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Semantic framework for mapping object-oriented model to semantic web languages

JEŽEK, P., MOUČEK, R. Semantic framework for mapping object-oriented model to semantic web languages. Frontiers in Neuroinformatics, 2015, roč. 9, č. 3, s. 1-15. ISSN: 1662-5196
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The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal representations of ontologies, known from knowledge representation, such as description logics or semantic web languages on the other hand. Although knowledge engineering offers languages supporting richer semantic means of expression and technological advanced approaches, conventional data structures and repositories are still popular among developers, administrators and users because of their simplicity, overall intelligibility, and lower demands on technical equipment. The choice of conventional data resources and repositories, however, raises the question of how and where to add semantics that cannot be naturally expressed using them. As one of the possible solutions, this semantics can be added into the structures of the programming language that accesses and processes the underlying data. To support this idea we introduced a software prototype that enables its users to add semantically richer expressions into a Java object-oriented code. This approach does not burden users with additional demands on programming environment since reflective Java annotations were used as an entry for these expressions. Moreover, additional semantics need not to be written by the programmer directly to the code, but it can be collected from non-programmers using a graphic user interface. The mapping that allows the transformation of the semantically enriched Java code into the Semantic Web language OWL was proposed and implemented in a library named the Semantic Framework. This approach was validated by the integration of the Semantic Framework in the EEG/ERP Portal and by the subsequent registration of the EEG/ERP Portal in the Neuroscience Information Framework.

Auditory ERPs in children with developmental coordination disorder

HOLEČKOVÁ, I., ČEPIČKA, L., MAUTNER, P., ŠTĚPÁNEK, D., MOUČEK, R. Auditory ERPs in children with developmental coordination disorder. Activitas Nervosa Superior, 2014, roč. 56, č. 1-2, s. 37-44. ISSN: 1802-9698
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The study deals with investigation and comparison of the auditory attention performance of children with developmental coordination disorder (DCD) and normally developing children (NDC) using cognitive evoked potentials (ERPs) in passive conditions. ERPs data showed that children with DCD have less ability to detect small physical differences between acoustic stimuli (no MMN response in DCD children) and have a reduced attentional engagement and stimulus evaluation of salient stimuli (a reduction of P3 amplitude in DCD children). The results of our study suggest that children with DCD do not only suffer from a visuospatial attention deficit as previous studies reported but also have auditory attention deficit.

Nonparametric estimations of non-negative random variables distributions

VÁVRA, F., NOVÝ, P., MAŠKOVÁ, H., VOJTÍŠKOVÁ, M., ZMRHAL, D. Nonparametric estimations of non-negative random variables distributions. Kybernetika, 2003, roč. 39, č. 3, s. 341-346. ISSN: 0023-5954
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There are many parametric models, however sometimes we need to know also some information about the shape and the type of the distribution. In this note a heuristic approach, based on the assuption that non-negative distributions can be also approximated, is discussed.

Semiparametric model of reliability and economy of power equipment

VOSTRACKÝ, Z., NOVÝ, P., KOTOUČ, T., SEDLÁČEK, J., VÁVRA, F. Semiparametric model of reliability and economy of power equipment. Paris, 2001.
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This paper dealts with semi parametric model of reliability and economy of power equipment. Application is especially for high voltage substations.

Discrete kernels

VÁVRA, F., NOVÝ, P., REISMÜLLEROVÁ, L., VOKÁČOVÁ, K., NEUMANOVÁ, M. Discrete kernels. Austrian Journal of Statistics, 2006, roč. 35, č. 2-3, s. 365-370. ISSN: 1026-597X
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The submitted paper deals with "kernel approximations" of discrete probability distributions. The work is concentrated on the type of the kernel. The asymptotical behaviour is studied as well. Further the context among some of clasical frequency probability estimates in presented.

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