检索结果-内蒙古大学图书馆

A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models

Soft Computing 2024年第19期28卷 11265-11277页

作者： Singla, Manish Kumar Gupta, Jyoti Alsharif, Mohammed H. Kim, Mun-Kyeom Aljaidi, Mohammad Safaraliev, Murodbek Department of Interdisciplinary Courses in Engineering Chitkara University Institute of Engineering & ampTechnology Chitkara University Punjab India Applied Science Research Center Applied Science Private University Amman11931 Jordan School of Engineering and Technology K. R. Mangalam University Gurgaon Haryana122003 India Department of Electrical Engineering College of Electronics and Information Engineering Sejong University 209 Neungdong-Ro Gwangjin-Gu Seoul05006 Korea Republic of School of Energy System Engineering Chung-Ang University 84 Heukseok-Ro Dongjak-Gu Seoul06974 Korea Republic of Department of Computer Science Zarqa University Zarqa13110 Jordan Department of Automated Electrical Systems Ural Federal University Yekaterinburg620002 Russia

The accuracy of solar cell models is crucial for enhancing the performance of solar photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and the manufacturer's datasheet does not provide the required information for reliable modeling. Consequently, accurate parameter estimation becomes necessary. This paper presents a simple multi-objective optimization algorithm (Hybrid Particle Swarm Optimization and Rat Search Algorithm (PSORSA)) designed to estimate cell parameters based on this observation. Unlike other optimization algorithms addressing this issue, the proposed algorithm aims to overcome challenges related to local minima and premature convergence, which often lead to suboptimal results. The paper focuses on assessing the reliability of the proposed algorithm by comparing its performance with other well-known optimization algorithms. The proposed optimizing algorithm is tested on the CEC 2019 benchmark function. Experimental results (RMSE), including statistical analysis, validate the algorithm's effectiveness by comparing them with other algorithms. At the end, non-parametric test is performed to justify the outcomes, vouching for the better performance of the proposed algorithm. The findings demonstrate that the proposed algorithms are particularly well-suited for estimating solar PV models. With its simple structure and high accuracy, the proposed algorithm exhibits great potential for various applications in the field of solar energy. Moreover, its computational efficiency and ease of implementation further contribute to its practicality. © The Author(s) 2024.

关键词： Solar cells

来源：评论

学校读者我要写书评

暂无评论

Integral Reinforcement Reciprocal Zhang Neural Net for Time-Varying Linear Equations

Integral Reinforcement Reciprocal Zhang Neural Net for Time-...

引用

2024 International Conference on New Trends in Computational Intelligence, NTCI 2024

作者： Wang, Changyuan Chen, Long Zhang, Yunong Li, Shuai University of Macau Faculty of Science and Technology China School of Intelligent Systems Engineering Sun Yat-sen University Shenzhen China University of Oulu Faculty of Information Technology and Electrical Engineering Oulu Finland Technical Research Center of Finland Oulu Finland

ISBN: (纸本)9798331517021

Solving time-varying linear equations is a com-mon challenge encountered in engineering and science. The development of neural dynamic systems has led to the creation of various feedback neural nets that effectively solve continuous time-varying linear equations. In this context, reciprocal Zhang neural net (RZNN) was developed, which is focused by this work, providing an explicit inverse-free continuous model for solving time-varying linear equations. However, the continuous model often struggle with noise interference, e.g., Gaussian noise, during the solving process. This paper enhances RZNN model with an integral reinforcement term to improve robustness of the explicit continuous models with noisy conditions. Furthermore, we optimize the RZNN solving process, making it easier for implementation in circuit systems and numerical simulations. © 2024 IEEE.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

引用

IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

来源：评论

学校读者我要写书评

暂无评论

A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problem

A distributed algorithm with network-independent step-size a...

引用

作者： Chen, Baitong Yang, Jianhua Lu, Wei Pedrycz, Witold Sun, Changhai School of Control Science and Engineering Dalian University of Technology Dalian China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Institute of Systems Engineering Macau University of Science and Technology SARTaipa 999078 China Research Center of Performance and Productivity Analysis Istinye University Istanbul Turkey School of Electrical Engineering Dalian University of Technology Dalian China

The economic dispatch problem (EDP) poses a significant challenge in energy management for modern power systems, particularly as these systems undergo expansion. This growth escalates the demand for communication resources and increases the risk of communication failures. To address this challenge, we propose a distributed algorithm with network-independent step sizes and an event-triggered mechanism, which reduces communication requirements and enhances adaptability. Unlike traditional methods, our algorithm uses network-independent step sizes derived from each agent's local cost functions, thus eliminating the need for detailed network topology knowledge. The theoretical derivation identifies a range of step size values that depend solely on the objective function's strong convexity and the gradient's Lipschitz continuity. Furthermore, the proposed algorithm is shown to achieve a linear convergence rate, assuming the event triggering threshold criteria are met for linear convergence. Numerical experiments further validate the effectiveness and advantages of our proposed distributed algorithm by demonstrating its ability to maintain good convergence characteristics while reducing communication frequency. © 2024 John Wiley & Sons Ltd.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Stimulated Raman Scattering Microscopy with a Widely Tunable Fiber Optical Parametric Oscillator and Ti:sapphire Laser

Stimulated Raman Scattering Microscopy with a Widely Tunable...

