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A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms

Authors: Wendoly J. Gpe. Romero-Rodríguez; Rosario Baltazar; Juan Martín Carpio Valadez; Héctor Puga; Víctor Zamudio; Juan F. Mosiño; Marco Aurelio Sotelo-Figueroa;

A novel model for optimization of Intelligent Multi-User Visual Comfort System based on soft-computing algorithms

Abstract

Intelligent buildings are at the forefront due to its main objective of providing comfort to users and saving energy through intelligent control systems. Intelligent systems have been reported to offer comfort to a single user or averaging the comfort of multiple users without considering that their needs may be different from those of other users. This work defines a versatile model for a multi-user intelligent system that negotiates with the resources of the environment to offer visual comfort to multiple users with different profiles, activities and priorities using soft-computing algorithms. In addition, this model makes use of external lighting to provide the recommended amount of illumination for each user without having to totally depend on artificial lighting, inducing there will be an energy efficiency but without measuring it.

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    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
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