Pregrado Ingeniería Electrónica
URI permanente para esta colecciónhttp://hdl.handle.net/11634/205
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Envíos recientes
Ítem Viabilidad Técnica De La Producción De Biogás Mediante La Supervisión Remota De Un Biodigestor Anaerobio(Universidad Santo Tomás, 2023-12-04) Quimbayo Tovar, Carolina; Garrido Silva, Gianina; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001538476; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001767681; https://scholar.google.com/citations?user=kFV2TV0AAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-6607-9626Context This tesis evaluates the technical viability of biogas production with the food waste and grass from the Santo Tomás University, San Alberto Magno Sports Campus, with monitoring the process . Method A case study methodology with a quantitative approach is implemented, since it allows data analysis between two or more groups of results, as well as in the experimental design with repetition, a behavior can be established, discarding or corroborating a hypothesis. Results The results indicate that when activating the inoculum with water, production occurs 2 weeks after carrying out the experimental design with the production of only two ratios where the best is (1:2) of inoculum:water, which had more production in volume and biogas. Subsequently, the test is carried out with the previous relationship and a co-digestion is carried out, in this the volume is obtained after 3 days, the best relationship is 50%RP-50%RC compared to 70%RP(Pruning Waste)-30%RC(Food Waste) and 30%RP(Pruning Waste)-70%RC(Food Waste). Monitoring improves the data collection process, since spending hours taking biogas samples in the laboratory and documenting them, with monitoring it takes a few minutes to enter and view them from a web page, and finally the sizing is done with the data obtained in the previous stages, where it can be seen that the production of biogas with this inoculum is low. Conclusions Sizing is possible considering the amount of inoculum and waste such as pruning and food waste from the Santo Tomás University, San Alberto Magno Sports Campus. The study shows a very low methane production, this is because the inoculum used has low levels of volatile solids, which are directly proportional to the production of biogas, it is very likely that by using another inoculum the production will increase. Making use of university waste. In addition, an improvement in data collection is shown that helps to better monitor the mixture inside the reactor and consequently reducing the error rate in the processÍtem Sistema de Control Automatizado de Riego Preciso para Cultivos de Maíz Porva de Clima Frío en Paipa-Boyacá.(Universidad Santo Tomás, 2025-01-22) Cifuentes Diaz, Nicolas; Ávila Barón, Adolfo; Universidad Santo TomásÍtem Desarrollo de un Sistema de Automatización de Informes con AppSheet y Python(Universidad Santo Tomás, 2024) Martínez Cárdenas, Juan Sebastian; Ávila Barón, Adolfo; Universidad Santo TomasThe undergraduate project titled "Development of an Automation System for Reports using AppSheet and Python" addresses the need to digitalize and optimize the maintenance processes of biomedical equipment. This project arises as a response to the inefficiencies of current manual methods, which involve increased time and a higher likelihood of errors. By combining tools such as AppSheet for application development and Python for process automation, the goal is to enhance the management and generation of reports, ensuring accuracy, traceability, and resource savings. This proposal has the potential to transform maintenance management in hospital environments, aligning with digital transformation trends in biomedical engineering.Ítem Implementación De Técnicas De Machine Learning Para El Diseño De Un Mecanismo Exoesqueleto Controlado Por Señales EMG(Universidad Santo Tomás, 2024) Palacios Pardo, Jorge Iván; Martínez Vásquez, David Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001560096; https://orcid.org/0000-0001-9750-2653The industrial field requires that its workers effectuate heavy physical activity, one of the most common activities is the lifting and carrying of heavy objects, which requires great muscle activation on the biceps, depending on how heavy the object is. The incorrect development of such activity can result in skeletal-muscle injuries like muscle tears and the development of tendinitis, so it is important to develop these activities adequately. For this reason, machine learning and existing datasets of electromyography can be implemented to determine when a person is doing an incorrect lifting and thus prevent a muscular injury. This will be developed with the creation of a classifier algorithm through the programming language Python and a dataset from a previous study with a similar purpose, and the result will lead to the theoretical development of an arm exoskeleton that could reduce muscle tension of the user when they effectuate a movement that could risk the bicep’s integrity.