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Development of a Neural Network Method for Identification of the Method to Detect Slag Flow in a Metallurgical Unit "Steel Ladle-Intermediate Ladle"

Development of a Neural Network Method for Identification of...

引用

International Conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Y.A. Tsygankov Y.A. Kovriznich M.S. Sergeychik A.V. Korenev Automated and Information Control Systems Department Stary Oskol Technological Institute (Branch) NUST "MISIS" Stary Oskol Russia

The paper presents the results of research on the development of an algorithm for identifying the moment of the beginning of slag lapse during the functioning of the metallurgical unit "steel ladle-intermediate ladle". In the paper were performed works on the formation of datasets of the vibration acceleration signal at the functioning technological object. After that, experiments on amplitude and frequency analysis of the signal were performed in order to form a criterion for determining the moment of the beginning of slag flow. Then the possibility of application of autoencoder artificial neural network for identification of metallurgical unit state was tested.

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Trust-Based Security Architecture for Edge Computing: A Simulation Study of Dynamic Trust Evolution and Attack Detection 11

Trust-Based Security Architecture for Edge Computing: A Simu...

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11th International Scientific Conference "information Technology and Implementation", IT and I 2024

作者： Kuznetsov, Oleksandr Frontoni, Emanuele Kuznetsova, Yelyzaveta Smirnov, Oleksii Moskovchenko, Illarion Department of Theoretical and Applied Sciences eCampus University Via Isimbardi 10 CO Novedrate22060 Italy Department of Political Sciences Communication and International Relations University of Macerata Via Crescimbeni 30/32 Macerata62100 Italy Department of Information and Communication Systems Security School of Computer Sciences V. N. Karazin Kharkiv National University 4 Svobody Sq. Kharkiv61022 Ukraine Department of cyber security and software Central Ukrainian National Technical University 8 University Ave Kropyvnytskyi25006 Ukraine Department of mathematical and software of automated control systems Faculty of automated control systems and ground support for aviation flights Ivan Kozhedub Kharkiv National Air Force University Sumska str. 77/79 Kharkiv61023 Ukraine

This paper presents a comprehensive experimental study of a novel trust-based security architecture for edge computing environments. We introduce an adaptive security framework that combines dynamic trust evaluation with decentralized decision-making mechanisms to enhance threat detection and system resilience. Through extensive simulation experiments, we evaluate the architecture's performance across various network configurations, ranging from 20 to 100 nodes, with different operational parameters and security event patterns. The simulation framework implements a sophisticated spatial distribution model for edge nodes, incorporating computational constraints, memory limitations, and communication boundaries typical of edge computing environments. Our results demonstrate that the proposed architecture achieves an 83.0% threat detection rate while maintaining network resilience at 95.6%, significantly exceeding baseline security requirements. The trust management mechanism demonstrates robust adaptation to security events, maintaining average trust scores of 78.6% despite active security incidents. We provide detailed analysis of system behavior under various attack scenarios, including intrusion attempts, data leaks, DDoS attacks, and authentication failures. The architecture shows exceptional scalability characteristics, with improved detection rates and trust stability in larger network configurations. Performance metrics reveal consistent achievement above target thresholds across all evaluated dimensions, with minimum trust levels maintaining a 7.2 percentage point margin above requirements. Our findings provide empirical validation of the architecture's effectiveness while offering practical insights into deployment considerations for edge computing security. The study contributes to the field by establishing quantitative benchmarks for security performance in edge environments and demonstrating the viability of trust-based security mechanisms for distributed

关键词： Mobile edge computing

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Development of a Functional Scheme of Inter-Circuit Interactions in Heating Furnaces Using the Example of Metal Heating Furnaces of JSC “OEMK Named After A.A. Ugarov”

Development of a Functional Scheme of Inter-Circuit Interact...

引用

International Conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Andrey Fomin Automated and information control systems department Stary Oskol technological institute n.a. A.A. Ugarov (branch) NUST “MISIS” Stary Oskol Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

The article is devoted to the development of a functional model of intercultural interactions inside a metal heating furnace before rolling. The analysis of data from a real heating furnace was performed, a full-scale experiment was conducted in order to search and study the interconnections. The result of the work is the developed functional scheme of the inter-circuit interactions of the metal heating furnace before rolling.

关键词： Heating systems Automation Furnaces Metals control systems Mathematical models Energy efficiency

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Product Traceability Digital Tool Powered by Mathematical Model for Logistics Digital Platform 15

Product Traceability Digital Tool Powered by Mathematical Mo...

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Kulba, Vladimir Medennikov, Viktor V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

This paper discusses a mathematical model for establishing a single digital logistics platform as a link between all participants in the added-value creation chain, including producers, resource and services suppliers, consumers, and logistics companies. This demonstrates that the platform in question is an opportunity to create digital tools for products and goods traceability throughout the entire production and logistics chain from the field to the end consumer's kitchen. © 2022 IEEE.

关键词： Digital devices

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Improved Architecture and the Synthesis Algorithm for Bithreshold Neural Network Classifier

Improved Architecture and the Synthesis Algorithm for Bithre...

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International Computer Sciences and information Technologies (CSIT)

作者： Vladyslav Kotsovsky Anatoliy Batyuk Department of Information Management Systems and Technologies Uzhhorod National University Uzhhorod Ukraine Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine

The model of the 3-layer feed-forward neural network is introduced whose first hidden layer consists of bithreshold neurons and the other layers—of single-threshold ones. The proposed network is capable to recognize compact finite set of patterns using a union of hyperrectangular decision regions in n-dimensional space. We design a multiclass classifier on the base of such network, propose the synthesis algorithm for it and estimate the networks size as well as the time of computations. The simulation results demonstrate that the application of the additional hidden layer improves the accuracy of classification.

