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Метод энергетической балансировки беспроводной стационарной сенсорной сети с автономными источниками питания
Бизнес-информатика. 2012. № 1. С. 70–75.
In this work it was explained why the energy balancing in a static wireless sensor networks with autonomous energy sources is actual nowadays. We presented mathematical model of static wireless sensor network which considers external influence. We presented method of energy balancing in a static wireless sensor networks with autonomous energy sources and experimental results which show increasing work efficiency of static WSN with autonomous energy sources by increasing nodes lifetime and decreasing nodes energy consumption.
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
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 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
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
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
Чернышов Д. П., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 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
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.
Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...
Added: September 18, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 20584.
We give a new proof of the following statement: the Catalan number C_n is divisible
by n+2, if n is odd and n<> 3k+1. ...
Added: September 9, 2025
Sochi: IEEE, 2025.
International Russian Smart Industry Conference is devoted to discussion of the latest achievements in the field of automation and control systems. It will be held in Sochi, the Russian Federation, in March, 2026. The conference is organized in order to exchange experiences, to promote the discussion and presentation of research papers, summarizing research in universities, ...
Added: May 10, 2025
Борисовская А. В., Tyurlikov A., Вопросы радиоэлектроники. Серия: Техника телевидения 2022 № 3 С. 93–100
Environmental monitoring systems using LPWAN networks in the mode of random access to a radio channel are considered. Methodology for determining the number of sensors in such systems is proposed. ...
Added: September 27, 2023
Борисовская А. В., Успехи современной радиоэлектроники 2022 Т. 76 № 12 С. 82–89
Most modern monitoring systems, such as environmental monitoring systems, use LoRaWAN (Long Range Wide Area Network) technology. This technology allows to transfer small amounts of data over long distances. In addition, it allows to reduce the number of collisions in such systems due to a wide range of data rates and due to different frequency ...
Added: September 27, 2023
Борисовская А. В., T-Comm: Телекоммуникации и транспорт 2023 Т. 17 № 7 С. 21–28
One of the important scientific directions in the research of the Internet of things is the analysis of monitoring systems for random events with correlated sources based on random multiple access. Taking into account the correlation of data from nearby sensors increases the energy efficiency of the system and ensures the stability of its operation. ...
Added: September 27, 2023
IEEE, 2022.
Continuing with the outstanding success of IEEE IEMCON, IEEE CCWC, IEEE UEMCON, IEMANTENNA we are proud to present IEMTRONICS 2022 (International IOT, Electronics and Mechatronics Conference) which will be held during 1st- 4th June, 2022 at Toronto, Canada, in online mode. Keeping in mind the pandemic situation prevalent globally due to Covid 19 and following ...
Added: July 20, 2022
Bankov D., Levchenko P. A., Lyakhov A. et al., Journal of Communications Technology and Electronics 2022 Vol. 67 No. 6 P. 747–754
The rapid growth of the Internet of Things gives rise to numerous Low Power Wide Area Network technologies, one of which, NB-Fi technology, has been approved as a Preliminary National Standard of the Russian Federation and is planned for wide application. However, the scientific literature contains very few studies of NB-Fi, and the investigation of ...
Added: June 27, 2022
Novikov K., Polesskiy S., , in: 2021 International Seminar on Electron Devices Design and Production (SED).: IEEE, 2021. P. 1–4.
Added: June 8, 2022
Bankov D., Левченко П. А., Lyakhov A. et al., Информационные процессы 2021 Т. 21 № 4 С. 231–243
The rapid growth of the Internet of Things gives rise to numerous Low Power Wide Area Network
technologies, one of which — the NB-Fi technology — has been approved as a Preliminary National Standard of the Russian Federation and is planned for wide application. However, the scientific literature contains very few studies of NB-Fi, and the ...
Added: December 20, 2021
Furmanov K.K., Nikolsky I. M., , in: Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2020). Proceedings of the XXIII International Conference.: M.: ISC RAS, 2020. Ch. 50 P. 396–403.
Unrealibility of radio communication is an important issue for wireless sensor networks. Message retransmission is a common remedy for data loss in such networks. Present paper is devoted to research of number of retransmissions necessary for succesful message deliver. We introduce a simple method for determinig this number based on statistical analysis of data loss.Our ...
Added: October 31, 2020