Maestría Ingeniería Electrónica

URI permanente para esta colecciónhttp://hdl.handle.net/11634/204

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Desarrollo de un modelo para la detección de ataques SSDF en redes de radio cognitiva móvil integrando técnicas de inteligencia artificial
(Universidad Santo Tomás, 2026-06-19) Yara Cifuentes, Lina María; Mateus Rojas, Armando; Cubillos Sánchez, Rafael Orlando; Cadena Muñoz, Ernesto; 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=0001040294; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001465749; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001470076; https://scholar.google.com/citations?user=1az5o_IAAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=a527iHIAAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=qTycqC4AAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=mXktf50AAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-2399-4859; https://orcid.org/0000-0002-3364-9127; https://orcid.org/0000-0002-1086-3665; https://orcid.org/0009-0007-4913-2601
Mobile Cognitive Radio Networks (MCRNs) enable dynamic spectrum access through the Cooperative Spectrum Sensing (CSS) technique; however, they present vulnerabilities to Spectrum Sensing Data Falsification (SSDF) attacks. Various studies have addressed this problem using machine learning techniques, trust models, and hybrid methods. This article presents the main results of a hybrid model that integrates Support Vector Machines (SVM), the K-Nearest Neighbors (KNN) algorithm, and a reputation system based on the Beta distribution to identify malicious users. Experimental validation using Software Defined Radio (SDR) demonstrates detection probabilities above 90%, a significant reduction in false alarms, and greater robustness under mobility conditions and low Signal-to-Noise Ratio (SNR) values.
Inspección visual de pista de aterrizaje mediante visión artificial para aeródromos colombianos cumpliendo los estándares de la ACNo:150/5320-17A de la FAA.
(Universidad Santo Tomás, 2025) Castiblanco Mojica, German; Vitola Oyaga, Jaime; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000379204; https://scholar.google.com/citations?user=dTnXldcAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0003-4367-0592
This thesis proposes a methodology for the treatment of digital images, specifically aimed at the computerized detection of pathologies in runway pavements. The visual characteristics of the imagesarestudiedandcontrastedwithmathematicalandstatistical concepts to formulate a standard processing model, valid for images without pathologies, with cracks, or alligator skin patterns. The research demonstrates how the model can classify images, which will be useful in the future for generating corrective and predictive maintenance programs for runways and improving the availability of airports.
Diseño De Un Mpc Para El Seguimiento De Una Trayectoria De Un Vehículo Articulado
(Universidad Santo Tomás, 2024-10-24) Mancipe Bohorquez, Hernan Alonso; Calderon Chavez, Juan Manuel; Amaya, Sindy Paola; Universidad Santo Tomas; 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=0001768780; https://scholar.google.com/citations?user=Gg2sofAAAAAJ&hl=es&oi=ao; https://scholar.google.com/citations?user=mi_vMFQAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-4471-3980; https://orcid.org/0000-0002-1714-1593; https://orcid.org/0000-0001-7449-4582
In Colombia, the mass passenger transportation systems of some main cities have articulated vehicles in their fleet, which travel from an origin to a specific destination. After they have finished their workday, these vehicles must be parked in a workshop yard in a small space. This action has been identified as repetitive and must be performed at a low speed. This is why, to reduce stress and fatigue to the drivers of these vehicles in the face of these monotonous events, this work describes a case study related to the optimal planning of the trajectory of an articulated vehicle, for which it has been taken as a reference the mass transportation system of the city of Barranquilla: Transmetro. The parking scenario (highest yard) has been recreated in MATLAB with their respective fixed obstacles: walls or other vehicles of equal dimensions. The trajectory from the initial point to the end has a high degree of complexity, which is why the required equality and inequality restrictions have been configured. To find the route, a multistage Model Predictive Controller (MPC) for nonlinear systems has been used, which recognizes these obstacles as collision objects. Random uncertainty has been added to the initial values of the initial position, in addition to modifying the relative weighting of its cost function that depends on the system inputs: the longitudinal speed and the angle of rotation, so that the simulation is carried out in Closed-Loop and thus its optimization will be ensured.
