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Fluid Report

Trabalho em grupo

In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.

An bachelor experimental physics project at Niels Bohr Insititue (The template for this report can be found here.)

This investigation explores the conditions under which an object, moving through a liquid in high speed, has the greatest deceleration. The conditions focused on are the mass of the object, its initial velocity and its entry angle into the liquid. This is achieved through shooting pellets of varied masses and energies out of two different soft guns at a water container, recording them with a high speed camera and mapping their motion with a tracking program. The results of the experiment indicate that the lesser the mass of the object, the greater its deceleration in the fluid. The initial velocity and the entry angle of the object do not influence the rate of its speed loss. It is further explored that as the density of the fluid becomes greater, so does the deceleration of the object. The investigation is intended to deepen the understanding of the high speed motion through a medium.

Transferencia de calor en intercambiadores depasos múltiples

Engineering notebook, outlining the design process of an autonomous robot competing in the 2016 TYESA/ASEE robot parade competition.

This report describes a brief overview about the incident ocurred on the Soviet Union (URSS) In 1983. On this date their early warning radar indicated that a US missile was headed towards the URSS, but the alert was a system failure. No catastrophe did not happen because the radar operator was able to analyze the situation and realize that it was a system error. The human experience is even more important that the algorithms.

El inductivismo saca conclusiones generales de algo particular. Este ha sido el método científico más común utilizado y sobre éste surgieron nuevos paradigmas para hacer ciencia. Se analizarán las características y limitantes de este método.