Human resource attendance mechanism based on the internet of things: A method based on data fusion

Author:

Wu Qiong1,Shen Ying2ORCID

Affiliation:

1. Office of Human Resource Changchun University of Technology Changchun China

2. School of Economic and Management Changchun University of Technology Changchun China

Abstract

AbstractThe development of Internet of Things technology makes people need to deal with an increasing amount of data, which brings the poor data quality, fast data generation speed and other problems. These problems have become one of the main obstacles restricting the development of human resource attendance. At present, data fusion methods as important methods in data fusion technology. This article fully utilizes human resource attendance data and proposes the LSTM‐Attention data fusion method. This method uses LSTM to model the data, extract potential features of the data, and filter out meaningful data in the human resource attendance mechanism through the Attention mechanism to achieve data fusion. Finally, experimental results in this article showed that the LSTM‐Attention data fusion method designed in this article has higher prediction accuracy. It fully mines the correlation between data, and further improves the accuracy of analysis and prediction in the human resource attendance mechanism based on the Internet of Things.

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems,Software

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recent Advances on Semantic IoT Data Integration;Internet Technology Letters;2024-02-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3