47 research outputs found

    Characterisation of Youth Entrepreneurship in Medellín-Colombia Using Machine Learning

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    The aim of this paper is to identify profiles of young Colombian entrepreneurs based on data from the “Youth Entrepreneurship” survey developed by the Colombian Youth Secretariat. Our research results show five profiles of entrepreneurs, mainly differentiated by age and entrepreneurial motives, as well as the identification of relevant skills, capacities, and capabilities for entrepreneurship, such as creativity, learning, and leadership. The sample consists of 633 young people aged between 14 and 28 years in Medellín. The data treatment was approached through cluster analysis using the K-means algorithm to obtain information about the underlying nature and structure of the data. These data analysis techniques provide valuable information that can help to better understand the behaviour of Colombian entrepreneurs. They also reveal hidden information in the data. Therefore, one of the advantages of using statistical and artificial intelligence techniques in this type of study is to extract valuable information that might otherwise go unnoticed. The clusters generated show correlations with profiles that can support the design of policies in Colombia to promote an entrepreneurial ecosystem and the creation and development of new businesses through business regulation.AUIP (Iberoamerican University Association for Postgraduate Studies

    Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach

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    This paper presents a new wrapper method able to optimize simultaneously the parameters of the classifier while the size of the subset of features that better describe the input dataset is also being minimized. The search algorithm used for this purpose is based on a co-evolutionary algorithm optimizing several objectives related with different desirable properties for the final solutions, such as its accuracy, its final number of features, and the generalization ability of the classifier. Since these objectives can be sorted according to their priorities, a lexicographic approach has been applied to handle this many-objective problem, which allows the use of a simple evolutionary algorithm to evolve each one of the different sub-populations.Project TIN2015-67020-P (Spanish “Ministerio de Economía y Competitividad”)Project PGC2018-098813-B-C31 (Spanish “Ministerio de Ciencia, Innovación y Universidades”)European Regional Development Funds (ERDF

    5G Mobile Phone Network Introduction in Colombia

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    This research received support from the AUIP (Iberoamerican University Association for Postgraduate Studies).The authors would like to thank the following members of Ericsson and Nokia Company for their valuable technological support in relation to the deployment of 5G networks in Colombia and Latin America. To Ericsson Company: Fabian Monge, Head of Networks & Managed Services Sales LATAM North—Ericsson, Andrés Quintero Arango, Country Manager Colombia— Ericsson, Camilo Beltrán, RAN Sales Domain Manager—Ericsson, Tatiana Dimian, Technical & Solution Sales Colombia—Ericsson. To Nokia Company: Juan Gabriel Mariño Pedroza, Presales Director & Business Development Colombia—Nokia.The deployment of the 5G mobile network is currently booming, offering commercially available services that improve network performance metrics by minimizing network latency in countries such as the USA, China, and Korea. However, many countries around the world are still in the pilot phase promoted and regulated by government agencies. This is the case in Colombia, where the assignment of the first 5G band is planned for the third quarter of 2021. By analyzing the results of the pilot phase and the roadmap of the Colombian Ministry of Information and Communication Technologies (MinTIC), we can determine the main issues, which contribute to the deployment of 5G mobile technology as well as the plans to achieve a 5G stand-alone network from 4G networks. This is applicable to other countries in Latin America and the world. Then, our objective is to synthesize and share the most important concepts of 5G mobile technology such as the MIMO (multiple input/multiple output) antenna, RAN (Radio Access Network), C-RAN (Centralised-RAN), and frequency bands, and evaluate the current stage of its introduction in Colombia.AUIP (Iberoamerican University Association for Postgraduate Studies

    Una iniciativa para la coordinación y difusión de la docencia del perfil de Ingeniería de Computadores del Grado de Informática de la UGR

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    En este trabajo se presentan las II Jornadas de Coordinación Docente y de Empresas organizadas por el Departamento de Arquitectura y Tecnología de Computadores, que en esta edición se han centrado fundamentalmente en las características del perfil de Ingeniería de Computadores del Grado de Informática de la ETSIIT de Granada y en las posibilidades profesionales que ofrece. Se trata de una iniciativa para estimular la coordinación entre los profesores que imparten asignaturas dentro del perfil más afín al departamento, para difundir y acercar los contenidos de dichas asignaturas a los alumnos, y para promover la participación de las empresas del sector en este tipo de eventos. Concretamente, en este trabajo se muestra el por qué y cómo surgieron estar jornadas, cómo se han organizado para lograr los objetivos propuestos, el portal Web creado para su gestión y las principales conclusiones derivadas de la celebración de las mismas.This paper shows the II Conference on Educational Coordination and Enterprises, organized by the Department of Computer Architecture and Computer Technology, which this year have focused on the characteristics of the Computer Engineering profile in Computer Sciences Grade (Granada University) and the analysis of the possible career paths. In this regard, the objectives are encouraging the coordination between the department faculty, dissemination and promotion the course content to students and promote the participation of enterprise in these events. Particularly here we show the foundation and goals of this conference, how they are organized to achieve the objectives, the webpage designed to manage the conference and the main conclusions from the meeting.Departamento de Arquitectura y Tecnología de Computadores. Vicerrectorado para la Garantía de la Calidad

    A distributed and energy‑efficient KNN for EEG classification with dynamic money‑saving policy in heterogeneous clusters

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    Universidad de Granada/CBUASpanish Ministry of Science, Innovation, and Universities under Grants PGC2018-098813-B-C31,PID2022-137461NB-C32ERDF fund. Funding for open access charge: University of Granada/ CBU

