1st Edition
Computing Technologies and Applications Paving Path Towards Society 5.0
Making use of digital technology for social care is a major responsibility of the computing domain. Social care services require attention for ease in social systems, e-farming, and automation, etc.
Thus, the book focuses on suggesting software solutions for supporting social issues, such as health care, learning about and monitoring for disabilities, and providing technical solutions for better living. Technology is enabling people to have access to advances so that they can have better health.
To undergo the digital transformation, the current processes need to be completely re-engineered to make use of technologies like the Internet of Things (IoT), big data analytics, artificial intelligence, and others. Furthermore, it is also important to consider digital initiatives in tandem with their cloud strategy instead of treating them in isolation.
At present, the world is going through another, possibly even stronger revolution: the use of recent computing models to perform complex cognitive tasks to solve social problems in ways that were previously either highly complicated or extremely resource intensive.
This book not only focuses the computing technologies, basic theories, challenges, and implementation but also covers case studies. It focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and their applications. The book also has a high potential to be used as a recommended textbook for research scholars and post-graduate programs.
- The book deals with a problem-solving approach using recent tools and technology for problems in health care, social care, etc.
- Interdisciplinary studies are emerging as both necessary and practical in universities.
- This book helps to improve computational thinking to "understand and change the world’. It will be a link between computing and a variety of other fields.
- Case studies on social aspects of modern societies and smart cities add to the contents of the book to enhance book adoption potential.
This book will be useful to undergraduates, postgraduates, researchers, and industry professionals. Every chapter covers one possible solution in detail, along with results.
Section 1: Cloud Computing
1. Cloud Management and Operations
Jagruti Shah
2. Real Time Edge Computing
Girish Talmale, Urmila Shrawankar
3. Fog Computing: Architecture, Issues, Challenges, Applications and Case Study
Pradnya Borkar, Reena Thakur, Dheeraj Rane
4. Mobile Web Service Architecture in Cloud Environment
Anil Anandrao Dudhe, Swati Sunil Sherekar
Section 2: Internet of Things
5. Internet of Things: essential IoT business guide with Different Case studies
Nutan Hemant Deshmukh
6. Research issues in IOT
Sayali Sapkal, Sandhya Arora
7. Intrusion Detection Systems for Internet of Things: Techniques, Datasets and Challenges
Priya Maidamwar, Mahip M. Bartere and Prasad P. Lokulwar
8. Case study of Smart Farming using IoT
Ameya Shahu, Chetan Wagh, Ritik Drona, Rohit Suryawanshi, Santosh Kagne and Shrinit Patil
Section 3: Data Science, Deep Learning and Machine Learning
9. Stochastic Computing for Deep Neural Network
Sunny Bodiwala, Nirali Nanavati
10. Convolution Neural Network and its Advances: Overview and Applications
Jyoti Raghatwan, Sandhya Arora
11. Convolutional Neural Network: A systemic Review and its Application using Keras
Shilpa Bhalerao, Maya Ingle
12. Big data Analytics: Applications, issues and challenges
Snehlata Dongre, Kapil Wankhade, Latesh Malik
13. AR Powered Computer Science Education
Sagar Rane, Anant Kaulage, Sanjeev Wagh
14. Information Technology for Decision Support in College Degree Planning
Robert R. Meyer, Athula D. A. Gunawardena, Sobitha Samaranayake, Vivek Deshpande, Kirthi Premadasa
15. Attention-Based Image Captioning and Evalution Methods
Khushboo Khurana
16. Smart vehicle monitoring and control using Arduino and Machine Learning: A case Study
Reena Thakur, Muskan Qureshi, Sakshi Sarile, Laveena Tahiliani, Shreya Pandit
17. Deep Learning approach to Pedestrian Detection: An Evaluation of the State of the Art
Kamal Hajari, Ujwalla Gawande, Prof. Yogesh Golhar
18. Crop Yield Forecast Using Hybrid Framework Of Deep CNN With RNN Technique
Radha Rammohan, Niveditha Vr, Amandeep Singh, Yuvarani T
Biography
Dr. Latesh Malik is working as Associate Professor & Head,Department of Computer Science & Engg, Government College of Engineering, Nagpur. She has completed Ph.D. (Computer Science & Engineering) from Visvesyaraya National Institute of Technology in 2010, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India . She is gold medalist in B.E. and M.Tech. She has teaching experience of 20+ years. She is life member of ISTE, CSI, ACM and has more than 160 papers published in International Journal & Conferences. She is recipient of 2 RPS and 1 MODROBs by AICTE. She guided 30+ PG projects and 8 students completed Ph.D under her. She is author of two books “ Practical guide to distributed systems in MPI” and “Python for Data Analysis” on Amazon Kindle Direct Publishing.
Dr. Sandhya Arora is working as Professor, Department of Computer Enginering, MKSSS’s Cummins College of Engineering for Women, Pune. She has completed Ph.D. (Computer Science & Engineering) from Jadavpur University, Kolkata in 2012, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India. She has rich teaching experience of 22+ years. She is life member of ISTE, CSI, ACM and has published papers in thoroughly acclaimed International Journal & Conferences. She is guiding PG and PhD students. She has received prestigious awards in the field of Computer Science. She authored two books “Practical guide to distributed systems in MPI” and “Python for Data Analysis” on Amazon Kindle Direct Publishing.
Dr Urmila Shrawankar received her PhD in Computer Sci & Engg from SGB Amravati University and M.Tech. degree in Computer Sci & Engg from RTM Nagpur university.. She is author of two books, six book chapters and more than 160 research papers in International Journals and Conferences of high repute. She has published 16 patents. Her biography was selected and published in the Marquis Who's Who in the World. She is recipient of International travel grant and UGC Minor Project Grant. She participated in many International conferences worldwide as a core organizing committee member, Technical program committee member, Special session chair and Session Chair. Dr Urmila is member of IEEE (SM), ACM, CSI (LM), ISTE(LM), IE( LM), IAENG, etc. At present, Dr. Urmila is working as a Professor in Department of Computer Science and Engineering, G H Raisoni College of Engineering, RTM Nagpur University Nagpur (MS), India.
Dr. Maya Ingle is working as Director, DDU-Kaushal Kendra (A Scheme of Skill Development of UGC) at DAVV, Indore. Also, worked as Nodal Person, Model Career Centre (Under Ministry of Labour & Employment, Govt. of India) at DAVV, Indore. Also, worked as Dean, Student Welfare, DAVV, Indore from year 2006 to year 2009. She has guided 16 research scholars have been awarded Ph. D and 6 pursuing presently and more than 200 research papers have been published in International/ National Journals and Conferences . She has visited as an Expert (and sometimes Chairman) in National Board of Accreditation (NBA) in all over India since past 10 years. She is Associated with the organizations that help to promote higher education in Visually Challenged students and engaged with the activities to encourage the children deprived of education due to financial crisis and the organizations who help to promote basic education for street children.
Dr. Indu Bhagat is Principal Member of Technical Staff at Oracle Canada. She currently contributes to the compiler and toolchain components of Oracle Linux. She has a PhD degree in Computer Science specializing in Computer Architecture from UPC, Barcelona, Spain. She received her Bachelor of Technology degree (in Computer Science and Engg) from Indian Institute of Technology, Varanasi, India. She has 14 years of industry and academic experience in system software and hardware development and research. Her contributions have ranged from low-level hardware architecture design, compiler support, to higher level application stack (query execution software, database management systems). Her research and industry contributions have been accepted as ACM and IEEE publications and a patent. She has also served as a reviewer in various international conferences.
