An efficient polygon marine data update approach based on features matching

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

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MRNIDX - Marine Data Index: Database Description, Operation, Retrieval, and Display

Open-File Report ◽

10.3133/ofr82397 ◽

1982 ◽

Author(s):

Valerie F. Paskevich

Keyword(s):

Marine Data

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Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

IEEE Communications Surveys & Tutorials ◽

10.1109/comst.2021.3053118 ◽

2021 ◽

pp. 1-1

Author(s):

Mohammad Jahanbakht ◽

Wei Xiang ◽

Lajos Hanzo ◽

Mostafa Rahimi Azghadi

Keyword(s):

Data Analytics ◽

Comprehensive Survey ◽

Marine Data

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Elastic Least-Squares Imaging in Tilted Transversely Isotropic Media for Multicomponent Land and Pressure Marine Data

Surveys in Geophysics ◽

10.1007/s10712-020-09588-3 ◽

2020 ◽

Vol 41 (4) ◽

pp. 805-833 ◽

Cited By ~ 3

Author(s):

Jidong Yang ◽

Biaolong Hua ◽

Paul Williamson ◽

Hejun Zhu ◽

George McMechan ◽

...

Keyword(s):

Least Squares ◽

Transversely Isotropic ◽

Transversely Isotropic Media ◽

Isotropic Media ◽

Marine Data

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Restricted model domain time Radon transforms

Geophysics ◽

10.1190/geo2016-0270.1 ◽

2016 ◽

Vol 81 (6) ◽

pp. A17-A21 ◽

Cited By ~ 7

Author(s):

Juan I. Sabbione ◽

Mauricio D. Sacchi

Keyword(s):

Inverse Problem ◽

Seismic Data ◽

Computational Cost ◽

Synthetic Data ◽

Model Space ◽

Radon Transforms ◽

Iterative Solver ◽

Hard Thresholding ◽

Restricted Model ◽

Marine Data

The coefficients that synthesize seismic data via the hyperbolic Radon transform (HRT) are estimated by solving a linear-inverse problem. In the classical HRT, the computational cost of the inverse problem is proportional to the size of the data and the number of Radon coefficients. We have developed a strategy that significantly speeds up the implementation of time-domain HRTs. For this purpose, we have defined a restricted model space of coefficients applying hard thresholding to an initial low-resolution Radon gather. Then, an iterative solver that operated on the restricted model space was used to estimate the group of coefficients that synthesized the data. The method is illustrated with synthetic data and tested with a marine data example.

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Design of Marine Data Warehouse ETL System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.668-669.1374 ◽

2014 ◽

Vol 668-669 ◽

pp. 1374-1377 ◽

Cited By ~ 1

Author(s):

Wei Jun Wen

Keyword(s):

Decision Making ◽

Data Quality ◽

Data Warehouse ◽

Environmental Data ◽

Data Sources ◽

Quality Data ◽

Critical Step ◽

Marine Data ◽

Data Extracting ◽

Marine Environmental

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.

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