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3rd International Conference on Control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2021

作者： Ponomarev, Pavel Muzyleva, Inna Yazykova, Liubov Boikov, Andrei Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia

ISBN: (纸本)9781665439817

The paper discusses the possibilities and advantages of using augmented and virtual reality to study household appliances and circuitry. The analysis of examples of the application of this technology in education is carried out. Examples of the application of this technique are given. The methodology of using augmented reality in the organizational and educational process of a technical university is presented. One of the options for implementing the methodology in educational activities in the format of a multilevel game is considered. For example, we take 3D models of a circuit board, a refrigerator, and a microwave oven. Their devices and principles of action in the format of three-dimensional figures and 2D models are considered. It gives the student the opportunity to explore the actual appearance of each component of complex systems. © 2021 IEEE.

关键词： Timing circuits

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Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems

Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Ed...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Yuan, Haitao Wang, Meijia Bi, Jing Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing University of Technology Faculty of Information Technology Beijing China Lyle School of Engineering Southern Methodist University Dept. of Computer Science DallasTX United States

ISBN: (纸本)9798350337020

Current mobile edge computing (MEC) owns cloud resources at the network edge, which enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers with certain mobility and limited computing, e.g., flying unmanned aerial vehicles (UAVs), and vehicles, have emerged as competitors in providing services. In this work, aiming at a task offloading problem of a UAV-assisted MEC system, a hybrid network environment with multiple mobile devices (MDs) and multiple UAVs is established. A constrained mixed integer nonlinear program of the UAV-assisted hybrid cloud-edge system is formulated. A novel hybrid metaheuristic algorithm called Genetic Simulated annealing-based Particle Swarm Optimization (GSPSO) is presented to solve the program. Then, a task offloading and resource scheduling method is designed to intelligently minimize the total energy consumption of the hybrid system. Simulation results verify superiority of GSPSO over its three benchmark algorithms, thus demonstrating the proposed method significantly improves the energy efficiency of the UAV-enabled hybrid system. © 2023 IEEE.

关键词： computation offloading mobile edge computing particle swarm optimization simulated annealing UAVs

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Development of nonholonomic wheeled mobile robot model for applying time-efficient control strategy in competitive mobile robotics 1

Development of nonholonomic wheeled mobile robot model for a...

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1st International Conference on Technology Enhanced Learning in Higher Education, TELE 2021

作者： Kondratyev, Sergey E. Pikalov, Vladimir V. Muravyev, Artem A. Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia

ISBN: (纸本)9781665443968

This paper discusses the application of the developed mathematical model for controlling the motion of the nonholonomic mobile robot with the differential drive based on the ROBOTIS BIOLOID® STEM KIT for further use in competitive robotics, where young people of different ages can participate, both preschool, school, and college or university students. This model allows the application of optimized parameters of linear and angular velocities to servo drives of robots, which task is to navigate through the colored line (usually the color of white or black) in the minimal time interval using an array of infrared sensors. Additionally, it discusses the planning of movement on different tracks, straight lines, and various polygonal chains or curves, of which the competition track is usually created. Models of both two-wheeled and four-wheeled nonholonomic mobile robots with differential drives, which are used for experiments by students in our lab, are also discussed. Experimental data were obtained on the time intervals of mobile robots on different track sections;the results were compared before and after applying the optimization model. © 2021 IEEE.

关键词： Mobile robots

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Analysis of the impact on the power system of a metallurgical enterprise of the start-up modes of an electric drive of an air centrifugal compressor based on a high-voltage synchronous motor 18

Analysis of the impact on the power system of a metallurgica...

