Research Article
Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis
@INPROCEEDINGS{10.1007/978-3-030-19086-6_19, author={Huijun Liu and Liu Yong and Ming-fei Qu}, title={Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis}, proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings}, proceedings_a={ADHIP}, year={2019}, month={5}, keywords={Big data analysis English teaching plan English information Automatic calibration}, doi={10.1007/978-3-030-19086-6_19} }- Huijun Liu
Liu Yong
Ming-fei Qu
Year: 2019
Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis
ADHIP
Springer
DOI: 10.1007/978-3-030-19086-6_19
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.
