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Data Analytics in the Era of the Industrial Internet of Things, Dagnino Aldo


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Автор: Dagnino Aldo
Название:  Data Analytics in the Era of the Industrial Internet of Things
ISBN: 9783030631413
Издательство: Springer
Классификация:



ISBN-10: 3030631419
Обложка/Формат: Paperback
Страницы: 152
Вес: 0.22 кг.
Дата издания: 06.02.2022
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 50 tables, color; 53 illustrations, color; 8 illustrations, black and white; xvii, 133 p. 61 illus., 53 illus. in color.
Размер: 23.39 x 15.60 x 0.84 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Chapter 1: Industrial Internet of Things FrameworkLayered View of IIoT systemsAnalytics Capabilities in IIoT Systems Can Increase Job Satisfaction Examples of IIoT Business Models Power Distribution Systems in the IIoTIIoT in Process Control Alarm Management Power Generation Turbines Anomaly Detection Increase Share of Wallet of Industrial Services and Products Power Transformers and Utility Equipment Analysis Demand Forecast of Products and Spare Parts ReferencesChapter 2: Industrial AnalyticsMachine Learning Supervised Machine Learning Decision Trees for Classification and RegressionRandom Forest Classification and Regression Neural Networks for Classification and Regression Sentiment Analysis and Machine Learning Support Vector Machines Unsupervised Machine Learning Association Rule MiningK-Means Clustering Anomaly Detection Machine LearningAnalytic Conduits References Chapter 3: Machine Learning to Predict Fault Events in Power Distribution Systems Problem Statement Background Data for Forecasting Fault Events in Power Distribution Grids Forecasting Fault Events Creation of Machine Learning Models Zone Prediction ModelsSubstation Prediction ModelsInfrastructure Prediction ModelsFeeder Prediction ModelsProactive Fault Analytics Helps Improving the Business Model and Employee SatisfactionReferencesChapter 4: Analyzing Events and Alarms in Control Systems Problem StatementBackgroundAnatomy of Alarms in IIoT Distributed Control SystemsAlarm Data Alarm Management Analytics Models Sequence Pattern Mining and Association Rule MiningAlarm Baskets Alarm De-chattering AnalysisAlarm Sequence AnalysisMeasures of Significance or Metrics for Sequence AnalysisEnhancing Expert Knowledge of Plant Operations Through Advanced Analytics Alarm ManagementReferencesChapter 5: Condition Monitoring of Rotating Machines in Power Generation Plants Problem Statement BackgroundTurbine Telemetry DataAnalytics for Anomaly Detection of Rotating MachinesStatistical Analysis of Turbine DataClustering Analysis of Turbine DataAnomaly Detection Using Connectivity-based Outlier FactorEnhancing Domain Knowledge of Power Engineers Through Anomaly Detection SystemReferencesChapter 6: Machine Learning Recommender for New Products and Services Problem StatementBackgroundHistorical DataProduct and Services Recommender AnalyticsCustomer Classification AnalyticsMarket Basket AnalysisSentiment Analysis Enhancing Domain Knowledge of Service Engineer Salespeople Through the Product and Services Recommender System ReferencesChapter 7: Managing Analytic Projects in the IIoT Enterprise Definition Phases of an Analytics Project in the IIoT Enterprise Delivery Framework for IIoT Advanced Analytics ProjectsSustaining Phase Requirements Engineering Project Management Process Data Preparation Phase Analytics and Implementation Phase Technical Solution Process Verification and Validation Processes Agile Kanban Development Lifecycle Barrie

The Thoughtless Design of Everyday Things

Автор: Wiegers Karl
Название: The Thoughtless Design of Everyday Things
ISBN: 1604271787 ISBN-13(EAN): 9781604271782
Издательство: Mare Nostrum (Eurospan)
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Цена: 31730.00 T
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.

Blockchain Data Analytics for Dummies

Автор: Solomon Michael G.
Название: Blockchain Data Analytics for Dummies
ISBN: 1119651778 ISBN-13(EAN): 9781119651772
Издательство: Wiley
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Цена: 27450.00 T
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!


