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5th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2023

作者： Zaripova, Alina D. Kazan State Power Engineering University Electrical Power Systems Department Kazan Russia

ISBN: (纸本)9798350399523

The thermographic evaluation method is widely uses in substations to detect electrical equipment and their faults. A lot of infrared images for each substation are analyzing by humans. To automate monitoring insulation, this paper proposes a convolutional neural network, which detects different supporting and suspending insulators from infrared images f. The technique may be used for online monitoring insulators in substations. The neural network model was tested on 2000 infrared images. Before testing the neural network, images were created from 900 infrared images of insulators belonging to 2 classes for training neural network using data augmentation methods. For evaluating the neural network model, were used statistical characteristics like metrics and loss functions to show minimizing and optimizing parameters of neural networks (weights) during the training. Results demonstrates that detection of support and suspended insulators reaches 98.81%. As a result, this proposed method with evaluated neural network can be used in monitoring systems to detect insulators before detecting their faults. © 2023 IEEE.

关键词： Convolution

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Using Metaheuristic OFA Algorithm for Service Placement in Fog Computing

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Computers, Materials & Continua 2023年第12期77卷 2881-2897页

作者： Riza Altunay Omer Faruk Bay Department of Information Systems Gazi UniversityAnkara06680Turkey Department of Computer Technologies Ondokuz Mayis UniversitySamsun55100Turkey Department of Electrical-Electronics Engineering Gazi UniversityAnkara06560Turkey

The use of fog computing in the Internet of Things(IoT)has emerged as a crucial solution,bringing cloud services closer to end users to process large amounts of data generated within the *** its advantages,the increasing task demands from IoT objects often overload fog devices with limited resources,resulting in system delays,high network usage,and increased energy *** of the major challenges in fog computing for IoT applications is the efficient deployment of services between fog *** address this challenge,we propose a novel Optimal Foraging Algorithm(OFA)for task placement on appropriate fog devices,taking into account the limited resources of each fog *** OFA algorithm optimizes task sharing between fog devices by evaluating incoming task requests based on their types and allocating the services to the most suitable fog *** our study,we compare the performance of the OFA algorithm with two other popular algorithms:Genetic Algorithm(GA)and Randomized Search Algorithm(RA).Through extensive simulation experiments,our findings demonstrate significant improvements achieved by the OFA ***,it leads to up to 39.06%reduction in energy consumption for the Elektroensefalografi(EEG)application,up to 25.86%decrease in CPU utilization for the Intelligent surveillance through distributed camera networks(DCNS)application,up to 57.94%reduction in network utilization,and up to 23.83%improvement in runtime,outperforming other *** a result,the proposed OFA algorithm enhances the system’s efficiency by effectively allocating incoming task requests to the appropriate fog devices,mitigating the challenges posed by resource limitations and contributing to a more optimized IoT ecosystem.

关键词： Internet of Things cloud computing fog computing

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Hybrid Switched-Inductor Switched-Capacitor High Step-Down Converter

Hybrid Switched-Inductor Switched-Capacitor High Step-Down C...

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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： Stala, Robert Bhatnagar, Pallavee Mondzik, Andrzej Waradzyn, Zbigniew Pirog, Stanislaw Folmer, Szymon Gupta, Krishna Kumar Agh University of Krakow Department of Power Electronics and Energy Control Systems Kraków Poland National Institute of Technical Teachers' Training and Research Department of Electrical and Electronics Engineering and Education Bhopal India Thapar Institute of Engineering and Technology Electrical and Instrumentation Engineering Department Patiala India

ISBN: (纸本)9798350364446

This paper presents a hybrid DC-DC converter composed of switch-mode DC-DC converters and switched-capacitor circuits. The system has continuous voltage regulation, low voltage stress across switches, low inductor current, low input and output current ripple values, and high frequency of the output capacitor voltage ripples. Operation of the converter, its efficiency and loss distribution in transistors are demonstrated in the paper. © 2024 IEEE.

关键词： Capacitor bank

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Chaotic Behavior of DC-DC Boost Converter by using Voltage Mode Control 4

Chaotic Behavior of DC-DC Boost Converter by using Voltage M...

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4th International Conference for Emerging Technology, INCET 2023

作者： Ganesh, Sandhu Valluru, Sudarshan K. Control of Dynamical Systems and Computation Laboratory Department of Electrical Engineering Delhi110042 India

ISBN: (纸本)9798350335750

This paper examines the Boost converter's chaotic behavior. A voltage mode controlled technique is being utilized to analyze the discrete-time mapping to determine the properties of the bifurcation that operate in a closed loop. By varying some parameters while holding others constant, the reference voltage and input voltage are used to examine the bifurcation diagram. It has been noted that the system becomes unstable and splits into two time-periodic systems, four time - periodic systems and then chaos takes over the system. These occurrences have been shown in the bifurcation diagram, therefore the converter's safe operating range can be determined and verified by using the time-domain waveforms and phase plots. © 2023 IEEE.

