long-range traffic
英 [lɒŋ reɪndʒ ˈtræfɪk]
美 [lɔːŋ reɪndʒ ˈtræfɪk]
【计】长距离通信
双语例句
- Many measurement on traffic have shown that there exist intrincately self-similar or long-range dependence ( LRD) characteristics in the traffic.
大量业务的测量表明：在这些业务中普遍存在着自相似性（即长相关性）。 - Firstly, it reviews long-range dependence ( LRD), self-similarity and scaling in network traffic traces.
回顾了在网络业务流轨迹中的长相关（LRD）、自相似和尺度不变性现象； - Many papers proposed the different traffic models, which included Markov Models, Regression Models, Long-Range Dependent Traffic Models and(σ,ρ) Leaky-Bucket Model.
许多文献提出一些不同的流量模型，其中包括；马尔可夫模型、回归模型、长程依赖流量模型和（σ，ρ）漏桶模型。 - In fact, the traffic models which have long-range dependence are more suitable for describing the really traffic process, such as the self-similar or fractal model.
实际上，网络业务采用自相似或分形模型更适合于描述网络业务的真实情况。 - The Long-Range Prediction of IP Traffic Based on Genetic Programming
基于遗传程序设计的IP业务流量长期预测 - Because the proposed model uses different models in scaling space and wavelet, it can capture the probability distribution and the long-range dependence of the VBR video traffic very well.
由于在尺度空间和小波空间针对各自的特点作了不同的处理，本文模型不但能较好拟合复杂业务流在各个时间尺度的概率分布特性，也能拟合其长时相关的特性。 - To improve the automation, intelligence and precision of IP network traffic prediction, this paper proposes a genetic programming ( GP)-based modeling algorithm to predict the long-range prediction of IP network traffic.
针对流量行为分析对自动化、智能化和预测精度的进一步需求和存在的不足，提出了基于遗传程序设计（GP）的IP业务流量长期预测算法。 - However, in recent years, a series of test result show that network traffic flow is self-similar and long-range dependent ( LRD), which break old basic suppose that network traffic flow is short-range dependent. Then, the conventional method has not been applied to these traffics.
然而，近年来一系列的测量结果表明，网络业务流量显示自相似、长相关性，打破了原有网络流量是短相关（SRD）的基础性假设，传统的方法已不适用。 - With the development of the intelligent information technology, identity recognition is highly demanded in the fields of national defense, security monitoring, long-range education and traffic control system.
随着智能化信息技术的发展，在国防建设、安防监控、远程教育、交通管制等各方面都提出对身份识别的要求。