scholarly journals An IOT-enabled System for Marine Data Aquisition and Cartography

2017 ◽  
Author(s):  
Rabab Al-Zaidi ◽  
John Woods ◽  
Mohammed Al-Khalidi ◽  
Huosheng Hu
Keyword(s):  
Data Aquisition ◽  
Marine Data

Chemical structure of diamond-like carbon thin films

1990 ◽  
Vol 48 (4) ◽  
pp. 710-711
Author(s):  
N.-H. Cho ◽  
K.M. Krishnan ◽  
D.B. Bogy
Keyword(s):  
Electrical Resistivity ◽  
Chemical Structure ◽  
Diamond Like Carbon ◽  
Chemical Structures ◽  
Sputtering Power ◽  
Data Aquisition ◽  
Equilibrium Phases ◽  
Electron Energy Loss ◽  
Power Densities ◽  
Preparation Techniques

Diamond-like carbon (DLC) films have attracted much attention due to their useful properties and applications. These properties are quite variable depending on film preparation techniques and conditions, DLC is a metastable state formed from highly non-equilibrium phases during the condensation of ionized particles. The nature of the films is therefore strongly dependent on their particular chemical structures. In this study, electron energy loss spectroscopy (EELS) was used to investigate how the chemical bonding configurations of DLC films vary as a function of sputtering power densities. The electrical resistivity of the films was determined, and related to their chemical structure.DLC films with a thickness of about 300Å were prepared at 0.1, 1.1, 2.1, and 10.0 watts/cm2, respectively, on NaCl substrates by d.c. magnetron sputtering. EEL spectra were obtained from diamond, graphite, and the films using a JEOL 200 CX electron microscope operating at 200 kV. A Gatan parallel EEL spectrometer and a Kevex data aquisition system were used to analyze the energy distribution of transmitted electrons. The electrical resistivity of the films was measured by the four point probe method.

Advanced mid-water tools for 4D marine data fusion and analysis

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Maurice Doucet ◽  
Colin Ware ◽  
Roland Arsenault ◽  
Tom Weber ◽  
Mashkoor Ahmad Malik ◽  
...  
Keyword(s):  
Data Fusion ◽  
Marine Data

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

2021 ◽  
pp. 1-1
Author(s):  
Mohammad Jahanbakht ◽  
Wei Xiang ◽  
Lajos Hanzo ◽  
Mostafa Rahimi Azghadi
Keyword(s):  
Data Analytics ◽  
Comprehensive Survey ◽  
Marine Data

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

2020 ◽  
Vol 41 (4) ◽  
pp. 805-833 ◽  
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

Restricted model domain time Radon transforms

Geophysics ◽  
2016 ◽  
Vol 81 (6) ◽  
pp. A17-A21 ◽  
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.

Design of Marine Data Warehouse ETL System

2014 ◽  
Vol 668-669 ◽  
pp. 1374-1377 ◽  
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.

scholarly journals High-resolution marine data and transient simulations support orbital forcing of ENSO amplitude since the mid-Holocene

2021 ◽  
Vol 268 ◽  
pp. 107125
Author(s):  
Matthieu Carré ◽  
Pascale Braconnot ◽  
Mary Elliot ◽  
Roberta d’Agostino ◽  
Andrew Schurer ◽  
...  
Keyword(s):  
High Resolution ◽  
Orbital Forcing ◽  
Transient Simulations ◽  
Marine Data

3D deghosting for full-azimuth and ultra-long offset marine data

2014 ◽  
Author(s):  
Qiaofeng Wu* ◽  
Chang-Chun Lee ◽  
Wei Zhao ◽  
Ping Wang ◽  
Yunfeng Li
Keyword(s):  
Long Offset ◽  
Marine Data
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