Modeling and performance analysis of IP access interface in optical transmission networks with packet switching

The article analyzes the influence of the Internet Protocol (IP) access interface on the packet loss probability and delay times in the optical packet switched network. The network and node model have been proposed, and the structure of the IP access interface, including assembler and holder, have been included in the analysis. It has been shown that the increase of the maximum optical packet sizes, as well as use of the holding feature as contention resolution mechanism, decrease the packet loss probability, but introduce delays at the optical network access points. Modeling and analysis were based on the discrete event simulation assuming self-similar traffic sources. IP packet lengths were modeled using empirical data. This work has been conducted while the author was affiliated with the Telecommunication Laboratory, Swiss Federal Institute of Technology (EPFL-STI-ITOP-TCOM), Lausanne, Switzerland     

电信网络管理的望族——TMOS

电信管理及运营支撑是爱立信公司为公用电信网提供的有关管理及运营支撑功能的综合方案，本文介绍了其中的公网管理系统和蜂窝移动网络管理系统。     

Aeromagnetic compensation using neural networks

Airborne magnetic surveys in geophysical exploration can be subject to interference effects from the aircraft. Principal sources are the permanent magnetism of various parts of the aircraft, induction effects created by the earth's magnetic field and eddy-current fields produced by the aircraft's manoeuvres. Neural networks can model these effects as functions of roll, pitch, heading and their time derivatives, together with vertical acceleration, charging currents to the generator, etc., without assuming an explicit physical model. Separation of interference effects from background regional and diurnal fields can also be achieved in a satisfactory way.     

Analyzing the Reliability of Degradable Networks

The reachability of a strongly connected network may be destroyed after link damage,Since many networds have directed links with the potential for reversal,the reachability may be restored by reversing the direction of links.In this paper,the reliability of a network that allows reversal of links in discussed.     

网络安全技术研究

网络安全问题已经成为网络发展中急需解决的问题。已经引起人们的重视。给出了网络安全的概念，网络所面临的威胁，提出了解决网络安全的相关技术。     

网络管理体系间迁移方法的探讨

本文提出了在异质型互连网络环境下为实现统一的网络管理可能出现的管理信息共享问题。为此，作者深入探讨，分析了目前国外为实现这种管理信息共享所采用的几种迁移方法；协议迁移，接口迁移和ＭＩＢ迁移。     

新技术在制盐行业设备管理中的应用

通过新设备、新技术的引进和应用。重庆索特股份有限公司加强设备管理，不管是在规范性上，还是在可操作性上，都取得了明显的效果。去年全年设备维修费用大幅度降低，经济效益明显。     

地域通信网中基于业务量的动态路由研究

本文从地域通信网的特点出发，分析了以前所使用的路由选择方法的优缺点，提出了网控支持的基于业务量的动态中币管理方法，并描述了该路由管理方法的分层结构和在地域网网络管理系统中的具体实现。     

Bandwidth allocation algorithms for weighted maximum rate constrained link sharing policy

This paper addresses the problem of bandwidth allocation under the weighted maximum rate constrained link sharing policy and proves a key theory in the condition of allocation termination. We propose several algorithms with various worst-case and average-case time complexities, and evaluate their computation elapse times.     

Bayesian inference in disputed authorship: A case study of cognitive errors and a new system for decision support

Bayesian inference provides a formal framework for assessing the odds of hypotheses in light of evidence. This makes Bayesian inference applicable to a wide range of diagnostic challenges in the field of chance discovery, including the problem of disputed authorship that arises in electronic commerce, counter-terrorism and other forensic applications. For example, when two documents are so similar that one is likely to be a hoax written from the other, the question is: Which document is most likely the source and which document is most likely the hoax? Here I review a Bayesian study of disputed authorship performed by a biblical scholar, and I show that the scholar makes critical errors with respect to several issues, namely: Causal Basis, Likelihood Judgment and Conditional Dependency. The scholar’s errors are important because they have a large effect on his conclusions and because similar errors often occur when people, both experts and novices, are faced with the challenges of Bayesian inference. As a practical solution, I introduce a graphical system designed to help prevent the observed errors. I discuss how this decision support system applies more generally to any problem of Bayesian inference, and how it differs from the graphical models of Bayesian Networks.