License Plate Recognition Based on Transform Coding and Neural Network

A method of vehicle license plate recognition utilizing Karhunen-Loeve(K-L)transform is provided.The transform is used to extract features from a mass of image templates,to describe high-dimensional images with low-dimensional ones,and moreover,to implement data compression and play down complexity of the neural network.With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network,the method does effectively in recognizing license plates.     

Markov Model for Packet Scheduling in the Transmission of Streaming Media

The difficulties in the transmission of streaming media are analyzed, the packet scheduling on the streaming media server is studied. A Markov model is proposed under the effect of the complex dependency among the streaming media packets and the parameters of the transmission channel. On the basis of the Markov model,a policy is made to queue the streaming media packets in the sending buffer by using the iteration method, which can optimize the playback quality under the lack of the channel bandwidth.     

一种Internet上流媒体代理高速缓存的框架

文章采用代理高速缓存技术解决Internet上流媒体传输时瓶颈带宽对传输质量的影响，分析了现有Web缓存技术用于音频、视频等连续媒体对象的不足，提出了一种新的流媒体代理高速缓存的框架，讨论了框架中各模块实现的关键技术。     

集团企业MIS系统的集成技术

本文论述我国集团型企业MIS系统集成的关键技术，以内蒙准格尔煤炭工业公司的ZMIS为对象，讲述了集团企业多个LAN的集成，计算机网与通信系统的集成，不同业务范围的MIS集成，异构特性的MIS集成，以及如何达到集成的MIS的高可靠性。     

Service Model for Multi-Provider IP Service Management

In order to solve the problems associated with Internet IP services management, a generic service model for multi-provider IP service management is proposed, which is based on a generalization of the bandwidth broker idea introduced in the differentiated services (DiffServ) environment. This model consists of a hierarchy of service brokers, which makes it fit into providing end-to-end Internet services with QoS support. A simple and scalable mechanism is used to communicate with other cooperative domains to enable customers to dynamically setup services connections over multiple DiffServ domains. The simulation results show that the proposed model is real-time, which can deal with many flow requests in a short period of time, so that it is fit for the service management in a reasonably large network.     

二次信息过滤中的分类算法研究与应用

二次信息过滤是根据搜索引擎返回的网页,对过滤结果进行理解、分析并进一步过滤,以使结果优化。二次过滤中的样本分类处理中,通过对基于Bayesian算法的网页识别技术的研究,探讨了基于改进的Bayesian算法的网页识别技术,用于对二次过滤中的整篇文档进行进一步的分析以提高过滤效果。     

蓝牙中的音频与视频控制

首先介绍了蓝牙及其体系结构 ;然后讨论了蓝牙音频与视频控制的基本概念及其应用模型 ,详细阐述了该控制系统的设计与实现 ;最后给出了一个具体应用的开发实例。     

数字图书馆网格互操作框架

随着全球数字图书馆(DLs)的迅猛发展,互操作成为亟待解决的重要问题。目前DLs互操作的主要解决方案包括:分布式搜索、元数据收集、中间件技术等,在实现大规模的数字图书馆互操作方面都存在一定的局限性。文章通过对已有方案的分析和对比,指出各自的优势和不足,并在OAI-PMH框架的基础上,结合先进的网格技术,提出全新的数字图书馆互操作框架—数字图书馆网格DLGrid,为解决大规模数字图书馆的互操作提供一种新途径。     

基于定制时间约束的正负时态关联规则挖掘

传统关联规则挖掘是在整个事务数据库的时间范围内进行的,但有时用户想得到某一特定时间范围(如商品的促销阶段)内的关联规则,该文对这一问题进行了详细讨论,提出了基于定制时间的时态支持度、时态频繁项集、时态置信度、时态关联规则等概念,在传统Apriori算法的基础上提出了挖掘时态频繁项集的算法。另一方面,讨论了当同时考虑正、负关联规则出现的矛盾规则问题以及用相关性解决这一问题的方法,提出了挖掘正负时态关联规则的算法,实例说明了算法的执行过程及有效性。