The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the existence of specific motifs in the network representation. Over the last decade, network science has become a widely applied methodology for the analysis of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering measures to be calculated in order to characterise and describe the behaviours of dynamical systems. The applicability of the algorithms developed here is presented in the form of well-known benchmark examples. The algorithms are supported by more than 50 figures and more than 170 references; taken together, they provide a good overview of the current state of network science-based analysis of dynamical systems, and suggest further reading material for researchers and students alike. The files for the proposed toolbox can be downloaded from a corresponding website.

Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems. - Responds to the expansion of smart railways and the adoption of unmanned global systems - Covers core technologies of unmanned driving systems for smart trains - Details a large number of case studies and experimental designs for unmanned railway systems - Adopts a multidisciplinary view where disciplines intersect at key points - Gives both foundational theory and the latest theoretical and practical advances for unmanned railways

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

The proceedings present selected research papers from the CIAC2021, held in Zhanjiang, China on Nov 5-7, 2021. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.

The motor vehicle technology covered in this book has become in the more than 125 years of its history in many aspects an extremely complex and, in many areas of engineering science . Motor vehicles must remain functional under harsh environmental conditions and extreme continuous loads and must also be reliably brought into a safe state even in the event of a failure by a few trained operators. The automobile is at the same time a mass product, which must be produced in millions of pieces and at extremely low cost. In addition to the fundamentals of current vehicle systems, the book also provides an overview of future developments such as, for example, in the areas of electromobility, alternative drives and driver assistance systems. The basis for the book is a series of lectures on automotive engineering, which has been offered by the first-named author at the University of Duisburg-Essen for many years. Starting from classical systems in the automobile, the reader is given a systemic view of modern motor vehicles. In addition to the pure basic function, the modeling of individual (sub-) systems is also discussed. This gives the reader a deep understanding of the underlying principles. In addition, the book with the given models provides a basis for the practical application in the area of ​​simulation technology and thus achieves a clear added value against books, which merely explain the function of a system without entering into the modeling. On the basis of today's vehicle systems we will continue to look at current and future systems. In addition to the state-of-the-art, the reader is thus taught which topics are currently dominant in research and which developments can be expected for the future. In particular, a large number of practical examples are provided directly from the vehicle industry. Especially for students of vehicle-oriented study courses and lectures, the book thus enables an optimal preparation for possible future fields of activity.

This book provides an overview of friction stir welding and friction stir spot welding with a focus on aluminium to aluminium and aluminium to copper. It also discusses experimental results for friction stir spot welding between aluminium and copper, offering a good foundation for researchers wishing to conduct more investigations on FSSW Al/Cu. Presenting full methodologies for manufacturing and case studies on FSSW Al/Cu, which can be duplicated and used for industrial purposes, it also provides a starting point for researchers and experts in the field to investigate the FSSW process in detail. A variant of the friction stir welding process (FSW), friction stir spot welding (FSSW) is a relatively new joining technique and has been used in a variety of sectors, such as the automotive and aerospace industries. The book describes the microstructural evolution, chemical and mechanical properties of FSW and FSSW, including a number of case studies.