Platform for Distance Learning of Microcontrollers and Internet of Things
Main Article Content
Abstract
Keywords
platform, distance learning, microcontroller, internet of things, embedded systems, virtual laboratory plataforma, educación a distancia, microcontrolador, internet de las cosas, sistemas embebidos, laboratorio virtual
References
[2] P. Jacko, M. Bereš, I. Kovacova, J. Molnár, T. Vince, J. Dziak, B. Fecko, S. Gans, and D. Kovac, “Remote IoT Education Laboratory for Microcontrollers Based on the STM32 Chips,” Sensors, vol. 22, no. 4, 2022. [Online]. Available: https://doi.org/10.3390/s22041440
[3] D. Sarpong, G. Ofosu, D. Botchie, and F. Clear, “Do-it-yourself (DiY) science: The proliferation, relevance and concerns,” Technological Forecasting and Social Change, vol. 158, no. May, 2020. [Online]. Available: https://doi.org/10.1016/j.techfore.2020.120127
[4] D. De Roeck, K. Slegers, J. Criel, M. Godon, L. Claeys, K. Kilpi, and A. Jacobs, “I would DiYSE for it! A manifesto for do-it-yourself internet-of-things creation,” NordiCHI 2012: Making Sense Through Design - Proceedings of the 7th Nordic Conference on Human-Computer Interaction, pp. 170–179, 2012. [Online]. Available: https://doi.org/10.1145/2399016.2399044
[5] J. L. Victor, S. C. Jucá, R. I. Pereira, P. C. Carvalho, and L. M. Fernández-Ramírez, “IoT monitoring systems applied to photovoltaic generation: The relevance for increasing decentralized plants,” Renewable Energy and Power Quality Journal, vol. 17, no. September, pp. 536–545, 2019. [Online]. Available: https://doi.org/10.24084/repqj17.368
[6] R. I. Pereira, M. M. Camboim, A. W. Villarim, C. P. Souza, S. C. Jucá, and P. C. Carvalho, “On harvesting residual thermal energy from photovoltaic module back surface,” AEU - International Journal of Electronics and Communications, vol. 111, p. 152878, 2019. [Online]. Available: https://doi.org/10.1016/j.aeue.2019.152878
[7] A. Morris and N. Lessio, “Deriving Privacy and Security Considerations for CORE,” Internet of Things and Cloud-based Services Conference, vol. 1, no. 1, pp. 2–11, 2018. [Online]. Available: https://doi.org/10.1145/3267357.3267363
[8] D. Mijailovic, A. Dordevic, M. Stefanovic, D. Vidojevic, A. Gazizulina, and D. Projovic, “A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm,” Sustainability, vol. 13, no. 22, 2021. [Online]. Available: https://doi.org/10.3390/su132212396
[9] RaspberryPi Foundation, “Raspberrypi.” [Online]. Available: https://bit.ly/3tXNSUY
[10] Red Hat, “Red Hat Enterprise Linux: Manual de referencia.” [Online]. Available: https://bit.ly/3xSVdpV
[11] Red Hat-, “Red Hat SSH.” [Online]. Available: https://bit.ly/3NpD2OI
[12] Wiringpi, “Wiring Pi.” [Online]. Available: https://bit.ly/39QkERe
[13] GCC, “GCC online documentation.” [Online]. Available: https://bit.ly/3Oi0UFb
[14] CURL, “Command line tool and library for transferring data with URLs.” [Online]. Available: https://curl.se/
[15] ESP, “ESP32 Series Datasheet,” Espressif Systems, pp. 1–65, 2021. [Online]. Available: https://bit.ly/2E6qqIt
[16] ESP8266EX, “ESP8266EX Datasheet,” Espressif Systems, p. 31, 2020. [Online]. Available: https://bit.ly/2E6qqIt
[17] M. Technology, “USB Microcontrollers with nanoWatt Technology,” Technology, 2006. [Online]. Available: https://bit.ly/3OEOKpk
