Ming Yang – författare

Artificial Intelligence in Safety Science and Engineering serves as a comprehensive guide to the latest Artificial Intelligence (AI) research and the ways in which it can be applied to multiple crucial topics in process engineering. This book couples a strong theoretical overview and real-world case studies and methodology details, to help with experimental design and troubleshooting when implementing smart technologies and AI. The book covers the latest applications of smart technologies and AI as they can be applied to many prominent topics in the fields of process safety, such as the fundamental of AI technologies, the advanced methods of machine learning, the application to process accidental modeling and analysis, the application to process risk assessment, the application to process fault diagnosis and prognosis, the application to predictive maintenance, the application to process emergency response optimization, the application to simulation and training and the application to process incident prediction and prevention.Artificial Intelligence in Safety Science and Engineering will be a valuable resource for academics, students and researchers working in the process safety domain, particularly those working with chemical processes at the industrial level. This book will also be a useful guide for government policy makers and decision makers in industry focusing on process safety regulation, standards, legislation and risk management.Outlines the fundamentals of machine/deep learning methods applicable to process safetyDetails advanced machine and deep learning methodologies for risk assessment and management in chemical process engineeringOffer theoretical and practical advice for using smart technology for process fault diagnosis and prognosisDiscusses recent advances in smart AI techniques to process safety, as applied to industrial chemistry and chemical processesCovers applications of smart technology and AI in human behavior analysis for risk analysis

Methods and Tools for Resilience and Dynamic Risk Assessment of Chemical Processes introduces systematic approaches in risk assessment in chemical process safety along with relevant tools, models and latest methodologies for assessing safety and resilience in chemical processes, systems engineering, risk and resilience engineering, and simulation and modelling. The first chapters in this book outline the theoretical framework of chemical process safety, emphasizing the integration of safety into chemical engineering through key ideas like inherent safety and corporate culture. It highlights the significance of Process Hazard Identification (PHI) methods, including traditional techniques and advancements such as AI, for effectively identifying and mitigating hazards. Further chapters investigate advanced hazard assessment methodologies like Systems Theoretic Process Analysis (STPA) and Risk-Based Process Safety (RBPS), alongside dynamic risk assessment techniques. The text also discusses the evolution of "resilience" in process safety, resilience assessment methods, and simulation tools for enhancing safety. This book includes real-world case studies coupled with insights on future trends in technology to help researchers and students alike to conduct their own future research into risk and resilience assessment in chemical process safety fields. This book will be an invaluable guide to anyone working in chemical process safety, particularly within the fields of risk assessment, systems modelling and control.Details state-of-the-art safety and resilience assessment methodologiesIntegrates control and systems engineering processes with simulation and modelling techniquesFocuses on dynamic risk assessment and resilience-building strategies, reflecting the latest trends for simultaneous safety, sustainability, and process optimization and intensificationProvides full details of tools, methods, and case studies for real-world applications of risk analysis in chemical processesDiscusses future implications and trends in chemical process safety and security focusing on AI and IOT driven techniques

This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices.Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies.This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.

The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats. Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security solicitations. Through an exploration of the revolutionary possibilities of AI and ML technologies, this book seeks to disentangle the intricacies of today’s security concerns. There is a fundamental shift in the security soliciting landscape, driven by the extraordinary expansion of data and the constant evolution of cyber threat complexity. This shift calls for a novel strategy, and AI and ML show great promise for strengthening digital defenses. This volume offers a thorough examination, breaking down the concepts and real-world uses of this cutting-edge technology by integrating knowledge from cybersecurity, computer science, and related topics. It bridges the gap between theory and application by looking at real-world case studies and providing useful examples. Protecting and Mitigating Against Cyber Threats provides a roadmap for navigating the changing threat landscape by explaining the current state of AI and ML in security solicitations and projecting forthcoming developments, bringing readers through the unexplored realms of AI and ML applications in protecting digital ecosystems, as the need for efficient security solutions grows. It is a pertinent addition to the multi-disciplinary discussion influencing cybersecurity and digital resilience in the future. Readers will find in this book: Provides comprehensive coverage on various aspects of security solicitations, ranging from theoretical foundations to practical applications;Includes real-world case studies and examples to illustrate how AI and machine learning technologies are currently utilized in security solicitations;Explores and discusses emerging trends at the intersection of AI, machine learning, and security solicitations, including topics like threat detection, fraud prevention, risk analysis, and more;Highlights the growing importance of AI and machine learning in security contexts and discusses the demand for knowledge in this area.Audience Cybersecurity professionals, researchers, academics, industry professionals, technology enthusiasts, policymakers, and strategists interested in the dynamic intersection of artificial intelligence (AI), machine learning (ML), and cybersecurity.

