Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation, Ovidiu Vermesan, Joel Bacquet
Автор: Purnomo Hindriyanto Dwi Название: Computational Intelligence in the Internet of Things ISBN: 1522579559 ISBN-13(EAN): 9781522579557 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 188100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.
Автор: Anderson Michael Название: Machine Ethics ISBN: 1108461751 ISBN-13(EAN): 9781108461757 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The subject of this book is a new field of research: developing ethics for machines, in contrast to developing ethics for human beings who use machines. The essays in this volume represent the first steps by philosophers and artificial intelligence researchers toward explaining why it is necessary to add an ethical dimension to machines that function autonomously.
Автор: Jack W. Plunkett Название: Plunkett`s Internet of Things (IoT) & Machine-to-Machine (M2M) Industry Almanac 2019 ISBN: 1628315156 ISBN-13(EAN): 9781628315158 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 317670.00 T Наличие на складе: Невозможна поставка. Описание: The Internet of Things is all about communications—between objects and machines instead of people. The technology powering this revolution is often referred to as machine-to-machine or M2M. We will soon see tens of billions of IoT connected devices worldwide. The result will be a more efficient, more sustainable world. M2M can be as simple as a refrigerator that lets a smartphone app know when you are running low on milk (via Wi-Fi) to a vast, exceedingly complex network of wireless devices connecting all devices in a massive factory. M2M systems that automatically collect data from patients’ bedsides; analyze, chart and store that data; and make the data available to doctors or nurses so that they may take any necessary actions are becoming increasingly powerful. Elsewhere, remote sensors can monitor and transmit the stress level or metal fatigue in a highway bridge or an aircraft wing, or monitor manufacturing processes and product quality in a factory. In our age of growing focus on environmental quality, they can be designed to analyze surrounding air for chemicals, pollutants or particles. Energy efficiency is going to benefit greatly, particularly in newly-built offices and factories. General Electric, Microsoft, Intel and many other top global firms are investing billions of dollars in M2M. The end result will be more reliability, greater safety, sustainability and efficiency in everything from industrial plants to personal cars to air conditioners and agricultural fields.
Автор: Galinina Название: Internet of Things, Smart Spaces, and Next Generation Networks and Systems ISBN: 3319463004 ISBN-13(EAN): 9783319463001 Издательство: Springer Рейтинг: Цена: 98760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the joint refereed proceedings of the 16th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2016, and the 9th Conference on Internet of Things and Smart Spaces, ruSMART 2016, held in St. Petersburg, Russia, in September 2016.
Автор: P.K. Gupta, Tuncer Oren, Mayank Singh Название: Predictive Intelligence Using Big Data and the Internet of Things ISBN: 1522562109 ISBN-13(EAN): 9781522562108 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 204820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time.Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.
Автор: Simon Elias Bibri Название: The Shaping of Ambient Intelligence and the Internet of Things ISBN: 9462391416 ISBN-13(EAN): 9789462391413 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Shaping of Ambient Intelligence and the Internet of Things
Автор: Ovidiu Vermesan, Joel Bacquet Название: Cognitive Hyperconnected Digital Transformation: Internet of Things Intelligence Evolution ISBN: 8793609116 ISBN-13(EAN): 9788793609112 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. The book presents global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the future.
Автор: James Pfrehm Название: Technolingualism: The Mind and the Machine ISBN: 147257835X ISBN-13(EAN): 9781472578358 Издательство: Bloomsbury Academic Рейтинг: Цена: 95040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Since the earliest days of our species, technology and language have evolved in parallel. This book examines the processes and products of this age-old relationship: a phenomenon we’re calling technolingualism -- the mutually influential relationship between language and technology. One the one hand, as humans advance technology to master, control, and change the world around us, our language adapts. More sophisticated social-cultural practices give rise to new patterns of linguistic communication. Language changes in its vocabulary, structures, social conventions, and ideologies. Conversely—and this side of the story has been widely overlooked—the unique features of human language can influence a technology’s physical forms and technical processes. Technolingualism explores the fascinating ways, past and present, by which language and technology have informed each other’s development. The book reveals important corollaries about the universal nature of language and, most importantly, what it means to be human. From our first babbling noises to the ends of our lives, we are innately attuned to the technologies around us, and our language reflects this. We are, all of us, technolinguals.
Автор: Denis Lalanne; Juerg Kohlas Название: Human Machine Interaction ISBN: 3642004369 ISBN-13(EAN): 9783642004360 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Human Machine Interaction, or more commonly Human Computer Interaction, is the study of interaction between people and computers. This title documents the results of the MMI research program on Human Machine Interaction involving 8 projects (selected from a total of 80 proposals) funded by the Hasler Foundation between 2005 and 2008.
Автор: Yunyao Li, Davood Rafiei Название: Natural Language Data Management and Interfaces ISBN: 1681734087 ISBN-13(EAN): 9781681734088 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 66530.00 T Наличие на складе: Невозможна поставка. Описание: The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap.This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces.The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
Автор: Yunyao Li, Davood Rafiei Название: Natural Language Data Management and Interfaces ISBN: 1681734109 ISBN-13(EAN): 9781681734101 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 87780.00 T Наличие на складе: Невозможна поставка. Описание: The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap.This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces.The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
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