{"title":"Digital Twin of the Technological Process of the NPP Power Unit","authors":"Elena Jharko","doi":"10.1109/mlsd52249.2021.9600212","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600212","url":null,"abstract":"The article presents a flexible modeling system (FMS) of an NPP power unit. The principles of constructing an FMS based on selective programming and its structure are described, and the modeling and experimental data results are compared. This FMS can be considered a digital twin of an NPP power unit, which makes it possible to predict the course of the technological process and simulate the actions of operating personnel and failures of technological equipment.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114084174","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":"SDDRE Based Approximate Solution in Trajectory Tracking Control Problem for a Model of Two-Wheeled Differentially Driven Mobile Robot","authors":"D. Makarov","doi":"10.1109/mlsd52249.2021.9600159","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600159","url":null,"abstract":"The paper is devoted to the problem of implementing a reference trajectory for a nonlinear model of a two-wheeled robotic system. Each of the two wheels has independent control. An approximate solution to the trajectory tracking control problem is obtained based on a modification of the well-known heuristic approach based on the state-dependent differential Riccati equation (SDDRE) technique. The advantage of the obtained solution is its computational efficiency. Numerical experiments showed that the quality of the obtained control is slightly inferior to the quality of the control obtained using the regular SDDRE.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114556688","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 Exchange Module Implementation for NPP APCS Gateway between Upper Unit Level System and Lower Level Systems","authors":"V. Stepanov","doi":"10.1109/mlsd52249.2021.9600142","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600142","url":null,"abstract":"This document describes structure and algorithms of the data exchange module of NPP APCS gateway, based on example of “gate” program for gateway interface software of upper unit level control system, developed in ICS of RAS. This “gate” program is designed to communicate with SICAM devices by Siemens AG, using IEC 60870-5-104 protocol.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115880404","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":"Problems of Using Compromise Indicators for Proactive Threat Detection in Robotic Systems","authors":"A. Iskhakov, R. Meshcheryakov, S. Iskhakov","doi":"10.1109/mlsd52249.2021.9600133","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600133","url":null,"abstract":"The article considers the current problems of applying proactive algorithms for detecting threats in robotics complexes and structures the ways of solving them. A classification of indicators of compromise for the proactive search of previously unknown threats in robotic systems is proposed.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124439642","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":"Threat Comparison for Large-Scale Systems Using Different Browsers","authors":"E. Kurako, V. Orlov","doi":"10.1109/mlsd52249.2021.9600123","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600123","url":null,"abstract":"The main threats in complex networks for large-scale information systems using web browsers or service browsers are analyzed. The necessary security features for these types of systems are compared. The advantages of systems developed with service-browser technology are shown.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121440067","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 Replication in Ad-Hoc Mobile Networks MANET","authors":"V. Kulba, S. Somov","doi":"10.1109/mlsd52249.2021.9600240","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600240","url":null,"abstract":"The paper proposes a method and a new heuristic algorithm for distributing data replicas in ad-hoc mobile networks MANET. The algorithm is based on the analysis of changes in the network topology and the traffic of requests to replica data. A method for redistribution of data replicas is proposed, which takes into account the special aspects of MANET networks and changes in the network topology. The algorithm uses several heuristics to efficiently redistribute replicas to maintain a high degree of availability and data integrity.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998495","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":"Time series analysis and financial asset forecasting methods","authors":"V. Ivanyuk, A. Tsvirkun","doi":"10.1109/mlsd52249.2021.9600198","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600198","url":null,"abstract":"The article discusses the principal features of time series. Time series analysis makes it possible to identify trends, cycles, and seasonal variances to aid in the forecasting of a future event. Statistical forecasting methods and machine learning-based methods are described. Neural network models are widely used in stock market forecasting because of their inherent ability to identify complex nonlinear relationships present in given time series and to accurately approximate any nonlinear function.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066461","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}
Timur Devyatkov, V. Devyatkov, Alexey V. Gabalin, Konstantin I. Shuvalov
{"title":"BIM Models Enhancement Through Simulation Modeling","authors":"Timur Devyatkov, V. Devyatkov, Alexey V. Gabalin, Konstantin I. Shuvalov","doi":"10.1109/mlsd52249.2021.9600146","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600146","url":null,"abstract":"The technique of combining BIM and simulation modeling is considered. The increasing role of BIM in building projects, along with the poor quality of the control aspect in BIM, is noticed. The enhancement of the BIM in the field of control modeling using different simulation models of logistics and evacuation is proposed.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689758","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":"Convergent Ontologization of Collective Scientific Discoveries","authors":"A. Raikov","doi":"10.1109/mlsd52249.2021.9600184","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600184","url":null,"abstract":"This paper addresses the acceleration of scientific discoveries by developing logical and cognitive ontologies in a special convergent way that ensures the acceleration and purposefulness of collective scientific discussions. It is noted that modern information systems, which have been created to support scientific activities, focus on information and reference work. They help analyse retrospective data to predict the development of events and reveal hidden relationships in big data and knowledge. At the same time, the known methods of creating ontologies are used to build artificial intelligence (AI) models by explicating the knowledge of experts and big data. It is shown in the paper that modern approaches to creating ontologies excessively reduce non-formalized and uncaused cognitive processes of scientific discoveries such as free will, consciousness, unconsciousness, feelings, thoughts, and experience. Attempts to formalize these processes lead to an incorrect and incomplete replacement of infinite-dimensional and continuous cognitive phenomena by finite-dimensional spaces, digital numbers, and discrete symbols. To compensate for the resulting cognitive distortions, a special approach has been developed to represent convergent scientific creativity processes in AI models more correctly and completely by using the capabilities of hybrid (human-machine) AI, the cognitive semantics of AI models, and the method of inverse problem-solving in topological spaces. The idea of using a nonlocal approach to enrich the cognitive semantics of AI models that considers the subatomic structure of the human mind's biological tissue is also considered. Currently, the proposed approach is successfully used for accelerating collective strategic planning in the real digital economy.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636378","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}
Sergey Bogdanov, T. Bogdanova, Nikolay V. Zvyagintsev
{"title":"Development of a Large-Scale Holding for Servicing World-Class Oil and Gas Projects","authors":"Sergey Bogdanov, T. Bogdanova, Nikolay V. Zvyagintsev","doi":"10.1109/mlsd52249.2021.9600210","DOIUrl":"https://doi.org/10.1109/mlsd52249.2021.9600210","url":null,"abstract":"The report presents the methodology and results of the assessment of the development of the Russian large-scale holding. The analysis of indicators characterizing the multidimensional production, economic, and personnel specifics of the work of a unique Russian company - PJSC Sovcomflot, specializing in the transportation of products, and services for the domestic oil and gas complex.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116363012","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}