Remote laboratory implementation analysis based on virtual visual simulation

Shanshan Zhang; Haihui Xin

doi:10.1117/12.3029503

22 May 2024 Remote laboratory implementation analysis based on virtual visual simulation

Shanshan Zhang, Haihui Xin

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131762P (2024) https://doi.org/10.1117/12.3029503
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

With the rise of network informatization in assisting teaching, students in schools use various informatization methods for teaching. Students do not need to go to school to attend classes and participate in experimental learning activities through the Human-Computer Interaction Learning Center and "Remote Electronic Laboratory". The rapid development of online teaching should require the design of simulation tools, software and facilities for course content and experimental environments, but these key factors have become one of the bottlenecks affecting the quality of online teaching. This paper uses the neural network algorithm in machine learning and artificial intelligence to conduct intensive training and learning on the output and reception signal samples of semiconductor devices to obtain virtual visualization simulation results. Fit the simple data of the received signal to a system of two-dimensional linear equations to obtain the different magnitudes of the signals and obtain accurate coordinate positions. With the help of machine learning visualization processing, model changes can be compared, and the output effects are reasonable and very accurate. Compared with traditional semiconductor devices that do not have visual interface operations, virtual simulation in remote laboratories further expands the scope of use. The GUI program of the virtual visual simulation model created in this article makes the simulation of electronic circuit models simpler and more convenient, and has extensive promotion and reference effects.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shanshan Zhang and Haihui Xin "Remote laboratory implementation analysis based on virtual visual simulation", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131762P (22 May 2024); https://doi.org/10.1117/12.3029503

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KEYWORDS

Visualization

Virtual reality

Design

Machine learning

3D modeling

Bridges

Device simulation

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