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Каминский, Владимир Ильич

Организационные подразделения

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Другие подразделения НИЯУ МИФИ

Структурные подразделения НИЯУ МИФИ, не включенные в состав институтов и факультетов.

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Каминский

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Владимир Ильич

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Теперь показываю 1 - 10 из 28

Только метаданные
Modernized Program for the Vacuum Chamber Coupling Impedance Calculation BeamImpedance2Dx
(2022) Kaminskii, V. I.; Matsievskiy, S. V.; Rashikov, V. I.; Каминский, Владимир Ильич; Мациевский, Сергей Викторович; Ращиков, Владимир Иванович
Только метаданные
Equivalent Circuit Method Application for Traveling Wave Accelerating Structure Wave Mode Converter Coupler Tuning
(2022) Matsievskiy, S. V.; Kaminskii, V. I.; Gorchakov, A. A.; Lalayan, M. V.; Gusarova, M. A.; Sobenin, N. P.; Мациевский, Сергей Викторович; Каминский, Владимир Ильич; Лалаян, Михаил Владимирович; Гусарова, Мария Александровна
© 2022, Pleiades Publishing, Ltd.Abstract: Nowadays design of accelerating structures and traveling wave mode converter coupler cells in particular is almost excursively done using 2.5D and 3D codes based on finite elements method. These methods are extremely versatile and precise but require a lot of computational power. This paper describes mode converter coupler matching method using both finite element and equivalent circuit methods. Analytical calculation using equivalent circuit method provides an initial coupler parameter set for the finite element method calculations, accelerating further parameter conversion and reducing overall calculation time.
Только метаданные
Research Leadership of the "Priority 2030" Program: Success Factors Исследовательское лидерство программы "Приоритет-2030": факторы успеха
(2022) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системами
© 2022 Moscow Polytechnic University. All rights reserved.The article presents the results of comparative analysis of universities’ activities over the past five years, which won the special grant in the “Research Leadership” track of the “Priority 2030” program. The comparison is carried out between the following groups of universities: 1) all universities of the “Research Leadership” track, 2) the first, second and third groups, selected according to the results of the competition, and 3) group of Project 5-100 participants. The state strategic initiatives in the field of the higher education system over the past 15 years were considered to determine their impact on the development of the considered groups of universities; the indicators that make significant contribution to the results of educational, research, international and financial activities of universities were selected. The aggregation of indicators for university groups has been carried out using the Displaced Ideal method and the comparative analysis for 2016 – 2020. The significant indicators of scientific and research activities of analyzed groups of universities for 2018 – 2020 were considered. Based on the analysis, the most significant factors of success have been identified that ensured the victory of the considered universities in the Priority 2030 competition on the “Research Leadership” track.
Только метаданные
Analysis of Performance of University Groups Belonging to "Leadership in the Region and/or Industry" Track of "Priority 2030" Program [Анализ деятельности групп университетов трека "Территориальное и отраслевое лидерство" программы "Приоритет-2030"]
(2022) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системами
This article presents the comprehensive study results of the performance of universities which are the winners of the “Leadership in the region and/or industry” track of the “Priority 2030” program. The research included a comparison of the results of 3 groups of universities of this track, determined by the results of the competition. The participation of these groups of universities in the main strategic initiatives in the field of the higher education system development in 2006–2020 is considered; indicators for the main areas of university activities were selected and grouped, namely, educational, scientific and innovation, international and financial. The comparative analysis of aggregate indicators of recent years is based on the Displaced Ideal Method. This made it possible not only to determine the current positions of universities belonging to the examined track, but also to identify a number of problems in their activities that need to be solved in the coming years to strengthen their contribution to the socio-economic development of the regions. The results of the comprehensive analysis can be used not only by the current participants of the “Leadership in the region and/or industry” track of the “Priority 2030” program, but also by universities that only plan to take part in this program in the near future and the expert community engaged in research in the field of higher education development in Russia. © 2022 Moscow Polytechnic University. All rights reserved.
Открытый доступ
Модернизированная программа расчета импеданса связи элементов вакуумного тракта BEAMIMPEDANCE2DX
(2023) Каминский, В. И.; Мациевский, С. В.; Ращиков, В. И.; Ращиков, Владимир Иванович; Мациевский, Сергей Викторович; Каминский, Владимир Ильич
При разработке источников синхротронного излучения большое внимание уделяется исследованию нестабильностей пучка, ограничивающих его эмиттанс и время жизни. Одним из источников нестабильностей является возбуждение электромагнитных полей пучком в неоднородностях вакуумной камеры. Количественной характеристикой взаимодействия пучка с камерой является импеданс связи. В данной статье описано проведенное обновление программы BeamImpedance2D, ускоряющее расчет резистивного импеданса камеры за счет использования комплексного представления чисел и распределения расчетов между машинами вычислительного кластера. Приводится результат расчета импедансов реальной геометрии вакуумной камеры и ее аппроксимации.
