IEEE Canadian Journal of Electrical and Computer Engineering最新文献_第3页

IEEE Canadian Journal of Electrical and Computer Engineering 电气和电子工程师学会《加拿大电气和计算机工程学报

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-06-14 DOI: 10.1109/ICJECE.2024.3379100

引用次数: 0

A Method for Abnormal Behavior Recognition in Aquaculture Fields Using Deep Learning 利用深度学习识别水产养殖领域异常行为的方法

IF 2.1

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-06-12 DOI: 10.1109/ICJECE.2024.3398653

Wu-Chih Hu;Liang-Bi Chen;Hong-Ming Lin

{"title":"A Method for Abnormal Behavior Recognition in Aquaculture Fields Using Deep Learning","authors":"Wu-Chih Hu;Liang-Bi Chen;Hong-Ming Lin","doi":"10.1109/ICJECE.2024.3398653","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3398653","url":null,"abstract":"The fish industry is an important source of income for island countries. Fish is a main source of animal-based protein. Marine fishing is gradually being replaced by marine farming (or aquaculture) due to declining wild fish populations and water pollution. However, fish farming is costly job with high requirements for labor, electricity, water, and feed. The use of deep learning to perform intelligent surveillance in aquaculture fields, reducing the need for human resources and implementing real-time monitoring, has been proposed. In this article, we propose a novel deep residual network (ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 mathrm{D}$ </tex-math></inline-formula>\u0000) for abnormal behavior recognition in aquaculture fields. The proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 D$ </tex-math></inline-formula>\u0000 convolutional network is mainly based on an \u0000<inline-formula> <tex-math>$R(2+1) D$ </tex-math></inline-formula>\u0000 convolutional network and modified to obtain better performance. Experimental results showed that the proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 D$ </tex-math></inline-formula>\u0000 exhibited good performance for abnormal behavior recognition in aquaculture fields. Specifically, the accuracy obtained using the proposed ResNeXt \u0000<inline-formula> <tex-math>$3 times 1 mathrm{D}$ </tex-math></inline-formula>\u0000 for abnormal behavior recognition in aquaculture fields was approximately \u0000<inline-formula> <tex-math>$95.3 %$ </tex-math></inline-formula>\u0000.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 3","pages":"118-126"},"PeriodicalIF":2.1,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impacts of Laminating Core Materials on Permanent Magnet Synchronous Motor by Newton–Raphson Methodc 用牛顿-拉斐逊法研究层压铁芯材料对永磁同步电机的影响c

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-30 DOI: 10.1109/ICJECE.2024.3370973

Prabhu Sundaramoorthy;Arun Vijayakumar;Kuppapillai Rajkumar;Jamuna Ponnusamy;Gokul Chandrasekaran;Vijayakumar Madhaiyan

{"title":"Impacts of Laminating Core Materials on Permanent Magnet Synchronous Motor by Newton–Raphson Methodc","authors":"Prabhu Sundaramoorthy;Arun Vijayakumar;Kuppapillai Rajkumar;Jamuna Ponnusamy;Gokul Chandrasekaran;Vijayakumar Madhaiyan","doi":"10.1109/ICJECE.2024.3370973","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3370973","url":null,"abstract":"The permanent magnet synchronous motor (PMSM) has a more efficiency, high torque density, and high power density, but it suffers from torque ripple. This article describes the electromagnetic (EM) behavior of M19 29Ga material assists PMSM for 310 V, 5 A, and 1500 r/min. In addition, various materials as Losil 34050, Arnon 5, 50M290, M19 USS Transformer 72–29 gauge, and TR80 USS Transformer 80–29 gauge incorporated PMSM and which material has superiority, and with the superiority kept constant, changed the various magnet materials. The EEC 26-T350, MQP-14–12 835995, N45M, Recoma 22, Samarium Cobalt 20/30, Vacodym 890TP, and Vacomax 240 incorporated PMSM also investigated for EM finite-element analysis. The results of this study of the variable as torque ripple forecast the highest torque (\u0000<inline-formula> <tex-math>$T_{mathrm {max}})$ </tex-math></inline-formula>\u0000, lowest power output (\u0000<inline-formula> <tex-math>$T_{mathrm {min}})$ </tex-math></inline-formula>\u0000, and overall torque (\u0000<inline-formula> <tex-math>$T_{mathrm {avg}})$ </tex-math></inline-formula>\u0000. The superior motor among various materials unified PMSM by its ripple and field characteristics. The outcomings of the modeled motor are validated with numerical equations.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"105-110"},"PeriodicalIF":0.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140948906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Novel Single-Frame Dual-Voltage (28-/270-V DC) Permanent Magnet Generator 新型单框架双电压（28-/270-V DC）永磁发电机的设计

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-24 DOI: 10.1109/ICJECE.2024.3370589

