Signal and Information Processing, Networking and Computers
Springer Nature (Verlag)
978-981-97-2115-3 (ISBN)
The 11th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Chengdu, China, in September 2023, which focused on the key technologies and challenges of signal and information processing schemes, network application, computer theory, space technologies, big data, and other related technologies
Dr. Wang Yue received his Ph.D. degree from the Complex Systems Laboratory of the Institute of Automation, Chinese Academy of Sciences in 2003. His major is control technology and control engineering, mainly focused in robot dynamics, multi-robot coordinated control and other fields. Since 2003, he has been mainly engaged in the research and development of the general agile platform for spacecraft, as well as the design, development and test of the overall and control system of new optical remote sensing satellites in China Academy of Space Technology. Over the years, he has devoted himself to the design of spacecraft systems, design of space-ground integration, autonomous mission management, autonomous health management, reliability design, real-time processing applications in space and other research directions. In addition, he has presided over or participated in the design and development of overall or control systems for more than 10 spacecrafts. He has won many national science and technology progress awards, and more than 10 patents. Zhilei Ling received the B.S. degree in Communication Engineering from Nanjing University of Post and Telecommunications in 2022. Now she is pursuing the M.S. degree in Information and Communication Engineering from Beijing University of Post and Telecommunications. Her research interests include video encoding and wireless communication. Jiaqi Zou received the B.S. degree in Communication Engineering from Beijing University of Post and Telecommunications (BUPT), where she is currently pursuing the Ph.D. degree in BUPT. Her research interests include wireless communication and machine learning. She is an IEEE student member. She received the best paper award from the 2020 IEEE International Conference on Visual Communications and Image Processing. Dr. Lexi Xu received his Ph.D. degree from School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK in 2013. Dr. Xu is currently a senior engineer at China Unicom Research Institute of, Beijing, China. He is also a senior researcher of National Engineering Laboratory for Next Generation Internet Broadband Service Application. Dr. Xu is a member of IEEE, and a China Unicom delegate in CCSA, ITU, ETSI. He has been involved in more than 30 big data research projects and network optimization projects. Dr. Xu has published more than 60 technical papers and he serves on the Technical Program Committees (TPC) of 8 international conferences. His research interests include big data, self-organizing networks, radio resource management in LTE-A/5G. Yuyang Liu received his bachelor degree of Electronic Information Engineering, Chang’an University, Xi’an, China in 2020. He is currently pursuing the Ph.D. in Information and Communication Engineering at Beijing University of Posts and Telecommunications in Beijing, China. His research interests include integrated sensing and communication (ISAC) technology, Ad-hoc networks. He is an IEEE student member. Mr. Xinzhou Cheng received his Master degree from Beijing University of Posts and Telecommunicaitons.. Mr. Cheng is currently a director at China Unicom Research Institute of, Beijing, China. He is also BigeData Group Leader of National Engineering Laboratory for Next Generation Internet Broadband Service Application.
Wireless Communication System.- Algorithms Optimization and Implementation.- Video Coding and Communication.- Bigdata.-A New Multi-Instance Learning Algorithm Integrated with TF-IDF for Entity Relation Extraction in Electronic Medical Records.- A Deep Learning Algorithm Using Feature Engineering to Adjust Attention Mechanisms and Neural Network for Cloud Security Detection.- The design and implementation of a ranging system based on the DSSS.- Application of Grey Approximation Ideal Solution Ranking Methods in optimal selection of satellite initial orbits.
| Erscheinungsdatum | 04.05.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Electrical Engineering |
| Zusatzinfo | 220 Illustrations, color; 88 Illustrations, black and white; XIV, 528 p. 308 illus., 220 illus. in color. |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Fahrzeugbau / Schiffbau | |
| Technik ► Luft- / Raumfahrttechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Big Data • Computer Theory • multimedia application • Network Application • Signal and Information Processing Schemes • video coding |
| ISBN-10 | 981-97-2115-6 / 9819721156 |
| ISBN-13 | 978-981-97-2115-3 / 9789819721153 |
| Zustand | Neuware |
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