    Aprendiendo mecatrónica mediante el diseño y construcción de una plataforma de lanzamiento de prototipos de cohetes de agua

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    Este artículo describe un TFM del Máster en Ciencia de Datos e Ingeniería de Computadores de la Universidad de Granada, consistente en la implementación de una plataforma de lanzamiento de prototipos de cohetes de agua, donde se ha realizado un diseño mecatrónico que permite el control del sistema de forma remota desde el PC. El objetivo que se persigue con este trabajo es mostrar mediante un ejemplo práctico algunos de los conceptos y habilidades adquiridas en dicho Master relacionadas con la mecatrónica. El diseño parte del modelado 3D de cada pieza que interviene en el mecanismo, luego se seleccionan los dispositivos electrónicos que se utilizan para el control de la plataforma, y finalmente se desarrolla el sistema virtual que permite el control desde el PC. El mecanizado de piezas e integración de todos los sistemas se realizó en el laboratorio de robótica y mecatrónica del CITIC-UGR.This paper describes a TFM of the Master in Data Science and Computer Engineering at the University of Granada, which is implementing of a launching pad prototype rocket water, where there has been a mechatronic design that allows control system remotely from the PC. The objective sought to be achieved with this work is to show through a practical example some of the concepts and skills acquired in this Master related to mechatronics. The design of the 3D modeling of each piece involved in the mechanism, then the electronic devices used to control the platform, and finally the virtual system that allows control from the PC develops are selected. Machining parts and integration of all systems was conducted in the laboratory of robotics and mechatronics CITIC-UGR.Universidad de Granada: Departamento de Arquitectura y Tecnología de Computadores; Vicerrectorado para la Garantía de la Calidad

    FuzzyIoT - Platform for Descriptive Analysis of Sensor Data Stream

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    Data generated by sensors are often inaccurate due to calibrations, battery failure or network transmission errors among other issues. Fuzzy protoforms have been demonstrated as a successful tool for modeling data with uncertainty by providing, in addition, linguistic descriptions of the data that offers more relevant and sometimes hidden information. For this purpose, the data are modeled by fuzzy sets whose degree of truth in fuzzy sets is defined by membership functions. In this contribution,a software tool called Fuzzy IoT is presented for the descriptive analysis of sensor data streams through fuzzy protoforms. This software generate linguistic descriptions through the definition of ad hoc protoforms of data exported by different file of sensor data through the previous definition of a set of protoforms. A case study focusing on body temperature is illustrated to show the usefulness of the tool

    Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

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    The production of tomatoes in greenhouses, in addition to its relevance in nutrition and health, is an activity of the agroindustry with high economic importance in Spain, the first exporter in Europe of this vegetable. The technological updating with precision agriculture, implemented in order to ensure adequate production, leads to a deployment planning of wireless sensors with limited coverage by the attenuation of radio waves in the presence of vegetation. The well-known propagation models FSPL (Free-Space Path Loss), two-ray, COST235,Weissberger, ITU-R (International Telecommunications Union—Radiocommunication Sector), FITU-R (Fitted ITU-R), offer values with an error percentage higher than 30% in the 2.4 GHz band in relation to those measured in field tests. As a substantial improvement, we have developed optimized propagation models, with an error estimate of less than 9% in the worst-case scenario for the later benefit of farmers, consumers and the economic chain in the production of tomatoes.This research received fund by the Ibero-American Postgraduate University Association (AUIP)

    A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI

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    Feature selection is an important step in building classifiers for high-dimensional data problems, such as EEG classification for BCI applications. This paper proposes a new wrapper method for feature selection, based on a multi-objective evolutionary algorithm, where the representation of the individuals or potential solutions, along with the breeding operators and objective functions, have been carefully designed to select a small subset of features that has good generalization capability, trying to avoid the over-fitting problems that wrapper methods usually suffer. A novel feature ranking procedure is also proposed in order to analyze the stability of the proposed wrapper method. Four different classification schemes have been applied within the proposed wrapper method in order to evaluate its accuracy and stability for feature selection on a real motor imagery dataset. Experimental results show that the wrapper method presented in this paper is able to obtain very small subsets of features, which are quite stable and also achieve high classification accuracy, regardless of the classifiers used.Project TIN2015-67020-P (Spanish “Ministerio de Economía y Competitividad”)European Regional Development Funds (ERDF

    Sistema de control digital de bajo coste de un motor de corriente continua para usos didácticos

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    Este trabajo describe el desarrollo de un conjunto de experiencias prácticas de diseño e implementación de algunas técnicas de simulación y control digital de un motor de corriente continua llevadas a cabo con elementos físicos de muy bajo coste. El sistema de control desarrollado se está empleando en las prácticas de las asignaturas impartidas por el Área de Ingeniería de Sistemas y Automática y el Departamento de Arquitectura y Tecnología de Computadores de la Universidad de Granada.This work describes the development of a set of practical experiences in the design and implementation of various simulation and digital control techniques of a DC motor carried out with very low cost elements. The control system developed is being used in the practices of the subjects taught by the Systems Engineering and Automation Area and the Department of Architecture and Computer Technology of the University of Granada.Universidad de Granada: Departamento de Arquitectura y Tecnología de Computadores; Vicerrectorado para la Garantía de la Calidad.Universidad de Granada, Secretariado de Innovación Docente. Proyectos de Innovación Docente
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