ID 原文 译文
58028 最后通过仿真验证了算法在标签识别率和公平性方面优于现有方案. Finally，the simulation results show that the algorithm outperforms the existingschemes in tag recognition rate and fairness.
58029 为了提高城市地下车库空间的利用率，针对地下车库轮廓复杂、面积大、障碍物多及需要确保地下结构安全等特点，对地下车库车位排布问题进行排车规则提取，设计了一种基于规则的三阶段车位排布启发式算法. Underground parking lots have general characteristics like complex contours，large in area，various components and requiring safety in structure. To properly deal with this specific problem underground and increase the utilization of urban parking lots，three rules and a three-stage algorithm is devised.
58030 针对基于规则提取后的外圈车位排布问题建立了数学模型，提出用启发式遗传算法求解该问题. To deal with parking spaces allocation problem in marginal area during stage 1，mathematic modelis constructed. In addition，a heuristic genetic algorithm is designed to solve it.
58031 对实际工程图纸的求解表明，该算法有效且能满足设计师要求的精度，并得到车位数最多的车位排布方案; Finally，the accuracyand validity of the algorithm are proved by case studies on real underground parking lots.
58032 通过结果可视化，可帮助设计人员制定优化的设计方案，提高地下车库设计的效率和项目收益. Via visualization of the results，the algorithm acts as auxiliary to underground parking lots designers，which can improve the efficiency of underground parking lots design and raise profit.
58033 针对时变无线信道抽头簇的提取和轨迹追踪提出了一种新方法: A new method for extraction and tracking trajectory of dynamic wireless channel tap clusters isproposed.
58034 首先在时延－幅度维上采用反向传播( BP)神经网络对无线信道冲激响应( CIＲ) 进行去噪，然后利用 k-means 聚类算法对有效抽头信号进行分簇，再用基于密度的空间聚类( DBSCAN) 算法去除各个簇峰值抽头中的异常值，最后采用多项式拟合对去除异常值后的簇峰值抽头进行拟合，得到其时间变化轨迹. First，the channel impulse response ( CIＲ) denoising is achieved by back propagation ( BP)neural network in time delay-amplitude dimension. Then effective taps are clustered by k-means clustering algorithm. Next，density-based spatial clustering of applications with noise ( DBSCAN) algorithm isapplied to remove the abnormal peak taps for every cluster. Finally，the trajectory of cluster peak taps isobtained by polynomial fitting.
58035 经过仿真和实测数据验证，该方法得到的簇峰值时间变化轨迹与根据几何关系得到的结果一致. The simulation result shows that trajectory obtained by proposed method isapproximate to geometric calculation result. Moreover，the analysis result of high speed railway measureddata is consistent with the actual observations.
58036 提出了一种基于加权混合滤波与重心法的近似三角形内点测试( APIT) 改进定位算法( HFG-APIT) . An improved approximate point-in-triangulation test ( APIT) localization algorithm whichbased on weighted hybrid filtering and center of gravity method ( HFG-APIT) was proposed.
58037 利用混合滤波过滤突变信号强度值使数据平滑稳定输出; Hybrid filtering is used to filter abrupt signal strength values to make the data output smoothly and stably.