VPDN是L2TP模块以及PPTP模块中和VPDN组打交道的一个子模块,主要用于创建 和管理VPDN组信息,NAC(Network Access Concentrator)和ns(Network Server 又称 Tunnel Server)都需要从VPDN组配置中获取相关的信息,用于创建通道和会话

下面是打开 debug信息,并观察到的端口备份功能的相关信息

提出了基于模糊神经网络的新的地图匹配算法.该算法综合了数字道路信息和GPS/DR定位信息,提取两个重要参数作为输入变量,即定位点到候选路段的投影距离及定位航向与候选路段方位角差.设计出了四层模糊神经网络及改进的收敛学习规则.实验结果表明所提出的算法能很好地匹配车辆行驶路段位置

Part 1 Objectives Part 2 Discussion Part 3 Background Part 4 Structure Study Part 5 Language points Part 6 Content Questions

Text A All the Cab Had Was a Letter Part 1 Objectives Part 2 Cultural Notes Part 3 Text Structure Part 4 Language Points Part Content Questions

Teaching Objectives 1)understand the main idea(despite the many negative effects of virtual life the author prefers it to real life) and the structure of the text(contrast between virtual life and real life); -2)learn some rules of interpreting new vocabulary

grasp the main idea(we should adopt a sensible environmentalism) and the structure of the text(each part containing a contrast) 2)appreciate the various argumentative skills employed in the text 3master the key language points and grammatical structures in the text

At least 90 percent of UFO sightings can be identified as conventional objects, although time-consuming investigations are often necessary for such identification. The objects most often mistaken for UFOs are bright planets and stars aircraft, birds, balloons kites aerial flares, peculiar clouds, meteors and satellites. The remaining sightings most likely can be attributed to other mistaken sightings or to inaccurate reporting hoaxes or delusions although to disprove all claims made about UFOs is impossible

Objectives Students will be able to: 1. understand the main idea(cloning is a two- edged sword) and structure of the text; 2. appreciate the writing strategies employed by the author, 3. master the key language points and grammatical structures in the text;

为了解决社交网络中用户申请加入群组的合适性判断问题，将安全多方计算技术中的求和协议与秘密比较协议相结合提出了保护私有信息的合群判定协议.其中基础协议解决一维线性模型下问题的安全求解，扩展协议对基于圆边界的多维模型情况进行判定.针对单一申请者与网络群组多用户的特点，将问题转换为两方计算模型可实现的形式，在证明了协议正确性的基础上分析协议的复杂度，并且利用安全视图的方法逐步验证了在协议执行过程中不会泄露任何个人的隐私数据.实际使用中协议能够有效地回避盲目的系统推荐和管理员离线所产生的判定时延，同时保护申请者和群组成员的隐私数据