Hao Li – författare

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.- Learn from 13 practical case studies using field, laboratory, and simulation data- Become knowledgeable with data science and analytics terminology relevant to subsurface characterization- Learn frameworks, concepts, and methods important for the engineer''s and geoscientist''s toolbox needed to support

This book explores the interrelations between communal memory and the sense of history in George Eliot''s novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major nineteenth-century theories and argues for a reappraisal of George Eliot''s complex understanding of the dialects of memory and history, an understanding that both integrates and transcends the positivist and the romantic-historical approaches of her time.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major nineteenth-century theories and argues for a reappraisal of George Eliot's complex understanding of the dialects of memory and history, an understanding that both integrates and transcends the positivist and the romantic-historical approaches of her time.

This Element introduces the exotic wave phenomena arising from the extremely small optical refractive index, and sheds light on the underlying mechanisms, with a primary focus on the basic concepts and fundamental wave physics. The authors reveal the exciting applications of ENZ metamaterials, which have profound impacts over a wide range of fields of science and technology. The sections are organized as follows: in Section 2, the authors demonstrate the extraordinary wave properties in ENZ metamaterials, analyzing the unique wave dynamics and the resulting effects. Section 3 is dedicated to introducing various realization methods of the ENZ metamaterials with periodic and non-periodic styles. The applications of ENZ metamaterials are discussed in Sections 4 and 5, from the perspectives of microwave engineering, optics, and quantum physics. The authors close in Section 6 by presenting an outlook on the development of ENZ metamaterials and discussing the key challenges addressed in future works.

This Element introduces the exotic wave phenomena arising from the extremely small optical refractive index, and sheds light on the underlying mechanisms, with a primary focus on the basic concepts and fundamental wave physics. The authors reveal the exciting applications of ENZ metamaterials, which have profound impacts over a wide range of fields of science and technology. The sections are organized as follows: in Section 2, the authors demonstrate the extraordinary wave properties in ENZ metamaterials, analyzing the unique wave dynamics and the resulting effects. Section 3 is dedicated to introducing various realization methods of the ENZ metamaterials with periodic and non-periodic styles. The applications of ENZ metamaterials are discussed in Sections 4 and 5, from the perspectives of microwave engineering, optics, and quantum physics. The authors close in Section 6 by presenting an outlook on the development of ENZ metamaterials and discussing the key challenges addressed in future works.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major nineteenth-century theories and argues for a reappraisal of George Eliot's complex understanding of the dialects of memory and history, an understanding that both integrates and transcends the positivist and the romantic-historical approaches of her time.

Am 1.1.2021 trat das am 28.05.2020 verabschiedete neue Zivilgesetzbuch der Volksrepublik China (ZGB) in Kraft. Dies stellt einen bedeutenden Schritt auf dem bis zum Beginn des 20. Jh. in die Qing-Dynastie zurückreichenden Weg hin zu einem einheitlichen Zivilgesetzbuch dar. Dieser Band stellt dank der Expertise namhafter deutschen und chinesischen Autorinnen und Autoren eine Auswahl von Neuregelungen des besonderen Teils des chinesischen ZGB vor und wirft zugleich auch einen rechtsvergleichenden Blick auf die deutsche Rechtsordnung. Gleichzeitig ist dieses Werk auch Ausdruck der guten deutsch-chinesischen Forschungsbeziehungen.Mit Beiträgen vonProf. Dr. Martina Benecke; Ass.-Prof. Dr. Ruyi Du, LL.M.; Dr. Carmen Freyler; Prof. Dr. Beate Gsell; Prof. Dr. Michael Kort; Dr. Weiwei Lei; Prof. Dr. Hao Li; Dr. Yungyang Li, LL.M.; Prof. Dr. Zhiyang Liu, LL.M.; Prof. Dr. Thomas M.J. Möllers; Prof. Dr. Keping Ran; Dr. Dorothee Schulze; Prof. Dr. Reiner Schulze; Dr. Liuhua Shen, LL.M.; Matthias Veicht; Prof. Dr. Peter A. Windel; Prof. Dr. Wolfgang Wurmnest; Prof. Dr. Tong Zhang, LL.M.; ao. Prof. Dr. Lijun Zhu; Prof. Dr. Xiaofeng Zhu und Prof. Dr. Xiaozhe Zhu.

Um der gestiegenen wirtschaftlichen Bedeutung des Landes gerecht zu werden, beschloss der Nationale Volkskongress der Volksrepublik China, bis 2020 ein marktwirtschaftlich orientiertes Zivilgesetzbuch zu schaffen. Erster Schritt war der Erlass der General Rules of Civil Law im März 2017, eines neuen Allgemeinen Teils für das Zivilrecht. Im Rahmen einer Tagung der Forschungsstelle für chinesisches Recht an der Universität Augsburg diskutierten chinesische und deutsche Rechtswissenschaftler im Juli 2017 Gemeinsamkeiten und Unterschiede der Rechtsordnungen sowie deren gesellschaftliche und politischen Hintergründe. Ein besonderes Augenmerk wurde auf die Teilbereiche Allgemeine Rechtsprinzipien, natürliche und juristische Personen, Recht der Willenserklärungen und das Haftungsrecht gelegt. Die Ergebnisse präsentiert der nun vorliegende Tagungsband. Er konzentriert sich auf verschiedene Teilbereiche der Reform und stellt diese aus chinesischer und bisweilen auch aus deutscher Perspektive dar. Außerdem enthält der Band den originalen chinesischen Gesetzestext der General Rules of Civil Law, sowie eine synoptisch dazu dargestellte englisch- und deutschsprachige Übersetzung des Gesetzestextes.Mit Beiträgen vonProf. Dr. Hao Li; Prof. Dr. Thomas M.J. Möllers; Prof. Dr. Hongjie Man; Prof. Dr. Raphael Koch; Finn Mrugalla; Prof. Dr. Tong Zhang; Prof. Dr. Michael Kort; Dr. Tianfan Wang; Qiangzhi Hu; Prof. Dr. Guangyu Fu; Dr. Jing Jin; Dr. Jieqiong Li.

