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Intelligent Classification Hazardous Gas Using Sensors Array

Muhamad Faruqi Zahari 1, Thommy Anak Julius 1, Fathimah Abdul Halim 1, Muhammad Sharfi Najib 1, 2, Kamarul Hawari Ghazali 1,2, and Abd. Aziz Mohd Azoddein 1,2
1. Faculty of Electrical and Electronic Engineering, University Malaysia Pahang, Pekan, Pahang
2. Faculty of Chemical & Natural Resources Engineering, University Malaysia Pahang, Lebuh Raya TunRazak, Gambang, Pahang

Abstract—This paper presents an environmental pollution monitoring solution using intelligent classification system. Air is one the basic needs for human and other species in our natural ecosystem. Air quality may affect the harmonious ecosystem of human and living species that presence in the surrounding environment. The rapid growth of heavy modern industries is one of the factors that contributes to air quality contamination. A heavy industry such an oil and gas process plant may sometimes involves in unavoidable accident of pipeline leakage that polluting natural air. Hence, there is a need to introduce a scientific air quality classifier based on chemical array sensors. Electronic Nose (E-nose) is one of the chemical-based sensor arrays instruments which has a capability to measure odor-profile based sample data. Several intelligent classification systems can be employed in E-nose. In this work, an intelligent classification system namely Case Based Reasoning (CBR) technique was employed. The experimental results show that the intelligent classification technique using CBR has successfully classified the hazardous gas (butane and hexane) odor-profile with 78.3% rate of accuracy.

Index Terms—CBR, E-nose, hazardous gas, intelligence classification

Cite: Muhamad Faruqi Zahari, Thommy Anak Julius, Fathimah Abdul Halim, Muhammad Sharfi Najib, Kamarul Hawari Ghazali, and Abd. Aziz Mohd Azoddein, "Intelligent Classification Hazardous Gas Using Sensors Array," Vol. 6, No. 4, pp. 233-237, November, 2015. doi: 10.12720/jait.6.4.233-237