在移动互联网CMENT上开展移动数据业务时,网络的安全性一直是其面临的、急需解决的问题之一。文章在分析浙江移动CMNET网络的基础上,提出了在CMENT网络上采用MPLSVPN技术构建“业务虚拟专网”的方法,来提高数据业务的安全性,并以“短信行业网关+企业信息机”的行业应用为实例作了重点分析,实践表明在CMNET中建立业务虚拟专网是解决业务网络安全性的手段之一。
通用分组无线业务(General Packet Radio Service,GPRS)作为GSM网络新的承载服务,解决了传统GSM网中数据传递慢、计费方式单一的缺点.本文重点是对GPRS移动性管理和无线资源分配做了详细分析,并对GPRS计费原则做了进一步的研究.
We elaborated a mathematical model of motion vector estimation of artificial heart and studied its significance. Based on the physical characters of fluid field, the model presented algorithm model of approximation in limited region, which replaced the classical fluid dynamic equation with the low-order dynamic model. A complete algorithm model was therefore formed through study of the feature of DPIV (Digital particle image velocimetry), in which the optical flow equation was associated with low dynamic model. It overcame some deficiencies in traditional DPIV correlation algorithm, which were time-consuming and liable to false correlation peak values. Furthermore, detail variations of fluid field of the artificial heart could be detected using the first-order approximation method. And all these were difficult to be obtained by the traditional algorithm. Besides these advantages, the motion vector of artificial heart could also be obtained. Finally experimental results of motion vector estimation of artificial heart were shown by use of this model.
The improved Class Featuring Information Compression (CLAFIC) algorithm can provide a better initial subspace for Learning Subspace Method (LSM). On the base of these subspaces, training of each subspace is rotated in different ways by LSM, which conduces to improving recognition rate of optical character recognition (OCR). The characteristic of this paper is to realize the optical character recognition by adopting LSM on character gray scale level, and therefore overcomes main shortages of classification on the binary scale level, and keeps integrity features of character information to the extreme. The results show that the effect of recognition has been improved by the CLAFIC LSM algorithm, which makes it highly worth applying to OCR fields.
