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Academic Journal of Computing & Information Science, 2019, 2(1); doi: 10.25236/AJCIS.010023.

Design of College Students’ Physique Monitoring and Disease Warning System Based on Hadoop

Author(s)

Ying Zou, Leian Liu*, Xisheng Chen, Xixin Huang and Minfeng Wei

Corresponding Author:
Leian Liu*
Affiliation(s)

College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
*Corresponding author e-mail: lla@zhku.edu.cn

Abstract

In this paper, based on college students’ physique detection data and the big data processing tool, Hadoop, a system for college students’ physique monitoring and disease warning based on Hadoop is designed. The system consists of Hadoop distributed system architecture, Hadoop-based Hive data warehouse tool, Sqoop data transmission tool, database technology and data visualization system, etc. The system takes Hadoop architecture as the core, mainly through the storage, statistics, analysis and visualization management of the physique monitoring data to monitor the health of the students, to achieve prediction and early warning of susceptible diseases, and to generate analysis reports to help developing more reasonable sports programs aiming to improve the physique of the students and improve their health.

Keywords

Hadoop, data analysis, data visualization, physique monitoring, disease warning

Cite This Paper

Ying Zou, Leian Liu, Xisheng Chen, Xixin Huang and Minfeng Wei, Design of College Students’ Physique Monitoring and Disease Warning System Based on Hadoop. Academic Journal of Computing & Information Science (2019) Vol. 2: 102-109. https://doi.org/10.25236/AJCIS.010023.

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