Implementación de un sistema de reconocimiento de voz en el lenguaje Nasa Yuwe basado en Redes Neuronales Convolusionales

Introduction: This paper presents the Implementation of an algorithm for voice recognition in the Nasa Yuwe language based on Convolutional Neural Networks (CNN), developed at the Universidad del Cauca in the year 2022. Problem: The Nasa Yuwe language is phonetically rich, as it has 32 vowels and 34 consonants, which leads to confusion in pronunciation and therefore difficulties in recognizing voice patterns. Objective: To implement a speech recognition algorithm for the Nasa Yuwe language supported in CNN. Methodology: The preprocessing of the audio signals was carried out to subsequently obtain the characteristics through the scalograms of the Mel coefficients. Finally, an architecture of the CNN is proposed for the classification process. Results: A DataSet is built from the scalograms of the voice patterns, and the CNN training process is carried out. Conclusion: The implementation of a Voice Recognition System based on CNN provides low margins of error in the word classification process of the Nasa Yuwe language. Originality: The proposed voice recognition system is the first and only one of its kind that has been carried out so far, with the purpose of collaborating in the process of teaching, preserving and learning the Nasa Yuwe language. Limitations: It is necessary to increase the number of voice patterns provided by native speakers, and there is a need to implement other technological tools that allow for the conservation and dissemination of the Nasa Yuwe language.Introducción:  Este artículo presenta la Implementación de un algoritmo para el reconocimiento de voz en el lenguaje Nasa Yuwe basado en Redes Neuronales Convolusionales (RNC), desarrollado en la Universidad del Cauca en el año 2022. Problema: La riqueza fonética del lenguaje Nasa Yuwe es grande, al poseer 32 vocales, y 34 consonantes, lo que lleva a confusiones en la pronunciación y por lo tanto a dificultades en el reconocimiento de patrones de voz. Objetivo:  Implementar un algoritmo de reconocimiento de voz, para el lenguaje Nasa Yuwe soportado en RNC. Metodología:  Se realizó el preprocesamiento de las señales de audio para posteriormente obtener las características por medio de los escalogramas de los coeficientes de Mel.  Finalmente se propone una arquitectura de la RNC para el proceso de clasificación. Resultados:  Se construye un DataSet a partir de los escalograma de los patrones de voz, y se realiza el proceso de entrenamiento de la RNC. Conclusión:  La implementación de un SRV basado RNC, proporciona bajos márgenes de error en el proceso de clasificación de palabras del lenguaje Nasa Yuwe. Originalidad:  El sistema de reconocimiento de voz planteado es el primero y único en su clase que se ha realizado hasta el momento, con el propósito de colaborar en el proceso de enseñanza, conservación y aprendizaje del lenguaje Nasa Yuwe. Limitaciones:  Se requiere aumentar el número de patrones de voz aportados por hablantes nativos, y se plantea la necesidad de implementar otras herramientas tecnologías que permitan la conservación y difusión del lenguaje Nasa Yuwe

ALGORITMO ACELERADOR REGRESIO VERSIÓN GAMMA CON GRADIENTE LOCAL DE ERROR PARA ENTRENAMIENTO DE REDES NEURONALES PERCEPTRÓN MULTICAPA

Se presenta un nuevo algoritmo para el entrenamiento de redes neuronales perceptrón multicapallamado Acelerador Regresivo versión Gamma con Gradiente Local de Error. Este algoritmo se basa enlos mismos principios que rigen la actualización de parámetros en el algoritmo Acelerador Regresivoversión Gamma. El algoritmo Acelerador Regresivo versión Gamma con Gradiente Local de Error sevalida mediante diferentes problemas relacionados con aproximación de funciones y reconocimiento depatrones. Los resultados muestran buen comportamiento en cuanto a convergencia y generalización,mejorando la tasa de aprendizaje del algoritmo “backpropagation”.PALABRAS CLAVES: Redes Neuronales, Perceptrón Multicapa, Algoritmo ARγ, Gradiente Local deError, Reconocimiento de Patrones, Aproximación de Funciones

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

The original version of this article unfortunately contained a mistake

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

Diseño de un algoritmo de aprendizaje para redes neuronales MLP basado en las propiedades del algoritmo acelerador regresivo versión Y

