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检索条件"机构=Electrical Engineering PhD Program of the Faculty of Engineering"

共 1444 条记录，以下是11-20 订阅

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Optimal Planning of Integrating Distributed Generations in Unbalanced Distribution Network by Using Particle Swarm Optimization 11

Optimal Planning of Integrating Distributed Generations in U...

引用

11th International Conference on electrical and Electronics engineering, ICEEE 2024

作者： Chumwong, Kitipong Premrudeepreechacharn, Suttichai Chiang Mai University Graduate Program in Electrical Engineering Faculty of Engineering Dept. of Electrical Engineering Chiang Mai Thailand Provincial Electricity Authority Bangkok Thailand Chiang Mai University Faculty of Engineering Dept. of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9798350362541

In recent years, Distributed Generation (DG) have been a high penetration rate in the distribution network. Planning the active power of electricity from DG can save energy from grid side and reduce power losses in the unbalanced distribution system by considering the capacity to generate electricity. This research was aimed to appropriately generate the active power of DG for managing the energy on grid side and enable distributed system operators (DSO) can forecast production capabilities, maintain the grid balancing, and ensuring the stability of the distribution system. Particle Swarm Optimization (PSO) algorithm was implemented in MATLAB for optimal active power for each DG using Peer-to-Peer (P2P) communication with DIgSILENT for power flow analysis by shared data via comma-separated values file. Additionally, specifying equality and inequality constraint were applied. The results indicated that the active power of DG who is injected to the grid effect to the total power loss, voltage deviation, and power flow direction. In conclusion, the DSO can use them as the considerate guideline for issuing commands to adjust the increase or decrease in the production capacity of DG within reliability and security of the distributed system. © 2024 IEEE.

关键词： Power distribution planning

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Multi-Step-Ahead Prediction of User Movement on 5G Networks Using the Long Short-Term Memory Method 18

Multi-Step-Ahead Prediction of User Movement on 5G Networks ...

引用

18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Timoteo, Adriel Benyamin, Fabian Rafinanda Anargyarahman, Naufal Bhanu Iskandar Yuliana, Hajiar School of Electrical Engineering and Informatics Telecommunications Engineering Program Bandung Institute of Technology Bandung Indonesia Jenderal Achmad Yani University Faculty of Engineering Department of Electrical Engineering Cimahi Indonesia

ISBN: (纸本)9798331527686

Since the initial launch of 5G networks in 2018, 5G technology has rapidly expanded to cover about 40% of the world's population, offering higher bandwidth, faster connectivity, and lower latency than 4G. However, due to its higher frequency operation, 5G necessitates more frequent handovers, making efficient handover performance crucial. This research focuses on enhancing handover efficiency by predicting user movement using Long Short-Term Memory (LSTM) models for multi-step-ahead prediction. The model created will utilize 60 seconds of historical data to predict 10 seconds ahead, with a target to achieve an average prediction accuracy of less than 20 meters with a latency under 100 ms. The study employs TensorFlow for model training, leveraging the Grab-Posisi dataset, and utilizes Plotly and TensorBoard for result visualization. Six model variations were trained, with the 16-unit model trained for 3106 epochs performing best, achieving 16.99 meters accuracy and 31 ms latency. The findings suggest that LSTM is effective for predicting user movement in 5G networks, with potential accuracy improvements through extended training epochs. © 2024 IEEE.

关键词： Prediction models

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ARCH: Automatic Roaming-contract Handler for Seamless 6G System to Provide Trusted and Highly Available Network Access 23

ARCH: Automatic Roaming-contract Handler for Seamless 6G Sys...

