ID 原文 译文
24465 仿真结果表明，所提出的混合精度量化算法的系统频谱效率优于传统单精度量化算法，且具有更高的系统能量效率 。 The simulation results show that the spectrum efficiency performance of the proposed mixed-resolution algorithm is better than that of the traditional finite-resolution algorithm, and it has higher EE performance.
24466 同时，当多数据流传输时，所提出混合精度量化结构的系统性能接近全数字结构。 Meanwhile, the system performance of the proposed mixed-resolution quantization structure is close to the full-digital structure when multiple data streams are transmitted.
24467 由于受环境、资源、能耗、异构等因素制约，海上无线技术发展明显滞后于陆地。 Limited by environment, resources, energy consumption, heterogeneity, etc., the development of maritime wireless data network technology is backward.
24468 以低开销、自适应和自主融合为约束，提出一种海上边缘计算云边智能协同服务策略模型（Model of Cloud-Edge Cooperative Service Schemefor Maritime Edge Computing，MCECS-MEC）。 A model of cloud-edge cooperative service scheme for maritime edge computing (MCECS-MEC) is proposed.
24469 基于边缘计算构建海上云边智能协同服务网络框架，抽象海上边缘计算节点行为特征，建立具有抑制联合作弊的节点信任和推荐量化综合评价模型，根据其综合属性评价将准盟员节点融合聚类到不同的协同服务池，实现分级就近服务； Based on edge computing, it constructs an intelligent cloud-edge cooperative service network framework in maritime edge computing. The abstracted behavior characteristics of nodes in maritime edge computing are clustered into different cooperative service pools by restraining the joint cheating trust evaluation and recommendation quantitative comprehensive evaluation models.
24470 基于协同服务请求的优先级和负载均衡理论，设计协同服务池组建规则和段页式自适应轻量级、自适应过热规避盟员发现算法，以状态机方式描述和分析 MCECS-MEC 协同服务状态演化。 Based on the priority evaluation and the theory of load balancing of cooperative service, the rules of building cooperative service pool and the algorithm of segment page adaptive lightweight and heavy load avoidance are designed to discovery cooperative node. The state evolution of MCECS-MEC cooperative service is described and analyzed by state machine.
24471 基于 Router View 公开数据集对 MCECS-MEC 模型性能进行仿真分析，仿真实验表明，MCECS-MEC 相比于 AODV（Ad hoc On-Demand Distance Vector Routing）、SR（Stochastic Routing）算法，减少了 57.7% 和 55.04% 的冗余传输流量，链路重寻率小于 3%，负载率稳定于 65%。 Based on router view open data set, simulation results show that our algorithm reduces 57.7% and 55.04% redundant transmission traffic compared with ad hoc on-demand distance vector routing (AODV) and stochastic routing(SR). The link retransmission rate is less than 3%, and the load rate is stable at 65%.
24472 MCECS-MEC模型能有效降低过载、热区、空洞效应等对网络性能的影响，提高海上边缘计算云边智能协同服务效率和质量。 It can effectively alleviate node overload and hot region, and improve the efficiency and quality of service of cooperative service of maritime edge computing.
24473 多重分形去趋势波动分析(Multi-Fractal Detrended Fluctuation Analysis, MFDFA)处理非平稳时间序列存在趋势项难以准确移除的问题，为此本文引入经验模态分解(Empirical Mode Decomposition, EMD)并通过趋势项自动判定方法提取趋势项，再利用最小二乘(Least Squares, LS)法对趋势项再拟合(EMD-LS)，进而提出新的多重分形分析方法（EMD-LS-MFDFA），并 针 对 具 有 理 论 值 的 二 项 式 多 重 分 形 序 列 (Binomial Multifractal Sequence, BMS)，验 证 了EMD-LS-MFDFA法的有效性和稳定性，然后进行仿真分析。 Multi-fractal detrended fluctuation analysis (MFDFA) deals with the problem that non-stationary time series has trend items that are difficult to accurately remove. For this reason, this paper introduces empirical mode decomposition(EMD) and adopts trend items. The automatic determination method extracts the trend item, and then uses the least squares (LS) method to refit the trend item (EMD-LS), and then proposes a new multi-fractal analysis method (EMD-LS-MFDFA), and the binomial multi-fractal sequence (BMS) of theoretical value verifies the validity and stability of the EMD-LS-MFDFA method, and then conducts simulation analysis.
24474 研究表明：相较于MFDFA方法，EMD-LS-MFDFA移除趋势精度更高，计算的广义Hurst指数和质量指数的均方根误差较小，其中2阶的EMD-LS-MFDFA具有更高的计算精度，是1阶的1。8倍，分析不同参数的BMS序列，其多重标度曲线与理论曲线相吻合，证明了该算法具有较好的稳定性和精准的分析能力。 Research shows that compared with the MFDFA method, EMD-LS-MFDFA has higher precision in removing trend, and the calculated generalized Hurst index and quality index have a smaller root mean square error. The calculation accuracy of the second-order EMD-LS-MFDFA is 1.8 times higher than that of the first order. The multiple scale curve is consistent with the theoretical curve by analysis of the BMS sequence of different parameters, which proves that the algorithm has good stability and accurate analysis ability.