Personnel Identification and Management System based on Distributed Computer Network Technology

DOI

10.2991/icmcs-18.2018.145How to use a DOI?

Keywords

Distributed Computer Network Technology; Personnel Identification and Management System; Database Management;

Abstract

The development of network technology has also driven the application of computer network technology in the personnel identification and management system of enterprises and public institutions. In enterprises and public institutions, there is more and more work on the amount of personnel information and types of personnel information on human resources, which is also becoming more and more complicated. Therefore, traditional manual statistics and processing methods cannot meet the needs of personnel identification and management systems. Therefore, the related database problems of distributed computer network technology for personnel identification and management systems have attracted more and more attention from experts and scholars who are conducting increasing research in this field. In order to improve the efficiency of personnel and management systems in enterprises and public institutions, many enterprises use distributed computer network technology in the personnel identification and management system to manage the integration of personnel information database to improve the efficiency of this work. Therefore, based on the distributed computer network technology, this paper explores the constructive role of enterprise personnel identification and management system.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaorong Zhang
PY  - 2018/10
DA  - 2018/10
TI  - Personnel Identification and Management System based on Distributed Computer Network Technology
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 695
EP  - 700
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.145
DO  - 10.2991/icmcs-18.2018.145
ID  - Zhang2018/10
ER  -