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18th International Scientific Technical Conference Alternating Current Electric Drives, ACED 2021

作者： Sinyukova, Tatyana Goloshchapov, Alexander Shishlin, Denis Sinyukov, Alexey Automation and Computer Science Faculty Lipetsk State Technical University Lipetsk Russia

ISBN: (纸本)9781665412483

Metallurgical production includes many interrelated, complex technological processes, ensuring the flow of which depends on the reliable and stable operation of the power system. The process of operation of electrical equipment and machines of individual technological units should completely exclude the impact on the overall power supply system. One of the energy-intensive elements of any production is high-voltage synchronous motors of electric drives of powerful pumps, compressors and fans. The start of this type of machine is usually accompanied by high starting currents, which in turn leads to drawdowns of the supply voltage and generally negatively affects the operation of the power system. This article examines the power supply and control system of a synchronous electric drive of an air compressor using Matlab Simulink programs, as well as the search for an optimal solution to limit the loads on the power supply system and the electromechanical complex as a whole. © 2021 IEEE.

关键词： Electric drives

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Augmented and virtual reality technologies in education 1

Augmented and virtual reality technologies in education

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1st International Conference on Technology Enhanced Learning in Higher Education, TELE 2021

作者： Muzyleva, Inna Yazykova, Liubov Gorlach, Alina Gorlach, Yakov Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia

ISBN: (纸本)9781665443968

The article examines the technologies of industrial revolution 4.0 - augmented reality and virtual reality. A detailed numerical analysis of known examples of the application of these technologies in the form of registered programs has been carried out. The possibilities of optimization of organizational and educational processes in higher technical education are analyzed. The methodology of using augmented reality in the organizational and educational process of a technical university is presented. A variant of augmented reality is proposed that allows you to 'examine' a 3D model of an object by turning a paper marker. To implement it, the EV Toolbox augmented and virtual reality constructor is used. © 2021 IEEE.

关键词： Augmented reality

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Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers

Deep and Spatio-Temporal Detection for Abnormal Traffic in C...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Yuan, Haitao Wang, Shen Bi, Jing Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing University of Technology Faculty of Information Technology Beijing China Lyle School of Engineering at Southern Methodist University Dept. of Computer Science DallasTX United States

ISBN: (纸本)9798350337020

Current interactions of network traffic through cloud data centers have become an important process of network services. Precise and real-time detection and prediction of network traffic can assist system operators in effectively allocating resources, and assessing network performance based on actual service requirements, and analyzing network health. However, sources and distribution of network traffic are different, which makes accurate warnings of network attack traffic become a difficult problem. In recent years, neural networks have been proven to be effective in predicting time series data, particularly long short-term memory networks for capturing temporal features and convolutional methods for capturing spatial features. This work proposes a Deep Hybrid Spatio-Temporal (DHST) network method for abnormal traffic detection in cloud data centers, which combines a cooperative temporal convolutional network, an attention mechanism and a random inactivation method to capture the network traffic data's spatio-temporal features. It improves accuracy of abnormal traffic detection, and realizes classification of normal traffic and abnormal one. It achieves higher accuracy than typical detection methods when applied to a real-life dataset collected from Yahoo Webscope S5. © 2023 IEEE.

关键词： anomaly detection Deep learning network traffic spatio-temporal modeling temporal convolutional networks

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Methods of damping of electromechanical oscillations in a multi-motor system 18

Methods of damping of electromechanical oscillations in a mu...

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18th International Scientific Technical Conference Alternating Current Electric Drives, ACED 2021

作者： Sinyukova, Tatyana Gladyshev, Vladislav Sinyukov, Alexey Lesnikova, Victoria Automation and computer science faculty Lipetsk State Technical University Lipetsk Russia

ISBN: (纸本)9781665412483

A common problem that occurs in modern production is the presence of electromechanical vibrations, which are a source of reducing the reliability of both an individual mechanism and the entire object as a whole. Therefore, in order to ensure reliable operation of the unit, it is necessary to ensure the process of vibration damping. The paper considers several methods of damping electromechanical oscillations in a multi-motor system, and provides a comparative analysis of the proposed methods. The object of the study is a belt conveyor, which is a continuous mechanism. The conveyor is installed in the blast furnace shop of the Novolipetsk Metallurgical Plant. © 2021 IEEE.

关键词： Damping

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Application of Kendall's W Coefficient to Identify Groups of Statistically Related Variables 3

Application of Kendall's W Coefficient to Identify Groups of...