引用

CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Takahashi, Shun Oguchi, Kenichi Kamei, Kento Mizuguchi, Takaha Spratt, Spencer J. Ozeki, Yasuyuki Department of Electrical Engineering and Information Systems The University of Tokyo Bunkyo-ku Tokyo113-8656 Japan Research Center for Advanced Science and Technology The University of Tokyo Meguro-ku Tokyo153-8904 Japan Department of Electrical and Electronic Engineering The University of Tokyo Bunkyo-ku Tokyo113-8656 Japan

We present a widely tunable fiber optical parametric oscillator with a tuning range of 1470 cm−1. By synchronizing it with a Ti:sapphire laser, we succeed in stimulated Raman scattering imaging across the broad spectr... 详细信息

ISBN: (纸本)9781957171395

关键词： Sapphire

来源：评论

学校读者我要写书评

暂无评论

HERA: A Novel Heuristic Resource Allocator for Multi-SDM Multi-User Settings

HERA: A Novel Heuristic Resource Allocator for Multi-SDM Mul...

引用

2024 IEEE Conference on Standards for Communications and Networking, CSCN 2024

作者： Antoniadis, Christos Katsalis, Kostas Tyrovolas, Dimitrios Tegos, Sotiris A. Ioannidis, Sotiris Diamantoulakis, Panagiotis D. Karagiannidis, George K. Liaskos, Christos DOCOMO Euro-Labs Munich Germany Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Thessaloniki54124 Greece Technical University of Crete Dept. of Electrical and Computer Engineering Chania Greece Artificial Intelligence & Cyber Systems Research Center Lebanon University of Ioannina Computer Science Engineering Department Ioannina Greece Institute of Computer Science Foundation for Research and Technology Hellas Greece

ISBN: (纸本)9798331507428

The advent of programmable Wireless Environments (PWEs) has transformed the wireless propagation phenomenon into a software-defined resource, leveraging Software-defined metasurfaces (SDMs). These new technologies have shown that wireless waves can be routed within a space, contrary to the regular, chaotic wireless propagation, yielding considerable benefits to communication efficiency, and even completely new applications. A new topic has risen, in the context of modeling these capabilities as network resources, and allocating them to users. In this context, the present paper contributes HERA, a heuristic resource allocator that receives a setup with users and SDMs as input, and produces the necessary configuration of the latter, for efficient shared performance. Simulation results demonstrate considerable efficiency in this task, while the heuristic nature of HERA sets the basis for a flexible definition of complex user objectives in the future. © 2024 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation

IEEE Transactions on Machine Learning in Communications and ...

引用

IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 717-732页

作者： Marwani, Maher Kaddoum, Georges École de Technologie Supérieure Electrical Engineering Department MontrealQCH3C 1K3 Canada Lebanese American University Artificial Intelligence and Cyber Systems Research Center Department of Computer Science and Mathematics Beirut797751 Lebanon

The proliferation of wireless technologies and the escalating performance requirements of wireless applications have led to diverse and dynamic wireless environments, presenting formidable challenges to existing radio resource management (RRM) frameworks. Researchers have proposed utilizing deep learning (DL) models to address these challenges to learn patterns from wireless data and leverage the extracted information to resolve multiple RRM tasks, such as channel allocation and power control. However, it is noteworthy that the majority of existing DL architectures are designed to operate on Euclidean data, thereby disregarding a substantial amount of information about the topological structure of wireless networks. As a result, the performance of DL models may be suboptimal when applied to wireless environments due to the failure to capture the network's non-Euclidean geometry. This study presents a novel approach to address the challenge of power control and spectrum allocation in an N-link interference environment with shared channels, utilizing a graph neural network (GNN) based framework. In this type of wireless environment, the available bandwidth can be divided into blocks, offering greater flexibility in allocating bandwidth to communication links, but also requiring effective management of interference. One potential solution to mitigate the impact of interference is to control the transmission power of each link while ensuring the network's data rate performance. Therefore, the power control and spectrum allocation problems are inherently coupled and should be solved jointly. The proposed GNN-based framework presents a promising avenue for tackling this complex challenge. Our experimental results demonstrate that our proposed approach yields significant improvements compared to other existing methods in terms of convergence, generalization, performance, and robustness, particularly in the context of an imperfect channel. © 2023 CCBY.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

Energy-Aware Trajectory Design for UAV-mounted Full-duplex Relays 35

Energy-Aware Trajectory Design for UAV-mounted Full-duplex R...

