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2019 | OriginalPaper | Chapter

Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis

Authors : Huijun Liu, Liu Yong, Ming-fei Qu

Published in: Advanced Hybrid Information Processing

Publisher: Springer International Publishing

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Abstract

The traditional English course planning information automatic calibration system has poor precision, weak data analysis ability and low calibration accuracy. To solve this problem, the new English course plan information automatic calibration system is designed with big data analysis technology, and the hardware and software parts of the system are designed. Designed with high-precision ARM processor, TA64 embedded tracking chip and CS652 positioning chip, the hardware consists mainly of two types of power supply, calibrator and monitor in series and parallel. The software part is designed with five functional modules: teaching case information collection, information processing, information analysis, information correction and correction structure detection to complete software optimization. The effectiveness of the calibration system has been verified compared to traditional automatic calibration systems. The experimental results show that the system has strong data analysis capability, high precision after calibration, good calibration effect and large development space.

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Literature
1.
Zheng, H., Cai, Y.: Big data environment risk assessment of optimization model for the simulation analysis. Comput. Simul. 33(9), 292–295 (2016)
2.
Zhang, H.: English ubiquitous learning ecosystem based on big data analysis. Teach. Adimistration 13(3), 107–109 (2017)
3.
Zibin, N., Zmeureanu, R., Love, J.: Automatic assisted calibration tool for coupling building automation system trend data with commissioning. Autom. Constr. 61, 124–133 (2016)CrossRef
4.
Ye, M.: A survey on information literacy of Zhejiang Vocational College English teachers under the big data environment. Jiaoyu Jiaoxue Luntan 33(50), 31–32 (2017)
5.
You, H.: A new model of college English teaching in the era of big data. Chin. J. ICT Educ. 45(15), 80–82 (2016)
6.
Zhong, R., et al.: Automatic calibration of fundamental diagram for first-order macroscopic freeway traffic models. J. Adv. Transp. 50(3), 363–385 (2016)CrossRef
7.
Zhou, Y.: Analysis of the ecological environment of college English teaching in the era of big data. Heilongjiang Sci. 8(3), 31–32 (2018)MathSciNet
8.
Wang, Y.: Reflection on reconstructing the ecological system of college English teaching in the era of big data. J. Heilongjiang Coll. Educ. 36(9), 128–130 (2017)
9.
Wen, X.: Revelation of theme and rheme on college English writing: analysis of big data based on millions of English writing with the same theme. Heihe Xueyuan Xuebao 36(7), 117–118 (2016)
10.
Ye, S., Zhang, C., Wang, Y., et al.: Design and implementation of automatic orthorectification system based on GF-1 big data. Trans. Chin. Soc. Agric. Eng. 33(s1), 266–273 (2017)
Metadata
Title
Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis
Authors
Huijun Liu
Liu Yong
Ming-fei Qu
Copyright Year
2019
Book
Advanced Hybrid Information Processing

Print ISBN: 978-3-030-19085-9

Electronic ISBN: 978-3-030-19086-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-19086-6_19

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