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Сетевые технологии
Bakanov V. M.
The proposed training manual is designed to prepare students of III-V rates of various forms of training in the specialty "Computers, complexes, systems and networks." Allowance can used by students to prepare for and carry out laboratory practical work on the course "Networking." This paper considers the use of standard and development original network applications (the latter as with the explicit use of Sockets and using their ability encapsulating components systems, rapid application development (RAD - Rapid Application Design) in the environment of the operating system Windows). We describe the specific methods CGI / ISAPI-network programming, building client and server applications and other network applications you create a workable LAN and WAN.
Language:
Russian
Keywords: networkingсетевые технологииComputers, complexes, systems and networksRapid Application Designbuilding client and server applicationsbuilding client and server networking applicationsLAN and WANВычислительные машины, комплексы, системы и сетипрограммирование сокетовCGI/ISAPI-сетевое программированиесоздание клиентских и серверных сетевых приложенийлокальные и глобальные сети
Вишняков Г. Н., Yurin A., Minaev V. et al., Измерительная техника 2026 Т. 75 № 2 С. 46–57
The problems of metrological assurance for measuring the refractive index of solid optical materials (silicon, germanium, etc.) used in the infrared range of the spectrum (infrared materials) are considered. The refractive index of optical materials in the infrared wavelength range must be known with high accuracy when developing optics for thermal imagers, night vision devices, ...
Added: May 14, 2026
Neal N. X., Weiqing L., Dacheng H. et al., Algorithms 2026 Vol. 19 No. 5 P. 1–22
In the era of data-driven education, educational social networks generate large volumes of high-dimensional and complex-structured data through learner interactions, collaborative activities, and resource-sharing behaviors, posing significant challenges to traditional unsupervised learning methods. Such data often exhibit non-convex distributions, heterogeneity, and noise sensitivity, making conventional clustering approaches insufficient for capturing their intrinsic structural relationships. To ...
Added: May 13, 2026
Velichkov B., Nikolova-Koleva I., Slavcheva M., Shumen: INCOMA Ltd, 2025.
The RANLP 2025 Student Research Workshop (RANLPStud’2025) is a special track of the established international conference Recent Advances in Natural Language Processing (RANLP’2025).
The RANLPStud is being organised for the 9th time and this year is running in parallel with the other tracks of the main RANLP 2025 conference. The target of RANLPStud’25 is to be a ...
Added: May 12, 2026
Методика оценки функциональной безопасности маршрутизаторов на основе вероятностно-физической модели
Polesskiy S., Tumkovskiy S., Tsvetkov V. et al., Информационно-управляющие системы 2026 № 2 С. 49–60
The functional safety of network routers used in critical information infrastructure requires quantitative assessment based on dependability data. Existing safety assessment methods do not account for the influence of physical degradation mechanisms under real operating conditions, which reduces the credibility of the results and complicates the adoption of well-founded engineering decisions. Purpose: Is to improve ...
Added: May 12, 2026
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Added: May 12, 2026
Tikhonov R., Efendiev M. T., Fedotenkov A. A., 2026 International Russian Smart Industry Conference (SmartIndustryCon) 2026 P. 542–547
High-fidelity simulation environments like CARLA and ROS are essential for connected and automated vehicle research. They allow researchers to verify and validate new software and technology without the time, financial, and safety overheads of real-world testing. However, their operation requires considerable expertise for creating platform-specific scenario configuration files, which complicates the research workflow. This paper ...
Added: May 11, 2026
М.: ООО «Макс Пресс», 2026.
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Added: May 11, 2026
Киселева Н. А., Михайлов К. А., Чернилевская О. Н. et al., Отечественная и зарубежная педагогика 2024 Т. 1 № 4 С. 109–123
The article is devoted to the study of foreign experience in the field of development of scientific knowledge and design and research skills of schoolchildren in the scientific community of students. The authors studied and analyzed foreign experience in organizing scientific communities of students, which demonstrates specific practical practices. As part of this work, the ...
Added: May 11, 2026
Ольшанская С. С., Чернилевская О. Н., Михайлов К. А. et al., Научные исследования и разработки. Социально-гуманитарные исследования и технологии 2024 Т. 13 № 4 С. 17–24
The article is devoted to the study of development of scientific cognition of modern schoolchildren. Based on the analysis of the situation and taking into account the peculiarities of successful Russian and international practices, the authors of the article have designed a model of scientific community of students in Moscow. ...
Added: May 11, 2026
Los Alamitos: IEEE Computer Society, 2026.
It is a great pleasure for us to welcome you on behalf of the conference committees, to the 11th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2026), we are glad that we can have this international conference in New York city, USA. Now, please allow us to introduce the IEEE SmartCloud 2026 conference. The ...
Added: May 10, 2026
Avdoshin S. M., Pesotskaya E. Y., Информационные технологии 2026 Т. 32 № 4 С. 185–194
With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
Added: May 8, 2026
Avdoshin S. M., Pesotskaya E. Y., Business Informatics 2026 Vol. 20 No. 1 P. 7–28
The rapid development of artificial intelligence (AI) is accompanied by increasing computational
complexity and decreasing model transparency, which significantly limits its adoption in critical
domains that require a high level of trust, interpretability, and justification of decisions. Under these
conditions, the field of Explainable Artificial Intelligence (XAI) has gained particular importance as it
focuses on approaches and technologies that ...
Added: May 8, 2026
Varnavsky A., IEEE Access 2026 Vol. 14 P. 37487–37508
Puzzles are an excellent tool for learning computer science and programming, fostering increased interest, engagement, and motivation among students, as well as developing logical, critical, and computational thinking. Among beginner programmers, Parson's Programming Puzzles are quite popular, aimed at mastering the basic syntactic and logical constructs of programming languages. However, as students' skills grow, their ...
Added: May 7, 2026
Ismagilov T., Mukosey A., Smirnov F. et al., International Journal of High Performance Computing Applications 2026 Vol. 40 No. 2 P. 240–253
One of the most important aspects of supercomputer development in the post-Moore era is the interconnect technologies that allow one to unite a multitude of processing elements into a well-synchronized computing system. Novel types of supercomputer interconnect require careful benchmarking and compliance with the requirements of modern hardware trends. GPU-based heterogeneous computing is one of ...
Added: May 7, 2026
Абимбола О. А., Балогун А. Д., Мир психологии. Научно-методический журнал 2025 № 3(122) С. 200–211
Children with learning disabilities in Nigeria face systemic exclusion from quality education due to fragmented collaboration between educators, caregivers and social policymakers. This study examines collaborative approaches that support children with learning disabilities and identifies systemic barriers to the effectiveness of these approaches. 45 semi-structured interviews and focus groups of stakeholders from urban and rural ...
Added: May 6, 2026
Абимбола О. А., Психологическая наука и образование 2026 Vol. 31 No. 2 P. 244–255
Context and relevance. The article discusses the lack of scientific knowledge about the barriers and factors of systemic failure in adapting inclusive education models to the ethnolinguistic diversity and acute resource constraints characteristic of low- and middle-income countries (LMICs). Objective. The aim is to identify key factors that promote and hinder the implementation of inclusive ...
Added: May 6, 2026
Talov D., Tarasova K., Высшее образование в России 2026 Т. 35 № 4 С. 85–104
The development of critical thinking is currently regarded as one of the key objectives of higher education. In this context, there is a growing number of instruments aimed at assessing critical thinking in domain-specific and more authentic educational settings. However, considerably less attention has been paid to the question of the extent to which the ...
Added: May 6, 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
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 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
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
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025