Interoperable and adaptive fuzzy services for ambient intelligence applications

ACM Transactions on Autonomous and Adaptive Systems

Volumn 5, Issue 2, 2010, Pages

  Acampora, Giovanni ^a   Gaeta, Matteo ^a   Loia, Vincenzo ^a   Vasilakos, Athanasios V ^b  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF WESTERN MACEDONIA   (Greece)

Author keywords

Ambient intelligence; Fuzzy markup language; Fuzzy systems; Ubiquitous computing

Indexed keywords

ABSTRACTION TECHNIQUES; ACTIVE SPACES; ADAPTIVE FUZZY; AMBIENT INTELLIGENCE; CONTEXT-AWARE; FUZZY COMPUTING; FUZZY MARKUP LANGUAGE; FUZZY THEORY; HUMAN INTERVENTION; HUMAN OPERATOR; INTELLIGENT DEVICES; LIVING ENVIRONMENT; LONG-LIFE LEARNING; REQUIRED FUNCTIONALITIES; UBIQUITOUS COMPUTING ENVIRONMENT;

FUZZY LOGIC; FUZZY SYSTEMS; LINGUISTICS; MARKUP LANGUAGES;

UBIQUITOUS COMPUTING;

EID: 77952928088     PISSN: 15564665     EISSN: 15564703     Source Type: Journal    
DOI: 10.1145/1740600.1740604     Document Type: Article

References (27)

1. AARTS, E. AND ENCARNACAO, J. 2006. The Emergence of Ambient Intelligence. Springer, Berlin.
2. AARTS, E., HARWIG, H., AND SCHUURMANS, M. 2001. Ambient intelligence. In The Invisible Future, J. Denning, Ed. McGraw-Hill.
3. ACAMPORA, G. AND LOIA, V. 2004. Fuzzy control interoperability for adaptive domotic framework. In Proceedings of the IEEE International Conference on Industrial Informatics. 184-189.
4. ACAMPORA, G. AND LOIA, V. 2005a. Enhancing the fml vision for the design of open ambient intelligence environment. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 3, 2578-2583.
5. ACAMPORA, G. AND LOIA, V. 2005b. Using fml and fuzzy technology in ambient intelligent environments. Int. J. Comput. Intell. Res. 1, 171-182.
6. BRAY, T., PAOLI, J., AND SPERBERG-MCQUEEN, C. 1998. W3c recommendation. extensible markup language (xml) 1.0 iii edition. W3C recommendation.
7. CAO, J., XING, N., CHAN, A. T. S., FENG, Y., AND JIN, B. 2005. Service adaptation using fuzzy theory in context-aware mobile computing middleware. In Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications.
8. DOCTOR, F., HAGRAS, H., AND CALLAGHAN, V. 2005. A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments. IEEE Trans. Syst. Man, Cybernet. 35, 116-132.
9. DUMAN, H.,HAGRAS, H., AND CALLAGHAN, V. 2008. Intelligent association exploration and exploitation of fuzzy agents in ambient intelligent environments. J. Uncertain Syst. 2, 2, 133-143.
10. HAYA, P.,MONTORO, G., ESQUIVEL, A., GARCIA-HERRANZ, M., AND ALAMAN, X. 2006. A mechanism for solving conflicts in ambient intelligent environments. J. Univer. Comput. Sci. 12, 284-296.
11. HENRICKSEN, K. AND INDULSKA, J. 2006. Developing context-aware pervasive computing applications: Models and approach. Pervas. Mobile Comput.
12. HONG, T. AND LEE, C. 1996. Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets Syst. 84, 1, 33-47.
13. HUEBSCHER, M. AND MCCANN, J. 2004. Adaptive middleware for context-aware applications in smart-homes. In Proceedings of the 2nd International Workshop on Middleware for Pervasive and Ad-Hoc Computing.
14. LU, S., LEE, K., AND BHARGHAVAN, V. 1996. Adaptive service in mobile computing environment. In Proceedings of the 5th IFIP International Workshop on Quality of Service.
15. MAMDANI, E. 1974. Applications of fuzzy algorithms for simple dynamic plants applications of fuzzy algorithms for simple dynamic plants applications of fuzzy algorithms for simple dynamic plants. IEE 121, 1585-1588.
16. MAMDANI, E. AND ASSILIAN, S. 1975. An experience in linguistic synthesis with a fuzzy logic controller. An experience in linguistic synthesis with a fuzzy logic controller. Int. J. Man-Mach. Studies 7, 1-13.
17. MCCANN, J., KRISTOFFERSON, P., AND ALONSO, E. 2004. Building ambient intelligence into a ubiquitous computing management system. In Proceedings of the International Symposium of Santa Caterina on Challenges in the Internet and Interdisciplinary Research.
18. MOZER, M. 1998. The neural network house: An environment that adapts to its inhabitants. In Proceedings of the American Association for Artificial Intelligence Spring Symposium on Intelligent Environments. 110-114.
19. PAUWELS, E. J., SALAH, A. A., AND TAVENARD, R. 2007. Sensor networks for ambient intelligence. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing.
20. ROMAN, M.,HESS, C.,CERQUEIRA, R.,RANGANATHAN, A.,CAMPBELL, R., AND NAHRSTEDT, K. 2002. Gaia: A middleware infrastructure to enable active spaces. IEEE Pervas. Comput. 74-83.
21. RUTISHAUSER, U., JOLLER, J., AND DOUGLAS, R. 2004. Control and learning of ambience by an intelligent building. IEEE Trans. Syst. Man Cybernet.
22. SCHILIT, B.,ADAMS, N., ANDWANT, R. 1994. Context-Aware computing applications. In Proceedings of the Workshop on Mobile Computing Systems and Applications.
23. TENNAKOON, M., MAYORGA, R., AND SHIRIF, E. 2007. A comfort monitoring system and hazard detection unit using fuzzy logic. ISEIS-Int. Soc. Environm. Inform. Sci. 5, 621-630.
24. VAINIO, A., VALTONEN, M., AND VANHALA, J. 2008. Proactive fuzzy control and adaptation methods for smart homes. IEEE Intell. Syst. 23, 42-49.
25. VASILAKOS, A. AND PEDRYCZ,W., Eds. 2006. Ambient Intelligence, Wireless Networking, Ubiquitous Computing. Artech House Press, MA.
26. YOON, H.,KIM, E., LEE, M., LEE, J., AND GATTON, T. 2008. A model of sharing based multi-agent to support adaptive service in ubiquitous environment. In Proceedings of the International Conference on Information Security and Assurance. 332-337.
27. ZADEH, L. 1965. Fuzzy set. Inform. Control 8, 338-353.