Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration

Toxic gases are very common in industry which can be harmful to living species. This research purpose to monitoring and sustain environment and avoiding pollution and poisoning. The development on monitoring system for ammonia gases is crucial to avoid incident of poisonous air pollutants in commerc...

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Main Authors: Muhamad Faruqi, Zahari, Muhammad Sharfi, Najib, Suhaimi, Mohd Daud, Mujahid, Mohamad, Nur Farina, Hamidon Majid
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/32747/1/E2PEI18001%20MUHAMAD%20FARUQI.pdf
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author Muhamad Faruqi, Zahari
Muhammad Sharfi, Najib
Suhaimi, Mohd Daud
Mujahid, Mohamad
Nur Farina, Hamidon Majid
author_facet Muhamad Faruqi, Zahari
Muhammad Sharfi, Najib
Suhaimi, Mohd Daud
Mujahid, Mohamad
Nur Farina, Hamidon Majid
author_sort Muhamad Faruqi, Zahari
collection UMP
description Toxic gases are very common in industry which can be harmful to living species. This research purpose to monitoring and sustain environment and avoiding pollution and poisoning. The development on monitoring system for ammonia gases is crucial to avoid incident of poisonous air pollutants in commercialized industry. Hence, there is need to introduce simple air quality device to monitor the air pollution. Electronic Nose (E-Nose) is one of the device that can help to monitor this air pollution for the odor-profile gas that been harmful to living species. E-Nose is integrated with intelligent classification which is Case Based Reasoning (CBR) to enhanced the monitoring system. The experimental result shows E-nose that integrated with CBR was accomplished to classify data above than 70% of accuracy and nearly approach 80% of accuracy with 50% of Specificity and sensitivity.
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spelling UMPir327472021-12-08T04:34:58Z http://umpir.ump.edu.my/id/eprint/32747/ Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration Muhamad Faruqi, Zahari Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Nur Farina, Hamidon Majid TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Toxic gases are very common in industry which can be harmful to living species. This research purpose to monitoring and sustain environment and avoiding pollution and poisoning. The development on monitoring system for ammonia gases is crucial to avoid incident of poisonous air pollutants in commercialized industry. Hence, there is need to introduce simple air quality device to monitor the air pollution. Electronic Nose (E-Nose) is one of the device that can help to monitor this air pollution for the odor-profile gas that been harmful to living species. E-Nose is integrated with intelligent classification which is Case Based Reasoning (CBR) to enhanced the monitoring system. The experimental result shows E-nose that integrated with CBR was accomplished to classify data above than 70% of accuracy and nearly approach 80% of accuracy with 50% of Specificity and sensitivity. 2021 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32747/1/E2PEI18001%20MUHAMAD%20FARUQI.pdf Muhamad Faruqi, Zahari and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Nur Farina, Hamidon Majid (2021) Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration. In: The 6th International Conference on Electrical, Control and Computer Engineering (InECCE2021) , 23 August 2021 , Microsoft Team Platforms. pp. 1-13.. (In Press / Online First)
spellingShingle TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
Muhamad Faruqi, Zahari
Muhammad Sharfi, Najib
Suhaimi, Mohd Daud
Mujahid, Mohamad
Nur Farina, Hamidon Majid
Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title_full Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title_fullStr Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title_full_unstemmed Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title_short Performance measure of case based reasoning (CBR) for ammonia in water by specific concentration
title_sort performance measure of case based reasoning cbr for ammonia in water by specific concentration
topic TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/32747/1/E2PEI18001%20MUHAMAD%20FARUQI.pdf
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