TY - GEN
T1 - Construction of efficient cloud-based digital course learning platform for agricultural worker
AU - Chang, Jui Hung
AU - Tseng, Chien Yuan
AU - Hwang, Ren Hung
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The trend of e-learning has become increasingly important. E-learning technically applies the advantages of features of the network, including no limitation to place and time, highly interactive, community impacts, and data analysis. Governments, educational institutions, companies and non-profit organizations have quickly established an eco-system to replace the traditional forms of teaching. How to use the ever-changing technology to enhance the manpower quality of government agencies and to help nurture talent is the objective of this study. Therefore, this study proposed a construction of efficient cloud architecture based digital course learning platform for agricultural workers. Through the proposed real-time streaming technology in this study, we can learn the network streaming traffic when videos are played. Furthermore, by employing the cloud architecture, the proposed method can optimize the efficiency of server resources via dynamic allocation and will contribute to a high-quality digital learning effect when users learn digital courses online.
AB - The trend of e-learning has become increasingly important. E-learning technically applies the advantages of features of the network, including no limitation to place and time, highly interactive, community impacts, and data analysis. Governments, educational institutions, companies and non-profit organizations have quickly established an eco-system to replace the traditional forms of teaching. How to use the ever-changing technology to enhance the manpower quality of government agencies and to help nurture talent is the objective of this study. Therefore, this study proposed a construction of efficient cloud architecture based digital course learning platform for agricultural workers. Through the proposed real-time streaming technology in this study, we can learn the network streaming traffic when videos are played. Furthermore, by employing the cloud architecture, the proposed method can optimize the efficiency of server resources via dynamic allocation and will contribute to a high-quality digital learning effect when users learn digital courses online.
UR - http://www.scopus.com/inward/record.url?scp=85014168950&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014168950&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-52836-6_12
DO - 10.1007/978-3-319-52836-6_12
M3 - Conference contribution
AN - SCOPUS:85014168950
SN - 9783319528359
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 97
EP - 106
BT - Emerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers
A2 - Gennari, Rosella
A2 - Cao, Yiwei
A2 - Huang, Yueh-Min
A2 - Wu, Wu
A2 - Xie, Haoran
PB - Springer Verlag
T2 - 1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016
Y2 - 26 October 2016 through 29 October 2016
ER -