2016
DOI: 10.11591/aptikom.j.csit.121
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Intelligent Multi-coloured Lighting System Design with Fuzzy Logic Controller

Abstract: This paper describes the design of an intelligent energy efficient lighting system that uses multi-coloured LEDs and a fuzzy logic controller to produce light of the required luminance level and colour in a typical room space. The lighting system incorporates automatic control of a room’s window shade opening, conveniently harvesting daylight. Appropriate room occupancy sensors were set to dim off the LEDs if there are no people in the room. A movement sensor was also considered for dimming the LEDs if the per… Show more

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Cited by 4 publications
(4 citation statements)
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“…On the other side, by using the controller, energy can be saved up to around 23.9 % [9]. These results proved that the proposed controller could contribute in increasing energy usage efficiency [10].…”
Section: B Fuzzy Controller Design For Lighting Systemmentioning
confidence: 61%
“…On the other side, by using the controller, energy can be saved up to around 23.9 % [9]. These results proved that the proposed controller could contribute in increasing energy usage efficiency [10].…”
Section: B Fuzzy Controller Design For Lighting Systemmentioning
confidence: 61%
“…It can effectively extract features from the detailed changes of human movements on stage. 18,19 The function expression of a two-dimensional Gabor filter is shown in formula (5).…”
Section: Human Body Feature Extraction and Classificationmentioning
confidence: 99%
“…Gabor feature extraction can achieve feature information extraction in different directions and sizes, without being sensitive to factors such as lighting. It can effectively extract features from the detailed changes of human movements on stage 18,19 . The function expression of a two‐dimensional Gabor filter is shown in formula ().…”
Section: Construction Of Stage Lighting Control Model Based On Hog‐sv...mentioning
confidence: 99%
“…The use of Fuzzy logic controllers has also increased over the years. This is because they are considered to be the most appropriate controllers for lighting systems owing to their generalization of lighting levels settings, simplicity, and auto-control [17]. Based on the presence of the users, daylighting levels, and comfort to the user, a controller using fuzzy logic is designed to vary the lighting.…”
Section: Algorithms and Control Systems For Daylight Harvestingmentioning
confidence: 99%