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12th Electrical Engineering faculty Conference, BulEF 2020

作者： Stankov, Ivan Technical University of Sofia Computer Systems and Control Faculty Sofia Bulgaria

ISBN: (纸本)9781728194394

The present article is based upon the prerequisite of existence of real needs for reading, storing and reliable transfer of information from sensors. The goal is to present, analyze and evaluate widely accessible and easily exploited LoRa technology for data in variety of industrial sensor networks. A comparative analysis of ZigBee, 6LoWPAN, Z-Wave and LoRa has been performed. © 2020 IEEE.

关键词： Sensor networks

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One solution of a Distributed System intended for communication between ADAS and IVI systems

One solution of a Distributed System intended for communicat...

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Vuk Čabrilo Dušan Kenjić Radomir Zlatković Marija Antić Department of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia RT-RK Institute of Computer Based Systems Novi Sad Serbia

Current trends of digitalization and automation in the automotive industry have increased the complexity of computer clusters in different domains of vehicular ecosystems, which are required to support new features. This has led to redundancy in resource usage in specific use cases, resulting in increased production costs and manufacturer suggested retail price (MSRP) markups for the finalized products. The average retail price of a new vehicle in the United States increased by 13.4% between 2015 and 2020. Considering the global chip shortage of 2020 and current global inflation, the average price of a new vehicle in the United States reached $49,500 in 2023 [1]. With the electrification of current automotive platforms underway, as well as the move to centralized system architectures, new approaches to inter-domain communication are expected. This paper proposes a solution of a distributed AUTOSAR Adaptive system that can establish communication with the In-Vehicle Infotainment (IVI) domain. The proof of concept implemented in a controlled environment proves viable for inter-domain communication, as it provides good scalability and adaptability to different scenarios. The use of a distributed approach facilitates the applicability of distributed system principles, allowing for the implementation of a stable system.

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Improving finite-difference time-domain memory bandwidth by using block floating-point arithmetic

Improving finite-difference time-domain memory bandwidth by ...

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Telecommunications Forum (TELFOR)

作者： Stefan Pijetlovic Ivan Kastelan Milos Subotic Nebojsa Pjevalica RT-RK Institute for computer based systems Novi Sad Serbia Department of Computing and control engineering (Faculty of Technical Sciences) University of Novi Sad Novi Sad Serbia

Finite-difference time-domain is a numerical method used for modelling of computational electrodynamics. The method is resource intensive, especially regarding memory usage since multiple memory accesses are required per single computation. In other words, memory, or more precisely its speed, is a limiting factor for the overall performance. Existing solutions focus either on structures with great parallelism such as graphical processing units or custom designs. The former have issues with underutilized resources, while the latter require significant time and effort to achieve similar or slightly better performances. The approach taken during this research was to target the memory itself and find a way to improve the efficiency of memory usage across multiple platforms. The main contribution of the paper is using block floating-point in a novel way regarding the finite-difference time-domain method. The presented solution is a verification of earlier research, proving that the performance of this algorithm can indeed be improved using the suggested methods.

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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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Lyapunov stability of generalized ribosome flows*

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IFAC-PapersOnLine 2022年第18期55卷 56-61页

作者： Mihály A. Vághy Gábor Szederkényi Faculty of Information Technology and Bionics Pázmany Péter Catholic University H-1444 Budapest Hungary Systems and Control Laboratory Institute for Computer Science and Control (SZTAKI) H-1111 Budapest Hungary

In this paper we show that a wide class of compartmental systems with bounded capacities called generalized ribosome flow models are stable with an entropy-like logarithmic Lyapunov function known from the theory of nonnegative systems and reaction networks. The stability proof uses the kinetic representation of the compartmental model and earlier approaches applied for the input-to-state stability analysis of reaction networks with time-varying reaction rates. The results are valid not only for mass action type systems but also for models with more general reaction rates. Illustrative examples are given to show the qualitative dynamical properties of simple generalized ribosome flow models.

关键词： Lyapunov methods stability of nonlinear systems stability of distributed parameter systems kinetic modeling

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PID controller Machine Learning Algorithm Applied to the Mathematical Model of Quadrotor Lateral Motion 6

PID Controller Machine Learning Algorithm Applied to the Mat...

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6th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2021

作者： Kucherov, Dmytro Kozub, Andrei Tkachenko, Valerii Rosinska, Galina Poshyvailo, Olexii Faculty of Cybersecurity Computer and Software Engineering National Aviation University Department of Computerized Control Systems Kyiv Ukraine National Space Facilities Control and Test Center State Space Agency of Ukraine Kyiv Ukraine

ISBN: (纸本)9781665438223

The paper discusses the problem of automatic tuning of the PID controller. The auto-tuning algorithm of the PID controller based on one machine learning method, which is equivalent to the steepest descent, is proposed. A feature of the proposed approach is the vector adjustment of the PID controller parameters, where the angular direction of descent is taken into account at first, and the step sizes are made if taking into account the increased accuracy of the approximation near the optimum point. Modeling performed in the Matlab environment confirms the effectiveness of the proposed approach. © 2021 IEEE.

