INDUSTRY 40

Erscheinungsjahr 2029
ISBN: 978-0-323-88485-3
Verlag: ACADEMIC PR INC

Buch, Englisch, 232 Seiten, Format (B × H): 191 mm x 235 mm

The rise of new digital Industrial technology popularly known as Industry 4.0 is evolving at an exponential pace and disrupting almost every industry in every country. This is a new Industrial Revolution that enables smart, connected and disruptive technologies to transform and digitize organizations, operations, and the workforce by increasing information flow, creating new insights and entirely different business models. These changes are signaling the trend and transformation towards fully connected and automated entire systems of production, management, and governance. Organizations have started realizing this change and focusing upon how Industry 4.0 could impact their business. Many are implementing changes and preparing for the future where smart machines are empowering their business. Industry 4.0 represents the so-called Fourth Industrial Revolution in discrete and process manufacturing, logistics and supply chain (Logistics 4.0), the chemical industry, energy (Energy 4.0), transportation, utilities, oil and gas, mining and metals and other segments, including resources industries, healthcare, pharmaceuticals and Smart Cities. Industry 4.0: Managing Digital Transformation Using Disruptive Technologies is the first book to discuss the trends of Industry 4.0 along with a deep technological look at the methods that are effectuating the change, including robotics, augmented reality, IoT, and Artificial Intelligence on value chain support and optimization. This book provides a comprehensive overview of Industry 4.0 starting from the basic definition and current technologies, and encompassing business models that can and will come in play with Industry 4.0 adoption

Autoren/Hrsg.

Gaur, Loveleen

Solanki, Arun

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

1. Blockchain-based behavioural analytics at the Edge - An application for Industry 4.0 2. Authenticated and Transparent Automobile Enrollment using Block Chain: An IoT Enabled Application for Future Smart Cities with Sustainable Approach 3. Autonomous Robot 4. Towards the Blockchain-Enabled Interleaving for Next-Generation Communications 5. The Journey from Data warehouse to Data Lake 6. IOT based smart devices and its implication on the future direction of data 7. Additive Manufacturing (3D printing): Advancement and Challenges in Civil Infrastructures 8. Innovation Trends in 5G: it's Energy Efficiency Aspects 9. Conceptual Design, Theoretical Calculations, Computational Analyses of an advanced Tricopter for Agriculture applications 10. Racing Towards Industry 4.0: Emerging Issues and Challenges 11. Digitalized Motor Insurance Claims Processing and Settlement 12. Design and Implementation of Secure Location Service using Software Engineering Approach in the Age of Industry 4.0 13. Classification of Epileptic seizure using Machine learning and Deep Learning based on EEG Signal 14. Agriculture 4.0: Empowering the Indian Farming community for Food Sustainability 15. Industry 4.0 in Manufacturing. a renaissance 16. Industry 4.0 Challenges and Applications in Healthcare Industry with Emerging Technologies 17. A supplier selection model in a humanitarian relief supply chain management using BWM-CoCoSo methods

Über Autor(innen)

Gaur, Loveleen
Loveleen Gaur, PhD currently works as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji, and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was a Professor with Amity University, India. She's supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She's a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has been honored with prestigious National and International awards.

Solanki, Arun
Dr. Arun Solanki is Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from Gautam Buddha University. He has supervised more than 60 M.Tech. Dissertations under his guidance. His research interests span Expert System, Machine Learning, and Search Engines. Dr. Solanki is an Associate Editor of the
International Journal of Web-Based Learning and Teaching Technologies from IGI Global. He has been a Guest Editor for special issues of Recent Patents on Computer Science, from Bentham Science Publishers. Dr. Solanki is the editor of the books Green Building Management and Smart Automation and Handbook of Emerging Trends and Applications of Machine Learning, both from IGI Global.