Ke Xu – författare

In situ stress has been proven to be of great significance for hydrocarbon exploration and development, especially for deep hydrocarbon reservoirs, unconventional hydrocarbon reservoirs, and reservoirs with particularly complex geological structures, which have become a frontier topic in the world and a major topic in the petroleum industry. The clear distribution of the in-situ stress field can provide an important basis for well displacement, the design of fracturing transformation and production increase and the development plan of the oilfield.This book introduces a set of methods for predicting the comprehensive distribution of in situ stress in deep fault block reservoirs and expounds in detail the geological and geomechanical modeling methods, the main controlling factors of rock mechanical parameters and the distribution of the in-situ stress field, as well as the application of relevant research in the prediction of natural fractures in reservoirs, hydraulic fracturing prediction and engineering parameter design.This book not only summarizes the latest research results on the theoretical understanding and analysis methods of in situ stress in the world but also carries out detailed applied research in full combination with the actual situation of the oilfield. It can be used as an important text for higher education students and professionals in academia, research, and industry.

This brief guides the reader through three basic Internet resource pricing models using an Internet cost analysis. Addressing the evolution of service types, it presents several corresponding mechanisms which can ensure pricing implementation and resource allocation. The authors discuss utility optimization of network pricing methods in economics and underline two classes of pricing methods including system optimization and entities' strategic optimization. The brief closes with two examples of the newly proposed pricing strategy helping to solve the profit distribution problem brought by P2P free-riding and improve the pricing efficiency with the introduction of the price discrimination.The Internet resource pricing strategy is not only the key factor of Internet resource allocation efficiency, but also the determinant of the profit. The methods and models discussed in Internet Resource Pricing Models increase the efficiency of existing pricing strategies to ensure a sound and sustainable development of the Internet. The brief will help researchers and professionals working with this key factor of Internet resource allocation.

This book constitutes the refereed proceedings of the Third CCF Internet Conference of China, ICoC 2014, held in Shanghai, China, in July 2014. The 10 revised full papers presented were carefully reviewed and selected from 94 submissions. The papers address issues such as software defined network, network security, future Internet architecture, Internet application, network management, network protocols and models, wireless and sensor networks.

In 1961, neurobiologists found that the conduction velocity of the nerve impulse in the giant nerve fiber of the Penaeus shrimp abdominal nerve cord was over 200 m/s, the highest speed of information transmission ever observed in the animal kingdom.

In 1961, neurobiologists found that the conduction velocity of the nerve impulse in the giant nerve fiber of the Penaeus shrimp abdominal nerve cord was over 200 m/s, the highest speed of information transmission ever observed in the animal kingdom.

Traditional cloud computing and the emerging edge computing have greatly promoted the development of Internet applications.

Traditional cloud computing and the emerging edge computing have greatly promoted the development of Internet applications.

With the development of big data, data sharing has become increasingly popular and important in optimizing resource allocation and improving information utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection – an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and analysis of network security, there are few books dedicated to blockchain-based secure data sharing.Filing this gap in the literature, the book proposes a new data-sharing model based on the blockchain system, which is being increasingly used in medical and credit reporting contexts. It describes in detail various aspects of the model, including its role, transaction structure design, secure multi-party computing and homomorphic encryption services, and incentive mechanisms, and presents corresponding case studies.The book explains thesecurity architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framework, as well as the threats to security and privacy. Further, by presenting specific data sharing case studies, it offers insights into solving data security sharing problems in more practical fields. The book is intended for readers with a basic understanding of the blockchain infrastructure, consensus mechanisms, smart contracts, secure multiparty computing, homomorphic encryption and image retrieval technologies.

With the development of big data, data sharing has become increasingly popular and important in optimizing resource allocation and improving information utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection – an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and analysis of network security, there are few books dedicated to blockchain-based secure data sharing.Filing this gap in the literature, the book proposes a new data-sharing model based on the blockchain system, which is being increasingly used in medical and credit reporting contexts. It describes in detail various aspects of the model, including its role, transaction structure design, secure multi-party computing and homomorphic encryption services, and incentive mechanisms, and presents corresponding case studies.The book explains thesecurity architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framework, as well as the threats to security and privacy. Further, by presenting specific data sharing case studies, it offers insights into solving data security sharing problems in more practical fields. The book is intended for readers with a basic understanding of the blockchain infrastructure, consensus mechanisms, smart contracts, secure multiparty computing, homomorphic encryption and image retrieval technologies.

This book constitutes the refereed proceedings of the Third CCF China Blockchain Conference, CBCC 2020, held in Jinan, China, December 2020. The papers deal with research results and development activities in all aspects of blockchain science and technology.

Based on the author's many years of research, this book expands and complements the latest research results in this field. It introduces in detail the basic principle, growth technology, development status and application trend of GaN single crystal material growth. The author team adopts an open and learning attitude and discusses the future development of GaN material growth and device applications with colleagues in the field. It is hoped that the publication of this book can present the frontier development status and prospect of GaN material growth and application to personnel in related fields, hoping to make readers more thoughtful and generate positive innovation points.