Combined ICA and FCA Schemes for a Hierarchical Network

Huang, Jun Ping; Mar, Jeich

doi:10.1023/b:wire.0000015380.01332.fc

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…The method is different from the Principle Component Analysis (PCA) method where PCA is focused in finding the principle components which consist of linear combination of the observed variables, whereas ICA is concerned with discovering the independent components from the observed variables [16]. ICA has been applied in many areas such as telecommunications [17], image processing [18], gas-liquid phase separation in tomography [14], and biomedical applications [19]. A simple example on the application of ICA is shown in Figure 4.…”

Section: Water With Gas Bubblementioning

confidence: 99%

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

Khairi

Ibrahim

Yunus

et al. 2016

International Journal of Optics

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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.

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Section: Water With Gas Bubblementioning

confidence: 99%

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

Khairi

Ibrahim

Yunus

et al. 2016

International Journal of Optics

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

Khairi

Ibrahim²,

Yunus³

et al. 2015

Jurnal Teknologi

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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.

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Introduction: Independent Component Analysis

Naik¹

2012

Independent Component Analysis for Audio and Biosignal Applications

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Combined ICA and FCA Schemes for a Hierarchical Network

Cited by 3 publications

References 12 publications

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

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

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

Introduction: Independent Component Analysis

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