检索结果-内蒙古大学图书馆

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Benfatto, Oriana Tresca, Giulia Formentini, Andrea Anglani, Norma Cossu, Simone Zanchetta, Pericle University of Pavia Electrical Computer and Biomedical Engineering Dept. Pavia Italy University of Genoa El. Elec. and Telec. Engineering and Naval Architecture Dept. Genoa Italy

ISBN: (纸本)9798350376067

This paper explores the issues related to the stability of a grid-connected three-phase grid-forming inverter embedded in a microgrid. The core analysis emphasizes the optimization of system controls and the influence of feed-forward terms on system stability. Through a comprehensive simulation and pole analysis, this paper demonstrates that feed-forward terms significantly affect the stability of the system. © 2024 IEEE.

关键词： Poles

来源：评论

学校读者我要写书评

暂无评论

Dynamic Stability of Large-Scale Photovoltaic Based Generation Integration into Power systems 5

Dynamic Stability of Large-Scale Photovoltaic Based Generati...

引用

5th International Conference on Power engineering and Renewable Energy, ICPERE 2022

作者： Tayyab, Muhammad A. Muljadi, Eduard Auburn University Dept. of Elec. and Computer Engineering AuburnAL United States

ISBN: (纸本)9781665455480

The recent drought trends and decrease in hydropower generation are alarming to the point where we must plan for an alternate power source to utilize the available transmission line capacity. Interconnection of solar Photo-Voltaic (PV) as a viable elec.ric power supply has been substantially increasing in recent years, making it the most compelling alternate power source to compensate for the loss of hydropower. This paper aims to discuss the dynamic stability of a power system when a large-scale PV-based generation is interconnected to the power system to counteract an increase in load and compensate for drought-impacted hydro generation. For demonstration, a real-world power system is used for this study with permission from Western elec.ricity Coordinating Council (WECC). The system is simulated for five scenarios, (I) an existing power system, (II) a system with a 500 MW increase in system load and 500 MW additional PV generation, (III)-(V) a system with 500 MW, 720 MW, and 1440 MW PV generation interconnection to compensate for different levels of decrease in the hydro generation to test different PV penetration levels. The system is simulated with GE PSLF software for various contingencies, and dynamic stability results are reported with fictitious bus names without any Critical elec.ricity Infrastructure Information (CEIl). © 2022 IEEE.

关键词： Drought

来源：评论

学校读者我要写书评

暂无评论

Kalman filter estimation method for battery cell parameters in Reconfigurable Cascaded Multilevel Converter

Kalman filter estimation method for battery cell parameters ...

引用

2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Tresca, Giulia Formentini, Andrea Granata, Samuele Magrini, Carlo Zanchetta, Pericle University of Genoa El. Elec. and Telec. Engineering and Naval Architecture Dept. Genova Italy University of Pavia Electrical Computer and Biomedical Engineering Dept. Pavia Italy University of Nottingham Electrical and Electronics Engineering Dept. Nottingham United Kingdom

ISBN: (纸本)9798350316445

This paper presents an online estimation technique Kalman filter-based able to evaluate both the open circuit voltage and the internal resistance of the battery cells installed within the Reconfigurable Cascaded Multilevel Converter. This technique fills the gap for the complex reconfigurable structures, allowing the estimation of the parameters with only the knowledge of the output current and voltage and instantaneous active battery cells. The estimation technique is combined with a sorting algorithm to address the specific topic of multilevel converter controlled with digital modulation. Specifically, the estimation algorithm here presented ensures a reduced convergence time, demonstrated by the low mean error computed. Moreover, the estimation technique is simulated during both discharging and charging processes, showing how different initial conditions may affect the convergence time depending on the power flow. © 2023 IEEE.

关键词： Battery cells Estimation Technique Internal resistance Kalman Filter Multilevel Converter Online Estimation Open circuit voltage Reconfigurable Cascaded Multilevel Converter Sorting algorithm

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Android Programming Self-learning Topic for Developing Online Database Application Using Firebase 6

An Implementation of Android Programming Self-learning Topic...

引用

6th International Conference on Vocational Education and elec.rical engineering, ICVEE 2023

作者： Syaifudin, Yan Watequlis Rozi, Imam Fahrur Kaswar, Andi Baso Funabiki, Nobuo Fatmawati, Triana Siradjuddin, Indrazno State Polytechnic of Malang Dept. of Information Technology Malang Indonesia State University of Makassar Dept. of Computer Engineering Makassar Indonesia Okayama University Dept. of Elec. and Comm. Engineering Okayama Japan State Polytechnic of Malang Dept. of Electrical Engineering Malang Indonesia

ISBN: (纸本)9798350326642

The trend in software development recently has been toward the creation of applications for Android smartphones that impacts the growth of Android application developer demand. The Android Programming Learning Assistance system (APLAS) has been developed to study Android programming independently. Students get automatic guidance and feedback in writing source code by implementing test-driven development (TDD) method using JUnit and Robolectric. This paper presents a new implementation of Online Database topic, as the second topic in third learning stage of APLAS, for developing an Android online database application using Firebase. It provides basic functions to make e-commerce transactions consisting of user registration and login, selling, and buying goods that are interpreted into 9 activities. The topic was applied to 50 students in an Indonesian IT department to test its efficacy, and all of the students correctly completed the assignments with compliments. © 2023 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Advanced Results Demonstrating that Lévy Firefly Bio-Inspired Algorithms Can Improve Fetal elec.rocardiogram (FECG) Adaptive Signal Processing 58

Advanced Results Demonstrating that Lévy Firefly Bio-Inspir...

