Data Analytics in the Era of the Industrial Internet of Things, Dagnino Aldo
Автор: Wiegers Karl Название: The Thoughtless Design of Everyday Things ISBN: 1604271787 ISBN-13(EAN): 9781604271782 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4759.00 р. Наличие на складе: Нет в наличии.
Описание: Have you ever noticed how many products appear to be designed by someone who has never used a product of that kind before? Nearly everyone has encountered websites, software apps, cars, appliances, and other products that made them wonder what the designers were thinking. The Thoughtless Design of Everyday Things presents more than 150 examples of products that violate nine fundamental design principles, along with suggestions for improving many of the flawed user interfaces and other design problems. These examples of thoughtless design reveal 70 specific lessons that designers ought to heed as they craft the user experience. This book describes numerous specific practices for enhancing product usability through usage-centered design strategies. You'll also see more than 40 products that exhibit particularly thoughtful designs, the kinds of products that surprise and delight users. Whether you're a designer, a product development manager, or a thoughtful and curious consumer, you'll find The Thoughtless Design of Everyday Things engaging, informative, and insightful.
Автор: Solomon Michael G. Название: Blockchain Data Analytics for Dummies ISBN: 1119651778 ISBN-13(EAN): 9781119651772 Издательство: Wiley Рейтинг: Цена: 4117.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get ahead of the curve-learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.
Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data.
Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big dataDiscover the power and potential of blockchain analyticsEstablish data models and quickly mine for insights and resultsCreate data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
Описание: Use the Raspberry Pi and modern computing techniques to build industrial Internet of Things systems. Principles and theoretical aspects of IoT technologies combine with hands-on projects leading to detailed descriptions of several industrial IoT applications. This book presents real-life IoT applications based on the Raspberry Pi, beyond the relatively simplistic demos built for educational purposes or hobbyists.
You'll make the transition from tinkering with a couple of sensors and simple devices to building fully developed products for commercial use and industrial systems. You'll also work with sensors and actuators, web technologies used for communications in IoT networks, and the large-scale deployment of IoT software solutions. And see how to design these systems as well as maintain them long term.
See the Raspberry Pi in a new light that highlights the true industrial potential of the device. Move beyond connecting an LED to the Raspberry Pi and making it blink to actually managing a network of IoT devices. What You'll LearnDesign industrial and large scale professional Internet of Things systems Extend your basic IoT knowledge by building advanced productsLearn how large scale IoT systems are deployed and maintainedWho This Book Is ForAdvanced hobbyists who want to stretch their abilities into the professional sector.
Also professional industrial engineers looking for low-cost solutions to basic IoT needs.
Автор: Sudip Misra, Chandana Roy, Anandarup Mukherjee Название: Introduction to industrial internet of things and industry 4.0 ISBN: 036789758X ISBN-13(EAN): 9780367897581 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Industrial Internet of Things (IIoT) the application of Internet of Things in various industries such as manufacturing, aviation, transportation, supply chain, mining, and healthcare. This book covers the significant aspects of IIoT, including the communication, connectivity, and interoperability, as well as core concepts and business models.
Автор: Cristian Gonzalez Garcia, Vicente Garcia-Diaz, B. Название: Protocols and Applications for the Industrial Internet of Things ISBN: 1522538054 ISBN-13(EAN): 9781522538059 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31324.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Internet of Things (IoT) has become a major influence on the development of new technologies and innovations. When utilized properly, these applications can enhance business functions and make them easier to perform.Protocols and Applications for the Industrial Internet of Things discusses and addresses the difficulties, challenges, and applications of IoT in industrial processes and production and work life. Featuring coverage on a broad range of topics such as industrial process control, machine learning, and data mining, this book is geared toward academicians, computer engineers, students, researchers, and professionals seeking current and relevant research on applications of the IoT.
Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.
Автор: Zhou Shiyu Название: Industrial Data Analytics for Diagnosis and Prognosis ISBN: 1119666287 ISBN-13(EAN): 9781119666288 Издательство: Wiley Рейтинг: Цена: 17891.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model
In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book's two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems.
In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers:
A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions
Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model
An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis
A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals
Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.
Описание: This carefully-researched book covers exciting trends in the dynamic technologies and business sectors of the Internet of Things (IOT) and Machine-to-Machine Communications (M2M). Many industries have put IOT and networked M2M sensors or nodes to work and continue to invest very heavily in advanced research and development (R&D). Today, IOT has synergies with many highly advanced technologies such as artificial intelligence, agtech, transportation equipment, industrial equipment, controls, automation, wireless networks and predictive analytics. This book includes complete details on the innovative, disruptive technologies based on IOT and M2M, plus our analysis of the practical applications of IOT that will lead to exciting new products and services over the mid-term. This reference tool includes statistical tables and thorough market discussions, as well as our highly respected trends analysis. It contains thousands of contacts for business and industry leaders, industry associations, Internet sites and other resources. The corporate section includes our proprietary, in-depth profiles of over 300 leading companies in all facets of IOT, both public and private, U.S. and international. Here you'll find complete profiles of companies that are making news today--the largest, most successful corporations in the IOT business and related sectors. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
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.
Название: The Internet of Things and Big Data Analytics ISBN: 0367342898 ISBN-13(EAN): 9780367342890 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is presents academic and practical research in IoT and big data. With contributions from both practitioners and academic researchers, the book examines new technology and compares it to existing technology. Experimental case studies are related to real-time scenarios.
Автор: Chishti Mohammad Ahsan, Saleem Tausifa Jan Название: Big Data Analytics for Internet of Things ISBN: 1119740754 ISBN-13(EAN): 9781119740759 Издательство: Wiley Рейтинг: Цена: 17258.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: BIG DATA ANALYTICS FOR INTERNET OF THINGS
Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field
Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security.
The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems.
With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers:
A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications
An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc.
A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics
A treatment of machine learning techniques for IoT data analytics
Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve Название: Internet of Things and Big Data Analytics for Smart Generation ISBN: 3030042022 ISBN-13(EAN): 9783030042028 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.
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