A Biography of Sun Yat-Sen, a record of the renowned historical personage in China, co-authored by Zhang Lei and Zhang Ping and published in 2011 by the People’s Publishing House, was listed as one of the key publications for the celebration of the 100th Anniversary of Sun Yat-sen. It has been highly regarded in the major media of the country. The book is composed of two parts, the first of which consists of five chapters that narrate his experience of overseas studies and his leadership in the establishment of the Revive China Society and the Chinese Revolutionary League, the struggle against the Qing Dynasty and Yuan Shikai, the building and protection of the Republican system. The second part of the book provides a detailed description and interpretation of the development of the democratic and revolutionary system of ideology represented by the Three Principles of the People and the Three Great Policies, and of the significance of his theories for the Chinese revolution. Different from other biographies, A Biography of Sun Yat-sen does not dwell on telling the long story about his family or daily life, but is focused on his spirit, i.e. his patriotism and enthusiasm for reform and revolution, and based on it, recounts the development and elevation of this spirit, which is revealed by the whole process of his first advocating the reform of the Qing Government to proposing the (New) Three Principles of the People. The book is an important reference for further study and understanding of Sun Yat-sen and his ideas and revolutionary cause.

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition. - Provides a comprehensive introduction to the development of deep learning-based robust speech processing - Covers speech detection, speech enhancement, dereverberation, multi-speaker speech separation, robust speaker verification, and robust speech recognition - Focuses on a historical overview and then covers methods that demonstrate outstanding performance in practical applications

This volume reviews issues that address the interconnection between digital economy, sustainability and international economic law. It covers a range of topics, including renewables subsidies, AI and corporate governance, digital currency, dispute resolution and new developments in trade law. The selection of chapters intends to illustrate how the digital economic, sustainable development goals and arrangements could influence and potentially shape international economic law, and how they are intertwined in an increasingly connected world. However, as the concepts of digital economy and sustainable development integrate unevenly into different fields of law, the selection focuses on some of the most visible influences in corporate and international trade law in Asia. The chapters in this volume are written by eminent authorities who are devoted to the emerging multidisciplinary fields of international economic law. Contributions include structured sections with a concluding summary and reference list for the benefit of a broad range of readers. This is a timely reference for legal scholars, practitioners and law students seeking updated and critical information from the perspective of an increasingly digital, and sustainability-focused global trade economy.

Connie Kelly Tang and Lei Zhang have provided a holistic coverage of the entire surface transportation project and program development process from the beginning of planning though environmental approval, design, right-of way acquisition, construction to operations and maintenance.— Neil Pedersen, Executive Director, Transportation Research Board, National Academies of Sciences, Engineering, and Medicine, Washington, DC Transportation program and project development is complex. The process spans over planning, programming, environment, design, right of way, construction, operations, and maintenance. Professionals from civil engineering, planning, social and environmental sciences, business and project management, and data science, work together in a relay team to transform an idea into a highway, a transit hub, an airport or a water facility. It is challenging for any one person to master all the knowledge and skills needed to perform every relevant task. However, it is critical for all involved to understand how this relay works and how the societal, environmental, governmental, and regulatory contexts influence the process and the technical solution. Professionals who understand the process and see the big picture are those who rise to the top as leaders. Transportation Project and Program Development provides holistic coverage on the technical subject matter, processes and procedures, and policy and guidance associated with transportation project and program development, which can help professionals become program leaders. For each phase of the process, key products delivered, processes used, governing principles, foundations of applicable science and engineering, technologies deployed, and knowledge required are discussed. While all coverages reflect the practices of the United States, the logic, principles, science, and engineering are applicable to all countries of the world. The book can also serve as an introductory textbook for undergraduate students and as a textbook or reference for a graduate-level course in civil engineering, transportation engineering, planning, and project management.

