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Título: Funblocks : a modular framework for AmI system development
Autor(es): BAQUERO PARRA, RAFAEL
MENDOZA CHAPA, SONIA GUADALUPE
DECOUCHANT, DOMINIQUE EMILE HENRI
MATEOS PAPIS, ALFREDO PIERO
Temas: Inteligencia ambiental - Procesamiento electrónico de datos
Multimedia interactiva - Administración
Programación (Computadoras)
Fecha: 2012
Editorial:  Basel, Switzerland : MDPI
Citation: Sensors, vol. 12, núm. 8, 2012
Resumen: The last decade has seen explosive growth in the technologies required to implement Ambient Intelligence (AmI) systems. Technologies such as facial and speech recognition, home networks, household cleaning robots, to name a few, have become commonplace. However, due to the multidisciplinary nature of AmI systems and the distinct requirements of different user groups, integrating these developments into full-scale systems is not an easy task. In this paper we propose FunBlocks, a minimalist modular framework for the development of AmI systems based on the function module abstraction used in the IEC 61499 standard for distributed control systems. FunBlocks provides a framework for the development of AmI systems through the integration of modules loosely joined by means of an event-driven middleware and a module and sensor/actuator catalog. The modular design of the FunBlocks framework allows the development of AmI systems which can be customized to a wide variety of usage scenarios.
URI: http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/335
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