Li Xun, a successful university student who had just started his career two years ago, accidentally died and transmigrated to the continent of the Sword Soul. After his rebirth, his luck here was extremely good. There were always all kinds of fortuitous encounters, such as the Illusory Sword Realm, the Sword Spirit Clan's inheritance, the trial of the demon race in the seabed, the compromise of the dragon race, the pursuit of the dark sword clan, and the hope of the descendants of the god race. All sorts of top quality beauties appeared one after another at Li Xun's side. Was it necessary to accept all of the unexpected marriages, Princess Sword Spirit's tens of thousands of years of waiting, cheap fiancées, the people who followed orders to die for him, etc., after seeing each other twice? Close]
This book presents a detailed analysis of the Chinese pivotal constructions (PVCs) and their diachronic developments from a constructionalist perspective, with the focus on the growth of the constructional hierarchies of these constructions and the changes with respect to both the form and meaning properties over time. The most important enabling factor behind the diachronic developments of the PVCs has been the sanction of the new instances conflicting with the constructions’ specifications. Throughout history the PVCs have grown along the two dimensions, i.e., inclusiveness and multileveledness, leading to a steady increase in the sizes of their constructional hierarchies. The two-dimensional expansion of the PVCs’ constructional hierarchies has been accompanied by the gradual relaxation of the conditions constraining the earliest instances, on multiple schematicity levels. This book will be valuable to scholars working on diachronic construction grammar and language change as well as to those interested in the history of Chinese language.
This book traces and analyzes the transformation of the public discourse of science and technology in Mao-era China. Based on extensive primary sources such as science dissemination materials and technical handbooks, as well as mass media products of the Great Leap Forward and the Cultural Revolution periods, this book delineates the emergence of a pragmatic approach to knowledge in society. To achieve the goal of fast modernization with limited financial, human, and material resources, the party-state accommodated Western and local, "modern" and "traditional" knowledges in the fields of agricultural mechanization, steel production and Chinese veterinary medicine. The case studies demonstrate that scientific knowledge production in the Mao-era included various social groups and was entangled with political and cultural issues. This reveals and explains the continuity of scientific thinking across the historical divides of 1949 and 1978, which has hitherto been underestimated.
Beginning first as a case study of Feng Xiaogang, this book explores Chinese film history since the early 1990s in terms of changes of the Communist Party's film policy, industry reforms, the official promotion of Main Melody films and the emergence and growth of popular cinema. The image of Feng that will emerge in this book is of a filmmaker working under political and economic pressures in a post-socialist state while still striving to create works with a personal socio-political agenda. In keeping with this reality, this book approaches Feng as a special kind of film auteur whose works must be interpreted with attention to the specific social and political context of contemporary China. The book will be a useful reference tool for students and scholars in the fields of Chinese studies, Chinese film history and film studies. It could also be used as textbook for classes about Asian cinema, international cinema and Chinese culture/film studies. The extensive use of data about the Chinese film market, and elaborate analysis of the situation of Chinese film industry make this book a valuable volume for classroom and personal use.
During the Tang dynasty, the imperial capital of Chang’an (present-day Xi’an) was unrivaled in its monumental scale, with about one million inhabitants dwelling within its walls. It was there that one of the most enduring cultural and political institutions of the empire—the civil service examinations—took shape, bringing an unprecedented influx of literati men to the city seeking recognition and official status by demonstrating their literary talent. To these examination candidates, Chang’an was a megalopolis, career launch pad, and most importantly, cultural paradigm. As a multifaceted lived space, it captured the imaginations of Tang writers, shaped their future aspirations, and left discernible traces in the writings of this period. City of Marvel and Transformation brings this cityscape to life together with the mindscape of its sojourner-writers. By analyzing narratives of experience with a distinctive metropolitan consciousness, it retrieves lost connections between senses of the self and a sense of place. Each chapter takes up one of the powerful shaping forces of Chang’an: its siren call as a destination; the unforeseen nooks and crannies of its urban space; its potential as a “media machine” to broadcast images and reputations; its demimonde—a city within a city where both literary culture and commerce took center stage. Without being limited to any single genre, specific movement, or individual author, the texts examined in this book highlight aspects of Chang’an as a shared and contested space in the collective imagination. They bring to our attention a newly emerged interval of social, existential, and geographical mobility in the lives of educated men, who as aspirants and routine capital-bound travelers learned to negotiate urban space. Both literary study and cultural history, City of Marvel and Transformation goes beyond close readings of text; it also draws productively from research in urban history, anthropology, and studies of space and place, building upon the theoretical frameworks of scholars such as Michel de Certeau, Henri Lefebvre, and Victor Turner. It is a welcome addition to the growing body of scholarship in Chinese studies on the importance of cities and city life. Students and scholars of premodern China will find new ways to understand the collective concerns of the lettered class, as well as new ways to understand literary phenomena that would eventually influence vernacular tales and the Chinese novel. By asking larger questions about how urban sojourns shape subjectivity and perceptions, this book will also attract a wide range of readers interested in studies of personhood, spatial practice, and cities as living cultural systems in flux, both ancient and modern.
Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.
Confined Fluid Phase Behavior and CO2 Sequestration in Shale Reservoirs delivers the calculation components to understand pore structure and absorption capacity involving unconventional reservoirs. Packed with experimental procedures, step-by-step instructions, and published data, the reference explains measurements for capillary pressure models, absorption behavior in double nano-pore systems, and the modeling of interfacial tension in C02/CH4/brine systems. Rounding out with conclusions and additional literature, this reference gives petroleum engineers and researchers the knowledge to maximize productivity in shale reservoirs. - Helps readers gain advanced understanding of methods of adsorption behavior in shale gas - Presents theories and calculations for measuring and computing by providing step-by-step instructions, including flash calculation for phase equilibrium - Includes advances in shale fluid behavior, along with well-structured experiments and flow charts
Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.
This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications. It focuses on the key enabling technologies to design the next generation vehicular networks with various vehicular services to realize the safe, convenient and comfortable driving. The next generation vehicular networks has emerged to provide services with a high quality of experience (QoE) to vehicles, where both better network maintainability and sustainability can be obtained than before. The framework design principles and related network architecture are also covered in this book. Then, the series of research topics are discussed including the reputation based content centric delivery, the contract based mobile edge caching, the Stackelberg game model based computation offloading, the auction game based secure computation offloading, the bargain game based security protection and the deep learning based autonomous driving. Finally, the investigation, development and future works are also introduced for designing the next generation vehicular networks. The primary audience for this book are researchers, who work in computer science and electronic engineering. Professionals working in the field of mobile networks and communications, as well as engineers and technical staff who work on the development or the standard of computer networks will also find this book useful as a reference.
This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.
This book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science and neuroscience. It collects novel research ideas on attractive region in environment (ARIE), intrinsic variable preserving manifold learning (IVPML) and biologically inspired visual congnition, which are theoretically important but challenging to develop the intelligent robot. Furthermore, the book offers new thoughts on the possible future development of human-inspired robotics, with vivid illustrations. The book is useful for researchers, R&D engineers and graduate students working on intelligent robots.
This book introduces the engineering application of the discrete element method (DEM), especially the simulation analysis of the typical equipment (scraper conveyor, coal silos, subsoiler) in the coal and agricultural machinery. In this book, the DEM is applied to build rigid and loose coupling model, and the kinematic effect of the bulk materials, the mechanical effect of the interaction between the bulk materials, and the mechanical equipment in the operation process of the relevant equipment are studied. On this basis, the optimization design strategy of the relevant structure is proposed. This book effectively promotes the application of DEM in engineering, analyzes the operation state, failure mechanism, and operation effect of related equipment in operation, and provides theoretical basis for the optimal design of equipment. The book is intended for undergraduate and graduate students who are interested in mechanical engineering, researchers investigating coal and agricultural machinery, and engineers working on designing related equipments.
Li Rui's first novel, Silver City is a gripping family saga based on his father's experience as an underground Communist, and the latter's tragic death in a cadre school.
Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms Enables readers to understand important new trends in multimodal perception for mobile robotics This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. It thoroughly evaluates filter-based secure dynamic pose estimation approaches for autonomous vehicles over multiple attack signals and shows that they outperform conventional Kalman filtered results. As a modern learning resource, it contains extensive simulative and experimental results that have been successfully implemented on various models and real platforms. To aid in reader comprehension, detailed and illustrative examples on algorithm implementation and performance evaluation are also presented. Written by four qualified authors in the field, sample topics covered in the book include: Secure state estimation that focuses on system robustness under cyber-attacks Multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors A geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, which has been validated using public and self-collected data How to achieve real-time road-constrained and heading-assisted pose estimation This book will appeal to graduate-level students and professionals in the fields of ground vehicle pose estimation and perception who are looking for modern and updated insight into key concepts related to the field of robotic mobility platforms.
This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP.
