检索结果-内蒙古大学图书馆

16th Annual Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2025

作者： Hosseinzadeh, Nazanin Mousavi, Seyyed Mohammad Javad Alizadeh, Darioush Babaei, Ebrahim University of Tabriz Faculty of Electrical and Computer Engineering Tabriz Iran Imam Khomeini International University Faculty of Technical and Engineering Electrical Engineering Department Qazvin Iran

ISBN: (纸本)9798331533946

In this paper, a single-phase dynamic voltage restorer (DVR) based on a Z-source AC-AC converter is proposed. The Z-source converter has a shared ground and continuous input current. Using the impedance network filter feature, the direct connection of the primary side of the injection transformer to the impedance network is provided. Therefore, the proposed system's volume, weight, and cost are reduced due to the elimination of the input and output LC filter. The impedance network consists of a three-winding coupling inductor. Therefore, in addition to the duty cycle, the voltage injected by the DVR can be controlled by the coupled inductor turn ratios. Unlike conventional impedance source converter-based DVRs, the proposed DVR is able to compensate for a wide range of voltage sag and swell, even voltage sags of more than 50%. The proposed DVR is analyzed in different compensation and protection modes and simulation results are presented in PSCAD/EMTDC software to validate the calculated relationships and performance. © 2025 IEEE.

关键词： Voltage-source converters

来源：评论

学校读者我要写书评

暂无评论

A High-Gain Single-Switch Non-Isolated DC-DC Converter with Expandable Topology 50

A High-Gain Single-Switch Non-Isolated DC-DC Converter with ...

引用

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

作者： Hemati, Mohammad Gholizadeh, Hossein Hamzeh, Mohsen Ben-Brahim, Lazhar School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical Engineering Qatar University Doha Qatar

ISBN: (纸本)9781665464543

This paper proposes a novel high-gain DC-DC converter that combines a boost converter with various voltage multiplier cells. This non-isolated topology can be optimized to achieve higher voltage gains, which is crucial for applications such as pulse power water electrolyzers, water refineries, and high-voltage testing. Both ideal and non-ideal analyses have been conducted, and the requirements for the converter’s operation in continuous conduction mode are discussed. A key advantage of the proposed topology is its capability to be extended for even higher voltage gains compared to recently suggested topologies. To verify and validate the operating principle of the proposed topology, experimental results from a 200-W prototype are presented. © 2024 IEEE.

关键词： Boost converter high gain converter voltage multiplier cell

来源：评论

学校读者我要写书评

暂无评论

Proof of Random Leader: A Fast and Manipulation-Resistant Proof-of-Authority Consensus Algorithm for Permissioned Blockchains Using Verifiable Random Function

引用

IEEE Transactions on Services Computing 2025年第3期18卷 1655-1668页

作者： Islam, Md. Mainul Merlec, Mpyana Mwamba In, Hoh Peter Texas A&M University Department of Electrical and Computer Engineering College Station77843 United States Korea University Department of Computer Science and Engineering Seoul02841 Korea Republic of DAO Solution Inc. Seoul06247 Korea Republic of

Proof of Authority (PoA) is a widely adopted consensus algorithm for permissioned blockchain networks, where a group of trusted entities governs the network. PoA is known for achieving rapid consensus with minimal computational and energy requirements. However, existing PoA variants such as Aura and Clique suffer from low transaction throughput in high workload conditions and provide limited randomness in leader selection. They are also vulnerable to time and order manipulation attacks. To overcome these limitations, this paper introduces a novel PoA-based consensus algorithm called Proof of Random Leader (PoRL), which utilizes a verifiable random function to enhance transaction throughput, improve scalability, and ensure fair and unpredictable leader selection. The proposed PoRL algorithm was implemented in Python and evaluated using a network of six consensus nodes with varying computational capabilities. The performance of PoRL was assessed based on key metrics, including security, consistency, availability, fault tolerance, block time, and transaction throughput. Experimental results indicate that PoRL achieves lower consensus times and higher transaction throughput compared to Aura and Clique, making it a more efficient solution for permissioned blockchain networks. The findings of this study provide valuable insights for blockchain practitioners in selecting the most suitable PoA implementation based on their specific network requirements. © 2008-2012 IEEE.

