Read e-book online Ambient Intelligence and Future Trends-International PDF

By Jeong Seok Oh, Jang Sik Park, Jeong Rock Kwon (auth.), Juan Carlos Augusto, Juan M. Corchado, Paulo Novais, Cesar Analide (eds.)

ISBN-10: 3642132677

ISBN-13: 9783642132674

ISBN-10: 3642132685

ISBN-13: 9783642132681

ISAmI is the overseas Symposium on Ambient Intelligence, aiming to assemble researchers from a number of disciplines that represent the medical box of Ambient Intelligence to give and talk about the most recent effects, new rules, tasks and classes got from contemporary studies in construction AmI platforms. This quantity provides the papers which were authorized during this first variation. those papers stories on cutting edge effects and advances completed lately during this area.

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This usage scenario demands for a dynamic application that can adapt at runtime to changes in the environment configuration, as changes in the environment configuration can have an impact on the application's execution flow. Consequently, programming such an application in an ad-hoc way would be cumbersome due to the lack of a dynamic knowledge base reflecting the current state of the environment. The impact of environment changes can be indicated considering the example of a television streaming media residing on a mobile phone.

In order to achieve these objectives, we have developed a software which allows an Intelligent Environment to discover frequent behavioural patterns, and we have named it Sequential Patterns of User Behaviour System (SPUBS). Due to the complexity of SPUBS, this paper will focus on the step of discovering accurate temporal relationships between actions. The reminder of the paper is organized as follows. Section 2 describes briefly the SPUBS. Section 3 summarizes previous related work done in learning highlighting the task of discovering temporal relationships.

Entity Notation is proposed as a lightweight representation for transforming information between resource-constrained devices and knowledge-based intelligent systems. This representation can be handled by resource-constrained devices, transferred over modest communication links, and transformed into knowledge (RDF and ontology) in a straightforward fashion. It’s a practical data representation with expressive power. We utilize EN as the main representation for data and knowledge exchange in this framework.

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Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010) by Jeong Seok Oh, Jang Sik Park, Jeong Rock Kwon (auth.), Juan Carlos Augusto, Juan M. Corchado, Paulo Novais, Cesar Analide (eds.)


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