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2019 | OriginalPaper | Chapter

Data Analytics for Home Air Quality Monitoring

Authors : Petya Mihaylova, Agata Manolova, Petia Georgieva

Published in: Future Access Enablers for Ubiquitous and Intelligent Infrastructures

Publisher: Springer International Publishing

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Abstract

Modern air quality monitoring systems are characterised by high complexity and costs. The expensive embedded units such as sensor arrays, processors, power blocks, displays and communication units make them less appropriate for small indoor spaces.
In this paper we demonstrate that two widely available, in private houses, sensors (for Humidity and Temperature) are promising alternative, to the expensive indoor air quality solutions, provided with intelligent data processing tools. Our findings suggest that neural network based data analytics system can learn to discriminate unusual indoor gases from normal home air components based only on temperature and humidity measurements.

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Metadata
Title
Data Analytics for Home Air Quality Monitoring
Authors
Petya Mihaylova
Agata Manolova
Petia Georgieva
Copyright Year
2019
Book
Future Access Enablers for Ubiquitous and Intelligent Infrastructures

Print ISBN: 978-3-030-23975-6

Electronic ISBN: 978-3-030-23976-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-23976-3_8

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