Search results for "component"
showing 10 items of 1682 documents
Identifying critical factors for implementing good agricultural practice
2009
En este artículo se presenta la identificación de los factores críticos (FC) que afectan la implantación de un programa de buenas prácticas agrícolas (BPA) en productores de café y frutas del departamento del Huila, en Colombia, mediante la realización de un análisis factorial exploratorio utilizando como método de factorización el análisis de componentes principales (ACP); las matrices de datos se construyeron con los resultados de la aplicación de sendos instrumentos con estructura definida en las dos poblaciones objeto de estudio, el instrumento Starbucks C.A.F.E. Practices -para pequeños caficultores en el caso de los productores de café- y EUREPGAP V2.1 Oct.2004 - Checklist-listado de …
Diethyl [(2,5-diiodo-4-methylphenyl)methyl]phosphonate
2021
The title compound, C12H17I2O3P, was prepared in three steps from p-xylene. Heterodimers between nearly identical molecules are connected via three hydrogen bonds from benzylic and ester methylene groups to phosphonate. The dimers form chains along the a-axis direction, stabilized by C—H...O bridges.
Towards digital cognitive clones for the decision-makers: adversarial training experiments
2021
Abstract There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as one’s responsible representative when the human is not available. Pi-Mind (“Patented Intelligence”) is a technology, which enables “cloning” cognitive skills of humans using adversarial machine learning. In this paper, we present a cyber-physical environment as an adversarial learning ecosystem for cloning image classification skills. The physical component of the environment is provided by the logistic laboratory with camera-surveilla…
A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem
2017
A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed
Components of defence strategies in society’s information environment: a case study based on the grounded theory
2020
Objectives: The goal of this study is to explore the components of defence strategies faced by society in its information environment, and how these strategies are inter-related. Methods: This qualitative in-depth case study applied past research and empirical evidence to identify the components of defence strategies in a society’s information environment. The collected data were analysed using the Grounded Theory approach and a conceptual framework with the components of defence strategies and the relationships between these components being developed using the Grounded Theory. Results: This study shows that the goal of politically and militarily hostile actors is to weaken society’s infor…
Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
2019
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
Programa de ejercicio multicomponente para prevenir la fragilidad, y para la mejora cognitiva, emocional y social en ancianos frágiles
2018
La población española, al igual que la occidental, ha experimentado un progresivo envejecimiento en las últimas décadas. Este fenómeno demográfico se debe principalmente a un aumento significativo de la esperanza de vida y a una disminución importante de la fecundidad. De este modo, las previsiones epidemiológicas sitúan la población mayor de 65 años para el año 2050 en un porcentaje superior al 30%, lo que supone más de 2000 millones de personas mayores a nivel mundial. El envejecimiento supone un reto para los sistemas de salud actuales ya que la población mayor de 65 años contribuye, en un porcentaje muy significativo, al gasto sanitario. A medida que la expectativa de vida aumenta, tamb…
Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition
2020
Background and objective. It is challenging to conduct real-time identification of myocardial infarction (MI) due to artifact corruption and high dimensionality of multi-lead electrocardiogram (ECG). In the present study, we proposed an automated single-beat MI detection and localization system using dual-Q tunable Q-factor wavelet transformation (Dual-Q TQWT) denoising algorithm. Methods. After denoising and segmentation of ECG, a fourth-order wavelet tensor (leads × subbands × samples × beats) was constructed based on thediscretewavelet packet transform (DWPT), to represent the features considering the information of inter-beat, intra-beat, inter-frequency, and inter-lead. To reduce the t…
Influencia de factores intrínsecos y extrínsecos sobre la evolución postincendio de la comunidad helmintiana del ratón de campo, Apodemus sylvaticus,…
2015
A lo largo de casi dos décadas se ha estado analizando el papel de los helmintos del ratón de campo, Apodemus sylvaticus, como bioindicadores del proceso de regeneración postincendio en el ecosistema de bosque mediterráneo del Parc Natural de la Serra Calderona, entre las provincias de Castelló y València. Formando parte de este proyecto multidisciplinar, se analiza la influencia de factores intrínsecos y extrínsecos sobre la evolución postincendio de las 10 especies componentes de la comunidad helmintiana del ratón de campo, 18 años después del incendio forestal. El análisis se ha llevado a cabo sobre 917 A. sylvaticus, 675 procedentes de las zonas quemadas y 242 de las zonas control. Las …
Principal Component and Neural Network Analyses of Face Images: What Can Be Generalized in Gender Classification?
1998
We present an overview of the major findings of the principal component analysis (pca) approach to facial analysis. In a neural network or connectionist framework, this approach is known as the linear autoassociator approach. Faces are represented as a weighted sum of macrofeatures (eigenvectors or eigenfaces) extracted from a cross-product matrix of face images. Using gender categorization as an illustration, we analyze the robustness of this type of facial representation. We show that eigenvectors representing general categorical information can be estimated using a very small set of faces and that the information they convey is generalizable to new faces of the same population and to a l…