IEEJ Transactions on Electrical and Electronic Engineering最新文献_第7页

AENet: Image Retrieval of Kazakh Handwritten Documents Based on Attention Mechanism and Feature Aggregation AENet：基于注意机制和特征聚合的哈萨克手写文档图像检索

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-07-02 DOI: 10.1002/tee.24122

Gang Chen, Xuebin Xu, Jiaoyan Wang, Hornisa Mamat, Kurban Ubul

{"title":"AENet: Image Retrieval of Kazakh Handwritten Documents Based on Attention Mechanism and Feature Aggregation","authors":"Gang Chen, Xuebin Xu, Jiaoyan Wang, Hornisa Mamat, Kurban Ubul","doi":"10.1002/tee.24122","DOIUrl":"10.1002/tee.24122","url":null,"abstract":"Kazakh is one of the multilingual languages of China and is widely spoken in some areas of Xinjiang, China. However, due to the fact that Kazakh is a language in which several characters are glued together to form a continuous word with a unique shape and complex structural combinations of relationships. This paper explores a solution for offline image retrieval of handwritten Kazakh words, which is a challenging task because, due to the lack of relevant datasets and the special writing morphology of the Kazakh language, traditional text image retrieval algorithms often struggle to achieve satisfactory results when dealing with writing styles that are varied and adherent to the language. Therefore, a dataset of offline Kazakh handwritten document images was created in this paper. The dataset contains 300 pages of document images with 20 500 words. Then, a new model called the ‘AENet’ is proposed. The model utilizes an attention mechanism to focus more finely on focal regions such as centers, inflection points, and contours of handwritten word images and to capture important local features from different scales. Fusion space pyramid pooling, feature aggregation, encoding operations, and feature downscaling and reconstruction are used to extract and reconstruct more representative feature representations from local to global to capture the overall information in the word images. Through experimental evaluation on Kazak-80, Zilla-64, and HWDB1.1-375 datasets, it is verified that the method significantly improves the mAP for image retrieval of handwritten words, which is especially applicable to adhesive languages like Kazakh. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 10","pages":"1640-1651"},"PeriodicalIF":1.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of PV Parameters Based on Bézier Curve and AWSO 基于贝塞尔曲线和 AWSO 的光伏参数识别

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-07-01 DOI: 10.1002/tee.24155

Yanling Lyu, Chen Zhong, Chao You, Zhipeng Liu

{"title":"Identification of PV Parameters Based on Bézier Curve and AWSO","authors":"Yanling Lyu, Chen Zhong, Chao You, Zhipeng Liu","doi":"10.1002/tee.24155","DOIUrl":"10.1002/tee.24155","url":null,"abstract":"To achieve accurate PV cell parameter identification, a method combining the second-order Bézier function with the adaptive war strategy optimization (AWSO) algorithm is proposed, the Bézier curve for fitting the PV output characteristic curve is given by using the linear connection between the filling factor and the control points of the second-order Bézier function, and then, the Bézier-AWSO model is constructed, and an adaptive weight-based updating and allocation method is given to improve the global search capability of the AWSO algorithm in the problem of recognizing five important parameters of photovoltaic, and avoid falling into the local optimum in the process of recognition. Finally, the optimal solution for the unknown parameters in the single diode topology of silicon-based photovoltaic cells is obtained by using the data points of the fitted curves and the AWSO algorithm, and the accuracy of the AWSO algorithm for photovoltaic cell parameter identification is verified through the analysis of the arithmetic examples and real experiments. The results demonstrate that the parameter identification of the proposed improved model reduces the average relative error by 0.5%–1% compared with that before the improvement under standard and non-standard test conditions, which improves the accuracy of the 5-parameter identification results of the silicon-based PV cell and provides a reference for the subsequent fault analysis. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1943-1955"},"PeriodicalIF":1.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cooperative Path Planning for Persistent Surveillance in Large-Scale Environment with UAV-UGV System 利用 UAV-UGV 系统在大规模环境中进行持久监视的合作路径规划

