检索结果-内蒙古大学图书馆

IEEE Open Journal of the Communications Society 2024年 5卷 908-927页

作者： Ismail, Mohamed I. Shaheen, Abdullah M. Fouda, Mostafa M. Alwakeel, Ahmed S. Modern Academy for Engineering and Technology Department of Electronic Engineering and Communication Technology Cairo4410242 Egypt Suez University Faculty of Engineering Department of Electrical Engineering Suez8151650 Egypt Idaho State University College of Science and Engineering Department of Electrical and Computer Engineering PocatelloID83209 United States

The Integrated Sensing and Communication (ISAC) system merged with Reconfigurable Intelligent Surface (RIS) has recently received much attention. This paper proposes an intelligent metaheuristic version of Enhanced Artificial Ecosystem Optimizer (EAEO) for a suggested beamforming optimization framework in ISAC systems with RIS. Two RIS are utilized in the presented model to enhance the received signal-to-noise ratio (SNR) for multiple-input multiple-output (MIMO) communication systems. Also, each element of each RIS scatters the incoming signal with a controllable phase-shift, without increasing its power. The signal is transmitted by a Dual-Function Base Station (DFBS) that is integrated with the RIS, which performs both communication and sensing functions simultaneously. The ISAC system is designed to optimize the signal transmission through the RIS by maximizing the SNR to increase the overall performance. In the proposed EAEO version, a Fitness-Distance-Balance Model (FDBM) is combined with the standard Artificial Ecosystem Optimizer (AEO) to improve the quality of the solutions in multidimensional and nonlinear optimization scenarios. The simulation results show that the proposed EAEO algorithm improves the SNR of different users for different numbers of RIS elements. The SNR reaches 25 dB when using 200 RIS elements. Moreover, the proposed EAEO is tested on the IEEE Congress on Evolutionary Computation 2017 (IEEE CEC'17) test suite. A comparative analysis is conducted compared to the standard AEO and several recent algorithms. The proposed EAEO derives great effectiveness and robustness over the others as it provides a higher rate of success in achieving the global optimum point. © 2020 IEEE.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Fault analysis and detection on multiple points in transmission line through Mho relay and its data prediction through LSTM technique

引用

Discover Artificial Intelligence 2025年第1期5卷 1-17页

作者： Ullah, Arif Yousaf, Muhammad Zain Aziz, Abdul Jabbar, Abdul Khan, Wajid Khan, Baseem School of Electrical Engineering CECOS University of IT and Emerging Sciences Khyber Pakhtunkhwa Peshawar25000 Pakistan School of Electrical Engineering University of Engineering and Technology Khyber Pakhtunkhwa Peshawar Pakistan School of Electrical and Information Engineering Tianjin University Tianjin300072 China Department of Electrical and Computer Engineering Hawassa University Hawassa05 Ethiopia Department of Electrical and Electronic Engineering Technology University of Johannesburg Johannesburg South Africa Department of Technical Sciences Western Caspian University Baku Azerbaijan

Power systems are becoming increasingly complex due to the integration of several power electronic devices. Protection of such systems and augmentation of reliability and stability depend on limiting the fault currents. Analysis of faults is essential for the selection of appropriate relays and other safety systems. In this research work fault analysis, fault detection, and data prediction of long transmission lines are discussed. Different parameters are analyzed at each point of distance using MATLAB/Simulink for long transmission lines. Through these results, it is concluded that with the increase in distance, the parameters change, so the detection response of the Mho relay also varies. Moreover, in this research work, the Mho relay response at different points is tested through Simulink software for long transmission lines. As it is concluded that manually it is very difficult to test the response of Mho relay at each point, the artificial intelligence technique of long short-term memory (LSTM) is used for the prediction of the data for the next long transmission line. Lastly, in this work, a long short-term memory network is used to predict the parameters. The LSTM is then used to find the predicted data of subsequent transmission line from previous data. The artificial intelligence technique successfully utilized for the detection of long transmission line fault. © The Author(s) 2025.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Transaction transmission model for blockchain channels based on non-cooperative games

