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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Kiresova, Simona Guzan, Milan Sobota, Branislav Melnykov, Viacheslav Yatsiuk, Rostyslav Peryvertailo, Bohdan Technical University of Košice Dept. of Theoretical and Industrial Electrical Engineering Košice Slovakia Technical University of Košice Dept. of Computers and Informatics Košice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine National University Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi Kremenchuk Ukraine

ISBN: (纸本)9798350359787

This paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. The application can in principle be effectively used in any field of data visualization. The architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. The application is user tested and the paper documents their first experiences using the mobile application. © 2023 IEEE.

关键词： Visualization

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Computing Challenges of UAV Networks: A Comprehensive Survey

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Computers, Materials & Continua 2024年第11期81卷 1999-2051页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Xianxuan Lin Farman Ali Ahmad Ali AlZubi School of Computer Science&Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhou310018China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science Community CollegeKing Saud UniversityRiyadh11495Saudi Arabia

Devices and networks constantly upgrade,leading to rapid technological ***-dimensional(3D)point cloud transmission plays a crucial role in aerial computing terminology,facilitating information *** network types,including sensor networks and 5G mobile networks,support this ***,Flying Ad hoc Networks(FANETs)utilize Unmanned Aerial Vehicles(UAVs)as nodes,operating in a 3D environment with Six Degrees of Freedom(6DoF).This study comprehensively surveys UAV networks,focusing on models for Light Detection and Ranging(LiDAR)3D point cloud compression/*** topics covered include autonomous navigation,challenges in video streaming infrastructure,motivations for Quality of Experience(QoE)enhancement,and avenues for future ***,the paper conducts an extensive review of UAVs,encompassing current wireless technologies,applications across various sectors,routing protocols,design considerations,security measures,blockchain applications in UAVs,contributions to healthcare systems,and integration with the Internet of Things(IoT),Artificial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL).Furthermore,the paper thoroughly discusses the core contributions of LiDAR 3D point clouds in UAV systems and their future prediction along with mobility *** also explores the prospects of UAV systems and presents state-of-the-art solutions.

关键词： Autonomous vehicles UAV systems UAV transmission UAV in healthcare future of UAV system security measures

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Learning control laws in simulated environments for motion gestures of humanoid robots

Learning control laws in simulated environments for motion g...

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International Conference on control Systems and Computer Science (CSCS)

作者： Andrei Mateescu Ioana-Livia Stefan Dragos Constantin Popescu Ioan Stefan Sacala Silviu Raileanu Automatic Control and Systems Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Splaiul Independentei No. 313 Bucharest Romania Automation and Industrial Informatics Faculty of Automatic Control and Computers University Politehnica of Bucharest Splaiul Independentei No. 313 Bucharest Romania

This article presents a way to implement a collection of fitness moves on an iCub (Cognitive Universal Body) robot, whose objective is to act as a fitness instructor and interact with humans. Due to the advantages of a simulation medium, the robot is simulated in the Gazebo simulator, on The Construct online platform. The control is done using Robot Operating System (ROS) with PID controllers for the robot joints, with the proportional, integral and derivative parameters tuned using a Genetic Algorithm. The scripts for the collection of moves and the algorithm used to tune the PID controllers are written in Python.

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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Multi-label transfer learning for identifying lung diseases using chest X-rays 2

Multi-label transfer learning for identifying lung diseases ...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： El-Fiky, Azza Shouman, Marwa Ahmed Hamada, Salwa El-Sayed, Ayman Karar, Mohamed Esmail Electronics Research Institute Department of Informatics Cairo Egypt Menoufia University Faculty of Electronic Engineering Department of Computer Science and Engineering Minuf Egypt Menoufia University Faculty of Electronic Engineering Dept. Industrial Electronics and Control Engineering Minuf Egypt

ISBN: (纸本)9781665418423

Chest radiography presents one of the main medical imaging modalities for diagnosing lung diseases. To assist radiologists during interventional procedures, this paper aims at proposing a transfer learning-based classifier to automatically identify 14 different thoracic diseases in Chest X-ray (CXR) images. The proposed method is relied on deep residual neural networks with 50 layers (ResNet-50) to accomplish the diagnostic task of many chest diseases. In this study, a public dataset of 112, 120 frontal radiograph images for Chest X-ray has been used for validating the proposed deep learning classifier. It achieved the best performance of multi-label classification of normal and 14 different lung diseases with an average area under curve (AUC) of 0.911 and F1-score of 0.66. This study demonstrated that the proposed ResNet-50 classifier as a transfer learning model outperforms other relevant methods in the previous studies for automatic multi-label classification of chest X-rays. © 2021 IEEE.

关键词： Computer aided diagnosis

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New control Method for Multi-phase Buck DC-DC Converters Used with Photovoltaic Panels

New Control Method for Multi-phase Buck DC-DC Converters Use...

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Dobroslav Kovac Viacheslav Melnykov Dept. of Theoretical and Industrial Electrical Engineering Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice Slovak Republic Institute of Electromechanics Energy Saving and Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine

The paper deals with a new algorithm for controlling a multi-phase buck DC-DC converter. The principle of its control is explained in detail using a flowchart. It is based on the continuous change of the converter topology using the number of its currently controlled phases depending on the size of the input power. In connection with this, its microprocessor control is also mentioned. The whole issue is explained on the design, simulation and measurement of a laboratory sample of a four-phase buck converter.

