Intelligent Cyber-Physical Systems for Autonomous Transportation: Internet of Things
Editat de Sahil Garg, Gagangeet Singh Aujla, Kuljeet Kaur, Syed Hassan Ahmed Shahen Limba Engleză Paperback – 28 apr 2023
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Specificații
ISBN-13: 9783030920562
ISBN-10: 3030920569
Pagini: 288
Ilustrații: XV, 288 p. 111 illus., 100 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Internet of Things
Locul publicării:Cham, Switzerland
ISBN-10: 3030920569
Pagini: 288
Ilustrații: XV, 288 p. 111 illus., 100 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Internet of Things
Locul publicării:Cham, Switzerland
Cuprins
Part I Overview of Transportation Systems.- Transportation Systems.- Future Autonomous Transportation - Challenges and Prospective dimensions.- Part II Artificial Intelligence.- Artificial Intelligence.- Artificial Intelligence: Evolution, Benefits and Challenges.- Artificial Intelligence - Need, Evolution and Applications for Transportation Systems.- Artificial Intelligence Deployment in Transportation Systems.- Part III Cyber-Physical Systems.- Cyber-Physical Systems: Historical Evolution and Role in Future Autonomous Transportation.- Cyber Physical Systems in Transportation.- Part IV Application Use Cases of Autonomous Transportation Systems.- "Correlation between Traffic Lights and Emergency Vehicles in Intelligent Transportation System".- Use Case for Underwater Transportation.- Advanced Signal Processing for Autonomous Transportation Big Data.- Deep neural network based prediction of high-speed train induced subway track vibration.- Advanced Complex Data Analysis of Autonomous Transportation for Smart City Industrial Environment.- A Meta Sensor Based Autonomous Vehicle Safety System for Collision Avoidance using Li-Fi Technology.- Part V Security Perspective in Intelligent Transportation Systems.- Secure Information Transmission in Intelligent Transportation Systems using Blockchain Technique.- "Privacy-preserved Mobile Crowdsensing for Intelligent Transportation Systems".
Notă biografică
Dr. Sahil Garg received the Ph.D. degree from the Thapar Institute of Engineering and Technology, Patiala, India, in 2018. He is currently a Research Associate at Resilient Machine learning Institute (ReMI) in correlation with École de technologie supérieure (ÉTS), Montréal. Prior to this, he worked as a Postdoctoral Research Fellow at ÉTS, Montreal and MITACS Researcher at Ericsson, Montreal. He has many research contributions in the area of Internet of Things, Machine Learning, Big Data Analytics, Knowledge Discovery, Cloud Computing, Software Defined Networking, and Vehicular Ad-hoc Networks. He has over 80 publications in high ranked Journals and Conferences, including 50+ top-tier journal papers and 30+ reputed conference articles. Some of his research findings are published in top-cited journals such as IEEE COMST, IEEE TNSE, IEEE TIFS, IEEE T-ITS, IEEE TII, IEEE TCC, IEEE TMM, IEEE TVT, IEEE TNSM, IEEE TSUSC, IEEE TCCN, IEEE TETC, IEEE IoT Journal, IEEE Systems Journal, IEEE Communications Magazine, IEEE Network Magazine, IEEE Wireless Communications, IEEE Consumer Electronics Magazine, FGCS, Computer Networks, JPDC, Applied Soft Computing, and Information Sciences including various International conferences of repute such as-IEEE Globecom, IEEE ICC, IEEE WCNC, IEEE CCNC, IEEE VTC, IEEE Infocom Workshops, ACM MobiCom Workshops, ACM MobiHoc Workshops, etc. He was the recipient of the prestigious Visvesvaraya PhD fellowship from the Ministry of Electronics & Information Technology under Government of India (2016-2018). He has been awarded the 2021 IEEE Systems Journal Best Paper Award; the 2020 IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher) and the IEEE ICC best paper award in 2018 at Kansas City, Missouri. He is currently a Managing Editor of Springer's Human-centric Computing and Information Sciences (HCIS) journal; and an Associate Editor of IEEE Network Magazine, IEEE Transactions on Intelligent Transportation