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EnglishContext-aware systems are able to sense and adapt to the environment. Mobile applications can benefit from context-awareness since they incur to context changes during their execution. A detailed understanding of the context is needed to know what a context-aware system should sense and adapt to. This paper introduces a statistical approach that helps in determining contextual situations that require adaptation. The approach starts from monitoring mobile context variables values, modeling their states, and deducing from these models a Markov chain model, where each state represents a contextual situation. Depending on transition probabilities and system quality at each state we can decide when it is necessary to apply context-awareness.
| Titolo: | A statistical approach for context-awareness of mobile applications |
| Autori: | |
| Data di pubblicazione: | 2020 |
| Serie: | |
| Handle: | http://hdl.handle.net/11697/151247 |
| ISBN: | 978-3-030-59154-0 978-3-030-59155-7 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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