Adaptive AR Research Articles

THE CORRELATED RELATIONSHIP BETWEEN ACADEMIC HELP-SEEKING AND ACADEMIC SELF-EFFICACY AMONG UNIVERSITY STUDENTS

The current research seeks to investigate the correlation  between academic assistance-seeking and academic self-efficacy and determine the prevalence of academic assistance-seeking among students at Prince Sultan University as well. Additionally, the research aimed to establish a formula for learning about academic self-efficacy utilizing academic assistance-seeking. The sample of the study includes 218 participants at Prince Sultan University. The results of the research stated that  the percentage of  the students who demonstrated an increased  level of perceived forms of assistance request (henceforth AR), necessary (adaptive) AR, implemented(maladaptive) help-seeking, and avoidance of help-seeking was 51.4%, 50%, 6.8%, and 5.1%, respectively. Furthermore, the results indicated a considerable positive correlation between necessary assistance-seeking and self-efficacy, while a considerable negative connection was found between implemented AR and academic self-efficacy. However, no statistically significant relationship was found between avoidance of assistance--seeking and academic self-efficacy.

X-Board: an egocentric adaptive AR assistant for perception in indoor environments

X-Board: an egocentric adaptive AR assistant for perception in indoor environments

Autoregressive Modeling based ECG Cardiac Arrhythmias’ Database System

This article proposes an ECG (electrocardiography) database system based on linear filtering, wavelet transform, PSD analysis, and adaptive AR modeling technologies to distinguish 19 ECG beat types for classification. This paper uses the Savitzky-Golay filter and wavelet transform for noise reduction, and wavelet analysis and AR modeling techniques for feature extraction to design a database system of AR coefficients describing the ECG signals with different arrhythmia types. In the experimental part of this work, the proposed algorithm performance is evaluated using an ECG dataset containing 19 different types including normal sinus rhythm, atrial premature contraction, ventricular premature contraction, ventricular tachycardia, ventricular fibrillation, supraventricular tachycardia, and other types from the MIT-BIH Arrhythmia Database. The simulation is performed in a MATLAB environment.

Sliding Mode Observer of Lithium Battery SOC Based on Order Adaptive AR Equivalent Circuit Model

Sliding Mode Observer of Lithium Battery SOC Based on Order Adaptive AR Equivalent Circuit Model

Weighted Multisteps Adaptive Autoregression for Seismic Image Denoising

We devised a new filtering technique for random noise attenuation by weighted multistep adaptive autoregression (WMAAR). We first obtain a series of denoised results by means of different steps adaptive AR, and then we sum these results with different weights. The adaptive AR coefficients are obtained by solving a global regularized least squares problem, in which regularization is used to control the smoothness of these coefficients. The adaptive AR can estimate seismic events with varying slopes since AR coefficients have temporal and spatial variabilities. We derive the weights from the normalized power of local similarity by comparing the result of the nearest step with the ones of other steps. The application of these weights makes the proposed algorithm more effective in fault information conservation. The proposed WMAAR can be implemented both in the frequency–space and in time–space domains. Multidimensional synthetic and field seismic data examples demonstrate that, compared with conventional methods in frequency–space or time–space domain, multistep adaptive AR is more effective in suppressing random noise and preserving effective signals, especially for complex geological structure (e.g., faults).

Observed Tropospheric Temperature Response to 11-yr Solar Cycle and What It Reveals about Mechanisms

Abstract Using 54 yr of NCEP reanalysis global data from 1000 to 10 hPa, this study establishes the existence and the statistical significance of the zonal-mean temperature response to the 11-yr solar cycle throughout the troposphere and parts of the lower stratosphere. Two types of statistical analysis are used: the composite-mean difference projection method, which tests the existence of the solar cycle signal level by level, and the adaptive AR(p)-t test, which tells if a particular local feature is statistically significant at the 95% confidence level. A larger area of statistical significance than that in previous published work is obtained, due to the longer record and a better trend removal process. It reveals a spatial pattern consistent with a “bottom up” mechanism, involving evaporative feedback near the tropical ocean surface and tropical vertical convection, latent heating of the tropical upper troposphere, and poleward large-scale heat transport to the polar regions. It provides an alternative to the currently favored “top down” mechanism involving stratospheric ozone heating.