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Analysis of the Effect of Capacitors on the Voltage Generated by a 3-Phase Induction Generator

Analysis of the Effect of Capacitors on the Voltage Generate...

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2022 International Conference on Electrical engineering and Informatics, ICELTICs 2022

作者： Syukri, Mahdi Syuhada, Ahmad Tarmizi Suriadi Ramadhani, Satika Marwan Affan, Muzailin Yanis, Muhammad Universitas Syiah Kuala Doctoral Program School of Engineering Post Graduate Program Banda Aceh23111 Indonesia Universitas Syiah Kuala Dept. of Mechanical and Industrial Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Electrical and Computer Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Geophisic Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Informatics Fmipa Banda Aceh Indonesia

ISBN: (数字)9781665487665

ISBN: (纸本)9781665487665

Induction motors can be operated as induction generators when additional capacitors are added to the stator terminals. Capacitors connected to induction generators can generate voltage and can provide reactive power. The advantage of induction generators can be used in small-scale plants such as micro-hydro power plants. However, the weakness of induction generators are weak voltage regulation and dependence on capacitors to generate voltage. This study conducted a test to see how the effect of capacitor capacity on the voltage generated by a induction generator when serving multiple incandescent lamp loads. The capacitor used is connected with a wye connection because the Wye connection can generate a higher voltage than the Delta connection circuit. This research has been successfully carried out with variations in capacitor values, namely 45 F, 60 F, and 75 F and variations in lamp load values, namely 5W, 15W, 25W, 40W and 60W. Based on the results of the study, the induction generators uses a 45 F capacitor with a load of 5 W, the terminal voltage for line to line is 374 V. However, when using a 75 F capacitor with a 60W load, the terminal voltage for line to line is 239 V. The terminals voltage of the induction generators can also be kept at a constant 380 V by providing varying capacitor values even though it serves varying loads. © 2022 IEEE.

关键词： Asynchronous generators

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Comparative Reliability Analysis of a Microgrid versus Zonal Nanogrids

Comparative Reliability Analysis of a Microgrid versus Zonal...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Gabrielle Smith Douglas L. Van Bossuyt Giovanna Oriti Mark Vygoder Richard Alves Systems Engineering Dept. Naval Postgraduate School Monterey CA USA Electrical and Computer Engineering Dept. Naval Postgraduate School Monterey CA USA Electrical Engineering Dept. University of Wisconsin Milwaukee Milwaukee WI USA

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

Nanogrids are small-scale power distribution systems that can operate independently or integrated with the grid like microgrids. These nanogrids can interconnect in a network and have built-in redundancy. This paper investigates the potential of bringing zonal shipboard power ashore with zonal nanogrids to enhance energy reliability at industrial facilities which addresses the limitations of current microgrid systems and emergency backup generators. A reliability analysis is conducted by using the reliability block diagram method to compare microgrid and zonal nanogrid configurations with various control architectures to identify the most reliable solution. The two common types of control strategies are centralized and decentralized. The results indicate that decentralized zonal nanogrids offer higher reliability over a 14-day grid power outage. Furthermore, a sensitivity analysis is conducted to identify the most impactful component in the reliability of zonal nanogrids which is the power transmission lines and fiber optic cables.

关键词： Optical fibers Power transmission lines Sensitivity analysis Redundancy Power distribution Microgrids Reliability engineering Industrial facilities Generators Power system reliability

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QUBO Coefficient Dynamic Ratio Shrinking Method for Quantum Annealers

QUBO Coefficient Dynamic Ratio Shrinking Method for Quantum ...

引用

Quantum Computing and engineering (QCE), IEEE International Conference on

作者： Yuta Yachi Masashi Tawada Nozomu Togawa Dept. of Computer Science and Communications Engineering Waseda University Green Computing Systems Research Organization Waseda University

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

Quantum annealers search for optimal solutions to a combinatorial optimization problem by solving a quadratic unconstrained binary optimization (QUBO) model. Due to integrated control errors (ICEs), input QUBO coefficients are temporarily erroneous while a quantum annealer is running. Previous studies indicate that ICEs prevent quantum annealer from accurately running to obtain an optimal solution. This paper proposes a new method for reducing the ICE-induced noise effect. After a QUBO is input to a quantum annealer, the range of the QUBO coefficients is scaled within the hardware limitation. At that time, if the range is too large, the lowest absolute value (LAV) and near-LAV coefficients of the QUBO become too much small after scaling and these small coefficients can be more sensitive to the noise. To reduce the noise effect, our proposed method shrinks the range of QUBO coefficients by splitting it into multiple QUBOs. In splitting, LAV and near-LAV coefficients are left only in one QUBO, and the other coefficients are equally split so that each QUBO has a shrunk range. Finally, comparing the (quasi- )optimal solutions obtained from all split QUBOs, we obtain a solution closer to the original optimal solution. Experimental evaluation results show that the proposed method obtains more near-optimal solutions than the QUBO input as-is for all benchmarks.

