Fuzzy logic predictive method for indoor environment parametric dataset

An environment becomes polluted and contaminated because of excessive construction which taking places in several urban area and this affects the overall air quality index. Indoor air quality index seems much poor than outdoor air quality index because contaminated gases trapped within indoor enviro...

Full description

Saved in:
Bibliographic Details
Main Authors: Ramachandran, Thinaharan, Perumal, Thinagaran, Boursier, Patrice
Format: Conference or Workshop Item
Language:English
Published: IEEE 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64643/1/Fuzzy%20logic%20predictive%20method%20for%20indoor%20environment%20parametric%20dataset.pdf
http://psasir.upm.edu.my/id/eprint/64643/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.64643
record_format eprints
spelling my.upm.eprints.646432018-08-13T03:16:27Z http://psasir.upm.edu.my/id/eprint/64643/ Fuzzy logic predictive method for indoor environment parametric dataset Ramachandran, Thinaharan Perumal, Thinagaran Boursier, Patrice An environment becomes polluted and contaminated because of excessive construction which taking places in several urban area and this affects the overall air quality index. Indoor air quality index seems much poor than outdoor air quality index because contaminated gases trapped within indoor environment. This research implements the fuzzy logic method to predict ambient temperature of indoor office environment. The temperature data collected previously used as default point of reference for predicting the temperature of the next day. Temperature prediction is necessary to maintain good health from contiguous disease. The research prototype uses the IEEE 802.14.5 wireless device to send temperature data to remote base station. The standard deviation and mean show the correlation between all the collected data. The temperature data is harvested from three different zones in an office for five consecutive days to predict the temperature. As a result, fuzzy logic predicts expectedly for a small dataset but alternative approach needed for a larger dataset, preferably machine learning will be a good choice in cloud service for predicting indoor environment. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64643/1/Fuzzy%20logic%20predictive%20method%20for%20indoor%20environment%20parametric%20dataset.pdf Ramachandran, Thinaharan and Perumal, Thinagaran and Boursier, Patrice (2017) Fuzzy logic predictive method for indoor environment parametric dataset. In: 2017 IEEE 21st International Symposium on Electronics (ISCE 2017), 14-15 Nov. 2017, Universiti Putra Malaysia. (pp. 50-51). 10.1109/ISCE.2017.8355545
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description An environment becomes polluted and contaminated because of excessive construction which taking places in several urban area and this affects the overall air quality index. Indoor air quality index seems much poor than outdoor air quality index because contaminated gases trapped within indoor environment. This research implements the fuzzy logic method to predict ambient temperature of indoor office environment. The temperature data collected previously used as default point of reference for predicting the temperature of the next day. Temperature prediction is necessary to maintain good health from contiguous disease. The research prototype uses the IEEE 802.14.5 wireless device to send temperature data to remote base station. The standard deviation and mean show the correlation between all the collected data. The temperature data is harvested from three different zones in an office for five consecutive days to predict the temperature. As a result, fuzzy logic predicts expectedly for a small dataset but alternative approach needed for a larger dataset, preferably machine learning will be a good choice in cloud service for predicting indoor environment.
format Conference or Workshop Item
author Ramachandran, Thinaharan
Perumal, Thinagaran
Boursier, Patrice
spellingShingle Ramachandran, Thinaharan
Perumal, Thinagaran
Boursier, Patrice
Fuzzy logic predictive method for indoor environment parametric dataset
author_facet Ramachandran, Thinaharan
Perumal, Thinagaran
Boursier, Patrice
author_sort Ramachandran, Thinaharan
title Fuzzy logic predictive method for indoor environment parametric dataset
title_short Fuzzy logic predictive method for indoor environment parametric dataset
title_full Fuzzy logic predictive method for indoor environment parametric dataset
title_fullStr Fuzzy logic predictive method for indoor environment parametric dataset
title_full_unstemmed Fuzzy logic predictive method for indoor environment parametric dataset
title_sort fuzzy logic predictive method for indoor environment parametric dataset
publisher IEEE
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/64643/1/Fuzzy%20logic%20predictive%20method%20for%20indoor%20environment%20parametric%20dataset.pdf
http://psasir.upm.edu.my/id/eprint/64643/
_version_ 1643838082669084672
score 13.211869