ID 原文 译文
22225 仿真结果表明，所提算法能够快速收敛于最优解。 Simulation results demonstrate that the proposed algorithm converges to the optimal solution quickly.
22226 与能量合作方案相比，该文所采用方案能量效率显著提高，同时能更好地保证主用户服务质量要求。 Compared with the energy-cooperation strategy, the proposed strategy achieves a higher EE and protects the QoS of primary user better.
22227 依据水下测控设备组网系统的工作特点，为了有效挖掘现有测控设备的使用效能，构建高精度的综合性水下测控网络，该文提出基于 Chan 算法的水下测控设备组网集中式数据融合定位算法。 In order to exploit the development potential of current measurement and control equipment and to build an omnibus underwater measurement and control network with higher precision, according to the working characteristics of the system itself, an underwater measurement and control network centralized data fusion localization algorithm based on Chan-algorithm method is proposed.
22228 该算法首先利用基于波达时间的加权最小二乘算法粗测目标位置，然后依据该目标位置和测量时延信息的关系，构造新的误差矢量，利用该误差矢量再次加权最小二乘估计解算目标位置。 It is an algorithm that coarsely calculates the target position according to the time of arrival by using the Weighted Least Squares (WLS) estimation method at first; secondly, it constructs new error vectors on the basis of the relationship between the position and the time delay information; last, the target position is resolved from the vectors by using WLS method again.
22229 研究结果表明，该算法可实现多套水下测控设备的数据融合，可有效提高全域范围的定位精度，且精度高于纯基于波达时间的融合定位算法。 The result of research demonstrates that the algorithm realizes the data fusion of multiple sets of underwater measurement and control equipment, which could improve the precision of localization globally. And the precision of the proposed method is much better than the data fusion localization algorithm purely based on the time of arrival.
22230 为了改善网络视频流的细粒度分类效果，该文分析视频流传输过程中的特征变化与流分类之间的关系。 To obtain better results for fine-grained video traffic classification, this paper analyzes the relationship between the feature variations during transmission and video traffic classification.
22231 根据不同类型的视频流具有不同的下行传输速率变化模式，提出一种新的基于下行速率传输的视频流分类特征M值概率分布，并使用支持向量机(SVM)实现网络视频流的分类。 According to the nature that different types of video services contain different downlink transmission rate variation patterns, a new video flow feature M value probability distribution, based on downlink byte rate variation is proposed, and video classification is realized by Support Vector Machine (SVM).
22232 实验结果表明，M 值概率分布相比较于已有的常见流特征，可以更好地实现 6 种典型的网络视频流分类。 The experimental results show that the probability distribution of M value is a better feature for classification of six kinds of common network video applications than other commonly used flow features.
22233 该文提出一种新的 Wi-Fi/微机电系统(MEMS)融合室内运动地图构建与定位方法。 This papers propose a novel integrated Wi-Fi and Micro Electronic Mechanical Systems (MEMS) indoor mobility map construction and localization approach.
22234 首先利用行人航迹推算(PDR)、最小描述长度(MDL)原则和基于密度的空间聚类算法(DBSCAN)对众包运动轨迹进行预处理，提出基于轨迹主路径的运动地图构建方法。 First of all, a method is proposed for constructing mobility map based on trajectory main path by applying the Pedestrian Dead Reckoning (PDR), Minimum Description Length (MDL), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms to the processing process of crowdsourcing trajectories.