Ítem Parametrización de estructuras metamateriales mediante la aplicación de un algoritmo bioinspirado para filtros en comunicaciones a nivel de simulación(Universidad Santo Tomás, 2024) Olivera Dimate, Katherin Gyssell; Mateus Rojas, Armando; Diaz Pardo, Ivan Eduardo; Higuera Castro, Gustavo Adolfo; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000680630; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000688860; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000742198; https://scholar.google.com/citations?hl=es&user=s301RbcAAAAJ; https://orcid.org/0000-0002-2399-4859; https://orcid.org/0000-0002-0347-6157; https://orcid.org/0000-0001-5945-4312This work takes advantage of the potential on emerging technologies such as metamaterials, which are an innovative proposal facing the different challenges presented in areas of modern engineering such as: optics, diagnosis images, material’s science, electric engineering, embedded systems, invisibility, wireless communications, among others. Metamaterials are still on study and experimentation phase, but it has been discovered to be very promising due to its versatility and numerous possibilities of application in the context of electromagnetic waves. Given that the field of study of metamaterials still faces significant challenges regarding the design and fabrication of their structures, the parameterization of Frequency Selective Surfaces (FSS) metamaterial cells is proposed using a bio-inspired algorithm, in passband filtering scenarios for waveguides. This method was selected, due to the lack of requirement of mathematical model for the situation, being appropiated for solving problems with high mathematical complexity, for this case the electromagnetic theory typical of metamaterials. Initially, a literature review was performed to obtain previous models of FSS structures, specifically complementary split-ring resonators (CSRR) and omega (Ω) types with filtering characteristics between 1.7 GHz and 3.3 GHz. Subsequently, the selected geometries were tuned to a central frequency of 2.4 GHz, obtaining the initial parameters of each of these structures, including radius, width and distance, among others. To simplify the filter design process to be adaptable to different operational settings, such as bandwidth, a bio-inspired algorithm was used. This algorithm dynamically adjusts the geometric parameters of the metamaterial structures using performance metrics that evaluate if the obtained response for each case approximates the requested one. Finally, results are validated in simulated test scenarios related to passband filtering processes in the WR340 waveguide. This validation process ensures the effectiveness and accuracy of the designed filters, demonstrating the viability and usefulness of the developed proposal.Ítem Diseño Óptimo de Topologías en Microrredes Eléctricas Bajo Consideraciones de Eficiencia y Acople Sectorial(Universidad Santo Tomás, 2024) Lozano Moya, Nicolás; Paternina Duran, José Luis; Universidad Santo Tómas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001652171; https://orcid.org/0000-0001-8138-9588; https://orcid.org/0009-0009-5159-8501This research project addresses the optimization of multimodal electrical microgrids, considering their topology, operation mode, sector coupling elements, and load type. The objective is to determine the optimal topology that minimizes microgrid costs. To achieve this, a case study methodology was employed, developing load consumption models, distributed energy resources (DER), and sector coupling elements for each typical day of the year. Various electrical microgrids were designed with different topologies, bus voltages, and load types, considering the necessary converters and their efficiency. Based on the information obtained from the models, a mixed integer linear programming (MILP) optimization problem was proposed to minimize costs. This type of model is suitable for linear problems that include binary and continuous variables. The results demonstrate that the AC topology microgrid in isolated operation mode generates the lowest cost, primarily using AC load. This is because the AC topology requires fewer converters, which have a higher individual cost. In summary, this project provides an optimal multimodal electrical microgrid considering various factors that influence its cost. AC topology in isolated operation mode with majority AC load is presented as the most economical option for the analyzed case study.Ítem Metodología de selección de protocolos web basado en parámetros de interés(Universidad Santo Tomás, 2024) Perez Salas, Bryan Steven; Segura Torres, Dario Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001375771; https://orcid.org/0000-0001-9205-9736Ítem Implementación de Rutinas en ROS2 para la Aplicación de Algoritmos Multiagentes en el Movimiento de Robots Tipo Soccer Small Size.