Chao Chen – författare

Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems. The book consists of three main parts, focusing on the environment, people and energy. Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and trajectory projection, clustering and anomaly detection in crowd hotspots, monitoring and prediction for station humidity, monitoring and spatial prediction for air pollutants, time series feature extraction and analysis of metro load, characteristic and correlation analysis of metro load, and prediction and intelligent ventilation control.

This volume offers a key reference on the emerging area of smart metro stations and will be useful to those working on smart railways, data science, engineering, artificial intelligence and aligned fields.

Presents relevant core technologies of data science and engineering in smart metro station systems Describes systems based on holographic perception, terminal platform control and highly-autonomous operation Gives a large number of practical case studies and experimental designs Introduces state-of-the-art machine learning and data mining methods for smart metro station systems Offers a comprehensive, up-to-date research solution for the emerging area of smart metro stations

Robotics: From Theory to Practice introduces robotic theories and technologies to audiences, including university students, professionals with engineering backgrounds, and even high-school students interested in building their own robots. We aim to bridge the gap between classic theories and real-world applications of robotic manipulators, which, to date, have far exceeded the domain of conventional industry.The contents are divided into three parts. The first two cover classic theories of robotics, including kinematics, dynamics, path planning, control, and programming. Specifically, Part I is an introduction targeting junior students, featuring more simplistic topics and examples. Part II provides the senior students and professionals with more in-depth discussions on critical topics and more comprehensive examples. In Part III, we demonstrate how classic robotics theory can be extended to more advanced theoretical frameworks and adopted in real-world applications beyond conventional industries.This textbook is valuable to broad readers, including those who have limited background in general engineering and wish to explore non-conventional applications of robotic manipulators. The scaffolded contents from Part I to Part III are created to lower the prerequisites and smooth the learning curve.

Robotics: From Theory to Practice introduces robotic theories and technologies to audiences, including university students, professionals with engineering backgrounds, and even high-school students interested in building their own robots. We aim to bridge the gap between classic theories and real-world applications of robotic manipulators, which, to date, have far exceeded the domain of conventional industry.The contents are divided into three parts. The first two cover classic theories of robotics, including kinematics, dynamics, path planning, control, and programming. Specifically, Part I is an introduction targeting junior students, featuring more simplistic topics and examples. Part II provides the senior students and professionals with more in-depth discussions on critical topics and more comprehensive examples. In Part III, we demonstrate how classic robotics theory can be extended to more advanced theoretical frameworks and adopted in real-world applications beyond conventional industries.This textbook is valuable to broad readers, including those who have limited background in general engineering and wish to explore non-conventional applications of robotic manipulators. The scaffolded contents from Part I to Part III are created to lower the prerequisites and smooth the learning curve.

This book constitutes the refereed proceedings of the 14th International Conference on Network and System Security, NSS 2020, held in Melbourne, VIC, Australia, in November 2020. The 17 full and 9 short papers were carefully reviewed and selected from 60 submissions.

This book provides insight into domino effects in industrial chemical sites and process industries. It is about the integration of safety and security resources to prevent and mitigate domino effects in the process industries. It explains how chemical industrial areas, comprised of various hazardous installations, are susceptible to a chain of undesired events, or domino effects, triggered by accidental events or intentional attacks and then presents solutions to prevent them.Firstly, the book provides a dynamic graph approach to model the domino effects induced by accidental fire or intentional fire, considering the spatial-temporal evolution of fires. Then, a dynamic risk assessment method based on a discrete dynamic event tree is proposed to assess the likelihood of VCEs and the vulnerability of installations, addressing the time dependencies in vapor cloud dispersion and the uncertainty of delayed ignitions. A dynamic methodology based on dynamic graphs and Monte Carlois provided to assess the vulnerability of individuals and installations exposed to multi-hazards, such as fire, explosion and toxic release during escalation events. Based on these domino effect models, an economic approach is developed to integrate safe and security resources, obtaining the most cost–benefit protection strategy for preventing domino effects. Finally, a resilience-based approach is provided to find out the most cost-resilient way to protect chemical industrial areas, addressing possible domino effects.This integrated approach will be of interest to researchers, industrial engineers, chemical engineers and safety managers and will help professionals to new solutions in the area of safety and security.

