{"id":111184,"date":"2018-03-11T10:37:36","date_gmt":"2018-03-11T10:37:36","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/intelligent-techniques-for-context-aware-system-adaptation\/"},"modified":"2018-03-11T10:37:36","modified_gmt":"2018-03-11T10:37:36","slug":"intelligent-techniques-for-context-aware-system-adaptation","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/intelligent-techniques-for-context-aware-system-adaptation\/","title":{"rendered":"Intelligent techniques for context aware system adaptation"},"content":{"rendered":"

Tesis doctoral de Nayat Sanchez Pi <\/strong><\/h2>\n

Ambient intelligence and smart environments (sme) emphasize on greater user friendliness, more efficient services support, user-empowerment, and support for human interactions. In this vision, people will be surrounded by intelligent and intuitive interfaces embedded in everyday objects around us and an environment recognising and responding to the presence of individuals in an invisible way. this thesis is mainly concerned with the open problem in context-aware systems: the evaluation of these systems in ambient intelligence (ami) environments. with regard to this issue, we argue that due to highly dynamic properties of the ami environments, it should exist a methodology for evaluating these systems taking into account the type of scenarios. However in order to support with a solid ground for that discussion, some elements are to be discussed as well. In particular, we: –\tuse a commercial platform that allows us to design and manage the contextual information of context- aware systems by means of a context manager included in the architecture; –\tanalyze the formal representation of this contextual information by means of a knowledge based system (kbs); –\tdiscuss the possible methodologies to be used for modelling knowledge in kbs and our approach; –\tgive reasons why intelligent agents is a valid technique to be applied to systems in ami environments; –\tpropose a generic multi-agent system (mas) architecture that can be applied to a large class of envisaged ami applications; –\tpropose a multimodal user interface and its integration with our mas; –\tpropose an evaluation methodology for context-aware systems in ami scenarios. the formulation of the above mentioned elements became necessary as this thesis was developed. The lack of an evaluation methodology for context-aware systems in ami environments, where so many issues to be covered, took us to the main objective of this thesis. In this regard we: –\tprovide an updated and exhaustive state-of-the-art of this matter; –\texamine the properties and characteristics of ami scenarios; –\tput forward an evaluation methodology; –\texperimentally test our methodology in ami scenarios.<\/p>\n

 <\/p>\n

Datos acad\u00e9micos de la tesis doctoral \u00abIntelligent techniques for context aware system adaptation<\/strong>\u00ab<\/h3>\n
    \n
  • T\u00edtulo de la tesis:<\/strong>\u00a0 Intelligent techniques for context aware system adaptation <\/li>\n
  • Autor:<\/strong>\u00a0 Nayat Sanchez Pi <\/li>\n
  • Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n
  • Fecha de lectura de la tesis:<\/strong>\u00a0 30\/09\/2011<\/li>\n<\/ul>\n

     <\/p>\n

    Direcci\u00f3n y tribunal<\/h3>\n
      \n
    • Director de la tesis<\/strong>\n
        \n
      • Jos\u00e9 Manuel Molina Lopez<\/li>\n<\/ul>\n<\/li>\n
      • Tribunal<\/strong>\n
          \n
        • Presidente del tribunal: Jos\u00e9 ram\u00f3n Casar corredera <\/li>\n
        • Luis Miguel Parreira correira (vocal)<\/li>\n
        • Jes\u00fas Garcia herrero (vocal)<\/li>\n
        • Juan Antonio Botia blaya (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

           <\/p>\n","protected":false},"excerpt":{"rendered":"

          Tesis doctoral de Nayat Sanchez Pi Ambient intelligence and smart environments (sme) emphasize on greater user friendliness, more efficient services […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[18550,2528,6264],"tags":[43210,120923,15758,52514,142699,221633],"class_list":["post-111184","post","type-post","status-publish","format-standard","hentry","category-carlos-iii-de-madrid","category-inteligencia-artificial","category-investigacion-operativa","tag-jesus-garcia-herrero","tag-jose-manuel-molina-lopez","tag-jose-ramon-casar-corredera","tag-juan-antonio-botia-blaya","tag-luis-miguel-parreira-correira","tag-nayat-sanchez-pi"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/111184","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=111184"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/111184\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=111184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=111184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=111184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}