Multi-wavelength diffusive optical tomography using independent component analysis and time reversal algorithms

2011 ◽  
Author(s):  
M. Alrubaiee ◽  
Binlin Wu ◽  
M. Xu ◽  
W. Cai ◽  
J. A. Koutcher ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Time Reversal ◽  
Optical Tomography ◽  
Component Analysis ◽  
Independent Component ◽  
Multi Wavelength

Application of Optical Tomography for Monitoring Gas Bubbles Flow Based on Independent Component Analysis Algorithm

2015 ◽  
Vol 73 (3) ◽  
Author(s):  
Mohd Taufiq Mohd Khairi ◽  
Sallehuddin Ibrahim ◽  
Mohd Amri Md Yunus ◽  
Mahdi Faramarzia ◽  
Nor Muzakkir Nor Ayub
Keyword(s):  
Independent Component Analysis ◽  
Phase Distribution ◽  
Pure Water ◽  
Optical Tomography ◽  
Gas Bubbles ◽  
Component Analysis ◽  
Independent Component ◽  
Bubble Flow ◽  
Two Phase ◽  
Ica Algorithm

This paper presents the monitoring process of gas bubbles flow in water using an optical tomography system. The system is aided by an Independent Component Analysis (ICA) algorithm for distinguishing the gas bubbles in pure water. The optical attenuation model is implemented for studying the light transmissions to different media which is water and air. Several quantities of air are inserted using an air pump which is installed at the bottom of a flow pipe in order to produce the gas bubbles flow upwards. The quantity of air is controlled by using a valve and five types of bubble flow are investigated; a single bubble flow, double bubble’s flow, 25% of air opening, 50% of air opening and 100% of air opening. The concentration profiles of the gas bubble flow are constructed. The concentration profile obtained from the experiments shows that the ICA algorithm can be used as a tool for imaging the two-phase flow phase distribution.     

scholarly journals Gas Bubbles Investigation in Contaminated Water Using Optical Tomography Based on Independent Component Analysis Method

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Mohd Taufiq Mohd Khairi ◽  
Sallehuddin Ibrahim ◽  
Mohd Amri Md Yunus ◽  
Mahdi Faramarzi
Keyword(s):  
Independent Component Analysis ◽  
Gas Flow ◽  
Pure Water ◽  
Optical Tomography ◽  
Gas Bubbles ◽  
Component Analysis ◽  
Independent Component ◽  
Contaminated Water ◽  
Bubble Flow ◽  
Concentration Profiles

This paper presents the results of concentration profiles for gas bubble flow in a vertical pipeline containing contaminated water using an optical tomography system. The concentration profiles for the bubble flow quantities are investigated under five different flows conditions, a single bubble, double bubbles, 25% of air opening, 50% of air opening, and 100% of air opening flow rates where a valve is used to control the gas flow in the vertical pipeline. The system is aided by the independent component analysis (ICA) algorithm to reconstruct the concentration profiles of the liquid-gas flow. The behaviour of the gas bubbles was investigated in contaminated water in which the water sample was prepared by adding 25 mL of colour ingredients to 3 liters of pure water. The result shows that the application of ICA has enabled the system to detect the presence of gas bubbles in contaminated water. This information provides vital information on the flow inside the pipe and hence could be very significant in increasing the efficiency of the process industries.

scholarly journals SINGLE-ANTENNA TIME-REVERSAL IMAGING BASED ON INDEPENDENT COMPONENT ANALYSIS

2015 ◽  
Vol 44 ◽  
pp. 47-58
Author(s):  
Payman Rasekh ◽  
Mojtaba Razavian ◽  
Amir Torki ◽  
Hossein Khalili Rad ◽  
Reza Safian
Keyword(s):  
Independent Component Analysis ◽  
Time Reversal ◽  
Component Analysis ◽  
Independent Component ◽  
Single Antenna
Sign in / Sign up

Export Citation Format

Share Document