Pandey A. Intelligent Analytics for Industry 4.0 Applications 2023 torrent

Textbook in PDF format

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and Artificial Intelligence (AI) and Machine Learning (ML), into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.
Internet of Things (IoT) is a worldwide network facility that is capable of connecting billions of devices remotely for interaction and information exchanges over Internet protocol version 6 (IPv6) for low wireless personal area network (6LoWPAN). The IoT architecture is flourished with resource-constrained devices that may include embedded sensors, wireless connectivity, communication protocols, and information technology (IT). The communication of these devices depends on the restraint protocols used for the data packet forwarding and routing information through the 6LoWPAN adaptation layer. These protocols include IPv6, 6LoWPAN, and routing protocol for low power and lossy network (RPL). The 6LoWPAN adaptation layer is utilized to overcome the challenges of end-to-end connectivity, and interoperability between both physical and virtual things identities through IEEE 802.15.4 in the network. IoT is a promising emergent technology that provides conveniences, comforts, and quality of life for domestic users, industries, research institutes, and many others through the procuring of smart technology devices in Industry 4.0.
LoRaWAN is a low-power, broad-area network standard (LPWAN). Concerning the OSI levels, level 2 will be preferred as the MAC (media access control) layer. In other words, LoRaWAN is responsible for combining the channels and connection settings of many LORA devices with respect to channel, bandwidth, encryption of data, etc. This technology enables point-to-point information to be sent and received. A LoRa device is characterized by a long range with a minimal component. It employs the spread spectrum approach, which enables many signals to be received at the same time while at the same time having varying speeds.
Chapter 1 Analytics Approach for Intelligent Cyber-Physical System Integration in Industrial Internet of Things (Industry 4.0)
Chapter 2 Digital Twins A State of the Art from Industry 4.0 Perspective
Chapter 3 Human-Centered Approach to Intelligent Analytics in Industry 4.0
Chapter 4 Advance in Robotics Industry 4.0
Chapter 5 A Cloud-Based Real-Time Healthcare Monitoring System for CVD Patients
Chapter 6 Assessment of Fuzzy Logic Assessed Recommender System A Critical Critique
Chapter 7 Intelligent Analytics in Big Data and Cloud: Big Data; Analytics; Cloud
Chapter 8 Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0
Chapter 9 Trending IoT Platforms on Middleware Layer
Chapter 10 Healthcare IoT: A Factual and Feasible Application of Industrial IoT
Chapter 11 IoT-Based Spacecraft Anti-Collision HUD Design Formulation
Chapter 12 Coverage of LoRaWAN in Vijayawada: A Practical Approach
Chapter 13 Intelligent Health Care Industry for Disease Detection
Chapter 14 Challenges with Industry 4.0 Security
Chapter 15 Dodging Security Attacks and Data Leakage Prevention for Cloud and IoT Environments
Chapter 16 Role of Blockchain in Industry 4.0
Chapter 17 Blockchain and Bitcoin Security in Industry 4.0
Chapter 18 Technology in Industry 4.0
Chapter 19 Intelligent Analytics in Cyber-Physical Systems
Chapter 20 An Overlook on Security Challenges in Industry 4.0