引用

58th Asilomar Conference on Signals, systems and computers, ACSSC 2024

作者： Jenkins, W.K. Radhakrishnan, C. School of Electrical and Computer Engineering Pennsylvania State University University ParkPA United States University of Illinois Dept. of Elec. and Comp. Engr. Urbana-ChampaignIL United States

ISBN: (纸本)9798350354058

Previously published results demonstrated that a sequential combination of adaptive linear prediction configuration (LPC), adaptive noise cancellation (ANC), and adaptive comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. More recent research results have verified that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively applied to many different forms of linear and non-linear adaptive filter structures, including low sensitivity IIR adaptive structures that could not be used with steepest descent adaptive algorithms due to their adaptive multimodal characteristics. This paper presents results when using the LFFA algorithm in various stages of the FECG sequential combination processing. © 2024 IEEE.

关键词： Adaptive filtering

来源：评论

学校读者我要写书评

暂无评论

Variational Bayesian Learning based Joint Localization and Channel Parameter Estimation in Wireless Sensor Networks with Distance-dependent Noise

引用

IEEE Transactions on Vehicular Technology 2024年第5期74卷 6877-6891页

作者： Li, Yunfei Luo, Yiting Tan, Weiqiang Li, Chunguo Ma, Shaodan Yang, Guanghua Anhui Polytechnic University Department of Electrical Engineering Wuhu China Guangzhou University School of Computer Science and Cyber Engineering Guangzhou China Southeast University School of Information Science and Engineering Nanjing China Purple Mountain Laboratories Nanjing China University of Macau State Key Lab. of Internet of Things for Smart City and the Dept. of Elec. and Computer Engineering Taipa China Jinan University School of Intelligent Systems Science and Engineering Zhuhai519070 China

This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distancedependent noise. Departing from the conventional independent noise model used in localization and path loss exponent estimation problems, we consider a more realistic model incorporating distance-dependent noise variance, as revealed in recent theoretical analyses and experimental results. The distance-dependent noise introduces a complex noise model with unknown noise power and PLE, resulting in an exceptionally challenging nonconvex and nonlinear optimization problem. In this study, we address a joint localization and path loss exponent estimation problem encompassing distance-dependent noise, unknown parameters, and uncertainties in sensor node locations. To surmount the intractable nonlinear and non-convex objective function inherent in the problem, we introduce a variational Bayesian learning-based framework that enables the joint optimization of localization, path loss exponent, and reference noise parameters by leveraging an effective approximation to the true posterior distribution. Furthermore, the proposed joint learning algorithm provides an iterative closed-form solution and exhibits superior performance in terms of computational complexity compared to existing algorithms. computer simulation results demonstrate that the proposed algorithm approaches the performance of the Bayesian Cramer-Rao bound (BCRB), achieves localization performance comparable to the (maximum likelihood-Gaussian message passing) ML-GMP algorithm in some cases, and outperforms the other comparison algorithm in all cases. © 1967-2012 IEEE.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Enhancing the Maximum Tolerable Number of Active Users for Unsourced Random Access

Enhancing the Maximum Tolerable Number of Active Users for U...

引用

IEEE International Symposium on Information Theory

作者： Shan Lu Hiroshi Kamabe Graduate School of Engineering Nagoya University Nagoya Japan Dept. of Elec. Elec. and Computer Eng. Gifu University Gifu Japan

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

In the unsourced random access (U-RA), only a portion of users in a large number of users are active during the same time slot. Each user employs the same codebook, and the task of the decoder is to recover a list of transmitted messages, regardless of the user's identity. A concatenated coding approach, referred to as a coded compressed sensing scheme, decreases the computational complexity. However, there is a limitation that the inner CS decoding only decodes the support of a sparse vector, which leads to each user at the same sub-slot must send a different message, and the maximum tolerable active user number is low. In this paper, we consider an inner CS decoding scheme that initially decodes the amplitudes of a sparse vector and quantifies them to determine the number of active users choosing the same columns. This eliminates the constraint of requiring each user to send different messages in the same sub-slot, thereby increasing the maximum tolerable number of active users. We also show the maximum tolerable active user number with various codelengths. Next, we improve the survival probabilities' upper and lower bounds of the outer tree encoder.

关键词： Codes Vectors Encoding Decoding Task analysis Computational complexity Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Generating Automated Assistance Mechanism in Android Programming Self-learning system Using Automatic Testing Tools

Generating Automated Assistance Mechanism in Android Program...