Se presenta un nuevo algoritmo para el entrenamiento de redes neuronales perceptrón multicapa denominado ARγ-GLE (Acelerador Regresivo versión con Gradiente Local de Error). Este algoritmo se basa en los principios que rigen la actualización de parámetros en el algoritmo ARγ , que fue desarrollado en el contexto del filtrado adaptativo a partir de la discretización de un algoritmo en tiempo continuo que ajusta la segunda derivada de parámetros. El algoritmo ARγ-GLE se valida mediante diferentes problemas relacionados con aproximación de funciones y reconocimiento de patrones. Los resultados muestran buen comportamiento en cuanto a convergencia y generalización superando en las pruebas realizadas (sin aumento considerable en la complejidad algorítmica) los inherentes problemas del algoritmo "backpropagation" relacionados con la influencia imprevisible de la tasa de aprendizaje.A new algorithm is presented for Multi-Layer Perceptron Neural Networks training, which is called ARγ-GLE (Acelerador Regresivo versión γ con Gradiente Local de Error ). This algorithm is based in the same principles that let parameter actualization in ARγ algorithm. This last one is an algorithm created in adaptive filtering context and is obtained from discretization of a continuous time algorithm based on the second derivative adjustment of the parameter estimate. ARγ -GLE algorithm is validated through different problems related to pattern recognition and fitting function. Results show both good convergence as generalization, overcomming in the experiments the inherent disadvantages of backpropagation algorithm (without a significant increase in the algorithm complexity) related to the unforseeable influence of the learnig rate

Entrenamiento de máquinas de aprendizaje extremo con el algoritmo acelerador

This paper presents a new algorithm for training neural networks fed back not one hidden layer which combines the properties of the end machine learning algorithm with AR? occurs. The proposed algorithm has low computational complexity and tests show a high performance in terms of generalization.En este artículo se presenta un nuevo algoritmo para el entrenamiento de redes neuronales no realimentadas de una sola capa oculta el cual combina las propiedades de la máquina de aprendizaje extremo con las del algoritmo AR?. El algoritmo propuesto presenta una baja complejidad computacional y las pruebas realizadas muestran un alto desempeño en términos de generalización

XVII International Congress of Control Electronics and Telecommunications: "Advanced Science, Technology and Innovation to move towards a new socio-technical system: Sustainable Social Transformation"

