Interoperable and adaptive fuzzy services for ambient intelligence applications
ABSTRACT In Ambient Intelligence (AmI) vision, people should be able to seamlessly and unobtrusively use and configure the intelligent devices and systems in their ubiquitous computing environments without being cognitively and physically overloaded. In other words, the user should not have to program each device or connect them together to achieve the required functionality. However, although it is possible for a human operator to specify an active space configuration explicitly, the size, sophistication, and dynamic requirements of modern living environment demand that they have autonomous intelligence satisfying the needs of inhabitants without human intervention. This work presents a proposal for AmI fuzzy computing that exploits multiagent systems and fuzzy theory to realize a long-life learning strategy able to generate context-aware-based fuzzy services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. Experimental results show that proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable fuzzy services.
- SourceAvailable from: Jingtao Yao[Show abstract] [Hide abstract]
ABSTRACT: Granular computing, as a new and rapidly growing paradigm of information processing, has attracted many researchers and practitioners. Granular computing is an umbrella term to cover any theories, methodologies, techniques, and tools that make use of information granules in complex problem solving. The aim of this paper is to review foundations and schools of research and to elaborate on current developments in granular computing research. We first review some basic notions of granular computing. Classification and descriptions of various schools of research in granular computing are given. We also present and identify some research directions in granular computing.03/2013; 43(6). DOI:10.1109/TSMCC.2012.2236648
- [Show abstract] [Hide abstract]
ABSTRACT: This work introduces an alternative approach to designing ambient intelligent environments by using a multi-agent system consisting of agents that represent inhabitants (humans, animals, plants, and objects) of the environment and physical devices (sensors and actuators) that control and monitor the environment. Inhabitants are able to compromise their own needs for the betterment of the environment as a whole. This synergy creates a balance where each inhabitant potentially receives sub-optimal environmental conditions but the environment as a whole achieves a optimal level. This work addresses several issues involving multiple parameter optimization and constraint satisfaction while maintaining the well being and physical structure of the inhabitants of an environment as well as the comfort of multiple human inhabitants sharing the same environment and its resources.Journal of Ambient Intelligence and Humanized Computing 09/2011; 2:185-200. DOI:10.1007/s12652-011-0056-0
- [Show abstract] [Hide abstract]
ABSTRACT: A polarization-based receiver for quantum key distribution incorporating an InGaAs/InP single photon avalanche photodiode (SPAD) has been constructed to investigate the potential for increasing the transmission distance in long wavelength quantum key distribution systems beyond the 50km range.Journal of Modern Optics 11/2001; 48(13):1957-1966. DOI:10.1080/09500340108240899 · 1.17 Impact Factor