关键词： Boost converter

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Effects of using sinusoidal porous object(SPO)and perforated porous object(PPO)on the cooling performance of nano-enhanced multiple slot jet impingement for a conductive panel system

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Propulsion and Power Research 2024年第2期13卷 166-177页

作者： Fatih Selimefendigil Faiza Benabdallah Kaouther Ghachem Hind Albalawi Badr MAlshammari Lioua Kolsi Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl Ahsa 31982Saudi Arabia Department of Mechanical Engineering Celal Bayar UniversityManisa 45140Turkey Department of Industrial Engineering and Systems College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Physics College of SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Electrical Engineering College of EngineeringUniversity of Ha’ilHa’il City 81451Saudi Arabia Department of Mechanical Engineering College of EngineeringUniversity of Ha’ilHa’il City 81451Saudi Arabia

Cooling system design for thermal management of electronic equipment,batteries and photovoltaic(PV)modules is important for increasing the efficiency,safety operation,and long life span the *** the present study,two different cooling systems are proposed with nano-enhanced multiple impinging jets for a conductive *** present cooling systems can be used in electronic cooling and PV *** porous object(PPO)and sinusoidal porous object(SPO)are used in the jet cooling system.2D numerical analysis usingfinite volume method is conducted considering different values of permeability of the objects(Darcy number(Da)between 10^(-6) and 10^(-1)).When PPO is used in the cooling system,num-ber of cylinders(between 1 and 6),and size of the cylinders(between 0.015 and 0.075)are *** the case of using SPO,amplitude(between 0.1 and 2)and wave number(be-tween 1 and 12)are ***-water nanofluid with cylindrical shaped nanoparticles is used as the heat *** permeability is changed for PPO,the average temper-ature increases by roughly 3.89℃ for a single cylinder and drops by roughly 0.57℃ for a six-cylinder *** the size of the cylinder in the PPO case at highest permeability results in temperature drop of 5.3℃.When changing the number of cylinders,cooling rate varies by about 3.6%.Wave number of SPO is more influential on the cooling performance enhancement as compared to amplitude and permeability of the *** average surface temperature drops by 12.4℃ when the wave number is increased to *** compared to reference case of jet impingement cooling without porous object,using PPO and SPO along with the nanofluid result in temperature drop of 12.3℃ and 14.4℃.

关键词： Thermal management Jet impingement Perforated porous

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Personalized Federated Learning for Individual Consumer Load Forecasting

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CSEE Journal of Power and Energy systems 2023年第1期9卷 326-330页

作者： Yi Wang Ning Gao Gabriela Hug Department of Electrical and Electronic Engineering The University of Hong KongHong KongChinaare also with ETH ZurichZurichSwitzerland Power Systems Laboratory ETH Zurich8092 ZurichSwitzerland

Installation of smart meters enables electricity retailers or consumers to implement individual load forecasting for demand *** individual load forecasting model can be trained either on each consumer’s own smart meter data or the smart meter data of multiple *** former practice may suffer from overfitting if a complex model is trained because the dataset is limited;the latter practice cannot protect the privacy of individual *** paper tackles the dilemma by proposing a personalized federated approach for individual consumer load ***,a group of consumers first jointly train a federated forecasting model on the shared smart meter data pool,and then each consumer personalizes the federated forecasting model on their own *** case studies are conducted on an open dataset of 100 *** verify the proposed method can enhance forecasting accuracy by making full use of data from other consumers with privacy protection.

关键词： Federated learning load forecasting personalization privacy-preserving smart meter

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Optimization of String Efficiency Insulators for 33kV and 132kV Based on Modified Particle Swarm Optimization 6

Optimization of String Efficiency Insulators for 33kV and 13...

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6th IEEE International Conference and Workshop Obuda on electrical and Power engineering, CANDO-EPE 2023

作者： Kamoona, Mustafa A. Saleh, Ameer L. Szamel, Laszlo Mauricio, Juan Manuel University of Seville Department of Electrical Power Systems Maysan Iraq Budapest University of Technology and Economics Department of Electric Power Engineering Budapest Hungary University of Misan Department of Electrical Engineering Misan Iraq University of Seville Department of Electrical Power Systems Seville Spain

ISBN: (纸本)9798350328752

One of the key parts of overhead transmission lines that support and insulate the power transmission line is the string insulator discs. This need involves a meticulous design of string insulators for achieving high string efficiency, this is necessary for efficient power transmission. This paper has two aims, first improving and developing the efficiency of string insulators of overhead transmission lines 33kV and 132kV to be efficient, properly insulated and safe. Based on an optimum value of the capacitance (self-capacitance) which can be achieved via the proposed algorithm named Modified Particle Swarm Optimization (MPSO) technique which is the second aim of this paper. The MPSO algorithm tuned the self-capacitance (Cnew) as well as operating the model at the high efficiency of the string insulators with respect to its mechanical effectiveness. Moreover, analysis and evaluations of the systems (33kV and 132kV) as a classic model, proposed model and the MPSO have been carried out by MATLAB/Simulink R2022b environment. On the basis of the simulation findings, this paper produced a specific theoretical design for two transmission line systems 33kV and 132kV;where remarkable that the string efficiencies of 33kV and 132kV systems increased by 14.24% and 64.54% respectively. Also, compared the results between the proposed MPSO and conventional PSO. © 2023 IEEE.

