Internet of Things in Business Transformation

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The objective of this book is to teach what IoT is, how it works, and how it can be successfully utilized in business. This book helps to develop and implement a powerful IoT strategy for business transformation as well as project execution. Digital change, business creation/change and upgrades in the ways and manners in which we work, live, and engage with our clients and customers, are all enveloped by the Internet of Things which is now named “Industry 5.0” or “Industrial Internet of Things. The sheer number of IoT(a billion+), demonstrates the advent of an advanced business society led by sustainable robotics and business intelligence. This book will be an indispensable asset in helping businesses to understand the new technology and thrive.

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CONTENTS

1 Cover

2 Title Page

3 Copyright

4 Preface

5 1 Applications of IIoT-Based Systems in Detection Leakage in Pipeline Custody Transfer of Hydrocarbon Products 1.1 Introduction 1.2 Industrial Internet of Things 1.3 Pipeline Leaks 1.4 Conclusion References

6 2 Heart Rate Monitoring System 2.1 Introduction 2.2 Project Objectives 2.3 System Architecture 2.4 Conclusion References

7 3 An Efficient Clustering Technique for Wireless Body Area Networks Based on Dragonfly Optimization 3.1 Introduction 3.2 Literature Review 3.3 Clustering Technique 3.4 Implementation Steps 3.5 Result and Simulations 3.6 Conclusion References

8 4 Transformational Technology for Business Transformation in the New Era 4.1 Introduction 4.2 Digital Transformation and its Big Trend 4.3 Transformational Technology 4.4 How to Get “Digital Transformation” in a Right Way for Any Business 4.5 Relevance of IoT in Digital Transformation 4.6 Conclusion References

9 5 Future of Artificial Intelligence: Will People be at More of an Advantage Than They Are Today? 5.1 Introduction 5.2 The State of Artificial Intelligence (AI) 5.3 How Do Customers Interact with AI Nowadays? 5.4 AI as Digital Assistants 5.5 AI and Privacy, Data Security References

10 6 Classifier for DDoS Attack Detection in Software Defined Networks 6.1 Introduction 6.2 Related Work 6.3 DDoS Attacks Overview 6.4 Types of DDoS Attacks 6.5 DDoS Detection Techniques in SDN 6.6 Detection Using ML Techniques 6.7 Proposed Work Using SVM Classifier 6.8 Data Set Used 6.9 Proposed Methodology 6.10 Existing & Proposed Results 6.11 Conclusion & Future Work References

11 7 IoT-Based Optimized and Secured Ecosystem for Energy Internet: The State-of-the-Art 7.1 Introduction 7.2 Distinguishing Features Between Home Automation and Smart Home 7.3 Energy Generation Shift Towards Renewable Sources 7.4 Robust Energy Management with IoT Technology 7.5 Solution from IoT Technology for Secured Transactions 7.6 Role of IoT in Smart Grid 7.7 Bottleneck Areas of Existing System 7.8 Fusion of Energy Internet with IoT and Blockchain 7.9 Challenges for Safe and Secured Ecosystem in Energy Internet References

12 8 A Novel Framework for Intelligent Spaces 8.1 Introduction 8.2 Intelligent Space 8.3 Product Identification 8.4 Position Measurements 8.5 Proposed Framework 8.6 Conclusions References

13 9 Defense and Isolation in the Internet of Things 9.1 Introduction 9.2 IoT Security Overview 9.3 Security Frameworks for IoT 9.4 Privacy in IoT Networks 9.5 Summary and Conclusions References

14 10 Realization of Business Intelligence using Machine Learning 10.1 Introduction 10.2 Business Intelligence and Machine Learning Technology 10.3 Literature Study 10.4 Business Analytics and Machine Learning 10.5 IoT in Machine Learning 10.6 Conclusion References

15 11 Current Trends and Future Scope for the Internet of Things 11.1 Introduction 11.2 IoT in Healthcare 11.3 IoT in Agriculture 11.4 IoT in Industries 11.5 IoT-Based Smart Cities 11.6 IoT in Robotics 11.7 Conclusion and Future Scope References

16 12 Challenges for Agile Autonomous Team in Business Organization 12.1 Introduction 12.2 Literature Review 12.3 Types of Autonomy 12.4 Challenges for Autonomous Team 12.5 Suggestions for Training 12.6 Conclusion References

17 13 Role of Big Data Analytics in Business Transformation 13.1 Introduction to Technology-Enabled Business Transformation 13.2 Introduction to Big Data, Big Data Analytics & Business Intelligence 13.3 Big Data Analytics and its Role in Business Transformation 13.4 Successful Real World Cases Leveraging BDA for Business Transformation 13.5 BDA Capability Building Challenges 13.6 Conclusion References