关键词： Annealing Noise Benchmark testing Quantum annealing Search problems Ice Hardware Optimization Centralized control

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MoFLeuR: Motion-based Federated Learning Gesture Recognition

MoFLeuR: Motion-based Federated Learning Gesture Recognition

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IEEE International Conference on Human-Machine systems

作者： S. Jamal Seyedmohammadi S. Mohammad Sheikholeslami Jamshid Abouei Arash Mohammadi Konstantinos N. Plataniotis Inst. of Information Systems Engineering Concordia University Montreal Canada Dept. of Electrical and computer Engineering University of Toronto Toronto Canada Dept. of Electrical Engineering Yazd University Yazd Iran

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

Most of the recent works on Human Gesture Recognition (HGR) using motion data rely on gathering a dataset, that faces two major challenges: $a)$ the datasets are originally stored on the smart devices at the end-users, and gathering them in one place is not feasible due to communication limitations, and $b)$ clients are reluctant to share their private data with a central server due to privacy concerns. In this paper, we address these issues and propose a privacy-preserving framework based on Federated Learning (FL) for HGR using motion data. Furthermore, we consider data heterogeneity which have destructive effects on the performance of the global model. Accordingly, we propose a communication and computation-efficient client selection method, mitigating the impact of data heterogeneity in the FL process. In the proposed framework, clients are not requested to share sensitive information about their local datasets with the edge server. Simulation results show that the proposed MoFLeuR algorithm improves the performance of the global model in the presence of different degrees of data heterogeneity, and it outperforms the baseline algorithms in terms of different metrics, namely accuracy, convergence speed, and communication and computation efficiency.

关键词： Performance evaluation Federated learning Inertial sensors Computational modeling Simulation Human-machine systems Gesture recognition

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Evaluation of RF-EMF Exposure for sub-6GHz 5G NR Massive MIMO Base Station 6

Evaluation of RF-EMF Exposure for sub-6GHz 5G NR Massive MIM...

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6th IEEE International Symposium on Telecommunication Technologies, ISTT 2022

作者： Sali, Aduwati Wali, Sangin Qahtan Osman, Anwar Faizd Universiti Putra Malaysia Systems Engineering Faculty of Engineering WiPNET Research Centre Dept. of Computer and Communication Selangor Malaysia Pat Square Rohde & Schwarz Selangor Malaysia

ISBN: (数字)9781665489423

ISBN: (纸本)9781665489423

The 5G network is intended to accommodate a significant quantity of mobile data traffic and a great number of wireless connections. It improves cost and power consumption;it offers ultra-low latency and ultra-high dependability to enable new services in various sectors. However, the general public is concerned about the possible health dangers linked with 5G equipment's Radio Frequency (RF) radiation, and numerous localities are actively lobbying to prevent 5G implementation. This research measures the maximum exposure emitted by a 5G base station operating on 3.5 GHz. Considering the transmitted power changes over time with data traffic, the analysis is based on a code selective method. Measurements were conducted at two different distances and three different times to investigate the impacts of distance and time on the level of RF-EMF radiation. The maximum radiation from the base station is 11.69V/m, far less than the accepted limit by the ICNIRP standard. © 2022 IEEE.

关键词： Base stations

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Novel PM-Assisted Three-Layer Sub-Harmonic Synchronous Machine

Novel PM-Assisted Three-Layer Sub-Harmonic Synchronous Machi...

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International Review of Progress in Applied Computational Electromagnetics (ACES)

作者： S M Sajjad Hossain Rafin Qasim Ali Osama A. Mohammed Dept. of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami Florida USA Dept. of Electrical Engineering Sukkur IBA University Sukkur Pakistan

ISBN: (数字)9781733509671

ISBN: (纸本)9798350362978

This paper presents a permanent magnet-assisted 3-layer sub-harmonic synchronous machine as a promising solution in the transportation sector. Through finite element analysis, the machine exhibits notable improvements over traditional machines, showcasing a 7.8% reduction in torque ripple and an 8.3% increase in average torque. Precise design parameters yield enhanced performance compared to five different synchronous machines. The incorporation of surface-mounted permanent magnets contributes to superior torque generation, making the machine a promising candidate for advancing in transportation applications.

关键词： Torque Windings Transportation Electromagnetic launching Motors Permanent magnets Topology

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Non-zero Coefficients Removing Method to Improve the Ising Machine Solving Performance

Non-zero Coefficients Removing Method to Improve the Ising M...

