Residual

El enfoque basado en riesgo es uno de los principales cambios de la nueva versión de la norma ISO 9001:2015, y exige de las organizaciones además del compromiso de la alta dirección, establecer durante la planificación del sistema de gestión de la calidad acciones que le permitan determinar los riesgos y oportunidades con el fin de asegurar que el sistema de gestión de la calidad pueda lograr sus resultados previstos, aumentar los efectos deseables, prevenir o reducir efectos no deseados y lograr la mejora continua de sus procesos. En el presente artículo, se plantea una metodología genérica para administrar los riesgos estratégicos y operacionales de una compañía a partir de la comprensión del contexto y la identificación de las necesidades y expectativas de las partes interesadas. Por medio de una secuencia de etapas se plantea abordar los riesgos y oportunidades de una organización, partiendo de la identificación de las fuentes, causas y consecuencias que puede traer la materialización de un riesgo inherente, seguido de la valoración a través de un análisis cualitativo, cuantitativo, semicuantitativo o combinación de estos, de acuerdo con la herramienta que se desee utilizar. Posteriormente, teniendo el riesgo valorado se evalúa haciendo uso de las estrategias definidas para identificar los riesgos críticos y priorización de los mismos. Por último, continúa el proceso de tratamiento del riesgo donde se modifica y/o implementan acciones frente al mismo para poder controlar la materialización de los riesgos y/o disminuir el impacto que podría provocar en caso de que se materializarse

This paper describes the use of CAPM and APT models in stock exchange analysis. The comparative study of the models reveals their advantages and disadvantages. The authors present the mathematical base of the models, the dataset used for the practical approach and validate the conclusions in an elegant manner.

Sound produced by Musical instruments with definite pitch consists of the Harmonic Series and the nonharmonic Residual. It is common to treat the Harmonic Series as the main characteristic of the timbre of pitched musical instruments. But does the Harmonic Series indeed contain the complete information required for discriminating among different musical instruments? Could the non-harmonic Residual, the “noise”, be used all by itself for instrument recognition? The paper begins by performing musical instrument recognition with an extensive sound collection using a large set of feature descriptors, achieving a high instrument recognition rate. Next, using Additive Analysis/Synthesis, each sound sample is resynthesized using solely its Harmonic Series. These “Harmonic ” samples are then subtracted from the original samples to retrieve the non-harmonic Residuals. Instrument recognition is performed on the resynthesized and the “Residual ” sound sets. The paper shows that the Harmonic Se...

In this paper, we propose a deep residual dense network (DRDN) for single image super- resolution. Based on human perceptual characteristics, the residual in residual dense block strategy (RRDB) is exploited to implement various depths in network architectures. The proposed model exhibits a simple sequential structure comprising residual and dense blocks with skip connections. It improves the stability and computational complexity of the network, as well as the perceptual quality. We adopt a perceptual metric to learn and assess the quality of the reconstructed images. The proposed model is trained with the Diverse2k dataset, and the performance is evaluated using standard datasets. The experimental results confirm that the proposed model exhibits superior performance, with better reconstruction results and perceptual quality than conventional methods.

This paper aims to find a forecasting model based on the comparative study of wavelet- ARIMA and EMD-ARIMA models and residual-based model selection technique for temperature time series. Time series analysis is essential in studying temperature data for investigating the variation and predicting the future trend, in which we can control the changes and make good decisions. And most important is to understand the trend in the series with time. This study applied hybridized models of wavelet transform and empirical mode decomposition with seasonal autoregressive integrated moving average (SARIMA), which combines two models to get better accuracy, for forecasting daily average temperature time series data in the central region of Eritrea, Asmara. Daily data was collected for 30 years, from January 1, 1991, to December 31, 2020. The study compares WT-SARIMA and EMD-SARIMA models to find a well fit and better forecasting model. Model selection techniques are essential for time series an...

This paper presents a least-square radial point collocation method (LS-RPCM) that is formulated based on the strong formulation and the local approximation using radial basis functions (RBFs). Aiming to solve the instability problem observed in the conventional RPCM using local nodes, a simple and yet effective procedure that uses the well-known least-square technique in a carefully designed manner has been proposed to restore the stability. Since stable solution can now be obtained, the LS-RPCM is then extended for adaptive analysis. Attractive features of the meshfree strong-form method that facilitate the implementation of adaptive analysis are demonstrated via a number of examples in this work. A robust residual based error estimator and a simple refinement procedure using Delaunay diagram are adopted in our adaptive scheme. Stable and accurate results are obtained in all the numerical examples.

Abstract. The anaerobic degradation of sludge is usually limited by the rate of hydrolysis of suspended matter and organic solids. Low temperature pre-treatment (below 80°C) results in incomplete destruction of micro-flora but many enzymes maintain their biocatalytic activity. Increasing hydrolysis through thermal and alkali pre-treatment was studied in an anaerobic thermophilic reactor operating between 70°C and 100°C with hydraulic retention times (HRT) between 7 to 30 min followed by the main treatment in an anaerobic mesophilic reactor operating at 35±1°C. Pre-treatment at 70°C and 30 min residence time was optimal for COD removal and was sufficient for the complete annihilation of pathogens. In this case concentration of lactate underwent the most drastic changes. As lactate is one of the most readily metabolized organic acids, it was reflected in the highest COD removal (up to 90%). Pre-treatment at 80°C gave the highest biogas production (124 mL g-1 COD added). Pre-treatment ...

The aim of this paper is to raise concerns with the mathematical concept of the derivative as we know it. It raises concerns of accuracy. The paper is kept as simple as possible, solutions are always meant to be as simple as possible to be easily understood. The paper looks at linear and polynomial functions to illustrate that the derivative is not as precise as it should be, and in some instances can be considered almost a relic, though the solutions that are derived consider the simple derivative. It is the nature of polynomial functions that lead to the derivative not to be accurate and this paper clearly shows the shortcomings. The paper ends with a derivative that is accurate and precise, a derivative that when broken down is so simple. The main lesson/ conclusion is that it is all in the function, complex derivatives are not always necessary. This has important implications to all researchers, scientists who use the derivative to predict.

ABSTRACT Residual sea currents of the northern Adriatic were analysed in the sense of the general (global) circulation, over a period of 42 months (in one main and two control stations). At the end of the summer season and the beginning of autumn (in the so-called ‘inversion period’) residual surface (6m) sea currents at the main station showed characteristic seasonal behaviour: a change of direction from the north (NW, N, NE) to the south-east (SE). The sequence with SE directions lasted about 1·5 months. After that, directions changed again to the NW (or N). The direction of bottom residual currents (37m) in this inversion period had the same pattern as the surface ones. This behaviour of the currents can be associated with the change of the cyclonic gyre into the anticyclonic. In all other periods at the main station the surface residual sea currents have predominant north directions. Bottom residual currents mainly followed the pattern of surface currents for all stations and periods, except during the periods from January to June 1990 and 1992, when they were of opposite direction at station B.