ID 原文 译文
44796 实验表明 IABC 求解大规模 CBTSP 问题的求解质量优于其他对比算法。 Experiments show that IABC can demonstrate better solution quality than other compared algorithms for large scale CBTSP.
44797 针对当前网络环境下由隐私数据识别困难问题所引出的隐私度量与分级需求，提出了一种基于 Shannon信息熵与 BP 神经网络的隐私数据度量与分级模型。 Aiming at the requirements of privacy metric and classification for the difficulty of private data identification in current network environment, a privacy data metric and classification model based on Shannon information entropy and BP neural network was proposed.
44798 该模型从 3 个维度建立了两层隐私度量要素， The model establishes two layers of privacy metrics from three dimensions.
44799 基于数据集本身，利用 Shannon 信息熵为二级隐私要素定权，并由此计算数据集中各条记录在一级隐私度量要素下的隐私量； Based on the dataset itself, Shannon information entropy was used to weight the secondary privacy elements, and the privacy of each record in the dataset under the first-level privacy metrics was calculated.
44800 利用 BP 神经网络在不预设度量权值的情况下，输出隐私数据分级结果。 The trained BP neural network was used to output the classification result of privacy data without pre-determining the metric weight.
44801 实验表明，该模型能够在极低的误判率和较小的误判偏差下实现对隐私数据的度量与分级。 Experiments show that the model can measure and classify private data with low false rate and small misjudged deviation.
44802 深入研究了信号特征谱表示与平稳随机信号谱分解统一的关系。 The unified relationship between the signal characteristic spectrum representation and the spectral decomposition for the stationary random signal was deeply studied.
44803 利用微分算子、积分算子与特征微分方程格林函数的关系，分析了厄尔密特微分算子与厄尔密特积分算子的互逆关系，指出了特征微分方程存在与其对应的特征积分方程，并给出了厄尔密特微分算子与厄尔密特积分算子的谱表示式，以及将这 2 种算子的谱表示统一的一般表示式。 By using the relations among the differential operators, the integral operator and the Green's function of the characteristic differential equation, the inverse relationship between the Hermitian differential operator and the Hermitian integral operator were given, the characteristic differential equation and corresponding characteristic integral equation were demonstrated, and the spectral representations of both Hermitian differential and integral operators and the general spectral representations for both operators were provided.
44804 利用对平稳随机信号谱分解的随机振幅简谐振动叠加法及希尔伯特空间酉算子法进行分析研究，明确了信号特征谱表示与平稳随机信号谱分解的联系及数学上的统一。 Based on the superposition method of the stochastic simple harmonic vibration and the Hilbert space unitary operator method for the stationary random signal spectral decomposition, the connection and unification on mathematics of the signal characteristic spectral representation and the stationary random signal spectral decomposition are revealed.
44805 针对 D2D（device-to-device）通信复用蜂窝资源所带来的干扰问题，提出了一种单小区蜂窝系统下 D2D通信的干扰控制和资源分配算法。 In order to solve the problem of interference caused by D2D users reuse cellular resources in cellular network,an algorithm of interference control and resource allocation of D2D communication in single cell cellular system was proposed.