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In this paper we present our approach to user modeling for a personalized selection of multimedia content tested on a corpus of TV programmes. The idea of this approach is to classify content (TV programmes) based on the calculation of similarities between the description of content and the user model for each description attribute. Calculated similarities(More)
In this paper we are going to present the architecture of peer-to-peer collaborative framework. The peer-to-peer technologies used in this research are based on java implementation of JXTA protocol. The communication services that are implemented on presented peer-to-peer network do not depend on centralized servers and are therefore immune to server(More)
We have developed a telemedicine system for blood transfusion work, to supply the local hospital laboratory with an expert opinion from the central reference laboratory. The telemedicine system allows remote inspection and interpretation of pre-transfusion tests, which are performed by ID-cards (micro-tube gel technology). The system was installed at three(More)
In occidental countries, peripheral arterial disease (PAD) is an important health issue; however, most subjects are asymptomatic (~50%) and therefore undiagnosed and untreated. Current guidelines recommend screening for PAD in primary care setting using ankle brachial index (ABI) in all patients with cardiovascular risks. This is, however, not performed(More)
The paper describes an uneven gel card illumination problem in the gel card image capture device Gelscope 32. The problematic illuminator of the device was analyzed and optimized in such a way, that it illuminated the gel card evenly. Since the illuminator was build using white LEDs, we were able to control the distribution of its luminance by rearranging(More)
In this paper we present a different approach to understanding the natural language and frequency of words from one sentiment class enabling a better sentiment classification compared to the traditional machine learning techniques. We also introduce one more sentiment class the neutral class. In our research we use the Python programming language with the(More)
The paper discusses the challenges of user emotion elicitation in socially intelligent services, based on the experimental design and results of the intelligent typing tutor. Human-machine communication (HMC) of the typing tutor is supported by the continuous real-time emotion elicitation of user’s expressed emotions and the emotional feedback of the(More)
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