전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제62권5호
  • /
  • Pages.696-704
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  • 2013
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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RGBW LED 이용한 RBFNN 기반 감성조명 시스템 설계

Design of RBFNN-based Emotional Lighting System Using RGBW LED

  • Lim, Sung-Joon (Dept. of Electrical Engineering, The University of Suwon) ;
  • Oh, Sung-Kwun (Dept. of Electrical Engineering, The University of Suwon)
  • 투고 : 2012.10.17
  • 심사 : 2013.03.24
  • 발행 : 2013.05.01
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초록

In this paper, we introduce the LED emotional lighting system realized with the aid of both intelligent algorithm and RGB LED combined with White LED. Generally, the illumination is known as a design factor to form the living place that affects human's emotion and action in the light- space as well as the purpose to light up the specific space. The LED emotional lighting system that can express emotional atmosphere as well as control the quantity of light is designed by using both RGB LED to form the emotional mood and W LED to get sufficient amount of light. RBFNNs is used as the intelligent algorithm and the network model designed with the aid of LED control parameters (viz. color coordinates (x and y) related to color temperature, and lux as inputs, RGBW current as output) plays an important role to build up the LED emotional lighting system for obtaining appropriate color space. Unlike conventional RBFNNs, Fuzzy C-Means(FCM) clustering method is used to obtain the fitness values of the receptive function, and the connection weights of the consequence part of networks are expressed by polynomial functions. Also, the parameters of RBFNN model are optimized by using PSO(Particle Swarm Optimization). The proposed LED emotional lighting can save the energy by using the LED light source and improve the ability to work as well as to learn by making an adequate mood under diverse surrounding conditions.

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참고문헌

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피인용 문헌

  1. Design of a LED Emotional Lighting System for Indoor Exercise and Resting Situations using Fuzzy Inference vol.15, pp.2, 2015, https://doi.org/10.7236/JIIBC.2015.15.2.181
  2. Design of Neuro-Fuzzy LED Emotional Lighting System for Concentration and Resting Situations in Indoor Environment vol.19, pp.3, 2015, https://doi.org/10.6109/jkiice.2015.19.3.558