Zhenhua Wang – författare

The field of translation studies has grown rapidly over recent decades, with critical questions being investigated across the globe. Drawing together this scattered research, Systemic Functional Linguistics and Translation Studies consolidates important propositions by drawing on systemic functional linguistics (SFL).Using the SFL dimensions of stratification, rank, axis and delicacy to show how languages are more similar or more different, this book provides a state-of-the-art critical assessment of the interaction between SFL and translation studies. Highlighting the major contribution SFL can make in developing translation theories, a team of world-leading experts investigate how intricate and wide-ranging translation questions, such as re-instantiation and multimodality, can be most efficiently explored through a detailed meaning- and function-oriented linguistic theory. Examining the theoretical concepts and practical applications of SFL in the translation of a range of languages, including Arabic, Chinese and Brazilian Portuguese, Systemic Functional Linguistics and Translation Studies provides a stimulus for new work spanning the two fields and suggests new directions for future research.

The field of translation studies has grown rapidly over recent decades, with critical questions being investigated across the globe. Drawing together this scattered research, Systemic Functional Linguistics and Translation Studies consolidates important propositions by drawing on systemic functional linguistics (SFL).Using the SFL dimensions of stratification, rank, axis and delicacy to show how languages are more similar or more different, this book provides a state-of-the-art critical assessment of the interaction between SFL and translation studies. Highlighting the major contribution SFL can make in developing translation theories, a team of world-leading experts investigate how intricate and wide-ranging translation questions, such as re-instantiation and multimodality, can be most efficiently explored through a detailed meaning- and function-oriented linguistic theory. Examining the theoretical concepts and practical applications of SFL in the translation of a range of languages, including Arabic, Chinese and Brazilian Portuguese, Systemic Functional Linguistics and Translation Studies provides a stimulus for new work spanning the two fields and suggests new directions for future research.

This edited book presents recent advances in state estimation, robust control synthesis, system identification, fault detection, localization, and optimization, with a particular emphasis on interval-based methods and set-membership techniques. Covering both theoretical developments and practical applications, the book brings together contributions from recognized experts in these research areas.Topics include set-based state estimation in varied dynamical system settings, sliding-mode predictive and state-feedback control, innovative optimization algorithms, zonotopic fault detection and identification, as well as distributed moving horizon estimation. The proposed methods are illustrated through practical simulation studies in robotics, autonomous vehicles, fuel cell systems, and sensor networks.Intended for researchers, engineers, and graduate students in control systems, applied mathematics, and various engineering disciplines, this book offers both a rigorous foundation and cutting-edge approaches for addressing uncertainty in complex dynamical systems.

This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book.

This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach.