A Novel Approach to Remote Teaching: Multilanguage Magnetic Measurement Experiment

Cmuk, Drago; Boršić, Mladen; Mutapcic, T.; Rapuano, Sergio

doi:10.1109/tim.2007.913714

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…The outbreak of coronavirus has made colleges and universities fully aware of the importance of information-based teaching [1][2][3]. A school's traditional theory combined with an experimental teaching mode is very resource-intensive and can no longer meet the learning needs of students.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Field Visualization Teaching Based on Fusion Method of Finite Element and Neural Network

Yang

et al. 2022

Applied Sciences

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We developed a visual teaching platform that can calculate the magnetic field of magnetic core inductance in real time. The platform adopts the combination of two theories of finite element calculation and neural network technology. It can enhance students’ understanding and application of the basic knowledge of electromagnetic fields. First, the finite element method was used to calculate the magnetic field of the magnetic core inductance, and the magnetic field data set under different input parameters was obtained. On this basis, the neural network method was used to learn the data set and train the corresponding model. Then the trained neural network model was used to calculate the magnetic core inductance magnetic field. After comparing with the finite element calculation results, we found that the calculation results of the neural network model combined with the finite element were in good agreement with the finite element calculation results. Compared with the finite element calculation method, the calculation speed of the magnetic field distribution calculated by the neural network was faster. Taking the calculation of the magnetic core inductance magnetic field as an example, the calculation time was shortened by about 170 times. Finally, we built a magnetic field visualization teaching platform based on MATLAB. The example magnetic field was quickly predicted by the neural network, saving computing time and effectively improving the teaching of electromagnetic field theory.

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Section: Introductionmentioning

confidence: 99%

Magnetic Field Visualization Teaching Based on Fusion Method of Finite Element and Neural Network

Yang

et al. 2022

Applied Sciences

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“…These factors, along with the rapid pace of evolution of Information Technologies (IT), have sparked the development of remote laboratories and their adoption in almost all fields of engineering education in the last two decades with a high rate of promulgation among universities all around the globe. In the literature, remote laboratories are typically applied in engineering disciplines such as: electronics , digital electronics , microelectronics , power systems and electric machines , renewable energy , signal processing , control theory [13,14], Industrial Control Systems (ICS) , instrumentation and measurement , embedded systems , mechatronics and robotics , and telecommunications .…”

Section: Introductionmentioning

confidence: 99%

Novel design and development of advanced remote electronics experiments

Tawfik

Monteso

García-Loro

et al. 2014

Comp Applic In Engineering

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This article reports on the design and development of a new set of remotely controlled electronics experiments oriented to postgraduates and apprentices. Industrial‐related issues are emphasized to allow understanding of the behavior of electronics components. The experiments are fully delivered online with a high level of flexibility. Remote retrieved results are provided. © 2014 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:327–336, 2015; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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“…(2005). In addition, there are some mechanical and chemical engineering experimental set-ups, Cmuk et al (2008), Restivo et al (2009) and Rojko et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Testing Bench for Remote Practical Training in Electric Machines

Herrera

Andújar

Borrero

et al. 2013

IFAC Proceedings Volumes

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Remote labs are emerging as a necessary tool to support practical classes in engineering studies. It is due to the increasing number of students who combine their studies with work. In fact, there are numerous developments in areas such as electronics and automatic. However, there are only a few of them in the area of electrical machines. This paper presents a testing bench for remote practical training in electric machines. The security challenges presented by these experiments are overcome by software within the remote lab. In addition, a friendly interface has been designed including augmented reality to identify the different elements and to provide information on these items if the student requires it. The testing bench has been developed to be used in different kinds of electrical machines test.

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A Novel Approach to Remote Teaching: Multilanguage Magnetic Measurement Experiment

Cited by 8 publications

References 7 publications

Magnetic Field Visualization Teaching Based on Fusion Method of Finite Element and Neural Network

Magnetic Field Visualization Teaching Based on Fusion Method of Finite Element and Neural Network

Novel design and development of advanced remote electronics experiments

Testing Bench for Remote Practical Training in Electric Machines

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