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Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications

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IFAC-PapersOnLine 2023年第2期56卷 5233-5239页

作者： Dániel Horváth Kristóf Bocsi Gábor Erdős Zoltán Istenes Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Eőtvős Loránd Research Network Budapest Hungary CoLocation Center for Academic and Industrial Cooperation Eőtvős Loránd University Budapest Hungary Department of Manufacturing Science and Engineering Budapest University of Technology and Economics Budapest Hungary

Adaptive robotics plays an essential role in achieving truly co-creative cyber physical systems. In robotic manipulation tasks, one of the biggest challenges is to estimate the pose of given workpieces. Even though the recent deep-learning-based models show promising results, they require an immense dataset for training. In this paper, two vision-based, multi-object grasp pose estimation models (MOGPE), the MOGPE Real-Time and the MOGPE High-Precision are proposed. Furthermore, a sim2real method based on domain randomization to diminish the reality gap and overcome the data shortage. Our methods yielded an 80% and a 96.67% success rate in a real-world robotic pick-and-place experiment, with the MOGPE Real-Time and the MOGPE High-Precision model respectively. Our framework provides an industrial tool for fast data generation and model training and requires minimal domain-specific data.

关键词： adaptive robotics robot vision sim2real knowledge transfer smart manufacturing cyber physical production systems

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Simulation and Laboratory Model of Induction Heating in COMSOL Multiphysics 20

Simulation and Laboratory Model of Induction Heating in COMS...

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20th IEEE International Conference on Modern Electrical and Energy Systems, MEES 2021

作者： Kovac, Dobroslav Melnykov, Viacheslav Technical University of Kosice Faculty of Electrical Engineering and Informatics Dept. of Theoretical and Industrial Electrical Engineering Kosice Slovakia Energy Saving and Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Kremenchuk Ukraine

ISBN: (纸本)9781665423663

the phenomenon of induction heating is a very energy efficient way of heating bodies. However, it depends on various factors, making the problem highly nonlinear. Mathematical analysis of this problem is in most cases very complex and is reduced to simple cases. Further knowledge of induction heating systems is gained in production environments, but these trial and error procedures are long and expensive. Another approach to reduce the above disadvantages is numerical models of the induction heating problem. This paper deals with a simulation model of the induction heating problem. A simulation model of the induction heating system in the COMSOL Multiphysics program is created. Equivalent inductance and equivalent resistance of the induction coil and workpiece connection during the heating and temperature change process are obtained for different parameters of the alternating current flowing through the induction coil. The model includes nonlinear electromagnetic and thermal properties of the workpiece material. The simulation model provides basic information about the processes taking place in the heated material. To verify the simulation model, experimental measurements are performed using the designed and implemented power converter. © 2021 IEEE.

关键词： Multiphysics

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Laboratory Model of an Electric Vehicle Charger Based on the Principle of Energy Transfer by Air 20

Laboratory Model of an Electric Vehicle Charger Based on the...

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20th IEEE International Conference on Modern Electrical and Energy Systems, MEES 2021

作者： Kovacova, Irena Melnykov, Viacheslav Technical University of Kosice Faculty of Electrical Engineering and Informatics Dept. of Theoretical and Industrial Electrical Engineering Kosice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Institute of Electromechanics Energy Saving and Control Systems Kremenchuk Ukraine

ISBN: (纸本)9781665423663

wireless power transmission has been known for over a hundred years and is a method of transmitting electricity over long distances without the use of a conductive medium. Due to the lack of a conductive element, the main disadvantage of this system is its low efficiency. This paper presents an analysis of this system for an electric vehicle. A simulation model created in COMSOL Multiphysics is presented. The two coils are placed in close proximity and the theoretical efficiency of energy transfer between the coils is analyzed. A laboratory model of such a system is developed for a radio controlled (RC) car model. The experimental measurements are compared with the results of the simulation and summarize the necessary steps to be taken in designing such a system. © 2021 IEEE.

关键词： Energy transfer

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Integrated Energy-Efficient Distributed Link Stability Algorithm for UAV Networks

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Computers, Materials & Continua 2024年第11期81卷 2357-2394页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Razaz Waheeb Attar Farman Ali Ahmed Alhomoud Babar Shah School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Information Engineering Zhejiang Gongshang UniversityHangzhou310018China Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Applied AI School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science College of ScienceNorthern Border UniversityArar91431Saudi Arabia College of Technological Innovation Zayed UniversityDubai19282United Arab Emirates

Ad hoc networks offer promising applications due to their ease of use,installation,and deployment,as they do not require a centralized control *** these networks,nodes function as senders,receivers,and *** such network is the Flying Ad hoc Network(FANET),where nodes operate in three dimensions(3D)using Unmanned Aerial Vehicles(UAVs)that are remotely *** the integration of the Internet of Things(IoT),these nodes form an IoT-enabled network called the Internet of UAVs(IoU).However,the airborne nodes in FANET consume high energy due to their payloads and low-power *** optimal routing approach for communication is essential to address the problem of energy consumption and ensure energy-efficient data transmission in *** paper proposes a novel energy-efficient routing protocol named the Integrated Energy-Efficient Distributed Link Stability Algorithm(IEE-DLSA),featuring a relay mechanism to provide optimal routing with energy efficiency in *** energy efficiency of IEE-DLSA is enhanced using the Red-Black(R-B)tree to ensure the fairness of advanced energy-efficient *** link stability,transmission loss avoidance,delay awareness with defined threshold metrics,and improving the overall performance of the proposed protocol are the core functionalities of *** simulations demonstrate that the proposed protocol performs well compared to traditional FANET routing *** evaluation metrics considered in this study include network delay,packet delivery ratio,network throughput,transmission loss,network stability,and energy consumption.

关键词： FANET UAV internet of UAVs relay mechanism energy consumption routing IEE-DLSA

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