ID 原文 译文
47046 为了更好地解决无线传感器网络节点定位精度和锚节点数目之间的矛盾，提出一种基于连通性的移动锚节点定位算法。 In order to better solve the contradiction between precision of localization and the number of anchor nodes inwireless sensor network, a mobile anchor node localization technology based on connectivity was proposed.
47047 首先，对网络节点的覆盖特性进行分析，发现锚节点移动步长与通信半径之间存在临界值，在此临界值周围变化移动锚节点，覆盖特性会发生变化； First, thecoverage characteristic of the network nodes was analyzed, and a critical value was found between the mobile step andthe anchor node communication radius, mobile anchor nodes' coverage characteristic would change when near this criti-cal value.
47048 其次，利用单个可移动的锚节点按照规划路径形成定位区域的无缝覆盖； Second, a mobile anchor node followed a planning path to form a positioning area seamless coverage was used.
47049 最后，利用网络的连通性，在不需要高精度测距技术的条件下，节点根据接收到的信息分组进行位置估计。 Finally, when there was no need for high-precision technology, node position would been estimated according with theconnectivity of the network and the receiving information of the node.
47050 仿真结果表明，提出的定位算法可实现粗粒度定位，且所使用的路径可实现待定位节点全部定位。 The simulation results show that the proposed al-gorithm can realize coarse-grained localization, and paths perform complete localization.
47051 提出了一种利用支持向量机改进的朴素贝叶斯算法——TSVM-NB 算法。 A method of improved support vector machine naive Bayes algorithm was proposed——TSVM-NB algorithm.
47052 首先利用 NB 算法对样本集进行初次训练，利用支持向量机构造一个最优分类超平面，每个样本根据与其距离最近样本的类型是否相同进行取舍，这样既降低样本空间规模，又提高每个样本类别的独立性，最后再次用朴素贝叶斯算法训练样本集从而生成分类模型。 First using NB algorithm to initial sample set, constructing an optimal classification by SVM, each sample according toits distance from the sample was the same type of recent choice, so as to reduce the size of the sample space, but also im-prove the independence of each sample the last category, again with naive Bayes algorithm training set to generate theclassification model.
47053 仿真实验结果表明，该算法在样本空间进行取舍过程当中消除了冗余属性，可以快速得到分类特征子集，提高了垃圾邮件过滤的分类速度、召回率和正确率。 Simulation results show that the algorithm selection process to eliminate the redundant attributes inthe sample space, the classification feature subset can be got quickly and improve spam filtering classification speed, re-call rate and accuracy of the same algorithm.
47054 拒绝服务（DoS, denial of service）攻击是云计算平台面临的主要安全威胁之一。 Denial of service (DoS) attack was one of the major threats to cloud computing.
47055 安全访问路径算法（SAPA,security access path algorithm）通过节点路由表（NRT, node route table）合成安全路径， Security access path algorithm(SAPA) used node route table (NRT) to compose security access path.