The Chinese government set a target to reduce China’s carbon intensity by 40%-45% in 2020 at its 2005 level. To achieve this target, the government has allocated targets to provinces, cities, and large enterprises, and selected five pilot provinces and eight cities for CO2 emission trading. Such emission trading process will involve decentralization, optimization, and negotiation. The prime objective of this book is to perform academic research on simulating the negotiation process. Through this research, a methodological framework and its implementation are set up to analyze, model and facilitate the process of negotiation among central government and individual energy producers under environmental, economical and social constraints. Negotiation In Decentralization: Case Study Of China's Carbon Trading In The Power Sector discusses research carried out on negotiation issues in China regarding Chinese power sector reform over the past 30 years. Results show that conflicts exist between power groups and the national government, and that the most current negotiation topics in China's power industry are demand and supply management, capital investment, energy prices, and CO2 emission mitigations. Negotiation In Decentralization: Case Study Of China's Carbon Trading In The Power Sector is written for government policy makers, energy and environment industry investors, energy program and project managers, environment conservation specialists, university professors, researchers, and graduate students. It aims to provide a methodology and a tool that can resolve difficult negotiation issues and change a loss-loss situation to a win-win situation for key players in a decentralized system, including government policymakers, energy producers, and environment conservationists.

Energy efficiency plays and will continue to play an important role in the world to save energy and mitigate greenhouse gas (GHG) emissions. However, little is known on how much additional capital should be invested to ensure using energy efficiently as it should be, and very little is known which sub-areas, technologies, and countries shall achieve maximum greenhouse gas emissions mitigation per dollar of investment in energy efficiency worldwide. Analyzing completed and slowly moving energy efficiency projects by the Global Environment Facility during 1991-2010, Closing the Gap: GEF Experiences in Global Energy Efficiency evaluates impacts of multi-billion-dollar investments in the world energy efficiency. It covers the following areas: 1.       Reviewing the world energy efficiency investment and disclosing the global energy efficiency gap and market barriers that cause the gap;2.       Leveraging private funds with public funds and other resources in energy efficiency investments; using these funds in tangible and intangible asset investments; 3.       Investment effectiveness indollars per metric ton of CO2 emissions mitigation in 10 energy efficiency sub-areas;4.       Major barriers causing failure and abandonments in energy efficiency investments;5.       Quantification of direct and indirect CO2 emissions mitigations inside and outside a project boundary; and6.       Classification and estimation of CO2 emissions mitigations from tangible and intangible asset investments. Closing the Gap: GEF Experiences in Global Energy Efficiency can serve as a handbook for policymakers, project investors and managers, and project implementation practitioners in need of benchmarks in energy efficiency project investments for decision-making. It can also be used by students, researchers and other professionals in universities and research institutions in methodology development for evaluating energy efficiency projects and programs.

