IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm
Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/2408550 |
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| _version_ | 1850168340958412800 |
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| author | Jing Chen |
| author_facet | Jing Chen |
| author_sort | Jing Chen |
| collection | DOAJ |
| description | Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials. |
| format | Article |
| id | doaj-art-d8d97d81612447639be2d89a72e4642b |
| institution | OA Journals |
| issn | 1687-5257 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-d8d97d81612447639be2d89a72e4642b2025-08-20T02:20:58ZengWileyJournal of Control Science and Engineering1687-52572022-01-01202210.1155/2022/2408550IOT Monitoring System for Ship Operation Management Based on YOLOv3 AlgorithmJing Chen0Jiangsu Maritime InstituteCombined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials.http://dx.doi.org/10.1155/2022/2408550 |
| spellingShingle | Jing Chen IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm Journal of Control Science and Engineering |
| title | IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm |
| title_full | IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm |
| title_fullStr | IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm |
| title_full_unstemmed | IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm |
| title_short | IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm |
| title_sort | iot monitoring system for ship operation management based on yolov3 algorithm |
| url | http://dx.doi.org/10.1155/2022/2408550 |
| work_keys_str_mv | AT jingchen iotmonitoringsystemforshipoperationmanagementbasedonyolov3algorithm |