Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today's petroleum and reservoir engineer to optimize more complex developments.

Series-parallel conversion systems, in which multiple standardized converter modules are connected in series or parallel at the input and output sides, to meet the demands of various applications. This book focuses on the control strategies for the series-parallel conversion systems with DC-DC converters and DC-AC inverters as the basic modules, respectively, to achieve input voltage/current sharing and output voltage/current sharing among the constituent modules. The detailed theoretical analysis with design examples and experimental validations are presented. This book is essential and valuable reference for graduate students and academics majoring in power electronics and engineers engaged in developing DC-DC converters, DC-AC inverters and power electronics transformers.

This book provides an excellent overview on the most recent results on the industrial applications of Mossbauer spectroscopy attained on the fields of nanotechnology, metallurgy, biotechnology and pharmaceutical industry, applied mineralogy, energy production industry (coal, oil, nuclear, solar, etc.), computer industry, space technology, electronic and magnetic devices technology, ion implantation technology, including topics like characterization of novel construction materials, electronic components and magnetic materials, composite materials, colloids, amorphous and nanophase materials, small particles, coatings, interfaces, thin films and multilayers, catalysis, corrosion, tribology, surface modification, hydrogen storage, ball milling, radiation effects, electrochemistry, batteries, etc. From the various reports a broad overview emerges illustrating that the method can successfully be applied in a wide variety of topics.
Previously published in the journal Hyperfine Interactions."

Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications."

Advanced Fiber Access Networks takes a holistic view of broadband access networks-from architecture to network technologies and network economies. The book reviews pain points and challenges that broadband service providers face (such as network construction, fiber cable efficiency, transmission challenges, network scalability, etc.) and how these challenges are tackled by new fiber access transmission technologies, protocols and architecture innovations. Chapters cover fiber-to-the-home (FTTH) applications as well as fiber backhauls in other access networks such as 5G wireless and hybrid-fiber-coax (HFC) networks. In addition, it covers the network economy, challenges in fiber network construction and deployment, and more. Finally, the book examines scaling issues and bottlenecks in an end-to-end broadband network, from Internet backbones to inside customer homes, something rarely covered in books.

"Temperature and Humidity Independent Control (THIC) of Air-conditioning System" focuses on temperature and humidity independent control (THIC) systems, which represents a new concept and new approach for indoor environmental control. This book presents the main components of the THIC systems, including dehumidification devices, high-temperature cooling devices and indoor terminal devices. Other relevant issues, such as operation and control strategy and case studies, are also included.

This book is intended for air-conditioning system designers and engineers as well as researchers working with indoor environments.

Xiaohua Liu is an associate professor at the Building Energy Research Center, Tsinghua University, China. Yi Jiang is a member of the Chinese Academy of Engineering, the director of the Building Energy Research Center, Tsinghua University, China and the director of the China-USA Joint Research Center on Clean Energy. Tao Zhang is a Ph.D. candidate at the Building Energy Research Center, Tsinghua University, China.

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.

In 2015, China and the U.S. were among the top three countries in terms of the number of international PCT (Patent Cooperation Treaty) patents filed, together making up 40% of the global share, reported the World Intellectual Property Organization (WIPO).Not surprisingly, there is a huge international desire within the business, legal and technical communities to better understand the Intellectual Property (IP) practices of these two giants in the industry. This book, a pioneer in comparing the two countries' practices side-by-side, does just that.Tao Zhang and Jingui Fang, respectively from Huawei Device USA and Huawei Technologies in China (2015's top PCT applicant according to WIPO, with 3,898 published patent applications), provide readers with first-hand guidance from invention conception to IP monetization, with a consistent emphasis on quality. Written such that readers can delve straight into any area of the IP cycle that interests them, the book also contains useful checklists that highlight best practices and key lessons learned.Whether you are an individual wanting to improve a product or process, a patent drafter needing to provide client satisfactory results, a patent asset manager desiring to create a bullet proof portfolio, or an IP business executive wishing to deliver much needed financial results to your company's bottom line, this book, with its comparative approach, is an essential read - filled with tips and information to help you create high quality patents.

