Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

Este trabajo usa el concepto de profundidad de datos, así como la carta de control no paramétrica r desarrollada por Regina Liu, para monitorear el desempeño estudiantil en un grupo de materias en una institución educativa en un período determinado de tiempo. La metodología usa un conjunto de referencia obtenido de los resultados mismos en lugar de estándares ideales. Este conjunto de referencia sirve para calibrar la carta de control y así monitorear datos subsecuentes. El concepto de profundidad de datos permite crear un índice univariado a partir, en este caso de dos variables, para generar un ordenamiento de “adentro” hacia “afuera” de la nube de puntos, siendo el punto más central el de mayor profundidad. El posterior cálculo del rango a partir de las profundidades es la base de la carta r.

It is important that Ecuador carries out a diagnosis of its renewable energy potential; therefore, the following study was executed with data obtained from meteorological stations and with the help of software developed by the National Laboratory for Renewable Energy, Model System Advisor (SAM ), where high enthalpy systems with parabolic collectors were designed in various areas of the upper basin of the Pastaza River, based on its solar energy potential and available area, to ge- nerate electrical energy and to predict possible locations for solar thermal power plants that do not cause a negative impact on the environment. Selected places are close to main roads, water sources, the national interconnected  electric network and there is no human intervention, these favorable conditions are found in Tunshi, Escuela Superior Politecnica de Chimborazo (ESPOCH), Chinga- zo, South of Chimborazo and North of Chimborazo areas. Areas with the highest energy produc- tion on average, were South of Chimborazo and North of Chimborazo and finally the financial analysis show a 20-year investment recovery with the current electric energy price established by Ecuador, at which the investment debt would be paid, therefore the project is feasible and will ge- nerate a positive impact in the country

Una aproximación para entender  los fenómenos con dinámica compleja es el análisis de datos. El escalado multidimensional permite visualizar el comportamiento de los sistemas y capturar su evolución espaciotemporal. Mientras que el cálculo fraccional, aplicado mediante Fractional State Space Portrait permite identificar clústeres en grupos de datos, incluyendo variables meteorológicas como la temperatura. Para ello se ha utilizado la información mutua multivariante para encontrar el orden de derivada óptima que ha dado como resultado una visualización mejorada del sistema dinámico de temperaturas en 11 estaciones meteorológicas de la provincia de Chimborazo durante el año 2015. En el mapa del Fractional State Space Potrait se ha logrado identificar dos grandes clústeres que representan las dos estaciones típicas de un clima tropical ecuatorial. Tales clústeres se encuentran fuertemente influenciados por los diversos microclimas presentes en un territorio heterogéneo.

: La elaboración de este modelo busca relacionar los delitos aduaneros con factores y covariables que influyen y faciliten el cometimiento de este tipo penal, por medio de la estimación de un modelo de Poisson. Para este estudio se relaciona el comportamiento de los indicadores socioeconómicos que se tiene en Ecuador, así como también, las devaluaciones del Peso colombiano y del Sol peruano, logrando identificar factores que generan el cometimiento de estos y como intervenir desde diversos ámbitos, tanto de control como prevención, en campos como social, control en territorio e intervención que fomenten la economía legal en ciudades de frontera.

El etiquetado del cable permite identificar distintas configuraciones y lotes de cables, así como conocer sus características. En el proceso de etiquetado del cable se pueden presentar distintos tipos de errores o defectos en el texto impreso, por ejemplo: ausencia de la etiqueta, corrimiento de la tinta, partes del texto faltante, texto ilegible y gotas de tinta. En este trabajo se presenta un prototipo de sistema para la validación del texto en cables eléctricos mediante técnicas de procesamiento de imágenes. El sistema propuesto integra dos etapas. En la primera etapa se propuso un método basado en clusterización por K-means que permite realizar el preprocesado de las imágenes para acondicionarlas. En la segunda etapa se realiza el reconocimiento óptico de caracteres utilizando el motor Tesseract OCR, el cual permite convertir el texto contenido en las imágenes en cadenas de caracteres. La experimentación se realizó utilizando una colección de 909 imágenes de cables eléctricos que contiene ocho tipos diferentes de cables, donde las imágenes están etiquetadas individualmente con la ground truth. La experimentación realizada permitió obtener una tasa de error promedio del 6.54%, 3.97% y 2.53% al validar el texto empleando tres, cinco y siete secuencias de etiquetas, respectivamente.

