Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning

Authors

DOI:

https://doi.org/10.3991/ijoe.v16i14.16951

Keywords:

Remote lab, Web Interface, Flex design, minimal network privileges, Scalable.

Abstract


Lab sessions in engineering education are designed to reinforce theoretical concepts. However, usually there are not enough time to reinforce all of them. Remote and virtual lab give students more time for reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab equipment and specific configurations. This work proposes a flexible configuration for Remote Lab Sessions, based on some of 2019 most popular programming languages (Python and JavaScript). This configuration needed minimal network privileges, it is easily to scale and reconfigure. Its structure is based on a unique Reception-Server (which hosts User database, and Time Shift Manager, it is accessible from The Internet, and connect Users with Instruments-Servers) and some Instrument-Servers (which manage hardware connection and host experiences). Users always connect to Reception-Server, and book a shift for an experience. During the time range associate to that shift, User is internally forwarded to Instrument-Server associated with selected experience, so User is still connected to Reception-Serer. In this way, Reception-Server acts as a firewall, protecting Instrument-Servers, which never are open to The Internet. A triple evaluation system is implemented, User session logging and auto-evaluation (objectives accomplished) a knowledge test and an interaction survey. An experience is implemented, controlling a DC source using Standard Commands for Programmable Instruments.

Author Biographies

Jose María Sierra-Fernandez, Universidad de Cadiz, Research Group PAIDI-TIC-168

Jose María Sierra-Fernández is member of the Research Group ICEI PAIDI-TIC-168, in statistical signal processing, power quality and sensor networks. He received his Ph.D. degree in Engineering from Universidad de Cádiz in Algeciras (Spain) in 2017, and currently works as Associate Professor for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

Olivia Florencias-Oliveros, Universidad de Cadiz, Research Group PAIDI-TIC-168

Olivia Florencias-Oliveros is member of the Research Group ICEI PAIDI-TIC-168, in statistical signal processing, power quality and sensor networks. She received his Ph.D. degree in Engineering from Universidad de Cádiz in Algeciras (Spain) in 2019, and currently works as Research associated for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

Manuel Jesús Espinosa-Gavira, Universidad de Cadiz, Research Group PAIDI-TIC-168

Manuel Jesús Espinosa-Gavira is member of the Research Group ICEI PAIDI-TIC-168, in sensor networks, short-time prediction and environmental data. He received his Master. degree in Engineering from Universidad de Cádiz in Algeciras (Spain) in 2018, and currently he is writing his Ph.D. thesis. He actually works as Predoctoral Fellow for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

José Carlos Palomares-Salas, Universidad de Cadiz, Research Group PAIDI-TIC-168

José Carlos Palomares-Salas is member of the Research Group ICEI PAIDI-TIC-168, in machine learning, power quality and renewables energies. He received his Ph.D. degree in Engineering from Universidad de Cádiz in Algeciras (Spain) in 2013, and currently works as Associate Professor for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

Agustín Agüera-Pérez, Universidad de Cadiz, Research Group PAIDI-TIC-168

Agustín Agüera-Pérez is member of the Research Group ICEI PAIDI-TIC-168, in renewables energies, short-time prediction and environmental data. He received his Ph.D. degree in Engineering from Universidad de Cádiz in Algeciras (Spain) in 2013, and currently works as Associate Professor for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

Juan José González-de-la-Rosa, Universidad de Cadiz, Research Group PAIDI-TIC-168

Juan José González-de-la-Rosa is member of the Research Group ICEI PAIDI-TIC-168, in statistical signal processing, power quality and instrumentation. He received his Ph.D. degree in Physics-Electronics from Universidad de Cádiz in Algeciras (Spain) in 1999, and his Full Professor status in 2018, and currently works as Full Professor for the Spanish university “Universidad de Cádiz” in Electronics, in Escuela Politécnica Superior de Algeciras, 11202, Avda. Ramón Puyol s.n.

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Published

2020-11-30

How to Cite

Sierra-Fernandez, J. M., Florencias-Oliveros, O., Espinosa-Gavira, M. J., Palomares-Salas, J. C., Agüera-Pérez, A., & González-de-la-Rosa, J. J. (2020). Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning. International Journal of Online and Biomedical Engineering (iJOE), 16(14), pp. 69–80. https://doi.org/10.3991/ijoe.v16i14.16951

Issue

Vol. 16 No. 14 (2020)

Section

Papers