Multidimensional Signals, Augmented Reality and Information Technologies

Part I: Multidimensional Signal Processing.- Chapter 1. Design and Optimization of Steering-by-wire System for FSAC Racing Car.- Chapter 2. New Approach for Soil Moisture Prediction Based on Multiple Influencing Factors.- Chapter 3. Fuzzy PID Control of Brushless DC Motor Based on the Improved Bat Algorithm.- Chapter 4. Monocular Stereo Learning Based on Hybrid Attention Transformer.- Chapter 5. Prediction of Tool Remaining Useful Life of NC Machine Tool based on DTW Algorithm and LSTM Neural Network.- Chapter 6. Research on Online Detection Device and Method of Corn Grain Crushing Rate.- Chapter 7. Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement.- Chapter 8. Data Balancing of Ceph Distributed Storage System Based on Deep Reinforcement Learning.- Chapter 9. The Fault Detection Method of the Seismic Image Based on Semantic Segmentation.- Part II: Augmented Reality and Deep learning.- Chapter 10. Analysis on Grey Space Form and Simulation Evaluation in Landscape Design.- Chapter 11. 3D Animation Design and Production Based on Intelligent Algorithm and Virtual Reality. etc.

Roumen Kountchev, Ph.D., D. Sc. is a professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies at the Technical University of Sofia, Bulgaria. His scientific areas of interest are: digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 420 papers published in magazines and conference proceedings; 20 books; 48 book chapters; and 20 patents. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences and the president of the Bulgarian Association for Pattern Recognition (member of IAPR). He has been a plenary speaker at more than 30 international scientific conferences and symposia and edited several books published in Springer SIST series and was a co-editor of Special issues for Symmetry MDPI.Dr. Srikanta Patnaik is a Professor in the Department of Information Technology & Systems Management at I.I.M.T., Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised 12 Ph. D. theses and more than 30 M. Tech theses in the area of Machine Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 60 research papers in international journals and conference proceedings. He is author of 2 text books and edited 12 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik was the Principal Investigator of TAPTEC project "Building Cognition for Intelligent Robot" sponsored by All India Council for Technical Education, New Delhi and Major Research Project "Machine Learning and Perception using Cognition Methods" sponsored by University Grant Commission. He is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and