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Cyber-physical, IoT, and autonomous systems in industry 4.0
Cyber-physical, internet of things, and autonomous systems in industry 4.0
1 online resource (xxiii, 393 pages) : illustrations
"This book addresses topics related to Internet of Things (IoT), Machine Learning, Cyber-Physical Systems, Cloud Computing and Autonomous Vehicles for Industry 4.0. It investigates challenges across multiple sectors, industries and considers Industry 4.0 for operations research and supply chain management. Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 encourages readers to develop novel theories and enrich their knowledge to foster sustainability. It examines the recent research trends and the future of Cyber-Physical systems, IoT, and Autonomous Systems as it relates to Industry 4.0. This book is intended for undergraduates, postgraduates, academics, researchers, and industry individuals to explore new ideas, techniques, and tools related to Industry 4.0"--
Cyber systems and security in industry 4.0 / Bhogaraju Padma and Thalatam Mohana Naga Vamsi -- A demand response program for social welfare maximization in the context of the Indian smart grid : a review / Sachin Ramnath Gaikwad and R. Harikrishnan -- Cloud computing security framework based on shared responsibility models : cloud computing / Umesh Kumar Singh and Abhishek Sharma -- Performance analysis of a hypervisor and the container-based migration technique for cloud virtualization / Aditya Bhardwaj -- Segmentation of fine-grained iron ore using deep learning and the internet of things / Ada Cristina França da Silva and Omar Andres Carmona Cortes -- Amalgamation of blockchain technology and cloud computing for a secure and more adaptable cloud / Himanshu V. Taiwade and Premchand B. Ambhore -- Cloud, edge, and fog computing : trends / Siddhant Thapliyal, Lisa Gopal, Piyush Bagla, and Kuldeep Kumar -- Progression in cyber security concerns for learning management systems : analyzing the role of participants / Tejaswini Apte and Sarika Sharma -- A security model for cloud-computing-based e-governance applications / Aditya Makwe, Anand More, Priyesh Kanungo, and Niranjan Shrivastava -- Automatic time and motion study using deep learning / Jefferson Hernandez, Sofia Lopez, Gabriela Valarezo, and Andres G. Abad -- Applications of IoT based frameworks in industry 4.0 : applications of IoT based frameworks / Kaushik Ghosh, Sugandha Sharma, Piyush Bagla, and Kuldeep Kumar -- Impact of deep learning and machine learning in industry 4.0 / Umesh Kumar Lilhore, Sarita Simaiya, Amandeep Kaur, Devendra Prasad, Meenu Khurana, Deepak Kumar Verma, and Afsan Hassan -- IoT applications and recent advances / T. Mohana Naga Vamsi and Pratibha Lanka -- A spatio-temporal model for the analysis and classification of soil using the IoT / M. Umme Salma, Subbaiah Rachana, and Narasegouda Srinivas -- A critical survey of autonomous vehicles / Nipun R. Navadia, Gurleen Kaur, Harshit Bhardwaj, Aditi Sakalle, Yashpal Singh, Taranjeet Singh, Arpit Bhardwaj, and Divya Acharya -- A meta-learning approach for algorithm selection for capacitated vehicle routing problems / Neha Sehta and Urjita Thakar -- Early detection of autism disorder using predictive analysis / T. Harshvardhan, G. Preethi, S. Aishwarya, T. Vinod, and K. S. Meghana -- Computing technologies for prognosticating the emanation of carbon using an ARIMA model / Shyla, Kapil Kumar, and Vishal Bhatnagar -- DWT and SVD-based robust watermarking using differential evolution with adaptive optimization / Meenal Kamlakar, Chhaya Gosavi, Vaidehee Salunkhe, Priyanka Bagul, Aishwarya Keskar, and Shweta Barge -- A novel framework based on a machine learning algorithm for the estimation of COVID-19 cases / Rashmi Welekar, Sharvari Tapase, Shubhi Bajaj, Isha Pande, Abhishek Verma, Ashutosh Katpatal, and Vaibhav Mishra -- Assessing the impact of coronavirus on pollutant concentration : a case study in Malaysia / Imam Wahyu Amanullah, Sharifah Sakinah Syed Ahmad, and Emaliana Kasmuri -- A comprehensive review of SLAM techniques / Karthi Mohan, Surya Bharath Achalla, and Arpit Jain -- A novel evolutionary computation method for securing the data in wireless networks / Inderpreet Kaur, Vibha Tripathi, and Nidhi.
edited by Vikram Bali, Vishal Bhatnagar, Deepti Aggarwal, Shivani Bali, Mario José Diván.
