scholarly journals MODELING AND OPTIMIZATION OF PARALLEL INFORMATION SEARCHING IN FILES

2014 ◽  
pp. 24-32
Author(s):  
Volodymyr Lisovets ◽  
Hryhoriy Tsehelyk
Keyword(s):  
Probability Distribution ◽  
Mathematical Expectation ◽  
Optimal Strategies ◽  
External Memory ◽  
Distribution Law ◽  
Information Searching ◽  
Parallel Method ◽  
Searching Method ◽  
Made In ◽  
Multiprocessing System

In this article the m-parallel method of sequential field searching and two variants of m-parallel block field searching method are offered. These methods are oriented to be used in multiprocessing system for information searching in files of database. We research the effectiveness of these methods for different probability distribution law of field access. The mathematical expectation of number of parallel comparisons necessary for field searching in files is taken as a criterion of effectiveness. The effectiveness of the methods is compared and analyzed. The best of offered methods is founded for every considered probability distribution. Optimal strategies of field searching in sequenced files stored in external memory of multiprocessing system are made. In this case the mathematical expectation of total time needed for field searching in files is taken as a criterion of effectiveness.

scholarly journals Research into the 3d roughness of a rough surface

2014 ◽  
Vol 51 (1) ◽  
pp. 62-73
Author(s):  
A. Avisane ◽  
J. Rudzitis ◽  
G. Springis
Keyword(s):  
Probability Distribution ◽  
Random Field ◽  
Normal Distribution ◽  
Mathematical Expectation ◽  
Peak Height ◽  
Contact Theory ◽  
Distribution Law ◽  
Distribution Laws ◽  
Deformation Level

Abstract One of the most important parameters in determination of the deformation associated with roughness is its height on the surface. The authors study the density of probability distribution as related to the surface peak height (SPH) and estimate the mathematical expectation (ME) of SPH for the roughness values above a determined deformation level. In the contact theory, the surface is modelled as a normal random field described by the Nayak SPH formula. Since this formula is practically inapplicable in the engineering tasks, the authors propose to replace it by a simpler distribution law. For this purpose the former is compared with two other formulas obeying the most known probability distribution laws: of normal distribution (Gauss’) law and Rayleigh’s law. Comparison of these three formulas made it possible to derive a simpler yet sufficiently precise one. In the work, the numerical values of the density of SPH probability distribution and the relevant ME values at different deformation levels for all three formulas.

scholarly journals Probability Characteristics, Area Reduction, and Wind Directionality Effects of Extreme Pressure Coefficients of High-Rise Buildings

2021 ◽  
Vol 11 (15) ◽  
pp. 7121
Author(s):  
Shouke Li ◽  
Feipeng Xiao ◽  
Yunfeng Zou ◽  
Shouying Li ◽  
Shucheng Yang ◽  
...  
Keyword(s):  
Probability Distribution ◽  
Pressure Coefficient ◽  
Wind Pressure ◽  
Extreme Pressure ◽  
Distribution Law ◽  
Distribution Fitting ◽  
Pressure Coefficients ◽  
High Rise ◽  
Area Reduction ◽  
The Mean

Wind tunnel tests are carried out for the Commonwealth Advisory Aeronautical Research Council (CAARC) high-rise building with a scale of 1:400 in exposure categories D. The distribution law of extreme pressure coefficients under different conditions is studied. Probability distribution fitting is performed on the measured area-averaged extreme pressure coefficients. The general extreme value (GEV) distribution is preferred for probability distribution fitting of extreme pressure coefficients. From the comparison between the area-averaged coefficients and the value from GB50009-2012, it is indicated that the wind load coefficients from GB50009-2012 may be non-conservative for the CAARC building. The area reduction effect on the extreme wind pressure is smaller than that on the mean wind pressure from the code. The recommended formula of the area reduction factor for the extreme pressure coefficient is proposed in this study. It is found that the mean and the coefficient of variation (COV) for the directionality factors are 0.85 and 0.04, respectively, when the orientation of the building is given. If the uniform distribution is given for the building’s orientation, the mean value of the directionality factors is 0.88, which is close to the directionality factor of 0.90 given in the Chinese specifications.

