This book provides a detailed review of the accumulated experience and lessons from China's agricultural reform and opening-up since the late 1970s, examining various aspects of this transition and providing a new perspective that can contribute to developing economic theories. The success of China's reform and opening up creates benefits for farmers, and is driven by farmers. The past experience, problems revealed and lessons learned from failures of market-orientated and progressive reform can provide valuable guidance for those developing countries still lagging behind China.

Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechanism of deep fusion models from the perspective of uncertainty and models the initial risks in order to create a robust fusion architecture. This book reviews the multi-sensor data fusion methods applied in autonomous driving, and the main body is divided into three parts: Basic, Method, and Advance. Starting from the mechanism of data fusion, it comprehensively reviews the development of automatic perception technology and data fusion technology, and gives a comprehensive overview of various perception tasks based on multimodal data fusion. The book then proposes a series of innovative algorithms for various autonomous driving perception tasks, to effectively improve the accuracy and robustness of autonomous driving-related tasks, and provide ideas for solving the challenges in multi-sensor fusion methods. Furthermore, to transition from technical research to intelligent connected collaboration applications, it proposes a series of exploratory contents such as practical fusion datasets, vehicle-road collaboration, and fusion mechanisms. In contrast to the existing literature on data fusion and autonomous driving, this book focuses more on the deep fusion method for perception-related tasks, emphasizes the theoretical explanation of the fusion method, and fully considers the relevant scenarios in engineering practice. Helping readers acquire an in-depth understanding of fusion methods and theories in autonomous driving, it can be used as a textbook for graduate students and scholars in related fields or as a reference guide for engineers who wish to apply deep fusion methods.

This is an English translation of a Chinese textbook that has been designated a national planned university textbook, the highest award given to scientific textbooks in China. The book provides a complete overview of mechanical properties and fracture mechanics in materials science, mechanics, and physics. It details the macro- and micro-mechanical properties of metal structural materials, nonmetal structural materials, and various functional materials. It also discusses the macro and micro failure mechanism under different loadings and contains research results on thin film mechanics, smart material mechanics, and more.

This is an English translation of a Chinese textbook that has been designated a national planned university textbook, the highest award given to scientific textbooks in China. The book provides a complete overview of mechanical properties and fracture mechanics in materials science, mechanics, and physics. It details the macro- and micro-mechanical properties of metal structural materials, nonmetal structural materials, and various functional materials. It also discusses the macro and micro failure mechanism under different loadings and contains research results on thin film mechanics, smart material mechanics, and more.

The objective of this SpringerBrief is to present security architectures and incentive mechanisms to realize system availability for D2D communications. D2D communications enable devices to communicate directly, improving resource utilization, enhancing user's throughput, extending battery lifetime, etc. However, due to the open nature of D2D communications, there are two substantial technical challenges when applied to large-scale applications, that is, security and availability which is demonstrated in this book. This SpringerBrief proposes a secure data sharing protocol, which merges the advantages of public key cryptography and symmetric encryption, to achieve data security in D2D communications. Furthermore, a joint framework involving both the physical and application layer security technologies is proposed for multimedia service over D2D communications thus the scalable security service can be achieved without changing the current communication framework. Additionally, as the system availability largely depends on the cooperation degree of the users, a graph-theory based cooperative content dissemination scheme is proposed to achieve maximal Quality of Experience (QoE) with fairness and efficiency. This SpringerBrief will be a valuable resource for advanced-level students and researchers who want to learn more about cellular networks.

This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020. The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: AIBlock 2020: Second International Workshop on Application Intelligence and Blockchain Security AIHWS 2020: First International Workshop on Artificial Intelligence in Hardware Security AIoTS 2020: Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security Cloud S&P 2020: Second International Workshop on Cloud Security and Privacy SCI 2020: First International Workshop on Secure Cryptographic Implementation SecMT 2020: First International Workshop on Security in Mobile Technologies SiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications

This book constitutes the proceedings of the satellite workshops held around the 17th International Conference on Applied Cryptography and Network Security, ACNS 2019, in Bogota, Colombia, in June 2019. The 10 papers presented in this volume were carefully reviewed and selected from 30 submissions. They stem from the following workshops: AIBlock 2019: First International Workshop on Application Intelligence and Blockchain SecurityAIoTS 2019:First International Workshop on Articial Intelligence and Industrial Internet-of-Things SecurityCloud S&P 2019:First International Workshop on Cloud Security and PrivacyPriDA 2019:First InternationalWorkshop on Privacy-preserving Distributed Data AnalysisSiMLA 2019: First International Workshop on Security in Machine Learning and its Applications

This book systematically reviews the experiences and problems encountered in the development of China's rural areas over the past three decades since the start of the country's economic reform. As such, it addresses the most important aspects in terms of China's rural communities, farmers and agriculture from the perspective of development, such as the agricultural management system, rural land tenure system, rural fiscal and taxation system, financial system, science and technology system, rural governance structure, poverty alleviation, environmental protection, etc. The approach employed combines essential theories, laws, and policy strategies with rural development practice in order to analyze the success stories and lingering problems, to explore the causes of both, and to offer an outlook on the future of rural development.

This book provides a detailed review of the accumulated experience and lessons from China's agricultural reform and opening-up since the late 1970s, examining various aspects of this transition and providing a new perspective that can contribute to developing economic theories. The success of China's reform and opening up creates benefits for farmers, and is driven by farmers. The past experience, problems revealed and lessons learned from failures of market-orientated and progressive reform can provide valuable guidance for those developing countries still lagging behind China.

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging.