Gallery Items tagged Two-column
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![Pérdidas de energía por fricción](https://writelatex.s3.amazonaws.com/published_ver/7501.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=3a61b49c1e6a820ff3a3ea7b290b67989979a852cf18ddbcc69d25777a3618ca)
Pérdidas de energía por fricción
se presenta el desarrollo de un algoritmo bajo código fuente JavaScript para la solución de la ecuación de flujo crítico (2). Se implementó un lenguaje de programación orientado a objetos para sistemas Android 4.0 o superiores a partir de procesos iterativos e incrementales (Desarrollo ágil). Se utilizó el método numérico de Newton-Raphson para determinar la profundidad crítica de sietes secciones hidráulicas (Rectangular, trapezoidal, trapezoidal asimétrico, triangular, triangular asimétrico, parabólico y circular). Con el propósito de acelerar y garantizar el nivel de convergencia para cada una de las secciones se obtuvo una función potencial para establecer el valor semilla en el proceso iterativo, este valor se asocia de manera directa a las condiciones preestablecidas del problema hidráulico. La aplicación calcula la profundidad crítica, velocidad crítica, área
EDGAR ORLANDO LADINO MORENO
![p-report](https://writelatex.s3.amazonaws.com/published_ver/7493.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=0ff6deed42318f6f04b7db862acfa0ba91e41a5d8ea01a1f69801020a2140a9e)
p-report
Template for short two column paper in Japanese
Yuki Furuta
![GenNet: A Tool for Qualitative and Quantitative Modelling of Gene Regulatory Networks](https://writelatex.s3.amazonaws.com/published_ver/3130.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=04d2c08a52f6c64105ad0b1ac1ec44249337eccb3830f64173ed453c8292e093)
GenNet: A Tool for Qualitative and Quantitative Modelling of Gene Regulatory Networks
Gene regulatory networks have an important role to study the behaviour of genes. By analysing
these Gene Regulatory Networks we can get the detailed information i.e. the occurrence of diseases by
changing behaviour of GRNs. Many different approaches are used (i.e. qualitative modelling and hybrid
modelling) and various tools (i.e. GenoTech, GINsim) have been developed to model and simulate gene
regulatory networks. GenoTech allows the user to specify a GRN on Graphical User Interface (GUI) according
to the asynchronous multivalued logical functions of René Thomas, and to simulate and/or analyse its
qualitative dynamical behaviour. René
Thomas discrete modelling of gene regulatory network (GRN) is a
well known approach to study the dynamics of genes. It deals with some parameters which reflect the possible
targets of trajectories. Those parameters are priory unknown. These unknown parameters are fetched using
another model checking tool SMBioNet. SMBioNet produces all the possible parameters satisfying the given
Computational Logic Tree (CTL) formula as input. This approach involving logical parameters and conditions
also known as qualitative modelling of GRN. However, this approach neglects the time delays for a gene to
pass from one level of expression to another one i.e. inhibition to activation and vice versa. To find out these
time delays, another modelling tool HyTech is used to perform hybrid modelling of GRN.
We have developed a Java based tool called GenNet http://asanian.com/gennet to facilitate the
model checking user by providing a unique GUI layout for both qualitative and quantitative modelling of GRNs.
As we discussed, three separate modelling tools are used for complete modelling and analysis of a GRN. This
process is much lengthy and takes too much time. GenNet assists the modelling users by providing some extra
features i.e. CTL editor, parameters filtering and input/output files management.
GenNet takes a GRN network as input and does all the rest of computations i.e. CTL verification,
K-parameters generation, parameter implication to GRN, state graph, hybrid modelling and parameter
filtration automatically. GenNet serves the user by computing the results within seconds that were taking hours
and days of manual computation
LEEPIANS
![CVPR 2022 Author Kit](https://writelatex.s3.amazonaws.com/published_ver/22302.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8e76b3e2da3139f5cb8e35b97f9e4dcdaefc86cff01ed41be3158d3e8d956d52)
CVPR 2022 Author Kit
CVPR 2022 author kit, including a paper template and a rebuttal template. Downloaded from https://cvpr2022.thecvf.com/author-guidelines (updated 08/23/2021).
CVPR
![Template for article_Penpark](https://writelatex.s3.amazonaws.com/published_ver/17514.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=dbcefa0be1668b090b2cad78e9ce757145ea1a9dbdf40a855cebb463d4ffaba4)
Template for article_Penpark
I would like to share this template for the beginner of writing article
Penpark Sirimark
![Extension of Debarghya Das - by Alex Sullivan](https://writelatex.s3.amazonaws.com/published_ver/2453.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=13cf632c7ec6215643f01fd2b06935e1b81fe53177e55e8d9b05de5d2a72915d)
Extension of Debarghya Das - by Alex Sullivan
Created using the Deedy CV/Resume
XeLaTeX Template
Version 1.0 (5/5/2014)
This template has been downloaded from:
http://www.LaTeXTemplates.com
Original author:
Debarghya Das (http://www.debarghyadas.com)
With extensive modifications by:
Vel (vel@latextemplates.com)
sullivan1513
![Template for IEEE Winter Conf. on Applications of Computer Vision (WACV2018)](https://writelatex.s3.amazonaws.com/published_ver/6436.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=89465a71ce58cba26a2b1aafc5d346835bbdb502cffbf66245e2e32a54f321a3)
Template for IEEE Winter Conf. on Applications of Computer Vision (WACV2018)
Template for preparing submissions to WACV2018. (This version of the template contains a modification in wacv.sty for better compatibility with tikz and pgfplots packages).
WACV2018 (with mods by LianTze Lim)
![Andrew Restrest's CV](https://writelatex.s3.amazonaws.com/published_ver/2309.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e0f0d4315e57991a28111081b9b1a0eafa4c848c88b6aa7e2f1eeeb57a3ec3a3)
Andrew Restrest's CV
Created using the Classicthesis-Styled CV LaTeX Template
Version 1.0 (22/2/13) from LaTeXTemplates.com, originally by Alessandro Plasmati
Andrew Restrest
![Study the OFDM Transmitter System on Matlab](https://writelatex.s3.amazonaws.com/published_ver/1679.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211331Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=adcc8aa2e86bd869390ec5fcbedc2cbefe99c53cfa08c23ce34786129f660f40)
Study the OFDM Transmitter System on Matlab
Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL Internet access, wireless networks, powerline networks, and 4G mobile communications..
sunil p nagare