Statistical Technique in Gas Dispersion Modeling Based on Linear Interpolation

M. S. Azwan Ramli (Universiti Teknologi Malaysia)
M. Shukri Z.A (Universiti Teknologi Malaysia)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 15, No 2: June 2017

In this paper, we introduced statistical techniques in creating a gas dispersion model in an indoor with a controlled environment. The temperature, air-wind and humidity were constant throughout the experiment. The collected data were then treated as an image; which the pixel size is similar to the total data available for x and y axis. To predict the neighborhood value, linear interpolation technique was implemented. The result of the experiment is significantly applicable in extending the total amount of data if small data is available.