Publications

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2006
Mayrhofer, R., Gellersen H., & Hazas M. (2006).  An Authentication Protocol using Ultrasonic Ranging.
Mayrhofer, R. (2006).  A Context Authentication Proxy for IPSec using Spatial Reference. Proc. {TwUC} 2006: 1st International Workshop on Trustworthy Ubiquitous Computing. 449–462.
2005
[Anonymous] (2005).  Advances in Pervasive Computing: Adjunct Proceedings of the 3rd International Conference on Pervasive Computing. (Ferscha, A., Mayrhofer R., Strang T., Linnhoff-Popien B.C.., Dey A., & Butz A.., Ed.).191,
Mayrhofer, R. (2005).  An Architecture for Context Prediction. Schriften der Johannes-Kepler-Universität Linz. C 45,
Ferscha, A., Hechinger M., Mayrhofer R., Chtcherbina E., Franz M., Rocha M. dos Santos, et al. (2005).  Bridging the Gap with P2P Patterns. Proceedings of the Workshop on Smart Object Systems.
Mayrhofer, R. (2005).  Context Prediction based on Context Histories: Expected Benefits, Issues and Current State-of-the-Art. (Prante, T.., Meyers B.., Fitzpatrick G.., & Harvel L.. D., Ed.).Proc. {ECHISE 2005}: 1st International Workshop on Exploiting Context Histories in Smart Environments.
Mayrhofer, R. (2005).  Eine Architektur zur Kontextvorhersage. {A}usgezeichnete {I}nformatikdissertationen 2004. D-5, 125–134.
Mayrhofer, R. (2005).  Technische Hintergründe für das rechtliche Handeln im Internet. {A}ktuelles zum {I}nternet-{R}echt. 1–16.
2004
Mayrhofer, R. (2004).  An Architecture for Context Prediction.
Mayrhofer, R. (2004).  An Architecture for Context Prediction. (Ferscha, A., Hörtner H.., & Kotsis G.., Ed.).Advances in Pervasive Computing. 176, 65–72.
Mayrhofer, R., Radi H., & Ferscha A. (2004).  A Context Prediction Code and Data Base. (Junker, H.., Lukowicz P.., & Mäntyjarvi J.., Ed.).Proceedings of the Benchmarks and a Database for Context Recognition Workshop. 20–26.
Ferscha, A., Hechinger M., Mayrhofer R., Rocha M. dos Santos, Franz M., & Oberhauser R. (2004).  Digital Aura. (Ferscha, A., Hörtner H.., & Kotsis G.., Ed.).Advances in Pervasive Computing. 176, 405–410.
Ferscha, A., Hechinger M., Mayrhofer R., & Oberhauser R. (2004).  A Light-Weight Component Model for Peer-to-Peer Applications. Proceedings {MDC04}: 2nd International Workshop on Mobile Distributed Computing. 520–527.
Radi, H., Mayrhofer R., & Ferscha A. (2004).  A Notebook Sensory Data Set for Context Recognition. (Junker, H.., Lukowicz P.., & Mäntyjarvi J.., Ed.).Proceedings of the Benchmarks and a Database for Context Recognition Workshop. 17–19.
Ferscha, A., Hechinger M., & Mayrhofer R. (2004).  The Peer-to-Peer Coordination Framework –- Architecture Reference.
Ferscha, A., Hechinger M., Mayrhofer R., & Oberhauser R. (2004).  A Peer-to-Peer Light-Weight Component Model for Context-Aware Smart Space Applications. International Journal of Wireless and Mobile Computing ({IJWMC}), special issue on Mobile Distributed Computing.
Mayrhofer, R., Radi H., & Ferscha A. (2004).  Recognizing and Predicting Context by Learning from User Behavior. Radiomatics: Journal of Communication Engineering, special issue on Advances in Mobile Multimedia. 1, 30–42.
2003
Mayrhofer, R., Radi H., & Ferscha A. (2003).  Feature Extraction in Wireless Personal and Local Area Networks. Proc. {MWCN 2003}: 5th International Conference on Mobile and Wireless Communications Networks. 195–198.
Mayrhofer, R., Radi H., & Ferscha A. (2003).  Recognizing and Predicting Context by Learning from User Behavior. (, & Ibrahim K.., Ed.).Proc. {MoMM 2003}: 1st International Conference On Advances in Mobile Multimedia. 171, 25–35.
Mayrhofer, R., Ortner F., Ferscha A., & Hechinger M. (2003).  Securing Passive Objects in Mobile Ad-Hoc Peer-to-Peer Networks. (Focardi, R.., & Zavattaro G.., Ed.).Electronic Notes in Theoretical Computer Science. 85.3,
2002
Mayrhofer, R., Affenzeller M., Prähofer H., Höfer G., & Fried A. (2002).  DEVS Simulation of Spiking Neural Networks. (Trappl, R., Ed.).Cybernetics and Systems: Proc. {EMCSR} 2002: 16th European Meeting on Cybernetics and Systems Research. 2, 573–578.
Affenzeller, M., & Mayrhofer R. (2002).  Generic Heuristics for Combinatorial Optimization Problems. Proceedings of the 9th International Conference on Operational Research ({KOI2002}). 83–92.
Mayrhofer, R. (2002).  A New Approach to a Fast Simulation of Spiking Neural Networks.

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