EEG signals for the corresponding actions of human beings.
– Chapter 3 explains why automated verification and validation of IoRT systems warrant the functional safety and reliability characteristics of soft-ware using appropriate program verification techniques. These include automated model checking and theorem proving in combination with automated test frameworks for establishing independent testing in ubiquitous software environments using reduced manual resources and timelines to verify and validate systems with a higher degree of operational efficacy.
– Chapter 4 explains the sequential pattern mining process and fuzzy time interval sequential pattern mining using genetic algorithm (GA), pattern matching using similarity computation index (SCI), classification based on SCI value, and significant pattern evaluation process. The second part of the chapter shows how patients are assessed using a belief network automated via the IoRT.
– Chapter 5 describes the various Li-Fi technology applications used for man-to-machine and machine-to-machine communication. Li-Fi will be the future technology for short-range wireless communication.
– Chapter 6 highlights the computation process for monitoring human activity using human-centered computing. It focuses on the design, implementation, and evaluation of interactive information gathered from the technological system in relation to usable and accessible information gathering. The multimodal human communication interaction system is premeditated to receive communication from humans to provide improved results and an operative communication process.
– Chapter 7 showcases the automatic robotic systems designed and developed with a combination of computing, intelligence and the internet of things (IoT).
– Chapter 8 outlines the general layered architecture of an IoRT system with an emphasis on the various communication protocol choices available for each layer. The initial subsections summarize the latest developments in communication standards and data exchange protocols that tie robotics and the IoT together. There is a discussion of some of the prominent communication challenges in realizing an IoRT system along with the latest research solutions. A later subsection provides details about the open platforms available for developing IoRT solutions and also highlights the developments in the industrial sector that could bring such solutions to everyday life.
– Chapter 9 describes a real-time hazardous gas classification and management system using neural networks. The chapter begins by giving a detailed view of the preparation of an input dataset from a sensor for an artificial neural network model that helps to classify and measure the concentration of gases and ends with network training using the dataset.
– Chapter 10 focuses on medical imaging research that uses a noninvasive diagnostic technique and many effective algorithms, such as gravitational search algorithms (GSAs), for optimization of modular neural networks (MNNs) in pattern recognition. In this chapter, a novel method known as the hierarchical elitism gene gravitational search algorithm is proposed.
– Chapter 11 proposes a machine learning algorithm that combines the IoT application areas. A basic aim of this chapter is to also analyze the different uses of machine learning in the IoT for healthcare, logistics, transportation and agriculture among others.
– Chapter 12 describes the time-variant adaptive techniques for feedback cancellation in hearing aids. The IoT-based bias analysis provides a statistical evaluation of the steady-state performance of an acoustic system and offers significant and robust feedback cancellation in the presence of varying environmental conditions.
– Chapter 13 applies the concepts of Industry 4.0 and Smart Cities Mission to pave the way to the concepts of Agriculture 4.0 and Smart Farming through the use of the IoT. With the evolution of the IoT, we have the ability to totally change the different phases of agriculture.
– Chapter 14 mainly focuses on the green computing practices used in combating COVID-19 in a study by the Institute of Health Sciences in Gaborone. This study investigated different literature reviews concerning green computing practices assisted by several theoretical models, such as the technology acceptance model, utilized to present an economical explanation of the components that define the adaptations, which are generally applicable to many utilization behaviors from different computing innovations.
– Chapter 15 lists the available technology of sensor, pervasive computing, and intelligent information processing widely used in body sensor networks (BSNs), which are a branch of wireless sensor networks (WSNs). These BSNs play an increasingly important role in the fields of medical treatment, social welfare and sports, and are changing the way humans use computers.
– Chapter 16 explains how the IoT, assisted by advanced electronic tools, offers the best ways of experiencing and responding to the outside world. However, at the same time, with the help of sensor information, new problems and obstacles will emerge as new application scenarios are envisaged. Therefore, this chapter investigates further developments, such as the interoperability between heterogeneous devices and confidence in smart devices, to meet business and technical requirements such as validity, safety, and trust.
To conclude, we would like to extend our appreciation to our many colleagues. We also extend our sincere thanks to all the experts for providing preparatory comments on the book that will surely motivate the reader to read the topic. We also wish to thank the reviewers who took time to review this book, and are also very grateful to our family members for their patience, encouragement and understanding. Special thanks are also due to many individuals at Scrivener Publishing, whose talents and efforts made the publication of this book possible. Finally, any suggestions or feedback from readers to improve the text will be highly appreciated.
R. Anandan G. Suseendran S. BalamuruganAshish Mishra D. BalaganeshAugust 2021
1
Internet of Robotic Things: A New Architecture and Platform
V. Vijayalakshmi1, S. Vimal2* and M. Saravanan1†
1Department of Information Technology, School of Computing,SRM Institute of Science and Technology, Kattankulathur, India
2Department of Information Technology, Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India
Abstract
IoT is an interconnection of
