Human Communication Technology - Группа авторов

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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 internet-enhancing devices that increases the usage of internet. It provides a stable base for users to form communication with other devices. The linked devices will share data among themselves through network protocols. Internet of Things is a technological change among the Blockchain, AI, Cloud Computing, Machine Learning technologies with increasing speed to solve the problems.

      The area of Cloud robotics includes cloud computing, Internet technologies and cloud storage. It enables robots to benefit from quick increases in online data transfer rates and reduces the maintenance, updates. By using cloud robotics, operation durations can be reduced and costs increased. Cloud robotics is used in a variety of areas, for example cloud computing, big data, distributed computing-Human and robotic constraints, such as service quality (QoS), physical infrastructure, privacy, jitter, multi-robotic management, etc.

      In order to avoid limitations in cloud robotics we combine the Internet of Things with Cloud Robotics to provide smart, high performance, reliability, stability, cost-effectiveness and collaborative multi-robot networks. This paper describes how robots will share the information and operating in common environment. IoRT can make a solid base for implementing robotics in diverse applications. This work discusses about the architecture and platform of IoRT.

      Keywords: Amazon web services, real-time processing, robot operating system, cloud services, internet of robotic things, robotics

      Internet of Things (IoT) is an integrated system of computers with special identifiers that is capable of transmitting data across a network without human interference. Smart home is a traditional control center, usually a handheld monitor of home appliances. A basic function is to switch the computer near or remotely on and off. In recent years the use of cellular networks has increased and is increasing rapidly.

      A global data society system enables advanced automated administrations by interconnecting mechanical items that create, interoperable data and communications developments in distributed computing, distributed storage, etc. which is based on the benefits of hybrid cloud and joint administration. Internet creativity is focused on the advantages of hybrid cloud and public willingness to allow robots to take advantage of the tremendous processing, storage and exchange capabilities of today’s cloud providers. At the same time spelling maintenance and refreshment overheads and improves flexibility on Custom Domain dependent middleware levels.

      A robot is basically a machine which utilizes a mechanical stage that joins distinctive interconnected sensors, PCs and actuators to complete an activity. An automated stage encourages equipment deliberation, encourages programming, mechanical gadgets and electronic frameworks interface the executives. The multifaceted nature of the created conduct is limited by the handling intensity of the robot, which diminishes the first versatility of the robot, contingent upon the nearby equipment. The remote relocation of robot computation encourages robots to diminish weight, equipment expenses and battery use. Furthermore, it makes it simpler to access and store the information created. Distributed storage is one method of remotely getting to and putting away information.

      Distributed computing alludes to a brought together cloud-based database of adaptable assets. The virtual machine, gadget or various cloud highlights, for example small scale administrations,

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