This book presents the modeling and transmission theory of RF OAM communications. The book features the UCA-based RF point-to-point OAM communication system, the UCA-based RF point-to-multipoint OAM wireless backhaul network, the HCCL structure for long-distance OAM transmissions, and the UCA-based joint OAM RadCom scheme. For the UCA-based RF point-to-point OAM communication system, a 2-D ESPRIT-based distance and AoA estimation method is first introduced, followed by an OAM reception scheme including the hybrid mechanical and electronic beam steering with the estimated AoA and the amplitude detection with the estimated distance. The proposed RF OAM communication scheme is extended to the RF OAM-MIMO system equipped with UCCAs. For the UCA-based RF point-to-multipoint OAM wireless backhaul network, an OAM-based multi-user distance and AoA estimation method is introduced, followed by a multi-user OAM preprocessing scheme. At last, the proposed methods are extended to the downlink multi-user OAM-MIMO wireless backhaul system equipped with UCCAs. Moreover, a novel HCCL structure is introduced to realize long-distance OAM transmission. For the UCA-based joint OAM RadCom scheme, an OAM-based 3-D super-resolution position estimation and rotation velocity detection method is introduced, and then the PCRB of the OAM-based estimates and the transmission rate of the integrated system are derived and analyzed. To achieve the best performance trade-off, the transmitted integrated OAM beams is optimized by means of an exhaustive search method. Finally, this book discusses future research directions to inspire further investigation in the field of RF OAM communications from different perspectives.
This thesis focuses on the seismic response of piles in liquefiable ground. It describes the design of a three-dimensional, unified plasticity model for large post-liquefaction shear deformation of sand, formulated and implemented for parallel computing. It also presents a three-dimensional, dynamic finite element analysis method for piles in liquefiable ground, developed on the basis of this model,. Employing a combination of case analysis, centrifuge shaking table experiments and numerical simulations using the proposed methods, it demonstrates the seismic response patterns of single piles in liquefiable ground. These include basic force-resistance mode, kinematic and inertial interaction coupling mechanism and major influence factors. It also discusses a beam on the nonlinear Winkler foundation (BNWF) solution and a modified neutral plane solution developed and validated using centrifuge experiments for piles in consolidating and reconsolidating ground. Lastly, it studies axial pile force and settlement during post-earthquake reconsolidation, showing pile axial force to be irrelevant in the reconsolidation process, while settlement is process dependent.
This book investigates the development of sorption enhanced reaction processes (SERPs) with detailed modelling and simulation, design and operation of units. SERPs are processes intensified by combining adsorption and reaction, reaction and membranes or reaction/adsorption/membranes in a single unit in order to overcome thermodynamic limitations of conversion in reversible reactions. The focus here is on gas phase and liquid phase processes involving different technologies, including pressure swing adsorptive reactors, membrane reactors and simulated moving bed reactors. Emphasis is also given to presenting data and practical applications of SERP products.Sorption Enhanced Reaction Processes provides undergraduate and graduate students of chemistry and chemical engineering, researchers and industrial engineers with a clear path towards process development of SERP, whatever the area of application.
In The Chinese Idea of a University: Phoenix Reborn, Rui Yang conceptualizes the cultural foundations of modern university development in Chinese societies. Instead of focusing on the uniqueness of the societies, this book aims to prove that one educational purpose could be fulfilled via many paths, and that most of the characteristics the university could be found in other institutions of higher learning. Citing the practices of four selected Chinese societies, Yang opposes the existence of an impassable chasm between Chinese and Western ideas of a university and argues that it is possible to combine Chinese and Western ideas of a university. Also, this book is one of the first in English to theorize the Chinese idea of a university. It links the historical events to the present, in a context of an enormous impact of Western academic models and institutions, from the beginning of modern universities in Chinese societies to the contemporary period. “The scholarship is of high quality, based on a thorough critical reading of relevant literature in both English and Chinese, as well as detailed empirical research carried out on the campuses of eight leading universities in the four Chinese societies under consideration.” —Ruth Hayhoe, professor, University of Toronto “Yang Rui has produced an academic masterwork. China has arrived as a global power and the East Asian university has achieved or largely achieved the long project of catch-up to the West. The future begins now and question of the ‘Chinese idea of a university’ should trigger much discussion. Professor Yang favors the development of hybrid East/West higher education in the Chinese civilizational zone, noting that to an extent, existing universities have taken this path already. He develops these challenging issues with a depth of scholarship far exceeding the current journal papers in the topic area, and a style of exposition that reads really well. A book of lasting importance. Highly recommended.” —Simon Marginson, professor, University of Oxford; joint editor-in-chief, Higher Education
The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
Globalization and internationalization are salient features of our times in significant modern and post-modern social theories. This study contributes to the literature, and delineates a comprehensive picture of China's higher education internationalization, with an analysis of its costs and benefits, set in an international comparative perspective.
