limit of the frequency of patterns in the discretization of their graph, when the resolution tends to zero. This result is applied to parabolas. We deduce also that local length estimators almost never converge to the length for the parabolas.     

汉英翻译系统英文生成中选词模型的设计

本文描述了一种基于实例比较,辅以语义模式匹配的英文选词模型的设计。首先,我们讨论了汉英翻译系统英文生成中选词的重要性,然后比较了几种可能的选词策略并提出我们的选词模型,接着我们较详细地描述了生成词典的结构以及选词算法。文中,我们还简要介绍了我们所使用的语义知识资源——《知网》。     

激光变长线快速成型系统中的图形分区算法

在建立激光变长线快速成型系统加工过程的数学模型的基础上,提出了一种可对任意平面图形进行分区处理的分区算法,该算法的使用不仅使所得分区图形能满足激光变长线扫描的要求,还可以使平面图形的分区数最少,有利于成型机激光器使用寿命和加工效率的提高。     

基于模式化知识和人工神经网络的智能设计系统框架研究

阐述了将神经网络和模式识别引入智能设计系统的模型－集成转换模型,在该模型中,对智能系统与设计的实现系统的结合进行了探讨,提出了数值编译器与反编译器、图形／编码转换器等将神经网络引入设计系统来的工具和方法。     

显示地域风情的一枝民间奇葩——蔚县剪纸地域特色赏析

剪纸——俗称"窗花"。蔚县剪纸源于乡间农村,如实反映了乡间农村生活的真实画卷。蔚县剪纸以其特有地域特色在全国各地的民间剪纸中独树一帜,保持着旺盛的生命力。蔚县剪纸题材广泛,意寓深远,充满生活气息,体现了民间艺人高超的智慧和丰富的想象力。加上精美的造型设计、精湛的刀工、独特的点染技艺,每一件作品都十分形象生动,成为我国剪纸艺术园林中的一支耀眼的奇葩。