Ponencia
An aprroximation to the features of smart home prediction algorithms
Autor/es | Fernández Montes González, Alejandro
Cruz, M. R. Álvarez García, Juan Antonio Ortega Ramírez, Juan Antonio Torres Valderrama, Jesús Velasco Morente, Francisco González Abril, Luis |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Economía Aplicada I |
Fecha de publicación | 2007-06 |
Fecha de depósito | 2023-05-23 |
Publicado en |
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ISBN/ISSN | 978-84-8458-231-1 |
Resumen | This paper reviews the goals of the Domoweb project and the solutions adopted to achieve them. As a result we enjoy a great support to develop smart home techniques and solutions. As a consequence of the acquired experiences ... This paper reviews the goals of the Domoweb project and the solutions adopted to achieve them. As a result we enjoy a great support to develop smart home techniques and solutions. As a consequence of the acquired experiences a Smart home model is proposed as a division of four main categories. In relation with the smart home model, we show the essential features a smart environment prediction algorithm should satisfy and a procedure to select relevan! information based in a window of state from the model to achieve artificial intelligence based solutions. Finally we propose a technique of situation recognition in a smart home environment. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España |
Identificador del proyecto | TSI2006-13390-C02-02 |
Cita | Fernández Montes, A., Cruz, M.R., Álvarez García, J.A., Ortega Ramírez, J.A., Torres Valderrama, J., Velasco Morente, F. y González Abril, L. (2007). An aprroximation to the features of smart home prediction algorithms. En IX Jornadas de ARCA: Sistemas Cualitativos y Diagnosis (ARCA 2007) (65-70), LLoret de Mar, España: Universidad de Girona: Servei de Publicacions. |
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