引用

35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Tyrovolas, Dimitrios Mitsiou, Nikos Boufikos, Thomas Tegos, Sotiris Mekikis, Prodromos-Vasileios Diamantoulakis, Panagiotis Ioannidis, Sotiris Liaskos, Christos Karagiannidis, George Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Thessaloniki54124 Greece Technical University of Crete Dept. of Electrical and Computer Engineering Chania Greece Hilti Corporation Feldkircher Strasse 100 Schaan9494 Liechtenstein University of Ioannina Computer Science Engineering Department Ioannina Greece Artificial Intelligence & Cyber Systems Research Center Lebanon

ISBN: (纸本)9798350362244

Unmanned aerial vehicles (UAVs) equipped with full-duplex relays (FDRs) are pivotal in overcoming connectivity challenges by dynamically establishing effective communication channels. However, despite their potential in network performance via trajectory optimization, integrating energy consumption models for UAV-mounted FDRs remains unexplored, crucial for trajectory design adhering to existing energy constraints. To this end, we introduce an energy-aware trajectory optimization framework to maximize network performance and user fairness within the UAV's energy constraints. Specifically, we present a detailed energy consumption model describing the operational needs of UAV-mounted FDRs and formulate a joint time-division multiple access (TDMA) user scheduling-UAV trajectory optimization problem considering the power dynamics of UAV-mounted FDRs. Finally, our simulation results highlight the role of energy awareness in achieving optimal trajectory and scheduling, contributing to UAV-mounted FDRs' performance in future networks. © 2024 IEEE.

关键词： Time division multiple access

来源：评论

学校读者我要写书评

暂无评论

All-Polarization-Maintaining L-Band Fiber Ring Laser Mode-Locked by Nonlinear Polarization Rotation

All-Polarization-Maintaining L-Band Fiber Ring Laser Mode-Lo...

引用

2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Ye, Guanyu Chow, Kin Kee Dai, Maolin Shirahata, Takuma Yamashita, Shinji Set, Sze Yun Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan Manchester Metropolitan University Department of Engineering Manchester United Kingdom The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan

We report the first all-polarization maintaining (all-PM) nonlinear polarization rotation (NPR) mode-locked fiber ring laser in the all-anomalous dispersion regime. The laser generates pulses at 1575 nm with a 5 nm sp... 详细信息

ISBN: (纸本)9798350312614

关键词： all-polarization maintaining fiber laser mode-locked nonlinear polarization rotation

来源：评论

学校读者我要写书评

暂无评论

Big Data Architectures in a patient-driven healthcare system: Implications, Scrutiny and Analysis for future prospects 1

Big Data Architectures in a patient-driven healthcare system...

引用

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

作者： Memon, Kamran Ali Memon, Imran Kumbhar, Farooque Bala, Abu Bakar Iqbal, Naveed Qureshi, Khurram Karim King Fahd University of Petroleum and Minerals Center for Communication Systems and Sensing Dhahran31261 Saudi Arabia Shah Abdul Latif University Department of Computer Science Shahdadkot Campus Pakistan King Fahd University of Petroleum and Minerals Electrical Engineering Department Center for Communication Systems and Sensing Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350348637

The term "big data"describes a significant amount of valuable information. Additionally, a sizable amount of big data related to public health comes from biological research. It is necessary to manage and analyse this data with care to get accurate information. There are several problems with every step of large data management that can only be fixed with sophisticated big data computing solutions. This is the reason health professionals need to be fully equipped with the tools necessary to efficiently collect and analyse big data to deliver appropriate solutions to promote public health. By creating new opportunities for contemporary health, proper big data management, analysis, and interpretation may completely transform the game. For this reason, several industries, including the health industry, are moving quickly to seize this chance to provide improved services and financial gains. Modern healthcare organizations have the potential to transform medical and personal medicine via the effective integration of big data and healthcare services. This article outlines many analytical paths that the patient-driven healthcare system might take, as seen from the viewpoints of different players. We have also examined several big data architectures in terms of their analytical influence, application fields, and underlying data sources and challenges in collecting the big data for healthcare systems. © 2024 IEEE.

关键词： Electronic health record

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：