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Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)

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Main Authors: Shaharil, Mad Saad, Allan Melvin, Andrew, Ali Yeon, Md Shakaff, Abdul Rahman, Mohd Saad, Azman, Muhamad Yusof @ Kamarudin, Ammar, Zakaria
Other Authors: shaharil85@gmail.com
Format: Article
Language:English
Published: MDPI AG 2020
Subjects:
Indoor air quality
Artificial neural network (ANN)
Pattern recognition
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68594
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spelling my.unimap-685942020-11-03T01:19:22Z Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN) Shaharil, Mad Saad Allan Melvin, Andrew Ali Yeon, Md Shakaff Abdul Rahman, Mohd Saad Azman, Muhamad Yusof @ Kamarudin Ammar, Zakaria shaharil85@gmail.com Indoor air quality Artificial neural network (ANN) Pattern recognition Link to publisher's homepage at https://www.mdpi.com/journal/sensors Monitoring indoor air quality (IAQ) is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, in this paper, an IAQ monitoring system has been proposed with a newly added feature which enables the system to identify the sources influencing the level of IAQ. In order to achieve this, the data collected has been trained with artificial neural network or ANN—a proven method for pattern recognition. Basically, the proposed system consists of sensor module cloud (SMC), base station and service-oriented client. The SMC contain collections of sensor modules that measure the air quality data and transmit the captured data to base station through wireless network. The IAQ monitoring system is also equipped with IAQ Index and thermal comfort index which could tell the users about the room’s conditions. The results showed that the system is able to measure the level of air quality and successfully classify the sources influencing IAQ in various environments like ambient air, chemical presence, fragrance presence, foods and beverages and human activity. 2020-11-03T01:19:22Z 2020-11-03T01:19:22Z 2015 Article Sensors, vol.15, 2015, pages 1665-11684 1424-8220 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68594 en MDPI AG
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Indoor air quality
Artificial neural network (ANN)
Pattern recognition
spellingShingle Indoor air quality
Artificial neural network (ANN)
Pattern recognition
Shaharil, Mad Saad
Allan Melvin, Andrew
Ali Yeon, Md Shakaff
Abdul Rahman, Mohd Saad
Azman, Muhamad Yusof @ Kamarudin
Ammar, Zakaria
Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
description Link to publisher's homepage at https://www.mdpi.com/journal/sensors
author2 shaharil85@gmail.com
author_facet shaharil85@gmail.com
Shaharil, Mad Saad
Allan Melvin, Andrew
Ali Yeon, Md Shakaff
Abdul Rahman, Mohd Saad
Azman, Muhamad Yusof @ Kamarudin
Ammar, Zakaria
format Article
author Shaharil, Mad Saad
Allan Melvin, Andrew
Ali Yeon, Md Shakaff
Abdul Rahman, Mohd Saad
Azman, Muhamad Yusof @ Kamarudin
Ammar, Zakaria
author_sort Shaharil, Mad Saad
title Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
title_short Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
title_full Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
title_fullStr Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
title_full_unstemmed Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
title_sort classifying sources influencing indoor air quality (iaq) using artificial neural network (ann)
publisher MDPI AG
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68594
_version_ 1698698476122013696
score 13.222552

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