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Eine Architektur zur Kontextvorhersage
So genannte ``kontextsensitive Systeme’’ haben zum Ziel, die eingesetzten Computersysteme automatisch an die aktuellen …
René Mayrhofer
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A Context Prediction Code and Data Base
Many of the currently available sensors do not provide simple, numerical values but more complex data like a list of other devices in …
René Mayrhofer, Harald Radi, Alois Ferscha
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A Notebook Sensory Data Set for Context Recognition
For a qualitative and quantitative assessment of context prediction and recognition methods, real-world data sets are inevitable. By …
Harald Radi, René Mayrhofer, Alois Ferscha
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An Architecture for Context Prediction
Today’s information appliances are usually very powerful, featuring local storage and processing power, communication technology …
René Mayrhofer
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Digital Aura
Smart space and smart appliances, i.e. wirelessly ad-hoc networked, mobile, autonomous special purpose computing devices, providing …
Alois Ferscha, Manfred Hechinger, René Mayrhofer, Marcos dos~Santos~Rocha, Marquardt Franz, Roy Oberhauser
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A Light-Weight Component Model for Peer-to-Peer Applications
Mobile Peer-to-Peer (P2P) computing applications involve collections of heterogeneous and resource-limited devices (such as PDAs or …
Alois Ferscha, Manfred Hechinger, René Mayrhofer, Roy Oberhauser
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Feature Extraction in Wireless Personal and Local Area Networks
Context awareness is currently being investigated for applications in different areas, including Mobile Computing. Many mobile devices …
René Mayrhofer, Harald Radi, Alois Ferscha
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Recognizing and Predicting Context by Learning from User Behavior
Current mobile devices like mobile phones or personal digital assistants have become more and more powerful; they already offer …
René Mayrhofer, Harald Radi, Alois Ferscha
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Securing Passive Objects in Mobile Ad-Hoc Peer-to-Peer Networks
Security and privacy in mobile ad-hoc peer-to-peer environments are hard to attain, especially when working with passive objects …
René Mayrhofer, Florian Ortner, Alois Ferscha, Manfred Hechinger
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DEVS Simulation of Spiking Neural Networks
This paper presents a new model for simulating Spiking Neural Networks using discrete event simulation which might possibly offer …
René Mayrhofer, Michael Affenzeller, Herbert Prähofer, Gerhard H\f̈er, Alexander Fried
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