[18] A. Kevin, “That ’ Internet of Things ’ Thing,” RFiD Journal, p. 4986, 2010. [Online]. Available: https://bit.ly/3OdZmvI
[19] E. Inga, J. Inga, and A. Ortega, “Novel approach sizing and routing of wireless sensor networks for applications in smart cities,” Sensors, vol. 21, no. 14, pp. 1–17, 2021. [Online]. Available: https://doi.org/10.3390/s21144692
[20] A. Peralta, E. Inga, and R. Hincapié, “Optimal Scalability of FiWi Networks Based on Multistage Stochastic Programming and Policies,” Journal of Optical Communications and Networking, vol. 9, no. 12, p. 1172, 2017. [Online]. Available: https://bit.ly/3zZJicE
[21] H. Tabrizchi and M. Kuchaki Rafsanjani, A survey on security challenges in cloud computing: issues, threats, and solutions. Springer US, 2020, vol. 76, no. 12. [Online]. Available: https://doi.org/10.1007/s11227-020-03213-1
[22] E. Inga, M. Campaña, R. Hincapié, and O. Moscoso-zea, “Optimal Deployment of FiWi Networks Using Heuristic Method for Integration Microgrids with Smart Metering,” Sensors, vol. 18, no. 8, pp. 1–21, 2018. [Online]. Available: https://doi.org/10.3390/s18082724
[23] Firebase, “Firebase.” [Online]. Available: https://bit.ly/3blnhLa
[24] S. E. Ooi, R. Beuran, and Y. Tan, “Secure iot development: A maker’s perspective,” 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, 2021. [Online]. Available: https://doi.org/10.1109/COINS51742.2021.9524205
[25] Github, “SanUSB / EspCloudUpdate.” [Online]. Available: https://bit.ly/3Nj8azh
[26] J. I. Vega Luna, F. J. Sánchez-Rangel, G. Salgado-Guzmán, J. F. Cosme-Aceves, V. N. Tapia-Vargas, and M. A. Lagos-Acosta, “Red de monitorización para automatizar el sistema de enfriamiento de un centro de datos,” Ingenius, Revista de Ciencia y Tecnología, no. 24, pp. 87–96, 2020. [Online]. Available: https://doi.org/10.17163/ings.n24.2020.09
[27] S. Jucá and R. Pereira, “Aplicações práticas de sistemas embarcados Linux utilizando Raspberry Pi,” PoD Editoria, 2018. [Online]. Available: https://bit.ly/3negu8Q
[28] Github, “SanUSB / IOTUS.” [Online]. Available: https://bit.ly/3zWHxgx
[29] S. C. Jucá, P. C. Carvalho, and F. T. Brito, “A low cost concept for data acquisition systems applied to decentralized renewable energy plants,” Sensors, vol. 11, no. 1, pp. 743–756, 2011. [Online]. Available: https://doi.org/10.3390/s110100743
[30] I. M. Dupont, P. C. Carvalho, S. C. Jucá, and J. S. Neto, “Novel methodology for detecting non-ideal operating conditions for grid-connected photovoltaic plants using Internet of Things architecture,” Energy Conversion and Management, vol. 200, no. September, p. 112078, 2019. [Online]. Available: https://doi.org/10.1016/j.enconman.2019.112078
[31] R. Pereira, I. Dupont, P. Carvalho, and S. Jucá, “IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant,” Measurement Journal, vol. 114, pp. 286–297, 2018. [Online]. Available: https://doi.org/10.1016/j.measurement.2017.09.033
[32] R. Pereira, S. Jucá, and P. Carvalho, “IoT embedded systems network and sensors signal conditioning applied to decentralized photovoltaic plants,” Measurement, vol. 142, pp. 195–212, 2019. [Online]. Available: https://doi.org/10.1016/j.measurement.2019.04.085