An Approach to Use Virtual and Remote Labs in Mechatronics Education Based on Cloud Services

Vitliemov, Pavel; Bratanov, Daniel; Marinov, Milko

doi:10.1109/eeae49144.2020.9279072

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…The approach proposed by Vitliemov et al [ 8 ] for developing a remote lab contains some improvements over most remote laboratories, considering the architecture and scalability of the platform. The platform is based on a server storing learning resources that are static.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, the authors state that they can be operated by organizations with different goals and with different students’ experiences. This platform also has some downsides, and further work is necessary to ensure the unity of recent curricular materials [ 8 ].…”

Section: Related Workmentioning

confidence: 99%

“…By using cloud computing, the resources available on a physical machine could be shareable and interoperable. Furthermore, if the teaching materials are designed in such a way that the users are not concerned with technical issues, then the end-users (the students) will have a much better experience [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

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Reconfigurable Wireless Sensor Node Remote Laboratory Platform with Cloud Connectivity

Chamunorwa

Modran

Ursuțiu

et al. 2021

Sensors

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Thanks to the recent rapid technological advancement in IoT usage, there is a need for students to learn IoT-based concepts using a dedicated experimental platform. Furthermore, being forced into remote learning due to the ongoing COVID-19 pandemic, there is an urgent need for innovative learning methods. From our perspective, a learning platform should be reconfigurable to accommodate multiple applications and remotely accessible at any time, from anywhere, and on any connected device. Considering that many of the university courses are now held online, the reliability and scalability of the system become critical. This paper presents the design and development of a wireless configurable myRIO-based sensor node that connects to SystemLink Cloud. The sensors that were used are for ambient light, temperature, and proximity. A graphical programming environment (G-LabVIEW) and related APIs were used for rapid concept-to-development process. Distinct applications have been developed for the instructor and students, respectively. The students can select which sensor and application to run on the system and observe the measurements on the local student’s application or the cloud platform at a specific moment. They can also read the data on the cloud platform and use them in their LabVIEW application. In the context of remote education, we strongly believe that this platform is and will be suitable for the COVID and Post-COVID eras as well because it creates a much better remote laboratory experience for students. In conclusion, the system that was developed is innovative because it is software reconfigurable from the device, from the instructor’s application and cloud via a web browser, it is intuitive, and it has a user-friendly interface. It meets most of the necessary requirements in the current era, being also highly available and scalable in the cloud.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Reconfigurable Wireless Sensor Node Remote Laboratory Platform with Cloud Connectivity

Chamunorwa

Modran

Ursuțiu

et al. 2021

Sensors

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“…A virtual pathology lab [15] brings reality, efficiency, and opportunities for collaborative learning that pathology education did not widely used before. An approach that uses virtual and remote labs in Mechatronics Education based on Cloud Services is proposed in [16].…”

Section: Introductionmentioning

confidence: 99%

Tele-Collaboration System in CVLab

Mechta¹,

Harous²,

Djoudi³

2022

IJCAI

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This work is part of a learning environment that has virtual laboratories that are designed for distant practical work (Tele-PW). In these environments, Tele-PW is performed in two modes: individual and/or collaborative. In this paper, we are concentrating on the tele-collaborative distant practical work model. The work, presented in this paper, proposes an artificial agent called Synchronizer Coordinator Agent (SCA) to synchronize and coordinate the activities of a cognitive process in order to build and maintain a shared conception of a distant practical work between a set of learners. This agent provides certain features such as managing groups of learners, coordinating tasks, shared workspace among members of the Working Group. It is also responsible for the synchronization of workspace agents when they want to manipulate shared virtual objects simultaneously. We have chosen Petri nets to illustrate the principle of granting access to shared objects in the case of simultaneous requests. Experimental results show the effectiveness, of the artificial agent within any tele-collaborative/tele-cooperative learning situation. Several situations describe the geographical/time dispersion of learners and tutors in our system are considered during the system design phase. Povzetek: V članku je opisan sistem za telekomunikacijsko sodelovanje pri virtualnih laboratorijih.

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