ID 原文 译文
18245 为了实现对应用软件剽窃、重打包等安全风险的测评，该文提出一种基于程序执行时间量化分析的软件水印方法(SW_PET)。 In this paper, a novel Software Watermarking method based on ProgramExecution Time (SW_PET) is proposed.
18246 通过生成多种相互抵消功能的操作组，实现对水印信息的时间化编码，并植入应用软件中； By generating a variety of effect-canceling operations, the watermarkinformation can be encoded into the form of program execution time, and can be embedded into Android APPs.
18247 在检测过程中，需要提取相应的水印信息，对照之前的时间编码对应的原始水印，比较不同操作的执行时间，判断水印相似度，进而判别原始水印的存在性，完成应用软件合法性的判断。 In the detection process, the watermark information is extracted and compared with the original watermark tocheck whether the APP is repackaged.
18248 该方法也可以与其它类型的水印信息相结合，增强水印的鲁棒性。 This method can be combined with other types of watermarks (e.g.,picture-based watermarks) in order to enhance the robustness.
18249 最后，通过搭建仿真模拟器，实现对不同应用软件水印信息的比较和判断，验证该方法的有效性。 Finally, the effectiveness of the proposedapproach is verified, and the overhead introduced by the watermark is measured, which is demonstrated to beminimal.
18250 被动声呐信号处理中，致力于实现连续且稳定的目标方位跟踪。 In the passive tracking using acoustic arrays, continuous and stable tracking of targets is important.
18251 在复杂的水下环境中，由于干扰和噪声的存在，以及阵列孔径的限制，方位检测结果中不可避免地存在很多轨迹中断、野值、干扰与目标间的方位交叉。 In complex underwater environments, there are inevitably many trajectory interruptions, outliers, interference and target azimuth crossings in the bearing detection results, due to interference, noise, and arrays aperture limitations.
18252 该文提出了一种基于水下无人航行器的多目标被动跟踪算法， In this paper, a multi-target passive tracking algorithm based on unmanned underwater vehicle is proposed.
18253 使用基于航行器运动信息的粒子采样预测方法进行轨迹中断预测补齐， The particle sampling prediction method based on the motion information of the vehicle is used toperform the interruption prediction.
18254 使用基于航行器运动信息的观测门限设置方法自适应设置跟踪门限， The observation threshold setting method based on the motion informationof the vehicle is used to adaptively set the tracking threshold.