A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions

Chen Yep Fam; Ching Seong Tan

doi:10.1109/STUDENT.2010.5687011

A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Monte Carlo method is well known to solve 3D light scattering problems in complex geometrical condition. The inhomogeneous condition also prohibits the analytical works because scattering direction is totally random and unexpected. It is cost prohibitive to analyze the photon based on its historical data and its photon characteristics experimentally. Therefore, Monte Carlo method allows the light propagation works and analysis become possible with much lower cost and higher accuracy. However, Monte Carlo method is not able to provide satisfactory result when (1) light travels in narrow geometrical condition (such as in optical fiber medium) and (2) attenuation coefficient of medium is extremely small. A novel narrow space weight reduction (NSWR) technique is introduced to improve Monte Carlo method and solve these problems. The simulation results matched the analytical solution calculated by Beer's law favorably.

Original language	English
Title of host publication	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet
Pages	46-49
Number of pages	4
DOIs	https://doi.org/10.1109/STUDENT.2010.5687011
Publication status	Published - 2010
Externally published	Yes
Event	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Kuala Lumpur, Malaysia Duration: 20 Nov 2010 → 21 Nov 2010

Publication series

Name	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet

Conference

Conference	IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	20/11/10 → 21/11/10

Keywords

Monte Carlo
Narrow space
Optical fiber
Variance reduction technique

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/STUDENT.2010.5687011

Cite this

Fam, C. Y., & Tan, C. S. (2010). A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions. In IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet (pp. 46-49). Article 5687011 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet). https://doi.org/10.1109/STUDENT.2010.5687011

Fam, Chen Yep ; Tan, Ching Seong. / A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions. IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. pp. 46-49 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet).

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title = "A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions",

abstract = "Monte Carlo method is well known to solve 3D light scattering problems in complex geometrical condition. The inhomogeneous condition also prohibits the analytical works because scattering direction is totally random and unexpected. It is cost prohibitive to analyze the photon based on its historical data and its photon characteristics experimentally. Therefore, Monte Carlo method allows the light propagation works and analysis become possible with much lower cost and higher accuracy. However, Monte Carlo method is not able to provide satisfactory result when (1) light travels in narrow geometrical condition (such as in optical fiber medium) and (2) attenuation coefficient of medium is extremely small. A novel narrow space weight reduction (NSWR) technique is introduced to improve Monte Carlo method and solve these problems. The simulation results matched the analytical solution calculated by Beer's law favorably.",

keywords = "Monte Carlo, Narrow space, Optical fiber, Variance reduction technique",

author = "Fam, {Chen Yep} and Tan, {Ching Seong}",

year = "2010",

doi = "10.1109/STUDENT.2010.5687011",

language = "English",

isbn = "9781424475032",

series = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet",

pages = "46--49",

booktitle = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet",

note = "IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 ; Conference date: 20-11-2010 Through 21-11-2010",

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Fam, CY & Tan, CS 2010, A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions. in IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet., 5687011, IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet, pp. 46-49, IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010, Kuala Lumpur, Malaysia, 20/11/10. https://doi.org/10.1109/STUDENT.2010.5687011

A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions. / Fam, Chen Yep; Tan, Ching Seong.
IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. p. 46-49 5687011 (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions

AU - Fam, Chen Yep

AU - Tan, Ching Seong

PY - 2010

Y1 - 2010

N2 - Monte Carlo method is well known to solve 3D light scattering problems in complex geometrical condition. The inhomogeneous condition also prohibits the analytical works because scattering direction is totally random and unexpected. It is cost prohibitive to analyze the photon based on its historical data and its photon characteristics experimentally. Therefore, Monte Carlo method allows the light propagation works and analysis become possible with much lower cost and higher accuracy. However, Monte Carlo method is not able to provide satisfactory result when (1) light travels in narrow geometrical condition (such as in optical fiber medium) and (2) attenuation coefficient of medium is extremely small. A novel narrow space weight reduction (NSWR) technique is introduced to improve Monte Carlo method and solve these problems. The simulation results matched the analytical solution calculated by Beer's law favorably.

AB - Monte Carlo method is well known to solve 3D light scattering problems in complex geometrical condition. The inhomogeneous condition also prohibits the analytical works because scattering direction is totally random and unexpected. It is cost prohibitive to analyze the photon based on its historical data and its photon characteristics experimentally. Therefore, Monte Carlo method allows the light propagation works and analysis become possible with much lower cost and higher accuracy. However, Monte Carlo method is not able to provide satisfactory result when (1) light travels in narrow geometrical condition (such as in optical fiber medium) and (2) attenuation coefficient of medium is extremely small. A novel narrow space weight reduction (NSWR) technique is introduced to improve Monte Carlo method and solve these problems. The simulation results matched the analytical solution calculated by Beer's law favorably.

KW - Monte Carlo

KW - Narrow space

KW - Optical fiber

KW - Variance reduction technique

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Fam CY, Tan CS. A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions. In IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet. 2010. p. 46-49. 5687011. (IEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet). doi: 10.1109/STUDENT.2010.5687011

A novel variance reduction technique for Monte Carlo method analysis in narrow space light propagation conditions

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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