Contenido: Approach to the diagnostic of cesarean birth using bio-inspired models. ; Design of a tool in a virtual reality environment to manipulate anatomical models. ; The effect of COVID-19 restrictions on the electricity price forecasting models. ; Depression prevention through artificial intelligence. ; State of the art in Prototypes as complements to the learning of the Colombian Sign Language (LSC). ; A computational proposal for gene expression deterministic analysis in associated disorders to depression and anxiety. ; Evaluation of postural stability from the predictability of the measurement of the center of pressure. ; Psychophysiological Analysis of Sound Stimuli.; Delphi method for the identification of relevant variables in the development of low-power photovoltaic solar projects. ; Socioeconomic impact of a refrigerator powered by a photovoltaic system in La Guajira. ; Energy Efficiency: characteristics that allow the reduction of greenhouse gases in. ; Possibilities for the implementation of a bioreactor from organic waste. ; Energy Potential with Small Hydroelectric Power Plants in Non- interconnected Zones of Colombia. ; Energy Potential in Photovoltaic Solar Solutions in Non-Interconnected Areas of Colombia. ; Photovoltaic system, towards the energy transition from home. ; Blockchain model to increase the transparency of public sector processes. ; Intelligent agricultural irrigation prescription system based on sensor networks and crop modeling. ; Design and implementation of a digital modulation classification system using intelligent algorithms. ; A mobile application proposal to minimize intermediation during agricultural process distribution of products in supply chain. ; Accompanying strategy for the social appropriation of new technologies in vulnerable agricultural communities: case in communities producing Gulupas fruits (Passiflora edulis Sims). ; Predictive model of transparency as an indicator of Public Policies. ; Smart system for recognition of ripening level in blackberry fruits. ; Project-based learning as an alternative methodology for technological education in electronics. ; Design and construction of an automated system for N. ; Four bar mechanisms (FBM) and their Software-Based applications: a reviewFT aquaponic culture of Red Carp and Crespa Lettuce. ; Intelligent search implementation for the construction of states of the art: a python application. ; Indoor and Outdoor propagation models on 5G environments: state of the art. ;The electronic detection of offenders (DOO) in the District Secretary of mobility of Bogotá: a step forward in the configuration of the concept of digital citizenship in Colombia. ; Monitoring through ICT of Mobility: technological collaborative feature to incorporate IoT in a Smart City. ; Characterization model of asphalt mixtures using digital image processing. ; Review: identification of diseases and/or pests in fruit trees through image processing techniques and artificial intelligence. ; VRS applicated to Nasa Yuwe language. ; Application of Pix2Pix for edge reconstruction in images. ; Brushless DC Motor Control System for Active Myoelectric Prosthesis. ; Implementation of a Water Conductivity Measuring System. ; 2 DOF robot programmed with MatLab® (guide and Peter Corke) and Arduino uno for writing alphabetical characters. ; Simulator of the behavior of the center of mass in a quadruped robot. ; Biomimetic prototype for flapping movement of batsContent: Contenido: Approach to the diagnostic of cesarean birth using bio-inspired models. ; Design of a tool in a virtual reality environment to manipulate anatomical models. ; The effect of COVID-19 restrictions on the electricity price forecasting models. ; Depression prevention through artificial intelligence. ; State of the art in Prototypes as complements to the learning of the Colombian Sign Language (LSC). ; A computational proposal for gene expression deterministic analysis in associated disorders to depression and anxiety. ; Evaluation of postural stability from the predictability of the measurement of the center of pressure. ; Psychophysiological Analysis of Sound Stimuli.; Delphi method for the identification of relevant variables in the development of low-power photovoltaic solar projects. ; Socioeconomic impact of a refrigerator powered by a photovoltaic system in La Guajira. ; Energy Efficiency: characteristics that allow the reduction of greenhouse gases in. ; Possibilities for the implementation of a bioreactor from organic waste. ; Energy Potential with Small Hydroelectric Power Plants in Non- interconnected Zones of Colombia. ; Energy Potential in Photovoltaic Solar Solutions in Non-Interconnected Areas of Colombia. ; Photovoltaic system, towards the energy transition from home. ; Blockchain model to increase the transparency of public sector processes. ; Intelligent agricultural irrigation prescription system based on sensor networks and crop modeling. ; Design and implementation of a digital modulation classification system using intelligent algorithms. ; A mobile application proposal to minimize intermediation during agricultural process distribution of products in supply chain. ; Accompanying strategy for the social appropriation of new technologies in vulnerable agricultural communities: case in communities producing Gulupas fruits (Passiflora edulis Sims). ; Predictive model of transparency as an indicator of Public Policies. ; Smart system for recognition of ripening level in blackberry fruits. ; Project-based learning as an alternative methodology for technological education in electronics. ; Design and construction of an automated system for N. ; Four bar mechanisms (FBM) and their Software-Based applications: a reviewFT aquaponic culture of Red Carp and Crespa Lettuce. ; Intelligent search implementation for the construction of states of the art: a python application. ; Indoor and Outdoor propagation models on 5G environments: state of the art. ;The electronic detection of offenders (DOO) in the District Secretary of mobility of Bogotá: a step forward in the configuration of the concept of digital citizenship in Colombia. ; Monitoring through ICT of Mobility: technological collaborative feature to incorporate IoT in a Smart City. ; Characterization model of asphalt mixtures using digital image processing. ; Review: identification of diseases and/or pests in fruit trees through image processing techniques and artificial intelligence. ; VRS applicated to Nasa Yuwe language. ; Application of Pix2Pix for edge reconstruction in images. ; Brushless DC Motor Control System for Active Myoelectric Prosthesis. ; Implementation of a Water Conductivity Measuring System. ; 2 DOF robot programmed with MatLab® (guide and Peter Corke) and Arduino uno for writing alphabetical characters. ; Simulator of the behavior of the center of mass in a quadruped robot. ; Biomimetic prototype for flapping movement of bat

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat