ID 原文 译文
51237 通过自适应改变延时阀值因子实现多业务的差异化调度， through the adaptive change of time-delay valve value factor to realize the business differentiation scheduling,
51238 从而优化AOS虚拟信道服务质量及调度性能。 thus optimizing the AOS service quality and virtual channel scheduling performance.
51239 采用多信源重尾分布的ON/OFF流量分布模型进行仿真验证，实验结果表明，针对自相似业务流，SDAAP算法在溢出率、平均延迟等方面优于AOS固定阀值和等时调度算法。 Multi source of heavy-tailed ON/OFF traffic distribution model simulation, the experimental results show that for the self-similar traffic stream SDAAP algorithm in such aspects as overflow ratio, average delay is superior to the AOS fixed threshold and scheduling algorithm etc.
51240 针对现有扩展卡尔曼滤波算法在协同定位应用计算复杂的问题，提出一种基于联合分布状态的信息滤波算法，并将其运用在多机器人协同定位中。 In view of the existing extended kalman filtering algorithm in application co-location computing complex problems, put forward a kind of information filtering algorithm based on joint distribution state, and its use in multi-robot cooperative localization.
51241 从3个方面解决计算复杂的问题: Solve the problem of calculating complex from three aspects:
51242 第一，借鉴机器人同步构图与定位，利用联合分布状态将关键历史状态保留在滤波中，避免时间更新的复杂计算; first, draw lessons from robot synchronization composition and positioning, using the joint distribution status, keep the key historical status in filtering, avoid complex calculation time update;
51243 第二，利用滤波信息参数的稀疏性，减小滤波所涉及的计算复杂度; Second, make use of information filtering parameter is sparse, decreasing filtering computing complexity involved;
51244 第三，根据Cholesky矩阵分解的特殊性质， Third, based on the special properties of the matrix Cholesky decomposition,
51245 进一步减少计算复杂度， further reduce the computational complexity,
51246 节省存储空间， saving storage space,