ID 原文 译文
18395 首先，设计了轻量级观测序列分段表示方法，对传感器采集的实体原始观测序列进行轻量级分段压缩表示，以降低实体观测序列的存储开销。 Firstly, in order to reduce the storage overhead of the entity observation sequence, a lightweight method of segmentation representation of the observation sequence is designed to perform a lightweight segmentation compression representation of the original observation sequence of the entity collected by the sensor.
18396 然后，提出了观测序列相似度自适应估计方法，实现对不同观测序列长度的实体相似性的准确估计。 Then, in order to achieve an accurate estimation of the similarity of entities withdifferent observation sequence lengths, an adaptive estimation method for observation sequence similarity isproposed.
18397 最后，设计了高效的相似实体搜索匹配方法，依据所估计的实体相似度进行实体的准确搜索匹配。 Finally, by exploiting the designed efficient similar entity search matching method, the exact searchmatching of the entity is completed according to the estimated entity similarity.
18398 仿真结果表明，所提方法可大幅提高相似实体搜索的效率。 The simulation results showthat the proposed method can greatly improve the efficiency of similar entity search.
18399 针对夜视晕光场景中，高亮度晕光信息导致现有红外与可见光融合图像评价方法失效的问题，该文提出一种自适应分区的融合图像质量评价方法。 To solve the failure of existing evaluation methods of infrared and visible fusion image caused by highbrightness halation information in night vision halation scene, a novel fusion image quality evaluation methodbased on adaptive partition is proposed.
18400 该方法根据可见光图像的晕光程度自动确定自适应系数，并通过迭代计算可见光灰度图像的晕光临界灰度值，将融合图像自动分为多个晕光区和非晕光区； In this method, the adaptive coefficient is automatically determinedaccording to the halation degree of visible image, and then, the fusion image is divided into halo regions andnon-halo region by iterative calculation of the critical halation gray value.
18401 在晕光区由设计的晕光消除度指标评价融合图像的晕光消除效果；在非晕光区从融合图像自身特性、对原始图像信息保留程度以及人眼视觉效果3方面评价融合图像纹理色彩等细节信息的增强效果； In the halo region, the effectivenessof halation elimination is evaluated by halation elimination index designed, while in the non-halo region, theenhancement effect of detailed information such as texture and color is evaluated from three aspects including:characteristics of fusion image itself, retention degree of original image information and human visual effect.
18402 通过对4种不同抗晕光算法的融合图像进行评价分析，甄选出9种客观评价指标构成夜视抗晕光融合图像质量评价体系。 Based on evaluation and analysis of fusion images obtained by 4 different anti-halation algorithms, nineobjective indexes are selected to construct a quality evaluation system of night vision anti-halation fused image.
18403 不同夜视晕光场景下的实验结果表明，所提方法能够全面、合理地评价红外与可见光融合的抗晕光图像质量，解决了融合图像晕光消除越彻底客观评价结果反而越差的问题，也适于评判不同抗晕光融合算法的优劣。 Experimental results in different night vision halation scenes show that the proposed method could evaluate anti-halation image quality of infrared and visible fusion comprehensively and reasonably, and could solve the problem that the more thorough halation elimination of fusion image, the worse objective evaluation results.This method could also be suitable for evaluating merits and demerits of different anti-halation fusion algorithms.
18404 该文基于Whitened Swap−or−Not(WSN)的结构特点，分析了Canteaut 等人提出的Bent whItened SwapOr Not –like (BISON-like) 算法的最大期望差分概率值(MEDP)及其(使用平衡函数时)抵御线性密码分析的能力； Based on the characteristics of Whitened Swap−or−Not (WSN) construction, the maximum expecteddifferential probability (MEDP) of Bent whItened Swap Or Not -like (BISON-like) algorithm proposed byCanteaut et al. is analyzed in this paper. In particular, the ability of BISON-like algorithm with balancednonlinear components against linear cryptanalysis is also investigated.