引用

29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023

作者： Tenn, Kíng-Pîng Ho, Po-Han Chen, Hong-Yen Lin, Tsung-Nan Department of Electrical Engineering PhD Program in Cybersecurity National Taiwan University Taipei60005429 Taiwan

ISBN: (纸本)9781450399906

It is expected to be pervasive sensors to integrate physical and digital world. Low-latency and wide-covering networks are hence urged, which lead to costly infrastructure. We are proposing ARCH based on smart contract and Self-sovereign Identity (SSI), to provide telecoms a trusted and transparent multilateral platform sharing their infrastructure to decrease the deployment and agency cost, and carbon emission. © 2023 Owner/Author(s).

关键词： Smart contract

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Comparison of 2L and 3L-NPC Power Converter-Based a Level-2 Isolated Off-Board Charger

Comparison of 2L and 3L-NPC Power Converter-Based a Level-2 ...

引用

2023 IEEE International Conference on electrical, Computer and Energy Technologies, ICECET 2023

作者： Thanakam, Thidarat Kumsuwan, Yuttana Graduate Program in Electrical Engineering Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9798350327816

This paper presents an off-board charger system for any electric vehicle based on a single-stage power converter operation that performs as a three-phase pulse width modulation rectifier. To enhance the safety issue by itself, a step-down transformer with galvanic isolation is added. Additionally, the off-board charger system allows bidirectional power flow in both grid-to-vehicle (G2V) and vehicle-to-grid operations. To analyze this system, only G2V operation is shown by comparing a two-level power converter charger with a three-level neutral point clamped power converter charger. In light of its controller, the off-board charger is designed to charge a battery in constant current and constant voltage mode in compliance with Level 2 of charging power. Based on this controller, it can support grid power quality under a unity power factor. Simulation-based verification is conducted on a maximum power rating of 22 kW to claim the performance of steady-state operation and dynamic operation. © 2023 IEEE.

关键词： Electric vehicles galvanic isolation off-board charger three-level neutral point clamped power converter two-level power converter

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Control of Three-Level PWM Inverter-Fed Induction Motor Drives

Control of Three-Level PWM Inverter-Fed Induction Motor Driv...

引用

2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023

作者： Mueangngoen, Sutthimat Jarutus, Neerakorn Kumsuwan, Yuttana Chiang Mai University Graduate Program in Electrical Engineering Department of Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9798350314274

This paper presents the control of three-level PWM committed to a three-level twelve-switch inverter-fed induction motor drive. The proposed control is totally capable of extracting the maximum DC utilization with the classical continuous and discontinuous PWM. Moreover, in the light of the multi-level inherency, the low switching frequency is attractive to this application to avoid the high power losses, while it can maintain the stability of the operation. Regardless of the single or double carrier waves, optimized switching states associated with the proposed logical operation part, which is responsible for obtaining the multi-level characteristic of the inverter, are also proposed. Importantly, through the MATLAB/Simulink program, the steady-state and dynamic response of the high-performance drive with the classically indirect vector control are definitely investigated to confirm the effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Pulse width modulation

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On-Board Integrated Charger Based on Open-End Winding AC Machine

On-Board Integrated Charger Based on Open-End Winding AC Mac...

引用

2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023

作者： Thanakam, Thidarat Jarutus, Neerakorn Kumsuwan, Yuttana Chiang Mai University Graduate Program in Electrical Engineering Department of Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9798350314274

This paper presents an on-board integrated charger for electric vehicles (EVs) based on an open-end winding AC machine. To reduce weight, volume, and costs, including additional space area in EVs, the main component of the traction system is utilized as a part of the charger system, i.e., the wound rotor open-end winding AC machine fed by a dual converter with a single battery source. In charging operation, the rotor winding side of the AC machine is at standstill and reconfigured through magnetic contactors to interface with the three-phase utility grid, whereas the stator winding side is still connected to the converters. It performs as a transformer isolated by itself. On the other hand, the rotor windings are shorted together for the driving operation. Besides, the charger system assists the stability of the utility grid by consuming constant power, absorbing maximum power rated at 22 kW. To enhance excellent control, the modulation strategy of the dual converter is determined by means of different phase angles of 120° As a result, the differential-mode voltage problem is suppressed. The simulation results are validated to confirm the performance of the proposed system. © 2023 IEEE.