This book provides insight into domino effects in industrial chemical sites and process industries. It is about the integration of safety and security resources to prevent and mitigate domino effects in the process industries. It explains how chemical industrial areas, comprised of various hazardous installations, are susceptible to a chain of undesired events, or domino effects, triggered by accidental events or intentional attacks and then presents solutions to prevent them.Firstly, the book provides a dynamic graph approach to model the domino effects induced by accidental fire or intentional fire, considering the spatial-temporal evolution of fires. Then, a dynamic risk assessment method based on a discrete dynamic event tree is proposed to assess the likelihood of VCEs and the vulnerability of installations, addressing the time dependencies in vapor cloud dispersion and the uncertainty of delayed ignitions. A dynamic methodology based on dynamic graphs and Monte Carlois provided to assess the vulnerability of individuals and installations exposed to multi-hazards, such as fire, explosion and toxic release during escalation events. Based on these domino effect models, an economic approach is developed to integrate safe and security resources, obtaining the most cost–benefit protection strategy for preventing domino effects. Finally, a resilience-based approach is provided to find out the most cost-resilient way to protect chemical industrial areas, addressing possible domino effects.This integrated approach will be of interest to researchers, industrial engineers, chemical engineers and safety managers and will help professionals to new solutions in the area of safety and security.

This book constitutes the refereed proceedings of the 15th International Conference on Network and System Security, NSS 2021, held in Tianjin, China, on October 23, 2021. The 16 full and 8 short papers presented in this book were carefully reviewed and selected from 62 submissions.

This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11–14, 2023. The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions.

This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.

This book constitutes the proceedings of the First International Workshop on Topology- and Graph-Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.The 13 full papers presented here were carefully reviewed and selected. These papers focus on the application of Topological Data Analysis (TDA) techniques, along with other computational techniques, for summarizing, analyzing, quantifying, and visualizing complex medical data for a more effective and efficient analysis.

This book offers a comprehensive review of disinfection by-products (DBPs), exploring various aspects from detection methods and precursors to their potential health risks, regulation, and future implications.

This book offers a comprehensive review of disinfection by-products (DBPs), exploring various aspects from detection methods and precursors to their potential health risks, regulation, and future implications. This book is also a memorial to the 50th anniversary of the first major DBP report in 1974 by Dr. Rook, who identified chloroform in chlorinated drinking water, initiating the study of DBPs. For half a century, chemists, toxicologists, engineers and regulators have been identifying more DBPs, understanding their formation mechanism, evaluating their health effects on the public, and minimizing and controlling their formation in drinking water. Divided into four parts, the book commences with an introduction to the general knowledge of DBPs, shedding light on the significance of DBPs and their impact on water quality. It also delves into the detection methods employed to identify and quantify DBPs, offering readers invaluable insights into cutting-edge techniques and emerging technologies, and explores the sources and characteristics of DBP precursors. In Part II, several expert contributors provide an overview of individual DBPs, including halogenated aliphatic, iodinated, aromatic, and heterocyclic DBPs, discussing their properties and potential implications. The discussion extends to nitrogenous DBPs, the group of nitrosamines, and inorganic DBPs as well. Part III provides an authoritative perspective on the relationship between energy consumption, climate change, and DBP formation, offering also insights into DBPs in the context of water treatment plants, water reuse plants, swimming pools, and everyday life. The book closes with a section devoted to the health effects of DBPs, where particular attention is given to the analysis of the toxicity and health risks associated with DBPs. In this section, readers will find more about the potential adverse effects of DBPs on human health and current research on risk assessment and management strategies. In today's era of water scarcity and increasing demands for safe drinking water, the presence of DBPs has emerged as a critical concern in the field of public health. This book is, therefore, an invaluable resource for researchers, water treatment professionals, public health officials, and policymakers seeking a comprehensive understanding of DBPs.

This book introduces advanced theories, models, and practices on the resilience of oil and gas infrastructures to support the resilience management of critical infrastructures, overcoming the limitations of safety management of critical infrastructures. Different disruptions (e.g., unintentional disruptions, intentional disruptions, natural disasters) and the performance of critical infrastructures exposed to different disruptions are considered. Besides theories and models, this book provides resilience assessment practices for different oil and gas infrastructures including natural gas pipelines, oil pipelines, submarine pipelines, railway oil transportation systems, submarine pipelines, LNG shipping systems, oil terminals, and LNG terminals. Besides fossil energies, the resilience assessment of renewable energy infrastructures such as hydrogen refueling stations is also introduced in this study. As a result, this study can play an important role in the development of resilience assessment research, inspire new researchers, and support resilience assessment and management practices for critical infrastructures.

This book uncovers the mysterious social and political structures of China's "Third Front," the large state-sponsored development of inland China during the late Maoist period.

This book uncovers the mysterious social and political structures of China's "Third Front," the large state-sponsored development of inland China during the late Maoist period.

This book constitutes the refereed proceedings of the 13th China Conference on Wireless Sensor Networks, CWSN 2019, held in Chongqing, China, in October 2019. The 27 full papers were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on fundamentals on Internet of Things;

Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection.

Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection.