{"id":369,"date":"2016-07-14T15:01:11","date_gmt":"2016-07-14T18:01:11","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=369"},"modified":"2016-07-14T15:01:11","modified_gmt":"2016-07-14T18:01:11","slug":"vol4-no2-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art3\/","title":{"rendered":"Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes<\/p>\n<p><strong>Autores:<\/strong> Vieira, Fl\u00e1vio Henrique Teles; Ling, Lee Luan<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Neste artigo propomos um modelo fuzzy que faz uso de fun\u00e7\u00f5es de base ortonormais calculadas atrav\u00e9s de informa\u00e7\u00f5es provindas da an\u00e1lise multifractal de s\u00e9ries temporais. Para obten\u00e7\u00e3o das fun\u00e7\u00f5es de base ortonormais, utilizamos a fun\u00e7\u00e3o de autocorrela\u00e7\u00e3o de processos multifractais e deduzimos uma express\u00e3o anal\u00edtica para o p\u00f3lo de Laguerre que constitui essas fun\u00e7\u00f5es. Em seguida, nos focamos no desenvolvimento de um algoritmo adaptativo de treinamento para o modelo fuzzy-FBO (Fun\u00e7\u00f5es de Base Ortonormais) que denominamos de ARFA (Agrupamento Regressivo Fuzzy Adaptativo). Avaliamos ent\u00e3o o desempenho de predi\u00e7\u00e3o de tr\u00e1fego de redes do modelo fuzzy-FBO adaptativo com rela\u00e7\u00e3o a outros preditores. Tendo como base a predi\u00e7\u00e3o obtida com o modelo fuzzy-FBO treinado com o algoritmo ARFA, apresentamos um novo esquema de aloca\u00e7\u00e3o de banda para tr\u00e1fego de redes. Atrav\u00e9s de simula\u00e7\u00f5es mostramos que este esquema de aloca\u00e7\u00e3o de banda se favorece do eficiente desempenho de predi\u00e7\u00e3o do modelo fuzzy proposto. Compara\u00e7\u00f5es com outros esquemas de aloca\u00e7\u00e3o de banda em termos de taxa de perda de bytes, utiliza\u00e7\u00e3o do enlace, freq\u00fc\u00eancia de sinaliza\u00e7\u00e3o e ocupa\u00e7\u00e3o do buffer comprovam a efici\u00eancia do esquema proposto.<\/p>\n<p><strong>Palavras-chave:<\/strong> Modelo Fuzzy; Fun\u00e7\u00f5es de Base Ortonormais; Predi\u00e7\u00e3o de Tr\u00e1fego; C\u00e1lculo de Banda; Tr\u00e1fego Multifractal<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 19<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol4-no2-art3\">10.21528\/lmln-vol4-no2-art3<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol4-no2-art3.pdf\" rel=\"\">vol4-no2-art3.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol4-no2-art3.bib\" rel=\"\">vol4-no2-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes Autores: Vieira, Fl\u00e1vio Henrique Teles; Ling, Lee Luan Resumo: Neste artigo propomos um modelo fuzzy que faz uso de fun\u00e7\u00f5es de base ortonormais calculadas <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":359,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-369","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Modelagem Fuzzy Utilizando Fun\u00e7\u00f5es De Base Ortonormais Aplicada \u00c0 Predi\u00e7\u00e3o Adaptativa De Tr\u00e1fego De Redes Autores: Vieira, Fl\u00e1vio Henrique Teles; 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