Study of IP over WDM System Structure

WDM technology is the basis of optical network implementation. Due to eliminating SONET/SDH and ATM elements, and allowing direct connection with IP routers, IP over WDM can reduce network cost and simplify network expansion . In this thesis, the structure and protocol layers of IP over WDM are firstly explained. Then the procedures of this network are described briefly. At last, the problems and future of IP over WDM are analyzed     

Traffic Engineering and Traffic Matrix in IP Backbone Network Based on MPLS

On current network actuality and development trend, it is necessary to put traffic engineering in practice in IP backbone network on IP/MPLS. The essential demand in actualizing traffic engineering is traffic matrix measurement. After analyzing the defect of current measurement method, traffic engineering model and traffic matrix on LSP in IP backbone network based on MPLS, or relevant routing algorithm are researched. The merit of the traffic matrix's measurement method is that implement of measurement is only located in the edge node; therefore, network resource's cost is lower and it offers a new train of thoughts for resolving the flaw of current main measurement methods, moreover, and condition for actualizing traffic engineering.     

Real-Time Tracing of 200 MW Power Plant Generators By A 3~+ Network

The communication of the application program among work tations of 3+ network is realized by the shared file on harddisk of the network server,which does not support the application program' s real-time communication among the network workstations nor supplies software or hardware needed for information refreshing, nor fits for field multibatch continuous real-time transmission and processing of working condition information, by using the NETBIOS function call method, the real-time communication among network workstations is realized and a power plant working information background real-time communication and data processing system is developed which effectively traces working condition from tow 200 MW power plant generators, altogether 321 points from a cycling detecting system and 78 binary points for broadcasting the information to other workstations,and realizes a complx display of 14 working condition graphs and a real-time data simulation graph.     

Application of Fuzzy Variable StructureControl in Generator Excitation System

In order to solve the problem of the high frequency shiver,a novel fuzzy variable structure control approach is presented by combining the fuzzy control with the variable structure.The proposed approach is successfully applied to the generator excitation control.The digital simulation results show that the proposed approach is very effective.     

Design and Realization of Video Consultation Classroom Based on IP Network

How to make use of computer network in teaching becomes the focus of concern for the computer engineers and teachers.The remote video consultation classroom can be used in teaching by using internet and NGN server to improve the instruction and stimulate the students' interest in study.As the IP network is widely used in campus,connection could be set up for student dormitory,office or even the teacher's home.On the computer network teacher and student can discuss face to face online and make best use of their time.This paper discusses the problem about how to construct a network-video class room based on computer network including VOIP and NGN(new generation network) switch server.     

Application of Mobile IP in VPN

VPN is a technology that realizes the security transmission of private information through the public network. As one of key technologies, tunnel technology resolves the mobility problem of mobile nodes. Firstly, L2TP and IPSec have been compared based on these two tunnel principles introduction of VPN. Secondly the advantages of IPSec in security have been introduced. Then, the problems of mobile host and two models of tunnel in VPN have been introduced. Lastly, the advantages of utilizing the mobile IP to resolve the problem of mobile host have been analyzed, and this technology has been compared with VPDN.     

WEPP模型中的CLIGEN与BPCDG应用对比研究

通过对遂宁组紫色土产流、产沙侵蚀的观测,运用迄今为止最为复杂的土壤侵蚀预测模型WEPP模型进行单次降雨侵蚀预测,与实测值比较,并对比通过气候生成器CLIGEN和断点生成器BPCDG的产生的气候参数对预测值的影响。通过分析比较结果,认为WEPP模型对遂宁组紫色土侵蚀过程预测合理,而且利用断点生成器BPCDG的预测结果要优于气候生成器CLIGEN的预测结果。     

A Prediction of Network Traffic Flow Based on Lyapunov Exponent

The prediction of network traffic flow is a problem of great significance in the research work of resource allocation and congestion control. Based on this accurate prediction, the scheme of resource allocation and control can easily adapt to dynamic variations of incoming traffic flow. So the goal of optimal network performance is achieved. There are many sorts of traffic flow of self-similarity characteristics in high-speed network, and some research work has showed this self-similarity keeps in close contact with the attractor of chaos system. A rate prediction of self-similar traffic sources in high-speed network is proposed as well as the maximum of predictable time by applying the technology of phase space reconstruction about chaotic time series. This method has a simple prediction mode, and the result of simulations indicates it also has highly accurate results.     

On the Research of the Periodicity and Statistical Characteristics by Linear Congruence and Combined Generator

In this paper the author researches the periodicity and statistical characteristics produced by linear congruence and combined generator through numerical value tests, and puts forward a random numeral generator with a long periodicity, a good independence and homogeneity.     

