ID 原文 译文
14235 给出了点云数据降维处理与环境探索控制器融合处理的方法。 The data processing method which fuses the dimension re- duction of point cloud data with the controller of environment exploration is given.
14236 开发了移动机器人主动探索与建图实验系统,结果表明,移动机器人基于该方法的主动探索与建图,能够追踪最具有探索价值的前沿点,提升了探索建图的效率。 An experimental system of the autonomous environment exploration and map building of a mobile robot has been developed, and the experimental results show that, based on the proposed method, the robot can track the most valuable frontier point in the autonomous environment exploration and SLAM (Simultaneous Localization and Mapping), which improves the efficiency of environment exploration and map building.
14237 针对模糊增强不能改善图像的对比度和直方图均衡增强存在过度增强、图像细节信息丢失的缺陷,提出了基于直觉模糊集和直方图均衡的图像增强算法。 In the field of image enhancement, the method of Intuitionistic Fuzzy Sets( IFS) can't improve the contrast of the image, and the method of Histogram Equalization ( HE) may cause over enhancement and loss of detailed information. To solve the problems. an image enhancement algorithm based on IFS and HE is proposed.
14238 由于待增强图像包含大量的不确定性信息,给出了一种新的直觉模糊增强图像的算法,该方法通过合成像素的直觉模糊隶属度和非隶属度的方式来实现,能够显著增强图像的细节信息,但不能改善图像对比度。 The image to be enhanced contains a lot of uncertain information, so a new IFS-based algorithm of image enhancement is proposed. This algorithm is realized by synthesizing the membership and non-membership of pixels in an IFS, which can significantly enhance the detailed information of the image, but cannot improve the contrast of the image.
14239 因此,将直觉模糊增强和直方图均衡进行融合,以直觉模糊增强为主,同时抑制直方图均衡的不足,既增强了图像的细节信息,又改善了图像的对比度。 Therefore, the IFS-based algorithm is combined with HE, in which IFS-based enhancement is given priority and the defects of HE-based enhancement are suppressed. The algorithm can not only enhance the details of the image, but also improve the contrast of the image.
14240 最后,通过典型的图像增强实例验证了算法的有效性和可靠性。 Finally, the effectiveness and reliability of the algorithm are verified by a typical example of image enhancement.
14241 针对具有多源验前信息的小子样装备维修性指标验证问题,当多源验前信息来自不同总体时,提出了一种混合验前分布下的小子样装备维修性验证方法。 The study focuses on the verification of the equipment maintainability indexes in small-sample tests with multi-source pre-test information. For the situation when the pre-test information comes from different sources, an equipment maintainability verification method in small-sample conditions under the mixed pre-test distribution is proposed.
14242 结合Bootstrap法,确定了各验前信息的验前分布,改进了基于质量因子的可信度加权融合方法,定义了均值可信度权重因子和样本量可信度权重因子,权重计算结果更加科学合理,推导给出了混合验前分布下的Bayes序贯概率比方法。 The pre-test distribution of each pre-test information is determined by using Bootstrap method. The weighted credibility fusion method based on the quality factors is improved, and the mean credibility weight factor and the sample-size credibility weight factor are defined. The weight calculation results are more scientific and reasonable. A Bayes sequential probability ratio method under the mixed pre-test distribution is derived.
14243 结合某装甲装备维修性验证试验,对MTTR进行验证,结果表明:所提方法能有效验证装备维修性指标是否符合设计要求。 The MTTR is verified through the maintainability verification test of an armored equipment. The results show that the proposed method can effectively verify whether the indexes of equipment maintainability can meet the design requirements.
14244 针对MIMO雷达稀疏布阵的问题,提出了一种基于蚁狮算法的MIMO雷达阵列方向图优化设计方法。 In order to realize sparse arraying of MIMO radars, this paper presents an optimized design method for MIMO radar array pattern based on Ant Lion Optimizer ( ALO).