Integración de Tecnologías de Empatía con Plataformas Robóticas para la Motivación del Estudio de la Ingeniería Electrónica Dirigido a Estudiantes de Educación Media
(Universidad Santo Tomás, 2024) Sanabria Sanabria, Juan Emilio; Mateus Rojas, Armando; 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=0001537125; https://scholar.google.com/citations?user=xBDO-vQAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-2399-4859; https://orcid.org/0000-0001-7942-7004
This document presents the results of implementing a pedagogical strategy designed to motivate the study of electronic engineering among secondary education students, integrating empathy technologies with robotic platforms available at the Universidad Santo Tomás. The analysis is based on the application of instruments intended to measure motivation. From a preliminary survey conducted on the selected student population, parameters were established to develop an application in a multi-platform metaverse. This application, equipped with empathy technologies, was shared with the students to generate a comparative analysis and measure motivation using an instrument applied after the use of the developed technology. Finally, the collected data were analyzed and compared to develop the motivation measurement metrics and their corresponding conclusions.
Automatización De Los Módulos Hidrocavitador, Condensador Y Evaporador Para El Proceso De Producción De Aceite Y Otros Derivados Del Aguacate, Ubicados En La Universidad Santo Tomás - Sede Principal
(Universidad Santo Tomás, 2024-12-26) Ferreira Pereira, Sergio Alberto; Amaya, Sindy Paola; Mateus Rojas, Armando; Universidad Santo Tomás; 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://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001776028; https://scholar.google.com/citations?user=Gg2sofAAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-1714-1593; https://orcid.org/0000-0002-2399-4859
This document wants to show the state of art of the project “Design of a scale model for the extraction of avocado oil using a cavitation reactor” located at the Universidad Santo Tomas, a bibliographic analysis of studies already conducted and that have correlation with the extraction processes of avocado derivatives is presented, identifying the stages of the current process of the project with other processes and models, as well as characterizing the hydrocavitator, condenser and evaporator module with its current process variables, to identify the safety of the process and reduce the use of chemical solvents in the current process. There are several methods of avocado pulp or oil extraction, but these can be uneconomical and have high and complicated design levels. The method of extraction of avocado pulp and oil by means of the hydrocavitator, condenser and evaporator modules can present a simple agro-industrial potential, obtaining a product that is not exposed to chemicals, raising the nutritional value of the products obtained and adding value at the environmental level. In the food area, the hydrodynamic cavitation method is a clean and very useful technology. Currently the hydrocavitator, condenser and evaporator modules operate independently, the transfer of the product obtained in the hydrocavitator, which is a mixture of a solvent with the avocado fluid, is done manually, this phase of the process is risky because there is exposure to the fluid; after this phase the evaporation and condensation process is performed which is a process that does not have a suitable level of automation. Avocado products are showing an increase in national and international demand, so an economic, environmental and nutritional analysis of each of the extraction methods is required to know their possible impacts in each area.
Diseño de un Sistema de Conducción Autónoma Basado en Aprendizaje Profundo
(Universidad Santo Tomás, 2024-12-18) Aristizabal Bossa, Willian Alejandro; Calderón Chávez, Juan Manuel; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000380938; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001559976; https://orcid.org/0000-0002-4471-3980
This project is based on the design and implementation of a navigation system for autonomous vehicles using deep learning to develop an end-to-end approach. This allows the neural network to perform the entire task of driving the vehicle in a single module, having as input the images of the journey from a single central RGB camera and the measurements from a distance sensor. The outputs are the steering angle, the throttle and brake position. The neural network model was trained and evaluated in a section of a virtual city of the Carla Simulator software, with three different weather conditions and various scenarios with/without obstacles, with excellent autonomous driving results.
