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检索条件"机构=Laboratory of modular data processing and control systems"

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Scenario Analysis of Protest Potential Based on Simulation Modeling 12

Scenario Analysis of Protest Potential Based on Simulation M...

引用

12th International Conference on Mathematical Modeling in Physical Sciences, IC-MSQUARE 2023

作者： Chernov, Igor Feyzov, Vadim Institute of Control Sciences RAS Laboratory of Modular Data Processing and Control Systems Russia

In this study, we present a scenario-based approach to investigate the protest potential in society using mathematical tools from graph theory and simulation modeling. The research aims to construct a cognitive map that reflects key factors, such as population deprivation levels, overall well-being, social fears, trust in authority, social expectations, and stability of social structures. We report the results of a scenario analysis of the developed model, obtaining forecasted scenarios of the dynamics of society's protest potential under various conditions and influences. At the core of this research is the examination of a complex system's possible response to external destructive impacts, and we propose a set of measures to counteract these influences on societal dynamics. The scenario methodology combines graph theory for representing complex relationships between key factors and simulation modeling for predicting potential developmental scenarios. Conducting this study required modifying the traditional mathematical apparatus of cognitive modeling. We developed methods and algorithms for scenario-event identification of the model's significant factors' behavior and utilizing the results of such identification when forming complex functional relationships in the scenario model. In generating scenarios, the range of events is significantly expanded compared to traditional cognitive modeling approaches, which could have been overlooked but may be crucial for situational analysis. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Graph theory

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Scenario Approach to Countering Mail Phishing Attacks in the Business Sphere 16

Scenario Approach to Countering Mail Phishing Attacks in the...

引用

16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Feyzov, Vadim Institute of Control Sciences Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (纸本)9798350337907

This paper presents an interdisciplinary research in cybersecurity, examining the impact of employees' behavioral factors on vulnerability to phishing attacks by email, using various scenarios. The research considers the psychological traits of employees in different departments of a company and assesses their influence on susceptibility to phishing attacks. The author proposes an approach that allows companies to develop more effective counter-phishing strategies. This approach helps identify unique psychological and behavioral patterns that can serve as risk factors in the context of phishing attacks. © 2023 IEEE.

关键词： Personnel

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Scientific Research Transformation Needed for Comprehensive Artificial Intelligence Implementation 17

Scientific Research Transformation Needed for Comprehensive ...

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17th International Conference on Management of Large-Scale System Development, MLSD 2024

作者： Medennikov, Viktor Bogatyreva, Larisa Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (纸本)9798350375718

The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry's digital transformation resulting in the appearance of precise agrarian technologies that require a comprehensive, system-based combination of research and production resources that are able to ensure increased productivity in the industry. We demonstrate that among these new technologies, the artificial intelligence methods have a special significance. They have to, however, go through integration transformations to become standards for the proposed common digital farming management platform. © 2024 IEEE.

关键词： Agricultural economics

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Scenario Models Based on a Digital Portrait of a Person 15

Scenario Models Based on a Digital Portrait of a Person

引用

15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Chernov, Igor Feyzov, Vadim V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

This article is devoted to the study of the problems of developing cognitive models of personality psychological makeup based on digital portrait data. The authors present results of the analysis of data collection technologies which are used to form digital portraits of a person and the problems of personal data security in the network and research scenario study of the developed graph cognitive model of the personality psychological makeup and the processes of informational influence on it. © 2022 IEEE.

关键词： Analytical models Public relations Law data security Psychology data collection Market research

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Formalized Models and Methods for Building Efficient Digital Information Funds of Intellectual Property 15

Formalized Models and Methods for Building Efficient Digital...

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Kulba, Vladimir Sirotyuk, Vladimir V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory Modular Data Processing and Control Systems Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

The goals, objectives and criteria of the effectiveness of the creation, maintenance and use of the Digital Information Fund of Intellectual Property (DIFIP) are considered. A formalized methodology is proposed for designing DIFIPs, increasing its efficiency and quality, based on a set of interconnected models, methods and algorithms for analysis, synthesis and normalization distributed information management of DIFIP's structure;classification of databases users of patent and scientific and technical information;synthesis of optimal logical structures of the DIFIP database and thematic databases;assessing the quality of the database and ensuring the required level of data security. © 2022 IEEE.