Metamaterial Design and Additive Manufacturing covers optimization design, manufacturing, microstructure, mechanical properties, acoustic properties, mass-transport properties and application examples of PMs fabricated by selective laser melting additive manufacturing technology. The book introduces the definition and concept of pentamode metamaterials and then describes their characterization, including manufacturing fidelity, mechanical response, acoustic properties and so on. Final sections analyze research situations, problems and applications of additive manufacturing pentamode metamaterials. - Covers design and optimization methods of pentamode metamaterials - Describes manufacturing fidelity, microstructure and physical properties of pentamode metamaterials fabricated by AM - Includes recent applications for pentamode metamaterials, along with research situations and potential problems

Water Lords presents the untold story of drinking water and its carriers in Beijing from the imperial Qing to the Republican period. It adds an ecological perspective to existing studies by foregrounding water as a distinctive force that shaped urban life in the realms of technology, society, and politics. With this book, Lei Zhang makes a new and meaningful contribution to the field of Chinese environmental history by attending to water as a daily necessity and examining the previously neglected arrangements that provided urban denizens with predictable access to this critical resource.

This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

Cloud Data Center Network Architectures and Technologies has been written with the support of Huawei's vast technical knowledge and experience in the data center network (DCN) field, as well as its understanding of customer service requirements. This book describes in detail the architecture design, technical implementation, planning and design, and deployment suggestions for cloud DCNs based on the service challenges DCNs encounter. It starts by describing the overall architecture and technical evolution of DCNs, with the aim of helping readers understand the development of DCNs. It then proceeds to explain the design and implementation of cloud DCNs, including the service model of a single data center (DC), construction of physical and logical networks of DCs, construction of multiple DCNs, and security solutions of DCs. Next, this book dives deep into practices of cloud DCN deployment based on real-world cases to help readers better understand how to build cloud DCNs. Finally, this book introduces DCN openness and some of the hottest forward-looking technologies. In summary, you can use this book as a reference to help you to build secure, reliable, efficient, and open cloud DCNs. It is intended for technical professionals of enterprises, research institutes, information departments, and DCs, as well as teachers and students of computer network-related majors in colleges and universities. Authors Lei Zhang Mr. Zhang is the Chief Architect of Huawei's DCN solution. He has more than 20 years' experience in network product and solution design, as well as a wealth of expertise in product design and development, network planning and design, and network engineering project implementation. He has led the design and deployment of more than 10 large-scale DCNs for Fortune Global 500 companies worldwide. Le Chen Mr. Chen is a Huawei DCN Solution Documentation Engineer with eight years' experience in developing documents related to DCN products and solutions. He has participated in the design and delivery of multiple large-scale enterprise DCNs. Mr. Chen has written many popular technical document series, such as DCN Handbook and BGP Topic.

Motivation: Throughout the life cycle, the environmental impact and manufacturing costs of a part are largely determined at the design stage. Therefore, a part design optimization method considering these two factors is proposed in this paper. At the same time, the comprehensive benefit is taken as the trade-off of these two factors. The reduction of the comprehensive benefit indicates that the optimized part has achieved better environmental and economic performance results. Methods: Firstly, the model is reconstructed using the dimension-driven method, and the feature information of the new part is extracted. Then, machining process planning is carried out based on the feature information. Secondly, a design optimization model for the comprehensive benefit is established based on the genetic algorithm. The model takes the dimension parameters of the part as the optimization variables and the reduction of the comprehensive benefit as the optimization objective. With the help of the Simulation plug-in for SolidWorks, the static analysis of the optimized model is conducted to determine whether it meets the performance requirements. Finally, the design optimization prototype system oriented to comprehensive benefit is established. The feasibility and effectiveness of the proposed method are verified by taking the intermediate shaft of the belt conveyor reducer-sixth order step shaft as an example. Results: The case study shows that the optimization result of comprehensive benefit is 1.63%, which verifies the feasibility and effectiveness of the part design optimization method proposed in this paper.

This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don’t work because of the limitation of hardware resources. Third, readers will learn how to make schemes and solutions when the acquired data from their systems is not stable due to the fundamental issues affecting perceptron devices (e.g. sensors). In brief, the book presents and discusses the key technologies and new algorithmic challenges in electronic noses and artificial olfaction. The goal is to promote the industrial application of electronic nose technology in environmental detection, medical diagnosis, food quality control, explosive detection, etc. and to highlight the scientific advances in artificial olfaction and artificial intelligence. The book offers a good reference guide for newcomers to the topic of electronic noses, because it refers to the basic principles and algorithms. At the same time, it clearly presents the key challenges – such as long-term drift, signal uniqueness, and disturbance – and effective and efficient solutions, making it equally valuable for researchers engaged in the science and engineering of sensors, instruments, chemometrics, etc.