IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Abstract

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.

Using Artificial Neural Networks for Predicting Ship Fuel Consumption

“…With the integration of IoT technology, the introduction of remote-control systems has allowed for the monitoring of a new generation of smart ships from command centres located on land. With recent advances in IoT technology, the availability of Wi-Fi-enabled sensors mounted on ship equipment and machinery has provided access and continuous collection of a ship's navigational information and operational data [201], [202]. Once collected, this large amount of time-series data must be processed and analysed to reveal insights on ship performance.…”

Retracted: IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”