06900nam a2200637 i 4500 9780750356589 IOP 20251030124219.0 m eo d cr cn |||m|||a 230905s2023 enka fob 000 0 eng d 9780750356589 ebook 9780750356572 mobi 9780750356565 print 9780750356596 myPrint 10.1088/978-0-7503-5658-9 doi (CaBNVSL)thg00083649 (OCoLC)1396227952 CaBNVSL eng rda CaBNVSL CaBNVSL TK5102.9 .A387 2023eb vol. 2 UYS bicssc TEC067000 bisacsh Advanced signal processing for Industry 4.0. Volume 2, Security issues, management and future opportunities / edited by Irshad Ahmad Ansari, Varun Baja. Security issues, management and future opportunities. Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2023] 1 online resource (various pagings) : illustrations (some color). text rdacontent electronic isbdmedia online resource rdacarrier [IOP release $release] IOP ebooks. [2023 collection] "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). Signal processing. Industry 4.0. 65299 Signal processing. bicssc TECHNOLOGY & ENGINEERING / Signals & Signal Processing. bisacsh 96635 Ansari, Irshad Ahmad, editor. Bajaj, Varun, editor. Institute of Physics (Great Britain), publisher. 17702 Print version: 9780750356565 9780750356596 IOP (Series). Release 23. IOP ebooks. 2023 collection. https://iopscience.iop.org/book/edit/978-0-7503-5658-9 E-Books 68427 68427