(Universidad Santo Tomás, 2024) Castiblanco Rey, Daniel; Vega Otálora, John Felipe; Martinez Vasquez, David Alejandro; Amaya, Sindy Paola; Mateus Rojas, Armando; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001560096; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000796425; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000680630; https://scholar.google.com/citations?user=Gg2sofAAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-9750-2653; https://orcid.org/0000-0002-1714-1593; https://orcid.org/0000-0002-2399-4859The present work aims to address the implementation of routines inherent to multi-agent systems through the Robot Operating System in its second version (ROS2) for the STOx’s team; ROS2 facilitates the implementation and development of robotic systems. This is an innovative proposal in response to the various challenges faced by robotics, such as autonomous naviga- tion and efficient collaboration between robots. Therefore, with the support of ROS2, the aim is to improve the coordination and performance of the group of robots in test scenarios, thus contributing to the advancement of this research resource. Contributions of this work include the development of multi-agent behaviors for the STOx’s team robots and a computer vision mechanism that allows the localization of each robot-agent from a side camera perspective instead of the normally used top-down perspective. The STOx’s team, from the Robotics Group of the Universidad Santo Tomás, developed a group of robots for the Soccer Small Size League (SSL), participating in the RoboCup competition from 2011 to 2017 with very good results. Due to the low usage of the group of robots over a long period of time (from 2017 to 2023), various challenges arise in developing the project. This is because several robotic platforms may be non-operational or may require maintenance. Therefore, it was decided to handle a small number of functional robots, which are ideal for tackling the development of the project due to their versatility and precision. This choice allowed for guaranteeing the project’s feasibility by taking advantage of the available resources and ensuring the validity in the implementation of the proposed algorithms. Initially, a literature review was conducted to obtain models of multi-agent algorithms, as well as tools that would allow real-time and stable detection of the group of robots. Subsequently, different techniques were implemented for the detection and localization of the group of robots,making it possible to test their movement in a delimited environment and to carry out tests satisfactorily. Finally, the functionalities corresponding to the movement of the robots, as well as their detection and localization, were transferred to ROS2. Likewise, the multi-agent models previously tested in simulation were adjusted to verify their functionality in the given environment through the robots, thus carrying out the validation process of the proposal on a physical scenario. As a result, the robots achieved coordinated movements based on the implemented multi-agent algorithms.Ítem Diseño del sistema de propulsión eléctrico de una rueda de bicicleta con su estación de carga para biciusuarios de la Universidad Santo Tomás sede Central(Universidad Santo Tomás, 2024) Casas Martin, Alejandro; Palomino Boshel, Juan Palomino; Bermudez Fajardo, Diana Alejandra; Garrido Silva, Gianina; Universidad Santo TomásIn response to the vehicular chaos and air pollution in Bogota, this project develops an electro-lane and an electrically assisted bicycle wheel. It seeks to promote sustainable and efficient urban mobility. The use of electric bicycles will reduce conventional vehicles, relieving congestion and pollution. The electric pumps, taking advantage of renewable energy, will charge the bicycles, contributing to the reduction of environmental pollution. The research is based on a product development approach, combining design, engineering and technology analysis. An iterative methodology is employed, including keyword research, literature analysis, concept generation, system-level design and detailed development. Tools such as SolidWorks, SuperDecisions and PowerEsim are used for design and analysis. Applications such as Google earth and Arduino Cloud are used for telemetry. Product validation is done through field testing and real time data análisis. The successful design of an electric fuel cell and an electric bicycle wheel with its respective telemetry system is achieved. These products demonstrate their technical and functional feasibility, as well as their efficiency in terms of autonomy and performance. This study presents significant advances in the implementation of solutions for sustainable urban mobility. From a methodological and technical perspective, it highlights the product development approach used and the integration of emerging technologies. These results offer opportunities for policies and projects oriented towards more sustainable mobility in urban cities.Ítem Sistema de Identificación y Recolección de Productos Agrícolas para el Brazo Robótico ReactorX200 Basado en Segmentación Semántica(Universidad Santo Tomás, 2024) Nieto González, Holman Danilo; Mateus Rojas, Armando; Amaya, Sindy Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000680630; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000796425; https://scholar.google.com/citations?user=Gg2sofAAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-2399-4859; https://orcid.org/0000-0002-1714-1593Ítem Automatización de un Cicloparqueadero "LockBikeRack"(Universidad Santo Tomás, 2024) Cruz Chaparro, Juan Pablo; Segura Torres, Dario Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001375771; https://scholar.google.com/citations?user=HjAgiw0AAAAJ&hl=es&oi=ao; https://orcid.org/0000-0001-9205-9736In this project, the design and implementation of an electronically controlled padlock system for a bicycle rack is developed, with the aim of providing an automated service that represents efficiency and confidence for both the user and the owner of the bicycle parking lot. Through automation and programming, as extensive areas of Electronic Engineering, the application that determines the availability of quotas in the bicycle parking lot of the Santo Tomás University is carried out; the individual posts are equipped with a latch mechanism, the activation of which is determined by the reading of built-in cards with an NFC chip, to validate the existence of the user in the system's database. By using a rack and pinion gear mechanism, the movement of the electric motor is transmitted to the lock latch; an Arduino program was made to have access control and activation of the system, thus guaranteeing entry only to registered users. To carry out the above, a methodology was used in stages with a qualitative approach that allowed completing the established objectives and thus obtaining a product that meets the proposed characteristics.