关键词： Information management

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Management of Scientific Agricultural Digital Ecosystems Based on Ecosystem Classification 16

Management of Scientific Agricultural Digital Ecosystems Bas...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Kulba, Vladimir Medennikov, Viktor V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia

ISBN: (纸本)9798350337907

The paper considers a mathematical model for managing a scientific digital ecosystem exemplified by the agriculture case;the model enables assessing the impact science exerts on the regions' socioeconomic position in order to build an adequate response to the advanced economies' regime of severe sanctions against Russia. For these purposes, a systemic analysis of the subject identification and classification of ecosystems was conducted to address the critical issue of determining the basic concepts and terms of the country's digitalization. © 2023 IEEE.

关键词： Agriculture

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Scenario Modelling of Country's Region Development with Artificial Intelligence Support 12

Scenario Modelling of Country's Region Development with Arti...

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12th IEEE International Conference on Communication systems and Network Technologies, CSNT 2023

作者： Chernov, Igor Dranko, Oleg Guo, Meng Novikov, Dmitry Pan, Jingshan Raikov, Aleksandr Institute of Control Sciences Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia Laboratory of Management of Large-scale Systems Development Institute of Control Sciences Ras Moscow Russia Jinan Institute of Supercomputing Technology National Supercomputing Centre in Jinan Shandong Jinan China Moscow Russia

ISBN: (纸本)9781665462617

The paper describes the modern control (governance, management) science approach to the socioeconomic development of a country's region (province, subject, municipality) in the context of public administration. Proven methods for strategic goal setting, scenario and economic modelling with artificial intelligence support based on opportunity assessing and system optimisation are presented. The region is given as an integrated object for control. Strategic planning uses hierarchy analysis methods. The experience of scenario modelling, evaluation, and selection of priority scenarios of the region's socioeconomic development with estimating the current economic indicators of the region is represented. The deep learning approach and big data analysis help to verify and automatically create scenario models under team members' control. The proposed methodology has a significant approbation in the real sector of the economy. © 2023 IEEE.

关键词： Public administration

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Scenario Approach to Countering Mail Phishing Attacks in the Business Sphere

Scenario Approach to Countering Mail Phishing Attacks in the...

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Vadim Feyzov Laboratory of Modular Data Processing and Control Systems Institute of Control Sciences RAS Moscow Russian Federation

This paper presents an interdisciplinary research in cybersecurity, examining the impact of employees’ behavioral factors on vulnerability to phishing attacks by email, using various scenarios. The research considers the psychological traits of employees in different departments of a company and assesses their influence on susceptibility to phishing attacks. The author proposes an approach that allows companies to develop more effective counter-phishing strategies. This approach helps identify unique psychological and behavioral patterns that can serve as risk factors in the context of phishing attacks.

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Convergent Ontologization of Collective Scientific Discoveries 14

Convergent Ontologization of Collective Scientific Discoveri...

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14th International Conference Management of Large-Scale System Development, MLSD 2021

作者： Raikov, Alexander Laboratory of Modular Data Processing and Control Systems V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia

ISBN: (纸本)9781665412308

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. © 2021 IEEE.

关键词： Ontology

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Artificial Intelligence and Robots in Agriculture 15

Artificial Intelligence and Robots in Agriculture

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Raikov, Alexander Abrosimov, Vyacheslav Institute of Control Sciences Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia Main Research and Test Interspecific Center for Advanced Weapons of the Ministry of Defense of Russia Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

The article addresses the generalization of modern challenges to agricultural production from robotization and artificial intelligence (AI). The classification of agricultural robots is given for the identification of development trends. It is shown the possibilities of using agricultural robots and AI systems to improve the efficiency of agriculture in the field of crop and livestock production. Approaches to the construction and use of information resources for solving problems of precision farming and animal husbandry are described. The justification is given that agriculture robots are successfully used for solving the problems of complex agrochemical soil survey, recognition of plant diseases, weed, and pest control, cattle feeding, milking, etc. General approaches to the use of agriculture robots in the context of using the Internet are described. Methods and means of AI are considered mainly on examples from the field of animal husbandry, where they are used to diagnose behavior, proactively detect diseases in animals and birds, etc. © 2022 IEEE.

关键词： Disease control

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