ID 原文 译文
19905 研究结果表明，原理样机在系统分辨率、体积、重量等方面具有处于业内领先水平，飞行试验获得了聚焦效果良好的高信噪比(SNR)图像。 Theresults show that the resolution, volume and the weight of Mini SAR prototype is at the industry-leading level.A high SNR imaging with perfect focusing effect is obtained from flight test.
19906 针对Apriori算法与FP-Growth算法在最大频繁项集挖掘过程中存在的运行低效、内存消耗大、难以适应稠密数据集的处理、影响大数据价值挖掘时效等问题，该文提出一种基于邻接表的最大频繁项集挖掘算法。 To solve the problems of Apriori algorithm and FP-Growth algorithm in the process of mining the maximal frequent itemsets, which refer to inefficient operation, high memory consumption, difficulty in adapting to the process of dense datasets, and affecting the time-effectiveness of large data value mining, this paper proposes a maximal frequent itemsets mining algorithm based on adjacency table.
19907 该算法只需遍历数据库一次，同时用哈希表对邻接表进行辅助存储，减小了遍历的空间规模。 The algorithm only needs to traverse the database once and adopts the hash table to store the adjacency table, which reduces the memory consumption.
19908 理论分析与实验结果表明，该算法时间与空间复杂度较低，提高了最大频繁项集挖掘速率，尤其在处理稠密数据集时具有较好的优越性。 Theoretical analysis and experimental results show that the algorithm has lower time and space complexity and improves the mining rate of maximal frequent itemsets, especially when dealing with dense datasets.
19909 树增强朴素贝叶斯(TAN)结构强制每个属性结点必须拥有类别父结点和一个属性父结点，也没有考虑到各个属性与类别之间的相关性差异，导致分类准确率较差。 The structure of Tree-Augmented Naïve Bayes (TAN) forces each attribute node to have a class node and a attribute node as parent, which results in poor classification accuracy without considering correlation between each attribute node and the class node.
19910 为了改进TAN的分类准确率，该文首先扩展TAN结构，允许属性结点没有父结点或只有一个属性父结点； In order to improve the classification accuracy of TAN, firstly,the TAN structure is proposed that allows each attribute node to have no parent or only one attribute node asparent.
19911 提出一种利用可分解的评分函数构建树形贝叶斯分类模型的学习方法，采用低阶条件独立性(CI)测试初步剔除无效属性，再结合改进的贝叶斯信息标准(BIC)评分函数利用贪婪搜索获得每个属性结点的父结点，从而建立分类模型。 Then, a learning method of building the tree-like Bayesian classifier using a decomposable scoring function is proposed. Finally, the low-order Conditional Independency (CI) test is applied to eliminating the useless attribute, and then based on improved Bayesian Information Criterion (BIC) function, the classification model with acquired the parent node of each attribute node is established using the greedy algorithm.
19912 对比朴素贝叶斯(NB)和TAN，构建的分类器在多个分类指标上表现更好，说明该方法具有一定的优越性。 Through comprehensive experiments, the proposed classifier outperforms Naïve Bayes (NB) and TAN on multiple classification, and the results prove that this learning method has certain advantages.
19913 异构签密可以保证异构密码系统之间数据的机密性和不可伪造性。 Heterogeneous signcryption can ensure the confidentiality and unforgeability of information data between different cryptosystems systems.
19914 该文分析了一个传统公钥密码(PKI)和身份密码(IBC)之间的PKI→IBC和IBC→PKI双向匿名异构签密方案的安全性，指出PKI→IBC方案和IBC→PKI方案均不能抵挡敌手攻击，敌手在获取密文前提下均可解密密文。 Security for the traditional Public Key Infrastructure (PKI) andIdentity-Based Cryptosystem (IBC) two-way and anonymous heterogeneous signcryption scheme betweenPKI→IBC and IBC→PKI is analyzed. It is pointed out that PKI→IBC scheme and IBC→PKI scheme can notresist adversary attacks. The ciphertext can be decrypted under the adversary obtaining the ciphertext.