Paper Info
Title
PMV calculation and intelligent control algorithm for location-based human adaptive air-conditioner
Abstract
If an appliance perceives the location or health condition of a resident in the smart home, it can provide more intelligent service actively. Thus, residents manually control the air conditioning in a passive service environment, whereas a location-based human-adaptive air conditioner autonomously regulates the temperature in a smart home according to residents' patterns of living or health status. This research is focused on developing a human-adaptive air conditioner that functions by measuring human factors with a non-terminal-based indoor positioning system, to provide high-quality intelligent service. In this paper, the feasibility of the design is evaluated experimentally on a test bed, using a pyroelectric infrared sensor-based location-aware system (PILAS) as the positioning system.
Year
DOI
Venue
2013
10.1109/GCCE.2013.6664831
GCCE
Keywords
Field
DocType
adaptive control,air conditioning,home automation,intelligent control,position control,temperature control,pilas,pmv calculation,high-quality intelligent service,intelligent control algorithm,location-based human adaptive air-conditioner,nonterminal-based indoor positioning system,passive service environment,pyroelectric infrared sensor-based location-aware system,smart home,human-adaptive air conditioner,indoor positioning system,metabolic rate,physical activity,pyroelectric infrared sensor-based location-aware system (pilas)
Intelligent control,Air conditioning,Computer science,Temperature control,Home automation,Real-time computing,Adaptive control,Indoor positioning system,Positioning system,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4799-0890-5
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Ju-Kyung Lee100.34
Suk Lee29510.38
Hyunhee Kim3345.51
Kyung Chang Lee420421.74