10 Chapter 11Figure 11.1 An IoT framework for healthcare monitoring systems [10].Figure 11.2 Hype cycle for the IoT, 2019. Source: Gartner (July 2019).Figure 11.3 Architecture of IoT-based secure system for medical data transfer.Figure 11.4 IoT network architecture for above hospitals [28].
11 Chapter 12Figure 12.1 System architecture.Figure 12.2 Encoding in Reed–Solomon codes.Figure 12.3 Encoding in regeneration codes.Figure 12.4 Decoding in Reed–Solomon codes.Figure 12.5 Decoding in regeneration codes.Figure 12.6 Repair in Reed–Solomon codes.Figure 12.7 Repair in regeneration codes.Figure 12.8 Creating containers for data.Figure 12.9 Chunking input file.Figure 12.10 XOR-chunked files.Figure 12.11 Regeneration of file from select nodes.Figure 12.12 Installing NC-cloud.Figure 12.13 Working with NC-cloud.Figure 12.14 Output of distributed chunks.Figure 12.15 An input file and temp folders.Figure 12.16 Executing the file.Figure 12.17 Time for the upload operation.Figure 12.18 Time for the repair operation.Figure 12.19 Time for check operation.Figure 12.20 Time for download operation.
1 Chapter 1 Table 1.1 Different types of analytics and their examples [11]. Table 1.2 Examples of cognitive application domains [11]. Table 1.3 Question–response pairs for different types of users. Table 1.4 Sample questions to train the application [11]. Table 1.5 Sample of Welltok question/answer pairs [11].
2 Chapter 2 Table 2.1 Various applications in CPS using K-NN. Table 2.2 Various applications in CPS using SVM.Table 2.3 Different metrics in RF.Table 2.4 Various applications in CPS using decision trees.Table 2.5 Different applications in CPS using linear regression.Table 2.6 Various applications in CPS using multi-layer perceptron.Table 2.7 Various applications in CPS using Naïve Bayes.Table 2.8 Role of IoT in CPS.Table 2.9 Big data in cyber-physical system.
3 Chapter 5Table 5.1 Used tools.Table 5.2 Test results for parking space detection.
4 Chapter 9Table 9.1 Features of Cloud Deployment Models for building Cognitive Systems.Table 9.2 Concept Mapping Representation of Cloud Service Models.Table 9.3 Features of Text Analytics Covered by the Top Cloud Service Providers.
5 Chapter 10Table 10.1 Quantum computing influenced domain areas with applications and devel...Table 10.2 Quantum meta-heuristics methods and application area.
6 Chapter 11Table 11.1 IoT in healthcare scr [6].
7 Chapter 12Table 12.1 High availability and integrity layer.Table 12.2 Functional minimum storage regenerating.
1 Cover
2 Table of Contents
3 Title Page
4 Copyright
5 Dedication
6 Preface
7 Acknowledgments
8 Begin Reading
9 Index
10 End User License Agreement
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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106
Next Generation Computing and Communication Engineering
Series Editors: Dr. G. R. Kanagachidambaresan and Dr. Kolla Bhanu Prakash
Developments in artificial intelligence are made more challenging because the involvement of multi-domain technology creates new problems for researchers. Therefore, in order to help meet the challenge, this book series concentrates on next generation computing and communication methodologies involving smart and ambient environment design. It is an effective publishing platform for monographs, handbooks, and edited volumes on Industry 4.0, agriculture, smart city development, new computing and communicatio paradigms. Although the series mainly focuses on design, it also addresses analytics and investigation of industry-related real-time problems.
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