Systems, Elsevier's Applied Soft Computing (ASoC), and Wiley's International Journal of Communication Systems (IJCS). In addition, he also serves as the Workshops and Symposia Officer for the IEEE ComSoc ETI on Aerial Communications. He guest edited a number of special issues in top-cited journals including IEEE T-ITS, IEEE TII, IEEE IoT Journal, IEEE Network Magazine, FGCS, Computer Networks, NCAA, etc. He also served as the TPC Co-Chair/Publicity Co-chair/Special Sessions Chair/Publication Chair for several conferences. He also served as the workshop co-chair for different workshops in IEEE /ACM conferences including IEEE Infocom, IEEE Globecom, ACM MobiCom, etc. Moreover, he will also be a Symposium Chair for Aerial Communications track in IEEE ICC 2022 in Seoul, South Korea. He is a member of IEEE, IEEE Communications Society, IEEE Computer Society, IEEE Industrial Electronics Society, IEEE Software Defined Networks Community, IEEE Smart Grid Community, ACM, and IAENG.
Dr. Gagangeet Singh Aujla received his Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala, Punjab, India in 2018. He received the B.Tech. and M.Tech. degrees in Computer Science and Engineering from Punjab Technical University, Jalandhar, Punjab, India, in 2003 and 2013, respectively. He is working as an Assistant Professor in the Department of Computer Science at Durham University, Durham, UK. Prior to this he was working as a Postdoctoral Research Associate in the School of Computing, Newcastle University, United Kingdom. Before that he was working as an Associate Professor in Computer Science and Engineering Department, Chandigarh University, Mohali, Punjab, India. Prior to this, he was working as a Research Associate in Indo-Austria Research project sponsored by Department of Science and Technology, Government of India and Ministry of Science, Austria at Thapar University, India and a Visiting Researcher atthe University of Klagenfurt, Austria. He also worked as a Project fellow in Haryana State Center of Science and Technology funded research project on Smart Grid. For my contributions to the area of scalable and sustainable computing, he was awarded the 2018 IEEE TCSC Outstanding PhD Dissertation Award. He is the recipient of 2021 IEEE Systems Journaal Best Paper Award. He is Senior Member of the IEEE and member of ACM and Life Member of ISTE. He has many research contributions in the area of smart grid, cloud computing, edge computing, vehicular networks, software defined networks, security and cryptography. Some of his research findings are published in top cited journals such as the IEEE TVT, the IEEE TITS, the IEEE TSC, the IEEE TDSC, IEEE TII, the IEEE TKDE, the IEEE TCC, the IEEE TSuSC, the IEEE JSAC, the IEEE IoT Journal, the IEEE System Journal, the IEEE Communication Magazine, the IEEE Network Magazine, the IEEE Internet Computing Magazine, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, the IEEE Consumer Electronics Magazine, Future Generation Computer Systems, Information Sciences, Computer Networks, Computer and Security, the Journal of Network and Computer Applications, the Journal of Parallel and Distributed Computing, Computing and Neural Computing and Applications, His research findings have been accepted at top-tier conferences such as IEEE Infocom Wkps, ACM MobiHoc Wkps, IEEE Globecom, IEEE ICC, IEEE WiMob, IEEE WoWMoM, IEEE WCNC Wkps, etc. He is an Area Editor for Adhoc Networks, Elsevier. He has been Guest Editor for Special Issues in IEEE Transactions on Industrial Informatics, IEEE Network, Computer Communications, Elsevier, Neural Computing and Applications, Springer, Software: Practice and Engineering, Wiley and Security and Privacy, Wiley. He led my team organizing workshops (BlockCPS, SecSDN and BlockSecSDN) in conjunction with different IEEE conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, and ACM/IEEE UCC.He has been Workshop Chair, Publicity Chair and TPC Chair for various conferences including IEEE Globecom, IEEE ICC,IEEE PiCom, IEEE WoWMoM, and ACM/IEEE UCC.
