Network Tomography

We call current network tomography as unconstraint network tomography for its not adding any constraint condition and all of them nearly are based on some likelihood algorithm .

现有的网络层析成像方法在估计模型上不加入任何的约束信息，我们称为非约束网络层析成像。

Network tomography can estimate the internal state of the network parameters by methods of statistical inference based on the collection of end-to-end related information , without the collaboration of the internal nodes .

网络层析成像技术不需要中间节点的协作，通过网络边缘节点收集网络中端到端的相关数据，采用统计推断等方法估计网络内部的状态参数。

Research of Network Tomography Inference Analysis Theory and Method

网络断层扫描中推断分析理论与方法研究

Research and Development of Network Tomography

网络透视的研究和发展

Research and improvement on delay inference algorithm in network tomography

网络透视中延迟推理算法的研究和改进

Loss Performance Inference Algorithm Based on Network Tomography

基于网络层析的丢包率推断算法研究

Application of regional seismic network tomography to the determination of potential hypocenter

区域台网地震资料的层析研究在潜在震源区判定中的应用

A Survey on Network Tomography

网络断层扫描技术综述

Based on end-to-end measurement , called as network tomography problem , was prompted by several international organizations .

基于端到端网络测量方法是由国际上几个组织提出的[1]，又称之为网络断层分析。

In this paper , a new method based on network tomography and Expectation-Maximization algorithm was proposed for congestion link detection .

本文根据网络透视技术思想，提出一种基于EM算法的拥塞检测方法，从一个新的角度检测链路拥塞的发生。

A new router-aided multicast network tomography method is proposed to estimate the spatial-temporal distribution of network performance .

提出一种新型路由器辅助的多播网络层析方法并用其估计网络性能的时空分布。

A promising technique is network tomography , which infers the inner network parameters by end-to - end measurements .

网络断层推测（NetworkTomography），是一个新兴的领域，它利用端-端的性能测量结果，推测网络内部链路／节点的性能参数，如链路的时延、丢包率等。

Network tomography is a new type of network performance measurement technique , which overcomes some shortcomings of the traditional measurement methods and deduces network internal link performance parameters only through the edge measurement .

网络断层扫描技术是一种新型网络性能测量技术，它克服了传统测量方法的一些缺点，只需通过边缘测量就可推断出网络内部链路的性能参数。

The network tomography which introduces computer tomography in medicine to the network measurement uses end-to-end measurement at the network boundary to inference the internal performance of the network by analyzing the measurement information .

网络层析成像技术是将医学上的计算机断层成像思想引入到网络测量中，在网络边界上进行端到端的测量，根据网络边界的测量信息来分析和推断网络的内部性能。

In this paper , we introduce a new constraint Network Tomography to solve this problem , which adds some constraint information collecting with the help of some partial internal nodes to the model .

本文提出的约束网络层析成像技术利用部分网络节点的协作性，收集链路的网络性能约束信息，建立约束最优化估计模型，很好地提高了非约束网络层析成像估计算法的稳定性和求解精度。

Application of neural network in seismic tomography

神经网络在地震层析成像中的应用

Application of Neural Fuzzy Network in Capacitance Tomography

模糊神经网络在电容成象中的应用

Research and application of network attributes estimation on tomography technology

层析成像技术在网络属性估算中的应用研究

Network topology inference : tomography method based on traceroute

网络拓扑识别：基于traceroute的层析成像方法拓扑描绘字，拓扑描述符

Up to now , the research of wireless sensor network measurement based on network tomography is still in the early stage .

目前基于网络层析成像技术的传感器网络拓扑推断方法的研究还处于起步阶段。

In this paper , a new approach for large-scale network active forewarning is proposed based on network tomography , it can do the real-time monitor and make active forewarning for networks out of control .

本文基于网络透视技术，提出一种新的大规模网络主动预警方法，可以对无控制权的网络进行实时监控和主动预警。

Network Identification , one of the studies of the network tomography , is the proposition of the network link-level performance inference .

网络拓扑推测是网络断层扫描研究内容之一，是推测网络内部链路性能的前提条件。

Finally , a network measurement framework is proposed in the thesis by using network tomography technology .

在研究算法的基础上，论文提出了一个网络性能测量系统架构。

There are generally two methods for network topology identification : the traditional method needing cooperation of internal nodes and network tomography .

通常有两种方法进行网络拓扑识别：利用内部节点协作的传统方法和网络层析成像方法。