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Data transfer from satellite to ground station emulator
Journal of Physics: Conference Series. 2021. Vol. 2134. Article 012026.
"Data transfer from satellite to ground station emulator" application has been developed for modelling data transfer between a small spacecraft at low-earth orbit and a control center on Earth. The application takes into account multiple parameters allowing to replace a number of experiments. Additionally, the SGP4 model and models such of parameters such as bit error rate and rain rate attenuation are studied and used in development of the application. Finally, the use cases for the application in education and introduction of school and university students to space-themed projects are considered.
Qian X., Guan X., Zhang B. et al., Journal of Global Optimization 2026
Inverse quickest path problem on networks ...
Added: September 27, 2026
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
Kraevskiy A., Sokolovskiy E., Prokhorov A., Emerging Markets Review 2026 No. 74 P. 1–19
Financial markets of emerging economies are vulnerable to extreme and cascading information spillovers, surges, sudden stops and reversals. With this in mind, we develop a new online early warning system (EWS) to detect what is referred to as ‘concept drift’ in machine learning, as a ‘regime shift’ in economics and as a ‘change-point’ in statistics. ...
Added: September 25, 2026
Дубич Е. В., Schagin D., Славянский форум 2026 № 2 (52) С. 560–565
The paper compares HTTP/2 and HTTP/3 for static resource transfer under software-simulated network degradation. The experiment shows that HTTP/3 is not universally faster, but it is more stable as latency and packet loss increase. ...
Added: September 25, 2026
Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
Added: September 24, 2026
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
Added: September 24, 2026
I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
Added: September 24, 2026
Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
Added: September 24, 2026
Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22
This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...
Added: September 23, 2026
Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17
This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...
Added: September 23, 2026
Andrabi U., Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375
The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...
Added: September 23, 2026
Paklina S., Parshakov P., Elena Rapoport, Scientometrics 2026 P. 1–26
Generative artificial intelligence has become a routine part of academic writing. While much of the debate has focused on questions of integrity and authorship, less attention has been paid to how AI-assisted writing may affect research evaluation itself. This paper asks a straightforward but important question: does the use of LLMs in academic writing change ...
Added: September 23, 2026
Kertesz-Farkas A., Acquaye F. L., Journal of Proteome Research 2026 Vol. 25 P. 3764–3768
Ultimately, most tandem mass spectrometry (MS/MS) proteomics experiments aim to not just detect but also quantify the proteins in a given complex sample. Here, we describe an extension to the Crux MS/MS analysis toolkit to enable label-free quantification of peptides. We demonstrate that Crux’s new quantification command, which is modeled after the algorithms implemented in ...
Added: September 23, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Tolstikov S., Mullahmetov I., Pozhidaev E. et al., Технологии электромагнитной совместимости 2024 № 1(88) С. 62–71
The study involves the computational modeling of electrostatic discharge initiation in polymer materials utilized in space environment under low-temperature conditions. To address this challenge, experimental data on the radiation-induced electrical conductivity of polyimide and polyethylene terephthalate at reduced temperatures, have been employed. The simulation encompasses the evaluation of electric field intensity within polyimide and polyethylene ...
Added: June 6, 2024
Gazizov R., Gazizov R., Gazizov T., , in: 2020 Dynamics of Systems, Mechanisms and Machines (Dynamics).: Omsk: IEEE, 2020. P. 1–4.
The paper presents the circuit diagram and the parameters of the cross-section for the model of the power supply (PS) bus of a spacecraft. The optimization of the duration of an ultrashort pulse (USP) exiting the PS bus was made by genetic algorithm(GA) for minimizing the voltage maximum along the PS bus. The GA optimization ...
Added: December 16, 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
Aachen: CEUR Workshop Proceedings, 2022.
Added: February 6, 2022
Abrameshin D., Kosinov A., Bubnova M. et al., Journal of Physics: Conference Series 2021 No. 2134 P. 012014–012014
“Virtual space virtual satellite” (VSVS) software solution has been developed for computing the geomagnetic field and studying the results of modelling small spacecraft flight at low orbit with different parameters. The application will allow to replace a number of experiments. In addition, SGP4 and IGRF models are studied due to their role in development of ...
Added: December 22, 2021
Vostrikov A. V., Prokofyeva E. N., Journal of Space Weather and Space Climate 2022 Vol. 12 Article 29
High-energy charged plasma particles pose a danger to space technology. The accumulation of charged particles on the body of the spacecraft generates discharges. Electrostatic discharge is a source of powerful electromagnetic interference that adversely affects the functioning of individual parts and entire systems. According to statistics, in about 30% of cases, the loss of satellites ...
Added: November 30, 2021
Borisov N., Kravchenko N., Presnyakov S. et al., , in: 2019 8th Asia-Pacific Conference on Antennas and Propagation (APCAP).: IEEE, 2019. P. 309–310.
A formal method is proposed for constructing a macromodel of a linear equivalent electrical circuit of a communication satellite antenna. The macromodel can contain as many phase variables as the antenna designer wants. The macromodel maintains a simple dependence of its output characteristics on the design-technological variable parameters of the antenna model. The use of ...
Added: October 23, 2021
Слепцов Э. С., Tuturov A. A., Полет. Общероссийский научно-технический журнал 2020 № 11 С. 60–65
The article analyzes the possibility of stating by methods of system analysis the task of constructing and holding the orbital constellation of remote sensing spacecraft. Criteria are introduced that make up the generalized target functional of the orbital grouping, which makes it possible to separate the target task, the ballistic construction problem, and the stabilization ...
Added: September 28, 2021