ID	原文	译文
2863	然后，利用 Multisim 软件和开发板模拟并验证等效电气模型参数与充电时间的关联关系。	Afterwards, the Multisim and the development board had been used to simulate and verify the relationship between the equivalent electrical model parameters and the charging time in the degradation process of the inter-connect structure.
2864	最后，利用小系统试验板进行随机振动试验，研究互连结构退化过程。	Finally, in order to analyze the degradation process of interconnects, a small system test board was used for random vibration test.
2865	通过分析充电时间响应，并结合互连结构电镜图发现，充电时间能够较好地表征互连结构的失效过程及失效模式。	From the results, combined with the electron microscope image of the interconnect structure, it wasfound that the charge time can characterize the failure process and failure mode of the interconnect structure well.
2866	刑侦现勘图像数据库是具有保密性高、图像内容罕见等极具行业特色的图像数据库。	The image database of crime scene investigation (CSI)has the characteristics of high confidentiality, rareimage content and so on.
2867	针对现勘图像内容复杂、目标物体不明确的特点，提出了 DCT-DCT 波纹理特征，并与 HSV 颜色直方图特征、GIST 特征相融合构成融合特征。	Aiming at the complexity of the content and the ambiguity of the target object, the DCT-DCT wavetexture feature is proposed, which is fused with HSV color histogram feature and GIST feature to form the fusion feature.
2868	与常用的图像特征相比，DCT-DCT 波纹理特征能够得到较高的检索效率，而融合特征的平均检索查准率高于构成其本身的三种特征的平均检索查准率。	Compared with the commonly used image features, DCT-DCT wave texture feature can get higher retrieval efficiency, andthe average retrieval precision rate of the fused features is higher than that of the three features.
2869	最后，将语义分析技术引入到检索过程中，提出基于检索结果优化的现勘图像检索算法，利用支持向量机(Support Vector Machine，SVM)分类器对查询图像进行语义提取，	Finally, the semantic analysis technology is introduced into the retrieval process, and an image retrieval algorithm based on the optimization of retrieval re-sults is proposed. Support vector machine (SVM)classifier was used to extract the semantic of the query image.
2870	并对初次检索的结果进行语义分析，根据初检结果中语义类别的占比选择二次检索方案，该算法能在按例查询的基础上进一步提高平均检索查准率。	The seman-tic analysis of the results of the first retrieval is carried out, and the second retrieval scheme is selected according to the pro-portion of semantic categories in the initial retrieval results. The algorithm can further improve the average retrieval accuracy based on case-by-case query.
2871	为精确提取露天停车场内颜色混杂的车辆，提出一种基于随机投影深度函数的车辆提取方法。	An algorithm of extraction of vehicles based on random projection depth function is proposed for accurately extracting vehicles with different colors in outdoor parking lots.
2872	随机投影深度函数可有效区分 RGB 彩色空间中数据集的数据中心与离群值，充分利用各车辆颜色特征的复杂性及其与停车场背景颜色特征的差异性，凸显具有离群值颜色特征的车辆。	The random projection depth function can effectively distin-guish the center and outlier of the data set in RGB color space, and in this way, the vehicles whose color characteristics act asoutlier are highlighted.