引用

Science China(Information Sciences) 2023年第1期66卷 97-114页

作者： Peiyun ZHANG Chenxi LI Mengchu ZHOU Wenjun HUANG Abdullah ABUSORRAH Omaimah O.BAMASAG Engineering Research Center of Digital Forensics of Ministry of Education School of Computer and SoftwareNanjing University of Information Science and Technology School of Computer and Information Anhui Normal University Department of Electrical and Computer Engineering New Jersey Institute of Technology Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering and K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University Department of Computer Science Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King Abdulaziz University

In blockchain networks, transactions can be transmitted through channels. The existing transmission methods depend on their routing information. If a node randomly chooses a channel to transmit a transaction, the transmission may be aborted due to insufficient funds(also called balance) or a low transmission rate. To increase the success rate and reduce transmission delay across all transactions, this work proposes a transaction transmission model for blockchain channels based on non-cooperative game *** balance, channel states, and transmission probability are fully considered. This work then presents an optimized channel transaction transmission algorithm. First, channel balances are analyzed and suitable channels are selected if their balance is sufficient. Second, a Nash equilibrium point is found by using an iterative sub-gradient method and its related channels are then used to transmit transactions. The proposed method is compared with two state-of-the-art approaches: Silent Whispers and Speedy Murmurs. Experimental results show that the proposed method improves transmission success rate, reduces transmission delay,and effectively decreases transmission overhead in comparison with its two competitive peers.

关键词： Blockchain channel transaction transmission channel balance channel state channel transmission probability non-cooperative game

来源：评论

学校读者我要写书评

暂无评论

Self-supervised cost of transport estimation for multimodal path planning

引用

IEEE Robotics and Automation Letters 2025年第7期10卷 6872-6879页

作者： Gherold, Vincent Mandralis, Ioannis Sihite, Eric Salagame, Adarsh Ramezani, Alireza Gharib, Morteza California Institute of Technology Aerospace Engineering Department PasadenaCA United States Northeastern University Electrical and Computer Engineering Department BostonMA United States

Autonomous robots operating in real environments are often faced with decisions on how best to navigate their surroundings. In this work, we address a particular instance of this problem: how can a robot autonomously decide on the energetically optimal path to follow given a high-level objective and information about the surroundings? To tackle this problem we developed a self-supervised learning method that allows the robot to estimate the cost of transport of its surroundings using only vision inputs. We apply our method to the multi-modal mobility morphobot (M4), a robot that can drive, fly, segway, and crawl through its environment. By deploying our system in the real world, we show that our method accurately assigns different cost of transports to various types of environments e.g. grass vs smooth road. We also highlight the low computational cost of our method, which is deployed on an Nvidia Jetson Orin Nano robotic compute unit. We believe that this work will allow multi-modal robotic platforms to unlock their full potential for navigation and exploration tasks. © 2016 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Robustness of Incentive Mechanisms Against System Misspecification in Congestion Games

引用

IEEE Control Systems Letters 2025年 9卷 276-281页

作者： Chiu, Chih-Yuan Ferguson, Bryce L. Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA United States Dartmouth College Thayer School of Engineering NH03755 United States

To steer the behavior of selfish, resourcesharing agents in a socio-technical system towards the direction of higher efficiency, the system designer requires accurate models of both agent behaviors and the underlying system infrastructure. For instance, traffic controllers often use road latency models to design tolls whose deployment can effectively mitigate traffic congestion. However, misspecifications of system parameters may restrict a system designers ability to influence collective agent behavior toward efficient outcomes. In this work, we study the impact of system misspecifications on toll design for atomic congestion games. We prove that tolls designed under sufficiently minor system misspecifications, when deployed, do not introduce new Nash equilibria in atomic congestion games compared to tolls designed in the noisefree setting, implying a form of local robustness. We then upper bound the degree to which the worst-case equilibrium system performance could decrease when tolls designed under a given level of system misspecification are deployed. We validate our theoretical results via Monte-Carlo simulations as well as realizations of our worst-case guarantees. © 2017 IEEE.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

