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Prática 05 - Calor Específico
Prática 05 - Calor Específico
Trabalho de Física Experimental II - Cefet MG
Egmon Pereira, Igor, Leandro e Letícia
Trabalho Sistemas Distribuidos
Trabalho Sistemas Distribuidos
Trabalho Sistemas Distribuidos
Daniel Nicolay
Modifying Linux Kernel
Modifying Linux Kernel
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.
Adair Ibarra Bautista & Oscar Zapata Buenrostro
Bayes' Theorem in Baseball
Bayes' Theorem in Baseball
A basic understanding on Bayes' theorem and how to apply it to baseball statistics.
Christopher Amici
PyBEL: A Computational Framework for Biological Expression Language
PyBEL: A Computational Framework for Biological Expression Language
The purpose of this work is to outline the first steps taken towards the building of an automatic interpretation and hypothesis generation machine. The contents of this thesis describe the framework built to parse and manipulate the knowl- edge assemblies encoded in BEL, which enables BEL to act as a semantic inte- gration layer for heterogeneous data and knowledge sources, the development of a framework for automatic integration of relevant knowledge from structured sources, and the development of schema-free analytical techniques to generate data-driven hypothesis.
Charles Tapley Hoyt
Tesis: Corrosion en Concreto Armado
Tesis: Corrosion en Concreto Armado
solucion es alos efectos decorrosión en estructuras de concreto armado
Alonso Zingara y Andrea Perez
General Game Player
General Game Player
General Game Playing (GGP) is the playing of a wide variety games you may have never seen before, by being told nothing but the rules of the game at run time. This sets it apart from traditional specific game players, like the famous chess player Deep Blue. Deep Blue can beat the world chess champion at chess however, it has absolutely no idea how to play checkers. It is designed for one particular game and cannot adapt to rule changes, and certainly cannot play entirely different games. The goal of this project is to create a program that will play a wide variety of 2d games given descriptions of their rules without the creator of the program having ever known of the games. This report will cover the design and implementation of this project, as well as the background research performed and reflections on the outcome of the project.
James
Qualificação - Reconhecimento de Cenários baseado nas Localizações dos Fornecedores do Governo Federal
Qualificação - Reconhecimento de Cenários baseado nas Localizações dos Fornecedores do Governo Federal
In most corruption scandals, the use of front companies for money laundering is almost ubiquitous. This work proposes to apply image classification to detect such organizations, through the use of Convolutional Neural Networks (CNN), namely the AlexNet architecture. The images are obtained by address search in Google Street View API, and the resulting classification will be further used along with other features to detect front com- panies in order to help the auditors from the Ministry of Transparency and Office of the Comptroller General (CGU, in Portuguese). To this moment, we applied classification to almost 15 thousand suppliers scenes with active contracts with the Brazilian Government until September 2016, obtained through data matching between the Government Purchases database and the Brazilian Federal Revenue Office database (more recent scenes should be added as this work progresses). Preliminary results with a pre-trained AlexNet CNN show the need for developing new scene classes more suited to the Brazilian context. In order to do this, we propose to apply clustering algorithms in features extracted from the last fully-connected layer of this net. The classes obtained will be used to fine-tune the AlexNet CNN for future classification, through the use of training from scratch or fine tuning techniques.
Rodrigo Peres Ferreira
Relatório de Estágio - Wellington Sales Eugênio Santos
Relatório de Estágio - Wellington Sales Eugênio Santos
Relatório de estágio desenvolvido para a obtenção do título de Bacharel em Ciência da Computação no Instituto de Computação na Universidade Federal de Mato Grosso.
Wellington Sales

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