This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.
Chinese companies have been increasingly active in outbound investment in recent years, with Germany the third largest destination in Europe. Adopting an analytical approach and utilizing case studies and expert interviews, this book examines Chinese mergers and acquisitions (M&As) in Germany, with a focus on the companies' business growth, particularly the integration process and subsequent growth after acquisition.
The authors contend that Chinese investors take a different approach than their western counterparts, by fostering a long-term orientation toward their investments and placing greater emphasis on co-evolution with the acquired firms rather than transfer of knowledge back to China.
This book offers readers a behind-the-scenes story of three separate M&A cases, shedding light on the growth models that ensue from mergers and acquisitions, and the endeavors of Chinese and German managers to grow the businesses together.
This book introduces readers to the application of orbital data on space objects in the contexts of conjunction assessment and space situation analysis, including theories and methodologies. It addresses the main topics involved in space object conjunction assessment, such as: orbital error analysis of space objects; close approach analysis; the calculation, analysis and application of collision probability; and the comprehensive assessment of collision risk. In addition, selected topics on space situation analysis are also presented, including orbital anomaly and space event analysis, and so on. The book offers a valuable guide for researchers and engineers in the fields of astrodynamics, space telemetry, tracking and command (TT&C), space surveillance, space situational awareness, and space debris, as well as for graduates majoring in flight vehicle design and related fields.
In a unique and systematic way, this book discusses the security and privacy aspects of the cloud, and the relevant cloud forensics. Cloud computing is an emerging yet revolutionary technology that has been changing the way people live and work. However, with the continuous growth of cloud computing and related services, security and privacy has become a critical issue. Written by some of the top experts in the field, this book specifically discusses security and privacy of the cloud, as well as the digital forensics of cloud data, applications, and services. The first half of the book enables readers to have a comprehensive understanding and background of cloud security, which will help them through the digital investigation guidance and recommendations found in the second half of the book. Part One of Security, Privacy and Digital Forensics in the Cloud covers cloud infrastructure security; confidentiality of data; access control in cloud IaaS; cloud security and privacy management; hacking and countermeasures; risk management and disaster recovery; auditing and compliance; and security as a service (SaaS). Part Two addresses cloud forensics - model, challenges, and approaches; cyberterrorism in the cloud; digital forensic process and model in the cloud; data acquisition; digital evidence management, presentation, and court preparation; analysis of digital evidence; and forensics as a service (FaaS). Thoroughly covers both security and privacy of cloud and digital forensics Contributions by top researchers from the U.S., the European and other countries, and professionals active in the field of information and network security, digital and computer forensics, and cloud and big data Of interest to those focused upon security and implementation, and incident management Logical, well-structured, and organized to facilitate comprehension Security, Privacy and Digital Forensics in the Cloud is an ideal book for advanced undergraduate and master's-level students in information systems, information technology, computer and network forensics, as well as computer science. It can also serve as a good reference book for security professionals, digital forensics practitioners and cloud service providers.
This book examines the recent trend of extending data dependencies to adapt to rich data types in order to address variety and veracity issues in big data. Readers will be guided through the full range of rich data types where data dependencies have been successfully applied, including categorical data with equality relationships, heterogeneous data with similarity relationships, numerical data with order relationships, sequential data with timestamps, and graph data with complicated structures. The text will also discuss interesting constraints on ordering or similarity relationships contained in novel classes of data dependencies in addition to those in equality relationships, e.g., considered in functional dependencies (FDs). In addition to exploring the concepts of these data dependency notations, the book investigates the extension relationships between data dependencies, such as conditional functional dependencies (CFDs) that extend conventional functional dependencies (FDs). This forms in the book a family tree of extensions, mostly rooted in FDs, that help illuminate the expressive power of various data dependencies. Moreover, the book points to work on the discovery of dependencies from data, since data dependencies are often unlikely to be manually specified in a traditional way, given the huge volume and high variety in big data. It further outlines the applications of the extended data dependencies, in particular in data quality practice. Altogether, this book provides a comprehensive guide for readers to select proper data dependencies for their applications that have sufficient expressive power and reasonable discovery cost. Finally, the book concludes with several directions of future studies on emerging data.
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms - the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms.
This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology fordesigning efficient large-scale graph algorithms.
