Equivalent relation for wave theory of the Gunn diode using the negative mobility and the distribution function model

1966 ◽  
Vol 54 (8) ◽  
pp. 1076-1077
Author(s):  
Y. Suematsu ◽  
Y. Nishimura
Keyword(s):  
Distribution Function ◽  
Wave Theory ◽  
Gunn Diode ◽  
Function Model ◽  
Equivalent Relation

A bidirectional reflectance distribution function model of space targets in visible spectrum based on GA-BP network

2020 ◽  
Vol 126 (6) ◽  
Author(s):  
Yuying Liu ◽  
Jingjing Dai ◽  
Sisi Zhao ◽  
Jinghao Zhang ◽  
Tong Li ◽  
...  
Keyword(s):  
Distribution Function ◽  
Visible Spectrum ◽  
Bidirectional Reflectance Distribution Function ◽  
Bidirectional Reflectance ◽  
Function Model ◽  
Bp Network ◽  
Bidirectional Reflectance Distribution

A Statistical Adaptable Distribution Function Model for Low Probabilities of Failure

1993 ◽  
Author(s):  
Suryaji R. Bhonsle ◽  
Paul Thompson
Keyword(s):  
Experimental Data ◽  
Distribution Function ◽  
Experimental Results ◽  
Function Model ◽  
Log Normal ◽  
Function Models

Abstract Weibull, log normal, and some other Distribution function models (D.F.M.) have a tendency to deviate from experimental results. This deviation, either exceedingly conservative or nonconservative, is amplified at low probabilities of failure. To remedy such problems a new D.F.M. is derived. It is then used to predict low probabilities of failure. The predictions are consistent with experimental data and are not too conservative or too nonconservative.

scholarly journals A New Opacity-Sampling Model Atmosphere Program for Arbitrary Abundances

1993 ◽  
Vol 138 ◽  
pp. 87-97 ◽  
Author(s):  
Robert L. Kurucz
Keyword(s):  
Distribution Function ◽  
Energy Level ◽  
Lower Energy ◽  
Van Der Waals ◽  
Model Atmosphere ◽  
Function Model ◽  
Elemental Abundances ◽  
Lower Energy Level ◽  
Molecular Lines ◽  
Ap Stars

AbstractI have developed a new version of my model atmosphere program called ATLAS12. It recognizes more than 1000 species, each in up to 10 isotopic forms, including all ions of the elements up through Zn and the first 5 ions of heavier elements up through Es. The elemental abundances are treated as variable with depth. ATLAS12 has 6 input files of line data containing 58,000,000 atomic and molecular lines. For each line the wavelength, identification, lower energy level, gf, radiative, Stark, and van der Waals damping constants are packed into 16 bytes. At each wavelength point in a frequency integration the profiles of all the significant nearby lines are computed and summed. The program and line files will be distributed in the fall of 1992.There are no significant differences at A0 between an opacity-sampled model computed with ATLAS12 and opacity-distribution-function model computed with ATLAS9. ATLAS12 allows arbitrary abundances but is slower. The new program can be used to produce improved models for Am and Ap stars that include the effects of millions of lines.

Multiple-Component Polarized Bidirectional Reflectance Distribution Function Model for Painted Surfaces Based on Kubelka-Munk Theory

2018 ◽  
Vol 38 (1) ◽  
pp. 0126002 ◽  
Author(s):  
杨敏 Yang Min ◽  
方勇华 Fang Yonghua ◽  
吴军 Wu Jun ◽  
崔方晓 Cui Fangxiao ◽  
李大成 Li Dacheng ◽  
...  
Keyword(s):  
Distribution Function ◽  
Bidirectional Reflectance Distribution Function ◽  
Bidirectional Reflectance ◽  
Function Model ◽  
Multiple Component ◽  
Bidirectional Reflectance Distribution

scholarly journals A New Modeling Approach for the Probability Density Distribution Function of Wind power Fluctuation

2019 ◽  
Vol 11 (19) ◽  
pp. 5512 ◽  
Author(s):  
Lingzhi Wang ◽  
Jun Liu ◽  
Fucai Qian
Keyword(s):  
Distribution Function ◽  
Density Distribution ◽  
Probability Density ◽  
Wind Power ◽  
Rapid Development ◽  
Probability Density Distribution ◽  
Power Fluctuation ◽  
Function Model ◽  
New Model ◽  
Fireworks Algorithm

