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El. knyga: Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 18th IIH-MSP 2022 Kitakyushu, Japan, Volume 1

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This book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 15th International Conference on Frontiers of Information Technology, Applications, and Tools, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.


Chapter
1. Power Quality Disturbance Identification in High Noise
Environment Based on Feature Fusion.
Chapter
2. Binary Tumbleweed Algorithm
for Application of Feature Selection.
Chapter
3. New Optimization Method
Based on Binary Tumbleweed Algorithm.
Chapter
4. Chaos Rafflesia
Optimization Algorithm .
Chapter
5. A Brief Overview of Recent Energy Saving
Researches in Smart Homes.
Chapter
6. An overview of recent research on
IoT-based energy management system in smart homes.
Chapter
7. Data Masking
Analysis based on Masked Autoencoders Architecture for Leaf Diseases
Classification.- 
Chapter
8. Chinese Named Entity Recognition Based
BERT-Decoder-CRF in Turbine Generator Set Fault Diagnosis.
Chapter
9.
Comparison of different Part-of-Speech tagging techniques for Mongolian.-
Chapter
10. Parallel Binary QUasi-Affine Transformation Evolution (QUATRE)
Algorithm.
Chapter
11. Acceleration intention recognition of pure electric
vehicle based on SVM and optimization algorithm.
Chapter
12. Quantitative
Analysis of Coordination between Intercity Rail Transit and Urban Planning
based on Fractal Theory.
Chapter
13. Modeling and Simulation of Continuous
Damping Control Shock Absorber.
Chapter
14. Multi-group Adaptive Fish
Migration Optimization Algorithm.
Chapter
15. A Solution to Reactive
Distributed Power Optimization based on Enhancing Particle Swarms
Optimization. etc.
Dr. Shaowei Weng received the Ph.D. degree from the Institute of Information Science, Beijing Jiaotong University, in July 2009. She was a visiting scholar in the New Jersey Institute of Technology, Newark, NJ, USA, from 2016 to 2017. She is currently a professor with the School of Electronic, Electrical Engineering and Physics, Fujian University of Technology. Her research interests include image processing, data hiding and digital watermarking, pattern recognition, and computer vision.





 





Dr. Chin-Shiuh Shieh received the M.S. degree in Electrical Engineering from the National Taiwan University, Taiwan, in 1991, and the Ph.D. degree in Computer Science and Engineering from National Sun Yat-Sen University, Taiwan, in 2009. In August 1991, he joined the faculty of the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan, where he currently serves as an associate professor. His research interests include computer networking, embedded systems, computational intelligence, and information security.





 





Dr. George A. Tsihrintzis is a full professor in the Department of Informatics at the University of Piraeus, Greece, and served as its head from September 2016 through August 2020. He received the Diploma of Electrical Engineer from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical Engineering from Northeastern University, Boston, Massachusetts, USA. His current research interests include pattern recognition, machine learning, decision theory, and statistical signal processing and their applications in multimedia interactive services, user modeling, knowledge-based software systems, humancomputer interaction, and information retrieval. He has authored or co-authored over 350 research publications in these areas, which include 6 monographs and 34 edited volumes.