Geotechnical Safety and Risk IV contains the contributions presented at the 4th International Symposium on Geotechnical Safety and Risk (4th ISGSR, Hong Kong, 4-6 December 2013), which was organised under the auspices of the Geotechnical Safety Network (GEOSNet), TC304 on Engineering Practice of Risk Assessment and Management and TC205 on Safety and Serviceability in Geotechnical Design of the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE). Geotechnical Safety and Risk IV covers six themes: (1) Geotechnical uncertainty and variability (2) Geohazards such as landslides, earthquakes and climate changes (3) Reliability and risk analysis (4) Reliability-based design and limit-state design in geotechnical engineering (5) Risk assessment and management in geotechnical engineering and infrastructural projects, and (6) Practical applications. Geotechnical Safety and Risk IV is an excellent source of reference on the latest developments and practices of geotechnical risk and safety, and will proof to be invaluable for civil engineers (particularly geotechnical engineers), geologists, and natural hazards reduction agencies. ISGSR IV is a continuation of a series of symposiums and workshops on geotechnical risk and reliability, starting with LSD2000 (Melbourne, Australia), IWS2002 (Tokyo and Kamakura, Japan), LSD2003 (Cambridge, USA), Georisk2004 (Bangalore, India), Taipei2006 (Taipei, Taiwan), 1st ISGSR (Shanghai, China, 2007), 2nd ISGSR (Gifu, Japan, 2009) and 3rd ISGSR (Munich, Germany, 2011).

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

This proceedings book gathers contributions presented at the First International Conference on Embankment Dams (1st ICED, Beijing, 5-7 June 2020), which was the inaugural conference of the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) Technical Committee TC210 on Embankment Dams. The contributions address five themes: (1) case histories on the failure of embankment dams and landslide dams; (2) dam failure process modelling; (3) soil mechanics for embankment dams; (4) dam risk assessment and management; and (5) monitoring, early warning and emergency response. These proceedings offer a unique resource that systematically presents recent dam breaching cases, their social impact, associated risk management strategies, and disposal methods for failed dams. It is an excellent reference guide for dam and levee engineers, flood safety officials, and emergency management agencies.

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

This proceedings book gathers contributions presented at the First International Conference on Embankment Dams (1st ICED, Beijing, 5-7 June 2020), which was the inaugural conference of the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) Technical Committee TC210 on Embankment Dams. The contributions address five themes: (1) case histories on the failure of embankment dams and landslide dams; (2) dam failure process modelling; (3) soil mechanics for embankment dams; (4) dam risk assessment and management; and (5) monitoring, early warning and emergency response. These proceedings offer a unique resource that systematically presents recent dam breaching cases, their social impact, associated risk management strategies, and disposal methods for failed dams. It is an excellent reference guide for dam and levee engineers, flood safety officials, and emergency management agencies.

This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP - such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control - in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.

Dam Failure Mechanisms and Risk Assessment introduces the causes, processes and consequences of dam failures as well as risk assessment and decision methodologies for dam failure emergency management. It begins with a physical understanding of two most common failure mechanisms: internal erosion and overtopping erosion. Such understanding is substantiated by presenting the updated statistics of failures of large dams and landslide dams based on the most recent dam-failure databases compiled by the authors. The last version of statistics of dam failures was presented by the International Commission on Large Dams in 1995. Subsequently, methods for determining dam breaching parameters such as breach geometry and peak flow rate and analyzing the dam breaching flood routing in the downstream river are presented. Afterwards, how the human, property and environment elements in the flooded zones are vulnerable to the dam-breaching floods are assessed and the associated risks assessed quantitatively. Finally methodologies for optimal decision making under uncertainty for risk mitigation are described.