关键词： Winding

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Availability of Hydroelectric Generating Units based on the Maintenance Schedule

Availability of Hydroelectric Generating Units based on the ...

引用

2023 International Conference on Electromechanical and Energy Systems, SIELMEN 2023

作者： Ilisescu, Ionut Nemes, Ciprian Mircea Baiceanu, Florin Constantin PhD Graduate School of Faculty of Electrical Engineering 'Gheorghe Asachi' Technical University Iasi Romania 'Gheorghe Asachi' Technical University Faculty of Electrical Engineering Iasi Romania

ISBN: (纸本)9798350315240

The paper uses the technique called 'frequency and duration', a continuous-Time Markov chain, for evaluation of availability and reliability indicators of a hydroelectric power station using the operational data spanning 12 years (2010 ÷2021). The availability and reliability of individual units and for the entire power station are evaluated using failure rate λ, repair rate μ, Mean Time To Repair, Mean Time Between Failures, Mean Time To Failure, state probability, state frequency and departure rate. © 2023 IEEE.

关键词： Corrective maintenance

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Application of the K-Medoids Clustering Model and Borda Decision Group in Viewing Flood Area Groupings in North Aceh Regency

Application of the K-Medoids Clustering Model and Borda Deci...

引用

2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Early Detection of Heart Rate Conditions in Autistic Children Using IoT-Based Systems 4

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

引用

4th International Conference on electrical engineering and Computer Science, ICECOS 2024

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

ISBN: (纸本)9798350368253

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. © 2024 IEEE.

关键词： Butterworth filters

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Early Diagnosis of Osteoporosis: An Artificial Intelligence-Based Framework 7

Early Diagnosis of Osteoporosis: An Artificial Intelligence-...

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7th International Conference on Advances in Biomedical engineering, ICABME 2023

作者： Zaylaa, Amira J. Daher, Alaa Ayache, Mohammad Omeirat, Niveen Mahmoud, Razane Hawili, Bader Abou Beirut Arab University Biomedical Engineering Laboratory Biomedical Engineering Program Electrical and Computer Engineering Faculty of Engineering Lebanon

ISBN: (纸本)9798350325850

Osteoporosis is a common disease characterized by low bone density and structural deterioration of bone tissue. For a successful course of treatment and fracture avoidance, early diagnosis of this disease is essential. The aim was to provide a novel method for osteoporosis prediction using Artificial Intelligence (AI)-based framework. The purpose was to predict the likelihood of osteoporosis based on the Bone Mineral Density (BMD), along with other characteristics such as age, weight, height, gender, and Body Mass Index (BMI) extracted from medical reports and images collected from a comprehensive medical center in Lebanon. Three machine-learning algorithms were implemented and tested, Logistic Regression (LR), Support Vector Machines (SVM), and Decision Trees (DT). Variety of quantitative statistical metrics were used to evaluate the performance of our framework, upon training and testing our algorithms. The metrics that were employed to evaluate our results included accuracy, precision, sensitivity, and F-score, in addition to the Receiver Operating Characteristic (ROC) Curve and the Area Under the Curve (AUC). Experimental Results demonstrated that both the SVM and LR algorithms achieved the highest accuracy of detection of osteoporosis as compared to existing algorithms applied in this field, with an accuracy of 89%. The sensitivity of diagnosis obtained was 98% by LR and 97% by SVM and surpassed the sensitivity obtained by DT. As such LR showed the best performance. The output of the algorithms could help medical doctors assess patients automatically. These findings demonstrated the potential of AI in osteoporosis prediction and thus prevention, highlighting the significance of early diagnosis. Thereby as a future prospect, choosing carefully the framework is crucial and additional algorithms have to be considered and tested. © 2023 IEEE.

关键词： Decision trees

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