Dr. Kuljeet Kaur received her Ph.D. degree from the Thapar Institute of Engineering and Technology in 2018. She is currently working as an Assistant Professor in the Electrical Engineering Department at École de technologie supérieure (ÉTS), Montreal and a Visiting Researcher in the School of Computer Science and Engineering (SCSE) at the Nanyang Technological University (NTU), Singapore. She worked as a NSERC Postdoctoral Research Fellow at the ÉTS, Université du Québec, Montréal, Canada from 2018 till 2020. Her main research interests include Cloud Computing, Energy Efficiency, Smart Grid, Frequency Support, and Vehicle-to-Grid. She has over 50 publications in high ranked Journals and Conferences. Some of her research findings are published in top cited journals such as IEEE T-ITS, TII, IEEE TMM,IEEE TSG, IEEE TVT, IEEE TNSM, the IEEE Systems Journal, IEEE TSUSC, IEEE Communications Magazine, IEEE Wireless Communications, IEEE Network, IEEE PS, FGCS, JPDC, and Springer PPNA. During her PhD, she received two prestigious fellowships, i.e., INSPIRE fellowship from Department of Science & Technology, India (in 2015) and research scholarship from Tata Consultancy Services (TCS) (from 2016–2018). Dr. Kaur also received the IEEE ICC best paper award in 2018 at Kansas City, USA; 2019 Best Research Paper Award from Thapar Institute of Engineering & Technology, India; and the 2021 IEEE Systems Journal Best Paper Award. She serves as an Associate Editor of Wiley’s Security and Privacy (SPY), Journal of Information Processing Systems (JIPS), Springer’s Human-centric Computing and Information Sciences (HCIS), and guest editor for special issues in IEEE Transaction on Industrial Informatics and IEEE Open Journal of the Computer Society. She is a website co-chair of N2Women community. She also serves as the Vice-Chair of the IEEE Montreal Young Professionals Affinity Group. She is a member of IEEE, IEEE Communications Society, IEEE Computer Society, IEEE Women in Engineering, IEEE Software Defined Networks Community, IEEE Smart Grid Community, ACM, and IAENG.
Dr. Syed Hassan Ahmed is currently working at JMA Wireless as a Product Specialist for Distributed Antenna System (DAS), CBRS, and open RAN product line. Previously, he was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA, where, he also founded Wireless Internet and Networking Systems (WINS) lab. Prior to this, he was a Post-Doctoral Fellow in the Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and Ph.D. Degree (combined Masters) from School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). In summer 2015, he was also a visiting researcher at Georgia Tech, Atlanta, USA. Overall, he has authored/co-authored over 200 international publications including Journal articles, Conference Proceedings, Book Chapters, and 03 books. In 2016, his work on robust content retrieval in future vehicular networks lead him to win the Qualcomm Innovation Award at KNU, Korea. Dr. Hassan's research interests include Sensor and Ad hoc Networks, Cyber-Physical Systems, Vehicular Communications, and Future Internet. He has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker. Furthermore, Dr. Hassan is a Senior IEEE and ACM Professional member, served as a TPC Member or Reviewer in 100+ International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for 30+ International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Hassan has been an editorial member of more than 30 Special Issues with top-ranked journals in Communication Society and serving as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks
Textul de pe ultima copertă
This book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided.
- Presents application use cases of AI-based cyber physical systems (CPS) in urban transportation;
- Includes practical models, algorithms and implementations for AI solutions;
- Includes detailed implementation of intelligent algorithms along with evaluation results.
Caracteristici
Presents application use cases of AI-based cyber physical systems (CPS) in urban transportation Includes practical models, algorithms and implementations for AI solutions Includes detailed implementation of intelligent algorithms along with evaluation results