Ponencia
Smart Environment Vectorization : An Approach to Learning of User Lighting Preferences
Autor/es | Fernández Montes González, Alejandro
Ortega Ramírez, Juan Antonio González Abril, Luis Álvarez García, Juan Antonio Cruz, Manuel David |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2008 |
Fecha de depósito | 2021-11-19 |
Publicado en |
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ISBN/ISSN | 978-3-540-85562-0 0302-9743 |
Resumen | The automation of smart environment systems is one of the
main goals of smart home researching. This paper focus on learning user
lighting preference, considering a working field like a standard office. A
review of the ... The automation of smart environment systems is one of the main goals of smart home researching. This paper focus on learning user lighting preference, considering a working field like a standard office. A review of the smart environment and devices setup is done, showing a real configuration for test purposes. Suitable learning machine techniques are exposed in order to learn these preferences, and suggest the actions the smart environment should execute to satisfy the user preferences. Learning machine techniques proposed are fed with a database, so a proposal for the vectorization of data is described and analyzed. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TSI2006-13390-C02-02
TIC-2141 |
Cita | Fernández Montes González, A., Ortega Ramírez, J.A., González Abril, L., Álvarez García, J.A. y Cruz, M.D. (2008). Smart Environment Vectorization : An Approach to Learning of User Lighting Preferences. En KES 2008: 12th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (765-772), Zagreb, Croatia: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Smart Environment Vectorization.pdf | 1.031Mb | [PDF] | Ver/ | |