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 метаданныеEvaluation of the Level-of-Detail Generator for Visual Analysis of the ATLAS Computing Metadata(2019) Grigorieva, M. A.; Titov, M. A.; Alekseev, A. A.; Klimentov, A. A.; Artamonov, A. A.; Milman, I. E.; Galkin, T. P.; Pilyugin, V. V.; Артамонов, Алексей Анатольевич; Пилюгин, Виктор Васильевич© 2019, Pleiades Publishing, Ltd.The ATLAS experiment at the LHC processes, analyses and stores vast amounts of data, which is either recorded by the detector or simulated worldwide using Monte Carlo methods. ATLAS Computing metadata is generated at very high rates and volumes. The necessity to analyze this metadata is constantly increasing, since the heterogeneous, distributed and dynamically changing computing infrastructure requires sophisticated optimization decisions, made by human or/and by machines. Visual analytics is one of the methods facilitating the analysis of massive amounts of data (structured, semi-structured, and unstructured) which leverages human judgement by means of interactive visual representations. Given the huge number of ATLAS computing jobs that need to be visualized simultaneously for error investigations or other optimization processes, resources of the client application responsible for such visualization may reach its limits. Data objects that share similar feature values can be represented and visualized as a single group, thus initial large data sample would be represented at different levels of detail. This approach will also avoid client overload. In this paper we evaluate implementations of k-means-based Level-of-Detail generator method applied to the metadata of ATLAS jobs. This method is used in the visual analytics application InVEx (Interactive Visual Explorer) that is under development, and which is based on 3-dimensional interactive visualization of multidimensional data.
- ПубликацияТолько метаданныеMultiagent information technologies in system analysis(2019) Inkina, V. A.; Antonov, E. V.; Artamonov, A. A.; Ionkina, K. V.; Tretyakov, E. S.; Cherkasskiy, A. I.; Антонов, Евгений Вячеславович; Артамонов, Алексей Анатольевич; Ионкина, Кристина Вячеславовна; Черкасский, Андрей ИгоревичCopyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).Agent technologies currently play an increasingly important role in the information technology industry given its ability to learn and evolve, to solve information management problems, to employ data visualization and many other benefits. As a computer program, an agent deals with a challenge Internet users face every single day: to obtain reliable and effective data in the specific thematic field. Multiagent system consists of two or more autonomous agents and aimed at solving complex problems, such as Big Data, Data mining, primary structured and unstructured information processing (including text, numbers and multimedia types of data).
- ПубликацияОткрытый доступТрехуровневая система агентного поиска и обработки научно-технической информации(НИЯУ МИФИ, 2016) Артамонов, А. А.; Артамонов, Алексей Анатольевич; Оныкий, Б. Н.