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The paper describes an application system that employs the new German Health Card to provide a technical solution for tracking patient pathways. The aim is to improve the flow and availability of health care information. We used standard software components and technologies in order to facilitate interoperability with multiple system platforms and allow for(More)
The rapid growth of network services is forcing operators to use of inter-layer coordination between the IP and the transport network management systems in order to optimize resource utilization within the carriers network ecosystem. However, the diversity of technology and the related management systems within the IP and transport networks poses(More)
—We have developed reduced reference parametric models for estimating perceived quality in audiovisual multi-media services. We have created 144 unique configurations for audiovisual content including various application and network parameters such as bitrates and distortions in terms of band-width, packet loss rate and jitter. To generate the data needed(More)
We make an intensive use of multimedia frameworks in our research on modeling the perceived quality estimation in streaming services and real-time communications. In our preliminary work, we have used the VLC VOD software to generate reference audiovisual files with various degree of coding and network degradations. We have successfully built machine(More)
We evaluated the power consumption of an industry-grade IMS/RCS application that periodically updates and retrieves the availability status as well as inbox query task to/from the server over Wi-Fi interface. Our aim was to find out the amount of additional energy consumed for each unique tasks. We modelled the battery usage of always-on features and(More)
In order to mechanically predict audiovisual quality in interactive multimedia services, we have developed machine learning--based no-reference parametric models. We have compared Decision Trees--based ensemble methods, Genetic Programming and Deep Learning models that have one and more hidden layers. We have used the Institut national de la recherche(More)
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