Sensors, Vol. 18, Pages 4380: Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System
Sensors, Vol. 18, Pages 4380: Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System
Sensors doi: 10.3390/s18124380
Authors:
Kemal Maulana Alhasa
Mohd Shahrul Mohd Nadzir
Popoola Olalekan
Mohd Talib Latif
Yusri Yusup
Mohammad Rashed Iqbal Faruque
Fatimah Ahamad
Haris Hafizal Abd. Hamid
Kadaruddin Aiyub
Sawal Hamid Md Ali
Md Firoz Khan
Azizan Abu Samah
Imran Yusuff
Murnira Othman
Tengku Mohd Farid Tengku Hassim
Nor Eliani Ezani
Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. However, these techniques have high costs associated with both installation and maintenance. One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. In this paper, we present DiracSense, a custom-made LAQS that monitors the gas pollutants ozone (O3), nitrogen dioxide (NO2), and carbon monoxide (CO). The aim of this study is to investigate its performance based on laboratory calibration and field experiments. Several model calibrations were developed to improve the accuracy and performance of the LAQS. Laboratory calibrations were carried out to determine the zero offset and sensitivities of each sensor. The results showed that the sensor performed with...
Source: Sensors - Category: Biotechnology Authors: Kemal Maulana Alhasa Mohd Shahrul Mohd Nadzir Popoola Olalekan Mohd Talib Latif Yusri Yusup Mohammad Rashed Iqbal Faruque Fatimah Ahamad Haris Hafizal Abd. Hamid Kadaruddin Aiyub Sawal Hamid Md Ali Md Firoz Khan Azizan Abu Samah Imran Yusuff Murnira Othma Tags: Article Source Type: research
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