Carrying out information about the microstructure and stress behaviour of ferromagnetic steels, Magnetic Barkhausen Noise (MBN) has been used as a basis for effective Non Destructive Testing methods, opening new areas in industrial applications. One of the factors that determines the quality and reliability of the MBN analysis is the way information is extracted from the signal. Commonly, simpl...

Driving while drowsy is one of the significant causes road accidents, and detection drowsiness drivers necessary to minimize such accidents. There are many methods proposed for detection. In this paper, we present details a system using deep learning techniques with ECG as its input. Continuous wavelet transforms (CWT) applied on input signal, segmented 1-minute duration, then it converted into...

Significant ongoing debate exists amongst stakeholders as to the best front-of-pack labelling approach and emerging evidence suggests that the plethora of schemes may cause confusion for the consumer. To gain a better understanding of the relevant psychological phenomena and consumer perspectives surrounding FoP labelling schemes and their optimal development a Multiple Sort Procedure study inv...

There has been considerable work on determining a suitable method to accomplish a satisfactory ordering of a group of objects, when there are multiple evaluation criteria. A weighted index can be used to combine the opinion of all stakeholders to obtain a criterion for ranking the objects. Data from 21 watersheds of the Atlantic Slope Consortium (ASC) has been examined with the goal of determin...

BACKGROUND Previous research has identified inaccessible medical equipment as a barrier to health care services encountered by people with disabilities. However, no research has been conducted to understand why medical practices lack accessible equipment. OBJECTIVES/HYPOTHESIS The purpose of this study was to examine practice administrators' knowledge of accessible medical equipment and cost ...

This review focuses on the analysis of temporal beta diversity, which is the variation in community composition along time in a study area. Temporal beta diversity is measured by the variance of the multivariate community composition time series and that variance can be partitioned using appropriate statistical methods. Some of these methods are classical, such as simple or canonical ordination...

Equal distribution of healthcare facilities in order to increase the accessibility of the individuals to services is one of the main pillars in improvement of health. This study was aimed to examine the disparities in access to health care services across the cities of Lorestan province located in west of Iran. This study is a descriptive study. Data related to indicators of institutional and m...

Numerical analyses of remotely sensed data may valuably contribute to an understanding of the vegetation/land surface interface by pointing out at which scales a given variable displays a high level of spatial variability. Thus, there is a need of methods aimed at classifying many one-dimensional signals, such as airborne laser profiles, on the basis of their spatial structure. The present pape...

The Short Time Fourier Transform (STFT) and the Continuous Wavelet Transform (CWT) of accelerometer signals measured in patients with epilepsy are analyzed. Characteristics of the spectrogram and scalogram are studied in order to get more insight in how these transforms might be useful to derive suitable features for myoclonic seizure detection. First some artificial elementary patterns that re...

PURPOSE The Distance Vision Scale (DVS) is a self-assessment of visual acuity (VA). Like VA testing in which letter reading becomes progressively difficult through the test, DVS questions have a hierarchy of difficulty (Guttman scale). The aims were to determine whether the DVS fulfills Guttman scaling criteria and to test the relationship between DVS score and VA in a cataract population. ME...