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Automobile Suspension Design
Vibration control is crucially important in ensuring a smooth ride for vehicle passengers. This study sought to design a suspension system for a car such that its mode of vibration would be predominantly bouncing at lower speeds, and primarily pitching at higher speeds. Our study used analytical and numerical methods to choose appropriate springs and dampers for the front and rear suspension. After an initial miscalculation, we succeeded in arriving at appropriate shocks for the vehicle with the desired modes of vibration at the specified frequencies. We then assessed the maximum bouncing and pitching that the vehicle would experience under a specific set of conditions: travel at 40 km/hr over broken, rough terrain. Our testing showed moderate success in our suspension design. We successfully damped the force being transmitted to both the front and rear quarter car somewhat, while ensuring that the modes of vibration fell into the desired shapes at the desired frequency ranges.
Little Ian

O privire generală asupra eficienței algoritmilor de sortare elementari în programare
O privire generala asupra eficientei algoritmilor de sortare elementari in programare
Vlăduț-Gabriel Ghelbere

Algorismia Teoria
Algorismia Teoria
Nil Fons Miret

Counting-Sort Tutorial
A brief description of counting sort algorithm
Faiaz Amin khan

FFT of various syntetic and real signals
FFT of various syntetic and real signals
José Gabriel

How to think like a computer scientist (C++ version)
Permission is granted to copy, distribute, and/or modify this document
under the terms of the Creative Commons Attribution-NonCommercial 3.0
Unported License, which is available at
http://creativecommons.org/licenses/by-nc/3.0
Allen Downey (minor changes by David Topham and Suporn Chenhansa)

Industrial I/O
Created with the Beamer Presentation LaTeX Template Version 1.0 (10/11/12) from
LaTeXTemplates.com
Daniel Baluta

HLIN405 - Humeur de tweets - Rapport
Projet Licence 2 2019
REITER Maxime, DESGENETEZ Charles, GRAVIA-MOULIS Kévin, CANTA Thomas, BANCILLON Adrien

Data acquisition from mobile sensors
Coursework project on data analysis. Using machine learning and android sensors data to predict whether gadget is located indoors or outdoors.
Matvey