Fig 10 - available via license: CC BY
Content may be subject to copyright.
Source publication
With the development of electronic technology, remote monitoring has become the main development direction of data management. The monitoring of indoor environmental data is our main research content. The OneNET platform provided by China mobile communications corporation is used as the coordination command center of the intelligent monitoring appl...
Citations
... Xu mainly studied the automatic shipping identification system and put forward the traffic simulation model for the automatic identification system [10]. Based on the above, Jin further studied GIS and GPS [11]. Skarga Bandurova focused on the theory of automatic control during shipping [12]. ...
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.
