Please wait a minute...
New Technology of Library and Information Service  2005, Vol. 21 Issue (3): 88-89    DOI: 10.11925/infotech.1003-3513.2005.03.22
Current Issue | Archive | Adv Search |
Discussing the Agent Mode of the Dual-Export  Method of Library Network
Li Xin
(Library of East China Normal University, Shanghai 200062,China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper discusses the dual-export method that can connect libraries at university,campus LAN and internet.This method realizes distributary management of flux of the network,as well as makes data rate larger and cost less.

Key wordsLibrary      Proxy      Network     
Received: 20 September 2004      Published: 25 March 2005
ZTFLH: 

TP393

 
Corresponding Authors: Li Xin     E-mail: lixin@lib.ecnu.edu.cn
About author:: Li Xin

Cite this article:

Li Xin. Discussing the Agent Mode of the Dual-Export  Method of Library Network. New Technology of Library and Information Service, 2005, 21(3): 88-89.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.03.22     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I3/88

1李海东.基于策略路由的CERNET与公众网的有机结合.科技情报开发与经济,2003,13(11)
2http://lartc.org. Linux Advanced Routing & Traffic Control HOWTO

[1] Xi Yunjiang, Du Diedie, Liao Xiao, Zhang Xuehong. Analyzing & Clustering Enterprise Microblog Users with Supernetwork[J]. 数据分析与知识发现, 2020, 4(8): 107-118.
[2] Sheng Jiaqi, Xu Xin. Expanding Scholar Labels with Research Similarity and Co-authorship Network[J]. 数据分析与知识发现, 2020, 4(8): 75-85.
[3] Qiu Erli,He Hongwei,Yi Chengqi,Li Huiying. Research on Public Policy Support Based on Character-level CNN Technology[J]. 数据分析与知识发现, 2020, 4(7): 28-37.
[4] Cai Yongming,Liu Lu,Wang Kewei. Identifying Key Users and Topics from Online Learning Community[J]. 数据分析与知识发现, 2020, 4(6): 69-79.
[5] Liu Weijiang,Wei Hai,Yun Tianhe. Evaluation Model for Customer Credits Based on Convolutional Neural Network[J]. 数据分析与知识发现, 2020, 4(6): 80-90.
[6] Wang Mo,Cui Yunpeng,Chen Li,Li Huan. A Deep Learning-based Method of Argumentative Zoning for Research Articles[J]. 数据分析与知识发现, 2020, 4(6): 60-68.
[7] Li Wenzheng,Gu Yijun,Yan Hongli. Predicting Community Numbers with Network Bayesian Information Criterion[J]. 数据分析与知识发现, 2020, 4(4): 72-82.
[8] Yan Chun,Liu Lu. Classifying Non-life Insurance Customers Based on Improved SOM and RFM Models[J]. 数据分析与知识发现, 2020, 4(4): 83-90.
[9] Su Chuandong,Huang Xiaoxi,Wang Rongbo,Chen Zhiqun,Mao Junyu,Zhu Jiaying,Pan Yuhao. Identifying Chinese / English Metaphors with Word Embedding and Recurrent Neural Network[J]. 数据分析与知识发现, 2020, 4(4): 91-99.
[10] Liu Yuwen,Wang Kai. Finding Geographic Locations of Popular Online Topics[J]. 数据分析与知识发现, 2020, 4(2/3): 173-181.
[11] Xu Yuemei,Liu Yunwen,Cai Lianqiao. Predicitng Retweets of Government Microblogs with Deep-combined Features[J]. 数据分析与知识发现, 2020, 4(2/3): 18-28.
[12] Xu Jianmin,Zhang Liqing,Wang Miao. Tracking Static Topics with Bayesian Network[J]. 数据分析与知识发现, 2020, 4(2/3): 200-206.
[13] Xiang Fei,Xie Yaotan. Recognition Model of Patient Reviews Based on Mixed Sampling and Transfer Learning[J]. 数据分析与知识发现, 2020, 4(2/3): 39-47.
[14] Yu Chuanming,Zhong Yunci,Lin Aochen,An Lu. Author Name Disambiguation with Network Embedding[J]. 数据分析与知识发现, 2020, 4(2/3): 48-59.
[15] Ni Weijian,Guo Haoyu,Liu Tong,Zeng Qingtian. Online Product Recommendation Based on Multi-Head Self-Attention Neural Networks[J]. 数据分析与知识发现, 2020, 4(2/3): 68-77.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn