87   Artículos

 
en línea
Hongyu Li, Yanjun Fan, Yicheng Wen, Yanchao Zou, Qingfeng Ma and Shaobo Yang    
The Argo buoy detects marine environmental data by making profile movements in the ocean and transmits the profile detection data to the shore base through the communication terminal. However, due to the large volume of data collected from profile detect... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Pengfei Ning, Dianjun Zhang, Xuefeng Zhang, Jianhui Zhang, Yulong Liu, Xiaoyi Jiang and Yansheng Zhang    
The Array for Real-time Geostrophic Oceanography (Argo) program provides valuable data for maritime research and rescue operations. This paper is based on Argo historical and satellite observations, and inverted sea surface and submarine drift trajectori... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jing Li, Jin Fu and Nan Zou    
The underwater channel is bilateral, heterogeneous, uncertain, and exhibits multipath transmission, sound line curvature, etc. These properties complicate the structure of the received pulse, causing great challenges in direct signal identification for r... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jingbei Sun, Huimin Li, Wenming Lin and Yijun He    
Spaceborne synthetic aperture radar (SAR) has been proven to be a useful technique for observing the sea surface wind and current over the open ocean given its all-weather data-gathering capability and high spatial resolution. In addition to the commonly... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li and Zicheng You    
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network?long short-term memory joint fr... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Guozheng Yuan, Chunlin Ning, Lin Liu, Chao Li, Yanliang Liu, Chalermrat Sangmanee, Xuerong Cui, Jinkai Zhao, Jiuke Wang and Weidong Yu    
The application of internal wave recognition to the buoy system is of great significance to enhance the understanding of the ocean internal wave phenomenon and provide more accurate data and information support. This article proposes an automatic interna... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yunzhou Li, Fuai Yang, Shoutu Li, Xiaoyu Tang, Xuejin Sun, Suiping Qi and Zhiteng Gao    
In order to quantitatively analyze the data measurement accuracy of ocean buoys under normal and extreme sea conditions, in this study, we simulated the six-degree-of-freedom motion response of self-designed ocean buoys under different sea conditions bas... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yinghao Qin, Qinglong Yu, Liying Wan, Yang Liu, Huier Mo, Yi Wang, Sujing Meng, Xiangyu Wu, Dandan Sui and Jiping Xie    
In this study, a global-ocean-data-assimilation system based on the three-dimensional variational (3DVAR) scheme is built for operational oceanography. The available observations include satellite altimetry; the satellite-measured sea-surface temperature... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Patrick Ssekitoleko and Shepherd Dhliwayo    
The objective of this research is to appraise the level of entrepreneurial activity in South Africa and to identify the challenges to implementation of the fourth industrial revolution (4IR) that obstruct the leveraging of 4IR technologies to boost entre... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes    
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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