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-30 DOI: 10.1002/tee.24157

Jiahui Wang, Kai Yang, Baolei Wu, Jun Wang

{"title":"Cooperative Path Planning for Persistent Surveillance in Large-Scale Environment with UAV-UGV System","authors":"Jiahui Wang, Kai Yang, Baolei Wu, Jun Wang","doi":"10.1002/tee.24157","DOIUrl":"10.1002/tee.24157","url":null,"abstract":"In this paper, we consider the path planning problem of the Unmanned Air-Ground Vehicle (UAV-UGV) system for large-scale environmental persistent surveillance. The goal is to acquire a set of periodically visited surveillance nodes while minimizing the traveling distance. Some expected key problems are the limitations of UAV speed, UGV speed, UAV endurance, and UAV field of view. To address this issue, the path planning of UAV-UGV surveillance system is modeled as a TSP optimization problem based on multiple constraints, aiming to minimize the total path length of the system to perform the task. UAV is responsible for visiting the surveillance node and UGV serves as a mobile charging station. And a two-layer chaotic aptenodytes forsteri optimization algorithm (Two-CAFO) is proposed to solve this problem. Our solution has been tested in several simulated and real-world environments. The results demonstrate that the proposed Two-CAFO has superior performance compared to other state-of-the-art algorithms in solving the path planning problem for large-scale environmental persistent surveillance tasks of UAV and UGV. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1987-2001"},"PeriodicalIF":1.0,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lagrange Multipliers Aided Modulated Model Predictive Control Technique for PMSM Drives 用于 PMSM 驱动器的拉格朗日乘法器辅助调制模型预测控制技术

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-28 DOI: 10.1002/tee.24159

Zhen Huang, Qiang Wei, Tingfeng Wu, Yonghong Xia

引用次数: 0

Survey and Analysis for High Power Factor IPMSM Drive System Using Electrolytic Capacitor-Less Inverter 使用无电解电容逆变器的高功率因数 IPMSM 驱动系统调查与分析

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-28 DOI: 10.1002/tee.24145

Kiyoshi Ohishi, Hitoshi Haga, Kodai Abe

引用次数: 0

Image Analysis Method of Substation Equipment Status Based on Cross-Modal Learning 基于跨模态学习的变电站设备状态图像分析方法

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-24 DOI: 10.1002/tee.24111

Zhuyun Li, Osamu Yoshie, Hao Wu, Xiaoming Mai, Yingyi Yang, Xian Qu

{"title":"Image Analysis Method of Substation Equipment Status Based on Cross-Modal Learning","authors":"Zhuyun Li, Osamu Yoshie, Hao Wu, Xiaoming Mai, Yingyi Yang, Xian Qu","doi":"10.1002/tee.24111","DOIUrl":"10.1002/tee.24111","url":null,"abstract":"In response to increasing power supply needs, maintaining stable substations is vital for reliable electricity. Traditional manual equipment inspections in these substations are inefficient and risky, often leading to hazards and delayed detection of faults. Therefore, there's a growing shift towards using intelligent image recognition technology in video surveillance systems for safer and more efficient inspections. This paper focuses on enhancing the level of intelligent inspection in substations using artificial intelligence-based visual recognition technology. It introduces a novel small-sample classification algorithm based on the CLIP architecture. This method uses cross-modal equipment status information as additional training samples, optimizing the loss function together with image samples, and devises hand-crafted strategies for text sample inputs to distinguish between equipment and states. The experimental results show that with only 16 training samples per category for 21 types of electrical equipment states, our method achieved a maximum accuracy of 93.38%. This represents a 2.98% higher accuracy than the PPLCNet trained on the full dataset and an 8.63% higher accuracy than the PPLCNet trained with an equal number of samples, with significantly reduced training time. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 9","pages":"1507-1521"},"PeriodicalIF":1.0,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Cascaded Controller Design for Switched Reluctance Motor Based on Dung Beetle Optimizer 基于蜣螂优化器的开关磁阻电机级联控制器设计

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-24 DOI: 10.1002/tee.24136

Yue Pan, Runtong Wei, Zhichong Wang

{"title":"A Cascaded Controller Design for Switched Reluctance Motor Based on Dung Beetle Optimizer","authors":"Yue Pan, Runtong Wei, Zhichong Wang","doi":"10.1002/tee.24136","DOIUrl":"10.1002/tee.24136","url":null,"abstract":"Due to the strong nonlinearity and large torque ripple of switched reluctance motor, a cascaded fractional order PID sliding mode control system is designed. Considering the difficulty of parameter adjustment caused by the complexity of the system, the optimization technology using dung beetle optimizer is introduced to optimize the designed cascaded controller and control the speed and torque ripple. To prove the effectiveness of the proposed cascaded controller, a control model is built in MATLAB/Simulink, and compared with whale optimization algorithm, particle swarm optimization, sparrow search algorithm to verify the response effect of the cascaded controller. A cascaded double PID controller is also built for comparison to verify the effectiveness of fractional order PID sliding mode controller. The results show that the cascaded fractional order PID sliding mode controller optimized by dung beetle optimizer is better than another cascaded double PID controller, produces the minimum torque ripple, and has better speed response and stability. The torque ripple of motor is suppressed. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 11","pages":"1879-1887"},"PeriodicalIF":1.0,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transformer Connections: Improving Segmentation in Blurred Near-Infrared Blood Vessel Image in Different Depth 变压器连接：改善不同深度模糊近红外血管图像的分割效果