关键词： Consensus algorithm

来源：评论

学校读者我要写书评

暂无评论

An Integrated Control Framework for Safe and Ergonomic Human-Drone Interaction in Industrial Warehouses

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3570-3585页

作者： Proia, Silvia Cavone, Graziana Scarabaggio, Paolo Carli, Raffaele Dotoli, Mariagrazia University of Modena and Reggio Emilia Department of Sciences and Methods for Engineering Modena41121 Italy University Roma Tre Department of Civil Computer Science and Aeronautical Technologies Engineering Rome00154 Italy Polytechnic of Bari Department of Electrical and Information Engineering Bari70126 Italy

This study introduces a novel control framework for human-drone interaction (HDI) in industrial warehouses, targeting pick-and-delivery operations. The goals are to enhance operator safety as well as well-being and, at the same time, to improve efficiency and reduce production costs. To these aims, the speed and separation monitoring (SSM) operation method is employed for the first time in HDI, drawing an analogy to the safety requirements outlined in collaborative robots' ISO standards. The so-called protective separation distance is used to ensure the safety of operators engaged in collaborative tasks with drones. In addition, we employ the rapid upper limb assessment (RULA) method to evaluate the ergonomic posture of operators during interactions with drones. To validate the proposed approach in a realistic industrial setting, a quadrotor is deployed for pick-and-delivery tasks along a predefined trajectory from the picking bay to the palletizing area, where the interaction between the drone and a moving operator takes place. The drone navigates toward the interaction space while avoiding collisions with shelves and other drones in motion. The control strategy for the drone cruise navigation integrates simultaneously the time-variant artificial potential field (APF) technique for trajectory planning and the iterative linear quadratic regulator (LQR) controller for trajectory tracking. Differently, in the descent phase, the receding horizon LQR algorithm is employed to follow a trajectory planned in accordance with the SSM, which starts from the approach point at the border of the interaction space and ends in the volume with the operator's minimum RULA. The presented control strategy facilitates drone management by adapting the drone's position to changes in the operator's position while satisfying HDI safety requirements. The results of the proposed HDI framework simulations for the case study demonstrate the effectiveness of the method in ensuring a safe and er

关键词： ISO Standards

来源：评论

学校读者我要写书评

暂无评论

Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach

IEEE Transactions on Machine Learning in Communications and ...

引用

IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 1093-1108页

作者： Sattari, Mehdi Guo, Hao Gündüz, Deniz Panahi, Ashkan Svensson, Tommy Chalmers University of Technology Department of Electrical Engineering Gothenburg412 96 Sweden New York University Tandon School of Engineering Electrical and Computer Engineering Department BrooklynNY11201 United States Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2BX United Kingdom Chalmers University of Technology Department of Computer Science Gothenburg412 96 Sweden

Millimeter wave (mmWave) multiple-input-multi-output (MIMO) is now a reality with great potential for further improvement. We study full-duplex transmissions as an effective way to improve mmWave MIMO systems. Compared to half-duplex systems, full-duplex transmissions may offer higher data rates and lower latency. However, full-duplex transmission is hindered by self-interference (SI) at the receive antennas, and SI channel estimation becomes a crucial step to make the full-duplex systems feasible. In this paper, we address the problem of channel estimation in full-duplex mmWave MIMO systems using neural networks (NNs). Our approach involves sharing pilot resources between user equipments (UEs) and transmit antennas at the base station (BS), aiming to reduce the pilot overhead in full-duplex systems and to achieve a comparable level to that of a half-duplex system. Additionally, in the case of separate antenna configurations in a full-duplex BS, providing channel estimates of transmit antenna (TX) arrays to the downlink UEs poses another challenge, as the TX arrays are not capable of receiving pilot signals. To address this, we employ an NN to map the channel from the downlink UEs to the receive antenna (RX) arrays to the channel from the TX arrays to the downlink UEs. We further elaborate on how NNs perform the estimation with different architectures, (e.g., different numbers of hidden layers), the introduction of non-linear distortion (e.g., with a 1-bit analog-to-digital converter (ADC)), and different channel conditions (e.g., low-correlated and high-correlated channels). Our work provides novel insights into NN-based channel estimators. © 2023 CCBY.