关键词： Efficiency

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Modulation Bandwidth Study on SQW GaN LEDs for High-Speed Visible Light Communication 33

Modulation Bandwidth Study on SQW GaN LEDs for High-Speed Vi...

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33rd International Telecommunication Networks and Applications Conference, ITNAC 2023

作者： Faruki, Md Jahid Karmakar, Nemai Monash University Department of Electrical and Computer Systems Engineering MelbourneVIC3800 Australia

ISBN: (纸本)9798350317138

The modulation bandwidth of the Light Emitting Diode (LED) is an essential parameter for visible light communication systems. The crystal orientation of an LED plays an important role in determining the modulation bandwidth. This study has simulated five different crystal orientations-based GaN LEDs to realise the impact of crystal orientations on recombination rates, carrier lifetime, and modulation bandwidth to meet the industry requirements for high-speed visible light communication applications. © 2023 IEEE.

关键词： III-V semiconductors

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Consensus-based dispatch optimization of a microgrid considering meta-heuristic-based demand response scheduling and network packet loss characterization

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Energy and AI 2023年第1期11卷 71-89页

作者： Ali M.Jasim Basil H.Jasim Soheil Mohseni Alan C.Brent Electrical Engineering Department University of BasrahBasrah61001Iraq Department of Communications Engineering Iraq University CollegeBasrahIraq Sustainable Energy Systems Wellington Faculty of EngineeringVictoria University of WellingtonWellington6140New Zealand Department of Industrial Engineering and the Centre for Renewable and Sustainable Energy Studies Stellenbosch UniversityStellenbosch7600South Africa

The uncertainty inherent in power load forecasts represents a major factor in the mismatches between supply and demand in renewables-rich electricity networks, which consequently increases the energy bills and curtailed generation. As the transition to a power grid founded on the so-called grid-of-grids becomes more evident, the need for distributed control algorithms capable of handling computationally challenging problems in the energy sector does so as well. In this light, the consensus-based distributed algorithm has recently been shown to provide an effective platform for solving the complex energy management problem in microgrids. More specifically, in a microgrid context, the consensus-based distributed algorithm requires reliable information exchange with customers to achieve convergence. However, packet losses remain an important issue, which can potentially result in the failure of the overall system. In this setting, this paper introduces a novel method to effectively characterize such packet losses during information exchange between the customers and the microgrid operator, whilst solving the microgrid scheduling optimization problem for a multi-agent-based microgrid. More specifically, the proposed framework leverages the virulence optimization algorithm and the earth-worm optimization algorithm to optimally shift the energy consumption during peak periods to lower-priced off-peak hours. The effectiveness of the proposed method in minimizing the overall active power mismatches in the presence of packet losses has also been demonstrated based on benchmarking the results against the business-as-usual iterative scheduling algorithm. Also, the robustness of the overall meta-heuristic- and multi-agent-based method in producing optimal results is confirmed based on comparing the results obtained by several well-established meta-heuristic optimization algorithms, including the binary particle swarm optimization, the genetic algorithm, and the cuckoo search op

关键词： Demand-side management Optimal scheduling Microgrids Distribution generation Consensus algorithm Meta-heuristics

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Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

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Computers, Materials & Continua 2024年第10期81卷 271-307页

作者： Nahed Tawfik Heba M.Emara Walid El-Shafai Naglaa F.Soliman Abeer D.Algarni Fathi EAbd El-Samie Computers and Systems Department Electronics Research InstituteEl NozhaHuckstep Cairo12622Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins,including hereditary factors and various clinical *** stands as the deadliest type of cancer and a significant cause of cancer-related deaths *** diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately,leading to improved prognosis and higher survival *** significant increase in both the incidence and mortality rates of lung cancer,particularly its ranking as the second most prevalent cancer among women worldwide,underscores the need for comprehensive research into efficient screening *** in diagnostic techniques,particularly the use of computed tomography(CT)scans,have revolutionized the identification of lung *** scans are renowned for their ability to provide high-resolution images and are particularly effective in detecting small,calcified areas,crucial for identifying earlystage lung ***,there is growing interest in enhancing computer-aided detection(CAD)*** algorithms assist radiologists by reducing false-positive interpretations and improving the accuracy of early cancer *** study aims to enhance the effectiveness of CAD systems through various ***,the Contrast Limited Adaptive Histogram Equalization(CLAHE)algorithm is employed to preprocess CT scan images,thereby improving their visual *** refinement is achieved by integrating different optimization strategies with the CLAHE *** CutMix data augmentation technique is applied to boost the performance of the proposed model.A comparative analysis is conducted using deep learning architectures such as InceptionV3,ResNet101,Xception,and *** study evaluates the performance of these architectures in image classification tasks,both with and without the implementation of the CLAHE *** empirical findings of the study demonst

关键词： Lung cancer detection CLAHE algorithm optimization deep learning classification feature extraction healthcare applications

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