2013
DOI: 10.3390/s131216915
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Design and Implementation of a Smart LED Lighting System Using a Self Adaptive Weighted Data Fusion Algorithm

Abstract: This work aims to develop a smart LED lighting system, which is remotely controlled by Android apps via handheld devices, e.g., smartphones, tablets, and so forth. The status of energy use is reflected by readings displayed on a handheld device, and it is treated as a criterion in the lighting mode design of a system. A multimeter, a wireless light dimmer, an IR learning remote module, etc. are connected to a server by means of RS 232/485 and a human computer interface on a touch screen. The wireless data comm… Show more

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Cited by 39 publications
(26 citation statements)
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“…The data received will be saved in the csv file in the memory card of the mobile phone [8]. This work is different from a previous study that applied Wi-Fi for smart LED monitoring which is limited to area with wide are network facility [9].…”
Section: Results and Analysismentioning
confidence: 99%
“…The data received will be saved in the csv file in the memory card of the mobile phone [8]. This work is different from a previous study that applied Wi-Fi for smart LED monitoring which is limited to area with wide are network facility [9].…”
Section: Results and Analysismentioning
confidence: 99%
“…Light emitting diodes (LEDs) offer considerable advantages over conventional light sources including modest power consumption, high luminosity, long lifespans, miniaturization, portability, and low cost and as a result, are extensively applied in lighting, sensing, displays, and optical communication systems . Conformal epoxy and silicone coatings on LEDs, which are typically employed to serve both as protective sheaths and diffusers, suppress total internal reflection and in this way, enhance the external quantum efficiency (EQE) of emission.…”
Section: Introductionmentioning
confidence: 99%
“…Demand for the development and management of smart LED technology has continued to increase. Sung and Lin (2013) proposed the design and implementation of smart LED systems using self-adaptive weighted data fusion [16]. They developed a smart LED system controlled by smart devices.…”
Section: Introductionmentioning
confidence: 99%