ID 原文 译文
45966 介绍了稀疏微波成像技术的在轨试验验证情况， The experiment aiming to verify the sparse microwave image methodology based on orbit SAR satellite was presented.
45967 试验中通过更改卫星系统成像参数，完成了系统均匀降采样数据的获取， During the experiment, the imaging parameters were changed in order to achieve the uniform de-sampling echo data.
45968 利用稀疏微波成像方法进行了成像处理，提出了面向稀疏微波成像处理的成像质量评估方法，并对成像结果进行了定量化评估。 The image quality evaluation method for sparse microwave imaging was proposed and quantified evaluation results for the experiment were also presented.
45969 最后根据试验结论，对稀疏微波成像技术在未来遥感卫星的应用方向进行了展望。 Finally, the remote applications of sparse microwave imaging were prospected.
45970 提出一个基于多层 SimHash 的相似度检测方法， A new similarity detection scheme based on hierarchical SimHash algorithm was proposed.
45971 通过对 APK 文件进行分析，最终从 5 个方面提取分析内容来表征 APK，同时在每一层上使用改进的 SimHash 方法进行相似度检测分析。 The scheme extractd contents from different aspects to represent the APK file, then used the improved SimHash to respectively represent the file.
45972 通过从 APK 文件中提取的Android Manifest.xml 文件、从 dex 反编译得出的 Smali 代码累加和、Smali 文件指令提取、Java 代码集合、Java指令集提取 5 个层面进行分析。 The scheme analyzed the APK file by extracting the Android Manifest .xml file in it, the sum of the Smali code from the decompilation of dex file, instructions extracted in Smali files, Java code set, and instructions extracted in Javacode files.
45973 同时通过学习 Voted Perceptron 投票算法，将其应用到检测过程中，采用信任值权重的方法，为每一层赋予一个可信值，并在最后得出结果时将每一层结果结合权重分析，实验分析结果表明该方法具有更好的检测效果。 Through the study of Voted Perceptron voting algorithm, the scheme used trust weight method, by valuating a trust weight in every layer, then combined all the result with weight in every layer as a resule of scheme, the result can be more reasonable and more convincing.
45974 研究了用户认证过程中的键盘击键序列特征提取和分类问题，提出一种基于顽健线性判别分析的击键特征识别方法。 A novel keystroke features recognition method based on stable linear discriminant Analysis (SLDA) was put forward.
45975 首先，最大化击键序列集不同类间的离散度，同时最小化序列集同类之间的离散度，保持击键序列样本的最佳判别特性。 First of all, it maximum the dispersion between different sequences, while minimizing the dispersion between the same sequence set, maintain the best discriminant characteristics of the keystroke sequences.