Congestion control for ATM multiplexers using neural networks: multiple sources/single buffer scenario     

杜树新  袁石勇 《浙江大学学报(A卷英文版)》2004,5(9):1124-1129

A new neural network based method for solving the problem of congestion control arising at the user network interface (UNI) of ATM networks is proposed in this paper. Unlike the previous methods where the coding rate for all traffic sources as controller output signals is tuned in a body, the proposed method adjusts the coding rate for only a part of the traffic sources while the remainder sources send the cells in the previous coding rate in case of occurrence of congestion. The controller output signals include the source coding rate and the percentage of the sources that send cells at the corresponding coding rate. The control methods not only minimize the cell loss rate but also guarantee the quality of information (such as voice sources) fed into the multiplexer buffer. Simulations with 150 ADPCM voice sources fed into the multiplexer buffer showed that the proposed methods have advantage over the previous methods in the aspect of the performance indices such as cell loss rate (CLR) and voice quality.  相似文献   

分层次车牌定位方法   总被引：4，自引：1，他引：4  

吴进军  杜树新 《科技通报》2005,21(5):606-611

车牌定位是车牌识别中的重要步骤,针对汽车图像的复杂背景和不同环境光条件,提出了一种分层次的车牌定位方法。该方法将图像进行分层次分割,不断减少分析的范围。它先定位出车牌候选区域的上下和左右边界,得到多个车牌候选区域,再从中挑选出车牌区域,实现了车牌的准确定位。实验结果表明,该方法定位准确率高,运行速度快,具有很强的鲁棒性。  相似文献   

机器人路径规划及相关算法研究   总被引：18，自引：0，他引：18  

庄慧忠  杜树新  吴铁军 《科技通报》2004,20(3):210-215

路径规划是机器人学中的一个重要课题，目前的研究主要分为全局规划方法和局部规划方法两大类，全局规划方法主要是以基于构形空间的几何法和拓扑法为主；而局部规划方法主要是以基于直角坐标空间的人工势场法为主，在对一些较有代表性的研究思想及其相关算法分析的基础上，本文提出了机器人路径规划今后的研究重点。  相似文献