This book describes the second phase of the Qinghai–Tibetan railway construction project and is the first technological book discussing the geological routing of the Qinghai–Tibetan railway project on the “roof of the world.” Based on practical experience of railway construction work, it provides a substantial number of examples with detailed descriptions and conclusions. The complex geological environment of the Qinghai–Tibetan railway as well as the selection and optimization of the route are illustrated vividly and clearly with quotes, figures, photos, and tables. Connecting Golmud and Lhasa, it has a total length of 1142 km and at the Tanggula Pass has an altitude of 5072m—higher than any other in the world. A 960 km section is on a plateau at altitudes above 4000 m, and 550 km are in the permafrost region, making it the world’s longest and highest railway in the permafrost plateau region. The book is a model for the integration of theory and practice, making it a valuable reference source for civil engineering professionals working in geological routing in permafrost plateau regions, active fault zones, meizoseismal areas, nature reserves, and regions with geohazards such as steep slopes, sand and snow drifts and geothermal hazards.
This book focuses on the innovative development of microfinance in China and takes Luqiao District, Taizhou as the example to sum up Chinese experiences in the local innovative development of microfinance and the application of that experience nationwide. Based on theoretical research regarding microfinance, this book analyzes the history and current situation of the development of microfinance in Luqiao District, and places emphasis on proceeding from three-pronged positioning, five characteristics and three major modes of microfinance’s innovative development in Luqiao District to explore and summarize the Luqiao story of microfinance. Subsequently, this book takes five perspectives—the innovative development of small and medium-sized banks, the innovative development of non-banking financial institutions, the roles of private capital, the policies of the local government and cooperation between the Chinese Mainland and Taiwan—to analyze the experience and paths for helping the development of small and micro enterprises. Finally, based on the conclusions of the research, this book presents some inspirations from the innovative development of microfinance in Luqiao District and future prospects. This book will interest economists, scholars of China’s economic model, and banking sector analysts.
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.
Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc. Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging. This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, and promising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.
Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves. As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. This book mainly studies consensus of CNSs with dynamics topologies - unlike most existing books that have focused on consensus control and analysis for CNSs under a fixed topology. As most practical networks have limited communication ability, switching graphs can be used to characterize real-world communication topologies, leading to a wider range of practical applications. This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.
While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resour
A detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi-agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control
This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
A detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi-agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control
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