Selected topics in Pervasive Computing (Winter 2013/2014): Difference between revisions
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Depending on the interest of the students, the emphasis on these additional topics may differ. | Depending on the interest of the students, the emphasis on these additional topics may differ. | ||
Possible course topics (focus according to interest of students): | |||
* Activity recognition | |||
** Fundamentals of pattern matching | |||
** Features and feature extraction | |||
** Feature subset selection | |||
** Polynomial curve fitting | |||
** Parzen estimator | |||
** k-NN | |||
** SVM | |||
** ANN | |||
- | * Context prediction | ||
** Operations for single- and multi-dimensional context data | |||
** Prediction architectures | |||
** Context processing operations | |||
** Prediction algorithms | |||
*** ARMA | |||
*** Kalman filter based | |||
*** Approximate pattern matching | |||
*** Markov predictors | |||
*** Prediction with independent/principal component analysis | |||
*** SOM | |||
*** IPAM | |||
*** ONISI | |||
* Security with noisy data / context-based security | |||
** Entropy | |||
** One-time-pad | |||
** Random number generators | |||
** Statistical tests | |||
** Fuzzy commitment | |||
** Fuzzy extractors | |||
** PUFs | |||
* Networked objects | |||
** A generic sensor node | |||
** Sensor networks | |||
** Communication protocols | |||
** Collaborative and cooperative operations | |||
** Body sensor networks | |||
* Internet of Things | |||
** Communication technologies | |||
** Sensors | |||
** RFID | |||
** Printed electronics | |||
** Organic electronics | |||
** Physical layer mathematical operations | |||
* | |||
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==Schedule== | ==Schedule== |