Только метаданные
National research and federal universities contribution to the project 5-100
(2020) Berestov, A. V.; Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Sadchikov, S. M.; Берестов, Александр Васильевич; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Садчиков, Сергей Михайлович; Факультет бизнес-информатики и управления комплексными системами
© 2020 Moscow Polytechnic University. All rights reserved.This article presents research results of national research universities (NRU) and federal universities (FU) contribution to the Project of competitiveness enhancement of the leading Russian universities among global research and education centers (Project 5-100). The following indicators were analyzed: publications, indexed in Web of Science and Scopus databases, share of international students and faculty, share of young employees and staff with PhD, performance in international rankings, etc. The analysis was based on 41 quantitative and 11 qualitative indicators. In the analysis the following data sources were used: statistical forms 1-Monitoring, rankings agencies data, etc. It has been determined that the most influence on the Russian education competitiveness enhancement in the world belongs to the leading NRU - participants of Project 5-100. The article analyzes the contribution of federal universities in the implementation of the Project 5-100.
Только метаданные
Characteristics Analysis of the Electron Linear Accelerator with Dual Energy Switching and Magnetron-Based Power Supply
(2024) Gusarova, M.A.; Kaminskii, V.I.; Lalayan, M.V.; Matsievskiy, S.V.; Гусарова, Мария Александровна; Каминский, Владимир Ильич; Лалаян, Михаил Владимирович; Мациевский, Сергей Викторович
Только метаданные
Autogenerator with Ferrite Circulator Powered Hybrid Electron Accelerator Characteristics Modeling
(2021) Matsievskiy, S. V.; Kaminskii, V. I.; Мациевский, Сергей Викторович; Каминский, Владимир Ильич
© 2021, Pleiades Publishing, Ltd.Abstract: This paper considers the power supply scheme of a hybrid accelerator with standing and traveling wave sections, connected through a ferrite circulator from an autogenerator. Parameters of the accelerating sections and the cell parameter change sensitivity characteristics are determined for the accelerator with output beam energy 10 MeV and beam current 300 mA. Autogenerator stabilization issues are considered.
Только метаданные
Linaccalc: Software for accelerating structure characteristics simulation based on equivalent circuit method
(2021) Matsievskiy, S. V.; Kaminskii, V. I.; Gorchakov, A. A.; Lalayan, M. V.; Gusarova, M. A.; Sobenin, N. P.; Мациевский, Сергей Викторович; Каминский, Владимир Ильич; Лалаян, Михаил Владимирович; Гусарова, Мария Александровна
© 2021, Institute for Problems in Mechanical Engineering, Russian Academy of Sciences. All rights reserved.Nowadays design of accelerating structures is almost exclusively done using 2.5D and 3D codes based on finite elements method. Equivalent circuit method is fre-quently considered limited and inconvenient to use in real-life projects. However, low resource requirements make this method attractive for wide range sweep calcu-lations. This paper describes LinacCalc application — a user friendly accelerating structure simulation software based on the equivalent circuit method. It allows cal-culating characteristics of the accelerating sections with large number of cells in short time on machines with moderate amount of computational power. Core application modules are validated by comparing calculation results with ones obtained by a conventional finite ele-ment method based programs.
Только метаданные
Key performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data
(2022) Guseva, A. I.; Kalashnik, V. M.; Kaminskii, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системами
© 2021This article presents a performance dataset of 93 Russian universities, collected from 2015 to 2018 and evaluated according to 24 indicators. These data were gathered from materials, published in the process of monitoring the effectiveness of higher education institutions by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, and information from international ranking agencies QS, THE, ARWU. The dataset comprises the assessments of university performances according to the most important indicators used in socio-economic studies of comparative analysis of higher education system development levels in different countries: educational, scientific and research, international, financial and economic performance and international public recognition (university positions in leading international rankings). Evaluated universities are grouped pursuant to their missions: Federal Universities (FU), National Research Universities (NRU), Flagship Universities (FlU) and university-participants of the Russian Academic Excellence Project (Project 5-100). The indicators for the comparative analysis are aggregated by the type of activities and analyzed based on the calculation of median values and Displaced Ideal Method. The dataset can be helpful to researchers, university administration, specialists of higher education system, etc. Data processing can be executed using data mining methods, machine learning, and pattern analysis for the development of intellectual structures, applicable for university performance assessment in different educational systems. Presented data allows us to assert that the implementation of targeted support for leading Russian universities has a positive impact on the development of Russian higher education increasing its role on the international academic arena. Leading national research university-participants of the Project 5-100 had the greatest influence on increasing the competitiveness of Russian education in the world.