@InProceedings{LeonorSantBomfRosa:2016:WeFrAd,
author = "Leonor, Bruno Bustamante Ferreira and Santos, Walter Abrah{\~a}o
dos and Bomfin Junior, Asiel and Rosa, Reinaldo Roberto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "A web framework for advanced and intensive nonlinear time series
analysis",
year = "2016",
organization = "International Conference on Nonlinear Science and Complexity, 6.",
keywords = "Time Series Analysis, Nonlinear Dynamics and Complex Systems,
Chaos and Global Nonlinear Dynamics, Web Framework,
High-Performance Computing.",
abstract = "Using the e-Science paradigm, computers play a key role in
supporting scientific areas such as those using nonlinear time
series analysis to understand seemingly unpredictable behavior.
This work presents a web framework supporting researchers in this
class of analysis in a cloud environment where they can access,
parameterize, initialize and monitor their applications
transparently. Moreover, new applications can be added and managed
by researchers on the portal easily. As a case study, techniques
such as detrended fluctuation analysis (DFA) and gradient pattern
analysis (GPA) will be added and used for intensive time series
analysis in the Brazilian Space Weather Program.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
conference-year = "16-20 May",
urlaccessdate = "07 maio 2024"
}