ID 原文 译文
57568 在通用可组合的框架下，验证了所提方案的安全性. Moreover，under the universal composable framework，the security is verified.
57569 在满足节点间端到端时延、可靠性服务要求的基础上，为了解决现有多路径路由协议能耗较高的问题，提出一种面向边缘计算节点能量优化的多服务质量( QoS) 约束路由算法( MQEN) . Based on satisfying the requirements of end-to-end delay and reliable service among nodes，to solve the problem of high energy consumption of existing multi-path routing protocols，a quality of multi- service( QoS) constrained route algorithm for edge computing and node energy optimization( MQEN) was proposed.
57570 考虑端到端延迟、可靠性、能量消耗的 QoS 约束条件，采用边缘计算、机器学习相关技术，构建多约束最优路径传感器网络模型，引入能量感知节点唤醒策略、学习自动机奖惩机制. The QoS constraints of end-to-end delay，reliability，and energy expenditure were considered. The related technologies of edge computing and machine learning were utilized to create a sensor network model of multi-constrained majorization path，introducing a wake-up strategy of energy-aware node as well as reward and punishment mechanism based on learning automaton.
57571 该算法结合边缘计算，预处理节点的原始数据，加快有效数据的传输、处理. This algorithm combined edge com- puting to preprocess the original data of the node，speeding up effective data transmission and treatment.
57572 采用自动机与环境交互的方式加快算法收敛. The automata-environment interaction approach was adopted to accelerate algorithm convergence.
57573 使用控制节点休眠激活状态的方法优化网络能量消耗，延长网络生命周期. The technique of sleep activation of control node was employed to optimize network power consumption and ex- tend the network life cycle.
57574 实验结果证明，MQEN 算法可降低网络能量消耗，并且能满足多 QoS 约束对端到端延迟、可靠性服务的要求. Experiments indicate that the MQEN algorithm reduces network power ex- penditure and corresponds to the demands of multiple QoS constraints for the end-to-end delay and credi- ble services.
57575 为了对长周期定点轨迹数据进行行程识别，提出了一种基于动态阈值的定点轨迹数据行程识别方法. To satisfy the requirements of long-periodic fixed-point trajectory travel recognition，a dynamic threshold travel recognition method for fixed point trajectory data is proposed.
57576 首先，采用聚类方法确定与阈值相关的时空多粒度参数; At first，use hierarchical clustering to determine the spatial-temporal multiple granularity parameters which relate to the threshold.
57577 其次，根据参数对历史记录进行统计，计算参数对应的阈值; Then count historical records according to parameters to calculate the threshold corresponding to each pa- rameter.