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A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids 50

A Distributed Consensus Approach for Power and Water Co-Gene...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： ALhaji, Ahmad Capezza, Skieler Chow, Mo-Yuen Dept. of Electrical and Computer Engineering North Carolina State University NC United States Dept. of Electrical and Computer Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665464543

A freshwater shortage can threaten the well-being of people and communities. With the growing global population and limited access to freshwater resources around the world, desalination has become an important technology for meeting the freshwater demand of communities. Desalination, the process of extracting freshwater from saline water, can be done in a centralized water processing plant or distributed at smaller desalination units. This paper investigates the integration of distributed desalination units within a microgrid for the dual optimization of water and energy generation by developing a distributed consensus algorithm to solve the economic dispatch problem for power and water co-generation. The simulation results validate the algorithm by finding the optimal generation capacity of each element in the microgrid while meeting the dynamic demands of power and water. © 2024 IEEE.

关键词： Microgrids

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Benchmark Study on YOLOv8 Variants in Localized Multiclass Fault Detection in PCBs 6

Benchmark Study on YOLOv8 Variants in Localized Multiclass F...

引用

6th International Conference on electrical engineering and Information and Communication technology, ICEEICT 2024

作者： Najib, Taeef Muntasir, Fahim Wasi, Wasif Al Wazed Sidetrek Dhaka Bangladesh Brac University Dept. of Computer Science and Engineering Dhaka Bangladesh Rajshahi University of Engineering and Technology Dept. of Electrical and Electronic Engineering Rajshahi Bangladesh

ISBN: (纸本)9798350385779

Detecting surface faults on PCBs is critical for ensuring device dependability and performance. Manual PCB inspection methods like X-ray imaging struggle to ensure quality control due to limitations in speed and defect characterization. However, advanced automated technologies, such as object detection models like YOLOv8, have emerged as a more efficient solution. This study focuses on evaluating the performance of different YOLOv8 variants in identifying and classifying various defects on PCBs. A benchmark of how each modification of the model performs detection and the factors behind were investigated here. It was determined that, YOLOv8 is sensitive to the amount of data it is being trained on, as the larger models tend to overlearn on smaller datasets. YOLOv8-m had the best performance, 97.1% precision, concerning the time taken and epoch count, over others. Large YOLOv8 variants, such as YOLOv8x, are also computationally expensive. The models were trained for 200 epochs with a patience value set at 50. Both increasing the number of data points and the resources will improve the performance and facilitate the overall training procedures. A significant gap in automated electronics production is addressed by this study: precise PCB fault localization for higher reliability of the product. © 2024 IEEE.

关键词： Fault detection

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An Extended State Observer Based Super-Twisting Sliding Mode Controller for Electrostatic Actuators 50

An Extended State Observer Based Super-Twisting Sliding Mode...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Trovato, Gianfranco Dong, Lili Mandali, Anusree Dept. Electrical and Computer Engineering Cleveland State University ClevelandOH United States Dept. Electrical and Computer Engineering Lafayette College EastonPA United States

ISBN: (纸本)9781665464543

This paper presents a super twisting sliding mode control (STSMC) system to stabilize a parallel-plate electrostatic actuator (ESA) and extend its operating range beyond the pull-in point. A voltage-controlled ESA is stable only within one-third of the full gap due to susceptibility to pull-in, nonlinearity, and sensitivity to electronic noise and disturbances. To address these challenges, an STSMC is developed to overcome the nonlinearity and instability, while an extended state observer (ESO) estimates the ESA's displacement. Implemented on a real ESA model in MATLAB/Simulink, the ESO-based STSMC increases the ESA's travel range to 99.9% of its full gap despite noise, disturbance, and parametric uncertainty. The system's stability is proved using a Lyapunov approach. © 2024 IEEE.

关键词： Sliding mode control

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Design and Experiment of a Four-Fingered Robotic Hand for T-FLoW 4.0 humanoid robot 25

Design and Experiment of a Four-Fingered Robotic Hand for T-...

引用

25th International Electronics Symposium, IES 2023

作者： Apriandy, Kevin Ilham Dewantara, Bima Sena Bayu Dewanto, Raden Sanggar Pramadihanto, Dadet Ryando, Catoer Dept. of Informatics and Computer Engineering Indonesia Dept. of Electrical Engineering Indonesia

ISBN: (纸本)9798350314731

In this research study, we present a novel design of a four-fingered robotic hand for T-FLoW 4.0 humanoid robot along with its experiments to validate its grasping performance. Our proposed robotic hand designed with four fingers and five Degree-of-Freedom (DoF), with a configuration of a thumb, index, middle, and ring fingers to remain within the criteria of an anthropomorphic type robot hand. Our hand is built with a modular design on each finger and its mechanism, allowing for easy assembly and achieving a compact hand result. Main controller Arduino Mega implement the system for grasping movement, and then PCA9685 PWM controller get the hand movement instructions from it and generates the required PWM signal for the servo motors. The process of manufacturing the hand involves 3D printing technology to produce hands with a realistic appearance, and use PLA filament material achieve lightweight, affordable, and easy-To-maintain outcomes. The grasping experimental results show that our proposed robotic hand could perform basic grasping movements on household objects. With the use of Cini's taxonomy of grasp as the hand functionality standard, we achieved a success rate of 8 out of 14 tests conducted. © 2023 IEEE.

