Learning cloud service and Internet applications using automatic emergency lights checking system

Abstract

With increasing applications in cloud service and Internet, learning about how to use such technologies is an important topic for engineering students in the automation discipline. Unfortunately, the current textbooks usually do not supply sufficient material for this purpose. Therefore, this paper aims to provide a practical case study for students to learn more about a cloud service and Internet technology. The case uses a remote automatic emergency lights checking system via Internet and cloud technique. Based on transmission control protocol/Internet protocol, the remote computer can connect with the Nearby Computer for carrying out a remote monitoring and control mechanism. All checked outcomes received by the Nearby Computer can be automatically uploaded to the cloud site. The content using “learn by doing” concept is integrated with a lab project for a specific course so that it can help students learn efficiently. The expected outcomes, practical improvement, impact on student learning, performance assessment, and course evaluation are provided and discussed for details in terms of its value in enhancing the students’ learning in automation engineering.

Keywords

Graphical User Interface cloud Visual Basic 8051 Internet

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References

Lin

. On line internet-based multi-location power system harmonics analysis and monitoring. Comput Appl Eng Educ 2009; 17: 241–252.

Lin

. Web-based remote on line maximum wind power monitoring and control system. Comput Appl Eng Educ 2007; 15(2): 155–165.

Lin

Liu

Pai

. A microprocessor-based monitoring and control system via internet in case study of pet care. Adv Mater Res Comput Mater Sci 2011; 268–270: 772–780.

Chen

Lin

. A distance e-learning platform for signal analysis and measurement using FFT. Comput Appl Eng Educ 2011; 19: 71–80.

Wahib M, Munawar A, Munetomo M, et al. A framework for cloud embedded web services utilized by cloud applications. In: 2011 IEEE world congress on services, Washington, DC, USA, 4--9 July 2011, pp.265–271.

Arefin A and Jiang G. CloudInsight: shedding light on the cloud. In: 30th IEEE symposium on reliable distributed systems (SRDS), Madrid, Spain, 4--7 October 2011, pp.219–228.

Zhang

. Environmental modeling for automated cloud application testing. IEEE Software 2012; 29(2): 30–35.

Pauley

. Cloud provider transparency: an empirical evaluation. IEEE Security Privacy 2010; 8: 32–39.

Riungu-Kalliosaari

Taipale

Smolander

. Testing in the cloud: exploring the practice. IEEE Software 2012; 29(2): 46–51.

10.

Dikaiakos

Katsaros

Mehra

. Cloud computing: distributed internet computing for IT and scientific research. IEEE Internet Comput 2009; 13(5): 10–13.

11.

Mercier

Hembree

. What the internet can do for you. IEEE Ind Appl Mag 1998; 4: 8–15.

12.

Xue C, Cheng X, Guo Y, et al. The design of a sub-nanojoule asynchronous 8051 with interface to external commercial memory. In: IEEE 8th international conference on ASIC (ASICON ‘09), Changsha, Hunan, China, 20--23 October 2009, pp.427–430.

13.

Rech P, Gerardin S, Paccagnella A, et al. Evaluating alpha-induced soft errors in embedded microprocessors. In: 15th IEEE international on-line testing symposium, Sesimbra-Lisbon, Portugal, 24--27 June 2009, pp.69–74.

14.

Rech

Paccagnella

Grosso

. Evaluating the impact of DfM library optimizations on alpha-induced SEU sensitivity in a microprocessor core. IEEE Trans Nucl Sci 2010; 57: 2098–2105.

15.

Leite F, Balen T, Herve M, et al. Using bulk built-in current sensors and recomputing techniques to mitigate transient faults in microprocessors. In: 10th Latin American test workshop, Búzios, Brazil, 2--5 March 2009, pp.1–6.

16.

Chen

Lin

Liu

. Local-loop based robot action control module using independent microprocessors. Comput Appl Eng Educ 2010; 18(4): 593–606.

17.

Li Y and Wang Z. A VB-based forest field data collection system. In: Second international workshop on computer science and engineering. Vol. 2, Qingdao, China, 28--30 October 2009, pp.551–554.

18.

Chen

Lin

Liu

. Local-loop based robot action control module using independent microprocessors. Comput Appl Eng Educ 2010; 18(4): 593–606.

19.

Lin

. On line internet-based multi-location power system harmonics analysis and monitoring. Comput Appl Eng Educ 2009; 17(3): 241–252.

20.

Lin

. Web-based remote on line maximum wind power monitoring and control system. Comput Appl Eng Educ 2007; 15(2): 155–165.

21.

Tewari R and Friedman F. Integrating objected-oriented software engineering in the computer science curriculum. In: The proceeding of software engineering education conference, San Diego, CA, USA, 5--7 October 1992, pp.270–283.

22.

Linn M and Clancy M. The case for case studies of programming problems. In: Communications of the ACM, 1992; 35(3): 121–132.

23.

Lin

. An Internet based graphical programming tool for teaching power system harmonics measurement. IEEE Trans Educ 2006; 49(3): 404–414.

24.

Lin

. An interactive framework for power system harmonics measurement using graphical programming and the Internet. Comput Appl Eng Educ 2006; 14: 44–52.