Una de las metas que tiene la escuela ‘Lic. Angélica Villón L.’ es el mejoramiento del nivel académico de sus estudiantes, para ello, contar con herramientas que permitan disponer de información académica a tiempo para la toma de decisiones resulta básico. Para este fin, se priorizan elementos como la población estudiantil, las calificaciones que alcanzan en cada nivel, el soporte familiar, entre otros; todo esto catalogado como el rendimiento académico del estudiante. No obstante, la evaluación de este indicador se encuentra limitada debido a la influencia de varios factores que requieren ser procesados de forma integrada en función de su nivel de influencia. La investigación realizada es de tipo observacional, nivel exploratorio; muestra el empleo de herramientas de inteligencia de negocios como soporte para la toma de decisiones; se crea un almacén de datos como repositorio unificado a través de procesos ETL; se entrena modelos de aprendizaje supervisado como máquina de soporte de vectores, redes neuronales y árboles de decisión de regresión para predecir el rendimiento académico. Los datos históricos de los estudiantes son la fuente para la aplicación de los modelos. Finalmente, se identifica el modelo que mejor precisión tiene a través de métricas válidas en el contexto de análisis de regresiones.

El sistema de transportación masivo urbano de la ciudad de Guayaquil-Sistema METROVÍA afronta problemas de consideración debido a que los usuarios no obtienen información veraz y oportuna de los autobuses, además de situaciones adicionales que degradan la calidad del servicio, por esta razón el principal objetivo de la investigación es realizar un análisis del funcionamiento del sistema de transportación, un estudio teórico de la tecnología RFID como herramienta para solucionar la problemática y proponer un diseño de red para el sistema METROVÍA. Los fundamentos teóricos del estudio están basados en investigaciones realizadas acerca de la calidad del sistema METROVÍA. La metodología que se aplica es empírica-analítica a este estudio de campo, de tipo descriptivo, con el respectivo método deductivo. Las conclusiones y recomendaciones se determinan en base a los objetivos planteados de la investigación y a situaciones experimentadas durante el desarrollo del estudio. The urban massive transport system of Guayaquil’s city – METROVÍA’s System has consideration problems because users do not have timely and truthful information of METROVÍA’s buses and additional situations. These have degrade service’s quality for these reasons the main goals about this investigation are: making an analyze of transport system’s operation, making an research about RFID technology as tool for solving problematic and proposing an network design for METROVÍA system. The theoretical bases are supported for researches about METROVÍA service’s quality. Methodology, which apply is empirical-analytical. This investigation is field research and descriptive type witch respective deductive method. Conclusions and recommendations are determinate witch relationship witch objects of the investigation and experimented situations during the research.

The control of workplace accidents is of extreme importance for companies for which prevention is encouraged through occupational safety and health programs. Nevertheless, up to 80% of workplace accidents are categorized as a product of human error and these, at the same time, have diverse causes such as environmental ones. The current preliminary investigation has as an objective to study the levels of correlation between accidents in industry and the space weather disturbances (Kp Index parameters and Intensity of cosmic rays). They are statistically correlated with accident rates parameters referred by open access data. Preliminary results show a strong linear correlation between the indices (rate) of accidents and space weather (Kp Index and Intensity of cosmic rays). It was also determined that when Kp≥4, there were significantly more accident occurrences than when Kp<4. As a conclusion, the so called human errors as a cause of workplace accidents could be in some measure induced by the geomagnetic storms, since there is a strong linear correlation of workplace accidents when there are geomagnetic storms. It would be possible to prevent these accidents every time these could be monitored prior to their occurrence.

After examining the current microsites and repositories situation in University, Peninsula of Santa Elena´s, it was found that information lacked optimal and appropriate semantic. Under these circumstances, there is a need to create a semantic web structure model for Universities, which was subsequently applied to UPSE´s microsites and digital repositories, as a test study case. Part of this project includes the installation of software modules with their respective configurations and the use of metadata standards such as DUBLIN CORE, to improve the SEO (Search Engine Optimization); with these applications, it was achieved the creation of standardized metadata and the creation of uploading information policies. The use of metadata transforms raw data into well-organized structures that provide information and knowledge to generate web engine search results. Upon completion of the implementation of semantic web model, it is possible to say that the university had improved its presence and visibility on the web through the indexing of information in different search engines and the categorization positioning of universities and Repositories in the Webometrics ranking (ranking Web of Higher Education Institutions Worldwide).