期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
针对耳机定制设计的人耳甲腔曲面形态层级聚类算法研究与应用 被引量:5
1
作者 朱兆华 吉晓民 +1 位作者 高瞩 胡钢 《机械科学与技术》 CSCD 北大核心 2019年第4期571-581,共11页
为实现耳机大规模定制设计且满足用户使用舒适性需求的目标,提出人耳甲腔网格曲面自动重构的方法。将310个样本的耳甲腔网格曲面均重构为由795个型值点组成的NURBS曲面;进一步提出耳甲腔曲面形态层级聚类改进算法,并通过与传统分类算法... 为实现耳机大规模定制设计且满足用户使用舒适性需求的目标,提出人耳甲腔网格曲面自动重构的方法。将310个样本的耳甲腔网格曲面均重构为由795个型值点组成的NURBS曲面;进一步提出耳甲腔曲面形态层级聚类改进算法,并通过与传统分类算法结果的对比,论证改进算法的优势;其次依据分类的结果将人耳甲腔曲面形态分为29组别,从而构建针对耳机设计的耳甲腔共性特征曲面形态数据库,并通过曲面误差分析论证了数据库的可靠性;最终对耳机进行定制设计,提出基于有限元仿真分析的耳机佩戴舒适度的客观评价方法。 展开更多
关键词 耳甲腔 曲面重构 层级聚类算法 有限元分析 舒适度评价
下载PDF
Automatically Mining Application Signatures for Lightweight Deep Packet Inspection
2
作者 鲁刚 张宏莉 +3 位作者 张宇 Mahmoud T. Qassrawi 余翔湛 彭立志 《China Communications》 SCIE CSCD 2013年第6期86-99,共14页
Automatic signature generation approaches have been widely applied in recent traffic classification.However,they are not suitable for LightWeight Deep Packet Inspection(LW_DPI) since their generated signatures are mat... Automatic signature generation approaches have been widely applied in recent traffic classification.However,they are not suitable for LightWeight Deep Packet Inspection(LW_DPI) since their generated signatures are matched through a search of the entire application data.On the basis of LW_DPI schemes,we present two Hierarchical Clustering(HC) algorithms:HC_TCP and HC_UDP,which can generate byte signatures from TCP and UDP packet payloads respectively.In particular,HC_TCP and HC_ UDP can extract the positions of byte signatures in packet payloads.Further,in order to deal with the case in which byte signatures cannot be derived,we develop an algorithm for generating bit signatures.Compared with the LASER algorithm and Suffix Tree(ST)-based algorithm,the proposed algorithms are better in terms of both classification accuracy and speed.Moreover,the experimental results indicate that,as long as the application-protocol header exists,it is possible to automatically derive reliable and accurate signatures combined with their positions in packet payloads. 展开更多
关键词 traffic classification automatic signature generation association mining hierarchical clustering LW_ DPI
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部