Jaishankar Chinnachamy;Hosimin Thilagar Srinivasan

引用次数: 0

Visual Geometry Group Network for Flexible Printed Circuit Board Surface Defect Classification 用于柔性印刷电路板表面缺陷分类的视觉几何群组网络

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-19 DOI: 10.1109/ICJECE.2024.3368454

Jiazheng Sheng;Siyi Guo;Hui Li;Shengnan Shen;Yikai Zhang;Yicang Huang;Bin Sun;Jian Wang

{"title":"Visual Geometry Group Network for Flexible Printed Circuit Board Surface Defect Classification","authors":"Jiazheng Sheng;Siyi Guo;Hui Li;Shengnan Shen;Yikai Zhang;Yicang Huang;Bin Sun;Jian Wang","doi":"10.1109/ICJECE.2024.3368454","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3368454","url":null,"abstract":"Convolutional neural networks (CNNs) have drawn huge interest in the field of surface defect classification. During the production of flexible printed circuit boards (FPCBs), only a limited number of images of surface defects can be obtained. FPCB surface defect datasets have small samples and severe imbalances, which can significantly affect defect classification accuracy. Hence, this article presented a lightweight visual geometry group (L-VGG), developed by modifying the classical VGG16 network structure. The L-VGG network was optimized using L2 regularization and sample weighting, which alleviated the over-fitting phenomenon caused by small samples and improved validation accuracy. In addition, the differences among the classification accuracies of different defect images caused by imbalanced datasets were significantly reduced. The training time of the proposed L-VGG network was equivalent to 83.84% and 91.94% compression of the traditional VGG16 and ResNet18 networks, respectively. The dataset augmentation with generated images further mitigates the overfitting phenomenon caused by the small sample problem to some extent, and finally achieves a validation accuracy of 94.20%.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"70-77"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault Restoration Strategy for Multienergy Distribution Systems With Consideration of Resilience Enhancement 多能源配电系统故障恢复策略与复原力增强考虑

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-19 DOI: 10.1109/ICJECE.2024.3380062

Tianchi Tong;Yuwei Yan;Yuan Xia

{"title":"Fault Restoration Strategy for Multienergy Distribution Systems With Consideration of Resilience Enhancement","authors":"Tianchi Tong;Yuwei Yan;Yuan Xia","doi":"10.1109/ICJECE.2024.3380062","DOIUrl":"https://doi.org/10.1109/ICJECE.2024.3380062","url":null,"abstract":"The traditional methods of improving the resilience of the distribution network have certain limitations, while the integrated energy system makes the grid tightly coupled with other energy systems, providing a new way to improve the resilience of the distribution network. Aiming at the problem of large-scale power outages caused by frequent extreme weather events in recent years, this article proposes a fault recovery strategy for multienergy distribution systems considering enhanced resilience. For the first time, this article considers the load conversion of multienergy forms on the demand side in the process of distribution network restoration. During the period from the occurrence of multiline faults in the distribution network to the fault repaired, this article adopts reconstruction and island division, and cooperates with the multienergy form load conversion on the demand side to reduce the loss of electrical loads. In this article, the calculation example of the modified 69 bus system shows the method adopted in this article reduces the load loss rate by about 30% compared with the traditional scheme, which verifies that load conversion of multienergy forms on the demand side can effectively alleviate the problem of insufficient energy supply when the traditional distributed generation (DG) is used to construct island.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"47 2","pages":"87-94"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Tuning of Virtual Inertia Control for Frequency Regulation of Microgrid 微电网频率调节虚拟惯性控制的优化调整

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-10 DOI: 10.1109/ICJECE.2024.3351152

Bashar Abbas Fadheel;Noor Izzri Abdul Wahab;Ali Jafer Mahdi;Mohd Amran Bin Mohd Radzi;Azura Binti Che Soh;Hussein Mohammed Ridha;Veerapandiyan Veerasamy

引用次数: 0

Parity-Time-Symmetric Wireless Power Transfer System Based on Self-Excited Converter 基于自激式转换器的奇偶-时间-对称无线电力传输系统

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-04-08 DOI: 10.1109/ICJECE.2024.3374951

Jingjing Yang;Mengling Li;Shumin Ran;Jason Gu

引用次数: 0

Empowering Mode-S Radar Systems With Comprehensive Interrogation and Reply Simulation 利用综合审讯和回复模拟增强 Mode-S 雷达系统的能力

IF 2.1

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-03-22 DOI: 10.1109/ICJECE.2024.3392875

Ahmet Öncü;Ahmet Günhan Aydın;Artun Akdoğan

引用次数: 0

IEEE Canadian Journal of Electrical and Computer Engineering 电气和电子工程师学会《加拿大电气和计算机工程学报

IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2024-03-18 DOI: 10.1109/ICJECE.2024.3359475

引用次数: 0