An approach to model-based code generation for a specialized soft microprocessor. - In: Autonomous systems 2015, (2015), S. 30-41
This paper reports on an ongoing case study that deals with model based design of soft microprocessor applications for FPGA implementation. It focuses at model based implementation of functions for generating and optimizing binary program code for single-core and multi-core configurations. The modeling process makes use of a commercial graphical modeling environment. An overview of the solution is given, followed by a deeper look at selected details. Finally some experimental results are presented.
Architecture of universal routing element for networks on chip. - In: Autonomous systems 2015, (2015), S. 42-51
Evaluation of multi feature fusion at score-level for appearance-based person re-identification. - In: International Joint Conference on Neural Networks (IJCNN), 2015, ISBN 978-1-4799-1961-1, (2015), insges. 8 S.
Robust appearance-based person re-identification can only be achieved by combining multiple diverse features describing the subject. Since individual features perform different, it is not trivial to combine them. Often this problem is bypassed by concatenating all feature vectors and learning a distance metric for the combined feature vector. However, to perform well, metric learning approaches need many training samples which are not available in most real-world applications. In contrast, in our approach we perform score-level fusion to combine the matching scores of different features. To evaluate which score-level fusion techniques perform best for appearance-based person re-identification, we examine several score normalization and feature weighting approaches employing the the widely used and very challenging VIPeR dataset. Experiments show that in fusing a large ensemble of features, the proposed score-level fusion approach outperforms linear metric learning approaches which fuse at feature-level. Furthermore, a combination of linear metric learning and score-level fusion even outperforms the currently best non-linear kernel-based metric learning approaches, regarding both accuracy and computation time.
http://dx.doi.org/10.1109/IJCNN.2015.7280360
New type of fluxgate magnetometer for the heart's magnetic fields detection. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 22-25
https://doi.org/10.1515/cdbme-2015-0006
An IHE-conform telecooperation platform supporting the treatment of dementia patients. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 310-313
https://doi.org/10.1515/cdbme-2015-0077
Experimental computer tomograph : investigation and implementation of iterative reconstruction techniques and modern computer technology. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 290-293
https://doi.org/10.1515/cdbme-2015-0072
Preliminary investigations of magnetic modulated nanoparticles for microwave breast cancer detection. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 302-305
https://doi.org/10.1515/cdbme-2015-0075
FPGA controlled artificial vascular system. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 446-449
https://doi.org/10.1515/cdbme-2015-0107
Simulation based investigation of source-detector configurations for non-invasive fetal pulse oximetry. - In: Current directions in biomedical engineering, ISSN 2364-5504, Bd. 1 (2015), 1, S. 450-453
https://doi.org/10.1515/cdbme-2015-0108
Komponenten eines Datenbankmanagementsystems. - In: Taschenbuch Datenbanken, (2015), S. 227-268