Examinando por Materia "Systems"
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Ítem Diseño de un sistema de aprendizaje para un laboratorio remoto usando una metodología de ingeniería : un estudio de caso(Universidad EAFIT, 2010) Zuluaga López, Mónica María; Trujillo Vargas, John AntonioÍtem A domain-specific modeling framework for attack surface modeling(SciTePress, 2020-01-01) Sun, T.N.; Drouot, B.; Golra, F.R.; Champeau, J.; Guerin, S.; Le Roux, L.; Mazo, R.; Teodorov, C.; Van Aertryck, L.; L'Hostis, B.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesCybersecurity is becoming vital as industries are gradually moving from automating physical processes to a higher level automation using cyber physical systems (CPS) and internet of things (IoT). In this context, security is becoming a continuous process that runs in parallel to other processes during the complete life cycle of a system. Traditional threat analysis methods use design models alongside threat models as an input for security analysis, hence missing the life-cycle-based dynamicity required by the security concern. In this paper, we argue for an attacker-aware systems modeling language that exposes the systems attack surfaces. For this purpose, we have designed Pimca, a domain specific modeling language geared towards capturing the attacker point of view of the system. This study introduces the formalism along with the Pimca workbench, a framework designed to ease the development and manipulation of the Pimca models. Finally, we present two relevant use cases, serving as a preliminary validation of our approach. © Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.Ítem An immersive virtual reality training system for mechanical assembly(2011-01-01) Peniche, A.; Diaz, C.; Trefftz, H.; Paramo, G.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesGiven the growing evolution of technology, machinery and manufacturing techniques, conventional methodologies for training the workforce are not enough for the current needs. Therefore methodologies capable to accelerate the training process and able to train the trainee in a wide range of scenarios are claimed for the industrial sector. Virtual reality offers an alternative that has been successfully implemented in other industries, and virtual reality based training systems have numerous advantages over the conventional methodologies, making it a very good option. Based on that premise, this paper explores the implementation of an immersive training system for mechanical assembly based on virtual reality for improving the training process. This system was proved to be as effective as the conventional methodology.Ítem Solving large systems of linear equations on GPUs(Springer Verlag, 2018-01-01) Llano-Ríos T.F.; Ocampo-García J.D.; Yepes-Ríos J.S.; Correa-Zabala F.J.; Trefftz C.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las ComunicacionesGraphical Processing Units (GPUs) have become more accessible peripheral devices with great computing capacity. Moreover, GPUs can be used not only to accelerate the graphics produced by a computer but also for general purpose computing. Many researchers use this technique on their personal workstations to accelerate the execution of their programs and have often encountered that the amount of memory available on GPU cards is typically smaller than the amount of memory available on the host computer. We are interested in exploring approaches to solve problems with this restriction. Our main contribution is to devise ways in which portions of the problem can be moved to the memory of the GPU to be solved using its multiprocessing capabilities. We implemented on a GPU the Jacobi iterative method to solve systems of linear equations and report the details from the results obtained, analyzing its performance and accuracy. Our code solves a system of linear equations large enough to exceed the card’s memory, but not the host memory. Significant speedups were observed, as the execution time taken to solve each system is faster than those obtained with Intel® MKL and Eigen, libraries designed to work on CPUs. © Springer Nature Switzerland AG 2018.