BACKGROUND One of the significant dangers that threaten people's lives is the increased risk of accidents. Annually, more than 1.3 million people die around the world as a result of accidents, and it has been estimated that approximately 300 deaths occur daily due to traffic accidents in the world with more than 50% of that number being people who were not even passengers in the cars. The aim o...

In this paper, modeling of doubly fed induction generator (DFIG) based wind energy conversion system (WECS) and speed controller are presented. The System Identification Toolbox MatLab is used to develop the linear model WECS by considering as input output. Two models, namely Auto Regressive with eXogenous Input (ARX) Auto-Regressive Moving Average (ARMAX), estimated. We ARX221 structure best f...

Presented in this paper is a novel methodology to determine the average number of transitions in a signal from its word-level statistical description. The proposed methodology employs: 1.) high-level signal statistics, 2.) a statistical signal generation model, and 3.) the signal encoding (or number representation) to estimate the transition activity for that signal. In particular, the signal s...

Carbon dioxide can change the heat balance of atmosphere. To study relationship between CO 2 and temperature change, we use given concentrations to implement linear regression model, gray time series forecasting back-propagation auto-regressive moving average model establish growth function concentration. Errors are evaluated choose most suitable model. then in step one further predict future l...

The purpose of this paper is to introduce a method of estimating parameters in nonnegative ARMA processes. The method is a generalization of the procedures which were derived for autoregressive and moving-average processes. The estimates are constructed in the form of minima of certain fractions or some functions of these minima. A theorem concerning the strong consistence of these estimates is...

This article presents the results of reviewing predictive capacity Google Trends for national elections in Chile. The electoral between Michelle Bachelet and Sebastián Piñera 2006, Eduardo Frei 2010, Evelyn Matthei 2013, Alejandro Guillier 2017, Gabriel Boric José Antonio Kast 2021 were reviewed. time series analyzed organized on basis relative searches candidacies, assisted by R software, main...

In this study, the situation of Iran, U.S and Turkey's Pistachio export is investigated. to this purpose, Revealed Comparative Advantage (RCA) Index is calculated based on Agricultural and total economy export, separately, then forecasted by using Auto- Regressive Integrated Moving Average (ARIMA) approached, for 2008-2013. The results show that considering both commodity baskets, Turkey and Ir...