关键词： Three term control systems

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Bridging research gaps in breast cancer detection: An ensemble approach informed by bibliometric analysis

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Biomedical Signal Processing and control 2025年 109卷

作者： ZainEldin, Hanaa Bamaqa, Amna Farsi, Mohammed Badawy, Mahmoud Elhosseini, Mostafa A. Computers and Control Systems Engineering Department Mansoura University Faculty of Engineering Mansoura35516 Egypt Department of Computer Science and Information Applied College Taibah University Madinah42353 Saudi Arabia Department of Information Systems College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia

One of the leading causes of cancer-related death for women is still breast cancer, which highlights the importance of early and precise diagnosis techniques. Despite medical imaging and deep learning advances, current models fail to combine innovative object identification and classification methods, limiting their diagnostic performance. A bibliometric study of 1145 research articles identified key gaps, including the lack of integration between advanced object detection models like YOLOv9 and YOLOv10 with high-performance classification architectures such as EfficientNet B7, as well as the limited utilization of diverse imaging modalities. This study proposes a novel ensemble model for Breast Cancer Classification and Detection by combining YOLOv9, YOLOv10, and EfficientNet B7 (BC2D-Y/EN) to address these gaps. The proposed model combines the advanced object detection capabilities of YOLOv9 and YOLOv10 with the high-performance classification power of EfficientNet B7. This method aims to improve detection accuracy and computational efficiency in breast cancer identification. The proposed approach is validated using four publicly available datasets: CBIS-DDSM, CBIS-DDSM RGB breast cancer dataset, The Breast1 MRI dataset, and the Breast Ultrasound Tumor Object Detection dataset, all containing expert-annotated cases of benign and malignant tumors. The experimental findings indicate that the suggested model surpasses other models, achieving precision rates of 98.56% with EfficientNet B7, 98.3% with YOLOv9, and 100% with YOLOv9. These findings highlight the advantages of advanced models and diverse imaging methodologies to enhance diagnostic accuracy and effectiveness in breast cancer detection. © 2025 Elsevier Ltd

关键词： Deep learning

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On some regularization of the control problem for a tracked mobile robot in a steady flow field under state constraints

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IFAC-PapersOnLine 2022年第16期55卷 226-230页

作者： Roman A. Chertovskih Anna N. Daryina Dmitry Yu. Karamzin Fernando Lobo Pereira Research Center for Systems and Technologies (SYSTEC) Engineering Faculty of Porto University Portugal Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

In this article, we consider the time-optimal motion control of a tracked mobile robot in the presence of state constraints. The complexity of the problem statement is due to a steady vector flow field in which the motion is takes place. The difficulty of the considered model is also compounded with the non-regularity of the dynamics with respect to the state constraints. A method for regularisation is proposed. Such a method involves a certain construction of a regular (in the needed sense) ε-perturbation of the original problem.

关键词： Optimal control Tracked Robots Maximum principle State constraints

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Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results 18

Cybersecurity Threat Detection in the Behavior of IoT Device...

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18th Conference on computer Science and Intelligence systems, FedCSIS 2023

作者： Czerwinski, Michal Michalak, Marcin Biczyk, Piotr Adamczyk, Blazej Iwanicki, Daniel Kostorz, Iwona Brzeczek, Maksym Janusz, Andrzej Hermansa, Marek Wawrowski, Lukasz Kozlowski, Artur Qed Software Mazowiecka 11/49 Warsaw0-052 Poland Ukasiewicz Research Network - Institute of Innovative Technologies Emag Leopolda 31 Katowice40-189 Poland Efigo Sp. Z O.o. M.Kopernika 8/6 Katowice40-064 Poland Faculty of Mathematics University of Warsaw Banacha 2 Warsaw02-097 Poland Department of Computer Networks and Systems Faculty of Automatic Control University of Technology Electronics and Computer Science Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9788396744784

The paper discusses a data science competition centered around the development of an anomaly detection system for IoT devices. The competition utilized a unique environment that allowed for the operation and monitoring of real IoT devices, including scheduling of attacks on these devices. The environment was used to collect the data, which included both normal and attack-induced behavior of IoT devices. The paper presents the background of the competition, the top models submitted, and the competition results. The paper also includes a discussion about restrictions related to the use of synthetic attack data as input for constructing anomaly detection systems. © 2023 Polish Information Processing Society.

关键词： Quality control

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Profitability of a hybrid heating system for a single-family house in Poland based on a heat pump and photovoltaics

Profitability of a hybrid heating system for a single-family...

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2020 Applications of Electromagnetics in Modern Engineering and Medicine, PTZE 2020

作者： Drzymala, A. Korzeniewska, E. Institute of Economics University of Lodz Lodz Poland Institute of Electrical Engineering Systems Faculty of Electrical Electronic Computer and Control Engineering Lodz University of Technology Lodz Poland

The article presents an analysis of the profitability of an investment consisting of a heat pump and a photovoltaic installation located in Poland for an exemplary single-family house. The factors that have a significant impact on the profitability and payback time of such installations operating in a dual configuration are described. A simulation of profitability taking into account the legal regulations and support systems was presented. The considered case of profitability concerns a specific technical solution in which an 8 kW air / water pump was used. The pomp cooperates with a photovoltaic installation with a power of up to 10kW, operating in a discount system with an energy consumption factor of 0.8. For the purposes of this article, the DCF (discounted cash flow) method was used. Using this method, it is possible to calculate the market value of the investment with the assumed boundary criteria. A comparison of the economic efficiency of an investment can be presented using the IRR (internal rate of return) method. © Published under licence by IOP Publishing Ltd.

关键词： Profitability

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