Персона: Артамонов, Алексей Анатольевич
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Институт международных отношений
Цель ИМО и стратегия развития - системная подготовка высококвалифицированных кадров, способных решать нестандартные задачи при реализации международных научно-технологических и торгово-промышленных проектов для компаний и корпораций ключевых секторов экономики страны.
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Алексей Анатольевич
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- ПубликацияТолько метаданныеInformation Analysis Support for Decision-Making in Scientific and Technological Development(2020) Onykiy, B.; Antonov, E.; Artamonov, A.; Tretyakov, E.; Артамонов, Алексей АнатольевичThis paper presents the development of an information and analytical system to foster scientific and technological development in a given scientific field. In this work, the main software tools for implementing distributed computing, which involves a set of software components for collecting, processing, and analyzing large amounts of data, are considered. In addition, various approaches for task coordination between different sets of software are discussed and techniques for storing large amounts of data are described. The system architecture and database schema are designed and tested. Nowadays, the intellectualization of individual software agents is a key aspect of a new generation of multiagent systems. For this reason, this paper develops an approach that can organize activities of a large number of software agents to increase system intellectualization through swarm intelligence at the level of individual agents. Three remote servers were used to build and test the system deployment, comprising such components as a platform for monitoring and scheduling workflow, data storage, and a graphical user interface that enables data retrieval and interaction on the Internet.
- ПубликацияТолько метаданныеGraph visualization of the characteristics of complex objects on the example of the analysis of politicians(2020) Ulizko, M.; Tukumbetova, R.; Antonov, E.; Artamonov, A.; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич© 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).The paper considers the task of analyzing complex interconnected objects using graph construction. There is no unified tool for constructing graphs. Some solutions can build graphs limited by the number of nodes, while others do not visually display data. The Gephi application was used to construct graphs for the research. Gephi has great functionality for building and analyzing graphs. The subject of research is a politician with a certain set of characteristics. In the paper an algorithm that enables to automate data collection on politicians was developed. One of the main methods of data collecting on the Internet is web scraping. Web scraping software may access the World Wide Web directly using the HTTP, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a software agent. The data was necessary for constructing graphs and their analysis. The use of graphs enables to see various types of relationships, including mediate. This methodology enables to change the attitude towards the analysis of multidimensional objects.
- ПубликацияТолько метаданныеComplex Objects Identification and Analysis Mechanisms(2021) Ulizko, M.; Tukumbetova, R.; Tretyakov, E.; Pronicheva, L.; Artamonov, A.; Проничева, Лариса Владимировна; Артамонов, Алексей Анатольевич© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Currently the volume of information on the Internet global network is inclined to increase. It affects various areas of activity. The paper presents the issue of identifying and analyzing complex objects in the context of information sources devoted to project activity of the US National Institutes of Health (NIH). As part of the solution to the problem, information sources relevant to the provided topic were found, and the data were downloaded with the use of agent techniques. The methods of primary analysis and data processing were developed to create a data storage structures in SQL and NoSQL models. The analysis of the presented database models was conducted, their advantages and disadvantages were revealed. As a result software tools have been developed that provide data representation of a complex object and organization of work with it by web interface.
- ПубликацияТолько метаданныеTRACER (TRACe route ExploRer): A tool to explore OSG/WLCG network route topologies(2021) Grigorieva, M.; Tretyakov, E.; Artamonov, A.; Klimentov, A.; McKee, S.; Vukotic, I.; Артамонов, Алексей Анатольевич© 2021 World Scientific Publishing Company.The experiments at the Large Hadron Collider (LHC) rely upon a complex distributed computing infrastructure (WLCG) consisting of hundreds of individual sites worldwide at universities and national laboratories, providing about half a billion computing job slots and an exabyte of storage interconnected through high speed networks. Wide Area Networking (WAN) is one of the three pillars (together with computational resources and storage) of LHC computing. More than 5 PB/day are transferred between WLCG sites. Monitoring is one of the crucial components of WAN and experiments operations. In the past years all experiments have invested significant effort to improve monitoring and integrate networking information with data management and workload management systems. All WLCG sites are equipped with perfSONAR servers to collect a wide range of network metrics. We will present the latest development to provide the 3D force directed graph visualization for data collected by perfSONAR. The visualization package allows site admins, network engineers, scientists and network researchers to better understand the topology of our Research and Education networks and it provides the ability to identify nonreliable or/and nonoptimal network paths, such as those with routing loops or rapidly changing routes.
- ПубликацияТолько метаданныеMultiagent System for Monitoring, Analysis and Classification of Data from Procurement Services(2022) Artamonov, A.; Vasilev, M.; Tukumbetova, R.; Ulizko, M.; Артамонов, Алексей Анатольевич; Тукумбетова, Руфина Рашитовна
- ПубликацияТолько метаданныеEvaluation of Named Entity Recognition Software Packages for Data Mining(2024) Sokolov, I.; Antonov, E.; Artamonov, A.; Соколов, Иван Дмитриевич; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич
- ПубликацияТолько метаданныеDesigning a System for Monitoring the Publication Activity of the Scientific Organization(2024) Malugin, M.; Antonov, E.; Artamonov, A.; Малугин, Матвей Игоревич; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич