浅析单点登录系统(SSO)

单点登录技术是当前网络安全应用中的一项重要的技术,在万维网服务环境中能大大提高信息的安全度及工作效率.介绍和分析了当前两种主流单点登录协议的基本特点及实现流程,对单点登录一般模型及原理进行阐述.     

浅谈网格技术与无线电管理的有效结合

文中阐述了网格技术的基本概念,并结合国内无线电管理发展现状,提出了与无线电管理工作的结合创新性思路和解决途径,重点分析了管理和业务的网格化实现方式,以及目标数据,提出了区域信号数据库和无线电管理对象数据库的建立实例,可为无线电管理相关行业的技术人员提供参考.     

DVB-S2系统中LDPC码的编码算法的研究

本文介绍了DVB-S2标准中所采用的IRA LDPC码的结构,在研究其结构的基础上分析了直接型IRA码编码技术以及串行Turbo码编码技术.采用对比特节点所对应的所有校验节点进行并行编码运算的硬件实现方法,大大提高了编码器的工作速率.     

论多媒体教学的特点及其在教学实践中的应用

随着科技的进步,计算机网络技术也在不断发展.伴随着教学改革的深入和办学条件的优化,多媒体教学作为一种新的教学手段被广泛应用于各个学校的教学活动中.多媒体教学技术是一种建立在计算机网络技术上的现代化教学手段,已经取代了传统的黑板粉笔式的手工教学,这对增强学生的学习兴趣,以及提高教师教学效率方面有着积极的推动作用.     

基于ZigBee协议的无线传感网路及应用

无线传感网络因其巨大的应用前景,已经引起了学术界的高度关注,成为科学界研究的热点问题之一。本文先对无线传感网路进行基本概述,接着介绍了ZigBee协议,最后以家用自动化的实例描述了基于ZigBee协议的无线传感网路及应用。     

基于EDA的单片机实验教学改革的研究与应用

本文根据单片机原理与接口理论和实验教学的经验与研究,分析了目前这门课程实验教学的特点和存在的问题,提出将EDA仿真技术应用于实验教学的先进教学方法,可以大大提高学习积极性和总体能力。     

New insights on survivability in multi-domain optical networks

With the development of intelligent optical networks and the general multi-protocol label switching (GMPLS) technique, the seamless convergence between IP network and optical network is no longer be a dream but a practical reality. Similar to the Internet, current optical networks have been divided into multiple domains each of which has its own network provider and management policy. Therefore, the development of multi-domain optical networks will be the trend of new-generation intelligent optical networks, and GMPLS-based survivability for multi-domain optical networks will become a hot topic of research in the future. This paper provides a comprehensive review of the existing survivable schemes in multi-domain optical networks and analyzes the shortcomings of current research. Based on previous studies, we present possible challenges and propose new ideas to design efficient survivable schemes to guide the future work of researchers in multi-domain optical networks.     

Use of a dark object concept and support vector machines to automate forest cover change analysis

An automated method was developed for mapping forest cover change using satellite remote sensing data sets. This multi-temporal classification method consists of a training data automation (TDA) procedure and uses the advanced support vector machines (SVM) algorithm. The TDA procedure automatically generates training data using input satellite images and existing land cover products. The derived high quality training data allow the SVM to produce reliable forest cover change products. This approach was tested in 19 study areas selected from major forest biomes across the globe. In each area a forest cover change map was produced using a pair of Landsat images acquired around 1990 and 2000. High resolution IKONOS images and independently developed reference data sets were available for evaluating the derived change products in 7 of those areas. The overall accuracy values were over 90% for 5 areas, and were 89.4% and 89.6% for the remaining two areas. The user's and producer's accuracies of the forest loss class were over 80% for all 7 study areas, demonstrating that this method is especially effective for mapping major disturbances with low commission errors. IKONOS images were also available in the remaining 12 study areas but they were either located in non-forest areas or in forest areas that did not experience forest cover change between 1990 and 2000. For those areas the IKONOS images were used to assist visual interpretation of the Landsat images in assessing the derived change products. This visual assessment revealed that for most of those areas the derived change products likely were as reliable as those in the 7 areas where accuracy assessment was conducted. The results also suggest that images acquired during leaf-off seasons should not be used in forest cover change analysis in areas where deciduous forests exist. Being highly automatic and with demonstrated capability to produce reliable change products, the TDA-SVM method should be especially useful for quantifying forest cover change over large areas.     

Interpersonal perception in bulletin board systems among Chinese Internet users

A study investigating the accuracy of interpersonal perception in Internet Bulletin Board Systems (BBS) and the variables that affect the accuracy were conducted in two phases: in the phase one, 58 participants were selected from the BBS which was built on the Internet in advance. During the phase two, participants were requested to complete the Myers–Briggs Type Indicator (MBTI) to assess their personalities, and to choose another member in the BBS as their “target”. The assessment packets were then administered to the participants in the following order: the demographic and Internet use survey, the MBTI used by the judge to assess their target’s personality, and the relationship survey between judge and target. The results showed that 76.7% participants made the correct judgment on two to three out of four dimensions of the personality type. The correlation analysis indicated that the variables affected the accuracy were from four aspects: judge, target, relationship and similarity. The binary logistic regression analysis showed that the target’s personality, the judge’s education level, the similarity between them, the stereotypes and projection played important roles on the accuracy. Possibilities for future research on this issue are also briefly discussed.     

一种新颖的无线传感器网络双向路由协议

目前对于传感器网络路由协议的研究越来越引起科学和工程界的广泛重视,但对于双向路由协议的研究还相对比较少,这是由于在传感器网络中,现有带宽对上行和下行链路同时工作支持得并不是很充分。一般来说,基于树型结构的上行路由被用来从感知节点接收数据,而下行路由一般以泛洪的方式广播兴趣信息到感知节点,这导致在下行链路上经常出现过载的情况。本文基于新颖的地址标记方式提出了一个有效的传感器网络双向链路路由协议,而且该方式在每个节点上只占用很小的地址空间。仿真结果表明,相对于传统的泛洪方式的路由协议来说,我们所提出的路由协议所产生的控制包数量远远小于已有路由协议。