Intelligent Edge Computing for Cyber Physical Applications

Erscheinungsjahr 2023
ISBN: 978-0-323-99412-5
Verlag: William Andrew Publishing

Buch, Englisch, 315 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues.

Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.

Zielgruppe

<p>Graduate students, researchers, and professionals in electronic and computer engineering.</p>

Autoren/Hrsg.

Gupta, B. B.

Elhoseny, Mohamed

Shinde, Swati Vijay

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik

Inhaltsverzeichnis

1. Introduction to Recent Computing Paradigms
2. Supervised Machine Learning Techniques to Protect IoT Healthcare Environment against Cyber attacks
3. Design of A Novel Privacy Preservation Based Cyber Security System (PPCSS) Framework For Secure Medical Data Transactions In Cloud Storage
4. IOT based BIM Integrated Model for Natural Lighting Energy Management in Smart Homes
5. Privacy Preserving and Data sharing in Medical Cyber Physical System using Fog Computing
6. Secure Medical Image Storage and Retrieval for Internet of Medical Imaging Things Using Blockchain-Enabled Edge Computing
7. Lane Detection and Path Prediction in Autonomous Vehicle using Deep Learning
8. Intelligent Auto Pilot Fire Extinguishing Robot
9. Applicability of Edge Computing Paradigm for Covid-19 Mitigation
10. Design and Implementation of UWB based Cyber Physical System for Indoor Localization in Industries Environment
11. An Application of Intelligent Edge Computing and Machine Learning Algorithms in MBTI Personality Prediction
12. Techniques Applied to Increase Soil Fertility in smart Agriculture

Über Autor(innen)

Elhoseny, Mohamed
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.

Gupta, B. B.
Prof. Brij B. Gupta is the of the Director of International Center for AI and Cyber Security Research, Incubation and Innovations, and Full Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. His research interests include information security, Cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking. In more than 17 years, he published over 450 papers in journals/conferences including 25 books and 10 Patents with over 15000 citations. He has received numerous national and international awards. He is also selected in the 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-2024).

Shinde, Swati Vijay
Prof. Dr. Swati V. Shinde is a professor in Pimpri Chinchwad College of Engineering (PCCoE), Pune, In India.
She has published over 75 research papers in several reputed conferences and journals, two of which are published in the prestigious SCI indexed Science Q1 Elsevier journals. Dr. Shinde is recipient of four Best Paper Awards in different IEEE Conferences, and has filed four research patents. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network and Fuzzy Logic.