The Chinese government set a target to reduce China’s carbon intensity by 40%-45% in 2020 at its 2005 level. To achieve this target, the government has allocated targets to provinces, cities, and large enterprises, and selected five pilot provinces and eight cities for CO2 emission trading. Such emission trading process will involve decentralization, optimization, and negotiation. The prime objective of this book is to perform academic research on simulating the negotiation process. Through this research, a methodological framework and its implementation are set up to analyze, model and facilitate the process of negotiation among central government and individual energy producers under environmental, economical and social constraints. Negotiation In Decentralization: Case Study Of China's Carbon Trading In The Power Sector discusses research carried out on negotiation issues in China regarding Chinese power sector reform over the past 30 years. Results show that conflicts exist between power groups and the national government, and that the most current negotiation topics in China's power industry are demand and supply management, capital investment, energy prices, and CO2 emission mitigations. Negotiation In Decentralization: Case Study Of China's Carbon Trading In The Power Sector is written for government policy makers, energy and environment industry investors, energy program and project managers, environment conservation specialists, university professors, researchers, and graduate students. It aims to provide a methodology and a tool that can resolve difficult negotiation issues and change a loss-loss situation to a win-win situation for key players in a decentralized system, including government policymakers, energy producers, and environment conservationists.

Energy efficiency plays and will continue to play an important role in the world to save energy and mitigate greenhouse gas (GHG) emissions. However, little is known on how much additional capital should be invested to ensure using energy efficiently as it should be, and very little is known which sub-areas, technologies, and countries shall achieve maximum greenhouse gas emissions mitigation per dollar of investment in energy efficiency worldwide. Analyzing completed and slowly moving energy efficiency projects by the Global Environment Facility during 1991-2010, Closing the Gap: GEF Experiences in Global Energy Efficiency evaluates impacts of multi-billion-dollar investments in the world energy efficiency. It covers the following areas: 1.       Reviewing the world energy efficiency investment and disclosing the global energy efficiency gap and market barriers that cause the gap;2.       Leveraging private funds with public funds and other resources in energy efficiency investments; using these funds in tangible and intangible asset investments; 3.       Investment effectiveness indollars per metric ton of CO2 emissions mitigation in 10 energy efficiency sub-areas;4.       Major barriers causing failure and abandonments in energy efficiency investments;5.       Quantification of direct and indirect CO2 emissions mitigations inside and outside a project boundary; and6.       Classification and estimation of CO2 emissions mitigations from tangible and intangible asset investments. Closing the Gap: GEF Experiences in Global Energy Efficiency can serve as a handbook for policymakers, project investors and managers, and project implementation practitioners in need of benchmarks in energy efficiency project investments for decision-making. It can also be used by students, researchers and other professionals in universities and research institutions in methodology development for evaluating energy efficiency projects and programs.

This book discusses how energy efficiency benefits the global environment, national energy security, local pollution mitigation, natural resource conservation, and utility bill reduction. In addition, this book provides many hands-on skills and knowledge to identify and develop energy efficiency projects. The literature review shows that energy efficiency has become the first fuel in the world energy supply. With empirical analyses, this book indicates that without continued investment in energy efficiency, neither China nor the U.S. could achieve their carbon emission reduction targets that were announced on November 13, 2014 during the Beijing 2014 APEC meeting. The authors argue that energy efficiency will become the first tool to mitigate climate change. These include (1) identifying energy efficiency barriers, (2) developing energy policies, (3) investing in energy efficient technologies, (4) undertaking project cost-effectiveness analysis, (5) de-risking and financing energy efficiency projects; (6) developing and managing energy service companies, and (7) promoting urban transport efficiency. Two case studies in energy efficiency improvement in electrical motors and industrial boilers are also presented. This book is written for college and university students, practitioners, researchers, consultants, project developers, and policy makers who want to dedicate their professional careers in global energy efficiency improvement, climate change mitigation, local clean air initiatives, and energy bill reduction.

This book discusses how energy efficiency benefits the global environment, national energy security, local pollution mitigation, natural resource conservation, and utility bill reduction. In addition, this book provides many hands-on skills and knowledge to identify and develop energy efficiency projects. The literature review shows that energy efficiency has become the first fuel in the world energy supply. With empirical analyses, this book indicates that without continued investment in energy efficiency, neither China nor the U.S. could achieve their carbon emission reduction targets that were announced on November 13, 2014 during the Beijing 2014 APEC meeting. The authors argue that energy efficiency will become the first tool to mitigate climate change. These include (1) identifying energy efficiency barriers, (2) developing energy policies, (3) investing in energy efficient technologies, (4) undertaking project cost-effectiveness analysis, (5) de-risking and financing energy efficiency projects; (6) developing and managing energy service companies, and (7) promoting urban transport efficiency. Two case studies in energy efficiency improvement in electrical motors and industrial boilers are also presented. This book is written for college and university students, practitioners, researchers, consultants, project developers, and policy makers who want to dedicate their professional careers in global energy efficiency improvement, climate change mitigation, local clean air initiatives, and energy bill reduction.

