Mostrando ítems 1-20 de 42

Administración, control y seguimiento de la pretemporada en el fútbol por medio de un sistema de información - Sinplafut1.0

vera rivera, jose luis; PEREZ GUTIERREZ, BORIS RAINIERO; Vera-Rivera, F. H. (Universidad Ciencia y TecnologíaVenezuela, 2019-10-07)

La pre-temporada es la parte inicial de los procesos de adaptación deportiva que generalmente realizan todos los equipos de alto rendimiento, en Colombia solo en primera división hay 32 equipos de futbol profesional. ...
Un algoritmo recursivo de reconocimiento de patrones

Puerto Cuadros, Eduard Gilberto; Aguilar Castro, Jose Lisandro (Revista Técnica de la Facultad de Ingeniería Universidad del ZuliaColombia, 2017-07-25)

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, ...
Analysis of the characteristics of combustion, emissions, and energy efficiency of blends of heptanol with pure diesel fuel in compression ignition engine(Article)

García, C.P; PABON LEON, JHON ANTUNY; FONSECA VIGOYA, MARLEN DEL SOCORRO (Italia, 2021-09)

The objective of this research is to study the influence of the heptanol content in conventional diesel fuel in different proportions for the evaluation of the combustion parameters, emissions, and energy efficiency. For ...
Analysis of the emotions in a multi-robot system in emergent contexts

Gil, Angel; Puerto Cuadros, Eduard Gilberto; Aguilar, Jose; Dapena, Eladio (Cybernetics and SystemsReino Unido, 2021-01-12)

In this paper, we propose an emotional model for robots in a multi-robot system, in order to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each ...
Analysis of the Tribological and Dynamic Characteristics of the Piston Compression Ring Under Different Engine Operating Conditions

Pardo García, Carlos Eduardo; PABON LEON, JHON ANTUNY; FONSECA VIGOYA, MARLEN DEL SOCORRO (International Review of Mechanical EngineeringItalia, 2021)

In this investigation, a study of the tribological and dynamic characteristics present in the compression ring is executed for different engine conditions. A series of numerical simulations has been carried out using the ...
An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features

Aguilar, Jose; Puerto, E.; Vargas, R.; Reyes, J. (Neural Processing LettersPaíses Bajos, 2019-07-13)

In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are ...
Comparación de técnicas de minería de datos para identificar indicios de deserción estudiantil, a partir del desempeño académico

PEREZ GUTIERREZ, BORIS RAINIERO (Revista UIS IngenieríasColombia, 2020-01-04)

Uno de los grandes retos en las instituciones educativas consiste en poder establecer la posibilidad de retiro o deserción de sus estudiantes. En este artículo se presentan los resultados de un estudio de comparación de ...
A computational model of a natural language processing system for architectural technical debt management

Correal, D; PEREZ GUTIERREZ, BORIS RAINIERO; Castellanos, C (Journal of Physics: Conference SeriesReino Unido, 2020-08-05)

Technical debt is a concept applied to decisions taken to favor rapid production, at the expense of future capacities to evolve or improve the product or service. This concept is transversal to all sciences, especially in ...
Curricula framework for a digital transformation master's in science and engineering

Vera-Contreras, M J; Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; Vera Contreras, Milton Jesús (Journal of Physics: Conference SeriesReino Unido, 2021-06-09)

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social ...
Curricula framework for a digital transformation master’s in science and engineering

Vera Contreras, Milton Jesús; Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto (Journal of Physics: Conference SeriesReino Unido, 2021-06-09)

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social ...
Deep learning architecture for the recursive patterns recognition model

Puerto, E; Aguilar, J; Reyes, J; Sarkar, D (Journal of Physics: Conference SeriesReino Unido, 2018-12-07)

In this work, we propose a deep learning approach for the recursive pattern recognition model, called AR2P (for its acronym in Spanish: "Algoritmo Recursivo de Reconocimiento de Patrones"), by extending its supervised ...
Defining and measuring microservice granularity, a literature overview

