ID 原文 译文
6214 最后利用两帧图像间的差异性,自适应调整学习率,进行位置滤波器的更新。 The use of the differences between the two frames, adaptive vector adjustment, updating location filter.
6215 实验结果表明,改进算法相较于传统的核相关滤波跟踪算法,在跟踪成功率和跟踪精度上分别提高了25%和13%。 The experimental results show that the improved algorithm is compared with the traditional nuclear related filter tracking algorithm, in tracking the success rate and tracking precision improved by 25% and 13% respectively.
6216 当目标尺度变化较大时,改进算法仍能稳定跟踪。 When the target dimension change is bigger, improved algorithm can still stable tracking.
6217 针对实际应用中广泛存在的源-目节点不等的无线传感网,提出一种基于包聚合的选择协作方法,以提升传输可靠性。 For widely exist in practical applications, the source - mesh nodes of wireless sensor network, put forward a kind of cooperation method, based on the packet aggregation choice to enhance the transmission reliability.
6218 首先,通过建立源-目节点间的关联矩阵将多源多目标传感网分解为多个多源单目标传感网; First of all, through the establishment of the source - correlation matrix between the mesh nodes to multi-source multi-objective sensor network is decomposed into several multi-source single target sensor network;
6219 其次,将包聚合策略引入协作传输中,对多源单目标网络实施基于包聚合的选择协作通信; Secondly, introduce the packet aggregation strategy cooperative transmission, for multi-source single objective network based on packet aggregation choose collaborative communication;
6220 再次,考虑传输顺序对各源节点的影响,将3种调度方法引入选择协作方法中; Again, consider the effect of transport order for each source node, introducing three scheduling methods choose collaborative approach;
6221 最后,在保证系统传输可靠性的前提下,为方便系统的多目标优化,提出了3种中继选择策略。 Finally, under the premise that ensure the reliability of the transmission system, for the convenience of multi-objective optimization of the system, and puts forward three kinds of relay selection strategy.
6222 仿真结果表明,所提选择协作方法不仅能提高系统传输可靠性且能满足不同的网络需求。 The simulation results show that the proposed choose cooperation method can not only improve the transmission reliability and can meet the demand of different networks.
6223 针对已有方法在无人机编队队形控制方面的不足,结合无人机系统有限范围感知的特点提出一种基于规则的队形控制方法。 In view of the existing methods in the formation control of unmanned aerial vehicle (uav) formation, combining the characteristics of the uav system limited perception a formation control method based on rules is proposed.