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Marine Big Data

Author: Huang Dongmei

Publisher: World Scientific

Published: 2019-07-08

Total Pages: 364

ISBN-13: 9811202508

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.

Ocean Energy Modeling and Simulation with Big Data

Author: Vikas Khare

Publisher: Butterworth-Heinemann

Published: 2020-04-21

Total Pages: 371

ISBN-13: 0128189053

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Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate control systems. The use of Map Reduce algorithms in systems optimization is examined, along with the application of NoSQL in systems management. Actual data collection through web-based applications and social networks is discussed, along with practical applications of recommendations. Introduces computational methods for processing and analyzing data to predict ocean energy system production, assess their efficiency, and ensure their reliable connection to power grids Covers data processing solutions like Hadoop, NoSQL, Map Reduce and Lambda, discussing their applications in ocean energy for system design and optimization Provides practical exercises that demonstrate the concepts explored in each chapter

Ocean Science Data

Author: Giuseppe Manzella

Publisher: Elsevier

Published: 2021-10-02

Total Pages: 398

ISBN-13: 0128225955

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Ocean Science Data: Collection, Management, Networking, and Services presents the evolution of ocean science, information, theories, and data services for oceanographers looking for a better understanding of big data. The book is divided into chapters organized under the following main issues: marine science, history and data archaeology, data services in ocean science, society-driven data, and coproduction and education. Throughout the book, particular emphasis is put on data products quality and big data management strategy; embracing tools enabling data discovery, data preparation, self-service data accessibility, collaborative semantic metadata management, data standardization, and stream processing engines. Ocean Science Data provides an opportunity to start a new roadmap for data management issues, to be used for future collaboration among disciplines. This will include a focus on organizational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration, and continuous improvement of data management organization. This book is written for ocean scientists at postgraduate level and above as well as marine scientists and climate change scientists. Presents a coherent overview of state-of-the-art research concerning ocean data Provides an in-depth discussion of how ocean data impact all scales of the planetary system Includes global case studies from experts in ocean data

Computation and Big Data for Transport

Author: Pedro Diez

Publisher: Springer Nature

Published: 2020-02-28

Total Pages: 252

ISBN-13: 3030377520

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This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and air applications. The book seeks to answer the question of how computational research in transport can provide innovative solutions to Green Transportation challenges identified in the ambitious Horizon 2020 program. In particular, the respective papers present the state of the art in transport modeling, simulation and optimization in the fields of maritime, aeronautics, automotive and logistics research. In addition, the content includes two white papers on transport challenges and prospects. Given its scope, the book will be of interest to students, researchers, engineers and practitioners whose work involves the implementation of Intelligent Transport Systems (ITS) software for the optimal use of roads, including safety and security, traffic and travel data, surface and air traffic management, and freight logistics.

Big Data Computing and Communications

Author: Yu Wang

Publisher: Springer

Published: 2016-07-18

Total Pages: 466

ISBN-13: 3319425536

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This book constitutes the proceedings of the Second International Conference on Big Data Computing and Communications, BigCom 2016, held in Shenyang, China, in July 2016. The 39 papers presented in this volume were carefully reviewed and selected from 90 submissions. BigCom is an international symposium dedicated to addressing the challenges emerging from big data related computing and networking. The conference is targeted to attract researchers and practitioners who are interested in Big Data analytics, management, security and privacy, communication and high performance computing in its broadest sense.

Advances in Artificial Intelligence, Big Data and Algorithms

Author: G. Grigoras

Publisher: IOS Press

Published: 2023-12-19

Total Pages: 1224

ISBN-13: 1643684450

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Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Maritime Informatics

Author: Mikael Lind

Publisher: Springer Nature

Published: 2021-05-17

Total Pages: 135

ISBN-13: 3030727858

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Shipping is the world’s oldest sharing economy and is conducted in a self-organizing manner. Shipping is capital, energy, and information intensive, and with the growing impact of digitalization and climate change, there is a need to rethink the management and operations of this critical global industry - assisted in no small way by maritime informatics. Building upon the recently published inaugural book Maritime Informatics by Springer, this book will address some of the most recent practical developments and experiences, particularly from a global perspective. The focus of the book is to address contemporary movements to tackle global concerns and to complement Maritime Informatics.

Guide to Maritime Informatics

Author: Alexander Artikis

Publisher: Springer Nature

Published: 2021-02-08

Total Pages: 336

ISBN-13: 3030618528

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In the last 25 years, information systems have had a disruptive effect on society and business. Up until recently though, the majority of passengers and goods were transported by sea in many ways similar to the way they were at the turn of the previous century. Gradually, advanced information technologies are being introduced, in an attempt to make shipping safer, greener, more efficient, and transparent. The emerging field of Maritime Informatics studies the application of information technology and information systems to maritime transportation. Maritime Informatics can be considered as both a field of study and domain of application. As an application domain, it is the outlet of innovations originating from data science and artificial intelligence; as a field of study, it is positioned between computer science and marine engineering. This new field’s complexity lies within this duality because it is faced with disciplinary barriers yet demands a systemic, transdisciplinary approach. At present, there is a growing body of knowledge that remains undocumented in a single source or textbook designed to assist students and practitioners. This highly useful textbook/reference starts by introducing required knowledge, algorithmic approaches, and technical details, before presenting real-world applications. The aim is to present interested audiences with an overview of the main technological innovations having a disruptive effect on the maritime industry, as well as to discuss principal ideas, methods of operation and applications, and future developments. The material in this unique volume provides requisite core knowledge for undergraduate or postgraduate students, employing an analytical approach with numerous real-world examples and case studies.

Application of Intelligent Systems in Multi-modal Information Analytics

Author: Vijayan Sugumaran

Publisher: Springer Nature

Published: 2021-04-20

Total Pages: 955

ISBN-13: 3030748111

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This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.

2023 International Conference on Marine Equipment & Technology and Sustainable Development

Author: Desen Yang

Publisher: Springer Nature

Published: 2023-08-01

Total Pages: 1258

ISBN-13: 9819942918

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This book contains original, peer-reviewed, and selected research papers that were presented at the 2023 International Conference on Marine Equipment & Technology and Sustainable Development, which took place in Beijing, China on April 1st 2023. The papers cover a range of topics, including but not limited to: the vision and goals of building a maritime community with a shared future, marine machinery and transportation, marine ecology, environmental protection and conservation, marine safety, future ships and marine equipment, marine engineering, marine information and technology, maritime policy, and global governance. The papers included in this volume provide the latest findings on methodologies, algorithms, and applications in marine equipment and technology, as well as sustainable development. As a result, this book is an invaluable resource for researchers, engineers, and university students who are interested in these fields.