Articles tagged Project / Lab Report
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.

ECG Project
We were asked to design our own Electrocardiogram. Obviously, recording heart beats without any noise is a real challenge. Seeing the prices of those kinds of devices, we could already imagine that reaching great performances with our means would be difficult. However, the real goal of this project was to be able to analyze the different problems we encountered and to think about possible improvements we could have provided to overcome them.
Mario José Teles Varandas

MDA HW2: Principial components analysis and Canonical correlation analysis
Principal Components Analysis (PCA) and Canonical Correlation Analysis (CCA) are among the methods used in Multivariate Data Analysis. PCA is concerned with explaining the variance-covariance structure of a set of variables through a few linear combinations of these variables. Its general objectives are data reduction and interpretation. CCA seeks to identify and quantify the associations between two sets of variables i.e Pulp fibres and Paper variables.PCA shows that the first PC already exceeds 90% of the total variability. According to the proportion of variability explained by each canonical variable , the results suggest that the first two canonical correlations seem to be sufficient to explain the structure between
Pulp and Paper characteristics with 98.86%. Despite the fact that the first the two canonical
variables keep 98% of common variability, 78% was kept in the pulp fiber set and about
94% of the paper set as a whole. In the proportion of opposite canonical variable,there were
approximately 64% for the paper set of variables and 78% for the pulp fiber set of variables
kept for the two respectively.
AGYAPONG ANTHONY ADOMAH

Vision based gesture recognition with Kinect sensor
Gesture recognition and its implementation that support Human Computer systems are becoming very popular mode of interaction now a days. It allows to interfacing the man machine commutative information flow naturally. Vision based gesture recognition has the potential that can provide intuitive and effective interaction between man and machine. However there are not adequate tools and techniques that support for developing, detecting or executing these tasks. In this paper we will implement a prototype that facilitates recording data during building some action based activities captured by the Kinect sensor. We analyze those recorded clips and visualize the user interactions by recognition the gestures objects based on depth, IR and skeletal data. Kinect tools include an analysis feature, a time-line-based approach that manually or automatically can mark the recording sequences of clips. We will implement both discrete and continuous gestures by using AdaBoast machine learning approach to detect hands activities. Our result suggest that the learning mechanism can achieve more than 98% of confidence level of given gestures.
Keywords: Gesture recognition, Kinect, HCI, Machine learning, AdaBoost, Computer vision
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Propuesta de Proyecto de Inteligencia Artificial
Propuesta : Amazon
Kiara Lucas

Propuesta de Proyecto de Inteligencia Artificial
juego de ajedrez
Mariana Paucar

Trabalho de Filosofia da Ciência e da Tecnologia
Report on Modern Philosophy
Egmon Pereira e Iago Geovani Lage

SVD-разложение и его практические приложения (SVD-decomposition and its practical applications)
SVD-разложение и его практические приложения с исходным кодом на языке Matlab.
(SVD - decomposition and its practical applications with source code in the language Matlab.
Eugene Kolesnikov

Implementation of Stereographic and Spherical Projection in Structural Geology with JavaScript and the web through SvgNet
Projections are a "prescribed" part of structural analysis and visualizations, with the change in day and age numerous computer applications have been written to aid this. Most of them have taken care in explaining and elaborating the mathematical and programmatic aspects of their implementation. These applications and/or programs all have attained a robust and well accepted status in the field. The previously developed programs have mostly taken a traditional approach in code and design, i.e. the use of programming languages like C/C++, Fortran, Java, Python or packages like Matlab, Mathematica etc. The Open Source Web application discussed here takes up the task of removing system dependencies of the code by the use of JavaScript, the language of the web-browsers, for the entirety of the programming, and improves portability of the output by directly plotting into Scalable Vector Graphics (SVG).
Arijit Laik

Propuesta de Proyecto de Minería de Big Data
https://www.overleaf.com/3981477ddsxjk
Jorge Pilozo