摘要
新冠疫情环境对人员流动行程的追踪提出了更高的要求。高校作为特定时间段人员流动复杂、人员聚集密度很大的社会组织,如何保证学生安全返校并及时发现可能存在的风险是当前抗击疫情的重点问题。本文设计了一种基于随机邻近嵌入(SNE)算法选择嵌入算法的行程码生成方法,并应用于高校学生返校流程之中。分析结果表明,该方法具有随机性好,难于伪造,利于快速确认行程等特点,可以有效提高数字校园中学生返校的效率。
The COVID-19 pandemic makes a higher requirement of itinerary tracking for personnel flow.There is a critical problem for college or university,as a social organization which has complex personnel flow and high density of people gathering in specific time period,to ensure the safety of students that return to the campus and discover possible risks in time.This paper designed a travelling code generation method based on SNE(Stochastic Neighbor Embedding)selective embedding algorithm and applied it to the process of campus returning for college students after vocation.Analysis results showed that this method had the characteristics of good randomness,difficult to forge and conducive to get a quick confirmation of the itinerary,which was able to improve the efficiency of returning procedure for students within digital campus.
作者
王俊松
金易琛
郝永生
周晓峰
Wang J unsong;Jin Yichen;Hao Yongsheng;Zhou Xiaofeng(Information Development Center,Nanjing Vocational College of Information Technology,Nanjing 210023,China;College of Computer and Information,Hohai University,Nanjing 210024,China;College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Network&Information Center,Nanjing University of Information Science&Technology,Nanjing 210044,China;School of Mathematics and Statistics,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《信息化研究》
2021年第4期45-52,共8页
INFORMATIZATION RESEARCH
基金
国家自然科学基金资助项目(U1736105)
江苏省现代教育技术研究2018年度智慧校园专项重点课题(2018-R-66931)。
关键词
新冠疫情
行程码
随机邻近嵌入算法
选择嵌入
返校系统
COVID-19
QR travelling code
SNE algorithm
selective embedding
campus returning system