Vera-Rivera, Fredy H.; Gaona, Carlos; Astudillo, Hernán (PeerJ Computer ScienceEstados Unidos, 2018-09-08)

Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application’s quality attributes and usage of computational resources. Determining ...
Desarrollo de aplicaciones basadas en microservicios: tendencias y desafíos de investigación

Vera-Rivera, F. H.; Astudillo, Hernan; Gaona, Carlos (RISTI - Revista Ibérica de Sistemas e Tecnologias de InformaçãoPortugal, 2019-10)

Los microservicios son un enfoque arquitectónico y organizativo del desarrollo de software en el que las aplicaciones están compuestas por pequeños servicios independientes que se comunican a través de un API bien definida ...
Design and implementation of a web application to estimate the surface density of implanted ions in solid substrates

Vera-Rivera, F. H.; PEREZ GUTIERREZ, BORIS RAINIERO; V. Niño, Ely Dannier (Journal of Physics: Conference SeriesInglaterra, 2017-01-25)

In the present research a web application is designed and implemented allowing us to calculate the dose of implanted ions on solid substrates from experimental parameters (repetition rate and pulse duration of current, ...
Detección de modos de transporte usando datos GPS

Adarme Jaimes, Marco Antonio; Heredia-Vizcaino, Diana; Puerto Cuadros, Eduard Gilberto (Cuaderno ActivaColombia, 2017-12)

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los ...
Developing a theory based on the causes of technical debt injection into software projects in Colombia

PEREZ GUTIERREZ, BORIS RAINIERO; Castellanos Rodriguez, Cristian Camilo; Correal Torres, Dario Ernesto (Journal of Physics: Conference SeriesReino Unido, 2020-08-05)

Engineering, like sciences such as physics, seeks to ensure that the conclusions reached can be verified through experiments, and that subsequent theories allow predictions to be made in future observations. This procedure ...
Development of a technological platform for teaching and training in competitive programming contests

Vera Contreras, Milton Jesús; Vera-Rivera, F. H.; Delgado Leon, Angie Melissa; Lázaro Carrillo, Gerson Yesid (Journal of Physics: Conference SeriesReino Unido, 2019-11-29)

The competitive programming contests are competitions where the programming capacity and algorithm of the participants are measured. The objective of this work was to develop and implement a framework to formalize the ...
Enseñanza de arquitectura de software en modalidad blended learning: Análisis de la percepción de estudiantes de maestría

Pérez, Boris; Castellanos, Camilo; Correal, Darío (RISTI - Revista Ibérica de Sistemas e Tecnologias de InformaçãoPortugal, 2020-03)

La arquitectura de software, como componente clave de la educación en ingeniería de software, requiere que el estudiante desarrolle un conjunto de habilidades técnicas y sociales. En el curso de maestría Arquitecturas ...
Evaluation of Energy Losses in Auxiliary Systems and Mechanisms Subject to Friction in a Stationary Diesel Engine

Pardo García, Carlos Eduardo; PABON LEON, JHON ANTUNY; FONSECA VIGOYA, MARLEN DEL SOCORRO (International Review of Mechanical EngineeringItalia, 2021)

This research has developed a methodology to estimate energy losses associated with auxiliary systems and mechanisms subject to friction in a stationary diesel engine. The study methodology is based on mathematical models ...
Evaluation of Performance Parameters and Emissions of a Diesel Engine Fueled with Preheated Palm Oil Mill Effluent Biodiesel Blends

Pardo García, Carlos Eduardo; PABON LEON, JHON ANTUNY; FONSECA VIGOYA, MARLEN DEL SOCORRO (International Review of Mechanical EngineeringItalia, 2021)

The current research analyzes the effect of fuel preheating on performance parameters and emission characteristics in a stationary diesel engine fuelled with palm oil mill effluent biodiesel blends. The investigation has ...

