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Том 53, № 3 (2019)
- Год: 2019
- Статей: 6
- URL: https://journals.rcsi.science/0005-1055/issue/view/8985
Intelligent Systems
Research and Analysis of the Subject Area of Deep Learning
Аннотация
This paper analyzes the rapidly growing scientific direction of Deep Learning, as one of the most significant parts of artificial intelligence. Using scientometric methods, the growth rates of publications in leading countries and the level of their international cooperation are estimated. The terminological structure of the subject area is investigated and the most perspective directions of studies are revealed. We compare scientometric indicators of Deep Learning with another booming scientific area, Quantum Technology. The conclusion is made that publication activity on Deep Learning is growing faster. It is noted that in both these areas the United States and China are the leaders according to the number of papers. Scientometric analysis showed a fairly low level of publication activity of Russian scientists on Deep Learning and their weak involvement in international cooperation.
103-113
Intelligent DSM Systems as an Automated Support Tool for Scientific Research on Handwriting
Аннотация
114-121
Information Systems
A Method for Digital Twin Generation Based on the Aggregation of Information Objects
Аннотация
The development of information models of physical systems posed the problem of generating a digital twin. A fully-functional digital twin can be created if many of its projections interact simultaneously. The projection interaction problem is due to a set of approaches to decomposing a real-world object and aggregation of an information object. It is proposed to establish relationships between projections by detecting shared data flows using collinear structures.
122-126
Automation of Text Processing
The Ancestral Homeland of the Carriers of the Proto-Indo-European Language: Mathematical Models for the Study of Linguistic Information
Аннотация
Abstract—This paper presents the results of theoretical analysis and computer modeling, which suggest that two main linguistic populations characterized today as the division of Indo-European languages into the so-called “satem-centum” language ranges could emerge in the model Indo-European language community approximately 3500–4000 years ago. The results of computer modeling show that among the two main hypotheses of the formation of the Proto-Indo-Europeans (the Anatolian and Kurgan hypotheses), the latter corresponds to the time estimates we obtained to a greater extent. Some of the problems of the search for the ancestral homeland of the peoples that were carriers of the Proto-Indo-European language are analyzed.
127-137
A Thematic Coherence Study of a Bilingual Corpus of Articles on Oil and Gas Research
Аннотация
Structural differences between scientific articles that arise from their translation from Russian into English are studied using the modal topic modeling technique. Each collected document is represented by two modes, that is, English and Russian. As a result of the topic modeling, the Φ and Θ bimodal matrices are obtained. Analysis of the Φ matrix showed that the topics were divided according to the degree of conformity between Russian and English terms when the words are considered in descending order of probability. For 90% of the topics, the English words fully match the Russian ones. Analysis of the Θ matrix showed that for 99% of the documents there is a subject with a value greater than 0.95. Thus, most of the documents are monotopical, which does not depend on the document language.
138-142
Method of Coding for Multicomponent Objects (RHA) and Its Application for Ordering Roman Fonts
Аннотация
The authors propose to systematize the font frameworks of the ''H'' sign types of different fonts on the base of the RHA information language, which has been developed for different types of objects, by assigning a code to the framework by placing the H font in the standardized window (FontWindow), with the subsequent calculation of quantity characteristics (characterizations). The codes are rendered in a diagram. The sorting of codes is carried out using the SBCO special alphabet, where S, B, C, O are, on one hand, code elements, and on the other hand, component designations of fonts frameworks. The sorting of codes is carried out by alphabets (1) ratings of assignment of components fields in a FontWindow, (2) entropies, and (3) anentropies. The codes are accompanied by the names of coded fonts. The authors propose a principle of placing codes, which does not depend on the name, style, width, the purpose of the font, and its author. The described method organizes H fonts by resembling of their frameworks. The created list-catalog can include all Latin and Cyrillic H fonts of direct inscriptions. The catalog layout includes 99 codes of H font frameworks ranged into 6 classes from 24 possible classes in the system made by authors. The proposed variant of the applying of the method can be used as a base of creating of a common method of coding and systematization of bicolored (in the present paper) and multicolored images on the plane, including maps and other presentations, which include sets of components of different colors and forms.
143-159