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

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Advanced Hybrid Information Processing (ADHIP 2018)

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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Correspondence to Huijun Liu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, H., Yong, L., Qu, Mf. (2019). Automatic Calibration System of English Lesson Plan Information Under Big Data Analysis. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_19

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19085-9

  • Online ISBN: 978-3-030-19086-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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