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Erschienen in:

2020 | OriginalPaper | Buchkapitel

The Study of Raw Water Based on Quality Parameter Using Smell-Print Sensing Device

verfasst von : Suziyanti Zaib, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Nurdiyana Zahed, Muhamad Faruqi Zahari, Nur Farina Hamidon Majid, Mujahid Mohamad, Hadi Manap

Erschienen in: InECCE2019

Verlag: Springer Singapore

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Abstract

Water is a renewable natural resource and comprises about 70% of earth whilst the balance is land. Cleanliness and purity of drinking water is important for human health worldwide, thus it is important to know the water body source content so that consumption of it does not give any risk to human body’s health. This study focuses on establishing a case library profile and classification of water based on recommended by Ministry of Health (MOH). This study water quality parameters such as iron (Fe) and pH is obtained using Electronic nose (E-nose). E-nose is an instrument that mimics human nose that has the ability to sniff in advance for volatile odor. However, colourless and odourless chemical usually undetectable by normal eyes or noses. Case Based Reasoning (CBR) is used in performing the intelligent classification that involved CBR computation, voting and performance measure. The similarity result shows that the technique accomplished to classify with 97.5% accuracy, 88.0% specificity and 92.2% accuracy.

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Titel: The Study of Raw Water Based on Quality Parameter Using Smell-Print Sensing Device
verfasst von: Suziyanti Zaib
Muhammad Sharfi Najib
Suhaimi Mohd Daud
Nurdiyana Zahed
Muhamad Faruqi Zahari
Nur Farina Hamidon Majid
Mujahid Mohamad
Hadi Manap
Verlag: Springer Singapore
Buch: InECCE2019
Print ISBN: 978-981-15-2316-8

Electronic ISBN: 978-981-15-2317-5

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-981-15-2317-5_17