自动播控软件在硬盘播出系统中应用

随着计算机技术的不断发展,视音频服务器开始广泛应用于电视播出系统,电视播控进入了全硬盘时代。在这一高度自动化的领域中,计算机控制技术无可比拟的优越性得到了充分的体现,而相对于硬件来说,自动播控软件同样发挥着越来越重要的作用。     

基于JSP自动生成工具的实现

随着计算机及网络技术的发展,计算机技术有了新的发展。JSP是Web开发的最先进的技术,是当前Web开发人员的最好技术。但是由于JSP对web开发人员要求高,所以许多web开发人员还不能够使用这一项技术。本文基于JSP网页自动生成工具的设计和实现,提出具体的设计思想和实现方法。     

基于对象存储文件系统研究综述

网络数据信息爆炸性的增长,使网络存储技术变得越来越重要,已成为Interne汲其相关行业进一步发展的关键。近年来,存储技术的发展日新月异,已经由后台走到了前台,从而引发了数字技术的第三次浪潮。本文结合网络存储研究现状,将介绍一些热点网络存储技术及其新进展。     

一种DDOS在线检测法

由DDoS攻击时流量样本与Hurst指数的关系,得到检测DDoS的方法.以提升小波估计Hurst指数法为基础,设计出小波算法的能谱在线计算方法.与传统检测法相比,本法可在线观察业务流特征,能及时发现DDOS入侵。     

基于无线红外通讯的新型球场换人牌设计

本文设计了一种新型的基于无线红外通讯的电子式换人牌,通过无线红外通讯模块与单片机接口的应用,使得换人牌的显示信息由手操器无线传达。本文分析了红外通信原理,利用串行通信接口进行红外收发。设计硬件电路及相配合的软件程序,设计了震荡发生器,应用X5045进行数据存储和看门狗,应用74HC595进行数据的串入并出等。经试验证明可能够提高执场裁判员的工作效率,降低显示信息出错的几率。     

基于Fisher判别法的脑电图数据分析的研究

目的本文通过对客观记录的受试者脑电图数据进行Fisher判别分析,判断其能否应用于脑电数据特征提取和分类决策。为脑电图研究的其它分析做基础分析。方法根据α波的强弱不同将21导电极分为四类,分别对63例正常状态下受试者21导联电极的脑电图数据进行Fisher判别分析,并利用误判率回代估计法检验判别准确率。数据处理和统计分析采用独立设计的脑电图分析工具箱和Fisher判别分析程序。结果表明对63例正常状态下受试者的脑电图数据进行Fisher判别分析,预测各电极分类准确率82.3%。结论Fisher判别法预测准确率较高,脑电特征(主要为α波)提取较为准确,能较好的应用于脑电数据特征提取和分类决策中,从而辅助脑电图的检查和定量分析,为脑电图的检验提供有效的分析手段。     

SIISAM: A Model for Secure Inhomogeneous Information Systems

SIISAM is a multilayered, Web-service-based architecture model designed to guide construction of a secure, interoperable, and extensible information system that allows smooth interoperation of legacy applications. A pilot e-government system in China built using the model has achieved its targets in both functionality and performance.     

Results on rotation symmetric polynomials over GF(p)

In this paper, we generalize the recent counting results about rotation symmetric Boolean functions to the rotation symmetric polynomials over finite fields GF(p). By using Möbius function, we obtain some formulas for more general n, the number of variables. Some known formula in Boolean case are simplified.     

An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China

Snow is an important land cover on the earth's surface. It is characterized by its changing nature. Monitoring snow cover extent plays a significant role in dynamic studies and prevention of snow-caused disasters in pastoral areas. Using NASA EOS Terra/MODIS snow cover products and in situ observation data during the four snow seasons from November 1 to March 31 of year 2001 to 2005 in northern Xinjiang area, the accuracy of MODIS snow cover mapping algorithm under varied snow depth and land cover types was analyzed. The overall accuracy of MODIS daily snow cover mapping algorithm in clear sky condition is high at 98.5%; snow agreement reaches 98.2%, and ranges from 77.8% to 100% over the 4-year period for individual sites. Snow depth (SD) is one of the major factors affecting the accuracy of MODIS snow cover maps. MODIS does not identify any snow for SD less than 0.5 cm. The overall accuracy increases with snow depth if SD is equal to or greater than 3 cm, and decreases for SD below 3 cm. Land cover has an important influence in the accuracy of MODIS snow cover maps. The use of MOD10A1 snow cover products is severely affected by cloud cover. The 8-day composite products of MOD10A2 can effectively minimize the effect of cloud cover in most cases. Cloud cover in excess of 10% occurs on 99% of the MOD10A1 products and 14.7% of the MOD10A2 products analyzed during the four snow seasons. User-defined multiple day composite images based on MOD10A1, with flexibilities of selecting composite period, starting and ending date and composite sequence of MOD10A1 products, have an advantage in effectively monitoring snow cover extent for regional snow-caused disasters in pastoral areas.     

Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap

A residual-based moving block bootstrap procedure for testing the null hypothesis of linear cointegration versus cointegration with threshold effects is proposed. When the regressors and errors of the models are serially and contemporaneously correlated, our test compares favourably with the Sup LM test proposed by Gonzalo and Pitarakis. Indeed, shortcomings of the former motivated the development of our test. The small sample performance of the bootstrap test is investigated by Monte Carlo simulations, and the results show that the test performs better than the Sup LM test.