Acoustic emission (AE) method enables real-time monitoring of damage initiation and progression. Recently, AE analysis using machine learning has become widely popular; however, the source location is often located manually to ensure reliability accuracy. Therefore, it desirable that detection fully automated with a high This study proposes novel arrival time identification for can accurately a...

Meals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defined as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussia...

Due to the transition of Ukraine in 2019 new regulatory documents on standardisation regarding classification round timber by quality classes, it became necessary develop standards for evaluating volumes accordance with requirements. The purpose study was a mathematical model forming stem Scots pine trees two groups diameters. is based use empirical material collected different years researcher...

Abstract Introduction Neck circumference (NC) and body mass index (BMI) are both markers of obesity established parameters in clinical models for the prediction obstructive sleep apnoea (OSA). It is unclear if one parameter superior OSA severity or addition significantly enhances accuracy model. In this study, we evaluated performance NC BMI as predictors moderate to severe (AHI≥15) when adjust...

Recently, local modeling has attracted much attention to identify the complex systems. In local modeling, global system model is obtained by combining a number of local models, each of which has simpler structure and has a range of validity less than the full range of operation. Since the local models are identified for corresponding local operating regimes, the performance of the global model ...

Recently, local modeling has been received much attention to identify the complex systems. In local modeling, global system model is obtained by combining a number of local models, each of which has simpler structure and has a range of validity less than the full range of operation. Since the local models are identified for corresponding local operating regimes, the performance of the global mo...

Stopping accuracy is one of the most important indexes of efficiency of automatic train operation (ATO) systems. Traditional stopping control algorithms in ATO systems have some drawbacks, as many factors have not been taken into account. In the large amount of fieldcollected data about stopping accuracy there are many factors (e.g. system delays, stopping time, net pressure) which affecting st...

Japanese sardines (Sardinops melanostictus) are environmentally sensitive pelagic fish. We investigated the effects of environmental factors on stock-recruitment (S-R) relationship S. melanostictus in Pacific Ocean from 1984 to 2018. modeled and analyzed recruitment using Ricker model, environment extension model (Ricker-E), generalized additive (GAM). Different numbers were added models for fi...

This study compares robust Poisson INARCH(P) models (more briefly: RP-INARCH) and negative binomial INARCH(p) RNB-INARCH) to fit the new daily confirmed cases for first wave of COVID 19 in Egypt. The estimation these is based on some modifications Conditional Maximum Likelihood Estimates (CMLE). simulation results show that RNB-INARCH more than RP-INARCH, but less efficient if data contain isol...