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Articles tagged Project / Lab Report

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If you conduct a scientific experiment or undertake a piece of research, you’ll usually need to write up a corresponding project or lab report, to summarize the objective of your task, the methods you followed, the results you obtained, and the conclusions you drew from your work. Here we provide a sample of great templates for producing such reports, which include layout guidelines to help guide you through the process.

Propuesta de Proyecto de Minería de Big Data
Propuesta de Proyecto de Minería de Big Data
https://www.overleaf.com/3981477ddsxjk
Jorge Pilozo
What is the maximum altitude reached by a Superpressure balloon?Can we control the balloons altitude with an air pump?
What is the maximum altitude reached by a Superpressure balloon?Can we control the balloons altitude with an air pump?
A detailed report of findings on the altitudes which can be reached by super pressure balloons and how various factors and considerations affect this. Superpressure balloons are deployed and researched by various organisations including NASA, to solve technical limitations such as cell tower coverage as well as advancing fields of research. Balloons are used in planetary exploration, and weather prediction to teaching primary school physics. The versatile yet simple aerostat has been a valuable tool in many areas of engineering and their altitude ceiling is of great scientific interest. To solve the problem without the ability to physically reproduce the scenario, required mathematical models to be created as a means of simulating the effects of real world physics. A degree great enough to output an accurate and hence useful result without becoming too complex to be computable is the fine balance attempted to be created by this paper.
Charles Poppy
Measurement of the dynamic viscosity of Canola Oil using a ball drop
Measurement of the dynamic viscosity of Canola Oil using a ball drop
The viscosity of a particular fluid is an interesting parameter that plays an important role in fluid dynamics of that fluid. We chose the common household cooking item canola oil. Using a ball drop, we set out to measure viscosity at various temperatures and create a model for the viscosity of canola oil as a function of temperature, as well as an accurate measurement for viscosity at room temperature. It was found that the viscosity between 0 and 40 degrees Celsius can be approximated using an exponential function and that an estimation for viscosity at room temperature was not very difficult to obtain. The precision of this measurement was limited by uncertainty in lab equipment used to measure various quantities as well as the image analysis software we used and the limited frame-rate of our camera.
Jamie Clark
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
Computer Based Modeling 1
Computer Based Modeling 1
Fluid Report
Harry Morgan
A Statistical Analysis of the Simpson College Football Offense
A Statistical Analysis of the Simpson College Football Offense
This project explores the predictability of play-calling of the Simpson College football offense during the years of 2012-2014. The models used to assess the predictability include simple analysis as well as linear and logistic regression.
Erik Hall
Prática 04 - Capacidade Térmica
Prática 04 - Capacidade Térmica
Trabalho em grupo
Egmon Pereira

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