This book brings together articles from leading experts in the field of international dispute resolution. The main focus is on the situation in Asia, though the European perspective also plays an important part. Accordingly, the focus on the Asian dispute resolution market with a distinctly American and European "touch" is one of the book's most unique features.
The dispute resolution market is rapidly transforming, and dispute resolution law is changing with it -especially in Asia. This book highlights recent advances and outlines future trends in this area. Emphasis is especially placed on International Commercial Arbitration Law on the one hand; and on International Investment Arbitration Law on the other. Two dedicated sections address these two topics, while another is dedicated to a quite new phenomenon in the field of international dispute resolution, the emergence of International Commercial Courts not only in Asia, but also in other regions of the world (e.g. in the Netherlands). This raises a host of interesting legal questions, which the book addresses. The book's final section investigates general trends in dispute resolution (e.g. the rising cost problem in arbitration in general).
This is an open access book.
ICIDC 2024 is to bring together innovative academics and industrial experts in the field of Information Economy, Data Modeling and Cloud Computing research to a common forum. The primary goal of the conference is to promote research and developmental activities in Information Economy, Data Modeling and Cloud Computing research and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Information Economy, Data Modeling and Cloud Computing research and related areas. 2024 3rd International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC 2024) is scheduled to be held in Dalian, China from June 21-23, 2024. Big data provides rich resources for modeling in the economic field. Through data modeling, we can obtain the dynamic change trend of various indicator data, analyze the relationship between elements in the process of related economic activities, and can reveal the relationship that is difficult to show by traditional technology; Therefore, how to use big data information to model and study the development trend of economic operation plan is of great significance. This conference will continue to focus on the application of big data in the economic field, and conduct more in-depth research in combination with cloud computing.
The book discusses superconducting fault current limiters and their applications in power systems, exploring the principles, simulations and engineering practices, but focusing on systematic applications in traditional and renewable power systems. It provides in-depth studies on a number of major topics such as architecture of superconducting fault current limiter, device design, parameter optimization, prototype testing, co-ordination control and performance evaluation. It also describes multiple application cases of superconducting fault current limiters, which are applied in high voltage direct current transmission systems, active distribution networks, and micro-grids. Offering a comprehensive and systematic overview of practical issues, the book is intended for readers wanting to learn practical approaches for developing superconducting fault current limiters. It also appeals to researchers, engineers and graduate students in various fields, including high-temperature superconducting materials, power system transient stability, and control science and engineering.
This book aims to collect research findings and provide insightful recommendations on various aspects of female epilepsy patients of childbearing age. This book discusses multidisciplinary effort of brain science, reproductive medicine, endocrinology, drug metabolism, genetics, maternal and infant medicine, etc.
This book is written by a multidisciplinary team of researchers who had a passion for improving the quality of life of women with epilepsy, to demonstrate the latest scientific discoveries and precise management strategies for women with epilepsy in child-bearing age.
This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.
This book presents on the latest research findings, and innovative research methods and development techniques related to the emerging areas of broadband and wireless computing from both theoretical and practical perspectives.Information networking is evolving rapidly with various kinds of networks with different characteristics emerging and being integrated into heterogeneous networks. As a result, a number of interconnection problems can occur at different levels of the communicating entities and communication networks' hardware and software design. These networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the network resources. The success of all-IP networking and wireless technology has changed the way of life for people around the world, and the advances in electronic integration and wireless communications will pave the way for access to the wireless networks on the fly. This in turn means that all electronic devices will be able to exchange the information with each other in a ubiquitous way whenever necessary.
This SpringerBrief explains how to leverage mobile users' social relationships to improve the interactions of mobile devices in mobile networks. It develops a social group utility maximization (SGUM) framework that captures diverse social ties of mobile users and diverse physical coupling of mobile devices. Key topics include random access control, power control, spectrum access, and location privacy.
This brief also investigates SGUM-based power control game and random access control game, for which it establishes the socially-aware Nash equilibrium (SNE). It then examines the critical SGUM-based spectrum access game, and pseudonym change game for personalized location privacy. The authors propose future work on extending the SGUM framework to negative social ties, to demonstrate relevance to security applications and span the continuum between zero-sum game (ZSG) and non-cooperative game (NCG).
Social Group Utility Maximization targets researchers and professionals working on mobile networks and social networks. Advanced-level students in electrical engineering and computer science will also find this material useful for their related courses.