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.

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency.

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 constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

This book presents a comprehensive and cutting-edge overview of the educational governance reform trajectory and the latest issues in China, addressing several important topics such as administration, internal management, provision, enrollment, employment, financing, examinations, evaluation and quality assurance. In addition, this important and timely book discusses the educational system at all levels, from primary and secondary schools to colleges and universities, and each chapter ends with a discussion of the status quo, problems facing China and coping strategies for further reform. The past 68 years (1949-2016) have seen a sea change in social, economic, cultural, political and educational fields. Systematically describing the educational landscape in China, the book also reveals how the massive changes in China have shaped education, and how education has responded to the new demands placed on it.Offering essential insights into educational reform in China, the book represents a valuable resource, especially for researchers and graduate students in the field of education.

This book presents a comprehensive and cutting-edge overview of the educational governance reform trajectory and the latest issues in China, addressing several important topics such as administration, internal management, provision, enrollment, employment, financing, examinations, evaluation and quality assurance.

This book provides a comprehensive introduction to artificial hearts, summarizing the latest advances in basic technologies, design, evaluation, and management. Featuring 11 chapters, it discusses the origins of the artificial heart, the mechanisms of heart failure, and the principles of artificial heart technologies.

This book provides a comprehensive introduction to artificial hearts, summarizing the latest advances in basic technologies, design, evaluation, and management. Featuring 11 chapters, it discusses the origins of the artificial heart, the mechanisms of heart failure, and the principles of artificial heart technologies.

This conference is one of the most significant annual events of the China Electrotechnical Society, showcasing the latest research trends, methodologies, and experimental results in electrical, electronic, and networked energy systems. The proceedings cover a wide range of cutting-edge theories and ideas, including topics such as power systems, power electronics, smart grids, renewable energy, energy integration in transportation, advanced power technologies, and the energy internet.The aim of these proceedings is to provide a key interdisciplinary platform for researchers, engineers, academics, and industry professionals to present groundbreaking developments in the field of electrical, electronic, and networked energy systems. It also offers engineers and researchers from academia, industry, and government a comprehensive view of innovative solutions that integrate concepts from multiple disciplines.These volumes serve as a valuable reference for researchers and graduate students in electrical engineering.

From the perspective of the market, this book discusses the basic theories and operation mechanism of intellectual property transactions based on the behavior choice theory, aiming to deeply understand how the specific systems and rules of intellectual property are operated or applied beyond the external form of system application.China's long-standing intellectual property legal doctrines and the corresponding knowledge system (whether legislative, judicial or theoretical research) deserve reflection in three aspects: (i) the neglect of market principles; (ii) the lack of behaviorism research perspectives and methods, and (iii) the lack of systematic degree of existing research. This book is an introspection on the basic theoretical research of intellectual property in China from the above three aspects.This book closely focuses on the coupling relationship between "system implementation" and "behavior choice," along with the logical context of intellectual property transactions, the institutional mechanism behind the specific transaction forms is investigated, and its benefits are analyzed. And, the essence of the economic mechanism of the intellectual property system is deeply interpreted from both theoretical and practical aspects.The target audience is intellectual property law researcher, and the content level is the theoretical foundation research.Starting from the principles of the entitlement of intellectual property, this book tries to reveal the institutional implication of the creation of right, the boundary of right and the attribute of right. And, this book also tries to sort out the matching attribute between the existing intellectual property systems and the operation of the intellectual property market. Finally, by analyzing the correlation between the market environment and the subject's behavior choice, this book tries to clarify the internal logic between "system," "market" and "behavior." These aforesaid features will help IP researchers deeply understand how existing legal systems and rules affect specific intellectual property transactions.

This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems.