ID 原文 译文
48156 改进的算法计算出路径的实际能耗,用跳数作为度量实现网络实时性的控制,选择较低实际能耗、较高节点剩余能量和具有实时性的路径作为最优路径。 Improved algorithm to calculate the actual energy consumption of the path, USES hop count as a measure to realize real-time control network, select a lower actual energy consumption, high residual energy node and has a real time path as the optimal path.
48157 研究表明,该协议在选择路径时充分考虑到节点剩余能量,有助于均衡消耗整个网络能量,具有实时性,可以降低数据传输延时,提高传输效率。 Research shows that the protocol when choosing the path to fully consider the node residual energy, help to balance the energy consumption of the whole network, with real-time, can reduce the data transmission delay, improve the transmission efficiency.
48158 自适应新生目标强度(probability hypothesis density,PHD)滤波是一种新颖的量测驱动的多目标跟踪算法。 Adaptive new target strength (aim-listed probability content, density, PHD) filter is a novel measurement of multiple target tracking algorithm.
48159 然而,该算法存在归一化失衡问题,且在航迹生成方面存在一定的滞后现象。 However, the algorithm is normalized imbalances, and has certain hysteresis in track is generated.
48160 针对以上问题,提出一种改进算法。 To solve above problems, an improved algorithm is put forward.
48161 首先,在分析归一化失衡问题的基础上,提出一种归一化因子修正方法,有效解决该问题。 First of all, based on the analysis of the normalized imbalances, a normalization factor correction method, solve the problem effectively.
48162 其次,在高斯混合框架下对算法进行实现,并引入一种新的航迹回溯机制,通过对每个高斯分量进行标记,然后对存在概率超过确认门限的分量进行回溯,从而得到每个目标的完整航迹。 Secondly, the algorithm in the framework of the gaussian mixture, and introduces a new kind of track is back in the mechanism, through the study of the tag of each gaussian component, then the existence probability over confirm the threshold of the component to carry on the back, to get the full track each goal.
48163 实验结果表明,改进算法在新生目标搜索和多目标航迹生成方面均优于传统算法,具有良好的工程应用前景。 The experimental results show that the improved algorithm to search the new target and multiple target track generation are better than the traditional algorithm, has a good prospect of engineering application.
48164 屏蔽数据是指引起系统失效的真实原因不得而知,即失效原因可能是系统组件的某个子集。 Block data is guidance system were the exact causes of the failure is unknown, the failure reason may be a subset of the system components.
48165 一般地,屏蔽数据下非齐次泊松过程(non-homogeneous Poisson process,NHPP)类软件可靠性叠加模型中参数的极大似然估计比较复杂,因为叠加模型不能分解成几个简单的NHPP模型。 Generally, masked data under nonhomogeneous Poisson process (non - homogeneous Poisson process, NHPP) software reliability parameters of superposition model of maximum likelihood estimation is more complex, because superposition model is decomposed into several simple NHPP model.