Investigation of the particle size-dependent near-infrared spectral features of binary mixture samples in conjunction with Monte Carlo simulation and the influence of particle size on the accuracy of quantitative analysis

The origin of particle size-induced near-infrared (NIR) spectral variation, which is fundamental for robust quantitative analysis, was systematically studied in conjunction with Monte Carlo simulation.

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Analysis of near-infrared spectroscopy and indocyanine green dye dilution with Monte Carlo simulation of light propagation in the adult brain

Journal of Biomedical Optics ◽

10.1117/1.2341652 ◽

2006 ◽

Vol 11 (4) ◽

pp. 044009 ◽

Cited By ~ 16

Author(s):

R. Mudra ◽

A. Nadler ◽

E. Keller ◽

P. Niederer

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Infrared Spectroscopy ◽

Indocyanine Green ◽

Near Infrared Spectroscopy ◽

Light Propagation ◽

Near Infrared ◽

Adult Brain ◽

Dye Dilution ◽

Indocyanine Green Dye

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Interaction between ultra short pulses and a dense scattering medium by Monte Carlo simulation: consideration of particle size effect

Optics Communications ◽

10.1016/s0030-4018(03)01415-9 ◽

2003 ◽

Vol 220 (4-6) ◽

pp. 237-245 ◽

Cited By ~ 12

Author(s):

C Rozé ◽

T Girasole ◽

L Méès ◽

G Gréhan ◽

L Hespel ◽

...

Keyword(s):

Monte Carlo Simulation ◽

Particle Size ◽

Monte Carlo ◽

Size Effect ◽

Particle Size Effect ◽

Scattering Medium ◽

Short Pulses

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Monte-carlo Simulation of Light Propagation considering Characteristic of Near-infrared LED and Evaluation on Tissue Phantom

Procedia CIRP ◽

10.1016/j.procir.2013.01.005 ◽

2013 ◽

Vol 5 ◽

pp. 25-30 ◽

Cited By ~ 10

Author(s):

Sangha Song ◽

Yo Kobayashi ◽

Masakatsu G. Fujie

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Light Propagation ◽

Near Infrared ◽

Tissue Phantom

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A wavelength selection method based on random decision particle swarm optimization with attractor for near-infrared spectral quantitative analysis

Journal of Chemometrics ◽

10.1002/cem.2702 ◽

2015 ◽

Vol 29 (5) ◽

pp. 289-299 ◽

Cited By ~ 7

Author(s):

Hui Cao ◽

Yanxia Wang ◽

Sanchun Yang ◽

Yan Zhou

Keyword(s):

Particle Swarm Optimization ◽

Quantitative Analysis ◽

Near Infrared ◽

Particle Swarm ◽

Selection Method ◽

Wavelength Selection ◽

Swarm Optimization ◽

Infrared Spectral

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Analysis of modern construction projects using montecarlo simulation technique

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.19.14535 ◽

2018 ◽

Vol 7 (2.19) ◽

pp. 41

Author(s):

A. M. Arunmohan ◽

M. Lakshmi

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Quantitative Analysis ◽

Construction Projects ◽

Project Success ◽

Risk Identification ◽

Project Schedule ◽

Montecarlo Simulation ◽

Total Project Cost ◽

Total Project

Today, Construction based Industry is the prospering industry which has a high economical influence on any nation. Delay in the huge construction project increases the total project cost. Henceforth, uncertainties as well as risks must be significantly regarded during the project. For organizing and completing the projects in a financially, timely and qualitatively accountable manner, careful scheduling of projects is compulsory. Effectual scheduling of project assures project success. This study concentrates on qualitative analysis, risk identification, together with quantitative analysis. The targets are i) to ascertain the key risk aspects that disturb the project schedule, and ii) to find the probability of finishing the project within specified time. Questionnaires are distributed amongst 20 industry practitioners with disparate experience from [1] to [25] years. Quantitative analysis is made by the methods like Monte Carlo simulation (MCS) and PERT. @RISK by Palisade corp. is utilized for MCS.

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