Philological information resources (PIRs) created within the framework of digital humanities projects are considered. The typological, thematic, structural, and functional methods of the classification of PIRs are given. Semantic publications and complex PIRs are considered separately. The terminology of the types of PIR representing various sets of works or resources is discussed. Measures are proposed to organize the maintenance of the catalogs of PIRs.
The paper considers the evaluation of the management performance of information processes for construction documentation development with the help of simulation modeling. Structural and functional models were transformed into Petri nets, which allowed to compare two ways of organizing documentation preparation, relying on the objective indicators of 100 experiments. The data thus obtained allow us to draw unambiguous conclusions regarding the performance of the considered organizational solutions and the stability of the obtained results.
The paper deals with the problems of the formalization of research heuristics used to solve problems of cognitive sociology. The proposed approach is based on the principles of exact epistemology and their constructive implementation through the JSM method of automated research support. Intelligent JSM systems are considered to be partner human-machine systems that provide both the formalization of the cognitive activity of a sociologist researcher and the possibility of studying the cognitive effects of social interactions.
The operations of structural similarity on the objects with a factual basis presented as ordinary graphs are considered. Conditions are given under which such objects are similar, and a characterization of the set of graphs with isomorphic results of the similarity operation is presented. The proofs use the apparatus of the Galois correspondence associated with the graph.
Text-to-speech synthesis technology is one of the most important elements in the field of working with human speech. This paper makes an introductory analysis of speaker’s speech sets recorded with different emotional coloration. That enables the identification of patterns in the frequency dynamics of harmonics and the development of a method for the analytical description of the emotional coloration of speech. We propose a model that describes changes in frequency in the vowels and phonemes pronounced with an emotional connotation. The model is based on the use of sigmoid functions and the results of a technique that allows the synthesis of the signal of emotionally colored phonemes.
A new approach to profiling users of social internet services and the concept of recommender systems based on this approach are presented. The proposed approach is based on the integration of the methods and models of machine learning with the methods of psychosemantics and visual analytics, which are implemented as software package that includes three client–server systems for collecting, processing, analyzing and visualizing data.
An approach to assessing and predicting the state of complex special-purpose information systems is considered, taking into account the impact of external factors. The functioning of such systems was studied using multivariate statistical analysis, for which it was proposed to use a method based on the use of matrices of paired and partial correlation coefficients.
Directions for the further development of computer-aided design systems are shown, consisting in the creation of the digital counterparts of products and the intellectualization of the systems themselves. A review of domestic and foreign programs for automated strength calculations for the elements of chemical and oil and gas equipment is presented. The existing methods of calculations according to regulatory documents and/or calculation by the finite element method are described. Programs for strength calculations are being developed in four directions including programs for strength calculations.
An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The notation system and a data formalization method are proposed for training the text analysis model.
Technologies for storing and processing vast amounts of data have opened a new stage in the development of materials science, based on the application of artificial intelligence methods to the results of many years of research. Large volumes of heterogeneous data combined with powerful analytic facilities have allowed us to significantly expand the range and rate of production of research in comparison with empirical methods of selecting materials with specified properties. The emphasis is placed on the specifics of these data, which mainly determines the level and capabilities of information technologies in modern materials science. Their main features are revealed, which guarantee sufficient completeness of the information needed for creating and using various materials. These features include coverage, along with properties, of data on the microstructure and technology of the material; a large amount of qualitative information; and semistructured data type, i.e., the absence of a regular presentation scheme. Using the example of a number of infrastructure projects, the potential of management of materials science data taking into account their volume, logical structure and format are considered.
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