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Multithreshold Neural Units and Networks

Multithreshold Neural Units and Networks

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International Computer Sciences and information Technologies (CSIT)

We deal with theoretical issues concerning the application of the multithreshold architecture in the theory of neural computation. The way of representing a multithreshold function by 2-layer neural network consisting of single-threshold neural units with equal weights is established in the paper. We also study the complexity of the problem of the learning k-threshold neurons and prove that this problem is NP-hard if the number of thresholds is greater than one.

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Researching Computer Vision Techniques to Detect Safety Violations

Researching Computer Vision Techniques to Detect Safety Viol...

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2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Medvedev, Pavel Mokshin, Vladimir Kazan National Research Technical University Named after A. N. Tupolev - Kai Department of Applied Mathematics and Computer Science Kazan Russia Kazan National Research Technical University Named after A. N. Tupolev - Kai Department of Automated Information Processing Systems and Management Kazan Russia

ISBN: (纸本)9781665475952

Currently, there are negative statistics on industrial accidents. There are more and more accidents due to the neglect of personal protective equipment. In this regard, it is necessary to develop an information system for monitoring and analyzing personal protective equipment. This article deals with the problem of accidents at work. An information system developed by me is proposed that recognizes and records violations in the form of reports. I implemented this information system using the Python programming language and using a pretrained model for object recognition YOLO5. Today, one of the most common model options is model training using YOLO. © 2023 IEEE.

关键词： information systems

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The Ability to control the Technical Vision of Robots for Effective Object Recognition 2

The Ability to Control the Technical Vision of Robots for Ef...

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2nd International Conference on Technology Enhanced Learning in Higher Education, TELE 2022

作者： Kramarov, Sergey Olegovich Khramov, Vladimir Viktorovich Grebenyuk, Elena Vladamirovna Southern Federal University. SFU Department of Technology and Professional and Pedagogical Education Rostov-on-Don Russia Department of Computer Science Rostov-on-Don Russia Surgut State University SurSU Department of Automated Information Processing and Management Systems Surgut Russia

ISBN: (纸本)9781665470070

The theoretical and practical issues of the development of a control system for the technical vision of robots, which is based on the specifics of the processed information and the principles of building an integral system for understanding the image of the scene in its study, as well as the principles of building an integral system for recognizing the image of the scene, are considered. The issues of visual representation of objects and processes on rectangular, triangular and hexagonal rasters are considered. The results of these studies make it possible to analyze data presented through visual coding, intelligent processing and use for support and decision-making systems in a wide variety of fields of knowledge. The use of the proposed approach to the description of objects provides rapid analysis of raster images, prepares the initial information for more subtle studies, allows to quickly determine the important characteristics of the object in the image. © 2022 IEEE.

关键词： Object recognition

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control of an Autonomous Energy Complex with Renewable Energy Sources, taking into account the Type of Input information Uncertainty 4

Control of an Autonomous Energy Complex with Renewable Energ...

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4th International Conference on control in Technical systems, CTS 2021

作者： Simankov, Vladimir S. Buchatskiy, Pavel Yu. Shopin, Andrey V. Teploukhov, Semen V. Buchatskaya, Victoria V. Department of Computer Technologies and Information Security Kuban State Technological University Krasnodar Russia Department of Automated Systems of Processing Information and Control Adyghe State University Maykop Russia Department of Applied Mathematics Information Technology and Information Security Adyghe State University Maykop Russia

ISBN: (纸本)9781665424547

This article discusses the management of autonomous energy complex with renewable energy within the smart grid solutions in terms of different types of input data uncertainty. On the basis of the theory of fuzzy logic and a fuzzy situational network, an approach has been developed that allows one to calculate the type of uncertainty of the input information, and then select the most appropriate mathematical model and control strategy for AEC with RES. © 2021 IEEE.

关键词： Smart power grids

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Simulation Model for controlling the processing of information Packets by a NoC Router

Simulation Model for Controlling the Processing of Informati...

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information, control, and Communication Technologies (ICCT), International Conference on

作者： Denis Kutuzov Alexey Osovsky Dmitriy Starov Nataliya Maltseva Vladimir Esaulenko dept. of Communication Astrakhan State Technical Universitet Astrakhan Russia dept. of Automated Information Processing and Control Systems Astrakhan State Technical Universitet Astrakhan Russia

This article describes the challenges of modeling switch fabric traffic that is part of NoC routers. Simulation is often used to validate a NoC design and identify potential performance bottlenecks before implementing hardware. Due to the distributed and complex network topology of routers, arbitration and routing algorithms, etc., timing, buffer queuing, and hence infrastructure performance are difficult to predict. Network traffic also generates application traffic in data processing nodes. When processing NoC traffic, the activity of IP cores is unstable and does not have stationarity, so it is very important to find traffic control mechanisms. Often, well-known models built on the basis of queuing theory do not always correctly reflect the connection request processing logic, do not take into account deadlocks and other features of the system functioning. An approach that can more accurately take into account the nuances of the switch is to build an agent-based model. To create it, we used the Mesa framework implemented in the Python programming language. The switch has small built-in buffers - one for each input. The model used a switch with 5 inputs and 5 outputs. The idea behind switch traffic management is to count how often there are transacts in the internal buffers that are directed to one exit. If they occur frequently enough, then the information flow is split and two or more outputs are given the same identifier to service such transacts in parallel.

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