Ponencia
Modeling Smart Homes for Prediction Algorithms
Autor/es | Fernández Montes González, Alejandro
Álvarez García, Juan Antonio Ortega Ramírez, Juan Antonio Cruz, Manuel David González Abril, Luis Velasco Morente, Francisco |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2007 |
Fecha de depósito | 2021-11-18 |
Publicado en |
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ISBN/ISSN | 978-3-540-74826-7 0302-9743 |
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 relevant information from the model to achieve artificial intelligence based solutions. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España |
Identificador del proyecto | TSI2006-13390-C02-02 |
Cita | Fernández Montes González, A., Álvarez García, J.A., Ortega Ramírez, J.A., Cruz, M.D., González, L. y Velasco, F. (2007). Modeling Smart Homes for Prediction Algorithms. En KES 2007: 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (26-33), Vietri sul Mare, Italy: Springer. |
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