基于模糊支持向量机的网络入侵检测技术

针对支持向量机算法中存在对噪声数据和异常数据敏感的问题，提出了模糊支持向量机算法，并应用于入侵检测．该算法是在传统支持向量机分类器的构造方法中引入隶属度函数，根据不同输入所得到的分类结果，产生相应的惩罚值．将这个方法应用到入侵检测系统中，能较好地将正常数据和异常数据区分开．实验结果表明，采用模糊支持向量机的入侵检测技术，其误报率低于基于支持向量机的入侵检测，同时其检测率也相对较高．     

Yarn Properties Prediction Based on Machine Learning Method

Although many works have been done to constructprediction models on yarn processing quality, the relationbetween spinning variables and yam properties has not beenestablished conclusively so far. Support vector machines(SVMs), based on statistical learning theory, are gainingapplications in the areas of machine learning and patternrecognition because of the high accuracy and goodgeneralization capability. This study briefly introduces theSVM regression algorithms, and presents the SVM basedsystem architecture for predicting yam properties. Model.selection which amounts to search in hyper-parameter spaceis performed for study of suitable parameters with grid-research method. Experimental results have been comparedwith those of artificial neural network(ANN) models. Theinvestigation indicates that in the small data sets and real-life production, SVM models are capable of remaining thestability of predictive accuracy, and more suitable for noisyand dynamic spinning process.     

A Statistical Method for Analysis of Technical Data of a Badminton Match Based on 2-D Seriate Images

The use of computer vision technology to collect and analyze statistics during badminton matches or training sessions can be expected to provide valuable information to help coaches to determine which tactics should be used by a player in a given game or to improve the player＇s tactical training. A method based on 2-D seriate images by which statistical data of a badminton match can be obtained is presented. Image capture and analysis were performed synchronously using a multithreading technique. The regions of movement in the images were detected using a temporal difference method, and the trajectories of the movement regions were analyzed using sedate images. The shuttlecock trajectory was extracted from all detected trajectories using various characteristic parameters. The stroke type was determined by comparing the shuttlecock trajectory data with a set of stroke definition data. The algorithm was tested at a training center, and the results were compared with baseline data obtained by expert visual inspection using four video samples, which included approximately 10 000 frames. The shuttlecock trajectory and stroke type were detected correctly in almost 100% of the analyzed video sequences. The average speed of the automated analysis was approximately 40 frames/s, indicating that the method can be used for real-time analysis during a badminton match. The system is convenient for use by a sports coach.     

数控机床现状及发展中的主要问题

简述了数控机床在中国的地位及现状，分析了数控机床发展的趋势及我国现存的主要问题。     

Active Vibration Isolation System for Sub-microultra-precision Turning Machine

Now vibration isolation of ultra-precision machine tool is usually achieved through air-springs systems. As far as HCM-I sub-micro turning machine developed by HIT, an active vibration isolation system that consists of air-springs and electro-magnetic actuators was presented. The primary function of air-springs is to support the turning machine and to isolate the high-frequency vibration. The electro-magnetic actuators controlled by fuzzy-neural networks isolate the low-frequency vibration. The experiment indicates that active vibration isolation system isolates base-vibration effectively in all the frequency range. So the vibration of the machine bed is controlled under 10-6g and the surface roughness is improved.     

自动调线机控制系统选针器定位的实现

设计了一种基于单片机的自动调线机控制系统,介绍了系统的各个组成部分及工作原理,详细设计了增量式旋转编码器对自动调线机的选针器准确定位的方法,实例证明该定位方法能够使系统准确、稳定地工作。     

两种产生模糊决策树的启发式比较(英文)

比较与分析了产生模糊决策树的两种启发式 :一种是广泛使用的最小模糊性 ,另一种是可能性分布的最小不可指定性。分析表明这两种启发式在很大程度上能得到同样的扩展属性 ,而且比较分析的结果也为如何在实际学习问题中选取合适的启发式提供了一些有用的信息。     

基于EFSM模型的不可行迁移路径判定

扩展有限状态机(Extended Finite State Machine:EFSM)虽然被广泛用作各种软件的底层模型,但如何判定其测试序列的不可行性是一个困难的问题,为此将迁移路径上的变量分为计数器变量、选择变量和矛盾变量,并从这三个角度进行路径的不可行判定.实验结果表明,EFSM模型中的不可行迁移路径主要由这三类变量引起,且本方法可以有效地判定出含这三类变量的不可行迁移路径.     

基于准时制的主生产计划方法

在当今的市场竞争中，能否及时供货和满足客户的要求关系到企业的信誉。为了提高企业的竞争能力，制造业都致力于采用日本的准时生产的策略。在前人研究的基础上，建立了适合于单件小批的主生产计划模型，这一模型有３个特点：（１）保证产品及时交货，也就是提前和滞后于交货期都要受到惩罚；（２）模型考虑了带有小批与单件并存的生产情况；（３）产品对能力的需求数据，考虑了分时段分布特点，并采用聚合算法从工艺路线和产品结构数据聚合而成。在对这一模型构造启发式算法的基础上，实现了主生产计划系统。该系统具有方便的人机界面，能够对由启发式算法产生的解进行修改。     

论新时期青年价值观教育

青年价值观多元化、世俗化引起青年工作者的思考,了解青年实际特点,更新教育内容、观念、方法成为当务之急。