Ítem Sistema de Localización para Vehículos Autónomos Basado en Visión Artificial(Universidad Santo Tomás, 2023) Puerto Hernández, Juan David; Calderón Chávez, Juan Manuel; Amaya, Sindy Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000380938; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000796425; https://scholar.google.com/citations?user=Gg2sofAAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-4471-3980; https://orcid.org/0000-0002-1714-1593The present thesis aims to develop a system for the georeferencing of an autonomous vehicle based on computer vision, with a specific focus on the use of neural networks, applied on the Amazon Web Services (AWS) DeepRacer platform. An innovative application of Convolutional Neural Network (CNN) as a regressor was explored to address the challenging task of localization in the AWS DeepRacer autonomous vehicle. The CNN, trained with a comprehensive dataset of images and spatial coordinates, proved effective in accurately predicting locations in a two-dimensional environment. Additionally, the perfor mance of the CNN was thoroughly evaluated in comparison to the Lighthouse Position Deck positioning system, highlighting the latter’s importance as a crucial reference framework. Spe cific CNN models that exhibited outstanding performance, minimizing discrepancies between predictions and actual coordinates, were identified. The research provided valuable insights into the effectiveness of CNNs in specific environments, establishing a foundation for the continuous optimization of localization systems in AWS DeepRacer. The comparison between CNN and the Lighthouse Position Deck system contributed to a comprehensive understanding of the approa ches, their strengths and limitations, and pointed out areas for future research in the field of autonomous vehicles. The application of computer vision and neural networks plays a central role in this project, empowering the autonomous vehicle to process and interpret its environment through visual data. These technologies enable the identification of landmarks and local features, facilitating the precise calculation of the vehicle’s position in its surroundings. This approach represents a prominent application of artificial intelligence and deep learning in the context of autonomous navigation, emphasizing the relevance and impact of these innovations in the development of autonomous vehicles.Ítem Estrategia de Control Basada en Aprendizaje de Máquina para el Transporte de Carga Suspendida Usando Múltiples Robots Aéreos No Tripulados(Universidad Santo Tomás, 2024) Mora Díaz, Viviana Alejandra; Calderón Chávez, Juan Manuel; Amaya, Sindy Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000380938; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000796425; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001767215; https://scholar.google.com/citations?hl=es&user=Gg2sofAAAAAJ; https://orcid.org/0000-0002-4471-3980; https://orcid.org/0000-0002-1714-1593The use of Unmanned Aerial Vehicles (UAVs) is gaining increasing significance across various fields. One of the most valuable applications of this technology is the transportation of suspended loads, enabling the safe and efficient movement of objects to hard-to-reach locations. This makes it particularly useful for providing assistance in emergency situations, delivering essential supplies to remote regions, and facilitating rapid distribution services in urban areas. However, this approach presents significant challenges related to the coordination and control of multiple UAVs, the stability of the load during transport, and responsiveness to external disturbances that may impact their operation. This project focuses on addressing the problem of suspended load transportation using multiple UAVs by leveraging various machine learning-based approaches. The aim is to propose solutions to the limitations of this application while maximizing its potential capabilities. The document is structured as follows: Chapter 2 describes the problem, analyzing current limitations and posing a research question that will guide the project's development. Chapter 3 presents the state of the art, exploring previous works and existing solutions in specialized literature. Chapters 4 and 5 provide the project's justification and its social impact, as well as defining the specific objectives to be achieved. Subsequent chapters focus on the theoretical framework and the implementation of the proposed solution. Finally, Chapter 10 outlines the results obtained, and Chapter 11 draws conclusions from the work conducted. This structure facilitates a methodical and comprehensive approach to the various aspects of the problem, offering a clear perspective on the methodologies employed and the advancements achieved in the field of UAV control for suspended load transportation. In this way, the project aims to make a significant contribution to the development of more efficient and effective solutions in this area of growing technological and social importance.