ECKT: enhancing cross-task knowledge transfer in continual few-shot relation extraction

引用

Journal of Supercomputing 2025年第8期81卷 1-26页

作者： Yao, Yifan Zhang, Juan Fang, Zhijun Gao, Yongbin School of Electronic and Electrical Engineering Shanghai University of Engineering Science Shanghai201620 China School of Computer Science and Technology DongHua University Shanghai201620 China

Continual few-shot relation extraction aims to enable models to incrementally learn new relation types from limited labeled instances while retaining knowledge of previously learned relations. This task presents two critical challenges: catastrophic forgetting caused by the continual learning process, and overfitting due to the scarcity of supervision in few-shot scenarios. Moreover, many existing approaches treat each task independently, overlooking the underlying relationships among tasks and thereby limiting effective knowledge transfer. To overcome these difficulties, we propose an innovative model, ECKT (Enhancing Cross-Task Knowledge Transfer). The model consists of three key modules: (1) A memory strategy to preserve critical information across tasks, (2) A prompt representation module to enhance task-specific features, (3) A cross-task cohesion module that minimizes distribution overlap while strengthening cross-task connections. Specifically, the cross-task cohesion module encourages the model to distinguish between various sample distributions, thereby alleviating catastrophic forgetting and mitigating overfitting. At the same time, it strengthens task-to-task relationships, improving knowledge transfer. We do thorough analyses on two popular benchmark datasets, showing that ECKT outperforms most existing CFRE methods, thus verifying the efficacy of our model. Our code is publicly available at https://***/moonfelix427/ECKT-main. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Knowledge transfer

来源：评论

学校读者我要写书评

暂无评论

Induced pulse voltage and hysteresis loss during magnetization reversal of Wiegand wire

引用

Journal of the Magnetics Society of Japan 2024年第1期48卷 1-4页

作者： Xue, Fei Yang, Chao Song, Zenglu Takemura, Yasushi Division of Electrical and Computer Engineering Yokohama National University Yokohama240-8501 Japan School of Electrical Engineering Nanjing Vocational University of Industry Technology Nanjing210023 China

When an alternating magnetic field is applied to a Wiegand wire, a series of pulse voltages are induced in a pickup coil due to fast magnetization reversal known as the large Barkhausen jump. This study aims to analyze the characteristics of the pulse voltage, including its height and area, which are determined from the intensity and frequency of the applied alternating magnetic field. We quantified the energy generated by magnetization reversal in a Wiegand wire. To achieve this, it was necessary to measure the energy consumed by a load resistor connected to the pickup coil. Additionally, we clarified the energy loss in the Wiegand wire. © 2024 by the Magnetics Society of Japan.

关键词： Wire

来源：评论

学校读者我要写书评

暂无评论

A linear matrix inequality approach to optimal reset control design for a class of nonlinear systems

引用

International Journal of Robust and Nonlinear Control 2024年第8期34卷 5049-5062页

作者： Shahbazzadeh, Majid Sadati, S. Jalil HosseinNia, S. Hassan Faculty of Electrical and Computer Engineering Babol Noshirvani University of Technology Babol Iran Department of Precision and Microsystems Engineering Delft University of Technology Delft Netherlands

In this article, the problem of the optimal reset control design for Lipschitz nonlinear systems is addressed. The reset controller includes a base linear controller and a reset law that enforces resets to the controller states. The reset law design is strongly dependent on the appropriate design of the base controller. For this reason, in this article, the base controller and reset law are simultaneously designed. More precisely, an optimal dynamic output feedback is considered as the base controller which minimizes the upper bound of a quadratic performance index, and a reset law is used to improve the transient response of the closed-loop system. This design is done in a full offline procedure. The problem is transformed into a set of linear matrix inequalities (LMIs), and the reset controller is obtained by solving an offline LMI optimization problem. Finally, two examples are presented to illustrate the effectiveness and validity of the proposed method. © 2024 John Wiley & Sons Ltd.

