Advanced signal processing for Industry 4.0.

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"Version: 20230801"--Title page verso.Includes bibliographical references.1. IoT for Industry 4.0 : performance monitoring in manual production / Ivan Ma?es?in and Pavel Jandura -- 2. Vision assistance to work in a foggy industrial area / Pawan Soni and Irshad Ahmad Ansari -- 3. Smart factories of Industry 4.0 : determination of the effective smartphone position for human activity recognition using deep learning / Nithish Kannen and Abdulhamit Subasi -- 4. Intelligent technologies in manufacturing cyber-physical systems : evolution and future development / Nikolay V. Kuznetsov, Iuliia Zaitceva and Boris Andrievsky -- 5. Supply chain flexibility issues for Industry 4.0 / A.B.M. Abdul Malek, Mohammad Muhshin Aziz Khan and Ahmed Sayem -- 6. Surveillance of industrial area using drone : design, modeling and uses / Ankit Charan Janbandhu and Irshad Ahmad Ansari -- 7. Solution of the problem of terminal nonlinear filtering of stochastic processes / Sergey Sokolov and Marianna Kurinenko -- 8. Predictive maintenance of pump : a case study in exploratory data analysis / Siddharth Bhalerao, Sourabh Sahu and Saurabh Tewari -- 9. Applications of statistical signal processing for infrared non-destructive testing and evaluation / Anju Rani, Vanita Arora, Geetika Dua, Anshul Sharma and Ravibabu Mulaveesala -- 10. A hybrid system for anomaly detection in industrial big data / Rovin Tiwari, Siddharth Bhalerao, Sourabh Sahu and Kapil Gupta -- 11. Multi-faults diagnosis of gearbox by deep convolution neural network / Jay Govind Verma, Mahendra Singh Raghav, Shivdayal Patel and Pavan Kumar Kankar -- 12. Solar energy driven Industry 4.0 : MPPT learning approaches for photovoltaic panel / Abdelaziz Aouiche, El Moundher Aouiche and Chaima Aouiche -- 13. Real-time application for Industry 4.0 : road crack assessment using image processing method / Aayam Bhattarai, Sarvesh Pandey and Ranjit Shrestha.Industry 4.0 is a multifaceted area of research including signal processing, computer vision, artificial intelligence, manufacturing, production engineering, etc. This volume looks at issues relating to sensor mechanism for evaluating operations, supply chain, management of machines, analysing the generated data, low-cost solutions for Industry 4.0, and vision processing for various applications, etc. This book is an ideal text for Industrial and academic researchers across electrical engineering, signal processing, computer vision, sensors, AI, and Internet of Things.Industrial and academic researchers across electrical engineering, signal processing, computer vision, sensors, AI, IIoT, IoT.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Irshad Ahmad Ansari is a faculty member of the Electrical and Electronics Engineering at the ABV-Indian Institute of Information Technology and Management (IIITM) Gwalior. Prior to current assignment he was a faculty at IIITDM Jabalpur. He completed his PhD from IIT Roorkee and subsequently joined Gwangju Institute of Science and Technology, South Korea as a Postdoctoral fellow. His major research interest includes Image Processing, Signal Processing, Machine Learning and Electronics Device Development. He has published over 70 articles in various journals, conferences and books of repute. Varun Bajaj (PhD, SMIEEE) is a faculty member at the Electronics and Communication Engineering department at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur. Prior to this he worked as a visiting faculty in IIITDM Jabalpur and Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India. He received B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006, M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He also served as a Subject Editor of IET Electronics Letters. He is Senior Member of the IEEE and also contributes as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has authored numerous research papers and edited several book projects. His research interests include biomedical signal processing, image processing, time frequency analysis, and computer-aided medical diagnosis.Title from PDF title page (viewed on September 5, 2023).

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: .,

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1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750356589

Classification

621.3822

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Subject(s)

Signal processing.
Industry 4.0.

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Statement of Responsibility

edited by Irshad Ahmad Ansari, Varun Baja.

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