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作 者:姚培娟[1] 张亚娟[1] 付辉[1] 裴航冉 YAO Peijuan;ZHANG Yajuan;FU Hui;PEI Hangran(Huanghe S&T University,Zhengzhou Henan,450061,China)
机构地区:[1]黄河科技学院,河南郑州450061
出 处:《信息与电脑》2022年第14期130-132,共3页Information & Computer
基 金:应用型本科院校《程序设计及应用》课程案例式教学研究(项目编号:kg2018al08);“专业教育+创新创业教育”相融合的双创教育体系的构建与实践——以计算机科学与技术专业为例(项目编号:201802261023);河南省民办高等学校品牌专业建设——计算机科学与技术(项目编号:ZLG201903);2020年度郑州地方高校优秀基层教学组织(项目编号:zzlg202005)。
摘 要:由于线上教学系统存在同时登录人数较多,响应时间较长,中央处理器(Central Processing Unit,CPU)占用率较高的问题,设计了基于大数据的计算机科学与技术课程线上教学系统。硬件上,设计了数字信号处理(Digital Signal Processing,DSP)芯片与网络附属存储(Network Attached Storage,NAS)文件。软件上:构建课程线上教学系统功能架构,使线上教学系统的内容更加丰富化;基于大数据技术设计线上教学数据处理算法,减少系统的CPU占用率;设计线上教学数据库,缩短线上教学系统响应时间,进而实现计算机科学与技术课程的线上高效教学。最后,经系统测试,当系统同时登录人数较多时,响应时间较短,CPU占用率较低,说明系统性能良好,极具推广价值。Aiming at the problems that the online teaching system has a large number of simultaneous logins, a long response time, and a high Central Processing Unit(CPU) usage rate, an online teaching system for computer science and technology courses based on big data is designed. On the hardware, Digital Signal Processing(DSP) chip and Network Attached Storage(NAS) file are designed. In terms of software,the functional structure of the online teaching system is constructed to enrich the content of the online teaching system;the online teaching data processing algorithm is designed based on big data technology to reduce the CPU usage of the system. The online teaching database is designed to shorten the line, the response time of the teaching system is improved, and the online teaching of computer and technology courses is realized efficiently. Finally, the system test shows that the response time is short and the CPU utilization rate is low when the number of users logging in at the same time is large, which indicates that the system has good performance and is of great promotion value.
分 类 号:G642[文化科学—高等教育学]
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