This article describes the principles of creating an intelligent system using a JSM method of automated research support (JSM method ARS) to predict the feasibility of computed tomography application. The procedures of JSM research that are adopted to increase the reliability of the empirical regularities obtained in the system are described. The obtained empirical regularities and their expert ratings are given.
The author discusses the growth of bibliometric and scientometric studies in various fields of knowledge. The patterns of its development are similar to the flow of bibliographies that at one time led to the emergence of the bibliography of bibliographies. It is noted that similar features allow us to speak about the emergence of the bibliometrics of bibliometrics as a new area of research.
This paper proposes a method of countering spoofing attacks by improving the resilience of face-based biometric authentication systems to digital face manipulation attacks on the biometric input module. The proposed method of digital face manipulation detection (deepfake detection) is based on a convolutional neural network trained on a large dataset containing various types of manipulations, images of different quality, and a large number of identities and as a result achieves an accuracy of at least 99%. Experiment results also indicate high performance of the proposed approach compared to other available methods tested on the same dataset. The method can be used to improve the security of biometric authentication systems by reducing the risk of unauthorized access.
The purpose of this article is to present the principles of a developed algorithm for identifying trends based on the analysis of big text data and presenting the result in formats that are convenient for decision makers to be implemented in the iFORA Big Data Mining System. The paper provides an overview of existing text analytics algorithms; outlines the mathematical basis for identifying terms that mean trends, which is proposed and tested for dozens of implemented projects; describes approaches to clustering terms based on their vectors in the Word2vec space; and provides examples of two key visualizations (semantic, trend maps) that outline the range of topics and trends that characterize a particular area of study, as a way to adapt the results of the analysis to the tasks of decision makers. The limitations and advantages of using the proposed approach for decision support are discussed, and directions for future research are suggested.
The control system of the F-2 companion robot implements a competitive system of rules (scenarios) to model the robot’s reactions to a wide range of events. The system is designed in such a way as to provide balanced responses by the robot to speech utterances and other events recognized by the computer vision system (orientation of the user’s face and gaze, events in the tangram game), as well as to the user’s touches. In this experiment, we apply this system to evaluate two robots that are able to determine the orientation of a person’s face and the direction of the gaze and respond differently to his attention. The implicit reactions of a person to the robot’s gaze and the problems of differences between reflexive and reflex behavior in eye movements in comparison with other communicative actions are considered.
In order to study global experience for legislation changing and rule-making necessitates, tools for information retrieval of regulatory documents written in different languages become increasingly necessary. One of the aspects of information identification is retrieval of thematically similar documents for a given input document. In this context, an important task of cross-lingual search arises when the user of an information system specifies a reference document in one language, and the search results contain relevant documents in other languages. The article describes different approaches to solving this problem: from classic mediator-based methods to more modern solutions, based on distributional semantics. The test collection used in the study was taken from the United Nations Digital Library, which provides legal documents in both the original English and their Russian translations.
This article examines sociopolitical discourse using a method of the intelligent analysis of texts on social and political psychology. A methodology for applying the tool in sociopolitical research is proposed. The most significant psycholinguistic indicators for comments on political and nonpolitical Russian YouTube channels are determined and analyzed.
Modern robots can perform a wide range of tasks when working together with a person. During collaboration, the robot can receive commands from a person through various control systems, as well as through natural language. Utterances in natural language have a significant degree of ambiguity (homonymy). In this paper we examine the methods used to process utterances and resolve the possible homonymy in the speech control of a robot in a natural or virtual environment.
This article considers the problem of planning a complex of nonconflicting paths for a set of agents that are capable of performing actions of arbitrary duration. Two bounded-suboptimal modifications of a conflict-based search algorithm are proposed as solutions to the problem. The results of model experimental studies demonstrate the high computational efficiency of the proposed modifications.
This article considers mathematical models that describe the emotional education of digital twins who are psychological analogs of humans. A mathematical model of an emotional robot’s interest in media projects is proposed. The results of the verification of the mathematical model by field experiments confirm the adequacy of the constructed model of interest of a digital twin to human interest. The algorithm of the construction of the broadcast schedule of media projects providing the constant interest of emotional robots is presented.
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