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Practical Teaching of Business English Majors Based on Intelligent Machine Teaching
In order to improve the effect of business English teaching, this paper combines intelligent digital methods to intelligently process images of online business English teaching. Under the condition of weak feedback, the self-mixing interference signal has a sinusoidal shape, and the calculated envel...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113888/ https://www.ncbi.nlm.nih.gov/pubmed/35592721 http://dx.doi.org/10.1155/2022/3155292 |
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author | Shi, Yu Shi, Hu |
author_facet | Shi, Yu Shi, Hu |
author_sort | Shi, Yu |
collection | PubMed |
description | In order to improve the effect of business English teaching, this paper combines intelligent digital methods to intelligently process images of online business English teaching. Under the condition of weak feedback, the self-mixing interference signal has a sinusoidal shape, and the calculated envelope phase jump is small. Moreover, under moderate feedback conditions, the self-mixing interference signal is in the form of a sawtooth wave. The principle based on phase unwrapping is adopted, which solves the situation of finding the displacement very well. The experimental research shows that the practical teaching system for business English majors based on intelligent machine teaching proposed in this paper has good effects and can play an important role in business English teaching. |
format | Online Article Text |
id | pubmed-9113888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91138882022-05-18 Practical Teaching of Business English Majors Based on Intelligent Machine Teaching Shi, Yu Shi, Hu Comput Intell Neurosci Research Article In order to improve the effect of business English teaching, this paper combines intelligent digital methods to intelligently process images of online business English teaching. Under the condition of weak feedback, the self-mixing interference signal has a sinusoidal shape, and the calculated envelope phase jump is small. Moreover, under moderate feedback conditions, the self-mixing interference signal is in the form of a sawtooth wave. The principle based on phase unwrapping is adopted, which solves the situation of finding the displacement very well. The experimental research shows that the practical teaching system for business English majors based on intelligent machine teaching proposed in this paper has good effects and can play an important role in business English teaching. Hindawi 2022-05-10 /pmc/articles/PMC9113888/ /pubmed/35592721 http://dx.doi.org/10.1155/2022/3155292 Text en Copyright © 2022 Yu Shi and Hu Shi. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shi, Yu Shi, Hu Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title | Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title_full | Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title_fullStr | Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title_full_unstemmed | Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title_short | Practical Teaching of Business English Majors Based on Intelligent Machine Teaching |
title_sort | practical teaching of business english majors based on intelligent machine teaching |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113888/ https://www.ncbi.nlm.nih.gov/pubmed/35592721 http://dx.doi.org/10.1155/2022/3155292 |
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