ID 原文 译文
18075 针对如何基于有限的系统剩余资源进行任务优化卸载以增加移动终端的数字货币收益问题，该文在融合区块链与雾计算系统中提出一种基于节点剩余资源、网络时延的任务卸载方案。 To solve the problem of increasing the digital currency of mobile terminals based on limited residual resources of the system, a task offloading scheme is proposed based on node residual resources and network delay in the joint blockchain and fog computing system.
18076 为了实现任务的优化卸载，首先基于任务量对移动终端的预期收益进行了分析，其次基于网络节点剩余计算资源、存储资源、功率资源、网络时延联合分析了移动终端的支出。 In order to offload the task in an optimal way, theexpected revenue of mobile terminals is firstly analyzed based on the amount of tasks. Secondly, based on theremaining computing resources, storage resources, power resources and network delays, the expenditure ofmobile terminal is analyzed.
18077 此后以最大化移动终端的数字货币收益为优化目标建立了数学优化模型，并利用模拟退火(SA)算法对优化模型进行求解。 Then, a mathematical optimization model is established to maximize the digitalcurrency income of the mobile terminal. The Simulated Annealing (SA) algorithm is employed to deal with thesuboptimal model, respectively.
18078 仿真结果证明上述方案的有效性。 Simulation results demonstrate the effectiveness of the proposed scheme.
18079 为了解决Alpha稳定分布噪声环境下运动舰船目标的长度估计问题，该文借鉴非线性变换抑制脉冲噪声以及多普勒目标运动特性估计思想，提出基于广义时频分析(G-TFA)和最小二乘估计的运动目标长度估计方法。 In order to estimate the length of moving ship targets in Alpha stable distribution noise, a movingtarget length estimation method based on Generalized Time-Frequency Analysis (G-TFA) and least squaresestimation is proposed, which utilizes nonlinear transform to suppress impulsive noise and Doppler effect toestimate target motion characteristics.
18080 该方法首先利用G-TFA获取Alpha稳定分布噪声环境下运动目标的多普勒频率，然后利用最小二乘方法估计出目标航速和不同位置的横正时刻，最后利用上述估计结果计算目标长度。 The method uses G-TFA to obtain the Doppler frequency of movingtargets in a stable distributed noise environment. Then, the least squares method is used to estimate the targetspeed and the closest point of approach time of different positions. Finally, the target length is calculated usingthe above estimation results.
18081 以广义Winger-Ville分布(G-WVD)为例，从理论上推导了G-TFA在Alpha稳定分布噪声环境下具有提取目标多普勒特征的能力，并通过仿真实验验证了该算法在中低混合信噪比下的稳健性。 Taking Generalized Winger-Ville Distribution (G-WVD) as an example, the ability of G-TFA to extract Doppler features in Alpha stable distributed noise is theoretically derived. The robustness of the proposed method under low-to-medium mixed signal-to-noise ratio is verified by simulation experiments.
18082 与现有算法相比，该文所提算法不需要估计噪声特征指数，算法性能优于基于传统时频分析的估计方法。 Compared with the existing methods, the proposed method does not need to estimate the noise characteristic index, and the performance is better than the methods based on the traditional time-frequency analysis.
18083 在移动无线传感网络(MWSN)的部署问题中最关键的是如何提供最大的区域覆盖范围。 The most critical issue in the deployment of Mobile Wireless Sensor Networks (MWSN) is how to providemaximum regional coverage.
18084 针对现有的覆盖控制算法存在覆盖率不理想、部署效率低、能耗过高的问题，该文提出了一种高效部署策略。 To solve the problem that the existing coverage control algorithm has unsatisfactorycoverage, low deployment efficiency and high energy consumption, an efficient deployment strategy isproposed.