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Administración, control y seguimiento de la pretemporada en el fútbol por medio de un sistema de información - Sinplafut1.0
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vera rivera, jose luis | 2019-10-07

La pre-temporada es la parte inicial de los procesos de adaptación deportiva que generalmente realizan todos los equipos de alto rendimiento, en Colombia solo en primera división hay 32 equipos de futbol profesional. La presente investigación tiene como objetivo el de desarrollar un sistema de información para mejorar y agilizar con la planificación de la pre-temporada en el futbol usando tecnologías de la información y la comunicación y técnicas modernas del entrenamiento deportivo. Se utilizó un tipo de investigación tecnológica aplicada dentro de un trabajo interactivo e interdisciplinario, entre expertos en entrenamiento deportivo y expertos en el desarrollo de sistemas de información y tecnologías, lo que permitió innovar en el proceso de la planificación de la pretemporada en el fútbol, para equipos, clubes, preparadores físicos, entrenadores y directores técnicos tanto a nivel aficionado como profesional. Esto permitió agilizar, gestionar y controlar de una mejor manera esta planificación, siendo está novedosa usando las siguientes tecnologías: metodologías de desarrollo ágil, los sistemas de información, la computación en la nube, la programación web, la computación móvil y las analíticas web. Con base en estas teorías se analizó, diseñó e implementó el sistema de información. Con el uso de tecnologías los entrenadores pueden tener información más precisa de sus procesos de entrenamiento, poseen indicadores que les permiten evaluar el rendimiento y estado de sus jugadores para obtener mejores resultados.

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Un algoritmo recursivo de reconocimiento de patrones
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Puerto Cuadros, Eduard Gilberto | 2017-07-25

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, basada en la jerarquía neocortical y en la desagregación/integración del patrón en el proceso de reconocimiento. El algoritmo propuesto es probado para analizar sus capacidades de reconocimiento de patrones.

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Analysis of the characteristics of combustion, emissions, and energy efficiency of blends of heptanol with pure diesel fuel in compression ignition engine(Article)
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García, C.P | 2021-09

The objective of this research is to study the influence of the heptanol content in conventional diesel fuel in different proportions for the evaluation of the combustion parameters, emissions, and energy efficiency. For the above, three heptanol blends identified as HP4%, HP8%, and HP16% have been used with a percentage of heptanol of 4%, 8%, and 16%, respectively. The tests have beencarried out on a single-cylinder stationary diesel engine at a constant load (9 Nm) and a rotational speed of 2800 rpm, 3200 rpm, and 3600 rpm. The results show that the percentage of heptanol causes an increase in the maximum values of the pressure in the combustion chamber and the heat release rate. In general, the presence of heptanol in conventional diesel produces an increase of 3.9% and 4.8% in the maximum values of these parameters. Additionally, the HP4%, HP8%, and HP16% heptanol blends allow reducing CO2, NOx, and smoke opacity emissions by 11.7%, 6.7%, and 37.1%, respectively. Due to the closeness of the physicochemical properties between the blends of heptanol and conventional diesel, a similarity between the energy and exergy performance between both fuels has been obtained. The above demonstrates the potential of heptanol to be used as a renewable fuel without the need for modifications to the engine. In addition, they have the ability to reduce NOx emissions, which is a problem in various types of biodiesel.

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Analysis of the emotions in a multi-robot system in emergent contexts
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Gil, Angel | 2021-01-12

In this paper, we propose an emotional model for robots in a multi-robot system, in order to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each robot based on the level of satisfaction of its basic needs. These four universal emotions lie on a spectrum where depending where the emotion of the robot lies, can affect its behavior and of its neighboring robots. The more negative the emotion is, the more individualistic it becomes in its decisions (anger, sadness or disgust). The more positive the robot is in its emotion, the more it will consider the group and global goals (joy). Each robot is able to recognize another robot′s emotion in the system based on their current state, using the AR2P (AR2P for its acronym in Spanish: Algoritmo Recursivo de Reconocimiento de Patrones) recognition algorithm. In this way, it can use this information of the emotions to decide with whom collaborate. Specifically, the paper addresses emotions’ influence on the behavior of the system, at the individual and collective levels, and the emotions’ effects on the emergent behaviors of the multi-robot system. The paper explores the emerging behavior in two multi-robot scenarios; nectar harvesting and object transportation. The results show that the emotions are important to the emergent behavior in a multi-robot system.

