ID 原文 译文
24875 方案构造中引入了区分函数，根据输入的发送方与接收方密钥情况来自动识别加密、签名和签密三种模式，保障了算法在这三种工作模式下的优美对称性。 In the construction, a distinguishing function is introduced, which automatically identifies the three modes of encryption, signature and signcryption according to the key conditions of the sender and the receiver. This ensures the excellent symmetry of the algorithm in these three modes.
24876 基于环上判定性 LWE问题，并借鉴 FO13 的方法，证明了该方案满足自适用抗选择密文攻击不可区分性安全性(IND-CCA2)和自适用抗选择消息攻击强不可伪造性安全性(SUF-CMA)。 Finally, based on the deterministic learning witherrors (LWE) problem on the ring, it used the method of FO13 to prove that the scheme satisfies the indistinguishability against adaptive chosen ciphertext attack (IND-CCA2) security and the strong unforgeability against choosing message attack (SUF-CMA) security.
24877 该方案是基于 Fiat-Shamir的中止(abort)框架，没有用到复杂的原像抽样和陷门生成算法，具有较高的计算效率。 It is based on Fiat-Shamir with abort framework which does not use complex preimage sample algorithm and trapdoor generation algorithm, so it has high computational efficiency.
24878 在软件测试领域，利用遗传算法生成测试用例是一个研究热点。 In the field of software testing, it is a hot research spot to generate test cases using genetic algorithm.
24879 传统方法在利用遗传算法生成测试用例时,需要计算每个个体的适应度。 In the traditional process of generating test cases by genetic algorithm, it is necessary to calculate the fitness of each individual.
24880 为了降低适应度计算的时间消耗并重用测试用例,提出一种融入支持向量机回归模型的测试用例生成与重用的方法。 In order to reduce the time consumption of fitness calculation and reuse test cases, a test case generation and reuse method based on support vector machine regression model is proposed.
24881 在使用遗传算法生成测试用例的过程中,利用一定数量的个体及其适应度作为样本训练支持向量机回归模型。 In the process of using genetic algorithm to generate test cases, a certain number of individuals and their fitness are used as samples to train the support vector machine regression model.
24882 在之后的种群进化中,根据回归模型计算个体适应度,同时利用回归模型查找适应度较高的个体并重用到新种群的进化中。 In the subsequent population evolution, individual fitness is calculated according to the regression model. At the sametime, individuals with higher fitness are found by the regression model and applied to the evolution of the new population.
24883 在某大型程序实验中,该方法与同类经典方法相比,覆盖率提高了 3%,平均进化代数也有所降低,其降低百分比达85.97%。 In the experiment on a large program, compared with that of the same classical method, the coverage rate of this approach is increased by 3% and the average evolutional time is also reduced by 85.97%.
24884 为了解决闪烁噪声统计特性未知情况下的多目标跟踪问题，提出一种鲁棒广义标签多伯努利（Generalized Labeled Multi-Bernoulli, GLMB）滤波器。 A robust generalized labeled multi-Bernoulli (GLMB) filter is presented to perform multi-target tracking(MTT) with unknown statistical characteristics of glint noise.