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Content available remote Biomedical informatics research for Individualized life-long shared healthcare
EN
Aim: We developed a multimedia electronic health record MUDR and introduced it to the field of cardiology and dental medicine. We developed a graphical component called DentCross supported by automatic speech recognition connected to an electronic health record (BRR) in dentistry. Platform for semantic interoperability was designed utilizing international communication standards. Methods: Our approach consisted of three main steps. 1) Development of the multimedia distributed electronic health record MUDR, 2) Development of the interactive graphical DentCross component with automatic speech recognition connected to electronic health record in dentistry. 3) Development of minimal data model for cardiology (MDMC) as the base for studying semantic interoperability issues. Results: Dental health data for more than 100 patients were collected using EHR with the DentCross component, the DentCross component was used in forensic dentistry and for e-Iearning activities. We found that approximately 85% of the MDMC concepts are included in at least one classification system. More than 50% of MDMC are included in the SNOMED Clinical Terms. Conclusions: Structured representation of information in EHR and use of international standards, classifications and nomenclatures is a necessary prerequisite to semantic inte-roperability issues as well as to an automatic speech recognition.
EN
This paper addresses the hot channel factors for the thermalhydraulic analysis of Material Testing Reactors (MTR). The criteria for choosing the hot channel factors and their combination methods are presented and discussed. A method for the evaluation of the hot channel factors for the thermalhydraulic analysis is proposed. In the proposed method, the values of the hot channel factor are calculated in terms of their fraction of variation and the degree of dependency of the thermalhydraulic safety parameter of interest on these factors. The equations for the calculation of the thermalhydraulic safety parameters in the hot channel are presented along with discussions. The application of the proposed method has been illustrated by an example.
3
Content available remote Digital particle image velocimetry: a challenge for feature based tracking
EN
Motion tracking is an important step of the analysis of flow image sequences. However, Digital Particle Image Velocimetry (DPIV) methods rarely use tracking techniques developed in computer vision: FFT and correlation are usually applied. Two major types of motion estimation algorithms exit in computer vision, namely, the optical flow and the feature based ones. Promising results have been recently obtained by optical flow techniques. In this paper, we examine the applicability of feature tracking algorithms to digital PIV. Two feature based and one optical flow based tracking algorithms are compared. Flow measurement and visualisation resultsfor standard DPIV sequences are presented.
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