Introduction to industrial internet of things and industry 4.0

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
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Цена: 80630.00 T
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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.

Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things

Автор: Hill Richard, Berry Stuart
Название: Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things
ISBN: 3030791033 ISBN-13(EAN): 9783030791032
Издательство: Springer
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Цена: 51230.00 T
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Описание:

1. Introduction to Industrial Analytics.- 2. Measuring Performance.- 3. Modelling and Simulating Systems.- 4. Optimising Systems.- 5. Production Control and Scheduling.- 6. Simulating Demand Forecasts.- 7. Investigating Time Series Data.- 8. Determining the Minimum Information for Effective Control.- 9. Constructing Machine Learning Models for Prediction.- 10. Exploring Model Accuracy.- 11. Building a Business Case for Sensing Technology Adoption.- 12. Improving Throughput by Utilising Sensor Data.- 13. Constructing a Digital Factory Model to Optimise Production.- 14. Examining a Digital Supply Chain.- 15. Probability Essentials.- 16. Building Simulations with Spreadsheets.- 17. Using Python to Construct Manufacturing Models.- 18. Predictive Analytics with KNIME.- 19. Using R to Evaluate Data.- 20. Example Case Study Data.


Protocols and Applications for the Industrial Internet of Things

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)
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Цена: 208830.00 T
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.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 118270.00 T
Наличие на складе: Поставка под заказ.
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.

Industrial Data Analytics for Diagnosis and Prognosis

Автор: Zhou Shiyu
Название: Industrial Data Analytics for Diagnosis and Prognosis
ISBN: 1119666287 ISBN-13(EAN): 9781119666288
Издательство: Wiley
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Цена: 119270.00 T
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.


Plunkett`s Internet of Things (IoT) & Data Analytics Industry Almanac 2021

Автор: Jack W. Plunkett
Название: Plunkett`s Internet of Things (IoT) & Data Analytics Industry Almanac 2021
ISBN: 1628315911 ISBN-13(EAN): 9781628315912
Издательство: Mare Nostrum (Eurospan)
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Цена: 317670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
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Цена: 144410.00 T
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. 

The Internet of Things and Big Data Analytics

Название: The Internet of Things and Big Data Analytics
ISBN: 0367342898 ISBN-13(EAN): 9780367342890
Издательство: Taylor&Francis
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Цена: 80630.00 T
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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.

Big Data Analytics for Internet of Things

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: 115050.00 T
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.

Internet of Things: What You Need to Know about Iot, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur

Автор: Wilkins Neil
Название: Internet of Things: What You Need to Know about Iot, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur
ISBN: 1799092216 ISBN-13(EAN): 9781799092216
Издательство: Неизвестно
Цена: 15620.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you want to learn about the Internet of Things, then keep reading...

You were just woken up in the middle of the night by smart lightbulbs in your house blasting at full power for no reason.

Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment, Alexa starts quietly whispering sweet nonsense to herself in the corner and Roomba starts slamming into the nearest wall.

What do you do?

Is your house haunted or have the machines finally started an uprising? Neither - it's just another day in the IoT wonderland.

This book reveals the concepts and methods powering perhaps the most ambitious technological concept of the twenty-first century - the Internet of Things (IoT) - and parades all the ridiculously named gadgets techies imagined to saturate the market before the competition.

Mystical, cheap and scalable, the idea of IoT attracts creative grifters of all shapes and sizes to try their luck in pushing yet another completely unnecessary gadget to the market in hopes of fleecing gullible buyers.

Some of the topics you'll find in the book are:

  • Origins of IoT
  • IoT Security
  • Ethical Hacking
  • Internet of Things
  • Under The Cushy Foot of Tech Giants
  • The Power of Infinite Funds
  • IoT Toys
  • Bio-robotics
  • Predictive Analytics
  • Machine Learning
  • Artificial Intelligence
  • Cybersecurity
  • Big Data
  • Business Intelligence
  • Augmented Reality
  • Virtual Reality
  • Our Future
  • And much, much more
If you want to learn more about the Internet of Things, then scroll up and click "add to cart"

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