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Analysis of the Tribological and Dynamic Characteristics of the Piston Compression Ring Under Different Engine Operating Conditions
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Pardo García, Carlos Eduardo | 2021

In this investigation, a study of the tribological and dynamic characteristics present in the compression ring is executed for different engine conditions. A series of numerical simulations has been carried out using the OpenFOAM software for the study. The simulation conditions have been based on the parameters measured on a diesel engine test bench. Different ranges of rotation speed, load, and lubrication oil temperature have been established for the analysis. The results show that the parameters of rotation speed and engine load significantly influence the tribological and dynamic conditions of the piston compression ring. An increase of 425 rpm and 136 Nm in the rotational speed and load of the engine causes an increase of 13% and 34% in the power loss due to friction. The Top Dead Center and the Bottom Dead Center are the locations most prone to experience critical wear and tear. Increasing the lubricating oil temperature increases the maximum friction force by 9%. In general, the proposed methodology allows for establishing a direct relationship between the operating conditions and the tribological characteristics in the compression ring that directly affect the efficiency and useful life of the engine.

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An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features
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Aguilar, Jose | 2019-07-13

In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are used to represent the phenomenon to be studied. In this sense, this paper proposes a deep learning architecture for Ar2p, which is based on supervised and unsupervised mechanisms for the discovery and the selection of features for classification problems (called Ar2p-DL). Ar2p is an algorithm of pattern recognition based on the systematic functioning of the human brain. Ar2p-DL is composed of three phases: the first phase, called feature analysis, is supported by two feature-engineering approaches to discover or select atomic features/descriptors. The feature engineering approach used for the discovery, is based on a classical clustering technique, K-means; and the approach used for the selection, is based on a classification technique, Random Forest. The second phase, called aggregation, creates a feature hierarchy (merge of descriptors) from the atomic features/descriptors (it uses as aggregation strategy the DBSCAN algorithm). Finally, the classification phase carries out the classification of the inputs based on the feature hierarchy, using the classical Ar2p algorithm. The last phase of Ar2p-DL uses a supervised learning approach, while the first phases combine supervised and unsupervised learning approaches. To analyze the performance of Ar2p-DL, several tests have been made using different benchmarks (datasets) from the UCI Machine Learning Repository, in order to compare Ar2p-DL with other classification methods.

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Comparación de técnicas de minería de datos para identificar indicios de deserción estudiantil, a partir del desempeño académico
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PEREZ GUTIERREZ, BORIS RAINIERO | 2020-01-04

Uno de los grandes retos en las instituciones educativas consiste en poder establecer la posibilidad de retiro o deserción de sus estudiantes. En este artículo se presentan los resultados de un estudio de comparación de técnicas para apoyar la identificación de deserción estudiantil a partir del registro académico de los estudiantes de una Universidad en Colombia para el programa de Ingeniería de Sistemas. El registro académico se estableció para un periodo de 7 años. Árboles de decisión, regresión logística y Naive Bayes, fueron comparados para lograr establecer la mejor técnica de detección de desertores. Adicionalmente, la herramienta Watson Analytics de IBM fue utilizada para comparar su usabilidad y precisión para un usuario no experto. Nuestra experimentación demostró que el uso de algoritmos simples es suficiente para alcanzar niveles ideales de precisión. Estos resultados son presentados a la comunidad académica para ayudar en la disminución de la deserción estudiantil.

