ID 原文 译文
25925 但目前在基于 ＲＲAM 的 PUF 设计方案中，ＲＲAM 延时单元的测试响应对(ChallengeＲesponse Pair，CＲP)效率并不够高。 However, in the ＲＲAM-based PUF design, the ＲＲAM delay unit's test response pair (Challenge Ｒesponse Pair, CＲP) efficiency is not high enough．
25926 本文提出一种基于 ＲＲAM 延时单元的 PUF 结构，延时单元将 ＲＲAM 的阻值输出到反向器中，形成脉冲的延迟，最后通过判决器判断两路脉冲达到顺序并编码为“0”和“1”，这就是 PUF 的输出位。 In this paper, a PUF structure based on ＲＲAM delay unit is proposed. The delay unit outputs the resistance of the ＲＲAM to the inverter toform a delay of the pulse. Finally，the determiner determines that the two pulses are in sequence and is coded as“0”and“1”, this is the output bit of the PUF．
25927 基于ＲＲAM 延时单元，本文设计了 8 位、16 位、32 位、64 位 PUF，这些 PUF 在保证良好的随机性、稳定性、唯一性的前提下，大大提高了 PUF 的 ＲＲAM 单元效率。 Based on the ＲＲAM delay unit, this paper designs 8-bit, 16-bit, 32-bit, 64-bit PUF. These PUFs greatly improve the efficiency of PUF ＲＲAM cells under the premise of ensuring good randomness, stability and uniqueness．
25928 实验结果表明:该设计能够有效的提高 ＲＲAM 使用效率，使得 PUF 能够更好地防止外界的攻击。 The experimental results show that the design can effectively improve the efficiency of ＲＲAM, so that PUF can preventexternal attacks better．
25929 针对复杂背景下显著性检测方法不能够有效地抑制背景，进而准确地检测目标这一问题，提出了超像素内容感知先验的多尺度贝叶斯显著性检测方法。 Existing saliency detection methods can not suppress the background effectively and detect the salient object accurately in complex background, a method of superpixel content-aware priors based multi-scale Bayesian saliency detection is proposed．
25930 首先，将目标图像分割为多尺度的超像素图，在每个尺度上引入内容感知的对比度先验、中心位置先验、边界连通背景先验来计算单一尺度上的目标显著值; Firstly, the image containing object is segmented into multi-scale superpixel maps, then the content-aware priors ofcontrast priors, center position priors, and boundary connected background priors are introduced on each scale to calculate the salient object values on a single scale;
25931 其次，融合多个尺度的内容感知先验显著值生成一个粗略的显著图;然后，将粗略显著图值作为先验概率，根据颜色直方图和凸包中心先验计算观测似然概率，再使用多尺度贝叶斯模型来获取最终显著目标; Secondly, the content-aware priors values of the various scales generate a rough saliency map; Thirdly, the rough saliency map value is used as the prior probability, and the likelihood is calculated according to the color histogram and the convex hull center, using the multi-scale Bayesian model to obtain the final salient object ;
25932 最后，使用了 3 个公开的数据集、5 种评估指标、7 种现有的方法进行对比实验，结果表明本文方法在显著性目标检测方面具有更好的表现。 Finally, three public data sets, five evaluation indicators, and seven existing methods are used for comparative experiments. The experiments show that the method has better performance in the detection of salient objects．
25933 微波毫米波芯片非破坏高分辨率近场分布成像对高频射频芯片的功能和失效分析至关重要。 The nondestructive and high-resolution near-field distribution imaging of microwave and millimeter wavechips is very important for the function and failure analysis of ＲF chips．
25934 本实验基于金刚石 NV(Nitrogen-Vacancy)色心这一独特的量子体系，选取直径约为 14μm 的金刚石样品，将其粘附于 20μm 直径的光纤锥形尖端，制备成高分辨、非破坏、微型化的探针，通过分析 NV 色心在微波场变化中的基态自旋演化规律，采用全光学的方法，一次性成像，获得芯片表面整体场分布。 This experiment is based on the unique quantum system of diamond NV(nitrogen-vacancy)color center. A diamond sample with a diameter of about 14μm is selected and adheredto the tapered tip of a 20μm fiber. A high-resolution, non-destructive and miniaturized probe is prepared by analyzing theground state spin evolution law of NV color center in the change of microwave field, and the all optical method is used. The whole field distribution on the chip surface is obtained by imaging．