Marine big data (Record no. 35245)
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000 -LEADER | |
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fixed length control field | 03757cam a22003018i 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | CUTN |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20210706151906.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 190215s2019 nju b 000 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789811202483 (hardcover) |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 551.460 |
Edition number | 23 |
Item number | HUA |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Huang, Dongmei, |
240 10 - UNIFORM TITLE | |
Uniform title | <a href="Hai yang da shu ju">Hai yang da shu ju</a> |
245 10 - TITLE STATEMENT | |
Title | Marine big data |
Statement of responsibility, etc | Dongmei Huang, Wei Song, Guoliang Zou, Shanghai Ocean University, China. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | pages cm |
505 0# - FORMATTED CONTENTS NOTE | |
Contents | Historical evolution of marine data -- Acquisition and characteristics of marine big data -- Classification of marine big data -- Research on the key technologies of marine big data application -- Application of marine big data in Shanghai storm surge disaster assistant decision - -- Making system -- Monitoring of ocean oil spills based on marine remote sensing big data -- Marine big data application on sea ice classification with deep learning -- Future development trend of ocean big data. |
Title | Contents<br/>Chapter 1 Historical Evolution of Marine Data<br/>1.1 Traditional ocean data<br/>1.2 From traditional oceanic data to large oceanic data<br/>1.3 Present situation of ocean big data development<br/>References<br/>Chapter 2 Acquisition and Characteristics of Marine Big Data<br/>2.1 Acquisition of marine big data<br/>2.2 Characteristics of marine data<br/>References<br/>Chapter 3 Classification of Marine Big Data<br/>3.1 Passively generated marine big data<br/>3.2 Marine big data produced automatically<br/>References<br/>Chapter 4 Research on the Key Technologies of Marine Big Data Application<br/>4.1 Storage of marine big data<br/>4.2 Analysis and mining of marine big data<br/>4.3 Quality control of marine big data<br/>4.4 The security of marine big data<br/>References<br/>Chapter 5 Application of Marine Big Data in the Shanghai Storm Surge Disaster Assistant Decision-Making System<br/>5.1 Application framework of marine big data under cloud computing platform<br/>5.2 Analysis of the storm surge disaster forecast in Shanghai<br/>5.3 Evaluation of storm surge disasters in Shanghai<br/>5.4 Shanghai storm surge disaster assistant decision-making system<br/>5.5 Application of 3D visualization technologies in storm surge disaster<br/>References<br/>Chapter 6 Monitoring of Ocean Oil Spills Based on Marine Remote Sensing Big Data<br/>6.1 Research background of marine oil spills monitoring<br/>6.2 Marine oil spills analysis and process for remote sensing images<br/>6.3 Research on marine oil spills monitoring technology for cloud computing environment<br/>References<br/>Chapter 7 The Application of Marine Big Data to Sea Ice Classification with Deep Learning<br/>7.1 Background of sea ice research<br/>7.2 Methods of sea ice detection<br/>7.3 Sea ice type classification based on deep learning<br/>7.4 Conclusion<br/>References<br/>Chapter 8 Future Development Trends in Ocean Big Data<br/>8.1 Prospects of marine big data processing technology<br/>8.2 Prospects for application of marine big data<br/>References<br/>Index |
520 ## - SUMMARY, ETC. | |
Summary, etc | "As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology. The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Oceanography |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Big data. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | General Books |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Relator term | author. |
240 10 - UNIFORM TITLE | |
Language of a work | English. |
263 ## - PROJECTED PUBLICATION DATE | |
Projected publication date | 1905 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes bibliographical references. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
General subdivision | Data processing. |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | 7 |
b | cbc |
c | orignew |
d | 1 |
e | ecip |
f | 20 |
g | y-gencatlg |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Location | Shelving location | Date of Cataloging | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Dewey Decimal Classification | Non-fiction | CUTN Central Library | CUTN Central Library | Sciences | 06/07/2021 | 551.460 HUA | 44013 | 06/07/2021 | 06/07/2021 | General Books |