#Arduino yun iot remote monitorcontrol serial

As a high-tech strategic emerging comprehensive industry, the nuclear industry is committed to the research, production, and processing of nuclear fuel, as well as the development and utilization of nuclear energy.Table of contents : Cover Title Page Copyright Page Contents Preface Chapter 1 Evolution of Internet of Things (IoT): Past, Present and Future for Manufacturing Systems 1.1 Introduction 1.2 IoT Revolution 1.3 IoT 1.4 Fundamental Technologies 1.4.1 RFID and NFC 1.4.2 WSN 1.4.3 Data Storage and Analytics (DSA) 1.5 IoT Architecture 1.6 Cloud Computing (CC) and IoT 1.6.1 Service of CC 1.6.2 Integration of IoT With CC 1.7 Edge Computing (EC) and IoT 1.7.1 EC with IoT Architecture 1.8 Applications of IoT 1.8.1 Smart Mobility 1.8.2 Smart Grid 1.8.3 Smart Home System 1.8.4 Public Safety and Environment Monitoring 1.8.5 Smart Healthcare Systems 1.8.6 Smart Agriculture System 1.9 Industry 4.0 Integrated With IoT Architecture for Incorporation of Designing and Enhanced Production Systems 1.9.1 Five-Stage Process of IoT for Design and Manufacturing System 1.9.2 IoT Architecture for Advanced Manufacturing Technologies 1.9.3 Architecture Development 1.10 Current Issues and Challenges in IoT 1.10.1 Scalability 1.10.2 Issue of Trust 1.10.3 Service Availability 1.10.4 Security Challenges 1.10.5 Mobility Issues 1.10.6 Architecture for IoT 1.11 Conclusion References Chapter 2 Fourth Industrial Revolution: Industry 4.0 2.1 Introduction 2.1.1 Global Level Adaption 2.2 Evolution of Industry 2.2.1 Industry 1.0 2.2.2 Industry 2.0 2.2.3 Industry 3.0 2.2.4 Industry 4.0 (or) I4.0 2.3 Basic IoT Concepts and the Term Glossary 2.4 Industrial Revolution 2.4.1 I4.0 Core Idea 2.4.2 Origin of I4.0 Concept 2.5 Industry 2.5.1 Manufacturing Phases 2.5.2 Existing Process Planning vs. Nowadays, the nuclear industry has made remarkable progress in the application fields of nuclear weapons, nuclear power, nuclear medical treatment, radiation processing, and so on. With the development of artificial intelligence and the proposal of 'Industry 4.0', more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency, reduce operation cost, improve operation safety, and realize risk avoidance. Meanwhile, deep learning, as an important technology of artificial intelligence, has made amazing progress in theoretical and applied research in the nuclear industry, which vigorously promotes the development of informatization, digitization, and intelligence of the nuclear industry. In this paper, we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry.

The Arduino Due is a microcontroller board based on the Atmel SAM3X8E ARM Cortex-M3 CPU. Then, we discuss the data types involved in the nuclear industry chain.

It is the first Arduino board based on a 32-bit ARM core microcontroller.

#Arduino yun iot remote monitorcontrol serial

It has 54 digital input/output pins (of which 12 can be used as PWM outputs), 12 analog inputs, 4 UARTs (hardware serial ports), a 84. methodology to building IoT devices and services, one inherited from our own. After that, we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry. Anastasiadis, Internet of things (IoT) in.

using cube satellite platforms and deep learning techniques, Remote Sens.Īlso a number of new Linux-based Arduinos for example, the Arduino Yun. Finally, we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.