Industria 5.0 y el IoT: Transformando la Monitorización y Control de Procesos Industriales
(Universidad Santo Tomás, 2024-09-20) Rivera Salazar, Diego Armando; Gélvez Lizarazo, Óscar Mauricio; Garrido Silva, Gianina; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001342623; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001892850; https://scholar.google.es/citations?hl=es&user=XOhDruwAAAAJ; https://orcid.org/0000-0001-6858-5293
The research explores the impact of the Internet of Things (IoT) on Industry 5.0, focusing on the benefits and challenges of its integration in industrial environments. The main objective is to analyse how IoT contributes to improving efficiency, safety, customisation and sustainability in industrial processes. Key IoT technologies, such as advanced sensors, communication networks and data analysis systems, and their applications in process optimisation and real-time monitoring are identified. Despite significant benefits, such as reduced operational costs and improved human-machine collaboration, significant challenges are highlighted, including security concerns, interoperability and upfront costs. In addition, case studies of companies that have adopted Industry 5.0 are investigated, revealing improvements in productivity and market adaptation. These cases provide concrete evidence of the value of IoT in modern industry, highlighting both achievements and areas requiring continued attention. Finally, directions for future work are suggested, such as the development of universal interoperability standards, advanced strategies for data protection, and methods for reducing costs, in order to maximize the benefits of IoT and maintain innovation in Industry 5.0.
Identificación de Métodos para Evaluar la Vulnerabilidad en Redes Eléctricas de Distribución con Integración de Generación Distribuida
(Universidad Santo Tomás, 2024) Montenegro Socha, Randy José Agustín; Vitola Oyaga, Jaime; Toro Tovar, Billy Vladimir; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000379204; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001402348; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001640333; https://scholar.google.es/citations?hl=es&user=dTnXldcAAAAJ; https://orcid.org/0000-0003-4367-0592
The present work focuses on identifying methods to assess vulnerability in electric distribution networks that integrate distributed generation, a key aspect within the framework of the energy transition. The incorporation of renewable energy sources, such as solar and wind, along with the increase in electric vehicles, introduces new challenges that affect the stability of these networks. The state-of-the-art review aims to address the need to analyze how these changes influence the resilience and robustness of distribution networks. A detailed review of the state-of-the-art was carried out by consulting various academic databases, classifying existing methods based on their probabilistic, deterministic, or simulation-based nature. One of the selected methods was simulated to evaluate the vulnerability of a distribution network with distributed generation. Several methods for vulnerability assessment in distribution networks with renewable energy sources were identified and classified, such as the TOPSIS method and complex network analysis. The G1 order relation method was chosen for the simulation, which showed that certain nodes and lines in the network are more vulnerable due to voltage instabilities and overloads. This work provides a methodological framework for evaluating vulnerability in distribution networks with high integration of renewable energy sources. The results highlight the importance of combining subjective and objective approaches in the weighting of vulnerability indicators. The state-of-the-art review offers valuable tools for network operators (OR) to improve the planning and operation of more robust and resilient networks against failures and fluctuations.
Detección de Patrones de Fatiga Cognitiva Mediante Aprendizaje Automático
(Universidad Santo Tomás, 2024) Garzón Melo, Héctor Leonardo; Martínez Vásquez, David Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001560096; https://scholar.google.es/citations?hl=es&user=U5Qf1nUAAAAJ; https://orcid.org/0000-0001-9750-2653
This research presents a comprehensive investigation into the current state of cognitive fatigue detection through the analysis of physiological signals, specifically electrocardiogram (ECG) and electrodermal activity (EDA), using machine learning techniques. The study is based on a critical review of recent scientific literature, focusing on the effectiveness of various machine learning approaches such as Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) in identifying cognitive fatigue patterns. The investigation explores the efficacy of feature selection techniques for ECG and EDA signals, aiming to identify the most relevant indicators for cognitive fatigue detection as reported in current literature. A key aspect of the research is the examination of individual and cross-population variability, analyzing transfer learning strategies and cross-validation methods proposed by other researchers. This study's scope is purely