关键词： Anthropomorphic robots

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Seagull Optimization Algorithm for Solving Economic Load Dispatch Problem 3

Seagull Optimization Algorithm for Solving Economic Load Dis...

引用

3rd International Conference on electrical, computer and Communication engineering, ECCE 2023

作者： Hanif, Mohammad Mohammad, Nur Biswas, Kallol Harun, Bijoy University of Connecticut Dept. of Electrical & Computer Engineering CT United States Chittagong University of Engineering & Technology Dept. of Electrical & Electronic Engineering Chittagong Bangladesh

ISBN: (纸本)9798350345360

To solve the optimization problem of Economic Load Dispatch (ELD), a number of metaheuristic approaches have already been implemented, exhibiting substantial improvement over the conventional technique. Despite this, due to the global energy crisis, research in ELD still continues to garner considerable interest. In this study, the Seagull Optimization Algorithm (SOA), a recently developed swarm intelligence technique, is applied in ELD. As the SOA algorithm has never been utilized in the ELD, it is important to investigate its efficacy and validity in this domain. Here, two case studies of ELD incorporating 6 and 10 generator units are implemented employing SOA. What's more, the performance of SOA in ELD is compared with respect to three other previously applied metaheuristics algorithms. Results indicate that SOA is a potential algorithm capable of handling the practical optimization challenge of ELD problem more effectively, especially in large power plants having more than 6 units. © 2023 IEEE.

关键词： Optimization

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Investigation of the Impact of Lightning Strikes on Renewable Farms 3

Investigation of the Impact of Lightning Strikes on Renewabl...

引用

3rd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2024

作者： Gujar, Abhilash Hossain, Shah Mohazzem Kunwar, Dol Raj College of Engineering Dept. of Electrical Engineering Pune India Military Institute of Science and Technology Dept. of Electrical Electronic and Communication Engineering Bangladesh Tribhuvan University Ioe Dept. of Electrical Engineering Nepal

ISBN: (纸本)9798350387193

A lightning strike is a natural phenomenon that occurs suddenly, dependent on weather conditions. It can cause overvoltage in any electrical network, including transmission lines and generating stations. However, the increase in renewable farm penetration in recent years, especially in transmission networks, highlights the need to investigate their impact on these farms during such massive surge events. This is important because the equipment in these farms is costly and typically has less withstand capability than other power system network components. This paper uses an IEEE Standard impulse current waveform from PSCAD to investigate the impact of lightning surges on solar and wind farms when connecting them to an IEEE-9 bus network. Additionally, it discusses existing protective measures for such farms in this regard. © 2024 IEEE.

关键词： lightning overvoltage power system protection solar farm surge wind farm

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Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity 9

Early Discovery of Emerging Entities in Persian Twitter with...

引用

9th International Conference on Web Research, ICWR 2023

作者： Yousefi, Shahin Hooshmand, Mohsen Afsharchi, Mohsen Dept. of Computer Science and Information Technology Zanjan Iran University of Zanjan Dept. of Electrical & Computer Engineering Zanjan Iran

ISBN: (纸本)9798350399691

Discovering emerging entities (EEs) is the problem of finding entities before their establishment. These entities can be critical for individuals, companies, and governments. Many of these entities can be discovered on social media platforms, e.g. Twitter. These identities have been the spot of research in academy and industry in recent years. Similar to any machine learning problem, data availability is one of the major challenges in this problem. This paper proposes EEPT that is an online clustering method able to discover EEs without any need for training on a dataset. Additionally, due to the lack of a proper evaluation metric, this paper uses a new metric to evaluate the results. The results show that EEPT is promising and finds significant entities before their establishment. © 2023 IEEE.

关键词： Semantics

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Experimental Verification of Rotating Sliding Mode Control with Composite Reaching Law Approach for Voltage Source Inverters 21

Experimental Verification of Rotating Sliding Mode Control w...

