Feasibility Study on the Optical Properties of the RENO Detector and a Mock-up Using a Monte Carlo Simulation

2010 ◽  
Vol 60 (8) ◽  
pp. 823-826
Author(s):  
Byoung Chan KIM ◽  
Kyung Kwang JOO*
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Optical Properties ◽  
Feasibility Study

scholarly journals Laser optoacoustic imaging of turbid media: determination of optical properties by comparison with diffusion theory and Monte Carlo simulation

1996 ◽  
Author(s):  
Alexander A. Oraevsky ◽  
Rinat O. Esenaliev ◽  
Frank K. Tittel ◽  
Martin R. Ostermeyer ◽  
Lihong V. Wang ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Optical Properties ◽  
Diffusion Theory ◽  
Turbid Media ◽  
Optoacoustic Imaging

Driver Differentiation With Seat Settings: Part II—Feasibility Study for US Household

2010 ◽  
Author(s):  
Carol Flannagan ◽  
Shih-Ken Chen ◽  
Bakhtiar Litkouhi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Feasibility Study ◽  
Initial Conditions ◽  
Population Variability ◽  
Driver Identification

The addition of user-customizable features to automobiles increases the need to differentiate among drivers so that each driver’s custom settings can be automatically applied. Part 1 of this study modeled driver component positioning as a function of the stature difference between sharing drivers. To fully understand the feasibility of this approach to driver identification, we need to model the distribution of stature differences in the population of sharing drivers. Monte Carlo simulation is used to simulate both population variability in stature and positioning and the effect of initial conditions on positioning are included. The simulation of 10,000 households showed that for 87% of target pairs, differentiation performance of fewer than 2% errors can be achieved, even when the drivers share a vehicle equally (the most difficult differentiation scenario).

Photodynamic therapy of deep tissue abscess cavities: Retrospective image‐based feasibility study using Monte Carlo simulation

2019 ◽  
Vol 46 (7) ◽  
pp. 3259-3267 ◽  
Author(s):  
Timothy M. Baran ◽  
Hyun W. Choi ◽  
Mattison J. Flakus ◽  
Ashwani K. Sharma
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Photodynamic Therapy ◽  
Feasibility Study ◽  
Deep Tissue

Lidar Remote Sensing of Seawater Optical Properties: Experiment and Monte Carlo Simulation

2019 ◽  
Vol 57 (11) ◽  
pp. 9489-9498 ◽  
Author(s):  
Dong Liu ◽  
Peng Chen ◽  
Haochi Che ◽  
Zhipeng Liu ◽  
Qun Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Optical Properties
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