Probability Model of Corrosion Initiation Time of Steel in Concrete Structure in Chloride Environment

2011 ◽  
Vol 243-249 ◽  
pp. 5632-5636
Author(s):  
Ya Li Ma ◽  
Ai Lin Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Probability Distribution ◽  
Probability Model ◽  
Chloride Concentration ◽  
Initiation Time ◽  
Distribution Law ◽  
Corrosion Initiation ◽  
Corrosion Initiation Time ◽  
Chloride Environment ◽  
Distribution Type

Probability distribution law of corrosion initiation time of steel in concrete under chloride environment is discussed. Based on the Fick’s second law, by Monte Carlo, frequency distribution, distribution type and probability density is analyzed. The statistic parameters of the factors influencing the probability distribution of corrosion initiation time are studied and the expression for sensitivity analysis of corrosion initiation time is deduced. By sensitivity analysis can know, corrosion initiation time is found to be more sensitive to cover than the diffusion coefficient, and more sensitive to surface chloride concentration than the critical chloride level. The analysis of the paper perfects the methods of predicting the corrosion initiation time.

scholarly journals Conceptual features of the French military song discourse (corpus-based study)

2020 ◽  
Vol 18 (2) ◽  
pp. 13-27
Author(s):  
Evgeniya A. Solovyeva
Keyword(s):  
Probability Distribution ◽  
Conceptual Structure ◽  
Contextual Analysis ◽  
Distribution Law ◽  
Military Discourse ◽  
French Military ◽  
Key Concepts ◽  
Integral Element ◽  
The Military ◽  
Selection Of

This paper presents a corpus-based empirical research, which uncovers the key concepts structuring the French military song discourse. We view this type of discourse as an integral element of military discourse containing institutional and non-institutional segments. The actualization of statutory relationships is the most striking example of institutionalization. Therefore, we have started our research from the hypothesis that the officially regulated (statutory) and less regulated parts of the military song discourse may manifest some conceptual differences. The selection of this subject is determined by its contribution to understanding the French military's cultural peculiarities, as well as by the lack of exploitations regarding the French military song discourse. Within the contemporary cognitive paradigm, the designatum is regarded as a pointer to the concept, which allows grasping a concept globally, without reconstructing its elements. Thus, the analysis of lexemes frequency may serve to identify the inherent concepts structuring some kind of discourse. Using a freely distributed textometric platform TXM (version 0.7.9), we have created a linguistic corpus of 462 texts of French service songs totaling 88305 tokens. Then, we have divided our corpus into two parts, depending on the statutory belonging of the texts. The statistical scores were calculated by applying the hypergeometric probability distribution law. The analysis of statistically significant lemmas has permitted to draw the lexical profile of each part and to identify thereby the most specific concepts. Moreover, we have complemented our research by routine frequency and contextual analysis in order to reveal the additional basic background concepts. Our study leads us to the conclusion that the French military song discourse foregrounds 8 main concepts, but the conceptual structure of each part reveals some differences due to the specifics of the institutional requirements and the military ethos.

scholarly journals ANALYSIS OF ELECTRICAL LOAD SCHEDULES OF 10/0.4 KV TRANSFORMER SUBSTATIONS OF RESIDENTIAL AREAS FOR THE IDENTIFICATION OF STATIONARITY PLOTS

2021 ◽  
pp. 96-101
Author(s):  
Iryna Shcherbak ◽  
Yuliia Kovalova ◽  
Volodymyr Korobka
Keyword(s):  
Autocorrelation Function ◽  
Mathematical Expectation ◽  
Reactive Power ◽  
Least Squares Method ◽  
Electrical Load ◽  
Residential Areas ◽  
Distribution Law ◽  
Random Load ◽  
Constant Variance ◽  
Student’S T

