In order to obtain more accurate predicted dynamic steady-state performance with shorter computation time, an available mathematical model is modified and presented. Using this modified model, performance of a typical switched reluctance motor (SRM) under a wide range of variations of operating conditions is obtained and discussed. These include variations of speed, voltage, load and switching ...

Abstract In this study, a novel adsorbent (SRM-ZnO) was prepared using zinc oxide supported on red mud in seawater medium and used for the adsorption of methyl orange (MO). It is expected to solve recycling prepare an economical with high efficiency adsorb dye wastewater. Material composition morphology analyses showed that hydrotalcite compounds were attached surface SRM-ZnO. The can increase ...

OBJECTIVE To evaluate the feasibility of automatically assessing the Social Rhythm Metric (SRM), a clinically-validated marker of stability and rhythmicity for individuals with bipolar disorder (BD), using passively-sensed data from smartphones. METHODS Seven patients with BD used smartphones for 4 weeks passively collecting sensor data including accelerometer, microphone, location, and commu...

Superresolution mapping (SRM) is a commonly used method to cope with the problem of mixed pixels when predicting spatial distribution within low-resolution pixels. Central popular SRM pattern model, which utilized represent land cover The use an inappropriate model limits such analyses. Alternative approaches, as deep-learning-based algorithms, learn from training data through convolutional neu...

Indicator-geostatistics based super-resolution mapping (IGSRM) is a popular super-resolution mapping (SRM) method. Unlike most existing SRM methods that produce only one SRM result each, IGSRM generates multiple equally plausible super-resolution realizations (i.e., SRM results). However, multiple super-resolution realizations are not desirable in many applications, where only one SRM result is...

In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a biologically inspired, flexible model of spiking neuron based on kernel functions that describe the effect of spike reception and emission on the membrane potential of the neuron. In our experiments, the spikes emitted b...

BACKGROUND Using the theoretical framework of the Self Regulation Model (SRM), many studies have demonstrated that beliefs individuals hold about their physical health problems are important in predicting health outcomes. This study tested the SRM in the context of a mental health problem, schizophrenia. METHOD One hundred and twenty-four people with a diagnosis of schizophrenia were assessed...

Real time forecasts of the snowmelt runoff up to six days in advance were carried out for basins in the Alps of the Zillertal, Austria, which are part of a network of reservoirs for hydropower generation. The forecasts are based on the Snowmelt Runoff Model (SRM). Input data to SRM are taken from online measurements of hydro-meteorological parameters, from numerical weather forecast models, and...

The strong reciprocity model of human cooperation (SRM) argues that strong reciprocators, who cooperate with others and punish non-cooperators, sustain within-group cooperation. However, the assumption that altruism and punishment are products of the same psychological mechanism of strong reciprocity has not been fully verified. Second-party punishment, for example as measured through rejection...

The estimation of erosive burning is great importance for the internal ballistics computation a solid rocket motor (SRM) with large aspect ratio. Because variety parameters affecting burning, most models developed in earlier years usually contain unknown constants that need to be identified by trial-and-error procedure each SRM. Based on an SRM cylindrical grain, new model, which coupled heat t...