Procesamiento de imágenes satelitales para caracterizar comportamiento de suelos mineros en el Perú

Determina el procesamiento de imágenes satelitales que logran caracterizar el comportamiento de suelos mineros en el Perú. Para el procesamiento de imágenes se utilizó la herramienta SOPI, que es un software geoespacial que tiene herramientas para visualizar, gestionar y hacer análisis de imágenes satelitales. Esta herramienta se adapta a las características de las misiones satelitales de observación de la Tierra. La metodología utilizada es bajo el enfoque no experimental, con un diseño descriptivo. La población fue cuatro puntos geográficos según latitud y longitud, correspondiente a la Provincia de Espinar en la unidad de la Mina Tintaya. Se empleó la revisión de documentos y 07 bandas en una imagen. Los resultados de la investigación, fue identificar que, en los lugares más cercano al relave, hay mayor presencia de colores amarillentos y tostado, que representa suelo sin cobertura, con presencia de color marrón tostado que representa poca o ninguna vegetación y el color azul oscuro representa agua en reposo no dominante en el paisaje. La investigación es una propuesta novedosa porque permite analizar gráficamente el estado del suelo por trabajos mineros, logrando el objetivo que es la caracterización del lugar en estudio, obtenidas a partir de la presencia de colores y la longitud de la onda, de igual manera se presentan trabajos futuros que podrían realizarse a partir de la presente tesis.Tesi

Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

The images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented in proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body

Emotional intelligence and its relationship with academic stress, in high school students, an approach to the computational model

Workshop on Technological Innovations in Education and Knowledge Dissemination, April 22 – 24, 2022, Chennai, IndiaEmotional intelligence is one of the factors that all people are exposed to, in the various activities we carry out, education is not alien, with more emphasis on students, in these times of pandemic, even more so, originating a level of stress inherent to academic activities, in this work we measure these two variables, applied to secondary school students, to know how this is the behavior of the variables under study, the results show that they present a considerable relationship, for the same effect of the online classes, a computational model is also presented where a model of how to evaluate these variables with their respective dimensions is presented, the model was carried out using the Matlab tool with neural network techniques.Campus At

Application of neural networks in the teacher selection process

The information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the educational institution and a second group with candidates who do not meet the policies of the educational institution, with which sensitivity values ​​of 93% and a specificity level of 86% were obtained, we conclude that the model presented can be replicated and conditioned to the needs and policies of each educational institution

Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

The images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented in proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body