LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406
Citation:
Sun Dongmei, Qiu Zhengding, He Bing . Atuomated identity verification based on feature points matching of hand shapes[J]. Journal of Electronics & Information Technology, 2003, 25(3): 412-418.
LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406
Citation:
Sun Dongmei, Qiu Zhengding, He Bing . Atuomated identity verification based on feature points matching of hand shapes[J]. Journal of Electronics & Information Technology, 2003, 25(3): 412-418.
This paper presents a method for identity verification based on matching of hand shapes. The method first represents the shapes of hands by sets of ordered points. Next, the two sets of points are matched using point matching algorithm based on deterministic annealing and get the two matching parameters: mean matching error and matching rate. Finally, the classifier is designed for classification/verification. Considering the research of hand shape verification usually works in practical cases of limited or small samples, Support Vector Machine (SVM) is developed for verification. SVM is a new technique in the field of Statistical Learning Theory (SLT). The preliminary results show that the method can obtain higher levels of accuracy and robustness than the existing systems that based on hand geometry measurements.
针对生存性EONs中时变业务的路由和频谱分配问题,本文提出一种基于频谱窗滑动的时变业务共享保护(Time-varying Traffic Sharing Protection based on Spectrum Window Sliding, TTSP-SWS)算法。TTSP-SWS算法的贡献在于:(1)设计考虑可用频谱块承载权重和保护频谱块共享度的保护路径代价函数,用于选择时变业务的保护路径;(2)设计基于频谱窗滑动的保护路径的频谱分配策略为时变业务分配所需频谱块;(3)根据时变业务带宽变化情况,设计基于频谱窗滑动的频谱扩展/压缩的调整策略。
2.
问题描述
EONs拓扑抽象为G(V, E, F),其中,V表示EONs节点集合,E表示光纤链路集合,F表示每条链路提供的频隙资源集合。时变业务表示为r(s, d, B, q),其中,s,d分别表示时变业务的源、目的节点,B表示时变业务所需带宽,q表示时变业务需要的保护等级。
为了验证本文所提TTSP-SWS算法的性能,本文分别对DSPRA-DPP[16], DSPRA-SBPP[16]和FMDA-RSA[17]生存性策略在图1所示的国家科学基金网(National Science Foundation Network, NSFNET)和美国网络(United States of America Network, USNET)拓扑[17]中的业务阻塞率、保护冗余度和频谱使用率性能进行仿真,其中,NSFNET拓扑具有14个节点,21条链路,USNET拓扑包含24个节点,43条链路[17],设K=3,业务间保护频隙GB=1 fs,图1的链路旁边数字表示节点之间的物理长度,单位km。其他默认仿真主要参数如表1。
LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406
LIU Huanlin, ZHANG Jianjian, CHEN Yong, WANG Zhanpeng, CHEN Haonan, QIU Yan, HUO Xingji. A Time-varying Traffic Sharing Protection Based on Spectrum Window Sliding in Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3694-3701. doi: 10.11999/JEIT221406