Open AccessAnalysis and Design of an Online Data Collection Scheme Based on Campus Public Opinion Monitoring System
Author(s) -
Zhiliang Xia,
Zhijian Xiao,
Cong Zheng,
Xiaoling Zhang
Publication year - 2021
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v16i11.23321
Subject(s) - data collection , computer science , scheme (mathematics) , campus network , process (computing) , core (optical fiber) , public opinion , data mining , computer network , operating system , telecommunications , statistics , mathematics , politics , political science , law , mathematical analysis
The network data collection module is critical to the monitoring system of the public opinion on campus. To optimize the effect of network data collection, this study carried out comparative analysis on several different network data collection schemes, and formulated a data collection and filtering scheme based on the Libnids library. To improve the data collection performance, a multi-process pseudo-distributed processing scheme was prepared under multi-core CPU and the Linux framework. Finally, the proposed scheme was proved feasible and valuable in application based on campus public opinion monitoring system.