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Dive into the research topics where John William Branch Bedoya is active.

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Featured researches published by John William Branch Bedoya.


conference on industrial electronics and applications | 2013

Peniel method for the automation of the ultrasonic monitoring based on the acoustic impedance

Juan José González España; Jovani Alberto Jiménez Builes; John William Branch Bedoya

The industrial processes continuously require of better technologies which let to improve the effectiveness, efficiency and quality of their actions. One method to achieve this is based on the monitoring of the obtained sample or the industrial process itself. In this article is addressed the monitoring and the inspection of industrial products and processes through ultrasonic systems which analyze the behavior of the acoustic impedance. Some of the more important applications are in sectors such as energy, chemicals, aerospace, automobile, food, construction, among others. Although, the wide potential of this technique has been limited by the computational requirements of the algorithms associated with it, requiring of significant computing systems or devices, which is an obstacle for their implementation in small sensor systems. In this work is illustrated a novel signal processing method called Peniel, which has low computing requirements and has a significant circuital simplicity. This method was successfully implemented in a microcontroller of low computational capabilities.


conference on industrial electronics and applications | 2013

Robotic kit TEAC 2 H-RI for applications in education and research

Juan José González España; Jovani Alberto Jiménez Builes; John William Branch Bedoya

Robotics has become a fundamental tool in many areas like education, industry, entertainment, medicine, research, among others. This paper illustrates some of the main approaches that have been taken to implement robotics in education and among them is TEAC2H-RI (Technology, Engineering And Science Education through Human-Robot Interaction). It has been used for teaching subjects such as mathematics and physics in high school. Also, it has been used as an introductory tool for courses in robotics in early years of the master on computer science. Besides being used in education also it has been implemented in research in sensors for industrial applications and since it is based on a modular design is conceived that it can be used in many other research applications. This kit was developed at the National University of Colombia and is the result of an interdisciplinary work of Computer Science, Control, Electronics and Mechanical Engineering.


Dyna | 2009

CONCEPTUALIZACIÓN Y ANÁLISIS DE UN SISTEMA MULTI-AGENTE PEDAGÓGICO UTILIZANDO LA METODOLOGÍA MAS-COMMONKADS

Jovani Alberto Jimã‰Nez Builes; Demetrio Arturo Ovalle Carranza; John William Branch Bedoya


Revista Facultad Nacional de Agronomía | 2005

Clasificación no supervisada de coberturas Vegetales sobre imágenes digitales de sensores Remotos: “landsat – etm+”

Mauricio Arango Gutiérrez; John William Branch Bedoya; Verónica Botero Fernández


revista avances en sistemas e informática | 2010

Construcción de un modelo digital 3D de piezas precolombinas utilizando escaneo láser

Elizabeth Mesa Múnera; Juan F. Salazar; John William Branch Bedoya


Revista Ingenieria E Investigacion | 2008

Comunicación en sistemas de múltiples robots desde la metodología MAD-Smart

Jovani Alberto Jiménez Builes; Demetrio Arturo Ovalle Carranza; John William Branch Bedoya


Revista Facultad Nacional de Agronomía, Medellín | 2005

NONSUPERVISED CLASSIFICATION OF VEGETABLE COVERS ON DIGITAL IMAGES OF REMOTE SENSORS: "LANDSAT - ETM+"

Mauricio Arango Gutiérrez; John William Branch Bedoya; Verónica Botero Fernández


Dyna | 2017

Evaluating supervised learning approaches for spatial-domain multi-focus image fusion

Pedro Atencio Ortiz; Germán Sánchez; John William Branch Bedoya


Revista EIA | 2015

BRAIN IMAGING AS SOURCE OF DATA FOR PROFILING LEARNERS IN VIRTUAL EDUCATION

Julián Gaviria Giraldo; Jovani Alberto Jiménez Builes; John William Branch Bedoya


Revista EIA | 2015

IMAGIMÁTICA CEREBRAL COMO FONTE DE DADOS PARA CARACTERIZAÇÃO DE APRENDIZES NO ENSINO VIRTUAL

Julián Gaviria Giraldo; Jovani Alberto Jiménez Builes; John William Branch Bedoya

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Giovanni Pérez Ortega

National University of Colombia

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Julián Gaviria Giraldo

National University of Colombia

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Andrea Mesa Múnera

National University of Colombia

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Elizabeth Mesa Múnera

National University of Colombia

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Gloria Elena Jaramillo

National University of Colombia

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