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A computational model of a natural language processing system for architectural technical debt management
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Correal, D | 2020-08-05

Technical debt is a concept applied to decisions taken to favor rapid production, at the expense of future capacities to evolve or improve the product or service. This concept is transversal to all sciences, especially in experimental physics and systems. However, technical debt is difficult to manage because there is a lack of time, expertise, or knowledge on how to perform it. This paper proposes a computational model of technical debt management in software architecture, based on observations made in software teams in their daily work. This computational model exploits natural language processing and model-testing techniques on software project artifacts to build a model that allows localizing and visualizing the impact produced by the technical debt and its payment strategies. This proposal aims to support teams of architects to explain the current and future impact of the debt injected as a result of decisions made.

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Curricula framework for a digital transformation master's in science and engineering
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Vera-Contreras, M J | 2021-06-09

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master's program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master's degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master's in digital transformation for science and engineering; (ii) the recommendation that a master's program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master's in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master's degree document.

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Curricula framework for a digital transformation master’s in science and engineering
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Vera Contreras, Milton Jesús | 2021-06-09

Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master's program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master's degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master’s in digital transformation for science and engineering; (ii) the recommendation that a master's program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master’s in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master's degree document.

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Deep learning architecture for the recursive patterns recognition model
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Puerto, E | 2018-12-07

In this work, we propose a deep learning approach for the recursive pattern recognition model, called AR2P (for its acronym in Spanish: "Algoritmo Recursivo de Reconocimiento de Patrones"), by extending its supervised learning capability towards a semi-supervised learning scheme. The deep learning architecture is composed of three phases: the first one, called discovery phase, discovers the atomic descriptors. The second one, called aggregation phase, creates a feature hierarchy (merge of descriptors) from atomic descriptors. Finally, the classification phase carries out the classification of the inputs based on the feature hierarchy. The last phase uses a supervised learning approach, while the first two follow an unsupervised learning approach. In this paper is tested the performance of the proposed model, using a dataset from the UCI Machine Learning Repository.

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Defining and measuring microservice granularity, a literature overview
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Vera-Rivera, Fredy H. | 2018-09-08

Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application’s quality attributes and usage of computational resources. Determining microservice granularity is an open research topic. Methodology We conducted a systematic literature review to analyze literature that addresses the definition of microservice granularity. We searched in IEEE Xplore, ACM Digital Library and Scopus. The research questions were: Which approaches have been proposed to define microservice granularity and determine the microservices’ size? Which metrics are used to evaluate microservice granularity? Which quality attributes are addressed when researching microservice granularity? Results We found 326 papers and selected 29 after applying inclusion and exclusion criteria. The quality attributes most often addressed are runtime properties (e.g., scalability and performance), not development properties (e.g., maintainability). Most proposed metrics were about the product, both static (coupling, cohesion, complexity, source code) and runtime (performance, and usage of computational resources), and a few were about the development team and process. The most used techniques for defining microservices granularity were machine learning (clustering), semantic similarity, genetic programming, and domain engineering. Most papers were concerned with migration from monoliths to microservices; and a few addressed green-field development, but none address improvement of granularity in existing microservice-based systems. Conclusions Methodologically speaking, microservice granularity research is at a Wild West stage: no standard definition, no clear development—operation trade-offs, and scarce conceptual reuse (e.g., few methods seem applicable or replicable in projects other than their initial proposal). These gaps in granularity research offer clear options to investigate on continuous improvement of the development and operation of microservice-based systems.

