Results 21 to 30 of about 1,315,232 (288)

Moisture induced changes of volume and density of some cereal seeds

open access: yesPlant, Soil and Environment, 2015
The effect of wetting in the density and volume of seeds of barley, rye and two cultivars of wheat was determined. Two levels of wetting were used: (i) 6 h wetting close to the end of imbibition; (ii) 24 h wetting close to the beginning of germination ...
J. Blahovec, M. Lahodová
doaj   +1 more source

Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2023
Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. In this method ,truncation method and Hampel filtering method are
QIN Yiyuan   +4 more
doaj   +1 more source

Approaches to rational development of analytical methods for mineral raw materials and products of their processing

open access: yesИзвестия высших учебных заведений: Геология и разведка, 2023
Background. Russia occupies a leading position in the global extraction of minerals, meeting all the demands of Russian economy. The efficiency of resources development determines the efficiency of both the oil and gas industry, as well as related ...
B. A. Ovezov
doaj   +1 more source

Novel Composite Approximation for the Gaussian Q-Function

open access: yesElektronika ir Elektrotechnika, 2020
This paper, by using Borjesson’s and Benitez’s approximation of Q-function, presents a novel and improved composite approximation of Q-function with wide applicability.
Zoran H. Peric   +4 more
doaj   +1 more source

Improved Bernoulli Sampling for Discrete Gaussian Distributions over the Integers

open access: yesMathematics, 2021
Discrete Gaussian sampling is one of the fundamental mathematical tools for lattice-based cryptography. In this paper, we revisit the Bernoulli(-type) sampling for centered discrete Gaussian distributions over the integers, which was proposed by Ducas et
Shaohao Xie, Shaohua Zhuang, Yusong Du
doaj   +1 more source

Abacterial prostatitis of viral etiology and its chronobiological features

open access: yesJournal of Education, Health and Sport, 2020
Urogenital infections are a global health burden all over the world. The combination of general “aging” of the population and improvement of diagnostic capabilities led to a surge in the detection of diseases of the urogenital sphere, much of which have ...
V. S. Goydyk   +2 more
doaj   +1 more source

Gaussian quadrature for non-Gaussian distributions

open access: yesAIP Conference Proceedings, 2022
Many problems of operations research or decision science involve continuous probability distributions, whose handling may be sometimes unmanageable; in order to tackle this issue, different forms of approximation methods can be used. When constructing a k-point discrete approximation of a continuous random variable, moment matching, i.e., matching as ...
Barbiero, Alessandro, Hitaj, Asmerilda
openaire   +2 more sources

Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution

open access: yesLeida xuebao, 2013
The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed,
Yan Liang   +4 more
doaj   +1 more source

Level III Reliability Design of an Armor Block of Rubble Mound Breakwater Using Probabilistic Model of Wave Height Optimized for the Korean Sea Wave Conditions and Non-Gaussian Wave Slope Distribution

open access: yesJournal of Marine Science and Engineering, 2021
In this study, a Level III reliability design of an armor block of rubble mound breakwater was developed using the optimized probabilistic wave height model for the Korean marine environment and Van der Meer equation.
Yong Jun Cho
doaj   +1 more source

Online nonparametric Bayesian analysis of parsimonious Gaussian mixture models and scenes clustering

open access: yesETRI Journal, 2020
The mixture model is a very powerful and flexible tool in clustering analysis. Based on the Dirichlet process and parsimonious Gaussian distribution, we propose a new nonparametric mixture framework for solving challenging clustering problems. Meanwhile,
Ri‐Gui Zhou, Wei Wang
doaj   +1 more source

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