关键词： Linear matrix inequalities

来源：评论

学校读者我要写书评

暂无评论

AdaFedProx: A Heterogeneity-Aware Federated Deep Reinforcement Learning for Medical Image Classification

引用

IEEE Transactions on Consumer Electronics 2024年第1期71卷 1432-1441页

作者： Sahoo, Pranab Tripathi, Ashutosh Saha, Sriparna Mondal, Samrat Singh, Jyoti Prakash Sharma, Bhisham Computer Science and Engineering Department Indian Institute of Technology Patna India Electrical and Electronics Engineering Department The Rajiv Gandhi Institute of Petroleum Technology India Indian Institute of Technology Computer Science and Engineering Department Patna India National Institute of Technology Computer Science and Engineering Department Patna India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140401 India

In the realm of smart healthcare, vast amounts of valuable patient data are generated worldwide. However, healthcare providers face challenges in data sharing due to privacy concerns. Federated learning (FL) offers a privacy-preserving solution by enabling collaborative model training without direct access to patient data. This decentralized approach utilizes data from diverse sources, resulting in a globally learned model with satisfactory performance across individual sites. However, federated training encounters challenges such as "system heterogeneity"in client specifications and "data heterogeneity"in imbalanced data distribution. Standard FL methods become unstable and require extensive hyperparameter tuning for optimal performance when facing heterogeneous clients, posing challenges in real-world applications. This research introduces a novel heterogeneity-aware federated learning approach named AdaFedProx to address the performance degradation resulting from heterogeneity. AdaFedProx utilizes a reinforcement learning-driven strategy, introducing a tailored proximal term into the objective function to incorporate partial client information in heterogeneous settings. Dynamically determining the proximal term based on individual client states, including critical characteristics like data distribution, system specification, and performance feedback, empowers AdaFedProx to make regularized decisions throughout the federated training. AdaFedProx consistently outperforms four state-of-the-art methods on three medical datasets across diverse heterogeneity settings (0%, 50%, and 75% straggler). The code can be found at https://***/Pranabiitp/AdaFedProx. © 1975-2011 IEEE.

关键词： Deep reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Suppression and synchronization of chaos in uncertain time-delay physical system

引用

Applied Mathematics(A Journal of Chinese Universities) 2024年第3期39卷 416-437页

作者： Israr Ahmad Muhammad Shafiq Department of Preparatory Studies Centre University of Technology and Applied SciencesNizwaOman Department of Electrical and Computer Engineering Sultan Qaboos UniversityOman

The mechanical horizontal platform(MHP)system exhibits a rich chaotic *** chaotic MHP system has applications in the earthquake and offshore *** article proposes a robust adaptive continuous control(RACC)*** investigates the control and synchronization of chaos in the uncertain MHP system with time-delay in the presence of unknown state-dependent and time-dependent *** closed-loop system contains most of the nonlinear terms that enhance the complexity of the dynamical system;it improves the efficiency of the *** proposed RACC approach(a)accomplishes faster convergence of the perturbed state variables(synchronization errors)to the desired steady-state,(b)eradicates the effect of unknown state-dependent and time-dependent disturbances,and(c)suppresses undesirable chattering in the feedback control *** paper describes a detailed closed-loop stability analysis based on the Lyapunov-Krasovskii functional theory and Lyapunov stability *** provides parameter adaptation laws that confirm the convergence of the uncertain parameters to some constant *** computer simulation results endorse the theoretical findings and provide a comparative performance.

关键词： chaotic horizontal platform system chaos suppression chaos synchronization robust adaptive control Lyapunov stability theory

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：