Edip Demirbilek

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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 multimedia services. We have created 144 unique configurations for audiovisual content including various application and network parameters such as bitrates and distortions in terms of bandwidth, packet loss rate and jitter. To generate the data needed for(More)
We present the INRS audiovisual quality dataset made of 160 unique configurations for audiovisual content including various media compression and network distortion parameters such as video frame rate, quantization and noise reduction parameters, and packet loss rate. The compression and network distortion parameter range values are selected to match(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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