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Thèse Paul-Valery
Thèse Paul-Valery
Template pour une thèse de l'Université Montpellier 3 Paul-Valery
Johan Briglia
Primordijalna nukleosinteza
Primordijalna nukleosinteza
Seminarski rad
Marko Micic
Actividad Extra Distribución Agave.
Actividad Extra Distribución Agave.
Computo Forense Agave
Mariana
Oscillation Lab
Oscillation Lab
The purpose of this lab was to illustrate the validity of the law of conservation of energy along with the determination of the spring constant of a given spring. For the first part the spring constantk was to be found from a given spring. Through the suspension of various known metal masses on a vertically suspended spring, the spring constant was determined. Two methods were used: the algebraic rearrangement of Hooke's Law and a slope analysis of a linear regression on a Force (N) against Stretch Length (m) scatter plot. The spring constant k was determined to be 26.438 ± 1.063. For the second part of the lab, the aim was to validate the law of conservation of energy through the oscillation of a vertically suspended spring. Data was collected using a Vernier Motion Detector 2 machine and the various energies (kinetic energy, gravitational potential energy and spring potential energy) were collected and summed up. The sum of these energies yielded a fairly constant energy total (2.287 J ± 0.025 J) which supports the authenticity of the law of conservation of energy. While there were some uncertainties due to the lab setup, human error and equipment error it did not affect the validity of the methods during experimentation. Overall, the spring constant k of a given spring was determined and the law of conservation of energy was validated through the calculation of total energy during a suspended mass' oscillation.
Nikhil Patil
phys-chem Calculator
phys-chem Calculator
This document explains in detail about the `phys-chem Calculator' to be developed using android. The `phys-chem Calculator' will be a productivity app.
sibu stephen
FF
FF
These are the words that I manifest.
Anonym
My GEO2010 P2 template
My GEO2010 P2 template
TU Delft MSc Geomatics template for the "P2 document".
Hugo Ledoux
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