18 14 Internet of Thing Trends 14.1 Architecture of IoT 14.2 Dependency of Healthcare on IoT 14.3 High Demand of Smart Homes 14.4 Environmental Monitoring 14.5 Waste Management 14.6 Smart Parking 14.7 Routing System for Inner-City Bus Riders 14.8 Self-Ruling Driving References

19 15 Internet of Things: Augmenting Business Growth 15.1 Introduction 15.2 Role of IoT in the Business Growth 15.3 Short Comes or Hurdles of IoT References

20 Index

21 End User License Agreement

List of Tables

1 Chapter 3 Table 3.1 Simulation parameters. Table 3.2 Dragonfly Algorithm.

2 Chapter 4 Table 4.1 Various objectives of organizations for transformation given by 460 ex...

3 Chapter 9Table 9.1 IoT world forum reference model.Table 9.2 Security mechanisms to mitigate the threats in the IoT networks.Table 9.3 Bluetooth smart device protocol stack.

4 Chapter 10Table 10.1 Interdisciplinary domains associated with research in IoT.

5 Chapter 13Table 13.1 Summary of Case Studies [16].

List of Illustrations

1 Chapter 1 Figure 1.1 Pipeline mapping—US. Figure 1.2 Percentage break-up of reasons causing pipeline leaks. Figure 1.3 Vapor Sampling method of pipeline leak detection. Figure 1.4 Acoustic method of leak detection. Figure 1.5 Digital signal processing based pipeline leakage detection. Figure 1.6 Industrial Internet of Things-based architecture for pipeline leak de... Figure 1.7 Use of support vector machine for pipeline leak detection. Figure 1.8 Evaluation of random forest classifier for leakage detection.

2 Chapter 2 Figure 2.1 Hardware components. Figure 2.2 Pulse sensor connection. Figure 2.3 The LinkIt One Board. Figure 2.4 Pulse Sensor kit Figure 2.5 Sign-up flowchart. Figure 2.6 Basic flow. Figure 2.7 Sign-in page. Figure 2.8 Choose an account. Figure 2.9 Options. Figure 2.10 List of patients. Figure 2.11 Patient details page.

3 Chapter 3 Figure 3.1 Base station is not in access of some WBANs. Figure 3.2 Inter-WBAN clustering. Figure 3.3 Flow chart of proposed scheme. Figure 3.4 Primitive corrective patterns between dragonfly. Figure 3.5 Transmission range versus Cluster Heads for Nodes 50–200. Figure 3.6 Transmission range versus Cluster Heads for Nodes 250 and 300.

4 Chapter 4 Figure 4.1 CEO Top Business Priorities for 2018 and 2019 Source: Gartner.

5 Chapter 6Figure 6.1 Architecture of SDN.Figure 6.2 DDoS attacks types.

6 Chapter 7Figure 7.1 Home automation & smart home.Figure 7.2 Internet-of-Things & Web-of-Things.Figure 7.3 Devices communicating through cloud servers.Figure 7.4 Process of secured transaction using blockchain.Figure 7.5 De-centralized banking system using blockchain.Figure 7.6 Traditional network and software-defined network.Figure 7.7 Energy transaction through blockchain.Figure 7.8 Smart car performing secured transactions through blockchain.

7 Chapter 8Figure 8.1 Transmitter and receiver.Figure 8.2 Framework for Intelligent Spaces.

8 Chapter 9Figure 9.1 An overview of IoT and IP security protocols.

9 Chapter 10Figure 10.1 Applications of Machine Learning.Figure 10.2 Basic features of Business Intelligence.Figure 10.3 Business analytics applications of Machine Learning.Figure 10.4 Scope of business analytics.Figure 10.5 Sample data source of sales transaction for business analytics.Figure 10.6 Decision action cycle in Business Intelligence.Figure 10.7 Decision types at different level.

10 Chapter 13Figure 13.1 Digital transformation & growth rate (Forbes.com, 2019).Figure 13.2 Dimensions of big data.Figure 13.3 Big data analytics value.Figure 13.4 Relationship between big data analytics & business intelligence.Figure 13.5 Strategic value of BDA.Figure 13.6 Strategic role of BDA.Figure 13.7 A conceptual framework for BDA adoption in business.Figure 13.8 BDA capability building challenges.

11 Chapter 14The 4 Stage IoT Solutions Architecture

12 Chapter 15Figure 15.1 3-layer architecture of IoT [4].Figure 15.2 Layer IoT architecture [4].Figure 15.3 Layer architecture of IoT [5].

Guide

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