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Desarrollo de aplicaciones basadas en microservicios: tendencias y desafíos de investigación
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Vera-Rivera, F. H. | 2019-10

Los microservicios son un enfoque arquitectónico y organizativo del desarrollo de software en el que las aplicaciones están compuestas por pequeños servicios independientes que se comunican a través de un API bien definida y protocolos ligeros. En este trabajo se realizó una revisión de literatura para identificar los desafíos y tendencias de investigación presentes en las fases del proceso de desarrollo y en la gestión de atributos de calidad de este tipo de aplicaciones. Las tendencias se encuentran en la fase de desarrollo y en la fase de diseño; los atributos de calidad más estudiados son la escalabilidad y la calidad del servicio. Los desafíos de la investigación se centran en: definir el nivel de granularidad de los microservicios, modularización y refactorización de servicios, integración con la interfaz de usuario, seguridad, orquestación, monitoreo, gestión y supervisión de microservicios, tolerancia a fallas, recuperación y auto reparación de microservicios.

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Design and implementation of a web application to estimate the surface density of implanted ions in solid substrates
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Vera-Rivera, F. H. | 2017-01-25

In the present research a web application is designed and implemented allowing us to calculate the dose of implanted ions on solid substrates from experimental parameters (repetition rate and pulse duration of current, potential difference, work pressure and treatment time) and current pulses acquired during start-up and shutdown of high voltage electrical discharges at low pressures. By physical and mathematical processing, it is achieved at first estimate the value of the ionic charge, and then the areal density. This study will provide more accurate and suitable developments in relation to applications of ion implantation as an alternative technique to increase the service life of the surfaces of the materials used in various industrial sectors developments.

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Detección de modos de transporte usando datos GPS
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Adarme Jaimes, Marco Antonio | 2017-12

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los datos de localización y sensores de aceleración. Este trabajo de investigación comprende el procesamiento de datos obtenidos vía GPS. Con este procesamiento se pretende detectar el modo de transporte de un usuario en segmentos de recorridos predefinidos. Para la clasificación de éstos, se usan perfiles de velocidad que identifican los modos de transporte en cada uno de los segmentos, mediante un sistema software en lenguaje de programación Java y la utilización de Matlab para el análisis y filtros de datos. El sistema software se desarrolla en dos componentes, el primero comprende el filtro y transformación de datos. Estos datos se representan en coordenadas decimales a coordenadas cartesianas. El segundo presenta la clasificación, para la detección de modos de transportes con las coordenadas cartesianas. También contiene el análisis de estados de movimientos cinemáticos. Las pruebas se realizan a través de un dataset tomado del proyecto GeoLife de Microsoft Asia. Los resultados obtenidos muestran una detección coherente sobre los medios de transporte que usan los diferentes usuarios. Estos usuarios se comparan a partir de perfiles de velocidad predefinidos.

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Developing a theory based on the causes of technical debt injection into software projects in Colombia
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PEREZ GUTIERREZ, BORIS RAINIERO | 2020-08-05

Engineering, like sciences such as physics, seeks to ensure that the conclusions reached can be verified through experiments, and that subsequent theories allow predictions to be made in future observations. This procedure is applied in this article, whose objective is the identification of the causes that favor the injection or presence of technical debt, and its application in software projects in Colombia, to build a theory that allows explaining this behavior. In turn, these causes could be also extrapolated to physical research projects. Results showed that "focus on producing more at the expense of quality" is the most cited cause in general. Conversely, "planning and management" is the most cited category of causes of technical debt. The concept of technical debt is well understood by software practitioners and that most efforts need to be invested by researchers on offering strategies and tools to support technical debt management.

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Development of a technological platform for teaching and training in competitive programming contests
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Vera Contreras, Milton Jesús | 2019-11-29

The competitive programming contests are competitions where the programming capacity and algorithm of the participants are measured. The objective of this work was to develop and implement a framework to formalize the working methodology of the competitive programming study group of the Universidad Francisco de Paula Santander and to develop a web-based training platform to monitor the work carried out within the study group. The intention with this platform is to give the students the tools they need to carry out their training, from the platform the student can study, can practice, can compete, and can improve their skills both in competitive programming, as well as in areas of programming and computer science. This work was carried out following an iterative methodology composed of the following phases: initially, the project has been formalized, analysis of the problem, preliminary details, and formation of the state of the art and theoretical reference. Then, the initial state of the group is diagnosed, a solution is proposed. After refining this solution proposal. Once implemented, information and metrics are gathered and the results are analyzed, already with a functional framework and a web platform, to detect problems and improvements, restarting the phases, for improving in each step those aspects that can be enhanced. The results obtained in the national and international contest have improved considerably and the participation and satisfaction of the students who are part of the study group were increased. The technological platform developed constitutes a confluence point for the study group, and a clear guideline to follow to advance in the process of continuous improvement that allows the university to achieve the best results in national and international programming competitions.