exploratory, synthesizing existing knowledge without developing new systems or algorithms. It provides a comprehensive overview of the state-of-the-art in non-invasive cognitive fatigue detection using physiological signals and machine learning. The findings and conclusions derived from this analysis offer valuable insights into current methodologies, challenges, and future research directions in this field. By consolidating and critically examining the latest advancements, this research aims to establish a solid foundation for future studies in cognitive fatigue detection, contributing to the ongoing efforts to enhance safety and efficiency in high-stakes environments where sustained cognitive performance is crucial. Keywords: Cognitive fatigue, ECG, EDA, Machine learning, Physiological signals, Transfer learning
Formación Adaptativa de Sistemas de Enjambres de Drones por Medio de la Técnica de Pastoreo
(Universidad Santo Tomás, 2024-06) Macias Cifuentes, Edson Farid; Martínez Vásquez, David Alejandro; Calderón Chávez, Juan Manuel; Amaya, Sindy Paola; 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=0000380938; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000796425; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001103210; https://scholar.google.es/citations?hl=es&user=U5Qf1nUAAAAJ; https://scholar.google.es/citations?hl=es&user=Gg2sofAAAAAJ; https://orcid.org/0000-0001-9750-2653; https://orcid.org/0000-0002-4471-3980; https://orcid.org/0000-0002-1714-1593
This project is based on the design and implementation of adaptive swarm systems of drones using herding techniques. The main objective is to develop efficient methods to control and coordinate multiple drones that can avoid obstacles and be guided to a coverage area by another group of agents called shepherds. Algorithms such as Boids and reinforcement learning techniques, including Q-learning and Multi-Agent Reinforcement Learning (MARL), are used. Similarly, modifications and improvements were made to the algorithms to achieve better results. Simulations are conducted in environments like CoppeliaSIM, experimentally validating the effectiveness of the proposed techniques. The results demonstrate significant improvements in the coordination and efficiency of drone swarms compared to traditional methodologies.
Detector de Personas con Armas de Fuego a Partir de un Sistema de Visión Artificial Basado en el Análisis de Posturas Corporales
(Universidad Santo Tomás, 2023-02-01) Durán Caicedo, Alfonso; Calderón Chávez, Juan Manuel; 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=0001672896; https://orcid.org/0000-0002-4471-3980
In the social environment, every day it is appreciated how insecurity is an overwhelming evil, both for people and for the community in general. The most used objects to perpetrate this type of criminal acts are firearms. With this project, it is proposed to implement a system based on artificial vision that can, through Deep Learning algorithms and body positioning tools such as OpenPose, recognize a person with a firearm. The classification of objects or firearms is implemented with convolutional neural networks (CNN). To make this image processing faster and more effective, several development techniques will be used on Google Colab, Jupyter Lab, Oracle Virtual Machine and Git Bash, also taking advantage of the use of an NVIDIA RTX A5000 model GPU card for faster execution of each of the steps of the proposed development. The proposed project phases are five: database development, model training, validation, OpenPose implementation, model results. It also has several sub-phases that allow the efficient implementation of the project. Finally, the system made it possible to confirm the dangerous activity with a firearm through detections obtained through videos in real time.
Estrategia virtual enfocada a la industria 4.0 sobre una planta piloto industrial.
(Universidad Santo Tomás, 2022-10-06) Martínez Herrera, David Leonardo; Universidad Santo Tomás Tunja
This work shows how a tool related to industry 4.0 was developed and its implementation to be used in teaching-learning processes, especially in the area of industrial automation of the Faculty of Mechatronics Engineering of the Universidad Santo Tomás - Bucaramanga Seccional Colombia. This tool was made following the methodology of analysis, foundation, design and finally an implementation. The tool has been made through a local web page and a mobile application in charge of controlling, storing, generating reports and issuing data obtained by a Siemens s7-1200 PLC controller, from an instrumented industrial pilot plant. The page stores an interface for an initial didactic control, to generate reports from a MySQL database and an interface in charge of monitoring with a supervision system (SCADA). The mobile application runs on Android and has interaction interfaces for the control and monitoring of information through augmented reality, with which it is possible to observe the symbols of the elements of an industrial pilot plant and thus select and issue or receive data from the selected device. In addition, the application allows you to interact to obtain information on each particular element.