Ítem Estudio de Prefactibilidad Técnica para la implementación de una microrred híbrida con Energía Solar Fotovoltaica y Biomasa en el municipio Rionegro, Santander: Caso de estudio Finca "Si Dios Quiere".(Universidad Santo Tomás, 2024) Aguilera Gil, Valeria Victoria; Vanegas Barbosa, Yineth Valentina; Garrido Silva, Gianina; Ramírez Murillo, Harrynson; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001538476; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001614550; https://scholar.google.com/citations?hl=es&user=kFV2TV0AAAAJ; https://scholar.google.com/citations?hl=es&user=ou83QTIAAAAJ; https://orcid.org/0000-0002-6607-9626; https://orcid.org/0000-0002-3474-4783Context: This document presents a technical pre-feasibility study for the implementation of a hybrid microgrid with photovoltaic solar energy and biomass at the "Si Dios Quiere" farm, located in the municipality of Rionegro, Santander. It considers resources such as organic waste and solar radiation, which could undergo treatment to generate biogas and electricity with the purpose of meeting the needs of the farm, given that it is a Non-Interconnected Zone (NIZ). Method: Data science is applied to eliminate outliers and find data patterns. For photovoltaic solar energy, the clustering distribution technique is used, and for biomass, data processing is implemented to obtain a daily power density value (DPB) from methane 𝐶𝐻4 data [𝑝𝑝𝑚]. Results: The conceptual sizing of the system is developed, considering the farm's load chart, and the corresponding performance metrics are evaluated to assess the system's pre-feasibility. Conclusions: The implementation of biomass as a source of electrical energy is innovative since there are no projects similar to what is described in this document. It is also evident that performance metrics can estimate how the hybrid system would operate and whether it is feasible or not.Ítem Sistema de visión artificial para la identificación de ejecución de ejercicios físicos(Universidad Santo Tomás, 2024-10-02) Silva Amado, Hamilton stheven; Pardo Beainy, Camilo Ernesto; Universidad Santo TomasThis project develops a computer vision system for detecting and analyzing exercise execution in gym environments. The system utilizes convolutional neural network models, specifically Google's MediaPipe model, to recognize human poses and provide real-time feedback on exercise techniques, such as squats, deadlifts, pull-ups, among others. The research involves data collection and preprocessing through video recording in various scenarios, followed by the implementation of the computer vision model. The system's accuracy in identifying postures and estimating key joint angles was evaluated to improve exercise performance and prevent injuries. The results show the system's effectiveness in correctly detecting exercise techniques in real-time, making it suitable for gym applications to offer personalized and accessible supervision.Ítem Diseño e Implementación Móvil para Gestión de Solicitudes de Repuestos en Equipos Biomédicos y Registro de Dificultades Técnicas.(Universidad Santo Tomás, 2024) Claros Suarez, Luis Carlos; Alvarez, William; Avila, Adolfo; Universidad Santo TomasÍtem Clasificador de Fresa Usando Técnicas de Inteligencia Artificial(Universidad Santo Tomás, 2024) Camargo Robles, Juan José; Pardo Beainy, Camilo Ernesto; Gutiérrez Cáceres, Edgar Andrés; Universidad Santo TomásIn the development of this research, several artificial intelligence algorithms are implemented for the classification and detection of strawberry maturity level. The images acquired by the sensing system of a conveyor belt were subjected, on the one hand, to Machine Learning and Deep Learning algorithms, oriented to the classification of the fruit into two categories, defined by their maturity characteristics and nutritional deficiencies (visual affectations), and, on the other hand, to Deep Learning algorithms, oriented to the extraction of features to determine their maturity level. A public dataset was created from scratch with the aim of making it available to anyone who needs it. To achieve a satisfactory classification, models were trained using the YOLO architecture, specifically the YOLO architecture, specifically version eight, which allowed us to successfully classify the fruit. fruit classification successfully. Subsequently, tests were carried out on the previously classified images, using techniques such as segmentation were then tested on the previously classified images, using techniques such as thresholded background segmentation and chromatic segmentation. chromatic segmentation. These feature engineering techniques facilitated the detection of fruit maturity level. maturity level of the fruit.Ítem Dimensionamiento de Sistemas Fotovoltaicos Domiciliarios a Través de una Aplicación Web.