Ubiquitous Fuzzy Computing in Open Ambient Intelligence Environments

Ambient intelligence (AmI) is considered as the composition of three emergent technologies: ubiquitous computing, ubiquitous communication and intelligent user interfaces. The aim of integration of aforesaid technologies is to make wider the interaction between human beings and information technology equipment through the usage of an invisible network of ubiquitous computing devices composing dynamic computational-ecosystems capable of satisfying the users' requirements. Many works focus the attention on the interaction from users to devices in order to allow an universal and immediate access to available content and services provided by the environment. This paper, vice versa, focuses on the reverse interactions, from devices to users, in order to realize a collection of autonomous control services able to minimize the human effort. In particular, by merging computational intelligence methodologies with standard Web technologies we show how ubiquitous devices will be able to find the suitable set of 'intelligent' services in a transparent way.

[1]  C. S. Regazzoni,et al.  Brain Inspired Cognitive Systems , 2004 .

[2]  Witold Pedrycz,et al.  Ambient Intelligence, Wireless Networking, And Ubiquitous Computing , 2006 .

[3]  Tomomasa Sato,et al.  Network middleware for utilization of sensors in room , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[4]  F. Lavagetto,et al.  A Flexible Architecture for Ambient Intelligence Systems Supporting Adaptive Multimodal Interaction with Users , 2004 .

[5]  Mário J. Simões-Marques,et al.  SINGRAR--A fuzzy distributed expert system to assist command and control activities in naval environment , 2003, Eur. J. Oper. Res..

[6]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Giovanni Acampora,et al.  Fuzzy control interoperability and scalability for adaptive domotic framework , 2005, IEEE Transactions on Industrial Informatics.

[8]  V. Loia,et al.  Fuzzy control interoperability for adaptive domotic framework , 2004, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004.

[9]  François Jammes,et al.  Service-oriented paradigms in industrial automation , 2005, IEEE Transactions on Industrial Informatics.

[10]  Hani Hagras,et al.  A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments , 2005, Inf. Sci..

[11]  Wei-Wei Lin,et al.  Decentralized PDC for large-scale T-S fuzzy systems , 2005, IEEE Transactions on Fuzzy Systems.

[12]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[13]  Giovanni Acampora,et al.  Enhancing the FML vision for the design of open ambient intelligence environment , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.