Multidimensional scaling locus of memristor and fractional order elements

Bibliographic Details
Main Author: Machado, J. A. Tenreiro
Publication Date: 2020
Other Authors: Lopes, António M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/19406
Summary: This paper combines the synergies of three mathematical and computational generalizations. The concepts of fractional calculus, memristor and information visualization extend the classical ideas of integro-differential calculus, electrical elements and data representation, respectively. The study embeds these notions in a common framework, with the objective of organizing and describing the "continuum" of fractional order elements (FOE). Each FOE is characterized by its behavior, either in the time or in the frequency domains, and the differences between the FOE are captured by a variety of distinct indices, such as the Arccosine, Canberra, Jaccard and Sørensen distances. The dissimilarity information is processed by the multidimensional scaling (MDS) computational algorithm to unravel possible clusters and to allow a direct pattern visualization. The MDS yields 3-dimensional loci organized according to the FOE characteristics both for linear and nonlinear elements. The new representation generalizes the standard Cartesian 2-dimensional periodic table of elements.
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spelling Multidimensional scaling locus of memristor and fractional order elementsFractional calculusMemristorInformation visualizationMultidimensional scalingProcrustes analysisThis paper combines the synergies of three mathematical and computational generalizations. The concepts of fractional calculus, memristor and information visualization extend the classical ideas of integro-differential calculus, electrical elements and data representation, respectively. The study embeds these notions in a common framework, with the objective of organizing and describing the "continuum" of fractional order elements (FOE). Each FOE is characterized by its behavior, either in the time or in the frequency domains, and the differences between the FOE are captured by a variety of distinct indices, such as the Arccosine, Canberra, Jaccard and Sørensen distances. The dissimilarity information is processed by the multidimensional scaling (MDS) computational algorithm to unravel possible clusters and to allow a direct pattern visualization. The MDS yields 3-dimensional loci organized according to the FOE characteristics both for linear and nonlinear elements. The new representation generalizes the standard Cartesian 2-dimensional periodic table of elements.ElsevierREPOSITÓRIO P.PORTOMachado, J. A. TenreiroLopes, António M.2022-01-12T09:35:20Z2020-092020-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/19406eng10.1016/j.jare.2020.01.004info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T02:54:32Zoai:recipp.ipp.pt:10400.22/19406Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:27:22.789504Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Multidimensional scaling locus of memristor and fractional order elements
title Multidimensional scaling locus of memristor and fractional order elements
spellingShingle Multidimensional scaling locus of memristor and fractional order elements
Machado, J. A. Tenreiro
Fractional calculus
Memristor
Information visualization
Multidimensional scaling
Procrustes analysis
title_short Multidimensional scaling locus of memristor and fractional order elements
title_full Multidimensional scaling locus of memristor and fractional order elements
title_fullStr Multidimensional scaling locus of memristor and fractional order elements
title_full_unstemmed Multidimensional scaling locus of memristor and fractional order elements
title_sort Multidimensional scaling locus of memristor and fractional order elements
author Machado, J. A. Tenreiro
author_facet Machado, J. A. Tenreiro
Lopes, António M.
author_role author
author2 Lopes, António M.
author2_role author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Machado, J. A. Tenreiro
Lopes, António M.
dc.subject.por.fl_str_mv Fractional calculus
Memristor
Information visualization
Multidimensional scaling
Procrustes analysis
topic Fractional calculus
Memristor
Information visualization
Multidimensional scaling
Procrustes analysis
description This paper combines the synergies of three mathematical and computational generalizations. The concepts of fractional calculus, memristor and information visualization extend the classical ideas of integro-differential calculus, electrical elements and data representation, respectively. The study embeds these notions in a common framework, with the objective of organizing and describing the "continuum" of fractional order elements (FOE). Each FOE is characterized by its behavior, either in the time or in the frequency domains, and the differences between the FOE are captured by a variety of distinct indices, such as the Arccosine, Canberra, Jaccard and Sørensen distances. The dissimilarity information is processed by the multidimensional scaling (MDS) computational algorithm to unravel possible clusters and to allow a direct pattern visualization. The MDS yields 3-dimensional loci organized according to the FOE characteristics both for linear and nonlinear elements. The new representation generalizes the standard Cartesian 2-dimensional periodic table of elements.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
2020-09-01T00:00:00Z
2022-01-12T09:35:20Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/19406
url http://hdl.handle.net/10400.22/19406
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.jare.2020.01.004
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dc.publisher.none.fl_str_mv Elsevier
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