ID 原文 译文
45416 现有基于兴趣点（POI）路径规划的研究大部分只考虑 POI 的静态属性，而热门景点拥堵以及用户产生的不满意情绪会造成旅游质量大大下降。 Most of the existing research for point of interest route planning only consider the static properties of POI, how-ever, the congestion of the hot spots and users’ discontent may greatly reduce the travel quality.
45417 为了提升用户旅游的满意度，重点考虑了 POI 的动态属性，提出基于用户需求的景点路线利益规划算法。 In order to increase the tourists' satisfaction, the dynamic attributes of POI was considered and a route planning algorithm based on user’s requests was proposed.
45418 首先，设计了 GM(1,1)马尔可夫景点人数预测算法， Firstly, Markov-GM(1,1) forecasting algorithm was designed to predict the number of people in each scenic spot.
45419 通过引入预测残差以及概率转移矩阵，使平均预测偏差比原 GM(1,1)算法降低 12.2%； Markov-GM(1,1) could make the average predication error 12.2% lower than the GM(1,1) algorithm by introducing the predication residual.
45420 其次，通过设计前向细化（FR）算法，在满足用户解决需求的前提下减少用户不必要的访问地点和时间， And then, the forward refinement (FR) algorithm was designed which could avoid visiting the unnecessary place and satisfy user’s requests as well.
45421 在相同的需求数下，前向细化算法的平均解决需求时间比TMT 算法降低 9.4%； The average solving time of forward refinement algorithm was 9.4% lower than TMT algorithm under the same amount of user’s requests.
45422 最后，根据景点流行度、时间 KL 散度、地点访问次序以及路程时间等因素，提出了景点路线利益规划算法，在相同时间限制下景点路线利益算法平均拓展 Rank 1-5 的景点数量比 Time_Based 算法提高34.8%，比 Rand_GA 算法提高 47.3%。 Finally, based on the factors such as spot popularity, KL divergence of time, visiting order and distance et al, the scenic route profit planning algorithm which could make the number of Rank 1-5 spots 34.8% higher than Time_Based algorithm and 47.3% higher than Rand_GA algorithm.
45423 κ μ − 阴影衰落信道下系统性能预测是无线通信中一个具有挑战性的问题，严重影响着传输机制设计。 The performance prediction of wireless system over κ μ − shadowed fading channels was a challenging problem of wireless communications, which affects transmission scheme design seriously.
45424 针对此问题，提出一种采用非数据辅助的误差矢量幅度（NDA-EVM, nondata-aided error vector magnitude）对 κ μ − 阴影衰落信道进行性能分析的理论方法。 To solve this problem, a novel method of quantifying the κ μ − shadowed fading channels performance based on nondata-aided error vector magnitude (NDA-EVM)was proposed.
45425 选取 NDA-EVM 作为反映信道变化的评估参量， NDA-EVM was considered as a new metric to evaluate the change of the channels.