引用

2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

作者： Syaifudin, Yan Watequlis Liliana, Dewi Yanti Kaswar, Andi Baso Fatmawati, Triana Funabiki, Nobuo Siradjuddin, Indrazno State Polytechnic of Malang Dept. of Information Technology Malang Indonesia State Polytechnic of Jakarta Dept. of Informatics Engineering Jakarta Indonesia State University of Makassar Dept. of Computer Engineering Makassar Indonesia Okayama University Dept. of Elec. and Comm. Engineering Okayama Japan State Polytechnic of Malang Dept. of Electrical Engineering Malang Indonesia

ISBN: (纸本)9798350307771

Nowadays, computer-assisted learning (CAL) has experienced a significant increase in demand for self-learning purposes with the mechanism of automated assistance to facilitate assessments and provide instant feedback to learners. Using automatic testing, test cases can be executed repeatedly, providing informative feedback to assist students in correcting the written code referring to the assignment specifications. This research experiences an automated testing mechanism in an Android programming self-learning system to serve several important functions for learning experience enhancement. By adopting the TDD method and utilizing automatic software testing tools, the testing process combines unit testing with JUnit and integration testing with Robolectric. It ensures the quality and functionality of the application under test based on learning assignment's specifications. Utilizing the assertion methods realizes the code verification referring to expected behavior and potentially produces informative feedback that can be captured to provide automated assistance. Evaluation through the test code implementation in the Basic Application learning topic shows that automatic testing tools cover the automated assistance feature in the validations of project configuration and UI components. © 2023 IEEE.

关键词： Specifications

来源：评论

学校读者我要写书评

暂无评论

CDP: Selec.ive Influential Nodes Based on Cliques in the Diffusion Process in Social Networks 9

CDP: Selective Influential Nodes Based on Cliques in the Dif...

引用

9th International Conference on Web Research, ICWR 2023

作者： Yazdanifar, Fatemeh Beni, Hamid Ahmadi Salimi, Nikoo Bouyer, Asgarali Amirkabir University of Technology Dept. of Mathematics and Computer Science Tehran Iran Madani University Dept. Software Engineering Azarbijan Shahid Tabriz Iran University of Genoa Dept. of the Elec. Electronics Electronics and Telecommunication Eng. and Naval Architecture Genoa Italy Azarbaijan Shahid Madani University Dept. of Computer Engineering Tabriz Iran

ISBN: (纸本)9798350399691

Influence maximization techniques emphasize selec.ing a set of influential nodes in order to maximize influence. Because the algorithms presented in this field ignore the topology of cliques for diffusion, there are two major challenges in influence maximization algorithms: optimal diffusion and computational overhead reduction. As a result, the CDP algorithm is presented in this article to address these issues. This algorithm first selec.s suitable cliques for diffusion based on their position and strategy in social networks. Furthermore, for each clique, a score is calculated based on the topological criteria of the clique, and suitable cliques are selec.ed for diffusion by applying a threshold limit. The seed nodes are chosen from the cliques in the second step. To avoid the rich club phenomenon, only a few nodes from each clique are chosen as seed candidate nodes. Finally, the seed nodes are chosen based on the node's topology and the strength of the node's level one neighbor. In the experiment section, the CDP algorithm significantly outperforms the best algorithms presented in recent years in terms of influence spread rate and execution time. © 2023 IEEE.

关键词： Diffusion

来源：评论

学校读者我要写书评

暂无评论

Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization

arXiv

引用

arXiv 2025年

作者： Topal, Barış Batuhan Özyurt, Umut Budak, Zafer Doğan Cinbis, Ramazan Gokberk Pixery Labs Istanbul Turkey METU Dept. of Computer Engineering Ankara Turkey METU Dept. of Electrical and Elec. Engineering Ankara Turkey

Recent advancements in text-to-image generative models, particularly latent diffusion models (LDMs), have demonstrated remarkable capabilities in synthesizing high-quality images from textual prompts. However, achieving identity personalization-ensuring that a model consistently generates subject-specific outputs from limited reference images-remains a fundamental challenge. To address this, we introduce Meta-Low-Rank Adaptation (Meta-LoRA), a novel framework that leverages meta-learning to encode domain-specific priors into LoRA-based identity personalization. Our method introduces a structured three-layer LoRA architecture that separates identity-agnostic knowledge from identity-specific adaptation. In the first stage, the LoRA Meta-Down layers are meta-trained across multiple subjects, learning a shared manifold that captures general identity-related features. In the second stage, only the LoRA-Mid and LoRA-Up layers are optimized to specialize on a given subject, significantly reducing adaptation time while improving identity fidelity. To evaluate our approach, we introduce Meta-PHD, a new benchmark dataset for identity personalization, and compare Meta-LoRA against state-of-the-art methods. Our results demonstrate that Meta-LoRA achieves superior identity retention, computational efficiency, and adaptability across diverse identity conditions. The code, model weights, and dataset will be released publicly upon acceptance. Copyright © 2025, The Authors. All rights reserved.

关键词：

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：