(Universidad Santo Tomás, 2024) Santana Cardozo, Linda Lissett; Segura Torres, Dario Alejandro; Paternina Duran, Jose Luis; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001375771; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001652171; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001766708; https://scholar.google.com/citations?hl=es&user=HjAgiw0AAAAJ; https://orcid.org/0000-0001-9205-9736; https://orcid.org/0000-0001-8138-9588With the growing interest in the use of renewable energies, the dimensioning of photovoltaic systems has become a crucial area of research. In this context, there is a need for an accessible and effective tool to carry out this process efficiently. A methodology was selected for scaling autonomous photovoltaic solar power systems, which was applied to scale a system and compare it with other methods. The web application was developed using HTML, CSS and JavaScript in frontend, PHP in backend, and MySQL for database. Precise and efficient dimensioning was achieved using the selected methodology, highlighting the importance of a tool such as the proposed web application. The findings reveal the feasibility and relevance of this approach for the design of autonomous home photovoltaic systems. The web application provides a practical and affordable solution for the dimensioning of autonomous solar photovoltaic energy systems, with potential to facilitate the implementation of renewable energies in the home. This project contributes to a useful and effective tool for promoting the use of clean and sustainable energies in society.Ítem Desarrollo e Implementación de un Sistema Informático que Contribuya en la Reactivación Económica de los Negocios Cercanos a la Universidad Santo Tomás Sede Central(Universidad Santo Tomás, 2023) Vargas Parra, Miguel Angel; Segura Torres, Dario Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001375771; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001722626; https://scholar.google.es/citations?hl=es&user=HjAgiw0AAAAJ; https://orcid.org/0000-0001-9205-9736; https://orcid.org/0000-0003-0583-033XIn this work, a computer system (mobile application) is designed that provides a communication channel for the student company in order to encourage the economic reactivation of merchants near the Santo Tomás University, headquarters. Taking this into account, a market survey is initially carried out through surveys of the students of the main campus of the Santo Tomás University and the shopkeepers near it. This with the aim of knowing the perspective and needs of the target population from the point of view of the owner of the establishment and the consumer. Based on the results of the surveys, the necessary requirements for the development of the application are identified. This involves determining the functionalities, features and services that it must offer to meet the needs of the already determined target audience. For this, a methodology that is based on the creation of prototypes is used, which allows a rapid and continuous iteration, where the prototypes are refined and improved depending on the feedback received. The application is then developed and deployed to a local server. Previously generated prototypes are used as the basis for development, ensuring that the necessary functionalities and features are implemented correctly. Finally, a pilot test is carried out to verify its effectiveness. Different shops near the university are searched and surveys are carried out again with shopkeepers. Finally, it is determined that the mobile application was successfully developed and with a 100% viability proved to be an efficient tool to foster collaboration and improve the experience of both students and merchants, thus strengthening the relationship between the student community and local businesses.Ítem Sistema Basado en una Aplicación Móvil de Ventas de Joyas para Generar un Ingreso Económico Alternativo a Madres Cabeza de Hogar(Universidad Santo Tomás, 2023) Escobar Rueda, Willan David; Rangel Sarmiento, Diego Mauricio; Segura Torres, Dario Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001375771; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001767689; https://scholar.google.es/citations?hl=es&user=HjAgiw0AAAAJ; https://orcid.org/0000-0001-9205-9736The graduation project illustrates the process of designing, implementing, and using a mobile application developed in Flutter for the sale of jewelry, with the purpose of making it usable by single mothers. This project was carried out in collaboration with the Social Projection Center of Cazucá, involving the mothers who are part of it. This is particularly relevant because single mothers in Colombia constitute a vulnerable group. With this project, we aim to generate an economic activity they can benefit from. When working with the Social Projection Center, our goal was to make the project as realistic as possible. The prototype design was implemented following the guidelines from the book “Effective Prototyping for Software Makers“, where the objective was to create a proposal as concrete and coherent as possible to avoid scattered proposals or sudden on-the-fly changes that would result in a loss of time. Additionally, we relied on Jacob Nielsen’s heuristics, which served as our guide to verify the application’s good acceptance. We used these heuristics to create a questionnaire directed at single mothers in order to obtain critical feedback on the project.