Includes bibliographical references and index.
Vikram Bali is Professor and Head-Computer Science and Engineering Department at JSS Academy of Technical Education, Noida, India. He had graduated from REC, Kurukshetra - B.Tech (CSE), Post Graduation from NITTTR, Chandigarh - M.E (CSE) and Doctorate (Ph.D) from Banasthali Vidyapith, Rajasthan. He has more than 20 years of rich academic and administrative experience. He has published more than 50 research papers in International Journals/Conferences and edited Books. He has authored Five text books. He has published 06 Patents. He is on editorial board and on the review panel of many International Journals. He is SERIES EDITOR for three Book Series of CRC Press- Taylor & Francis Group. He is a lifetime member of IEEE, ISTE, CSI and IE. He was Awarded Green Thinker Z-Distinguished Educator Award 2018 for remarkable contribution in the field of Computer Science and Engineering at 3rd International Convention on Interdisciplinary Research for Sustainable Development (IRSD) at Confederation of Indian Industry (CII), Chandigarh. He has attended Faculty Enablement program organised by Infosys and NASSCOM. He is member of board of studies of different Indian Universities and member of organizing committee for various National and International Seminars/Conferences. He is working on four sponsored research projects funded by TEQIP-3 and Unnat Bharat Abhiyaan. His research interest includes Software Engineering, Cyber Security, Automata Theory, CBSS and ERP. Vishal Bhatnagar holds B.E, MTech and PhD in the Engineering field. He has more than 21 years of teaching experience in various technical institutions. He is currently working as Professor in Computer Science & Engineering Department at Netaji Subhash University of Technology East Campus (Formerly Ambedkar Institute of Advanced Communication Technologies & Research), Delhi, India. His research interests include Data-Mining, Social Network Analysis, Data Science, Blockchain and Big Data Analytics. He has to his credit more than 130 research papers in various international/national journals, conferences and Book Chapters. He is currently working as Associate Editor of few Journals of IGI global and Inderscience. He has to his credit experience of handling special issues of Many Scopus, ESCI and SCIE Journals. He is SERIES EDITOR- for three Book Series of CRC Press- Taylor & Francis Group. He has also edited many books of Springer, Elsevier, IGI Global and CRC Press. He is life time member of Indian Society for Technical Education (ISTE). He has also worked as editor of many edited books of Springer, IGI global, CRC press to name a few. Deepti Aggarwal is an Assistant Professor in Department of Computer Science and Engineering at JSS Academy of Technical Education, Noida. She has more than 20 years of academic experience in teaching UG and PG computer science courses. She has received her B. Tech. (CSE) from Maharishi Dayanand University, Rohtak, M.Tech. (CSE) from Rajasthan Vidyapeeth, Udaipur and Ph.D. from Jaipur National University, Jaipur. She has published Patent on Smart Dustbin- Sanitation & Solid-Liquid Waste Management. She has written a book on 'Computer Organisation' in the year 2011. She has published several papers in international journals and conferences of repute. Her areas of interest include Machine Learning, Cyber Security, IOT and Data Mining. She has been reviewer, guest editor of several reputed Journals and Books. She has also served many conferences as Session Chair. Shivani Bali is an academician, trainer, researcher and consultant with more than 17 years of experience in the field of Decision Sciences and Operations Management. She is working as Professor at Jaipuria Institute of Management, Noida. She has published around 30 research papers indexed in SCI/WoS/ Scopus journals and published 04 patents. She has been working on consulting assignments with many reputed companies and have imparted training programs in the area of data science and business analytics. Her areas of interest are Business Analytics, Data Science, Operations and Supply Chain Analytics. Mario José Divǹ is a full professor and head of the Data Science Research Group at the National University of La Pampa, Argentina. His scientific interests lie in the area of Data Mining, Data Stream, Stream Mining, High-performance Computing, Big Data, IOT, Data Quality, Measurement, and Evaluation.