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de Araújo, Gustavo Medeiros; Kaiser, Jörg; leandro Becker, Buss
An optimized Markov model to predict link quality in mobile wireless sensor networks (Inproceeding)
IEEE Symposium on Computers and Communications (ISCC), pp. 307-312, Cappadocia, 2012.
(BibTeX | Tags: link quality, markov model, Wireless Sensor Networks)
@inproceedings{EOS-2012.000-MJB,
title = {An optimized Markov model to predict link quality in mobile wireless sensor networks},
author = {Gustavo Medeiros de Araújo and Jörg Kaiser and leandro Buss Becker},
year = {2012},
date = {2012-07-01},
booktitle = {IEEE Symposium on Computers and Communications (ISCC)},
pages = {307-312},
address = {Cappadocia},
keywords = {link quality, markov model, Wireless Sensor Networks}
}
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Kiebel, Thomas; Dietrich, André; Schulze, Michael; Zug, Sebastian; Kaiser, Jörg
Identifying patients and visualize their vitality data through Augmented Reality (Inproceeding)
The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS ’10), San Francisco, CA, USA, 2010.
(Abstract | Links | BibTeX | Tags: ArMARoW, Augmented Reality, FAMOUSO, Visualization, Wireless Sensor Networks)
@inproceedings{kiebel2010ar,
title = {Identifying patients and visualize their vitality data through Augmented Reality},
author = {Thomas Kiebel and André Dietrich and Michael Schulze and Sebastian Zug and Jörg Kaiser},
url = {http://eos.cs.ovgu.de/wp-content/uploads/2014/09/Identifying-patients-and-visualize-their-vitality-data-through-Augmented-Reality.pdf},
year = {2010},
date = {2010-08-12},
booktitle = {The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS ’10)},
address = {San Francisco, CA, USA},
abstract = {Hospitals aim at an extensive continuous monitoring of patients. This enables the personal to check the conditions of a patient anywhere at any given time and allows them to immediately react to anomalies and emergencies. The same technology can be used to instantaneously visualize available patient data using augmented reality techniques.},
keywords = {ArMARoW, Augmented Reality, FAMOUSO, Visualization, Wireless Sensor Networks}
}
Hospitals aim at an extensive continuous monitoring of patients. This enables the personal to check the conditions of a patient anywhere at any given time and allows them to immediately react to anomalies and emergencies. The same technology can be used to instantaneously visualize available patient data using augmented reality techniques.
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