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I.-H. Yang, M.-S. Yeo and K.-W. Kim, “Application of Artificial Neural Network to Predict the Optimal Start Time for Heating System in Building,” Energy Conversion and Management, Vol. 44, No. 17, 2003, pp. 27912809. doi:10.1016/S0196-8904(03)00044-X

has been cited by the following article:

• TITLE: Homeostasis Lighting Control System Using a Sensor Agent Robot

  AUTHORS: Tatsuya Akiba, Akira Mita

  KEYWORDS: Homeostasis; Lighting Control; Sensor Agent Robot; Human Tracking

  JOURNAL NAME: Intelligent Control and Automation, Vol.4 No.2, May 24, 2013

  ABSTRACT: In this study, “homeostasis”, the function by which living things keep their constancy, was emulated as a lighting control for a building space. The algorithm we developed mimics the mechanisms of the endocrine and immune systems. The endocrine system transmits information entirely, whereas the immune system transmits information with a concentration gradient. A lighting control system using the proposed algorithm was evaluated in a simulation and experiment using a sensor agent robot. In this algorithm, a robot recognizes a person’s behavior and uses it to decide his or her preference as to the illuminance. The results indicate that the algorithm can be used to realize a comfortable lighting control in several situations.