引用

21st International Bhurban Conference on Applied Sciences and technology, IBCAST 2024

作者： Haroon, Faheem Waqar, Asad Aamir, Muhammad Abbas, Syed Hayder Ali, Syed Umaid Qaisar, Saeed Mian Bahria University Dept: Electrical Engineering Islamabad Pakistan Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Dept: Electrical and Computer Engineering Haripur Pakistan Effat University Dept. Electrical and Computer Engineering Jeddah21478 Saudi Arabia

ISBN: (纸本)9798331516680

In modern power systems, power electronic interfaces like Voltage Source Inverters (VSIs) uses advanced control strategies to ensure high-quality voltage regulation, significantly enhancing system stability and reliability for various applications. This paper introduces a novel voltage regulation method for VSIs using Sliding Mode Control (SMC) under extreme load variations [1]. Besides robustness, SMC is prone to chattering, causing power losses, reduced efficiency, and compromised transient response. To address chattering, an adaptive sliding surface selection mechanism that utilizes the Rotating Sliding Surface (RSS) technique and a new reaching law based on state variable magnitudes, which dynamically adjusts the control gain is proposed here. This composite reaching law uses exponential, power, and difference functions to achieve rapid convergence and reduce chattering. The sliding surface is chosen with a time-varying slope based on error variables. Tests on a single-phase VSI with varying loads demonstrate that the C-ERL-RSS SMC achieves a well-regulated output voltage with just 0.25% THD, reduced chattering, and minimal tracking time. Additionally, implementing the C-ERL-RSS SMC and PRERL SMC on a two-level three-phase VSI under varying load conditions shows superior efficiency and stability, with a low THD of 1.1%. Experimental evaluation on MicroLabBox-dSPACE 1202 for VSIs under extreme conditions reveals that the proposed technique excels in voltage regulation, offering fast transient response and low THD of 1.12% and 2.1% for single-phase and three-phase VSIs, respectively. © 2024 IEEE.

关键词： Transient analysis

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Effective Machine Learning Model for Disease Recognition and Categorization of Mango Leaves

Effective Machine Learning Model for Disease Recognition and...

引用

2024 International Conference on Computational Intelligence and Computing Applications, ICCICA 2024

作者： Kumar, Sandeep Gupta, Bhupesh Grover, Richa Chhabra, Mohit Computer Science & Engineering Dept. Ambala Mullana India Panipat Institute Of Engineering & Technology Computer Science & Engineering Dept. India

ISBN: (纸本)9798350306446

Maintaining the health and production of mango farms depends on the early detection of illnesses in mango trees. Despite the vital role agriculture plays, it remains an industry receiving limited attention from the machine-learning community. A noteworthy challenge is the lack of standardized and openly accessible agricultural datasets, impeding researchers from fully leveraging the potential of advanced computational prediction tools. The study focuses on employing deep learning and image processing techniques for diagnosing prevalent mango leaf diseases in India. The goal is to enhance both the quality and quantity of agricultural production by implementing effective disease control measures upon identifying plant diseases. The automation of plant disease detection proves particularly beneficial, reducing the monitoring efforts required by large farms. Rapid identification of leaf diseases is crucial, given that leaves serve as a plant's primary source of nutrition. Notably, none of the seven different mango leaf illnesses that have been observed in India have ever been the subject of earlier research. In this study, we provide a lightweight Resnet50 model that can reliably classify healthy mango leaves and the seven discovered illnesses on mango leaves. The performance of our proposed lightweight Resnet-50 model is evaluated against many pre-trained models, such as Exception, Resnet101, and VGG16. The findings reveal that the lightweight Resnet-50 model achieves the highest testing accuracy, reaching an impressive 95%. This underscores the model's effectiveness in automating the identification of mango leaf diseases, offering a promising solution for improving agricultural practices in India. © 2024 IEEE.

关键词： Diseases

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MLBERT: Multi-Level Fully Binarized BERT 1

MLBERT: Multi-Level Fully Binarized BERT

引用

1st International Conference on Innovative engineering Sciences and Technological Research, ICIESTR 2024

作者： Nasab, Mahdi Mohammadi Fakhire, Mahboube Salehi, Mostafa E. Modarresi, Mehdi University of Tehran College of Engineering Electrical and Computer Engineering Dept. Tehran Iran

ISBN: (纸本)9798350348637

BERT models, which use deep learning approaches for natural language comprehension, greatly improve language processing tasks in embedded devices. Their use in such devices enables sophisticated capabilities such as real-time language translation and making interactions more natural and efficient. BERT models, with their high computational complexity and large parameter count, impose significant issues in terms of processing power and memory requirements, particularly in resource-limited devices. These problems frequently require specialized hardware or optimization approaches, such as model compression, to enable efficient deployment without sacrificing performance. Binary Neural Networks, which simplify the weights and activations to binary values, are crucial for significantly reducing computational complexity and memory usage. This makes them ideal for deployment in resource-constrained environments like embedded systems and mobile devices, enabling efficient execution of complex machine learning tasks. Multi-level binarization (MLB) in neural network models takes advantage of bit-wise operations and enhances accuracy while reducing computational and memory requirements. We propose an MLB-based framework to enhance binarized BERT models which supports MLB for embedding layers as well. The results indicate that the DynaBERT model, when compressed to 1-bit precision for both Transformer layers and the entire embedding layers, along with 3-bit MLB activations, has no accuracy loss for SST-2, loses only about 0.5% of accuracy for MRPC, and 3% accuracy drop for RTE task, which is compatible with state-of-the-art. © 2024 IEEE.

关键词： Deep neural networks

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