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Research Interests: Computer Science, Education, Educational Technology, Data Mining, Educational Research, and 15 moreDatabases, Database Management Systems, Agile Methodologies, Data Science, Agile Methods, Big Data, Automation testing, Agile Methodology with Test Driven Approach, Agile software development, Agile methodology, Big Data Analytics, Behaviour Driven Development, Aplicación de las TICs en educación, Agile and Scrum, and Agile Scrum Methodology Testing
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La presencia de armonicos de corrientes y voltajes acompanados de otras perturbaciones como swell, sags y flicker (entre otros) en sistemas electricos es comun en la mayoria de las instalaciones que estan conformada por cargas no... more
La presencia de armonicos de corrientes y voltajes acompanados de otras perturbaciones como swell, sags y flicker (entre otros) en sistemas electricos es comun en la mayoria de las instalaciones que estan conformada por cargas no lineales, lo que produce diversos problemas de indole tecnico y economicos, fundamentados en las perdidas por calentamientos excesivos por encima de los valores de referencias. Estas razones conducen a la permanente busqueda de soluciones a los efectos nocivos de dichas perturbaciones, destacandose entre otras, el diseno de filtros pasivos y activos o compensadores para diferentes frecuencias. Simultaneamente, con estos aportes, la inteligencia artificial constituye una herramienta de gran importancia por las caracteristicas no lineales que permiten el estudio e identificacion de este tipo de sistemas. A partir de estas consideraciones, este documento presenta los resultados preliminares obtenidos en la primera fase del proyecto de estudio de viabilidad de aplicacion de inteligencia artificial en armonicos de corriente y voltaje en sistemas electricos, dando como resultado inicial un analisis de eficiencia de la aplicacion de logica difusa, redes neuronales y la combinacion con otros procedimientos convencionales, contribuyendo asi a la conformacion de herramientas de monitoreo, supervision y analisis aplicables a las maquinas y sistemas electricos. Palabras clave: filtros armonicos, redes neuronales, algoritmos geneticos, logica difusa. ABSTRACT The presence of harmonic currents and voltages accompanied by other disturbances as swell, sags and flicker (among others) in power systems is common in most of the installation with non-linear loads, resulting in many problems of a technical nature and economic, based on excessive heating losses above the reference values. These reasons lead to the ongoing search for solutions to the harmful effects of such disturbances, standing out among others, the design of passive and active or compensating filters for different frequencies. Simultaneously with these contributions, artificial intelligence is an important tool for the nonlinear characteristics that allow the study and identification of such systems. From these considerations, this paper presents the preliminary results of the first phase of the project feasibility study artificial intelligence application in current and voltage harmonics in electrical systems, giving as initial result an efficiency analysis of the implementation of fuzzy logic, neural networks and the combination with other conventional methods, thus contributing to the creation of monitoring tools, supervision and applicable to machinery and electrical systems analysis. Keywords: harmonic filters, neural networks, genetic algorithms, fuzzy logic.
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There are different methods and designs to get data from environmental variables such as temperature, atmospheric pressure and humidity that influence on rainfalls causing floods. One of those methods are the Wireless Sensor Networks... more
There are different methods and designs to get data from environmental variables such as temperature, atmospheric
pressure and humidity that influence on rainfalls causing floods. One of those methods are the Wireless Sensor Networks (WSN) to monitor the physical variables in real time. Colombia is one of the most affected Latin American countries due the consequences of climate change, particularly in south zone of the Atlantic department. Therefore, here is presented a deployment model of a WSN to measure variables that influence flooding in the south zone of Atlantic department, considering the topography and climate of this site.
pressure and humidity that influence on rainfalls causing floods. One of those methods are the Wireless Sensor Networks (WSN) to monitor the physical variables in real time. Colombia is one of the most affected Latin American countries due the consequences of climate change, particularly in south zone of the Atlantic department. Therefore, here is presented a deployment model of a WSN to measure variables that influence flooding in the south zone of Atlantic department, considering the topography and climate of this site.