A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders
文献类型:期刊论文
作者 | Xu ZZ(许真珍)1; Li, Lu1; Yu JC(俞建成)2![]() |
刊名 | China Ocean Engineering
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出版日期 | 2019 |
卷号 | 33期号:2页码:172-184 |
关键词 | big marine data early warning marine environment underwater gliders |
ISSN号 | 0890-5487 |
产权排序 | 2 |
英文摘要 | This study analyzes and summarizes seven main characteristics of the marine data sampled by multiple underwater gliders. These characteristics such as the big data volume and data sparseness make it extremely difficult to do some meaningful applications like early warning of marine environment. In order to make full use of the sea trial data, this paper gives the definition of two types of marine data cube which can integrate the big marine data sampled by multiple underwater gliders along saw-tooth paths, and proposes a data fitting algorithm based on time extraction and space compression (DFTS) to construct the temperature and conductivity data cubes. This research also presents an early warning algorithm based on data cube (EWDC) to realize the early warning of a new sampled data file. Experiments results show that the proposed methods are reasonable and effective. Our work is the first study to do some realistic applications on the data sampled by multiple underwater vehicles, and it provides a research framework for processing and analyzing the big marine data oriented to the applications of underwater gliders. |
WOS关键词 | SURFACE |
资助项目 | National Natural Science Foundation of China[U1709202] ; National Natural Science Foundation of China[61502069] ; Foundation of State Key Laboratory of Robotics[2015-o03] ; Fundamental Research Funds for the Central Universities[DUT18JC39] ; Fundamental Research Funds for the Central Universities[DUT17JC45] |
WOS研究方向 | Engineering ; Water Resources |
语种 | 英语 |
CSCD记录号 | CSCD:6473691 |
WOS记录号 | WOS:000465934800005 |
源URL | [http://ir.sia.cn/handle/173321/24673] ![]() |
专题 | 海洋机器人卓越创新中心 |
通讯作者 | Yu JC(俞建成) |
作者单位 | 1.School of Software Technology, Dalian University of Technology, Dalian 116620, China 2.The State Key laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Xu ZZ,Li, Lu,Yu JC,et al. A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders[J]. China Ocean Engineering,2019,33(2):172-184. |
APA | Xu ZZ,Li, Lu,Yu JC,Xu XJ,&Jia, Mingfei.(2019).A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders.China Ocean Engineering,33(2),172-184. |
MLA | Xu ZZ,et al."A Marine Environment Early Warning Algorithm Based on Marine Data Sampled by Multiple Underwater Gliders".China Ocean Engineering 33.2(2019):172-184. |
入库方式: OAI收割
来源:沈阳自动化研究所
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