Considering the growing impact of ideas nowadays, via quaternary sector, the plagiarism detection has become constant in texts, songs, as well as source codes. This work proposes the creation of the tool \nameOfProgram \ for plagiarism detection in simple texts with GNU GPL license. \nameOfProgram \ was designed to allow your extension for plagiarism detection in source codes. The tool was tested and results are presented in this paper.
This is a Class for creating EU RIA H2020 project proposals. The class contains macros and commands for automating the creation of cross-referenced tables, deliverable lists, allocation of resources tables, and many more features. All tables are automatically updated using the data entered in the WP tables.
Copyright (c) 2010, Giacomo Indiveri
Please read the readme.txt file and send me an email of you find this class useful and if you submit a real proposal with it (for logging and statistics purposes)
This latex class is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
h2020proposal.cls is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Foobar. If not, see .
Contributors: Elisabetta Chicca
Disclaimer: The template is based on the document provided by the EU Participants Portal
at the address: http://ec.europa.eu/research/participants/data/ref/h2020/call_ptef/pt/h2020-call-pt-ria-ia_en.pdf
Use the original source and the http://ec.europa.eu/ documentation for reference. We make no
representations or warranties of any kind, express or implied, about the completeness, accuracy,
reliability, suitability or availability with respect to the original template.
In no event will we be liable for any loss or damage including without limitation, indirect or
consequential loss or damage, or any loss or damage whatsoever arising out of, or in connection
with, the use of this template and/or class.
Makes use of the memoir class. Read the optimum memman documentation for
info on how to customize your proposal.
Este ejemplo hace uso de los paquetes circuitikz y siunitx para dibujar el esquema de un amplificador de 18W a base de transistores bipolares y MOSFET. El circuito fue tomado de http://www.circuitstoday.com/mosfet-amplifier-circuits.
En esta práctica se utilizarán conocimientos de cinemática para encontrar el valor de la aceleración gravitacional, por medio de dos experimentos diferentes, uno que involucra la caída libre y el otro involucra un péndulo, además, se estimará la confianza y validez de los resultados.
This report gives an overview of the various machine learning algorithms implemented to detect certain comments that may appear insulting to another participant on a social networking platform. Feature selection was performed using n-grams, and the WEKA machine learning toolkit was used to build supervised learning clasifiers, that provided an accuracy of 82% on the test dataset. The dataset was obtained from the popular data science competition portal, Kaggle.
The contributions from conduction, convection, and radiation for an end-heated aluminum rod were quantified with experimental considerations in mind. Multiple experiments were carried out to ascertain various physical properties of the system and the aluminum rod. By applying heat-flow theory, simulations, and data-fitting techniques, the specific heat capacity, conductivity, emissivity, convective heat transfer coefficient of the system, and thermal contact resistance between the power source and aluminum rod were determined.