A Case Study for High-Level Course Website Based on Muti-Technology Integration

Article Preview

Abstract:

In order to improve the communication between teachers and students and make the high-level course’s form intelligent, ThinkPHP, HTTP, SMTP, OpenCV, POP3 and SMTP were integrated to enhance high-level course performance. Micro-channel and Micro logging were used for the communication of the students and teachers. Furthermore, RFID device and camera were used as tools of checking on attendance and examination. The proposed system achieves the multiple technology integrated application which can also improving intelligence and the manage efficiency for high-level course.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3475-3478

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Yang D. P., Li J. J., Li Z. Y. et al., in: Thinking of High-Quality Courses Construction. Springer-Verlag Berlin Heidelberg. 335. (2011)

Google Scholar

[2] Qi M., Cui H. L., Fan Y. Y. et al., in: Research on Course Quality Evaluation Method of University Bilingual Education. School of Electronics and Information, Northwestern Polytechnical University, 710072 Xi'an, China, 717-721. (2009)

DOI: 10.21629/jsee.2018.01.19

Google Scholar

[3] Zhang S. F., Chen X. B., Fu J. H., in: Construction of Course-Education Website Based on Content Management System. The 5th International Conference on Computer Science & Education Hefei, China, 1390. (2010)

DOI: 10.1109/iccse.2010.5593754

Google Scholar

[4] Zou J, J., & Rao Y. T., in: TEMIC RFID Theory and Application, Journal of East China geological Institute, 22(4), 330-333. (1999) (in Chinese)

Google Scholar

[5] Woo J. S. & Jeong G. K. IEEE Communications Letters, Vol.13(5), 354 - 356. (2009)

Google Scholar

[6] Li H., Li Q. H. & Wei X., in: Application of RFID in Agricultural Seed Quality. the 8th World Congress on Intelligent Control and Automation, 6-9. (2010)

DOI: 10.1109/wcica.2010.5554021

Google Scholar

[7] Wu D. L., Wing W. Y. NG, Patrick P. K. et al, in: Access control by RFID and face recognition based on neural network. The Ninth International Conference on Machine Learning and Cybernetics, 11-14. (2010)

Google Scholar

[8] Dai Q. Y., Bao H., Yu Z. Q. et al, in: Design of Real-time Monitoring and Visual Management System Based on RFID for Engineering Training, World Congress on Computer Science and Information Engineering, 1-2. (2009)

DOI: 10.1109/csie.2009.326

Google Scholar