Evaluation of Stopping Rules for Audiological Ascending Test Procedures Using Computer Simulations

1989 ◽  
Vol 32 (2) ◽  
pp. 265-273 ◽  
Author(s):  
Lynne Marshall ◽  
Thomas E. Hanna

Stopping rules for ascending audiological test procedures were evaluated by Monte Carlo simulation. The stopping rules differed in the minimum number of responses required at a level, whether these responses occurred on half or a majority of the ascending series, and whether all or only the most recent ascending series were considered. For all procedures, shallow psychometric function slopes yielded estimated thresholds closer to the level giving 50% detection than did steeper slopes, which yielded estimated thresholds roughly 2.5 dB above the level corresponding to 50% on the psychometric function. Shallow slopes also resulted in decreased reliability across threshold measurements, an increased number of trials required for threshold estimates, and a higher proportion of measurements that had to be repeated. Stopping rules using a two-response criterion were faster than those using a three-response criterion, with only a small decrease in reliability. Among stopping rules using the same number of responses for criterion, differences were seen primarily in efficiency for shallow slopes, particularly for procedures using a three-response rather than a two-response criterion for stopping. Results from these simulations should be useful to standards groups.

Author(s):  
Kamal A. F. Moustafa ◽  
Samir A. Emam ◽  
Yousef S. Haik

In this study, a numerical simulation using inverse pipeline analysis is conducted for the localization and quantification of leak using minimum number of measurement points of a leaky pipeline. The friction coefficient and leak cross section area were also identified by window marching technique using only the pressure head at one end of the pipeline and the flow rate measurements at the other end of the pipeline. The Monte Carlo simulation approach is applied to identify the pipeline parameters by minimizing an objective function that represents the mismatch between the measured and numerically modeled pipeline variables. The simulation results are able to identify and localize the leak location as well as the friction coefficient and leak across section area. The effect of additive measurement noise on the leak localization accuracy is also investigated.


1997 ◽  
Vol 08 (05) ◽  
pp. 1073-1080 ◽  
Author(s):  
A. R. de Lima ◽  
T. J. P. Penna ◽  
P. M. C. de Oliveira

In this work we present some results from computer simulations of dynamical aspects of drop formation in a leaky faucet. Our results, which agree very well with the experiments, suggest that only a few elements, at the microscopic level, would be necessary to describe the most important features of this system. We were able to set all parameters of the model in terms of real ones. This is an additional advantage with respect to previous theoretical works.


2019 ◽  
Vol 34 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Vladimir Poluzanski ◽  
Aleksandar Zigic ◽  
Dragan Kovacevic ◽  
Bosko Nikolic

This paper presents a novel non-iterative algorithm for charge particle localization in a spark chamber. Its performance is evaluated by computer simulations using the Monte Carlo simulation method and compared with the performance of an appropriate iterative algorithm. It is found that the proposed non-iterative algorithm performs significantly better, is easier to implement and requires less computational resources than the iterative algorithm.


2005 ◽  
Vol 127 (4) ◽  
pp. 768-772 ◽  
Author(s):  
Jie Chen ◽  
Gang Bai ◽  
Zhongmin Shen ◽  
Xiaofeng Li ◽  
David Fulton ◽  
...  

Failures can occur in brushless alternators due to interferences between the moving and stationary parts, called “rub.” Improper design of component target dimensions and tolerances can result in interferences. A method was developed to evaluate the component tolerances that can create interference in a brushless alternator. Mathematic models were created to relate target dimensions to the interferences. Monte Carlo simulation was utilized to statistically evaluate the effects of tolerances on failure rate. This method allows a designer to avoid potential rub failures while still in the design phase. It can also be used to analyze rotary machines of similar designs.


1998 ◽  
Vol 527 ◽  
Author(s):  
L.C. Wei ◽  
E. Lang ◽  
M. Ghaly ◽  
P. Bellon ◽  
R. S. Averback

ABSTRACTThe temperature dependence of disordering of Cu3Au during ion irradiation has been investigated by computer simulations using MONTE CARLO methods. The investigation was motivated by peculiar experimental observations that the initial disordering rate begins to decrease above ~300 K, which can be explained by vacancies just becoming mobile at that temperature, but then at ~ 475 K, it reaches a minimum and then increases rapidly as the temperature is further increased, up to the order-disorder temperature. The present simulation shows that this behavior can be understood in terms of temperatures dependencies in both atomic mixing in the cascade and the efficiency of vacancy annealing of disorder as the vacancies diffuse out of the cascade.


1989 ◽  
Vol 163 ◽  
Author(s):  
U. Schmid ◽  
J. A. Van Vechtent ◽  
N. C. Myers ◽  
U. Koch

AbstractWe have performed large scale computer simulations on the controversial issue of Au diffusion into Si at T = 1095° C. Using a Monte Carlo algorithm and a conveniently parametrized set of parameters, our computer program is capable of working out the macroscopic consequences of a variety of models, i.e. atom level assumptions, in an unbiased way and without the approximations introduced in analytic calculations.When applied to the “kick-out” hypothesis, our results are dramatically at odds with the properties claimed by its proponents. Neither the profile of the Au substitutionals, nor the Au-interstitial profiles are in agreement with the analytically obtained results. The discrepancy becomes most pronounced when comparing the variation with time of the Au concentration in the center of the sample, which we find to be linear at all times, in contrast to the alleged t1/2 behavior. Moreover, the Au profile of a one-sided diffusion never becomes U-shaped, as experimentally observed.


Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.


Author(s):  
D. R. Liu ◽  
S. S. Shinozaki ◽  
R. J. Baird

The epitaxially grown (GaAs)Ge thin film has been arousing much interest because it is one of metastable alloys of III-V compound semiconductors with germanium and a possible candidate in optoelectronic applications. It is important to be able to accurately determine the composition of the film, particularly whether or not the GaAs component is in stoichiometry, but x-ray energy dispersive analysis (EDS) cannot meet this need. The thickness of the film is usually about 0.5-1.5 μm. If Kα peaks are used for quantification, the accelerating voltage must be more than 10 kV in order for these peaks to be excited. Under this voltage, the generation depth of x-ray photons approaches 1 μm, as evidenced by a Monte Carlo simulation and actual x-ray intensity measurement as discussed below. If a lower voltage is used to reduce the generation depth, their L peaks have to be used. But these L peaks actually are merged as one big hump simply because the atomic numbers of these three elements are relatively small and close together, and the EDS energy resolution is limited.


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