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DADOS DO DRAWBACK SUSPENSÃO E ISENÇÃO
DADOS DO DRAWBACK SUSPENSÃO E ISENÇÃO
Template para o relatório de drawback.
Fernando Oliveira
El Laberinto en la Metodologia de la Diferencia Temporal
El Laberinto en la Metodologia de la Diferencia Temporal
La solucion a un problema dado consiste en encontrar un camino desde un nodo representando el estado inicial, hasta el estado final deseado.
grupos5j
The summation of all prime numbers
The summation of all prime numbers
A proof is given that the summation of all prime numbers can be assigned the value of 13/12, as well as values that can be assigned to the summation of all multiples and all odd multiples.
Fernando Franco Félix
The Noscuk
The Noscuk
Let's take a look into the dynamic history of the Noscuk valley and its people.
Eugenia Anane-Wae
Household daily-peak electricity load forecasting with statistical models
Household daily-peak electricity load forecasting with statistical models
This article proposes to obtain a statistical model of the daily peak electricity load of a household located in Austin-TX,USA. The Box-Jenkins methodology was followed to obtain the best fit for the time-series. Four models provided a good fit: ARIMA(0,1,2), ARIMA(1,1,2), SARIMA(0,1,2)(0,1,1) and SARIMA(1,1,2)(0,1,1). The model with the highest Akaike Information Criteria was the ARIMA(1,2,2). However, the model with the highest forecast accuracy was the SARIMA(1,1,2)(0,1,1), which obtained an RMSE of 0.296 and a MAPE Of 15.00.
Luciano Viola
Report no cover
Report no cover
Report without cover page Created by Zengjie Xia on 30/01/2018. Copyright © 2018 Zengjie Xia. All rights reserved.
Zengjie Xia
Tensão de saída (Canal 2) e onda de tensão PWM (Canal 1), dados para tensão entrada de 23V.
Tensão de saída (Canal 2) e onda de tensão PWM (Canal 1), dados para tensão entrada de 23V.
Este artigo tem como objetivo relatar e detalhar a construção de um conversor buck-boost. Cuja a função deste é converter uma tensão cc (corrente contínua) de entrada, em outra tensão cc em sua saída, de valor mais elevado ou inferior dependendo de sua configuração. Destaca-se aqui o uso de um semi condutor MOSFET que funciona como uma chave controladora. Na elabiração deste está destacada o funcionamento, principais características e toda a parte de simulação e comprovação prática deste conversor.
Elison Moreira & Leandro Pereira
Where are our Providers?: Image Clustering based on Locations of Brazilian Government Suppliers
Where are our Providers?: Image Clustering based on Locations of Brazilian Government Suppliers
The Observatory of Public Spending (or ODP, in Portuguese) is a special unit of Brazil's Ministry of Transparency, Monitoring and Office of the Comptroller-General (or CGU, in Portuguese) responsible for monitoring public spending and gathering managerial and audit information to support the work of CGU internal auditors. One of the most important themes monitored by this unit is Public Procurements and Government Suppliers which have won these procurement processes. Image analysis of many of these suppliers headquarters revealed suspicious landscapes, such as rural areas, isolated places or slums. These landscapes could be an indication of fake suppliers with poor capacity of delivering public goods and services. However, checking thousands of landscapes in order to find these fake suppliers would be a very expensive task. Our objective then is to discover what are the possible groups of scenes involving government suppliers, given that these images were not previously labeled, as automatically as possible. For that reason, we used Places CNN, a pretrained convolutional neural network for scene recognition presented by Zhou et al., which was trained on 205 scene categories with 2.5 million images, for scene recognition on Brazilian Government Suppliers.
Rodrigo Peres Ferreira
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.
José Antonio garcia

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