The titanium industry is developing at a fantastic speed in China, which is promoted by the increasing demand for high-quality titanium resources. Thus, our research group led by Prof. Guo CHEN in Yunnan Minzu University is devoted to developing microwave heating applications in the production chain of titanium, and the corresponding results are summarized in this book.
This book is divided into six chapters which initially look at the response and amenability of titanium-based elements to
microwave power. Upon establishing its potential usefulness in titanium processing, the book assesses and introduces the various effects of microwave for different titanium related processes, including preweakening, drying, carbothermic reduction, leaching and roasting. A wide variety of analysis tools to determine the effects of microwave on these processes were utilized to support and explain the results. These include DSC, Raman, FTIR, SEM, EDAX. Finally, life cycle analysis was used to evaluate and to optimize microwave heating devices to provide information for further development of this process in the titanium industry. We hope this compilation can provide researchers and professionals working in the general minerals processing field the benefits of the microwave technique.
Structural Analysis is a basic course for undergraduate students with majors of civil engineering, engineering mechanics, flight vehicle design, mechanical engineering, naval architecture and ocean engineering etc., and is also an introductory course for undergraduates to learn and master the analysis and design of beam, truss, frame, arch and composite structures for buildings, bridges and flight vehicles and so on.
This textbook includes eight chapters, and covers introduction, kinematic analysis of plane member systems, analysis of statically determinate structures,
principle of virtual work and deflection calculation, force method, displacement method, influence lines of structures under moving loads, and matrix displacement method.
Main features of this textbook lie in: (1) strengthened the interestingness and readability, and increased brief introduction on the developmental history of structural analysis and the important figures; (2) adopted the kinematic method to construct exactly and rapidly the influence lines of forces of statically indeterminate structures proposed by the author, and highlighted the energy principles and methods; (3) increased introducing the backgrounds of engineering applications; (4) from the viewpoints of history, methodology, aesthetic appreciation and creative thinking, inspected structural analysis and strived to cultivate the innovative talents. The present book emphasizes fundamental theories, concepts, computational methods and engineering applications of structural analysis. It can be used as a textbook for undergraduates with majors of civil engineering, engineering mechanics, flight vehicle design, mechanical engineering, and ocean engineering etc., while being a helpful reference for engineers and professionals in the relevant fields.
The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting people's lives and property. In actual engineering scenarios, machine users always hope to use an automatic method to shorten the maintenance cycle and improve the accuracy of fault diagnosis and prognosis. In the past decade, Artificial Intelligence applications have flourished in many different fields, which also provide powerful tools for intelligent diagnosis and maintenance.
This book highlights the latest advances and trends in new generation artificial intelligence-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex network, graph neural network and multi-source information fusion, for diagnosis and maintenance of rotating machinery. Its primary focus is on the utilization of advanced artificial intelligence techniques to monitor, diagnose, and perform predictive maintenance of critical structures and machines, such as aero-engine, gas turbines, wind turbines, and machine tools.
The main markets of this book include academic and industrial fields, such as academic institutions, libraries of university, industrial research center. This book is essential reading for faculty members of university, graduate students, and industry professionals in the fields of diagnosis and maintenance.
This book focuses on design technologies and practical engineering applications in connection with cruise ports and terminals. After a brief introduction to cruise ships and global cruise ports, it addresses the location, structure and layout of cruise terminals, the technologies involved, cruise terminal buildings and supporting facilities. The book also explores practical engineering cases, including projects that the authors have worked on, such as the Shenzhen Prince Bay and Shanghai Wusongkou International Cruise Terminal projects. Systematically discussing the design and engineering aspects of domestic and international cruise terminals, the book offers a practical reference guide for engineers, researchers, practitioners and policymakers in relevant fields.
This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian modeling and inference lead to tuning-free tensor decomposition algorithms, which achieve state-of-the-art performances in many applications, including
blind source separation;social network mining;image and video processing;array signal processing; and,wireless communications.
The book begins with an introduction to the general topics of tensors and Bayesian theories. It then discusses probabilistic models of various structured tensor decompositions and their inference algorithms, with applications tailored for each tensor decomposition presented in the corresponding chapters. The book concludes by looking to the future, and areas where this research can be further developed.
Bayesian Tensor Decomposition for Signal Processing and Machine Learning is suitable for postgraduates and researchers with interests in tensor data analytics and Bayesian methods.