Traditional Chinese Medicine has played an important role in the treatment of COVID-19 in China. As the first batch of national Chinese medicine team in China, the authors shared their experience of treating severe COVID-19 cases with TCM at Jinyintan Hospital in Wuhan, the epicenter of the outbreak in China. Twenty severe cases have been selected and reported in this book. The medical history, inspection results and treatment rationales have been described in detail, adequately illustrated with color pictures of the tongues.The book is organized as follows: The etiology and pathogenesis from TCM perspectives are comprehensively discussed in the introduction. Part I includes various theories of different experts. Part II presents reports of the clinical cases one by one.

This book enables readers to acquire a fundamental knowledge of computer vision from the perspective of geometry, including knowledge of image processing and pattern recognition intended for two-dimensional geometry analysis of images, knowledge of computer vision intended for three-dimensional geometry analysis of images. From the pedagogic point of view, the author intends that this book helps students develop an ability to flexibly apply geometry fundamentals of computer vision to solve practical engineering problems. In this sense, this book is also a professional reference for engineers dedicated to computer vision involved intelligent systems. This book attaches importance to clarification of how relevant knowledge of computer vision stems from practical applications and emphasizes the dialectic relationship between the knowledge and practical applications, enabling readers not only to “know how” for practice, but also to “know why” in terms of mathematical essence. Throughout this book, the author tends to provide detailed theoretical derivations and explanations to clarify essential reasons behind computer vision methods. Besides, this book provides plenty of original demonstration code scripts (in Matlab) that are complete, interesting, easy for practice, and of application values for engineering activities. By code demonstration, the author presents how to flexibly take advantage of geometry fundamentals of computer vision to realize various kinds of visual effects that are actually technology basis of many interesting and useful applications.

This book enables readers to acquire a fundamental knowledge of computer vision from the perspective of geometry, including knowledge of image processing and pattern recognition intended for two-dimensional geometry analysis of images, knowledge of computer vision intended for three-dimensional geometry analysis of images. From the pedagogic point of view, the author intends that this book helps students develop an ability to flexibly apply geometry fundamentals of computer vision to solve practical engineering problems. In this sense, this book is also a professional reference for engineers dedicated to computer vision involved intelligent systems. This book attaches importance to clarification of how relevant knowledge of computer vision stems from practical applications and emphasizes the dialectic relationship between the knowledge and practical applications, enabling readers not only to “know how” for practice, but also to “know why” in terms of mathematical essence. Throughout this book, the author tends to provide detailed theoretical derivations and explanations to clarify essential reasons behind computer vision methods. Besides, this book provides plenty of original demonstration code scripts (in Matlab) that are complete, interesting, easy for practice, and of application values for engineering activities. By code demonstration, the author presents how to flexibly take advantage of geometry fundamentals of computer vision to realize various kinds of visual effects that are actually technology basis of many interesting and useful applications.

This book enables readers to acquire a fundamental knowledge of control theory on classical control, modern control, and advanced control, including representative control methods. From the pedagogic perspective, the author intends that this book helps students to develop an ability to flexibly apply control theory to solve practical engineering problems. In this sense, this book is also a professional reference for engineers dedicated to automation and system control.This book attaches importance to clarification of how control theory stems from practical applications and emphasizes the dialectic relationship between control theory and practical applications, enabling readers not only to “know how” for practice, but also to “know why” in terms of mathematical essence. Besides, this book provides plenty of original simulation code scripts (in MATLAB) that are complete, interesting, easy for practice, and of application values for engineering activities.

This open access book provides a detailed exploration of energy management in seaport integrated energy systems, highlighting their potential to replace conventional fuel-based energy usage and promote sustainable development of large ports. In order to achieve carbon neutrality, energy management technologies are crucial for the sustainable development of port systems that couple energies, logistics, and maritime transportation. Research on seaport integrated energy systems has attracted scholars and scientists from various disciplines, such as port electrification, logistics, microgrids, renewable energies, energy storages, and port automation. Taking a holistic approach, this book establishes a fundamental framework for the topic and discusses the electrification process, coupling mechanisms and modeling, optimal planning, low-carbon and economic operation, as well as applications of integrated energy systems in seaports. This book is intended for researchers, graduate students,and other readers interested in green seaport energy management and low-carbon operation technologies under the coupling between logistics and multi-energy systems.