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Titlebook: Ambient Intelligence - Software and Applications; 6th International Sy Amr Mohamed,Paulo Novais,Antonio Fernández-Caballe Conference procee

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Was ist das: Wissenschaftlich arbeiten?, based on information provided by unobtrusive sensors in their living environments. The network’s outcome can be used as a basis on which an automated AMI-system decides whether to interact with the person, their caregiver, or any other appropriate party. The networks’ design is established through
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https://doi.org/10.1007/978-3-540-71205-3riving and driver workload during the trip. If it discovers an area where the stress increases and the driving style is worse from the point of view of energy efficiency, a photo is taken and is saved along with its location in a shared database. On the other hand, the solution warns the user when i
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https://doi.org/10.1007/978-3-540-71205-3adaptation of Context Provisioning becomes a key issue. However, methods to easily specify and engineer such mechanisms remain insufficiently explored. In this work we present and evaluate our approach of using semantic-web and multi-agent technologies to define and execute context provisioning poli
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https://doi.org/10.1007/978-3-540-71205-3adjust the number of particles for fast and reliable computation. Since the weight updating is usually much more computationally intensive than the prediction, the first resampling-procedure so-called partial resampling is adopted before the prediction step, which duplicates the large weighted parti
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