Articles — University

Este proyecto se ha desarrollado con el objetivo principal de dotar a Shelly, el robot asistencial de RoboLab, de un sistema de reconocimiento y localizacio ́n de objetos en el espacio.

This master thesis aims to investigate and to assess the fatigue life of a component that undergoes cyclic thermal loads. This study will consider different approaches through the use of different material models, providing a final comparison of the assessed fatigue life. The case study is a cylindrical copper mold used for continuous casting of steel; in order to work at high temperature the mold is properly cooled, but nevertheless high stresses arise due to the huge thermal flux and its uneven distribution. The beginning of this work is focused on understanding theories and models available in literature in order to implement data in a finite element software. A comparison of two software (Ansys and Marc Mentat) is carried out, with the purpose of verifying experimental data coming from another work [3]. Subsequently we use Marc Mentat to define a coupled thermal-mechanical analysis, and we perform it using a combined model. A huge computational time is required to get the solution, so other models were exploited in order to save time, and the variation of the obtained solution was evaluated. Several simulations are performed for reaching stabilized conditions, from where strain data will be used to define fatigue life through the number of cycles to failure. The subsequent chapter takes care of this last concept, giving a brief explanation of fatigue and using data coming from previous simulations for assessing fatigue life. A final comparison is provided with the purpose of finding a trade off between the solution’s reliability and the time employed. In the appendix the macro used for the computed simulations are attached.

Se busco la posibilidad de desincronizar una red de mapas acoplados mediante la aplicacion de una perturbacion externa.

The usage of software has grown as computers become popular. There have emerged, both in academia and in the market, technological solutions for several areas, among them education. On the other hand, classroom teaching and learning continues to suffer from classical educational problems such as lack of student and teacher motivation and lack of clear educational goals. And although software supports learning across a range of disciplines and ages, children's audiences, especially in mathematics, have been little contemplated with the benefits that technological solutions can bring. Therefore, the use of pedagogical approaches, such as Bloom's Taxonomy and Formative Assessments, together with gamification techniques, such as Octalysis, can be used to develop a technological solution that contemplates this public. The present work aims to propose the development of a software to assist the teaching and learning of mathematics for children in the classroom.

In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.

In this document we focus on modifying the Linux Kernel through memory and scheduler parameters. The main objective is to study the performance of a computer during the execution of AIO-Stress Benchmark. It was necessary to run the test several times since three of the parameter mentioned in this project were modified 5 times. After completing the test, the results were displayed on graphs, showing that all the variables have a noticeable influence on the performance of the computer.

Trabalho de Física Experimental II - Cefet MG

Trabalho de Introdução à Sociologia - Engenharia da Computação - CEFET/MG

With rapid electrification of transportation , it is becoming increasingly important to have a comprehensive understanding of criteria used in motor selection.For that design and comparative evaluation of interior permanent magnet synchronous motor ,induction motor and switched reluctance motor are needed.A fast finite element analysis (FEA) modeling approach is addressed for induction motor design.Optimal turn off and turn on angles with current chopping control and angular position control are found for Switched Reluctance Motors (SRM).Noise Vibration and Harshness (NVH) analysis are done using workbench ANSYS analysis.Simulation and analytical results show that each motor topology demonstrates its own unique characteristics for Electric Vehicle / Hybrid Electric Vehicle.Each motor's highest efficiency is located at different torque-speed regions for the criteria defined.Stator geometry ,pole/slot combination and control strategy differentiate Noise Vibration and Harshness performance.