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Тестирование методов обмена данными между процессами на суперкомпьютере JETSON TX2 в сравнении с другими платформами
Т. 1.
ГНИИ "НацРазвитие", 2019.
Смирнов И. А., КРАВЧЕНКО В. О., Разумов П. В., Хилков Д. В., Черкесова Л. В.
this article will describe the various methods of exchanging data between
processes, with the subsequent conclusion about the speed of each. Tests were conducted on
different processors and different versions of operating systems. This study was conducted to find
out the fastest way to transfer data between processes on a Jetson TX2 supercomputer compared to
other platforms.
Velikaya E. V., Baranova T., Джахангирова В. С. et al., M.: Национальный книжный центр, 2026.
Учебное пособие предназначено для обучения академическим навыкам чтения, говорения и письма на основе статей из научно-популярных журналов по различным профилям: образование, программирование, лексика гейм-дизайна, продуктовые исследования, создание цифровых продуктов для различных сфер жизни, UX-исследования и юзабилити-тестирование, маркетинг игр и цифровых продуктов. Упражнения, разработанные для каждого урока, ориентированы на развитие профессионального вокабуляра, написание обобщений (summary) и ...
Added: July 3, 2026
СПб.: АО "ЦТСС", 2025.
В научном издании представлены труды Двенадцатой всероссийской научно-практической конференции по имитационному моделированию и его применению в науке и промышленности «Имитационное моделирование. Теория и практика» (ИММОД-2025) по следующим направлениям: - теоретические основы и методология имитационного и комплексного моделирования; - методы исследования и оценки качества моделей, валидация и верификации моделей; - методы и системы распределенного моделирования; - ...
Added: April 17, 2026
Smirnov A., AlterEconomics (ранее - Журнал экономической теории) 2024 Т. 21 № 2 С. 286–301
Interregional migration in Russia surpasses both intraregional and international migration in volume, playing a pivotal role in redistributing human capital across the country. To capture migration patterns between regions comprehensively, it is crucial to analyze all migration flows rather than just final migration indicators. This study integrates two research fields: network science, which examines various ...
Added: March 18, 2026
Джейранян А. Д., Lyadova L. N., В кн.: BIG DATA и анализ высокого уровня = BIG DATA and Advanced Analytics: сб. науч. ст. XI Междунар. науч.-практ. конф. (Республика Беларусь, Минск, 23–24 апреля 2025 года).: Мн.: БГУИР, 2025. С. 386–396.
An analysis of existing data visualization methods and tools was conducted, revealing their limitations associated with the need for advanced programming skills or insufficient configuration flexibility. A methodology for developing data visualization tools based on expert knowledge is proposed, enabling the effective creation of customizable visual representations. The methodology comprises three key approaches: (1) the ...
Added: February 21, 2026
Arinin O. V., Bakhmach D. M., Katsnelson A. et al., , in: 2025 Systems of Signals Generating and Processing in the Field of on Board Communications.: IEEE, 2025. P. 1–5.
This research discusses the method of dataset collection automatization for microwave filter synthesis by integrating machine learning techniques, thus reducing development time. Utilizing the 3D electromagnetic analysis software package, the study involves simulation and collecting geometric parameters and amplitude-frequency characteristics from three variants of passband highly selective microstrip tworesonator combined filters with stepped impedance resonators. ...
Added: December 6, 2025
Getman A., Adamovich K., Guliaeva A. et al., Вопросы образования 2026 № 2 С. 99–124
The importance of student engagement in the learning process is widely recognized during the last years. Engagement has shown positive relationships with various crucial aspects of learning both in traditional and online learning environments. However, there exists a research gap pertaining to engagement in non-formal learning contexts.
This paper investigates the students' engagement in STEM learning ...
Added: November 20, 2025
Medvedev M., Journal of Chemical Information and Modeling 2025 Vol. 65 No. 12
Added: November 12, 2025
Integrating an Ontology-Driven Approach to Data Visualization and AI Based Visualization with Plotly
A.D. Dzheiranian, L.N. Lyadova, Proceedings of the Institute for System Programming of the RAS 2025 Vol. 37 No. 4 P. 191–206
This study introduces an AI-driven assistant prototype that automates the generation of data visualization scripts from natural language queries, eliminating the need for users to have programming skills. The article examines research aimed at developing tools for effective data visualization, compares data visualization systems based on the use of artificial intelligence, and shows the limitations ...
Added: September 25, 2025
Viazmin A., Чапанова М. Р., Морозов М. С. et al., Нервно-мышечные болезни 2025 Т. 15 № 2 С. 28–36
Objective. To present Kinematic 4, a software tool designed for automated analysis of reach-to-grasp and object transport movements using data obtained from motion capture systems.
Materials and Methods. The software was developed in Python and implements algorithms for automatic detection of key temporal events in motor actions. Initially validated in MATLAB, the algorithmic framework was adapted ...
Added: September 2, 2025
Molostvov V., Advances in Systems Science and Applications 2025 Vol. 25 No. 1 P. 1–11
A two-criteria vector optimization problem – finding Pareto-optimal solutions in linear systems with interval uncertainty of coefficients – is considered. The problem of resource allocation to multiple activities is investigated. The uncertainty-adjusted income is a bilinear function, linear by strategy under fixed uncertainty and by uncertain parameters under fixed strategy. Guaranteed income is a linear ...
Added: August 26, 2025
Shestakova L. V., Семакин И. Г., Залогова Л. А. et al., М.: Просвещение, 2024.
The textbook is intended for studying computer science at the basic level in the 9th grade of general education organizations. The textbook contains the theoretical course material, questions and assignments for consolidation of knowledge. At the end of each chapter, the system of basic concepts of this chapter is presented schematically. The textbook is part ...
Added: July 7, 2025
Morozov V., Башара В. О., Емельяненко М. В., В кн.: Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ’2025, г. Москва, 8–10 апреля 2025 г. Короткие статьи и описания плакатов.: Челябинск: Издательский центр ЮУрГУ, 2025. С. 193–210.
Error correction in the secret key is a mandatory step in quantum key distribution (QKD) protocols. Usually, modern error-correcting codes are used for its implementation. Imperfections of the hardware used in QKD systems lead to bit flipping errors in the channel. Moreover, such systems are characterized by an asymmetric distribution of such errors. Taking into ...
Added: June 3, 2025
Смит С., М.: ДМК Пресс, 2025.
Данная книга продолжает серию «Книжная полка Истового инженера»,
которая издается при поддержке компании YADRO. Издание подготовлено к
публикации Московским институтом электроники и математики им. А. Н. Тихонова НИУ ВШЭ совместно с издательством «ДМК Пресс».
Перед вами переведенная и адаптированная для русскоязычного читателя книга С. Смита «RISC-V Assembly Language Programming», вышедшая
в издательстве Apress в серии Maker Innovations в 2024 ...
Added: May 25, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Mylnikov L., Saltykova A., Научно-техническая информация. Серия 2: Информационные процессы и системы 2024 № 10 С. 15–21
Описан способ статистического исследования производительности информационной инфраструктуры организации на основе данных имитационного моделирования процессов в нотации EPM (Event-Driven Process Methodology). Введены понятия устойчивости и живучести информационной инфраструктуры. Приведен пример определения предельной производительности, позволяющей исследуемой информационной инфраструктуре находиться в устойчивом состоянии. ...
Added: December 18, 2024