Архитектура встраиваемых систем: Разработка защищённых и подключённых устройств с примерами кода на С

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

An early warning system for emerging markets

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

Экспериментальное сравнение HTTP/2 и HTTP/3 в условиях программно моделируемой сетевой деградации

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

Synthesis of Acyclic Models for Processes Without Repeating Events

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

Анализ протокола выработки общего ключа для управления микросхемой интеллектуальной карты

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

Discovering object-centric Petri nets with parametric arcs

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

Hybrid Graph Retrieval-Augmented Language Agents for Collaborative Recommendation

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

Risks and the image of the future in the study of AI technologies prospects

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

Choosing Between AI Responses: How Valence, Arousal, and Dominance Shape User Preference

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

A Two-Stage Deep Reinforcement Learning Framework for Radio Resource Management and Network Slicing in 5G Heterogeneous Networks

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

LLM-assisted writing and citation advantage: evidence from scientific publications before and after ChatGPT release

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

Label-Free Quantification in the Crux Toolkit

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

Risk Assessment Models for Heated Tobacco Products

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

Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera

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

A Model Based on Universal Filters for Image Color Correction

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

Основные направления совершенствования публично-правового регулирования отношений по реализации и защите прав и свобод личности в условиях развития современных информационных технологий

Дейнеко А. Г., Право и государство: теория и практика 2025 № 9 С. 156–160

The research is devoted to the implementation and protection of fundamental human rights and freedoms in the context of the development of the entire complex of modern information technologies. The author's concept of improving the mechanisms for ensuring the implementation and protection of the main categories of individual rights and freedoms has been developed, and the basic ...

Added: September 4, 2026

Aerokinesis: An IoT-Based Vision-Driven Gesture Control System for Quadcopter Navigation Using Deep Learning and ROS2

Kondratev S., Yulia Dyrchenkova, Georgiy Nikitin et al., Technologies 2026 Vol. 14 No. 1 Article 69

This paper presents Aerokinesis, an IoT-based software–hardware system for intuitive gesture-driven control of quadcopter unmanned aerial vehicles (UAVs), developed within the Robot Operating System 2 (ROS2) framework. The proposed system addresses the challenge of providing an accessible human–drone interaction interface for operators in scenarios where traditional remote controllers are impractical or unavailable. The architecture comprises ...

Added: May 19, 2026

MQTT брокер на базе одноплатного компьютера Raspberry Pi

Сомов А. С., Lyzhin I., Сколковский институт науки и технологий, 2020.

Учебно-методическое пособие предназначено для всех, кто интересуется интернетом вещей (IoT), в первую очередь - преподавателей и обучающихся средних общеобразовательных школ. В пособии кратко описывается протокол MQTT, приводятся примеры его использования в домашней автоматизации, даются инструкции по установке операционной системы Raspbian, работе с одноплатным компьютером Raspberry Pi, установке и настройке MQTT-брокера Mosquitto, а так же MQTT клиентов для операционных систем ...

Added: May 10, 2026

Сравнение временных характеристик операционных систем реального времени на микроконтроллерах с архитектурами ядер ARM И RISC-V

Makhmudov T. N., Дубленский Д. С., Канунников Е. И., Машиностроение: сетевой электронный научный журнал 2025 Т. 12 № 4 С. 15–21

Операционные системы реального времени (ОСРВ - RTOS) занимают важное место в современных технологических процессах, становясь неотъемлемой частью множества отраслей и производственных циклов. Эти системы обладают уникальными характеристиками, позволяющими эффективно управлять ресурсами и обеспечивать высокую скорость отклика на внешние события. Такая особенность базируется на способности ОСРВ перераспределять ресурсы между различными задачами с разным приоритетом, гарантируя выполнение ...

Added: May 8, 2026

Разработка микросервиса ADP для идентификации источников выбросов на основе машинного обучения с подкреплением

Kychkin A., Chernitsin I., Прикладная информатика 2026 № 1(121) С. 40–58

The results of the development of a software microservice embedded in atmospheric air quality monitoring systems to support the identification of industrial pollution sources are presented. The emission and subsequent spread of harmful substances in the lower layers of the atmosphere is dynamic and characterized by high uncertainty due to the specific features of technological ...

Added: April 23, 2026

Проектирование сети Интернета вещей на основе многокритериальной оптимизации и информационного моделирования здания

Ivanov I., Ebraheem A., Информационные процессы 2025 Т. 25 № 4 С. 787–798

The article proposes a method for planning the placement of access points and gateways inside buildings for constructing Internet of Things networks. The basis of the method is the use of information from a building information model, which makes it possible to easily take into account both the geometry and the physical and technical characteristics ...

Added: April 19, 2026

ОБЗОР ТЕХНОЛОГИЙ СИСТЕМ ПОЗИЦИОНИРОВАНИЯ ВНУТРИ ПОМЕЩЕНИЙ

Lyaskovsky A., Тарасов В. В., В кн.: Сборник трудов XXII Международной научно-практической конференции. Посвящается 80-летию президента РТУ МИРЭА, академика РАН, доктора физико-математических наук, профессора А.С. Сигова.: Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2025. С. 194–198.

This article discusses the main categories of technologies used to create indoor positioning systems. Based on a comparative analysis, it describes the key features of each of the technologies considered. ...

Added: February 5, 2026

Разработка платформы интернета вещей для использования в образовательном процессе

Lyzhin I., Еременко Е. А., Вопросы педагогики 2025 Т. 2 № 1 С. 44–51

В данной статье рассматривается вопрос, связанный с техническим обеспечением образовательного процесса при обучении технологиям интернета вещей. Приводится краткий обзор существующих платформ, предлагается новое решение с открытым исходным кодом. Описывается архитектура облачной платформы интернета вещей для использования в образовательном процессе. Приводятся примеры возможного использования разработанной платформы при обучении учащихся различного уровня подготовки. ...

Added: December 20, 2025