Monte Carlo‐fluid hybrid model of the accumulation of dust particles at sheath edges in radio‐frequency discharges

1991 ◽  
Vol 59 (6) ◽  
pp. 638-640 ◽  
Author(s):  
Timothy J. Sommerer ◽  
Michael S. Barnes ◽  
John H. Keller ◽  
Michael J. McCaughey ◽  
Mark J. Kushner
Keyword(s):  
Monte Carlo ◽  
Radio Frequency ◽  
Hybrid Model ◽  
Dust Particles ◽  
Radio Frequency Discharges

scholarly journals A Monte Carlo Method for Low Pressure Radio Frequency Discharges

2003 ◽  
Vol 8 (1) ◽  
pp. 47
Author(s):  
Lahouaria Settaouti ◽  
Abderrahmane Settaouti
Keyword(s):  
Monte Carlo ◽  
Radio Frequency ◽  
Monte Carlo Model ◽  
Light Industry ◽  
Glow Discharges ◽  
Plasma Display ◽  
Microelectronics Industry ◽  
Collision Processes ◽  
Radio Frequency Discharges ◽  
Application Fields

There is increasing interest in glow discharges because of their importance to a large number of application fields, like the microelectronics industry, flat plasma display panel technology, the laser and light industry and analytical spectrochemistry. To improve the capabilities of rf glow discharges, a good understanding of the discharge physics is highly desirable. The typical calculated results include the radio frequency (rf) voltage, the electrical field distribution, the density of argon ions and electrons, the electron energy distribution function and information about the collision processes of the electrons with the Monte Carlo model. These results are presented throughout the discharge axis and as a function of time in the rf cycle. Moreover, we have investigated how many rf cycles have to be followed before a periodic steady state is reached.  

Hybrid approach combining EMD, ARIMA and monte carlo for multi-step ahead medical tourism forecasting

2021 ◽  
pp. 1-17
Author(s):  
Nuzhat Fatema ◽  
H Malik ◽  
Mutia Sobihah Binti Abd Halim
Keyword(s):  
Monte Carlo ◽  
Hybrid Model ◽  
Medical Tourism ◽  
Moving Average ◽  
Hybrid Approach ◽  
Mode Decomposition ◽  
Hybrid Forecasting ◽  
Input Variables ◽  
Intelligent Approach

This paper proposed a hybrid intelligent approach based on empirical mode decomposition (EMD), autoregressive integrated moving average (ARIMA) and Monte Carlo simulation (MCS) methods for multi-step ahead medical tourism (MT) forecasting using explanatory input variables based on two decade real-time recorded database. In the proposed hybrid model, these variables are 1st extracted then medical tourism is forecasted to perform the long term as well as the short term goal and planning in the nation. The multi-step ahead medical tourism is forecasted recursively, by utilizing the 1st forecasted value as the input variable to generate the next forecasting value and this procedure is continued till third step ahead forecasted value. The proposed approach firstly tested and validated by using international tourism arrival (ITA) dataset then proposed approach is implemented for forecasting of medical tourism arrival in nation. In order to validate the performance and accuracy of the proposed hybrid model, a comparative analysis is performed by using Monte Carlo method and the results are compared. Obtained results shows that the proposed hybrid forecasting approach for medical tourism has outperformance characteristics.

A self-consistent fluid model for radio-frequency discharges in SiH4–H2 compared to experiments

1997 ◽  
Vol 82 (5) ◽  
pp. 2060-2071 ◽  
Author(s):  
G. J. Nienhuis ◽  
W. J. Goedheer ◽  
E. A. G. Hamers ◽  
W. G. J. H. M. van Sark ◽  
J. Bezemer
Keyword(s):  
Radio Frequency ◽  
Fluid Model ◽  
Self Consistent ◽  
Radio Frequency Discharges

Excitation in radio-frequency discharges

1963 ◽  
Vol 19 (8) ◽  
pp. 1309-1317 ◽  
Author(s):  
R. Mavrodineanu ◽  
R.C. Hughes
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Discharges
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