Browsing by Author "Solis Cabrera, Vanessa Alexandra"

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A comprehensive solution for electrical energy demand prediction based on auto-regressive models
(Springer Nature, 2020) Sáenz Peñafiel, Juan José; Luzuriaga, Jorge E.; Lemus Zúñiga, Lenin Guillermo; Solis Cabrera, Vanessa Alexandra; Sáenz Peñafiel, Juan José
Energy consumption and demand are two widely used terms necessary to understand the functioning of the different mechanisms used in electrical energy transactions. In this article, the design and construction of a comprehensive solution to forecast future trends in electricity transactions using the historical data and two auto-regressive models were considered. Simple linear regression and a complete model such as ARIMA. We compared these models to find which one best suits the type of data considering their strengths and weaknesses for this specific case. Finally, to complete the comprehensive solution, the results are presented to the final user. This solution is mainly aimed at professionals who carry out activities related to contracting and managing electricity supply in public institutions. This solution pretends to collaborate to reduce energy demand and therefore, consumption.
Efectos de la capacitación en el uso de herramientas informáticas en la docencia médica
(Universidad de Cuenca. Facultad de Ciencias Médicas, 2013-07) Ortiz Segarra, José Ignacio; Solis Cabrera, Vanessa Alexandra; Espinoza, Alexandra; Mayorga, María; Falconi, Felix; Sánchez, María; Ramón, Jamil; Villacís, Magdalena
Objective: To evaluate the effect of an educational strategy, aimed at teachers and undergraduate and graduate students in the area of health, for the application of information and communication technologies ICTs as support in the training process. Methods: We used a quasi-experimental design involving 477 students and 123 teachers, the same group was seen before and after training as exposed as above. The educational program included techniques for searching, processing, presentation and communication of information. The measure of effect was established as changes in the use of ICT for teachers and students, based on the McNemar test. Results: After the training process, teachers significantly increased their skills in the use of 50% of the tools and equipment and telemedicine resources and ethical September 6. Students improved significantly by 80% in the use of tools, 100% of telemedicine equipment and resources and September 5 ethical values selected for the study.
Generación de un modelo de calidad para la evaluación de objetos de aprendizaje utilizando notación i* e ISO/IEC 25010
(2018) Solis Cabrera, Vanessa Alexandra; Carvallo, Juan Pablo; Maldonado Mahauad, Jorge Javier
This study describes the process for the creation of a quality model that evaluates Learning Objects in terms of technology and didactics by using i* notation. In order to achieve the objective, quality models from both aspects were reviewed along with LO concepts and quality characteristics that a LO must accomplish were determined in order to consider the evaluation characteristics. The IQMC method was used to construct the diagram for strategic (SD) i* sections for the final quality model. With the SD model created, it was established the traceability between the generated model criteria and the ISO/IEC 25010 matrix to keep a correlation between the i* notation characteristics and the standard ISO matrix mentioned before. The matrix obtained was enriched with conceptual characteristics and with the attributes that a LO should fulfill. For each quality property included in final model was asigned appropiate metrics for your evaluation. As a result, a model through LO evaluation with each one of the selected metrics was generated.
Soluciones ante el caos genómico
(2020) Solis Cabrera, Vanessa Alexandra; Viñansaca Atancuri, Lourdes Catalina; Sáenz Peñafiel, Juan José
Research on the human genome has resulted in much data and information from its discovery to the present day. This information is useful for researchers but an extraction of genomic information is retrieved due to the large number of resources available on the web, this is largely due to the fact that tools that provide support to automate personalized searches are not currently available and that repeated information is discriminated. This work aims to propose and forge solutions that mitigate the problems they have at the time of genomic research. Starting from an exploration of human-oriented genomic databases, where evidence of problems that lead to the known “genomic chaos” has been found, and one root of this is solutions that help control and reduce it. In this way, being able to integrate the information in a better way, filter the information according to the research needs, have an adequate handling of the data, extract information regardless of the presentation of the data, and finally preserve the updated information