GPV感染扰动雏鹅系统互作网络的研究

为了解GPV(Goose parvovirus)侵染的病理学致病机理,探究GPV感染扰动雏鹅动态代谢网络平衡系统,对GPV感染雏鹅血液中的蛋白质、代谢酶活性及其同工酶结构和功能等进行生化分析。结果显示,GPV感染雏鹅的血液中,蛋白酶、Est、POD、SOD、ALP、ADH、Amy、CAT、GPT、LDH活性分别提高约41%/63%,30%/53%,50%/14%,36%/73%,156%/142%,1005%/22%,36%/26%,13%/51%,60%/244%,289%/139%;Ig G、IgM含量分别降低约50%,40%;蛋白质含量增长约50%,GPV感染雏鹅的血浆Est、SOD、ADH、Amy同工酶分别新增2,2,1,3条酶谱带,Est同工酶消减2条慢区谱带;血细胞Est、POD、SOD、Amy同工酶分别新增1,2,1,2条酶谱带;血液中CAT、LDH、GPT、ALP同工酶分别出现7,1,3,3条酶带变异,血细胞CAT、ADH同工酶分别缺少快区和慢、快区酶带,ALP同工酶在血浆与血细胞方面分别缺少慢区和快区酶带。同时显示重链59 kDa蛋白带是CK组IgM/G的共同特征,感染组Ig G还缺失258,36 kDa蛋白带;血浆与血细胞分别新增加131,86,43,33 kDa和144,104,58,53 kDa蛋白。血浆消减1条慢区酶蛋白,血细胞增加2条慢区酶蛋白。提示GPV感染应激与寄主蛋白质、蛋白酶及同工酶基因表达的协同作用,通过独特的扰动宿主动态平衡代谢网络直接或间接调控细胞易感性能。     

The Study on the Branched Feedforward Neural Network

Based on the BP algorithm,the Branched Feedforward Neural Network,one ofthe artificial neural network medel used for pattern classification is proposed in this paper, and therelated algorithm is also offered here, Several typical examples of pattern classification are studiedwith computer simulation, The simulation results show that the training time of Branched Feedforward Neural Network is obviously reduced and the classifying effect is much better as compared withgeneral BP Network.     

The New Trend of Network Management: Web based Network Management

WEB(Web based Network Management) is new trend of Network Management.Features of WBM and related international standards are described.AI environment integrates with WBM is the next trend of network management too.Integrated and intelligent WBM system will be developed in the futare.     

Realizing 3 Layers Transport Model in the Communication Between Embedded System and PC

This article puts forward a 3 Layers Model for the communication between embedded system and PC. It is based on the speciality of them and the TCP/IP model. The model defines the communicate process of embedded system to be three layers: Transport Layer, Control Layer and Application Layer. Each layer serves for its higher-up. It can keep the efficiency and credibility of the communicate process and the authors prove and analyse that in the article. the concept of the model is also suitable for Bluetooth, IrDA and other kinds of communication about embedded system.     

The Software Implementation of Neural Network Fuzzy Inference Cooperation System

This poper sets up a new Neural Network Fuzzy inference Cooperation system which is based on fuzzy inference principle in Expert Systems,take advantage of the powerful learning function, the little sensitivity to input layer's samples,and the fast convergence and so on in FCBP and take advantage of the good sort property and good suit property to fuzzy value in MFART Network.     

Analysis on the Control of Variable Speed Wind Turbine Using Neural Network Controller

It is very difficult to build the accurate mathematical model of the wind turbine generator system because of the uncertainty of air kinetics and the complexity of power electronics, especially when the wind speed changes abruptly or there is a disturbance. But the classical control needs the model. Using neural network controller to the wind turbine generator system can overcome these difficulties. The wind speed can be followed and the maximum power can be obtained under low wind speed by using the power coefficient curve BP neural network and the optimum pitch angle BP neural network. The maximum power can be kept and under the allowed range in the condition of high wind speed. The simulation model and result are given under the environment of MATLAB. The fluctuation of wind speed can be controlled and the disturbance can be cancelled by BP neural network controller.     

小功率管式臭氧发生器电源与定时控制设计

介绍了用于果蔬保鲜的小功率管式电晕放电型臭氧发生器电源电路利用电晕放电原理产生臭氧（O3）的工作过程。根据臭氧发生管放电极的空间布局上的特点,设计双变压器回路给予供电,并辅以STC89C52RC单片机控制电路,实现定时可控功能。该设计克服了传统果蔬保鲜臭氧发生器电源模块庞大的缺点,并根据臭氧发生器的机械结构特点设计了合适的电路板,使电源模块体积减小,节省了安装空间。     

Combined Network Model for Occupant Evacuation in Building Fires

Safe evacuation is the most fundamental requirement of fire safety measures in buildings. Many computer based evacuation models have been developed to quantify and model human movement in the buildings. Two methods are usually used to represent the building enclosure in these models: fine and coarse networks. This paper presents a fine network model and a coarse network model based on these methods respectively, and develops an integrated network model that integrates both network methods for efficient and detailed assessment of evacuation in large and complex buildings. To demonstrate the advantages of using the integrated network model, the results of its simulation for a high rise office building and a large shopping mall are discussed and compared to the simulation results of the fine network model and the coarse network model. It shows that the integrated model can be used to simulate evacuation in large and complex building and is adequate in representing details of the evacuation process.      

The Three-Valued PMC Model Computer System Diagnosis Implemented by Artificial Neural Network

This paper systematically studied how to construct a neural network to realize the three-valued computer system diagnosis problems. Through a lot of simulation it seems effective to solve the computer system diagnosis problems with the help of network. Meanwhile the simulation also reveals the relations among capacity C, resistance R , gain Kand time.