Информационное представление метода и модели кэширования на основе использования временных меток

Атласов И. В.; Горшков А. В.; А. Ф. Каперко; Коптелова А. С.

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Информационное представление метода и модели кэширования на основе использования временных меток

Системы управления и информационные технологии. 2024. № 2(96). С. 46–50.

Атласов И. В., Горшков А. В., Kaperko A., Коптелова А. С.

An analytical representation of the caching method based on the use of timestamps has been created, which ensures timely updating of cached data during client-server processing by calculating minimum timestamps.

Research target: Computer Science

Language: Russian

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Keywords: база данных Database кэширование cashing time points временные метки

Amplifying Latent Safety in Large Language Models via Gated Activation Steering

Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261

Abstract Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...

Added: October 27, 2026

PACTraD: Multi-Task Benchmark and Domain-Specific Attention Mechanism for Wildlife Classification, Detection, and Segmentation in Protected Area Camera Trap Data

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52

Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...

Added: October 27, 2026

2026 10th Scientific School Dynamics of Complex Networks and their Applications

IEEE, 2026.

Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications" (DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies, engineering education, research and design of complex networks. DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International Forum on Artificial Intelligence and ...

Added: October 26, 2026

A Curated Dataset for Chemical Characterization of Heated Tobacco Product Aerosol

Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20

We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...

Added: October 26, 2026

Как сохранить цифровую память: об архивации, доверии и электронных базах данных

Душакова Н., Фольклор: структура, типология, семиотика 2025 Т. 8 № 4 С. 145–159

Цифровая среда может выступать не только каналом трансмиссии устной памяти или хранилищем разрозненных воспоминаний, целенаправленно или стихийно создаваемых каждым, кто пользуется смартфоном. Как и устная память, выделяемая современными исследователями «память цифровая» представляет собой активный процесс, на который влияют самые разные факторы (от контекста размещения оцифрованных или изначально цифровых данных до надежности инфраструктуры и заинтересованности отдельных ...

Added: October 25, 2026

A Multi-Feature Fusion Deep Neural Network with Attention for Multi-Task Crop Monitoring

Obsie E. Y., Zhan Y., Liu Y., Engineering Research Express 2026 Article 7

Maintaining plant health is crucial for crop quality, food security, and agricultural productivity. Although deep learning methods have shown strong potential for species, disease, and severity classification, most existing approaches tackle these tasks separately, failing to exploit shared representations and interdependencies among them. Furthermore, the variability of disease symptoms, such as subtle differences in size, ...

Added: October 22, 2026

A Neural Network Approach for Generating Libration Point Orbits

Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813

In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...

Added: October 19, 2026

Основы теории информации

Vorontsova T., М.: Академия, 2025.

The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...

Added: October 19, 2026

A Reproducible Microscopy Acquisition Pipeline and Microscopy-Aware Attention for Classification, Detection, and Segmentation of Microorganisms

Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330

Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...

Added: October 14, 2026

Studies in Computational Intelligence

Springer, 2026.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...

Added: October 13, 2026

Proceedings of the 3rd International Conference on Sustainability: Developments and Innovations. Proceedings of ICSDI 2026, Volume 4. Lecture Notes in Civil Engineering (LNCE, volume 886)

Springer, 2026.

This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...

Added: October 13, 2026

Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255

Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...

Added: October 13, 2026

Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network

Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273

A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...

Added: October 13, 2026

When universal machine learning models fail in capacitance prediction for carbon-based supercapacitors: Leakage-aware validation and electrolyte screening

Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159

Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors; however, most published models assume that a single predictive framework can describe both conventional porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related descriptors. Three ML algorithms ...

Added: October 13, 2026

LiteKV: A KV cache compression method for efficient inference on resource-constrained devices

Zhang Z., Ilvovsky D., Information Processing and Management 2026 Vol. 63 No. 7

Transformer-based Large Language Models (LLMs) rely on Key-Value (KV) cache to accelerate autoregressive decoding, but memory and compute requirements still grow with context length, limiting deployment on resource-constrained devices. Existing training-free KV cache compression methods mainly rely on attention-driven retention heuristics, which may under preserve structurally informative tokens under tight cache budgets, especially when such ...