关键词： Millimeter waves

来源：评论

学校读者我要写书评

暂无评论

Magnetization Mechanism-Inspired Neural Network for Core Loss Estimation

Magnetization Mechanism-Inspired Neural Network for Core Los...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Huang, Qiujie Li, Sinan Li, Yang Zhu, Jianguo The University of Sydney School of Electrical and Computer Engineering Sydney Australia Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350376067

Conventional core loss modelling methods often exhibit a significant lack of accuracy, design efficiency and/or cost-effectiveness especially under complex operating conditions. To tackle this problem, this paper presents a novel core loss model, Magnetization Mechanism-Inspired Neural Network (MMINN). It is a hybrid data-driven and physics-driven model, designed to capture the magnetization process of magnetic materials at the micro-level. Therefore, MMINN can not only achieve high accuracy and computational efficiency as many other fully data-driven models do, but also enjoy the simplicity (fewer parameters to tune and fewer data requirements) and generality of a purely physical model. The model training and testing are based on the open-source magnetic core loss database - MagNet, which includes dynamic hysteresis responses under various excitations at high frequencies. Experimental results prove the accuracy, speed, and data-light features of the proposed model, making it highly applicable for power magnetics design. © 2024 IEEE.

关键词： Magnetization

来源：评论

学校读者我要写书评

暂无评论

Shuffled multi-evolutionary algorithm with linear population size reduction

引用

Soft Computing 2024年第21期28卷 12671-12688页

作者： Ahandani, Morteza Alinia Kharrati, Hamed Rahimi, Afshin Department of Electrical Engineering Langarud Branch Islamic Azad University Langarud Iran Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Department of Mechanical Automotive and Materials Engineering University of Windsor WindsorONN9B 3P4 Canada

The evolutionary algorithms with shuffling concept divide a population into several groups and then each group try to evolve its members in an independent evolutionary process. In an attempt to increase and diversify search moves and preventing the premature convergence of such algorithms, this paper proposes a meta-heuristic technique by employing several evolutionary processes for different groups. In this strategy, different groups can be evolved using a randomly selected evolutionary process. In accordance with this purpose and to provide an ability of jumping out of local optima, which can be useful for finding global optima in complex optimization problems, four different evolutionary strategies inspired from shuffled frog leaping (SFL), shuffled complex evolution (SCE), shuffled differential evolution (SCE) and opposition-based learning (OBL) are incorporated into a new structure called the shuffled multi-evolutionary algorithm (SMEA). The SMEA is extended with linear population size reduction (LPSR) known as L-SMEA, which continually decreases the population size and number of groups according to a linear function. The SMEA is evaluated on CEC2014 and CEC2017 benchmark functions. The obtained results are compared with SFL, SCE and SDE and other state-of-the-art algorithms proposed in the literatures. Performing the statistical analysis of the obtained results demonstrate that the proposed L-SMEA is superior to other three algorithms including SFL, SCE and SDE and some other state-of-the-art algorithms. Also, the performed experiments indicate the contribution of employing multiple evolutionary strategies beside of linear population size reduction leads to achieving a more effective and robust algorithm than those used single evolutionary strategy. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

The Energy Management and Planning of the Proposed Water-Energy Nexus Concept by Considering Tidal Turbine and INVELOX as Novel Options 7

The Energy Management and Planning of the Proposed Water-Ene...