Detección de melanomas de piel malignos mediante procesamiento digital de imágenes usando redes neuronales convolucionales
(Universidad Santo Tomás, 2022-06-30) Riaño Borda, Sebastian; Mateus, Armando; Camacho, Edgar Camilo; Guillermo Guarnizo, José; Universidad Santo Tomás; https://orcid.org/ 0000-0003-4938-2233; https://orcid.org/ 0000-0002-8401-4949; https://orcid.org/ 0000-0002-6084-2512; https://orcid.org/ 0000-0002-2399-4859
This project aims to design a neural network for the recognition of melanomas (a type of skin cancer), through the use of a technique known as convolutional neural networks, mostly used in artificial vision (a branch of artificial intelligence), applied in the recognition of patterns on moles on the skin and determine the existence of a malignant melanoma, or not, from a limited dataset. For this, the convolutional network designed and trained to classify melanomas is made up of convolution and pooling layers stacked together to form the proposed network, a "fully connected layer" and a classifier with 1 or 2 outputs, and is parameterized with different values in characteristics such as the dropout, the size of the filters, among others, performing the training in 5 different stages or experiments. The dataset proposed for the training of CNN (Convolutional Neural Networks) is the largest public collection of demoscopic images of skin lesions, provided free of charge by the "International Skin Imaging Collaboration (ISIC)", an effort to improve the diagnosis of melanomas, sponsored by the “International Society for Digital Imaging of the Skin (ISDIS)”. The purpose of this project is to design a convolutional neural network with a high level of precision that helps medical professionals with the diagnosis of melanomas, in this case it was possible to achieve an accuracy of up to 87.82% with the network designed with the best performance.
Desarrollo de un sistema de generación de energía eléctrica, mediante la utilización del fenómeno de piezoelectricidad
(Universidad Santo Tomás, 2019-10-10) Rojas Luna, Milton Ricardo; Forero García, Edwin Francisco; Universidad Santo Tomás
This thesis is based on the design and development of an electric power generation system based on the piezoelectric phenomenon
Development of a platform using hardware in the loop technique to validate the dynamic behavior of a coupled-inductor buck-boost dc/dc converter
(Universidad Santo Tomás, 2021-01-29) Navarrete Gómez, Jhon Erik; Torres Pinzón, Carlos Andrés; Mojica Casallas, Carlos Javier; Ramírez Murillo, Harrynson; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000692670; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000639214; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001614550; https://scholar.google.es/citations?user=gMAr7YEAAAAJ&hl=es; https://scholar.google.com/citations?user=r9kpTz0AAAAJ&hl=es; https://orcid.org/0000-0003-0367-8143; https://orcid.org/0000-0002-3757-9410
Briefly explained, systems modeling is an equivalent exchange of variables such as Speed, precision and effort. When modeling a system, we may have to choose two of these three attributes, leaving one side. A model with a top level of precision and speed will always require an impressive deal of effort. The opposite is rare. This research project will implement a model on a Hardware in the Loop platform that allows improving the design and implementation times of Power Electronics prototypes.
Gestión energética basada en sistemas Multi-Agente para Micro-Redes en modo isla
(Universidad Santo Tomás, 2021-01-19) Sánchez Silvera, Alfredo; Guarnizo Marín, José Guillermo; Forero García, Edwin Francisco; Montenegro Martínez, Davis; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000855847; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000761834; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001343788; https://scholar.google.com/citations?user=3JSJ0C4AAAAJ&hl=es; https://scholar.google.com/citations?user=pv86djIAAAAJ&hl=en; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000000825; https://orcid.org/0000-0002-8401-4949; https://orcid.org/0000-0002-3818-7793; https://orcid.org/0000-0002-8336-7080
Análisis de eficiencia energética en sistemas trifásicos no lineales usando IEEE 1459-2010
(Universidad Santo Tomás, 2020-01-19) Rojas Cala, Rolando Ernesto; Forero García, Edwin Francisco; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000761834; https://scholar.google.com/citations?user=pv86djIAAAAJ&hl=en; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000000825; https://orcid.org/0000-0002-3818-7793
The measurement of energy efficiency according to the IEEE 1459-2010 standard applied to static power converters in three-phase systems is the focus of this research. The first part supports the importance of this type of work, the state of the art and theoretical framework related to the standard, theories of electrical power measurement, three-phase three-pulse inverter bridge type static power converters and speed applied to induction motors, in addition to the work methodology, objectives and justification thereof. Next, the methodology for measuring the efficiency developed in the Matlab Simulink program is presented according to the parameters of IEEE 1459-2010 applied to a three-phase bridge type inverter. In the later section, the method is experimentally demonstrated by applying it to a variable speed drive. Finally, the efficiency measurement is compared in a traditional way with that proposed thanks to the IEEE 1459-2010 standard. The result of the proposed methodology with respect to the traditional one showed that with the application of the IEEE1459-2010 standard, the efficiency value can be more precisely specified, since the standard includes inefficient energy associated with the presence of harmonics in the signals of current and voltage that are generated by static converters in the process.