El surgimiento de la pandemia del COVID-19 generó una serie de problemas que debieron ser rápidamente resueltos sin contar con todos los recursos disponibles debido a las restricciones y las limitaciones impuestas. El trabajo presenta una innovación en el desarrollo de un prototipo que permite la desinfección de las manos por medio de líquidos que contienen alcohol sin la necesidad de que el usuario entre en contacto directo con el dispositivo, adaptado a la realidad ecuatoriana con partes que se pueden producir localmente.  Se plantean los retos que se superaron para tener un prototipo funcional, incluyendo el diseño de los dispositivos de censado y actuación que se escogieron para cumplir con los objetivos planteados, así como la estructura de control, incluyendo las recomendaciones para su correcto uso y las propuestas para la mejora del dispositivo mediante la utilización de los elementos del internet de las cosas (IoT)

Digital agriculture has arrived to solve the production problem that exists in the land, the ptimization of agricultural processes through sensors with IoT technology are being a great help so that  armers can produce more on their land and use the available resources of a more effective way. The trial that was carried out in the Palora sector in the cultivation of pitahaya, testing this new technology, resulted in having the data in real time allowing better decisions to be made when carrying out agricultural work without the need to be present in the plantation, such as Consequently, the environmental impact is minimized and a greater profitability of the crop is obtained. Once the information analysis had been carried out, it was determined that the area where the pitahaya crop is located does meet the necessary characteristics or the development of the crop, this could be contrasted by analyzing the data and monitoring the parameters in the intuitive agriculture module platform. The results obtained are an average of 7 mm / day of water in the pluviosity parameter, in terms of solar adiation, measurements were obtained with a ceiling of 2581.51 PAR, on the other hand, soil moisture had peaks of up to 16.40 cb, finally the temperature reached levels of 35.09 ° c.

This article presents the analysis of the inclusion of information and communication technologies (ICT) in the initial teacher training programs (FID) in Uruguay. The objective is to know how the digital teaching competence (CDD) are incorporated into the programs of the courses as part of the training of students, in the context of implementing a public education policy of digital inclusion in the country. Through the content analysis and under the methodology proposed by Krippendorff (1990), we analyse the programmes using a matrix of indicators to measure the CDD level. The dimensions considered are the foundations, objectives and contents. Based on the analysis, it was possible to infer inconsistencies in the coverage of the CDD among the components of the analysed programs. These are presented both at the level of dimensions and indicators, especially in the programs of the subjects "Information Technology”, Education, and Technology, but not in the "Education and Integration of Digital Technologies" program. In the "Computing" program, the components have some relation with the CDD, according to the matrix used for the analysis. As a most relevant conclusion, we emphasize that the programs, although in different ways, include most of the components of the CDD but do not respond to the current training needs in terms of competency-based training.

This paper describes the development and evaluation of various learning objects that will be used as components of a MOOC (massive open online course) within the framework of the Digital Production Communities managed by the CODAES network (Comunidades Digitales para el Aprendizaje en Educación Superior) in Mexico. The materials arise from the need to provide higher-level  students of computer-related occupations with different means of learning about complex and necessary subjects in their training. Current failure rates show that traditional teaching techniques have not been effective in achieving the learning of some topics such as programming; the data confirm that this competence is difficult for students to acquire and therefore it is necessary to seek learning alternatives. The research team developed as a central part of the preparation of the MOOC course on data structures, several learning objects that addressed the topics related to the use of binary trees. The evaluation of the students who used them was favorable in the aspects of perception of the usefulness of materials, the relevance of activities, the ease of tasks and the clarity of indications and questions. The evaluation results allow us to consider that the learning objects developed in this phase of work will be well received in the MOOC course in which they will be a part of.  

Every university professor constantly faces projects. These professionals must consider that the impact of any activity or project they carry out exceeds the personal scope or the institution where they work, influencing society as a whole, it is so they must optimize their management. Within the methodology proposed by the Project Management Institute, are considered the so-called areas of knowledge which are a set of notions of various areas, from which techniques and tools are taken, useful for managing projects. The areas of knowledge are classified into three types: essential, integration and support, being these lasted the center of the present article, which has as general objective to diagnose the management in areas of knowledge of support of the professors of the Service Technology Department of the Simón Bolívar University from Venezuela. For this diagnosis, a self-assessment questionnaire was used where potential improvements and training needs were identified to the areas of knowledge of support related to the management of human resources, communications, risks, acquisitions and stakeholders.