2017•Journal of Ambient Intelligence and Humanized ComputingOpen access

Ambient intelligence middleware architecture based on awareness-cognition framework

Svetlana Kim, Yong-Ik Yoon

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Abstract

Ambient Intelligence refers to environments that consisting of smart sensor devices that can sense and respond to the existence of people. Through context awareness, ambient intelligence may deliver accurate detection of a user’s situation, predict future events, and support real-time decision making that requires intelligent analysis of large amounts of context data gathered from various sensing devices. This paper presents a context awareness framework called AC (awareness-cognition) for ambient intelligence that also solves problems pertaining to predictions by discovering personalized knowledge through combining multiple contexts.

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Ambient Intelligence refers to environments that consisting of smart sensor devices that can sense and respond to the existence of people. Through context awareness, ambient intelligence may deliver accurate detection of a user’s situation, predict future events, and support real-time decision making that requires intelligent analysis of large amounts of context data gathered from various sensing devices. This paper presents a context awareness framework called AC (awareness-cognition) for ambient intelligence that also solves problems pertaining to predictions by discovering personalized knowledge through combining multiple contexts.

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Available abstract

Ambient Intelligence refers to environments that consisting of smart sensor devices that can sense and respond to the existence of people. Through context awareness, ambient intelligence may deliver accurate detection of a user’s situation, predict future events, and support real-time decision making that requires intelligent analysis of large amounts of context data gathered from various sensing devices. This paper presents a context awareness framework called AC (awareness-cognition) for ambient intelligence that also solves problems pertaining to predictions by discovering personalized knowledge through combining multiple contexts.

Key concepts: Ambient intelligence, Computer science, Context awareness, Context (archaeology), Middleware (distributed applications), Computational intelligence, Human–computer interaction, Ubiquitous computing

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