引用

7th International Conference on electrical engineering and Green Energy, CEEGE 2024

作者： Shaterabadi, Mohammad Mehrjerdi, Hasan Dehghanian, Payman Karimi, Houshang York University Department of Electrical Engineering ON Canada The George Washington University Department of Electrical and Computer Engineering WashingtonDC United States

ISBN: (纸本)9798350350623

The energy and water crisis due to the rapidly growing population and developing societies caused countries and governments to think about novel technologies and ways to respond to this issue. Therefore, this paper is about energy planning and management of the proposed concept for supplying water and energy simultaneously. This approach helps to overcome and supply the dramatic energy need of desalination and distribution systems. This article aims to supply the demands and minimize the total cost at the same time. Various renewable and non-renewable energy resources such as tidal turbines, INVELOX turbines, CHP, micro-turbines, and other elements are utilized in the proposed planning. Real weather conditions are considered to compute the output power of wind and tidal turbines. The presented water-energy nexus structure is modeled as a MINLP concept and solved in GAMS software using various solvers to illustrate the reliability of the optimization answers. The final results show a high improvement in the total cost reduction. © 2024 IEEE.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5575-5588页

作者： Jiang, Zihan Ma, Yiqun Shi, Bingyu Lu, Xin Xing, Jian Goncalves, Nuno Jin, Bo Suzhou215000 China Northeast Forestry University College of Computer and Control Engineering Harbin150000 China University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra3030-290 Portugal

This article introduces a novel model for low-quality pedestrian trajectory prediction, the social nonstationary transformers (NSTransformers), that merges the strengths of NSTransformers and spatiotemporal graph transformer (STAR). The model can capture social interaction cues among pedestrians and integrate features across spatial and temporal dimensions to enhance the precision and resilience of trajectory predictions. We also propose an enhanced loss function that combines diversity loss with logarithmic root mean squared error (log-RMSE) to guarantee the reasonableness and diversity of the generated trajectories. This design adapts well to complex pedestrian interaction scenarios, thereby improving the reliability and accuracy of trajectory prediction. Furthermore, we integrate a generative adversarial network (GAN) to model the randomness inherent in pedestrian trajectories. Compared to the conventional standard Gaussian distribution, our GAN approach better simulates the intricate distribution found in pedestrian trajectories, enhancing the trajectory prediction's diversity and robustness. Experimental results reveal that our model outperforms several state-of-the-art methods. This research opens the avenue for future exploration in low-quality pedestrian trajectory prediction. © 2024 IEEE.

关键词： Stars

来源：评论

学校读者我要写书评

暂无评论

Entanglement-Controlled Quantum Federated Learning

引用

IEEE Internet of Things Journal 2025年第11期12卷 18318-18330页

作者： Park, Soohyun Lee, Hyunsoo Jung, Soyi Park, Jihong Bennis, Mehdi Kim, Joongheon Sookmyung Women’s University Division of Computer Science Seoul04310 Korea Republic of Korea University Department of Electrical and Computer Engineering Seoul02841 Korea Republic of Ajou University Department of Electrical and Computer Engineering Suwon16499 Korea Republic of Pillar Tampines Singapore University of Oulu Centre for Wireless Communications Oulu90014 Finland

According to the advances in quantum computing and distributed learning, quantum federated learning (QFL) has recently become an emerging field of study. In QFL, each quantum computer or device locally trains its quantum neural network (QNN) with trainable gates, and communicates only these gate parameters over classical channels, without costly quantum communications. To successfully opeate QFL under various and dynamic channel conditions in Internet of Things (IoT) environments, this article develops a novel depth-controllable architecture of entangled slimmable QNNs (eSQNNs), and thus, proposes an entangled slimmable QFL (eSQFL) that communicates the superposition-coded parameters of eSQNNs. Even though the proposed eSQNN-based eSQFL is superior, training the depth-controllable eSQNN architecture is challenging due to high-entanglement entropy and interdepth interference. Therefore, the proposed method in this article mitigates the interference using entanglement controlled universal (CU) gates and an inplace fidelity distillation (IPFD) regularizer penalizing interdepth quantum state differences, respectively. Furthermore, the proposed method optimizes the superposition coding power allocation by deriving and minimizing the convergence bound of eSQFL. The novelty of this work is evaluated via extensive simulations in terms of prediction accuracy, fidelity, and entropy compared to Vanilla QFL as well as under different channel conditions and various data distributions. © 2014 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：