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-24 DOI: 10.1002/tee.24146

Jiazhe Wang, Koichi Shimizu, Osamu Yoshie

{"title":"Transformer Connections: Improving Segmentation in Blurred Near-Infrared Blood Vessel Image in Different Depth","authors":"Jiazhe Wang, Koichi Shimizu, Osamu Yoshie","doi":"10.1002/tee.24146","DOIUrl":"10.1002/tee.24146","url":null,"abstract":"High-fidelity segmentation of blood vessels plays a pivotal role in numerous biomedical applications, such as injection assistance, cancer detection, various surgeries, and vein authentication. Near-infrared (NIR) transillumination imaging is an effective and safe method to visualize the subcutaneous blood vessel network. However, such images are severely blurred because of the light scattering in body tissues. Inspired by the Vision Transformer model, this paper proposes a novel deep learning network known as transformer connection (TRC)-Unet to capture global blurred and local clear correlations while using multi-layer attention. Our method mainly consists of two blocks, thereby aiming to remap skip connection information flow and fuse different domain features. Specifically, the TRC extracts global blurred information from multiple layers and suppresses scattering to increase the clarity of vessel features. Transformer feature fusion eliminates the domain gap between the highly semantic feature maps of the convolutional neural network backbone and the adaptive self-attention maps of TRCs. Benefiting from the long-range dependencies of transformers, we achieved competitive results in relation to various competing methods on different data sets, including retinal vessel segmentation, simulated blur image segmentation, and real NIR blood vessel image segmentation. Moreover, our method remarkably improved the segmentation results of simulated blur image data sets and a real NIR vessel image data set. The quantitative results of ablation studies and visualizations are also reported to demonstrate the superiority of the TRC-Unet design. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 11","pages":"1828-1841"},"PeriodicalIF":1.0,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.24146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of Power Line Inspection System Using a Quadrotor Helicopter 利用四旋翼直升机构建电力线路检测系统

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-20 DOI: 10.1002/tee.24150

Kenta Takaya, Hiroshi Ohta, Keishi Shibayama, Akira Inoue, Valeri Kroumov

{"title":"Construction of Power Line Inspection System Using a Quadrotor Helicopter","authors":"Kenta Takaya, Hiroshi Ohta, Keishi Shibayama, Akira Inoue, Valeri Kroumov","doi":"10.1002/tee.24150","DOIUrl":"10.1002/tee.24150","url":null,"abstract":"This work presents a construction of a novel system for autonomous inspection of power transmission lines using a quadrotor helicopter. The aircraft follows the power lines at a constant distance and acquires high-resolution images of the conductors, dampers, and towers. Monitoring of the vegetation under the power lines is also performed. The traditional inspection is carried out by helicopters equipped with high-resolution cameras or by direct visual examination by personnel climbing over de-energized power lines. However, visual inspection is time-consuming, labor-intensive, and dangerous, and often, helicopter cameras cannot capture the acute details needed for accurate and comprehensive examinations. This work successfully evaluates a mathematical model for the quadrotor helicopter used in autonomous inspection through simulations and flight experiments. Two control strategies for power line tracking are compared: a classical PID and a fuzzy PD control. Several simulations and experimental results confirm the efficiency of both control laws, but the fuzzy controller performs better under strong wind disturbances. The results of this work will be implemented by an electric power company to inspect electrical transmission facilities regularly. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 11","pages":"1803-1816"},"PeriodicalIF":1.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.24150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hand and Wrist Movements Classification Using Surface Electromyogram 利用表面肌电图对手部和腕部运动进行分类

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-06-20 DOI: 10.1002/tee.24151

Thuy Nguyen Thi Le, Tuan Van Huynh, Thuan Nguyet Phan

引用次数: 0