Approaches to assessing the semantic similarity of texts in a multilingual space

This paper is devoted to the development of a methodology for evaluating the semantic similarity of any texts in different languages is developed. The study is based on the hypothesis that the proximity of vector representations of terms in semantic space can be interpreted as a semantic similarity in the cross-lingual environment. Each text will be associated with a vector in a single multilingual semantic vector space. The measure of the semantic similarity of texts will be determined by the measure of the proximity of the corresponding vectors. We propose a quantitative indicator called Index of Semantic Textual Similarity (ISTS) that measures the degree of semantic similarity of multilingual texts on the basis of identified cross-lingual semantic implicit links. The setting of parameters is based on the correlation with the presence of a formal reference between documents. The measure of semantic similarity expresses the existence of two common terms, phrases or word combinations. Optimal parameters of the algorithm for identifying implicit links are selected on the thematic collection by maximizing the correlation of explicit and implicit connections. The developed algorithm can facilitate the search for close documents in the analysis of multilingual patent documentation.

Network-centric concept of tourist and recreational systems management: municipal aspect

The article discusses the theoretical and applied aspects of a new approach to the management of tourist and recreational systems based on a network-centric model. The model is based on the application of a network structure of information exchanges between tourist enterprises, consumers of tourist services and marketing organizations. In this network structure, clusters or aggregations of objects consisting of homogeneous small and medium-sized tourist enterprises are distinguished. The principle of self-synchronization in the network-centric construction of management in tourist and recreational systems is considered. The concept of "tourist and recreational attractor” is introduced. The strategy of "borrowing" in the application of mechanisms for the diffusion of innovations and advanced tourist and recreational technologies in the tourism industry of Russian regions is justified. A multi-network scheme of innovative development of the tourist and recreational sphere, including the educational segment, is proposed. The tourist and recreational system is considered at the municipal level. A multi-network scheme of innovative development of the tourist and recreational sphere, including the educational segment, is proposed. Approbation of the research results was carried out within the framework of tourist and recreational design of the Moscow and Tver regions municipalities. It is concluded that the network-centric concept, being innovative, has a high applied value and allows solving existing problems in their interrelation, providing competitive indicators (the volume of tourism, employment of supporting personnel, the size of investments). The results obtained in the study can be successfully replicated at the regional level of tourism and recreation management.

About leak detection systems in the framework of LBB concept application at Russian NPPs

Application of "leak before break" concept to reactor coolant circuit is obligatory for RF NPPs and the success depends also on fulfilment of requirements to the leak detection systems specified in RF national standard. During 1999-2020 requirements to the leak detection systems were permanently improved in regulatory documents. The most important changes in requirements have been done according to the Federal law on ensuring the uniformity of measurements. Paper gives comparative analyses of these evolutionary changes of requirements as well as details of their implementation during design and manufacturing of leak detection systems to supply NPP Units with VVER-440/1000/1200 and RBMK-1000 reactor facilities. Recently approved in the Russian Federation, the Federal norms and rules (FNR) in the field of atomic energy use ensure the continuity of the general requirements for reactor coolant leak monitoring (detection) systems (LDS) at nuclear power plants (NPPs) in relation to the previously valid regulatory documents.

Hydrocarbon field development forecast based on an integrated approach

A hydrocarbon field is a large and complex system, which functioning is possible only in accordance with a project document that defines the main characteristics for the entire period of field development. Therefore, the quality of the project document largely determines the efficiency of the field system functioning. The last stage in creating a project document for the development of a field is an economic assessment. According to the experience of designing the development of hydrocarbon fields, up to 50% of capital investments are the costs of drilling new wells of various types. Thus, the economic efficiency of field development is largely determined by the volume of drilling new wells. The article presents an integrated approach to modeling the development of hydrocarbon deposits in making a production forecast. Such an integrated approach involves performing a rapid economic assessment using Economics software which allows you to calculate the main economic indicators of field development. Thus, it reduces the total number of iterations for setting the forecast for field development strategy by an average of 25% as well as improves the economic characteristics of the whole project.

The problems of human embryos genome editing from the position of Christian denominations

Modern biomedical technologies pose bioethical dilemmas for humanity. On the one hand, medical advances can make life much easier for people, but, on the other hand, the problem of interference in human nature actualizes the most fundamental questions regarding his ontology, the boundaries of permissible transformations, the responsibility of a scientist and a specialist who applies the latest technologies, for remote and unpredictable consequences, due to the integrity and interconnectedness of various aspects of human nature. In the scientific literature, there is a lot of information about the attitude of various denominations to genetic manipulation. This paper presents the experience of generalizing and systematizing the attitude of the main Christian confessions to the problem of editing the human embryo genome. The assessment of modern biomedical technologies from the standpoint of the Christian worldview differs, on the one hand, in the moral depth due to spiritual experience in relation to the higher divine principle, and, on the other hand, if we bear in mind the specificity of the Orthodox, Catholic and Protestant views on the problem of genetic manipulations, it is diversity interpretations in connection with historically arisen and existing to this day confessional and doctrinal differences.

