Please wait a minute...
New Technology of Library and Information Service  2002, Vol. 18 Issue (4): 28-30    DOI: 10.11925/infotech.1003-3513.2002.04.11
Current Issue | Archive | Adv Search |
Base of Intelligent Library——The Construction of Premises Distribution System
Li Hua
(Library of Chengdu University ,Chengdu 610081, China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      
Abstract  

At present, Premises Distribution System is the base of library modernization, it's quality decide the future suggestion on correct cabling method and points deserved paying attention in cabling process.

Key wordsPremises distribution system      Library      Construction      Network     
Received: 03 September 2001      Published: 25 August 2002
ZTFLH: 

TP393

 
Corresponding Authors: Li Hua   
About author:: Li Hua

Cite this article:

Li Hua. Base of Intelligent Library——The Construction of Premises Distribution System. New Technology of Library and Information Service, 2002, 18(4): 28-30.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2002.04.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2002/V18/I4/28

[1] 李文芳.网络建设基础——综合布线系统的研究.现代图书情报技术,2001,(3)
[2] 陈龙.智能小区及智能大楼的系统设计.北京:中国建筑工业出版社,2001,1
[3] 冉文格.智能化图书馆建设需求要点.图书馆论坛,1999,(4)
[4] 夏继华,蒋春林.图书馆电子阅览室的内部设计与结构化布线.图书馆论坛,1999,(2)

[1] Xu Chenfei, Ye Haiying, Bao Ping. Automatic Recognition of Produce Entities from Local Chronicles with Deep Learning[J]. 数据分析与知识发现, 2020, 4(8): 86-97.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn