scholarly journals Retraction Note: Monitoring method based on GIS for submarine cable fault data

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Cheng Yanhui
2001 ◽  
Author(s):  
Masakazu Nakada ◽  
Toshio Kawazawa ◽  
Koji Goto

2021 ◽  
Vol 2083 (4) ◽  
pp. 042018
Author(s):  
Kaipeng Li ◽  
Yunge Wang ◽  
Yuan Shao ◽  
Xingxiao Wu

Abstract The submarine cable guarantees the electricity and communication of the island residents. The operation of fishing boats poses a major threat to the submarine cable. Due to the complex environment, manual monitoring has defects such as strong subjective factors and easy fatigue. The paper adopts the intelligent monitoring method, using the object detection algorithm based on deep learning and the camera to monitor the boats on the sea. Use feature pyramid network to enhance the detection of smaller and farther boats. Use deformable convolution to solve the problem of few samples. Experimental results show that model can detect boats. The detection ability of the feature pyramid network is stronger, especially for the distant and smaller boat targets. Using deformable convolution can improve the accuracy of models trained on small dataset.


Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


1990 ◽  
Vol 4 (1) ◽  
pp. 7 ◽  
Author(s):  
S.J. Galloway ◽  
D.E. Woolmer ◽  
B.G. Woodcock

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