Unique and comprehensive overview of the versatile applications of Mössbauer spectroscopy in chemistry and related fields Mössbauer Spectroscopy provides a comprehensive overview of applications of Mössbauer spectroscopy in different areas of chemistry, focusing on the applications that are relevant in the field and without extensively delving on the technique and its developments,. The book shows the versatility of Mössbauer spectroscopy in finding useful information on electronic structure, structural insights, and solid-state effects of chemical systems. To aid in reader comprehension and accessibility, contents are well-structured and divided in five different sections: Molecular Electronics, Energy, Life Sciences and Sustainable Development, Computation of Mössbauer Parameters and Chemistry of Nanomaterials. Edited by prominent scientists in the field and authored by a group of international experts, Mössbauer Spectroscopy covers sample topics such as: Size effect of intercalated cation on the charge transfer phase transition and ferromagnetism for iron mixed-valence systems 57Fe and 119Sn-Mössbauer probes for multifunctional cyano-bridged compounds and metal atom dynamics of Fe and Sn organometallics Relevance of Mössbauer spectroscopy to study new materials for Li-ion batteries and reforming catalysis and Mössbauer spectroscopy of catalysts Fe-N-C catalysts prepared with structure foaming agents and non-carbonaceous templates, and redox reactions in gleysols and the related role of bacteria With comprehensive coverage of the developments in the technique, Mössbauer Spectroscopy is a beneficial resource for researchers, professionals, and academics in chemistry related fields, such as material science, nanotechnology, energy, environment, life sciences, and molecular electronics.

Temperature and Humidity Independent Control (THIC) of Air-conditioning System focuses on temperature and humidity independent control (THIC) systems, which represents a new concept and new approach for indoor environmental control. This book presents the main components of the THIC systems, including dehumidification devices, high-temperature cooling devices and indoor terminal devices. Other relevant issues, such as operation and control strategy and case studies, are also included. This book is intended for air-conditioning system designers and engineers as well as researchers working with indoor environments. Xiaohua Liu is an associate professor at the Building Energy Research Center, Tsinghua University, China. Yi Jiang is a member of the Chinese Academy of Engineering, the director of the Building Energy Research Center, Tsinghua University, China and the director of the China-USA Joint Research Center on Clean Energy. Tao Zhang is a Ph.D. candidate at the Building Energy Research Center, Tsinghua University, China.

This book provides an excellent overview on the most recent results on the industrial applications of Mossbauer spectroscopy attained on the fields of nanotechnology, metallurgy, biotechnology and pharmaceutical industry, applied mineralogy, energy production industry (coal, oil, nuclear, solar, etc.), computer industry, space technology, electronic and magnetic devices technology, ion implantation technology, including topics like characterization of novel construction materials, electronic components and magnetic materials, composite materials, colloids, amorphous and nanophase materials, small particles, coatings, interfaces, thin films and multilayers, catalysis, corrosion, tribology, surface modification, hydrogen storage, ball milling, radiation effects, electrochemistry, batteries, etc. From the various reports a broad overview emerges illustrating that the method can successfully be applied in a wide variety of topics.
Previously published in the journal Hyperfine Interactions.

Establishing multi-scale optimal water allocation modes which takes the enhancement of utilization efficiency as core is a research hotspot for the international water resources management of river basins. This book aims to introduce how to compile the first set of county-level IO tables involving resources and environment accounts with integrated datasets which contains the spatio-temporal data of water and land resources, ecology and social economy in the river basin and to construct an integrated Computable General Equilibrium (CGE) model with resources and environment accounts embedded, which can be used to quantitatively depict the key process parameters of the water-ecology-social economy coupling system. Thus, this book can provide decision support for integrated river basin management, and scientific support for the sustainable development of social economy, eco-environment and water resources.

Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications."

This monograph presents the fundamentals as well as the application techniques of servo control systems, which are a key element of Mechatronics. The industrial applications and problems of Mechatronic Servo System Control are demonstrated as well as its theoretical and applicable solutions. The book is unique in its kind in converting a know-how only suitable for special situations until now into a more universal technology. This introductory monograph is aiming at students and engineers who are involved in the field of Mechatronics and Robotics.

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.