Articles — Project / Lab Report

We are asked to predict the probability of the event that a student will drop out a course. We firstly extracted many features from the huge dataset. Then we used ensemble learning machine and model stacking technique to get the final result, which ranked the 1st in 68 teams.

The basis of this project was to create an interactive data visualization application using JavaScript and HTML in order to demonstrate the social problems around gender gap in the working environment. Three main visualization graphs are included in this project: a bubble chart, a choropleth map, and a stacked bar chart. The overall approach was to create an easy-to-understand vision of current situation on gender inequality within workplaces for young professionals as well as leaders in organizations. Upon completion of the assignment, the researchers found that gender equality is a long way off at most U.S. companies as of the gap of income and leadership position.

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.

Optimization is a crucial step in the development context of algorithms, where depending on the purpose, different levels of optimization can be applied. Thus, the Network Dijkstra algorithm has been choosen in order to perform the compilation and execution with some levels of optimization from the GCC, measuring its execution time, number of cycles and instructions. In the present work, it is also discussed how the front-end and middle-end analyzes are performed in GCC.

Trabajo realizado en la catedra fenomenos 3

Transferencia de calor en intercambiadores depasos múltiples

Physics being an experimental science, we sought to learn how to prepare a lab and perform as a team accounting for errors and uncertainties and to reduce them. We gathered values for volume using Micrometer, gathered information on acceleration, velocity, and created a histogram using a PASCO motion sensor. A jumping experiment was also performed with a human and the motion sensor. Our main goal was to test the effects of human error and eliminating mechanical error.

After the fixture was sealed within the bell jar, the Margherita 2 underwent bakeout and a test seal on a one-inch tile. Following this small success, a larger project of sealing a larger tile during cesiation launched in the final week of the author's summer in the LAPPD Lab. Central to the ability to control these processes is the ability to monitor temperatures, pressures, and RGA plots as well as adjust heating inputs accurately and timely. This report documents the heating procedures, basic sealing cycle, and plotting past events or in real-time with the Margherita 2 infrastructure.

Computer algorithms that are written with the intent to keep data private are used in every day cryptography. These algorithms may exhibit execution time behaviour which is dependant on secret information that is not known to an outsider. When carefully analysed, this dependency may leak information that can be used to gain unintended access to private data, effectively nullifying the use of such algorithms. This threat poses a vital risk to the field of computer cryptography, and analysis should be done in attempt to eradicate this potential threat from any algorithms in modern day use. In this paper, attacks are orchestrated against several algorithms that have previously been used in cryptography, resulting in the successful retrieval of secret data within a manageable time-scale.