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3rd International Conference on Control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2021

作者： Zhuravlyova, Marina Vedishchev, Vitalii Lipetsk State Technical University Faculty of Automation and Computer Science Lipetsk Russia

ISBN: (纸本)9781665439817

Original algorithm for identifying groups of statistically interrelated variables based on Kendall's W statistics is considered. A formal description of the algorithm and assessing of the computational complexity are presented. The results of implementation of proposed algorithm for data of manufacturing process are shown. Comparison of the results obtained with the results of calculating Pearson and Spearman correlations for the same data is carried out. © 2021 IEEE.

关键词： Manufacture

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Research and analysis of a two-circuit and three-circuit system for automatic regulation of the thickness of a reversing cold rolling mill, PJSC 'Novolipetsk Metallurgical Plant' 18

Research and analysis of a two-circuit and three-circuit sys...

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18th International Scientific Technical Conference Alternating Current Electric Drives, ACED 2021

作者： Sinyukova, Tatyana Levin, Pavel Sinyukov, Alexey Automation and computer science faculty Lipetsk State Technical University Lipetsk Russia

ISBN: (纸本)9781665412483

Single-stand cold rolling mills are units involved in the complex technological process of manufacturing finished products of a metallurgical enterprise. The quality and demand for the finished product directly depends on the high-quality work of the mill. The control system applied at the mill directly affects the accuracy of its work. The study of the existing control system is aimed at identifying its shortcomings. The facility uses a two-circuit control system, the improvement of which is proposed by introducing a third circuit operating on the basis of data on the deviation in the deformation zone. © 2021 IEEE.

关键词： Cold rolling

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Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions

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Frontiers in Heat and Mass Transfer 2024年第2期22卷 537-556页

作者： Munirul Hasan Mustafizur Rahman Mohammad Saiful Islam Wong Hung Chan Yasser M.Alginahi Muhammad Nomani Kabir Suraya Abu Bakar Devarajan Ramasamy Faculty of Computing Universiti Malaysia Pahang Al-Sultan AbdullahPekanPahang26600Malaysia Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekanPahang26600Malaysia Department of Management and Information Technology St.Francis College179 Livingston StBrooklynNY11201USA Dell Technologies Data Analyticsand AutomationBukit TengahBukit Mertajam14000Malaysia Department of Computer Science Adrian CollegeAdrianMIUSA Department of Computer Science&Engineering United International University BangladeshUnited CityMadani AvenueBaddaDhaka1212Bangladesh

A vehicle engine cooling system is of utmost importance to ensure that the engine operates in a safe temperature *** most radiators that are used to cool an engine,water serves as a cooling *** performance of a radiator in terms of heat transmission is significantly influenced by the incorporation of nanoparticles into the cooling *** and uniformity of nanoparticle distribution are the two major factors for the practical use of *** shape and size of nanoparticles also have a great impact on the performance of heat *** researchers are investigating the impact of nanoparticles on heat *** study aims to develop an artificial neural network(ANN)model for predicting the thermal conductivity of an ethylene glycol(EG)/waterbased crystalline nanocellulose(CNC)nanofluid for cooling internal combustion *** implementation of an artificial neural network considering different activation functions in the hidden layer is made to find the bestmodel for the cooling of an engine using the *** of the model with different activation functions in artificial neural networks are analyzed for different nanofluid concentrations and *** artificial neural networks,Levenberg–Marquardt is an optimization approach used with activation functions,including Tansig and Logsig functions in the training *** findings of each training,testing,and validation phase are presented to demonstrate the network that provides the highest level of *** best result was obtained with Tansig,which has a correlation of 0.99903 and an error of 3.7959×10^(–8).It has also been noticed that the Logsig function can also be a good model due to its correlation of 0.99890 and an error of 4.9218×10^(–8).Thus ourANNwith Tansig and Logsig functions demonstrates a high correlation between the actual output and the predicted output.

关键词： Artificial neural network activation function thermal conductivity nanocellulose

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