The Development of Student Information Management System Based on ASP.NET Workflow Technology

Abstract:

With the rapid development of Internet, today's society has entered the Internet era, computer network provides a powerful driving force for social and economic development. Improve the students' management level by means of network technology, has a far-reaching significance to the construction of first-class college. This paper focuses on the management system of student information development of college analysis the current situation of college student management work and the construction goal in the future, the student information management system development significance is discussed. Based on the analysis of the technical characteristics of C/S model and B/S model, and according to the characteristics of Guangxi Agricultural-vocational Technique College learn internet system, the software architecture using B/S model the whole system; to improve the treatment efficiency of development scheme by using stored procedures and triggers; on ASP.NET technology and workflow technology are studied; and discusses how to use ADO.NET to access the database using ASP.NET technology to realize the method. This paper adopts XML technology to realize data exchange, the formation of a standard data exchange platform, make the system more open and extensible.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 878-883
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.878
• Online since: November 2013
• Authors: Rong Ze Wan, Huang Xin
• Keywords: ASP.NET, B/S Model, Management System, Student Information

References

[1] Zhu Yazhou, Zheng Guoxin, Rui Yun, , Li Mingqi, A Novel Distributed Precoding Scheme Based on THP for Downlink Multi-Cell Multi-User OFDMA Wireless Systems, IJACT: International Journal of Advancements in Computing Technology, vol. 5, no. 9, pp.213-220, (2011).

DOI: 10.4156/jdcta.vol5.issue9.23

[2] Raore Soungalo, Li Renfa and Zeng Fanzi, Evaluating and Improving Wireless Local Area Networks Performance, IJACT: International Journal of Advancements in Computing Technology, vol. 3, no. 2, pp.156-164, (2011).

DOI: 10.1109/icicis.2010.5534802

[3] 3GPP TS 36. 300, Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved UTRA (E-UTRA), Dec. 2008. V8. 0. 0.

DOI: 10.1007/1-4020-5532-3_7

[4] L Tong, G Xu, B Hassibi, and T Kailath. Blind channel estimation based on second-order statistics: a frequency-domain approach. IEEE Trans. Inform. Theory, Vol. 41. Jan 1995. pp: 329-334.

DOI: 10.1109/18.370088

[5] Y Zhao, A Huang. A novel channel estimation methods for OFDM mobile communication systems based on pilot signals and transform domain processing [A]. inPro. IEEE 47th Vehicular Technology Conference [C], Phoenix, USA, 1997, pp: 2089-(2093).

DOI: 10.1109/vetec.1997.605966

[6] Theodore S. Rappaport etc. "Wireless Communications Principles and Practice. Publishing House of Electronics Industry. Mar. (2003).

[7] Sinern Estimation Coleri, Mustafa Ergen, Anuj Puri, Ahmad Bahai. A Study of Channel in OFDM Systems. IEEE VTC, Vancouver, Canada. September, (2002).

DOI: 10.1109/tbc.2002.804034

[8] D. B. Van, O. Edfors, and M. Sandle. On channel estimation in OFDM systems, Proc. IEEE Vehic. Tech. Conf, 1999. pp.815-819.

[9] H. Landau, H. O. Prolate spheriodal wave functions, Fourier analysis and uncertainty-III: The dimension of the space of essentially time and band-limited signal [J]. Bell Syst. Tech. 2002. pp: 41.

DOI: 10.1002/j.1538-7305.1962.tb03279.x