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Type-2 Fuzzy Rule-Based Model of Urban Metro Positioning Service
Proceedings of the Institute for System Programming of the RAS. 2017. Vol. 29. No. 4. P. 87–106.
Gimaletdinova A., Degtiarev K.Y.
In the last few years there has been a growing interest in route building oriented mobile applications with the following features of navigation and sending timely notifications about arrival. Despite the large body of existing knowledge on navigational services, there has been an important issue relative to positioning accuracy. The paper discusses a possible solution to comparison problem, which is linked to the determination of the closeness to destination metro station through finding a difference between user’s current coordinates and fixed-point coordinates. With this end in view, fuzzy logic approach is used to develop Routes Recommender System (RRS) that utilizes linguistic variables to express the vague and uncertain term ‘closeness to…’. The paper provides detailed explanation of each variable considered in the fuzzy inference system (FIS), set of fuzzy rules in line with graphical representation of system’s output. Based on Mamdani model, we propose a set of test cases to check maintainability of the model and provide a description about received results. At a later time, an Android-based mobile application aimed at public transport route building will be developed whose notification system will be based on our model`s implementation presented. It should be emphasized that the paper examines potentials of the modeling approach based on interval type-2 fuzzy sets (IT2FS) that attract much attention these days in various research studies and conventional Mamdani fuzzy inference system (MFIS) as applied to real and rather topical problem. The significance of developing such models may be of a high demand for appropriate representation of factors that are inherently vague and uncertain. Hence, this study may also contribute to future research on similar topics.
Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.
The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
Added: August 21, 2026
Фирсанова В. И., ACM, 2026.
The inclusion of autistic people can be augmented by a mobile app that provides information without a human mediator making information perception more liberating for people in the spectrum. This paper is an overview of a doctoral work dedicated to the development of a web-based mobile tool for supporting the inclusion of people on the ...
Added: August 4, 2026
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
Grebnev L., Вопросы философии 2025 № 6 С. 105–116
The relevance of the topic is related to the fact that after the complete abandonment of real values in the 1970s of the main means of international settlements - the US dollar – there is a growing feeling that money increasingly represents an illusory reality. The article begins with an analysis of the illusions associated ...
Added: July 6, 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
Гущина В. А., / Series chemrxiv-2023-vpzhz-v2 "ChemRxiv". 2023.
All-inorganic perovskite CsPbBr3 and Cs4PbBr6 nanoparticles are being intensively studied due to their unique properties and wide range of applications; however, however, the nature of their optical properties is not yet fully understood due to the difficulty of synthesis of singlephase nanoparticles. In this article we describe the features of the synthesis of single-phase particles ...
Added: May 14, 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
Bolgov R., Olga Filatova, Volkovskii D., , in: 26th Annual International Conference on Digital Government Research (dg.o 2025). Volume 26Vol. 26.: Delft: [б.и.], 2025.
The paper presents the results of using automated tools to study the dissemination of information in media, social networks and instant messengers, as well as the comments to mobile applications, allowing to search for information by keywords. The cases analysed are the Unified Ecosystem of Urban Services "Digital Petersburg" and its flagship application "I Live ...
Added: January 25, 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
Maksimenko A., Круз-Карденес Х., Забелина Е. В. et al., Высшее образование в России 2026 Т. 35 № 6 С. 102–126
Today, there is a growing anxiety about artificial intelligence in the educational space, which greatly affects the willingness to make technological decisions and plan for one’s professional future. In empirical studies, AI anxiety is defined as a complex phenomenon including a range of negative emotional responses that shapes in people due to development and potential ...
Added: December 22, 2025
Meissner D., Salati Marcondes de Moraes G. H., Brandão Fischer B. et al., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2025. No. WP BRP /STI/2025.
Innovation has long been at the center of debates in economics, management, and organizational studies. However, innovation is never free of uncertainty and risk. Every act of innovation implies a departure from established paths and a willingness to embrace the unknown. From the beginning it's never clear if there is an audience which appreciates the ...
Added: November 28, 2025
Andrey Timashkov, Sarah Anderson, Oksana Zinchenko, Frontiers in Neuroscience 2025 Vol. 19 Article 1662272
The analysis revealed nine distinct activation clusters, revealing a comprehensive neural network involved in uncertainty processing. Key findings demonstrated predominant activations in the anterior insula (up to 63.7% representation), inferior frontal gyrus (up to 40.7%), and inferior parietal lobule (up to 78.1%). We found a functional specialization between emotional-motivational processes (clusters 1–5) and cognitive processes ...
Added: November 26, 2025
Morozova A., Monahhova E., Gorodnicheva Y. et al., , in: 2025 Seventh International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2025. P. 78–82.
Added: October 8, 2025
Gorodnicheva Y., Bekim A., Klucharev V. et al., , in: 2025 Seventh International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2025. P. 20–24.
This study explores the effects of manipulative content on uncertainty reduction, focusing on individual differences in Need for Cognition (NFC). Behavioral (reading cessation) and physiological (eye-tracking) measures were used to assess responses to cognitive, affective, and neutral stimuli. Results indicate that cognitive manipulations increase reading time; and cognitive and affective manipulations elicit more fixations and ...
Added: October 8, 2025
Grebnev L., Вопросы философии 2025 № 6 С. 105–116
The relevance of the topic is related to the fact that after the complete abandonment of real values in the 1970s of the main means of international settlements - the US dollar – there is a growing feeling that money increasingly represents an illusory reality. The article begins with an analysis of the illusions associated ...
Added: June 26, 2025
Khezri E., Tatarko A., Psychology. Journal of the Higher School of Economics 2025 Vol. 22 No. 1 P. 106–129
Previous research showed the association of socioeconomic status (SES) with both interdependence and independence in collectivistic cultures and the socioeconomic disadvantages of mismatch between the individual and the overarching culture. This study investigated whether interdependent-independent self-construals are linked to SES in Iran, if the culture-incongruent self is related to status-based identity uncertainty (SBIU), and if ...
Added: March 18, 2025
Lola I. S., Asoskov D., Russian Journal of Economics 2024 No. 10(4) P. 351–364
This paper investigates the utility of business uncertainty indicators as predictive tools for forecasting economic activity in the context of Russia. In an era characterized by global economic volatility and geopolitical shifts, understanding the dynamics of economic uncertainty and its impact on overall economic performance is of paramount importance. The study utilizes a comprehensive dataset ...
Added: December 10, 2024
Veronica M. Sytnik, Proskuryakova L. N., European Journal of Futures Research 2024 Vol. 12 Article 21
This study focuses on the integration of methods from different theories and research
concepts into futures studies in order to better understand the obscure future through
the identification of unpredictable and hard-to-predict rare events and factors.
Particular emphasis in this study is placed on systems theory, cybernetics, synergetics,
theory of chaos, bifurcation theory, catastrophe theory, thermodynamics, and the
theory of ...
Added: November 30, 2024
Savchenko A., IEEE Access 2024 Vol. 12 P. 25106–25118
Various mobile and edge devices have significantly different processing capabilities, making it challenging to develop a single universal architecture of a neural network to extract facial embeddings. In this paper, we study the automated machine learning techniques to design a neural network with the best performance on a concrete device. The novel procedure is proposed ...
Added: November 22, 2024
Lola I. S., Asoskov D., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2024. No. 128/STI/2024.
This paper investigates the utility of business uncertainty indicators as predictive tools for forecasting economic activity in the context of Russia. In an era characterized by global economic volatility and geopolitical shifts, understanding the dynamics of economic uncertainty and its impact on overall economic performance is of paramount importance. The study utilizes a comprehensive dataset ...
Added: November 2, 2024