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Enseñanza de arquitectura de software en modalidad blended learning: Análisis de la percepción de estudiantes de maestría
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Pérez, Boris | 2020-03

La arquitectura de software, como componente clave de la educación en ingeniería de software, requiere que el estudiante desarrolle un conjunto de habilidades técnicas y sociales. En el curso de maestría Arquitecturas de Software Ágiles se decidió utilizar la modalidad Blended Learning. Es relevante, por tanto, conocer la percepción de los estudiantes de esta modalidad, de quienes están tomando el curso y de quienes lo vieron hace varios meses o años. Este artículo analiza la percepción de los estudiantes sobre el curso Arquitecturas de Software Ágiles enseñado en la Univ. de los Andes. La percepción de los estudiantes se midió mediante una encuesta anónima a los estudiantes que estuvieron matriculados en el curso para los períodos 2015-2018. Los resultados mostraron que 39,7% de los encuestados consideraron que aprendieron mejor en comparación con cursos presenciales. Adicionalmente, el aspecto más valorado por los encuestados fue el uso de los problemas de la industria.

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Evaluation of Energy Losses in Auxiliary Systems and Mechanisms Subject to Friction in a Stationary Diesel Engine
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Pardo García, Carlos Eduardo | 2021

This research has developed a methodology to estimate energy losses associated with auxiliary systems and mechanisms subject to friction in a stationary diesel engine. The study methodology is based on mathematical models used to calculate engine friction forces and power losses. The analysis involves the cooling, the lubrication, the fuel injection system, and the engine's valve train, bearings, and piston mechanism. A stationary diesel engine with four load conditions and three rotational speed conditions has been taken as a reference for the study. The analysis of the results has showed that fuel injection is the auxiliary system with the highest energy consumption. In general, the cooling system, the lubrication, and the injection represent loss energy equivalent to 0.3%, 0.5%, and 0.9% of the chemical energy of the fuel. The interaction between the cylinder liner and the piston skirt is the main source of energy loss associated with friction processes. For valve train mechanisms, bearings and pistons it has been evidenced that these represent 1.25%, 1.91%, and 5.26% of the chemical energy of the fuel. In general, the methodology proposed in this research is a tool that allows diagnosing energy losses in auxiliary systems and engine mechanisms, which is useful for evaluating future strategies focused on energy improvement.

LEER
Evaluation of Performance Parameters and Emissions of a Diesel Engine Fueled with Preheated Palm Oil Mill Effluent Biodiesel Blends
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Pardo García, Carlos Eduardo | 2021

The current research analyzes the effect of fuel preheating on performance parameters and emission characteristics in a stationary diesel engine fuelled with palm oil mill effluent biodiesel blends. The investigation has been carried out on an experimental test bench under four-engine load conditions. The fuel injection temperature range is set between 35-75 °C. From the results obtained, it has been possible to demonstrate that the preheating process allows the reduction of fuel consumption and an increase in the efficiency of the engine powered with POME 5 and POME 10 blends. The preheating process has the potential to reduce by 14 % BSFC and increase by 17% the BTE of the engine. Additionally, the results have showed a reduction potential of 17.2%, 16.5%, and 15.6% in CO2, HC, and smoke opacity emissions when preheating processes are used in POME biodiesel blends. In general, this type of strategy is a promising solution to incentivize the use of biodiesel blends from palm oil mill effluent.

LEER