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Implementation of a Sightseeing Multi-function Controller Using Neural Networks

  • Jae-Kyung, Lee (Department of Electronics and Communication Engineering, College of Engineering, Korea Maritime and Ocean University) ;
  • Jae-Hong, Yim (Department of Electronics and Communication Engineering, College of Engineering, Korea Maritime and Ocean University)
  • Received : 2022.05.04
  • Accepted : 2023.01.19
  • Published : 2023.03.31

Abstract

This study constructs various scenarios required for landscape lighting; furthermore, a large-capacity general-purpose multifunctional controller is designed and implemented to validate the operation of the various scenarios. The multi-functional controller is a large-capacity general-purpose controller composed of a drive and control unit that controls the scenarios and colors of LED modules and an LED display unit. In addition, we conduct a computer simulation by designing a control system to represent the most appropriate color according to the input values of the temperature, illuminance, and humidity, using the neuro-control system. Consequently, when examining the result and output color according to neuro-control, unlike existing crisp logic, neuro-control does not require the storage of many data inputs because of the characteristics of artificial intelligence; the desired value can be controlled by learning with learning data.

Keywords

Acknowledgement

We would like to thank Editage(www.editage.co.kr) for English language editing.

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