Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems
Taiwan has suffered from widespread haze and poor air quality during recent years, and the control of indoor air quality has become an important topic. This study relies on Multi-Agent theory in which collected air quality was used in calculations and after agents make decisions in accordance with p...
Main Authors: | Shang-Yuan Chen, Cheng-Yen Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/19/5/1206 |
Similar Items
-
Indoor Air Quality in the Metro System in North Taiwan
by: Ying-Yi Chen, et al.
Published: (2016-12-01) -
Relationship between diabetes mellitus and indoor air pollution: An exploratory analysis
by: Sandeep Mishra, et al.
Published: (2020-01-01) -
Modeling the Impact of an Indoor Air Filter on Air Pollution Exposure Reduction and Associated Mortality in Urban Delhi Household
by: Jiawen Liao, et al.
Published: (2019-04-01) -
Evaluation of Indoor Air Quality in Different Hospital Wards by Bioaerosol Sampling and Particle Counting in 2016
by: Ahmad Nikpey, et al.
Published: (2018-05-01) -
EVALUATION OF HOSPITAL WARDS INDOOR AIR QUALITY: THE PARTICLES CONCENTRATION
by: Sana Shokri, et al.
Published: (2016-09-01)