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Physicomimetics
Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term “biomimetics”. This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term 'physicomimetics' to refer to physics-based swarm approaches, which offer two advantages. First, they capture the notion that “nature is lazy', meaning that physics-based systems always perform the minimal amount of work necessary, which is an especially important advantage in swarm robotics. Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equations that codify emergent behavior and help us to...
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biom...
Evolutionary Computation
Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism, imitate the behavior of the animal's group, mimic the characteristics of human thought, language, and memory processes, or mimic the physical phenomena of nature, hoping to simulate the wisdom of nature and humanity enables an optimal solution to the problem and solves an acceptable solution in an acceptable time. Computational intelligent algorithms have received extensive attention at home and abroad, and have become an important research direction of artificial intelligence and computer science. This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine learning
Pattern Recognition and Computer Vision
The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.
Design of Long Span Railway Suspension Bridges
Zusammenfassung: This book presents the latest practices in high-speed railway suspension bridge design, covering site selection, bridge type and span layout, loading assumptions and load combinations, structural stiffness, structural components, expansion joints, wind resistance, and seismic analysis. It also shares insights on the wind-train-track-bridge interaction, wind and seismic analysis and design, and provides solutions for construction and maintenance. Wufengshan Yangtze River Bridge was taken as an example to introduce the key technologies of long-span high-speed railway suspension bridges in research, design, construction, and maintenance comprehensively. This is an ideal guideline and reference book for bridge engineers and consultants engaged in research, design, construction, and maintenance of suspension bridges. It can also be adopted as a textbook for teachers and students of bridge engineering in the teaching of suspension bridges
Decision Science in Action
This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book’s twenty chapters examine various interesting research topics in this area, including: Pi fraction-based opti...
Natural Products
Phytonutrients - The natural drugs of the future -- Research on the supercritical CO, extraction of Xinyang MaoJian tea -- Applications of RNAi technology -- Enhancing bioactive molecules in medicinal plants -- Biotransformation of taxanes from cell cultures of Taxus sp -- Biotransformation of terpenes and steroids by fungi -- Rapid analysis of triterpenoid saponins in plant extract Using ESI-MSn and LC-MSn -- HPLC-MS Analysis of phenolic constituents of PhyZZanthus Amarus -- Structure elucidation of norditerpene alkaloids from Ranunculaceae species -- Quantitative detection of isoflavones in the extract of Red Clover by HPLC/ESI-MS -- Measurement of bioactive constituents in traditional chi...
Pattern Recognition
This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.
