IP包在ATM无源光网络中传输

提出了一种在基于ATM平台的无源光网络 (ATMPON )中传送IP数据包的实施方案 ,避免了IPOA方式 ,简化了系统的复杂性 ,极大地提高了效率。     

Retroactive interference in neural networks and in humans: The effect of pattern-based learning

Catastrophic interference is addressed as a problem that arises from pattern-based learning algorithms. As such, it is not limited to artificial neural networks but can be demonstrated in human subjects in so far as they use a pattern-based learning strategy. The experiment tests retroactive interference in humans learning lists of consonant-vowel-consonant nonsense syllable pairs. Results show significantly more interference for subjects learning patterned lists than subjects learning arbitrarily paired lists. To examine how different learning strategies depend on the structure of the learning task, a mixture-of-experts neural network model is presented. The results show how these strategies may interact to give rise to the results seen in the human data.     

IP和ATM在Internet结合使用

主要说明Ｉｎｔｅｒｎｅｔ正在朝宽带网和提高业务质量的方向发展，简述ＩＰ选寻路由和ＡＴＭ交换相结合的方法，并介绍无线ＡＴＭ与ＩＰ结合的移动通信。     

Did MPOA achieve its objective?

Layer 3 switching is a subject vehemently discussed in the networking community. In addition to a number of manufacturer-specific approaches, multi-protocol over ATM (MPOA) and multiprotocol label switching (MPLS) are the most important examples of this technology. MPOA (Multi-Protocol Over ATM Specification v1.0, af-mpoa-0087.000, July 1997; Multi-Protocol Over ATM Specification v1.1, af-mpoa-0114.000, May 1999) was released in 1997 by the ATM Forum; MPLS (A Framework for Multiprotocol Label Switching, draft-ietf-mpls-framework-02.txt, 21 November 1997; Multiprotocol Label Switching Architecture, draft-ietf-mpls-arch-02.txt, July 1998) is a collection of IETF Internet drafts.This paper presents the concept of MPOA and reports on experiences resulting from the practical use of MPOA implementations from several manufacturers. The report also discusses the areas in which MPOA can be appropriately employed. Two years after the release of the MPOA standard, the time has come to critically discuss the original objective of MPOA, to examine the implementations of several manufacturers and to compare MPOA with other solutions and their objectives.     

Modeling and prediction of Turkey’s electricity consumption using Artificial Neural Networks

Artificial Neural Networks are proposed to model and predict electricity consumption of Turkey. Multi layer perceptron with backpropagation training algorithm is used as the neural network topology. Tangent-sigmoid and pure-linear transfer functions are selected in the hidden and output layer processing elements, respectively. These input–output network models are a result of relationships that exist among electricity consumption and several other socioeconomic variables. Electricity consumption is modeled as a function of economic indicators such as population, gross national product, imports and exports. It is also modeled using export–import ratio and time input only. Performance comparison among different models is made based on absolute and percentage mean square error. Electricity consumption of Turkey is predicted until 2027 using data from 1975 to 2006 along with other economic indicators. The results show that electricity consumption can be modeled using Artificial Neural Networks, and the models can be used to predict future electricity consumption.     

人工神经网络在混凝土强度预测中的应用

混凝土强度是结构设计中控制的主要指标,其数值决定于水灰比、胶凝材料用量、外加剂用量等多种因素。常规计算混凝土强度的公式因个人理解的不同而各异,一种仿生模型—人工神经网络则能很好地解决这个难题。尝试用人工神经网络对16种配比的混凝土进行28d强度预测,结果表明,此模型的可靠度很高,可以用以优化混凝土的试配,节约大量的时间、人力、物力和财力。     

Design of a randomly distributed sensor network for target detection

This paper explores the design and configuration of a sensor network for target detection. Subject to a budget limit for sensors, the network is required to secure a certain detection probability and to work for a reasonable long time. One novel model of randomly distributed network is presented to fulfill this requirement. A state switching scheme is developed for sensor to save energy. The functional relationships between detection probability and related parameters about sensor, network and target are analyzed. Moreover, a two-level optimization problem is formulated. At the lower level, we optimize the behavior of each sensor subject to its energy constraint and at the upper level, we maximize the lifetime of the network. Equilibrium solution of the two-level optimization problem is obtained by numerical method. An example is presented to illustrate the main results.     

TimeRadarTrees: Visualizing Dynamic Compound Digraphs

The evolution of dependencies in information hierarchies can be modeled by sequences of compound digraphs with edge weights. In this paper we present a novel approach to visualize such sequences of graphs. It uses radial tree layout to draw the hierarchy, and circle sectors to represent the temporal change of edges in the digraphs. We have developed several interaction techniques that allow the users to explore the structural and temporal data. Smooth animations help them to track the transitions between views. The usefulness of the approach is illustrated by examples from very different application domains.     

RPR--宽带城域网的最佳选择

介绍宽带城域网几种现有的组网技术;RPR技术概要及技术优势;RPR技术发展展望.     

无线ATM越区切换中的路由重选

论文研究了目前无线ATM通信网越区切换中的路由重选问题,对目前主要的几种路由重选方案进行了详细的比较和分析。