Многофункциональные модели систем управления

Балакина Е. П.; Баранов Л. А.; Ерофеев Е. В.; В. Г. Сидоренко

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Многофункциональные модели систем управления

Известия высших учебных заведений. Проблемы полиграфии и издательского дела. 2012. № 2. С. 79–82.

Балакина Е. П., Баранов Л. А., Ерофеев Е. В., Sidorenko V.

In article construction principles, the basic advantages and properties of multifunctionalmodels of transport systems are described. Efficiency of use of similar models as the universal tool for carrying out of various researches is shown.

Research target: Construction Mechanics and Mechanical Engineering Effective Natural Resource Management Computer Science

Priority areas: business informatics

Language: Russian

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Keywords: интеллектуальные системы управления автоматизированные системы управления транспортом модель системы управления

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

When does high-tech research investment enable green energy transition?

Bergougui B., Ghosh S., Doğan B. et al., Energy Conversion and Management: X 2026 Vol. 30 P. 1–18

The allocation of public budgets to research and development plays a vital role in advancing climate welfare and facilitating the energy transition. Energy transition focuses on sustainable development goal −7 (SDG-7). By discussing the importance of energy transition and research and development, the current study elaborates on the pathway to resilient energy. This study investigates ...

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

Navigating Chinese green deals through green investment, green technology, and green energy development: a race for sustainability or greenwashing?

Doğan B., Hossain M. R., Khalfaoui R. et al., Financial Innovation 2026 Vol. 12 P. 1–29

Drawing from the recent COP28, which espouses a boom in clean energy transition through technological forwardness, and the framework of the SDG, we address critical questions related to green investment, energy investment, and environmental sustainability. We scrutinize whether green technology genuinely leads to green investment and energy investment in China and whether the causal nexus ...

Added: September 23, 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

How does smart cities and digital economy facilitate energy security and energy transition? Empirical evidence from China

Xu Y., Tiwari S., Kazemzadeh E. et al., Energy and Buildings 2026 Vol. 351 P. 1–23

The present study investigates impacts of smart cities (SC), urbanization level (URB), innovation level (IL), Green total factor productivity (GTFP), level of financial development (FD) and digital economy (DE) on energy security (ES) and energy transition (ET) in China. Results of quantile on quantile regression (QQR) revealed that smart cities, urbanization level, innovation level, Green ...

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

Streptococci Recognition in Microscope Images Using Taxonomy-based Visual Features

Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434

This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...

Added: September 21, 2026

Specialized Image Descriptors Adaptation for Polyp Recognition over Endoscopic Images

Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060

This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...

Added: September 21, 2026

Lightweight Image Preprocessing Model for Improving Microorganism Detection in Microscopic Scenes

Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052

This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...

Added: September 21, 2026

Оценка моделей LLM по степени готовности решать задачи управления в области ESG

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

Causal Estimands for Policy Evaluation and Beyond

Sokolov B., / Series OSF "SocArXiv". 2025.

This paper reviews various estimands used in modern scientific and applied research to operationalize causal inquiries within the Rubin Causal Model framework. I first introduce the most widely utilized average treatment effects, such as ATE, ATT, and ATC. I then describe their popular extensions, including those targeting local and conditional treatment effects; causal interactions and mediation; effects ...

Added: May 6, 2025

Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency

Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.

The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...

Added: February 17, 2025

Versions of least-squares k-means algorithm for interval data

Mirkin B., Parinov A., Halynchyk M. et al., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2024.

Recently, k-means clustering has been extended to the so-called interval data. In contrast to conventional data case, the interval data feature values are intervals rather than single reals. This paper further explores the least-squares criterion for k-means clustering to tackle the issue of initialization, that is, finding a proper set of initial cluster centers at ...

Added: November 26, 2024

Fairness of Machine Learning Algorithms in Demography

Emmanuel I. C., Mitrofanova E., / Series 4064475 "ArXiv Preprint". 2022.

The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...

Added: May 31, 2022

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Pilnov G., Natalenko A., Лукша О. П., Инновации 2017 № 12

In the context of the article the open innovation accelerator (OIA) is as an organization that helps its clients profit from open innovation by connecting external partners (or solution providers) to all stages of an innovative project. In the article we consider: • tools that help companies manage targeted, inbound and outbound knowledge flows and the place of OIA among ...

Added: September 17, 2021