The study analyzed the impact of COVID-19 pandemic on carbon dioxide emissions from electricity generation. Additionally, monthly seasonality was taken into account. It assumed (research hypothesis) that both (expressed in individual waves infection cases) and month have a significant CO2 emissions. Analysis variance (ANOVA) non-parametric Kruskal–Wallis tests were used to evaluate significance...

هدف: هدف پژوهش حاضر، تبیین الگوی برنامه درسی سواد رسانه‌ای در دوره ابتدایی نظام آموزش و پرورش است.مواد روش‌ها: رویکرد حاکم بر کیفی با استفاده از روش نظریه داده بنیاد انجام شده است. شرکت‌کنندگان این پژوهش، متخصصان صاحب‌نظران حوزه رسانه هستند که نمونه‌گیری هدفمند، 15 نفر آنان مصاحبه شد. ابزار گردآوری داده‌ها، نیمه‌ساختارمند بود تعداد محقق به اشباع نظری رسید.بحث نتیجه‌گیری: برای تجزیه تحلیل داده‌ه...

141 To generate identification data, we simulated this system using the feedback law u(t) = r(t) 0 (00:95q 02)y(t) = r(t) + 0:95y(t 0 2) (43) which places the closed-loop poles in 0.8618 and 0.6382. In the simulation we used independent, zero-mean, Gaussian white noise reference and noise signals fr(t)g and fe(t)g with variances 1 and 0.01, respectively. N = 200 data samples were used. In Table...

1 Abstract This paper presents and discusses the simulation of time stochastic ARMA systems and the development of an oo line identiication based on a prediction error method combined with exponential forgetting. The simulation involves diierent stages, starting with the simulation of the Gaussian white noise as an input to the original system and, the simulation with a combined signal and Gaus...

in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...