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Internet of Things and Analytics for Agriculture, Volume 2, Prasant Kumar Pattnaik; Raghvendra Kumar; Souvik P


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Цена: 13974.00р.
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Автор: Prasant Kumar Pattnaik; Raghvendra Kumar; Souvik P
Название:  Internet of Things and Analytics for Agriculture, Volume 2
ISBN: 9789811506628
Издательство: Springer
Классификация:

ISBN-10: 9811506620
Обложка/Формат: Hardcover
Страницы: 288
Вес: 0.62 кг.
Дата издания: 2020
Серия: Studies in Big Data
Язык: English
Издание: 1st ed. 2020
Иллюстрации: XII, 288 p.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer.


The Art of Electronics

Автор: Horowitz
Название: The Art of Electronics
ISBN: 0521809266 ISBN-13(EAN): 9780521809269
Издательство: Cambridge Academ
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Цена: 13622.00 р.
Наличие на складе: Заказано в издательстве.

Описание: At long last, here is the thoroughly revised and updated, and long-anticipated, third edition of the hugely successful The Art of Electronics. Widely accepted as the best single authoritative text on electronic circuit design, it will be an indispensable reference and the gold standard for anyone in the field.

IoT and Analytics for Agriculture

Автор: Prasant Kumar Pattnaik; Raghvendra Kumar; Souvik P
Название: IoT and Analytics for Agriculture
ISBN: 9811391769 ISBN-13(EAN): 9789811391767
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.

Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things

Автор: Michael G. Pecht, Myeongsu Kang
Название: Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things
ISBN: 1119515335 ISBN-13(EAN): 9781119515333
Издательство: Wiley
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Цена: 20584.00 р.
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Описание:

An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance

A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to:

  • assess methods for damage estimation of components and systems due to field loading conditions
  • assess the cost and benefits of prognostic implementations
  • develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions
  • enable condition-based (predictive) maintenance
  • increase system availability through an extension of maintenance cycles and/or timely repair actions;
  • obtain knowledge of load history for future design, qualification, and root cause analysis
  • reduce the occurrence of no fault found (NFF)
  • subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory

Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment.

Getting Started with the Internet of Things

Автор: Pfister Cuno
Название: Getting Started with the Internet of Things
ISBN: 1449393578 ISBN-13(EAN): 9781449393571
Издательство: Wiley
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Цена: 3166.00 р.
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Описание: Today`s tiny microcontrollers, sensors, and actuators are powerful, inexpensive, and simple enough to code that anyone with basic programming skills can create a variety of fun, useful, and even profitable systems -- and this hands-on guide will quickly show you how it`s done.

Big Data and the Internet of Things

Автор: Stackowiak Robert
Название: Big Data and the Internet of Things
ISBN: 1484209877 ISBN-13(EAN): 9781484209875
Издательство: Springer
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Цена: 6288.00 р.
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Описание: "Your guide to defining an information architecture for emerging trends like Big Data and the Internet of Things"--Page 1 of cover.

Enabling the Internet of Things

Автор: Massimo Alioto
Название: Enabling the Internet of Things
ISBN: 3319514806 ISBN-13(EAN): 9783319514802
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A comprehensive view on integrated circuit and system design for the Internet of Things (IoT), particularly the tiny nodes at its edge, this book looks at how the IoT will evolve. With contributions from industry and academia, it focuses on design techniques for IoT applications, including the fundamental sub-systems encountered in Systems on Chip.

E-Technologies: Embracing the Internet of Things

Автор: Esma A?meur; Umar Ruhi; Michael Weiss
Название: E-Technologies: Embracing the Internet of Things
ISBN: 3319590405 ISBN-13(EAN): 9783319590400
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 7th International Conference on E-Technologies, MCETECH 2017, held in Ottawa, ON, Canada, in May 2017. This year`s conference drew special attention to the ever-increasing role of the Internet of Things (IoT);

Optimization of Manufacturing Systems Using the Internet of Things

Автор: Zhang Yingfeng, Tao Fei
Название: Optimization of Manufacturing Systems Using the Internet of Things
ISBN: 0128099100 ISBN-13(EAN): 9780128099100
Издательство: Elsevier Science
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Цена: 18528.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Optimization of Manufacturing Systems Using the Internet of Things extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility, and interoperability in production planning, execution, and control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system.

As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors.

Internet of Things

Автор: Fatima Hussain
Название: Internet of Things
ISBN: 3319554042 ISBN-13(EAN): 9783319554044
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book describes the building blocks and introductory business models for Internet of Things (IoT). Smart parking system and context aware services are presented as an hybrid model of cloud and Fog Afterwards, various IoT applications and respective business models are discussed.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Автор: Nilanjan Dey; Aboul Ella Hassanien; Chintan Bhatt;
Название: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
ISBN: 3319604341 ISBN-13(EAN): 9783319604343
Издательство: Springer
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Цена: 30745.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.

Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.

Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.

The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Автор: Nilanjan Dey; Aboul Ella Hassanien; Chintan Bhatt;
Название: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
ISBN: 3319868640 ISBN-13(EAN): 9783319868646
Издательство: Springer
Рейтинг:
Цена: 21661.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.  Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer.  Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. 


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