scholarly journals Population-Resources Dynamics

2019 ◽  
Author(s):  
Charles Telles
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Phase Space ◽  
Time Series Analysis ◽  
Ecological Interactions ◽  
Ecological Interaction ◽  
Time Frequency ◽  
Series Analysis ◽  
Interaction Variables ◽  
Dynamics Of Population

Dynamics of population and resources symmetries are investigated and a model of ecological interaction that fits with empirical behavior was obtained. It was observed how variables in these dynamics are in recurrence considering parameters such as time, frequency, iteration and interaction. Variables investigated are the consume, time and supply mechanics. Time series analysis of these variables indicated a possible phase space formation of the phenomena. The main conclusion leads to a nonlinear dynamics of the  ecological interactions of the organisms and resources symmetries. (Item cover credit: Amber, Mabel. Aug. 12, 2018)

Population-Resources Dynamics

2019 ◽  
Author(s):  
Charles Telles
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Phase Space ◽  
Time Series Analysis ◽  
Ecological Interactions ◽  
Ecological Interaction ◽  
Time Frequency ◽  
Series Analysis ◽  
Dynamics Of Population

Dynamics of population and resources symmetries are investigated and a model of ecological interaction was obtained. It was observed how variables in these dynamics are in recurrence considering parameters such as time, frequency, iteration, interaction and frequency of iteration. Variables investigated are the consume, idleness and supply mechanics and time series analysis of these variables indicated a possible phase space formation of the phenomena. The main conclusion leads to a nonlinear dynamics of the  ecological interactions of the organisms and resources symmetries.

TIME SERIES ANALYSIS OF ECG: A POSSIBILITY OF THE INITIAL DIAGNOSTICS

2007 ◽  
Vol 17 (10) ◽  
pp. 3709-3713 ◽  
Author(s):  
ALEXANDER LOSKUTOV ◽  
OLGA MIRONYUK
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Time Series Analysis ◽  
Initial Diagnosis ◽  
Rr Intervals ◽  
Advantages And Disadvantages ◽  
Series Analysis

The methods of nonlinear dynamics are applied to reveal the pathologies of patients with different heart failures. Our approach is based on the analysis of the correlation and embedding dimensions of the RR-intervals of ECGs. We demonstrate that these characteristics are quite convenient tools for the initial diagnosis. Advantages and disadvantages of the method are discussed.

scholarly journals A Survey on Change Detection and Time Series Analysis with Applications

2021 ◽  
Vol 11 (13) ◽  
pp. 6141
Author(s):  
Ebrahim Ghaderpour ◽  
Spiros D. Pagiatakis ◽  
Quazi K. Hassan
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Change Detection ◽  
Computer Time ◽  
Decomposition Methods ◽  
Stationary Time Series ◽  
Detection Methods ◽  
Spectral Leakage ◽  
Time Frequency ◽  
Series Analysis

With the advent of the digital computer, time series analysis has gained wide attention and is being applied to many fields of science. This paper reviews many traditional and recent techniques for time series analysis and change detection, including spectral and wavelet analyses with their advantages and weaknesses. First, Fourier and least-squares-based spectral analysis methods and spectral leakage attenuation methods are reviewed. Second, several time-frequency decomposition methods are described in detail. Third, several change or breakpoints detection methods are briefly reviewed. Finally, some of the applications of the methods in various fields, such as geodesy, geophysics, remote sensing, astronomy, hydrology, finance, and medicine, are listed in a table. The main focus of this paper is reviewing the most recent methods for analyzing non-stationary time series that may not be sampled at equally spaced time intervals without the need for any interpolation prior to the analysis. Understanding the methods presented herein is worthwhile to further develop and apply them for unraveling our universe.

scholarly journals Nonlinear dynamics time series analysis of chaotic current oscillations in a semi-insulating GaAs sample

2002 ◽  
Vol 32 (2a) ◽  
pp. 412-414 ◽  
Author(s):  
R.L. da Silva ◽  
R.M. Rubinger ◽  
A.G. de Oliveira ◽  
G.M. Ribeiro
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Time Series Analysis ◽  
Gaas Sample ◽  
Series Analysis ◽  
Current Oscillations

Chaos parameters for EEG analysis

1998 ◽  
Vol 3 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
O. P. Sulimova
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Time Series Analysis ◽  
Physiological Data ◽  
Eeg Analysis ◽  
Series Analysis

The possibility to apply nonlinear dynamics methods for the EEG time series analysis is investigated. Problems related with the estimation of the chaos parameters from the physiological data are discussed.

scholarly journals Preface "Extreme Events: Nonlinear Dynamics and Time Series Analysis"

2011 ◽  
Vol 18 (6) ◽  
pp. 895-897 ◽  
Author(s):  
P. Yiou ◽  
B. D. Malamud ◽  
H. W. Rust
Keyword(s):  
Nonlinear Dynamics ◽  
Time Series ◽  
Time Series Analysis ◽  
Extreme Events ◽  
Series Analysis

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