Yan Chen

In an era of aging infrastructure and an increasing demand for safety, structural health monitoring (SHM) has become critical for ensuring the longevity and reliability of buildings, bridges, and other essential structures. Computer Vision and AI in Structural Health Monitoring and Structural Engineering explores cutting-edge approaches to SHM, integrating advancements in computer vision, artificial intelligence (AI), and multimodal technologies to revolutionize how infrastructure is monitored, maintained, and managed. Starting with the fundamentals of SHM and structural engineering, the book examines the transformative power of computer vision applications, such as crack detection, corrosion assessment, and real-time deformation analysis. It also introduces vision-language models (VLMs), enabling automated defect reporting, multimodal analysis, and natural language interfaces for SHM systems.

This book covers up-to-date theoretical and applied advances in fractional order grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models, and methods in the book are original by the author, including grey system model with the fractional order accumulation and its properties, the relationship between the sample size and the stability of grey forecasting model, applications of the fractional order grey models in sustainable development and energy consumption forecasting, grey forecasting model for the middle size data, etc. This book is appropriate as a reference and/or professional book for courses of environmental management and grey system theory for graduate students or high-level undergraduate students, majoring in areas of science, technology, agriculture, environmental science, earth science, economics, and management. It is also utilized by researchers and practitioners in research institutions, business entities, and government agencies.

This book covers up-to-date theoretical and applied advances in fractional order grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models, and methods in the book are original by the author, including grey system model with the fractional order accumulation and its properties, the relationship between the sample size and the stability of grey forecasting model, applications of the fractional order grey models in sustainable development and energy consumption forecasting, grey forecasting model for the middle size data, etc. This book is appropriate as a reference and/or professional book for courses of environmental management and grey system theory for graduate students or high-level undergraduate students, majoring in areas of science, technology, agriculture, environmental science, earth science, economics, and management. It is also utilized by researchers and practitioners in research institutions, business entities, and government agencies.

Drawing on holistic research and professional practice, this book provides rich empirical, scientific, and clinical lenses to the discourse on wellbeing in higher education. The authors have appraised the underlying, conceptual, empirical, and applied nature of existing mind-body programmes often utilized to cultivate wellbeing (e.g., seated meditation, yoga, Taijiquan, Pilates, Feldenkrais, biofeedback, and the Alexander technique). Higher education is touted as a sector that develops new ideas for the wider community as well as ensuring students are provided with the skills, knowledge, and attitudes to positively contribute to the wider community. Within this setting, there are numerous benefits (e.g., attaining a reputable qualification), but there are also risks (e.g., stressors associated with expectations). To ensure the higher education setting is a place of wellbeing in addition to achievement, several strategies are promoted to assist staff and students whilst working and studying. Chapters offer clear implications for research and practice, and explore effective strategies for enhancing wellbeing for students and staff. The integrative mind-body programmes have considerable potential for developing wellbeing in the higher education settings. As such, this book will appeal to academics and researchers in the higher education sector, including scholar-practitioners, and teacher educators.

Drawing on holistic research and professional practice, this book provides rich empirical, scientific, and clinical lenses to the discourse on wellbeing in higher education. The authors have appraised the underlying, conceptual, empirical, and applied nature of existing mind-body programmes often utilized to cultivate wellbeing (e.g., seated meditation, yoga, Taijiquan, Pilates, Feldenkrais, biofeedback, and the Alexander technique). Higher education is touted as a sector that develops new ideas for the wider community as well as ensuring students are provided with the skills, knowledge, and attitudes to positively contribute to the wider community. Within this setting, there are numerous benefits (e.g., attaining a reputable qualification), but there are also risks (e.g., stressors associated with expectations). To ensure the higher education setting is a place of wellbeing in addition to achievement, several strategies are promoted to assist staff and students whilst working and studying. Chapters offer clear implications for research and practice, and explore effective strategies for enhancing wellbeing for students and staff. The integrative mind-body programmes have considerable potential for developing wellbeing in the higher education settings. As such, this book will appeal to academics and researchers in the higher education sector, including scholar-practitioners, and teacher educators.

The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? Fundamentals of Connected and Automated Vehicles is written to answer these questions, educating the reader with the information required to make informed predictions of how and when CAVs will impact their lives. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.

This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy. This book reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavioron the network evolution process and demonstrates how this can help improve network performance. Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.

Learn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.

This translation of collected articles by Yan Chen (1916–2016) examines the role of the Maritime Silk Road in the formation of world civilizations. Analyzing the Maritime Silk Road’s political, economic, cultural, and technological influence, Chen argues that this expansive trade network was vital to the spread of traditional Chinese culture.

This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy. This book reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavioron the network evolution process and demonstrates how this can help improve network performance. Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.

The Open Access version of this book, available at http://www.routledge.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. Motion structures are simply assemblies of resistant bodies connected by movable joints. Unlike conventional structures, they allow large shape transformations to satisfy practical requirements and they can be used in:shelters, emergency structures and exhibition standsaircraft morphing wingssatellite solar panels and space antennasmorphing core materials for compositesmedical implants for minimum invasive surgery. Though traditionally the subject falls within structural engineering, motion structures are more closely related to other mechanisms, and they draw on the principles of kinematic and geometrical analysis in their design. Indeed their design and analysis can be viewed as an extension of the theory of mechanisms, such as rigid origami, and can make effective use of a wealth of mathematical principles. This book outlines the relevant underlying theory of motion structural concepts, and uses a number of innovative but simple structures as examples.

The Open Access version of this book, available at http://www.routledge.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. Motion structures are simply assemblies of resistant bodies connected by movable joints. Unlike conventional structures, they allow large shape transformations to satisfy practical requirements and they can be used in:shelters, emergency structures and exhibition standsaircraft morphing wingssatellite solar panels and space antennasmorphing core materials for compositesmedical implants for minimum invasive surgery. Though traditionally the subject falls within structural engineering, motion structures are more closely related to other mechanisms, and they draw on the principles of kinematic and geometrical analysis in their design. Indeed their design and analysis can be viewed as an extension of the theory of mechanisms, such as rigid origami, and can make effective use of a wealth of mathematical principles. This book outlines the relevant underlying theory of motion structural concepts, and uses a number of innovative but simple structures as examples.