{"title":"Resilience of critical infrastructure of regional security","authors":"D. Khaliullina, V. Bystrov","doi":"10.37614/2307-5252.2021.5.12.009","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.009","url":null,"abstract":"The article is devoted to the development of the concept of regional security management based on the principles of ensuring the resilience of critical infrastructures. The article is a problem statement and considers general theoretical issues in the field of resilience of complex systems. The authors identify two main approaches to the model of representation of the regional security system from the perspective of ensuring its resilience.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128825849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The geoattributed entity extraction technology for visual representation of objects spatial relations based on automated schematic map generation","authors":"A. Vicentiy, M. Shishaev","doi":"10.37614/2307-5252.2021.5.12.003","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.003","url":null,"abstract":"This paper considers the problem of extracting geoattributed entities from natural language texts to visualize the spatial relations of geographical objects. For visualization we use the technology of automated generation of schematic maps as subject-oriented components of geographic information systems. The paper describes the information technology that allows extracting geoattributed entities from natural language texts by combining several approaches. These are the neural network approach, the rule-based approach and the approach based on the use of lexico-syntactic patterns for the analysis of natural language texts. For data visualization we propose to use automated geocoding tools in conjunction with the capabilities of modern geographic information systems. The result of this technology is a cartogram that displays the spatial relations of the objects mentioned in the text.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122001163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approach to finding a global optimum in constrained clustering tasks involving the assessments of several experts","authors":"A. Zuenko, O. Fridman, O. N. Zuenko","doi":"10.37614/2307-5252.2021.5.12.007","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.007","url":null,"abstract":"An approach to solving the constrained clustering problem has been developed, based on the aggregation of data obtained as a result of evaluating the characteristics of clustered objects by several independent experts, and the analysis of alternative variants of clustering by constraint programming methods using original heuristics. Objects clusterized are represented as multisets, which makes it possible to use appropriate methods of aggregation of expert opinions. It is proposed to solve the constrained clustering problem as a constraint satisfaction problem. The main attention is paid to the issue of reducing the number and simplifying the constraints of the constraint satisfaction problem at the stage of its formalization. Within the framework of the approach, we have created: a) a method for estimating the optimal value of the objective function by hierarchical clustering of multisets, taking into account a priori constraints of the subject domain, and b) a method for generating additional constraints on the desired solution in the form of “smart tables”, based on the obtained estimate. The approach allows us to find the best partition in the problems of the class under consideration, which are characterized by a high dimension.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122225206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recognition of spatial data from natural language texts for the purpose of visualization","authors":"Boris M. Pileckiy","doi":"10.37614/2307-5252.2021.5.12.004","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.004","url":null,"abstract":"This paper describes one of the possible implementation options for the recognition of spatial data from natural language texts. The proposed option is based on the lexico-syntactic analysis of texts, which requires the use of special grammars and dictionaries. Spatial data recognition is carried out for their subsequent geocoding and visualization. The practical implementation of spatial data recognition is done using a free, freely distributed software tool. Also, some applications of spatial data are considered in the work and preliminary results of spatial data recognition are given.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134488006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data Mining - methods and algorithms, summary","authors":"O. Fridman","doi":"10.37614/2307-5252.2021.5.12.008","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.008","url":null,"abstract":"The article provides a brief overview of Data Mining methods and algorithms which are used in solving various tasks where both quantitative and qualitative data have to be processed. The purpose of the review is a brief description of the methods and algorithms, as well as a list of sources in which they are described in detail. The features of existing approaches to solving such problems are considered, the analysis of modern methods for solving Data Mining problems is carried out.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125848081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Two-stage technology of automated terminology extraction based on topic modeling and context analysis","authors":"M. Shishaev, V. Dikovitsky, P. Lomov","doi":"10.37614/2307-5252.2021.5.12.001","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.001","url":null,"abstract":"The paper deals with the task of automated terminology extraction. A two-stage technology for its solution is proposed, based on topic modeling and analyzing the context of the use of lexical units. The results of experimental verification of the technology and the prospects for its further development are presented.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"653 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116181956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information technology for risk analysis of pressure vessels","authors":"A. V. Shestakov, A. Shemyakin, S. Yakovlev","doi":"10.37614/2307-5252.2021.5.12.019","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.019","url":null,"abstract":"An integral part of any production is to ensure industrial and natural safety. One of the potential solutions to such problems can be considered as modeling and visualization of emergency situations, as well as their analysis. The authors of the article propose to use geographic information system technologies in order to conduct primary risk assessment by simulating the propagation of an explosive shock wave in emergencies associated with the rupture of vessels under high pressure.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander V. Smirnov, N. Teslya, E. Moll, S. Mikhailov, T. Levashova
{"title":"Intellectual support for socially-oriented operational decisions making during hospitalization, taking into account limited resources and human behavior","authors":"Alexander V. Smirnov, N. Teslya, E. Moll, S. Mikhailov, T. Levashova","doi":"10.37614/2307-5252.2021.5.12.006","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.006","url":null,"abstract":"The research was carried out with the financial support of the Russian Foundation for Basic Research within the framework of scientific project No. 20-04-60054 in terms of support for making socially-oriented decisions and budgetary topic No. 0073-2019-0005 in terms of organizing user interaction with the system.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116601944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling of development scenarios for industrial-natural system","authors":"A. Fridman","doi":"10.37614/2307-5252.2021.5.12.018","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.018","url":null,"abstract":"An interrelated set of methods for synthesis, static and dynamic comparison of various admissible scenarios for development of industrial-natural systems is briefly introduced and analyzed. These methods make it possible to solve various issues of design, strategic and operational management of such systems including emergencies, as well as to coordinate interactions of several decision makers involved within one system.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a simulation model of personnel logistics of a production cluster","authors":"S. Malygina, E. O. Neupokoeva","doi":"10.37614/2307-5252.2021.5.12.010","DOIUrl":"https://doi.org/10.37614/2307-5252.2021.5.12.010","url":null,"abstract":"The article discusses the development of a simulation model of a production cluster by means of the Anylogic University 8.7 software tool system using agent-based and system-dynamic approaches. The authors focus on isualization tools and software implementation of algorithms for the movement of labor resources within the cluster enterprises, taking into account various restrictions.","PeriodicalId":438304,"journal":{"name":"Transaction Kola Science Centre","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}