It is proposed on the electrical load graphs of transformer substations 10/0.4 kV in residential areas to allocate the stationarity areas for further modelling of load schedules and the implementation of controlling influences on the modes of consumers-regulators in order to align the overall graph of the electrical load. The relevance and complexity of the problem under consideration is caused by the fact that the load variation of transformer substations 10/0.4 kV in residential areas occurs randomly. This is due to the significant number, nomenclature and diversity of types of connected consumers, as well as the lack of deterministic connections between consumers of electricity, in addition, the random load function in the daily interval is non-stationary. In this regard, there was a need to develop the stages of selecting the areas of stationarity on the electrical load graphs of transformer substations 10/0.4 kV of residential areas. A measurement of the load graphs of 10/0,4 kV transformer substations is carried out, according to the results of which the distribution law of active and reactive power measurements is investigated. After confirming the hypothesis of normal distribution law, parametric tests are performed. Fisher's F-criterion is used to confirm the hypothesis of a constant variance, and Student's t-criterion is used to confirm the hypothesis of a constant mathematical expectation. The next stage, based on constancy of the variance and mathematical expectation, is the determination of autocorrelation coefficients of the studied random function and plotting of the autocorrelation function. To approximate the function the autocorrelation coefficients are determined by the least squares method and the autocorrelation function attenuation analysis is performed. The implementation of the defined stages allows to identify the areas of stationarity on the load graphs of transformer substations 10/0.4 kV. For a reliable description of the process of changing the load of transformer substations 10/0.4 kV the use of probabilistic-statistical method of modelling is justified that takes into account the stochastic nature of the load changes on the selected areas of stationarity.

Mixture of Two LindleyProbability Models And Application In Reliability

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Ehtesham Husain ◽  
Masood Ul Haq
Keyword(s):  
Distribution Function ◽  
Probability Distribution ◽  
Mixture Model ◽  
Mathematical Expectation ◽  
Probability Distributions ◽  
Reliability Function ◽  
Probability Models ◽  
Probability Functions ◽  
Two Component ◽  
In Series

<span>Mixture probability models are developed in general<br /><span>from Uni variate Probability functions (say)<br /><span><em>g</em><span>1 <span>(<span><em>x</em><span>) <span><em>and g</em><span>2 <span>(<span><em>x</em><span>) <span>. The mixture of these two is defined by<br /><span><em>f</em><span>(<span><em>x</em><span>)  <span><em>p</em><span>.<span><em>g</em><span>1 <span>(<span><em>x</em><span>)  (1  <span><em>p</em><span>) <span><em>g</em><span>2 <span>(<span><em>x</em><span>) <span>where “p” is the mixing<br /><span>ratio. The function that we have in the present paper is the<br /><span>Mixture of two Lindley probability distributions, each of<br /><span>which is having a different parameter. Lindley models are<br /><span>also useful for data showing decaying trends. The properties<br /><span>of Lindley probability distribution that have been shown<br /><span>are Mathematical Expectation, Second Moment, and the<br /><span>Distribution Function. An application of the Mixture Model<br /><span>which has been derived in the present research , has been<br /><span>applied to the Reliability function , in a two component<br /><span>system , when the components are connected in series. The<br /><span>Reliability of the discussed system is compared with<br /><span>reliability values when the Lindley probabilities in the same<br /><span>system , are independent.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span>

scholarly journals The stochastic quantization method and its application to the numerical simulation of volcanic conduit dynamics under random conditions

2010 ◽  
Vol 2 (1) ◽  
pp. 43-67
Author(s):  
E. Peruzzo ◽  
M. Barsanti ◽  
F. Flandoli ◽  
P. Papale
Keyword(s):  
Numerical Simulation ◽  
Probability Distribution ◽  
Numerical Simulations ◽  
Stochastic Quantization ◽  
Quantization Method ◽  
Benchmark Test ◽  
Magma Flow ◽  
One Dimensional ◽  
Volcanic Conduit ◽  
Made In

Abstract. Stochastic Quantization (SQ) is a method for the approximation of a continuous probability distribution with a discrete one. The proposal made in this paper is to apply this technique to reduce the number of numerical simulations for systems with uncertain inputs, when estimates of the output distribution are needed. This question is relevant in volcanology, where realistic simulations are very expensive and uncertainty is always present. We show the results of a benchmark test based on a one-dimensional steady model of magma flow in a volcanic conduit.

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