Citizens’ digital infrastructure as a new element of modern society critical infrastructure

Widespread digitalization of the modern society - the emergence of digital devices, the introduction of Internet of Things, the development of Big Data processing and other technologies result in new challenges. Not only industrial and corporate automation that has already been considerably covered by the legislation initiatives but also the digitalization of everyday life has started to constitute a critical infrastructure in the modern society. This largely happens because digital devices substituting traditional technologies owned by citizens are incorporated into corporate, financial and state business processes. For instance, citizens’ devices are becoming the source of primary data for energy and utility companies. More opportunities for the direct interaction of automation solutions between themselves resulting in a controversial synergy effect have been emerging recently. The article addresses specifics of citizens’ digital infrastructure in the light of critical infrastructure, in particular the necessity and special aspects of legal and regulatory framework and possible development trends of this functionality.

Research and development of linguo-statistical methods for forming a portrait of a subject area

The project aims to solve the fundamental scientific problem of semantic modeling, within the framework of which a methodology is developed for the automated identification of translation links (translation correspondences), as well as hierarchical, synonymous and associative links from Internet texts and the construction of multilingual associative hierarchical portraits of subject area (MAHPSA), in particular, on autonomous uninhabited underwater vehicles (UUV). Accounting for multilingual and heterogeneous resources allows you to get a more complete picture of what is happening in the subject area, to identify the sources of the origin of ideas, the speed and directions of their distribution, to identify significant documents and promising directions. The solution to the problem is based on an integrated approach that combines the methods of statistics, corpus linguistics and distributive semantics, and is implemented in technology that involves the development of linguo-statistical mechanisms for the formation of a multilingual associative hierarchical portrait of a subject area, which is a dictionary of significant terms of the subject area, the elements of which organized in synonymous series (synsets), including translational correspondences, as well as associative and hierarchical relationships.

Network Approach for Visualizing the Evolution of the Research of Cross-lingual Semantic Similarity

The paper is devoted to the problem of the bibliometric study of publications on the topic “Cross-lingual Semantic Similarity”, available in the Dimensions database. Visualization of scientific networks showed fragmentation of research, limited interaction of organizations. Leading countries, leading organizations and authors are highlighted. Overlay visualization allowed us to assess the trends in citing authors. The expansion of the geography of research is shown. For international cooperation, the uniformity of semantic approaches to describing the concepts of critical infrastructure, incidents, resources and services related to their maintenance and protection is important. The stated approaches can be applied for visualization and modeling of technological development in the modern digital world. Semantic similarity is a longstanding problem in natural language processing (NLP). The semantic similarity between two words represents the semantic proximity (or semantic distance) between two words or concepts. This is an important problem in natural language processing, as it plays an important role in finding information, extracting information, text mining, web mining and many other applications.

Approaches to assessing the semantic similarity and future citation of publications by identifying informative terms with predictive properties

The article discusses new approaches to assessing the semantic similarity of documents in a vector space, taking into account statistically significant and informative terms. Informative terms reflect the current state of research in a certain field of research. To select informative terms, an algorithm for calculating the impact factor of the term is proposed. It is shown that informative terms allow both to evaluate the semantic similarity of texts and to predict future citations. The developed methods for assessing the semantic similarity and future impact of scientific publications can be used in the framework of “Predictive optimization”, a modern technology that allows us to make decisions based on forecasts. In evaluating the activities of research and individual scientists, bibliometric indicators often play an important role. However, the use of citation-based indicators is problematic in determining the impact of recent publications. Usually, two years after the publication of most articles, they receive only a few links. The probability of future citation can be predicted using the proposed indicator - IFT.

Investigation of Algorithms for Generating Surfaces of 3D Models Based on an Unstructured Point Cloud

Methods of 3D object model creation on the basis of unstructured (sparse) cloud of points are considered in the paper. The issues of combining point cloud compaction methods and subsequent surface generation are described. The comparative analysis of generation surfaces algorithms for the purpose of revealing of more effective method using as input data the depth maps received from the sparse cloud of points is carried out. The comparison is made by qualitative, quantitative and temporal criteria. The optimal method of 3D object model creation on the basis of unstructured (sparse) cloud of points and depth map data is chosen. The mathematical description of the point cloud compaction method on the basis of stereo-matching with application of two-phase algorithm of species search and depth map extraction from Multi-View Stereo for Community Photo Collections source image set is provided. The implementation of the method in open-source software Regard3D is realized in practice.