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Smart Sensors for Industry 4.0 -

Smart Sensors for Industry 4.0 (eBook)

Fundamentals, Fabrication and IIoT Applications
eBook Download: EPUB
2024 | 1. Auflage
256 Seiten
Wiley (Verlag)
978-1-394-21470-9 (ISBN)
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Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era.

Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment.

For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications.

Beneficial aspects of this book include:

  • The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together;
  • Promotes a vision towards making sensor-based monitoring and control of smart industry;
  • Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0.

Audience

This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

Brojo Kishore Mishra, PhD, is a professor and head in the School of Computer Science and Engineering at NIST Institute of Science and Technology (Autonomous), Berhampur, Odisha, India. He received his doctorate in computer science from Berhampur University, India in 2012. He published more than 50 research papers in peer-reviewed international journals, and more than 40 research papers in proceedings of international conferences, more than 50 book chapters, 18 edited books and 2 authored books, 5 book series, 2 patents published, 3 copyright and 1 trademark(applied). His research interests include data mining, machine learning, soft computing, and security.

Sandipan Mallik, PhD, earned his doctorate in engineering from Jadavpur University, Kolkata in 2014 and is currently an associate professor in the Department of ECE, NIST (Autonomous), Berhampur, Odisha, India. He has been involved in teaching and research for more than 2 years and has published 5 Indian patents, and more than 90 research articles in various international and national journals and conferences. His wide area of research includes semiconductor device physics and device fabrication technology, nanotechnology & microelectronics, memristor devices, IoT sensors fabrication, and IoT-based devices for biomedical applications.

Dac-Nhuong Le, PhD, obtained his doctorate in computer science from Vietnam National University, Vietnam in 2015. He is deputy head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has over 50 publications and edited/authored 15 computer science books.


Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together; Promotes a vision towards making sensor-based monitoring and control of smart industry; Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0. Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

Acronyms


5G Fifth Generation
4G Fourth Generation
AAA Artificial Algae Algorithm
ACO Ant Colony Optimization
AES Advanced Encryption Standard
AGI Artificial General Intelligence
AHP Analytical Hierarchy Process
AI Artificial Intelligence
AMS Advanced Metropolitan Solutions
ANN Artificial Neural Network
ANFSI Adaptive Neuro-Fuzzy Inference System
API Application Programming Interface
APTS Advanced Public Transportation System
AQI Air Quality Index
ARIMA Autoregressive Integrated Moving Average
ARS Audio Recognition System
AS Autonomous Station
ATMS Advanced Traffic Management System
AVE Average Variance Extracted
AVM Automatic Vehicle Monitoring
AVCSS Advanced Vehicle Control and Safety System
AFRD Atlanta Fire Rescue Department
BD Big Data
BLE Bluetooth Low Energy
BTS Base Transceiver Station
BMI Body Mass Index
BOD Biological Oxygen Demand
BSO Biochar of Sargassum oligocystum
BYOD Bring Your Own Device
CART Classification and Regression Tree
CAV Connected and Autonomous Vehicle
CCPA California Consumer Privacy Act
CIO Chief Information Officer
CMOS Complementary Metal Oxide Semiconductor
CNN Convolutional Neural Network
CO Carbon Monoxide
COD Chemical Oxygen Demand
CPCB Central Pollution Control Board
CPS Cyber-Physical System
CR Consistency Ratio
CSF Critical Success Factors
CSS Cascading Style Sheets
CVO Commercial Vehicle Operation
CYOD Choose Your Own Device
DA Data Analytics
DaaS Data-as-a-Service
DASS Depression Anxiety and Stress Scale
DCNN Deep Convolutional Neural Network
DevOps Development and Operations
DISC Data Interoperability Standards Consortium
DL Deep Learning
DMZ Demilitarized Zone
DNN Deep Neural Network
DNS Domain Name System
DoS Denial of Service
DDoS Distributed Denial of Service
ECG Electrocardiogram
ECU Electronic Control Unit
EEA European Environment Agency
EEG Electroencephalograph
EPA Environmental Protection Agency
EQF European Qualifications Framework
ETSI European Telecommunications Standards Institute
FC Fitness Certificate
FL Federated Learning
FLS Fuzzy Logic System
FRI Facial Recognition Intensity
GA Genetic Algorithm
GAN Generative Adversarial Network
GDPR General Data Protection Regulation
GIS Geographic Information System
GUI Graphical User Interface
GPA Grade Point Average
GPU Graphics Processing Unit
GPS Global Positioning System
GSD Global Software Development
GSM Global System for Mobile
HAN Home Area Network
HCA Hierarchical Cluster Analysis
HCI Human Computer Interaction
HDL High-Density Lipoprotein
HMRE Heavy Metal Responsive Element
HPS High-Performance System
HTTP Hypertext Transfer Protocol
HTML HyperText Markup Language
HRT Hydraulic Retention Time
HSR High-Speed Rail
HVAC Heating, Ventilation and Air Conditioning
ICT Information and Communications Technology
ICU Intensive Care Unit
ICS Industrial Control System
IDS Intrusion Detection System
IETF Internet Engineering Task Force
IIoT Industrial Internet of Things
IoE Internet of Everything
IoT Internet of Things
IoTWF IoT World Forum
IPSO Internet Protocol for Smart Objects
IT Information Technology
I/O Input/Output
ISO/IEC International Organization for Standardization/International Electrotechnical Commission
ISCO International Standard Classification of Occupations
ITS Intelligent Transportation System
JDE Joint Detection and Embedding
KLT Kanade-Lucas-Tomasi
KNN K-Nearest Neighbor
LAN Local Area Network
LED Light-Emitting Diode
LiDAR Light Detection and Ranging
LO Local Oscillator
LoRa Long Range
LoRaWAN Long Range Wide Area Network
LTA Land Transport Authority of Singapore
LSTM Long Short-Term Memory
LSE Least Square Estimation
M2M Machine-to-Machine
M&A Measurement & Analysis
MAE Mean Absolute Error
MBR Membrane Bioreactor
MCU Microcontroller Unit
MEC Mobile Edge Computing
MEM Micro-Electro-Mechanical
MIMO Multiple-Input Multiple-Output
MITM Man-in-the-Middle
ML Machine...

Erscheint lt. Verlag 19.8.2024
Sprache englisch
Themenwelt Technik Elektrotechnik / Energietechnik
ISBN-10 1-394-21470-7 / 1394214707
ISBN-13 978-1-394-21470-9 / 9781394214709
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