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Применение мобильных технологий для эффективного анализа функционального состояния спортсмена
The article focuses on the approaches for using mobile technologies for the effective analysis of the functional state of an athlete. Also different methods for evaluation of the functional state are given.
Priority areas:
IT and mathematics
Language:
Russian
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Oshmankevich K., Холодная Е. В., Магдилова Л. В. et al., В кн.: Правовое регулирование бережного и устойчивого оборота данных.: М.: ИНФРА-М, 2025. Гл. 3.5 С. 137–201.
Монография посвящена актуальным проблемам оборота данных в цифровую эпоху. Исследуется концепия "бережного" оборота данных для защиты прав человека. Анализируется влияние технологий на права, принципы "бережного" оборота, регулирование больших данных, соотношение данных и интеллектуальной слбственности, безопасность при развитии искусственного интеллекта. Особое внимание уделено персональным данным в трудовых отношениях и в здравоохранении.
Предназначена для научного сообщества, практикущих юристов, ...
Added: February 13, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Gadzhieva A., Trubina V., Соловьева-Опошнянская А. Ю., Право. Журнал Высшей школы экономики 2025 № 4 С. 267–291
На протяжении последних десятилетий сфера здравоохранения переживает качественную трансформацию. Цифровизация здравоохранения – один из важнейших глобальных трендов развития, направленный на обеспечение большей доступности медицины для населения, повышение скорости и качества оказания медицинской помощи. В сфере здравоохранения активно используются передовые цифровые решения: телемедицинские услуги, мобильные приложения, технологии обработки больших объемов данных, машинного обучения, системы искусственного интеллекта. ...
Added: December 19, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Сафин Л. К., Александров Я. А., Трошина К. Н. et al., Вопросы кибербезопасности 2015 № 4 С. 28–37
Security analysis is the one of definitely expedient milestones in the application lifecycle. The process of security analysis should be applied to every program component in the information system, which needs to access sensitive data, particularly to mobile applications. This paper presents a practical step-by-step approach to evaluation of mobile application security and systematization of ...
Added: January 10, 2024
L.А. Rezunik, A.I. Perevoznikova, D.V. Eremina et al., Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 171–186
Enterprises often provide their services via a family of applications based on various platforms.
Applications in such a family can behave differently. Their development processes can differ as well. Moreover, modern development processes are often complex and sometimes vague. This can lead to bugs, defects, and unwanted discrepancies in applications. In this paper, we show that ...
Added: October 30, 2023
Artyushina E., Korenkova M., Khusyainov T., В кн.: Современные трансформации рынка труда.: Н. Новгород: Издательство НИСОЦ, 2022. Гл. 1 С. 6–17.
Трансформация современного общества, происходящие в нем изменения неразрывно связаны с цифровыми технологиями. Цифровая революция принесла человечеству нейросети, облачные вычисления, блокчейн и прочее, заметно повлияв на общество и экономику, жизнь каждого человека. Стремительный рост цифровых технологий находит отражение в масштабном развитии цифрового сектора экономики, наблюдается революционное изменение бизнес-моделей на основе использования цифровых платформ. В России это ...
Added: June 27, 2022
Павлова Н. С., Kurdin A., Поляков Д. А., Вестник Московского университета. Серия 6: Экономика 2021 № 1 С. 103–127
The article is based on the research in mobile applications markets. The distribution of market power in these markets depends on the ability of a digital ecosystem’s owner to control the handling of mobile applications inside the ecosystem. The degree of this control is determined by the substitutability of different application stores as necessary facilities ...
Added: July 2, 2021
Gordin V. E., Sizova I., Обсерватория культуры 2021 Т. 18 № 1 С. 80–92
В данной статье авторы рассматривают различные образовательные онлайн-продукты, разработанные музеями как самостоятельно, так и в сотрудничестве с образовательными учреждениями. Проведенный анализ позволил выявить пул онлайн-продуктов музеев, включающий МООК (массовые открытые онлайн-курсы), СПОК (специализированные профессиональные онлайн-курсы), обучающие игры, мобильные приложения и подкасты. Определены преимущества и особенности каждого из видов музейных онлайн-продуктов, их перспективы включения в образовательный ...
Added: October 30, 2020
Khoreva L. V., Polomarchuk A., В кн.: Материалы XIV международной научно-практической конференции «Актуальные проблемы развития индустрии гостеприимства».: [б.и.], 2018. С. 17–20.
В работе рассматриваются возможности широкого внедрение новых средств и технологий в туристских дестинациях, а именно, использование мобильных туристских приложений для повышения качества и доступности туристских услуг ...
Added: October 30, 2020
Khoreva L. V., Polomarchuk A., В кн.: Сервис и туризм в условиях цифровизации российской экономики.: СПб.: Санкт-Петербургский государственный экономический университет, 2018. С. 98–110.
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Added: October 30, 2020
Aleskerov F. T., Zhulin A. B., Morgunov B., Информационные технологии и вычислительные системы 2020 № 1 С. 44–52
We give a description of Automated information system of the management of the municipal solid waste collection, its basic models and applications. We provide also a short survey of publications on the problem ...
Added: October 6, 2020
Широков А. А., Зернов Д. В., Социология науки и технологий 2015 Т. 6 № 3 С. 79–90
In article on materials of questionnaire and interview are investigated of comfortableness of public transport for residents of Nizhny Novgorod and how new technologies are built in transport system of the city. The conclusion is drawn that now wireless technologies inefficiently work in transport infrastructure. Though time spent in public transport becomes more comfortable and ...
Added: December 3, 2018
Мокрецов Р. М., Заславский М. М., Научно-технический вестник информационных технологий, механики и оптики 2018 Т. 18 № 3 С. 511–520
Subject of Research. The paper presents the review of existing platforms for development of mobile applications with outdoor-quests. A method for automation design and planning of outdoor-quests is proposed. The principles for development automation of mobile applications containing such quests are described. Method. The novelty of the proposed approach lies in procedural quest generation based ...
Added: November 9, 2018
Savchenko A., Kharchevnikova Angelina S., , in: Computational Aspects and Applications in Large-Scale Networks. Springer Proceedings in Mathematics & StatisticsVol. 247.: Springer, 2018. P. 37–46.
The paper reviews the problem of age and gender recognition methods for video data using modern deep convolutional neural networks. We present the comparative analysis of classifier fusion algorithms to aggregate decisions for individual frames. We implemented the video-based recognition system with several aggregation methods to improve the age and gender identification accuracy. The experimental ...
Added: September 2, 2018