With the rapid development of grid-connected wind power, analysing and describing the probability density distribution characteristics of wind power fluctuation has always been a hot and difficult problem in the wind power field. In traditional methods, a single distribution function model is used to fit the probability density distribution of wind power output fluctuation; however, the results are unsatisfying. Therefore, a new distribution function model is proposed in this work for fitting the probability density distribution to replace a single distribution function model. In form, the new model includes only four parameters which make it easier to implement. Four statistical index models are used to evaluate the distribution function fits with the measured probability data. Simulations are designed to compare the new model with the Gaussian mixture model, and results illustrate the effectiveness and advantages of the newly developed model in fitting the wind power fluctuation probability density distribution. Besides, the fireworks algorithm is adopted for determining the optimal parameters in the distribution function model. The comparison experiments of the fireworks algorithm with the particle swarm optimization (PSO) algorithm and the genetic algorithm (GA) are carried out, which shows that the fireworks algorithm has faster convergence speed and higher accuracy than the two common intelligent algorithms, so it is useful for optimizing parameters in power systems.

scholarly journals AJUSTE DA FUNÇÃO DE DISTRIBUIÇÃO DIAMÉTRICA WEIBULL POR PLANILHA ELETRÔNICA

FLORESTA ◽  
2011 ◽  
Vol 41 (2) ◽  
Author(s):  
William Thomaz Wendling ◽  
Dartagnan Baggio Emerenciano ◽  
Roberto Tuyoshi Hosokawa
Keyword(s):  
Distribution Function ◽  
Goodness Of Fit ◽  
Diameter Distribution ◽  
Goodness Of Fit Test ◽  
Function Model ◽  
Helpful Tool ◽  
Test Efficiency ◽  
Kolmogorov Smirnov ◽  
Electronic Spreadsheet ◽  
Main Model

Desenvolve-se uma metodologia traçada por um roteiro em algoritmo factível e amigável para efetivação em planilhas eletrônicas, reconhecidas como uma interface popular para cálculos. Busca-se, assim, apresentar uma ferramenta útil para alunos de graduação e recém-graduados em engenharia florestal, ou engenheiros mais experientes que ainda não dominem a técnica, para ajuste de um modelo de função densidade de probabilidade, com o objetivo de descrever a estrutura da distribuição diamétrica de populações florestais. O modelo adotado é o da função de Weibull, e o método de ajuste é o do percentis, com simulações comparadas por teste de aderência de Kolmogorov-Smirnov. A eficiência do método apresentado é testada por comparação a outro método alternativo.Palavras-chave:  Manejo florestal; florestas - modelos matemáticos; florestas - simulação por computador. AbstractWeibull diameter distribution function adjusts for electronic spreadsheet. This research develops a methodology based on easy and friendly algorithm for spreadsheets, a well known interface for calculus. It aims to present a helpful tool for forestry students, as well as for newly or experienced engineers who haven’t already known adjustment techniques for a density function model of probability, which is useful into diametric distribution structure descriptions of forest population. It has Weibull’s function as main model, percentile as adjustment method, and comparing simulations by Kolmogorov-Smirnov goodness-of-fit test. Efficiency of the presented method was tested by comparison to another method.Keywords: Forest management; forest - mathematical models; forest - computer simulator.

scholarly journals Predictions of the solar wind speed by the probability distribution function model

Space Weather ◽  
2014 ◽  
Vol 12 (6) ◽  
pp. 337-353 ◽  
Author(s):  
C. D. Bussy-Virat ◽  
A. J. Ridley
Keyword(s):  
Solar Wind ◽  
Distribution Function ◽  
Wind Speed ◽  
Probability Distribution ◽  
Probability Distribution Function ◽  
Solar Wind Speed ◽  
Function Model

A Model of Human Cone Based on Physiological Distribution

2013 ◽  
Vol 364 ◽  
pp. 838-842
Author(s):  
Fei Long Duan ◽  
Zhi Jie Wang
Keyword(s):  
Distribution Function ◽  
Cell Model ◽  
Retinal Prosthesis ◽  
Physiological Data ◽  
Function Model ◽  
Cone Cell ◽  
Model Based ◽  
Distribution Features ◽  
Cone Cells

A good computer retinal model is the key to realize retinal prosthesis. In some of the previous studies, the modeling of cone cell was not considered in retinal models; in other studies, although the model of cone cell was included in the retinal models, its distribution features was hardly taken into consideration at all. In this paper we present an improved cone cell model and realize the model based on cameras. First, based on the physiological data that cone cell is high in the fovea and falls quickly with eccentricity increased, distribution function model of the retina is successfully built in a realistic way. Second, considering non-homogeneity distribution feature of the cone cells, we build a corresponding function between the pixel and the cone cell for simulating retina with a camera. Third, the cone cell model based on its distribution features is constructed. In the end, simulation is carried out for the model, and it is verified that the model is useful for the design of retinal prosthesis.

Sign in / Sign up

Export Citation Format

Share Document