N. Dharini1,*, Jeevaa Katiravan2, S. M. Udhaya Sankar3
Computer Systems Science and Engineering, Vol.44, No.1, pp. 249-264, 2023, DOI:10.32604/csse.2023.024419
Abstract This work utilizes a statistical approach of Principal Component Analysis (PCA) towards the detection of Methane (CH4)-Carbon Monoxide (CO) Poisoning occurring in coal mines, forest fires, drainage systems etc. where the CH4 and CO emissions are very high in closed buildings or confined spaces during oxidation processes. Both methane and carbon monoxide are highly toxic, colorless and odorless gases. Both of the gases have their own toxic levels to be detected. But during their combined presence, the toxicity of the either one goes unidentified may be due to their low levels which may lead to an explosion. By using PCA,… More >
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