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Quantum Computing and engineering (QCE), IEEE International Conference on

作者： Kinya Iwata Masashi Tawada Nozomu Togawa Dept. of Computer Science and Communications Engineering Waseda University Green Computing Systems Research Organization Waseda University

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

The performance of an Ising machine in solving combinatorial optimization problems is significantly influenced by the energy landscape of an input quadratic unconstrained binary optimization (QUBO). Previous studies have shown that the number of non-zero terms in QUBO can control the energy landscape. In this paper, we propose a QUBO conversion method, which efficiently removes non-zero coefficient terms in QUBO to improve the solving performance of Ising machines. Our pro-posed method uses the removal ratio parameter, which defines the amount of removed non-zero terms, and efficiently removes the non-zero coefficient terms in QUBO. We confirm the effectiveness of the proposed method compared to the conventional method using the capacitated vehicle routing problem (CVRP) on an Ising machine. Experimental results demonstrate that our proposed method improves the path length in CVRP up to 17% compared to the conventional method.

关键词： Quantum computing Vehicle routing Optimization

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Analysis of the PV Energy Potential in the Bulgarian Danube River Region between Ruse and Silistra

Analysis of the PV Energy Potential in the Bulgarian Danube ...

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Communications, Information, Electronic and Energy systems (CIEES), International Conference on

作者： Katerina Gabrovska-Evstatieva Ivaylo Stoyanov Tsvetelina Kaneva Nikolay Valov Vladimir Tsankov Boris Evstatiev Nicolay Mihailov Dept. of Computer Science University of Ruse Ruse Bulgaria Dept. of Electric Power Engineering University of Ruse Ruse Bulgaria Dept. of Computer Systems and Technologies University of Ruse Ruse Bulgaria Dept. of Automation and Electronics University of Ruse Ruse Bulgaria

ISBN: (数字)9798350352863

ISBN: (纸本)9798350352870

The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed. The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed. The goal of the study is to assess and compare the photovoltaic energy potential in the central-eastern part of the Bulgarian Danube region between the cities of Ruse and Silistra. To achieve this the solar radiation and the temperature of the environment should be obtained and analyzed.

关键词： Photovoltaic systems Electric potential Temperature distribution Renewable energy sources Urban areas Rivers Solar radiation Thermal pollution

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Intelligent Accident Detection and Severity Analysis System for Enhanced Emergency Response

Intelligent Accident Detection and Severity Analysis System ...

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Computing and Data Science (ICCDS), International Conference on

作者： Harini P Chidambarathanu K Lalitha Ramachandran Dept. Computer Science and Business Systems R.M.K Engineering College Kavarapettai Dept. Science and Humanities R.M.K Engineering College Kavarapettai

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365344

Road accidents cause serious injuries and deaths worldwide. The previous year's Ministry of Road Transport and Highways Annual Report on Road Accidents in India showed that many road accidents were fatal. A large percentage of Indian deaths occur without rapid medical intervention or first assistance. Delays in reporting incidents to emergency services increased fatalities. A sophisticated method using deep learning and analytics to locate CCTV accidents, classify their severity, and speed up emergency response. Accident detection and analysis are efficient with cutting-edge technologies. The accident detection phase uses YOLOv7, a deep-learning object detection model, to evaluate CCTV footage in real time. A stratified K-fold deep neural network classifies accidents as major or minor based on collision severity. Real-time GPS tracking alerts ambulance drivers within three km of the accident using the mobile app. This expedites emergency response, lowering mortality by reducing the time between the accident and medical assistance.

关键词： Deep learning YOLO Road accidents Artificial neural networks Transforms Emergency services Real-time systems

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Early Detection of Heart Rate Conditions in Autistic Children Using IoT-Based systems

Early Detection of Heart Rate Conditions in Autistic Childre...

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International Conference on Electrical engineering and computer Science (ICECOS)

作者： Nizam Albar Melinda Melinda Yuwaldi Away dept. Electrical Engineering Master of Electrical Engineering Study Program Universitas Syiah Kuala Banda Aceh Indonesia dept. Electrical Engineering and Computer Engineering Faculty Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (数字)9798350368253

ISBN: (纸本)9798350368260

Early detection of heart rate conditions in autistic children is crucial for anticipating tantrum reactions and providing prompt medical intervention. Previous research designed a prototype for acquiring Electrocardiogram (ECG) signals using the AD8232 sensor, but it required a long time to identify heart rate conditions. This study aims to develop the previous prototype using Internet of Things (IoT) implementation to acquire and identify the heart rate conditions of autistic children in real time. The ECG signal data is analyzed using Butterworth Filter and Artificial Neural Network (ANN) integrated into Raspberry Pi and results are transmitted to the Blynk App. Testing over 20 minutes showed that in the first 10 minutes, the system identified a normal heart rate at 105.19 BPM with 67% accuracy, while in the second 10 minutes, the heart rate rose to 117.19 BPM with tantrum symptoms and 75% accuracy. This system helps medical personnel provide immediate intervention during tantrums.

关键词： Heart rate Pediatrics Accuracy Prototypes Artificial neural networks Electrocardiography Real-time systems Internet of Things Servers Testing

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