Time Series Analysis Using Entropy Metrics
Journal Title: Acta Marisiensis. Seria Technologica - Year 2017, Vol 14, Issue 1
Abstract
Entropy metrics are valuable tools for use in systems science and engineering. Both of domains are assumed to work with signals, to perform testing and evaluation tasks through specific signals. Entropy metrics indicate the degree of order/disorder in any given system, so they are capable to distinguish deterministic features from noise or chaos. The motivation of this paper is to present the main components and actual developments in entropy metrics used to analyze discrete time signals. The entropy metrics and measurements developed in this work try to find regularity in discrete time series in order to inspect them or predict future events.
Authors and Affiliations
Zoltán GERMÁN-SALLÓ, Horațiu-Ștefan GRIF
Qualitative Metrics for Development Technologies Evaluation in Database-driven Information Systems
Database-driven information systems are nowadays widespread in various application domains. The technologies employed to manage the database itself are generally built on the same data model – the relational model – and...
Experiments of Controlers Tuning Based on Integral Criteria
For a system specified by the process, actuator and transducer, the obtaining of a certain operating regime (stationary and transient) is conditioned by the proper choice of a controller’s structure and the tuning parame...
A Study on Issues and Solutions for Sustainable Development
Problems with complex characters Facing Sustainable Development of Various Interests, and International Cooperation Agreements, the listing of economic globalization and harmonization, both with the object and the issue...
Estimation of Production KWS Maize Hybrids Using Nonlinear Regression
This article approaches the model of non-linear regression and the method of smallest squares with examples, including calculations for the model of logarithmic function. This required data obtained from a study which in...
Optimal Charging of Electrical Vehicles in the Smart City for Loss Minimization and Voltage Improvement
The world is two-thirds of the way through a century-long cycle of rapid urbanisation, at the end of which more than 70% of people will live in cities (World Health Organization, 2014). The urban transformation has becom...