Added: October 13, 2026

No Species Is an Island, Entire of Itself: Genetic Speciation Algorithm with Interplay among Species

Gromov V., Sohrabi M., Fathollahi-Fard A., International Journal of Engineering, Transactions B: Applications 2027 Vol. 40 No. 5 P. 1437–1460

This paper, with a particular emphasis on Genetic Algorithm (GA), proposes a novel approach that integrates clustering mechanisms, predator-prey dynamics, and a distinctive selection strategy for generating subsequent populations. The proposed evolutionary algorithm, referred to as Genetic Speciation Algorithm with Interplay Among Species (GSAIS), is comprehensively evaluated against several variants of GAs as well as ...

Added: October 12, 2026

JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи

Alexandrov D., Vasilevsky V., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 5 С. 73–90

Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...

Added: October 12, 2026

Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan

Singapore: Springer, 2026.

This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...

Added: October 12, 2026

РАЗРАБОТКА МЕТОДА И АЛГОРИТМОВ АДАПТИВНОГО ФЕДЕРАТИВНОГО ОБУЧЕНИЯ С УЧЕТОМ РАСПРЕДЕЛЕННОГО ЗАПАЗДЫВАНИЯ КЛИЕНТСКИХ ОБНОВЛЕНИЙ

Zykov S. V., Ермаков С. Р., Современные наукоемкие технологии 2026 № 9 С. 43–53

При федеративном обучении с неоднородными клиентскими данными и переменными задержками запоздавшие обновления могут ухудшать качество модели, а обмен параметрами с глобальным сервером увеличивает сетевую нагрузку. Целью исследования является разработка и теоретико-экспериментальное обоснование метода и алгоритмов адаптивного федеративного обучения с учетом распределенного запаздывания клиентских обновлений. Для обоснования разрабатываемых решений использованы событийная и непрерывная модели градиентных обновлений, ...

Added: October 11, 2026

О воспроизводимости анализа временных рядов на основе матричных профилей

Брычков М. Е., Незнанов А.А., Программирование 2026 № 4 С. 50–66

The matrix profile (MP) quickly became one of the most important time series preprocessing methods when it was introduced in 2016, facilitating the solution of a wide range of time series analysis problems, in particular anomaly and pattern detection problems. The high significance has led to the emergence of various tools for MP calculating, but ...

Added: October 9, 2026

Человеко-машинная система анализа и улучшения качества условий проживания населения

Aleskerov F. T., Вайншток А. П., Делахова А. М. et al., Информационные процессы 2026 Т. 26 № 3 С. 895–913

The development and effective management of territorial entities are priority issues for all states, particularly in the context of the digital transformation of public administration. Over the past decade, the integration of information technologies into municipal and regional planning has significantly altered approaches to strategic development, service delivery, and public engagement. This paper describes the ...

Added: October 9, 2026

On the Issue of Creating Dynamic Search Services for Highload Systems

Alexandrov D., Kalinin A., Alexey Danilov et al., , in: Intelligent Decision Technologies. Proceedings of the 17th KES-IDT 2025 ConferenceVol. 450.: Cham: Springer, 2026. P. 57–68.

There are a lot of high-load systems for searching various information using the Internet. However, such systems have disadvantages and various trade-offs. For example, the search speed may drop, the quality of the search result itself may not satisfy the user, or the search engine may have poor functionality for extracting or filtering data. This ...

Added: September 14, 2026

Систематизация равноправных произносительных вариантов в современном русском языке (на материале орфоэпических словарей)

Zubov V., Вопросы лексикографии 2026 № 40 С. 64–86

The article addresses the problem of selecting and systematizing data for the study of pronunciation variation in contemporary Russian and proposes a solution in the form of a specialized database of codified equivalent pronunciation variants (e.g., simmétriya / simmetríya “symmetry”). The article presents a methodology for identifying, selecting, and organizing such variants into a database. ...

Added: July 23, 2026

Revealing Structure-Reporting Patterns of Pyruvylation Effects on 13C NMR Chemical Shifts in Natural Saccharides

Toukach P., Smirnova N. S., Zdorovenko E. L. et al., Analytical Chemistry 2026 Vol. 98 No. 15 P. 10988–10996

Pyruvylation is one of the immunochemically relevant modifications of O-antigens in bacterial and fungal cells. Therefore, fast and relatively simple analytical methods for identifying this modification are highly demanded. 13C NMR spectroscopy is the best candidate for this purpose, but its successful application requires using reference structures and reliable databases. In this work, we collected ...

Added: May 25, 2026