Diseño de un sistema experimental de monitoreo remoto de salud estructural para puentes fabricados en Guadua
(Universidad Santo Tomás, 2019-05-06) Celedón Flórez, Hugo José; Galvis Restrepo, Eduard; Franco Carbonell, Jorge Enrique; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000166812; https://scholar.google.es/citations?user=NCvZN7AAAAAJ&hl=en
Bamboo is a natural material that is currently repositioning as a suitable and constitutive material in civil engineering for various types of structures and civil constructions. Particularly, the bamboo of the Guadua angustifolia Kunth species possesses physical properties that make it comparable with high-tech fibers, with metals such as steel and stands out most aspects of wood. However, this material estimates disadvantages with respect to its commercial use due, in part, to the lack of experimentation and technical validation around its architectural use. Thanks to nascent problems that arise in the structures of the bridges made with bamboo, added to the current technological advance and the Colombian geopolitical context, this project proposes the design of an experimental system that validates, from an unprecedented perspective, the convergence between the Structural Health Monitoring with the Internet of Things technology. In the designed system, the monitoring of the main variables that affect the stability and structural integrity of bridges is developed using computational algorithms in the context of artificial intelligence. With the results obtained in this work is expected to encourage the extensive use of bamboo as a material for the construction of pedestrian bridges.
Diseño de un controlador para el seguimiento del punto de máxima potencia (MPPT) en paneles solares
(Universidad Santo Tomás, 2019-05-02) Cuéllar Guarnizo, Jairo Alberto; Torres Pinzón, Carlos Andrés; http://scienti.colciencias.gov.co:8081/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000692670; https://scholar.google.es/citations?user=gMAr7YEAAAAJ&hl=es; https://orcid.org/0000-0003-0367-8143
The DC / DC switched converters applied to photovoltaic systems are the focus of this investigation. In the first part of the work, the importance of this type of work is sustained, a state of the art on CC / DC converters and MPPT algorithms is presented, in addition to the work methodology, as well as the objectives and justification of the work. Next, the solar resource is discussed. A consultation and analysis of collected data is presented about the energy potential in Villavicencio and in Bogotá. They also study the mathematical models of solar panels, and the most appropriate way to simulate them using software. At the end, results of simulations in PSIM on solar panels and their behavior are presented. Switched converters are the object of analysis of this work. The simulations of the converter circuit in PSIM are shown, in addition to the mathematical model of the converter in simulink. A mathematical development of the stable state regime and the transitory regime is also presented. The results on simulations in open loop of the converter are also shown. Three algorithms were studied for the DC / DC converter model. It started with the P & O and Incremental Conductance algorithms, and finally the control in sliding modes. The results of simulations are presented, as well as images of the signals that describe the behavior of the circuits. The experimentation is described in the final part of the document. The three MPPT algorithms were implemented on a microcontroller, taking as variables the intensity and output voltage of the panel. Finally, a section of conclusions and discussion of the results obtained in the project is presented, in front of the limitations of the work and comparing with the current devices of the power converters.
Control robusto de un helicóptero de dos grados de libertad pivotado
(Universidad Santo Tomás, 2017-04-18) Bejarano Barreto, Edward Hernando; Tibaduiza Burgos, Diego Alexander; Universidad Santo Tomás

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