Hui Liu - Böcker

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

Robot Systems for Rail Transit Applications presents the latest advances in robotics and artificial intelligence for railway systems, giving foundational principles and running through special problems in robot systems for rail transit. State-of-the art research in robotics and railway systems is presented alongside a series of real-world examples. Eight chapters give definitions and characteristics of rail transit robot systems, describe assembly and collaborative robots in manufacturing, introduce automated guided vehicles and autonomous rail rapid transit, demonstrate inspection robots, cover trench robots, and explain unmanned aerial vehicles. This book offers an integrated and highly-practical way to approach robotics and artificial intelligence in rail-transit. Introduces robot and artificial intelligence (AI) systems for rail transit applications Presents research alongside step-by-step coverage of real-world cases Gives the theoretical foundations underlying practical application Offers solutions for high-speed railways from the latest work in robotics Shows how robotics and AI systems afford new and efficient methods in rail transit

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The title brings together wind speed forecasting and railway wind engineering, offering solutions from both fields. Key technologies are presented, along with theories, modeling steps and comparative analyses of forecasting technologies. Each chapter presents case studies and applications, including typical applications and key issues, analysis of wind field characteristics, optimization methods for the placement of a wind anemometer, single-point time series along railways, deep learning algorithms on single-point wind forecasting, reinforcement learning algorithms, ensemble single-point wind forecasting methods, spatial wind, and data-driven spatial-temporal wind forecasting algorithms.

This important book offers practical solutions for railway safety, by bringing together the latest technologies in wind speed forecasting and railway wind engineering into a single volume.

Presents the core technologies and most advanced developments in wind forecasting for railway engineering Gives case studies and experimental designs, demonstrating real-world applications Introduces cutting-edge deep learning and reinforcement learning methods Combines the latest thinking from wind engineering and railway engineering Offers a complete solution to wind forecasting in railway engineering for the safety of running trains

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

OFDM-based Broadband Wireless Networks covers the latest technological advances in digital broadcasting, wireless LAN, and mobile networks to achieve high spectral efficiency, and to meet peak requirements for multimedia traffic. The book emphasizes the OFDM modem, air-interface, medium access-control (MAC), radio link protocols, and radio network planning. An Instructor Support FTP site is available from the Wiley editorial department.

This book introduces high power semiconductor laser packaging design. The challenges of the design and various packaging and testing techniques are detailed by the authors. New technologies and current applications are described in detail.

This book introduces high power semiconductor laser packaging design. The challenges of the design and various packaging and testing techniques are detailed by the authors. New technologies and current applications are described in detail.

Studies have shown that married couples have better mental and physical health than unmarried people. Leading scholars and policy makers propose that marriage can provide similar benefits to people in both same-sex and different-sex relationships. Though research on the health and well-being of same-sex couples is a new and growing field, Marriage and Health: The Well-Being of Same-Sex Couples represents the forefront of marriage and health research and the far-reaching policy implications for the health of same-sex couples. This collection of essays presents new perspectives that address current opportunities and challenges faced by people in same-sex unions in multiple domains of well-being, including physical and mental health, social support, socialized behaviors, and stigmas. The book offers a broad view of same-sex couples’ experiences by examining not only marriage and civil unions, but also dating and cohabiting relationships as well as same-sex sexual experiences outside of relationships.

Studies have shown that married couples have better mental and physical health than unmarried people. Leading scholars and policy makers propose that marriage can provide similar benefits to people in both same-sex and different-sex relationships. Though research on the health and well-being of same-sex couples is a new and growing field, Marriage and Health: The Well-Being of Same-Sex Couples represents the forefront of marriage and health research and the far-reaching policy implications for the health of same-sex couples. This collection of essays presents new perspectives that address current opportunities and challenges faced by people in same-sex unions in multiple domains of well-being, including physical and mental health, social support, socialized behaviors, and stigmas. The book offers a broad view of same-sex couples’ experiences by examining not only marriage and civil unions, but also dating and cohabiting relationships as well as same-sex sexual experiences outside of relationships.

This volume constitutes the revised selected papers of 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024, in Rome, Italy, during February 21–23, 2024. The

The authors of this book, all with a background in condensed matter physics, have carried out advanced researches in recent years to study the optical and magneto-optical properties of many kinds of new functional materials, including metal-based metamaterials, narrow-to-wide-bandgap semiconductors, thin films, and magnetic and magneto-optical materials by using different types of optical methods and instruments.This book describes some of the more recent progresses and developments in the study of condensed matter optics in both theoretic and experimental fields. It will help readers, especially graduate students and scientists who are studying and working in the nano-photonic field, to understand more deeply the characteristics of light waves propagated in nano-structure-based materials with potential applications in the future.

This book introduces the latest research developments in composite nanomaterials and summarizes the fundamentals and technical approaches in synthesis, fabrication and processing of composite nanomaterials. The author describes the intrinsic relationship between the catalytic properties and the physical and chemical effects in the composite materials, providing for theoretical and technical bases for effectively developing novel electrocatalyst - applications of the nanocomposites in energy conversion areas.

This book introduces the latest research developments in composite nanomaterials and summarizes the fundamentals and technical approaches in synthesis, fabrication and processing of composite nanomaterials. The author describes the intrinsic relationship between the catalytic properties and the physical and chemical effects in the composite materials, providing for theoretical and technical bases for effectively developing novel electrocatalyst - applications of the nanocomposites in energy conversion areas.

Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements.

Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements.

This book provides an overview of flood and drought in the Lower Mekong Basin, reviews the characteristics of flood and drought, and details structural and non-structural measures for flood and drought mitigation employed in the basin countries, as well as their flood and drought mitigation capacity.

This book provides an overview of flood and drought in the Lower Mekong Basin, reviews the characteristics of flood and drought, and details structural and non-structural measures for flood and drought mitigation employed in the basin countries, as well as their flood and drought mitigation capacity.

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques.This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities.Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities.

This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy.

This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy.

This book is based on the Special Policy Study on Global Ocean Governance and Ecological Civilization commissioned by the China Council for International Cooperation on Environment and Development (CCICED).

The book is the first international reference on the field of smart device recognition and Ubiquitous Electric Internet of Things (UEIOT).

The book is the first international reference on the field of smart device recognition and Ubiquitous Electric Internet of Things (UEIOT).

This book provides a systematic understanding of urban river management from the perspective of ecosystem health in the Pearl River Delta region of China, where rapid socio-economic development happens together with exploitation and pollution of the natural environment.

This book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working  in the areas of rail transportation, electrical engineering, and information technology.

This book presents a series of state-of-the-art methods for air quality monitoring in various engineering environment by using data science. The book can be used for students, engineers, scientists and managers in the fields of environmental engineering, atmospheric science, urban climate, civil engineering, traffic and vehicle engineering, etc.