This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
This volume contains the contributions of the keynote speakers to the BIOMAT 2005 symposium, as well as a collection of selected papers by pioneering researchers. It provides a comprehensive review of the mathematical modeling of cancer development, Alzheimer''s disease, malaria, and aneurysm development. Various models for the immune system and epidemiological issues are analyzed and reviewed. The book also explores protein structure prediction by optimization and combinatorial techniques (Steiner trees). The coverage includes bioinformatics issues, regulation of gene expression, evolution, development, DNA and array modeling, and small world networks. Sample Chapter(s). Chapter 1: Modelling Aspects of Vascular Cancer Development (581 KB). Contents: Biological Modeling: A Mathematical Analysis of Cylindrical Shaped Aneurysms (T A Kwembe & S N Jones); On the Origin of Metazoans (F W Cummings); Optimal Control of Distributed Systems Applied to the Problems of Ambient Pollution (S F Arantes & J E M Rivera); Epidemiology and Immunology: Modeling the in Vivo Dynamics of Viral Infections (R M Ribeiro); The Basic Reproductive Rate in the Malaria Model (A P Wyse et al.); Epidemiological Model with Fast Dispersion (M R Ricard et al.); Protein Structure: Structure Prediction of Alpha-Helical Proteins (S R McAllister & C A Floudas); Steiner Minimal Trees, Twist Angles, and the Protein Folding Problem (J M Smith); Steiner Trees as Intramolecular Networks of the Biomacromolecular Structures (R P Mondaini); Bioinformatics: Optimization of Between Group Analysis of Gene Expression Disease Class Prediction (F Baty et al.); On Biclustering with Features Selection for Microarray Data Sets (P M Pardalos et al.); Simple and Effective Classifiers to Model Biological Data (R L Salvini et al.); and other papers. Readership: Graduate students and researchers in biology, mathematics and physics.
Classification of parts of speech in Chinese is tough due to the lack of morphological differences, and thus is short of in-depth investigation and exploration. Based on the analysis and research of nearly 40,000 Chinese characters, this book elaborates on the system of Chinese parts of speech and proposes a set of criteria on their classification, contributing to relevant theoretical and methodological studies. To begin with, it examines the common characteristics and internal hierarchies of parts of speech, as well as the relationship between grammatical functions and parts of speech in modern Chinese. Then it puts forward the criteria on the classification of Chinese parts of speech, with a descriptive explanation of around 20 parts of speech. Besides, it illustrates the statistical studies on Chinese parts of speech, offering data support and corpus verification to the criteria. Also, it analyses the system of Chinese parts of speech from the perspective of typology. Specifically, it elucidates the correspondence between syntactic positions and parts of speech, functional differentiation of Chinese word items, etc. This book will be a valuable reference to researchers and students in Chinese linguistics. Learners of Chinese will also be attracted by it.
This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.
This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.
This thesis presents the first report of the comprehensive and quantitative analysis of the effects of tumor-derived mutations on the tetrameric structure of tumor suppressor protein p53, which plays a central role in maintaining genomic integrity. Inactivation of p53 via mutation of its gene is a key step in tumorigenesis. Biophysical analyses revealed that the stability of the mutant peptides varied widely. Formation of a tetrameric structure is to be critical for protein–protein interactions, DNA binding, and the post-translational modification of p53. A small destabilization of the tetrameric structure therefore could result in dysfunction of tumor suppressor activity. This work suggests that the threshold for loss of tumor suppressor activity, in terms of the disruption of p53’s tetrameric structure, could be extremely low. Furthermore, functional control of p53 via tetramer formation was demonstrated, based on the structure–function analysis of mutant p53. The results disclosed that relatively small changes in tetramer formation, induced by the stabilization or inhibition of homo-tetramerization, could control p53 function.
Polymers from natural sources are particularly useful as biomaterials and in regenerative medicine, given their similarity to the extracellular matrix and other polymers in the human body. This important book reviews the wealth of research on both tried and promising new natural-based biomedical polymers, together with their applications as implantable biomaterials, controlled-release carriers or scaffolds for tissue engineering.The first part of the book reviews the sources, processing and properties of natural-based polymers for biomedical applications. Part two describes how the surfaces of polymer-based biomaterials can be modified to improve their functionality. The third part of the book discusses the use of natural-based polymers for biodegradable scaffolds and hydrogels in tissue engineering. Building on this foundation, Part four looks at the particular use of natural-gelling polymers for encapsulation, tissue engineering and regenerative medicine. The penultimate group of chapters reviews the use of natural-based polymers as delivery systems for drugs, hormones, enzymes and growth factors. The final part of the book summarises research on the key issue of biocompatibility.Natural-based polymers for biomedical applications is a standard reference for biomedical engineers, those studying and researching in this important area, and the medical community. - Examines the sources, processing and properties of natural based polymers for biomedical applications - Explains how the surfaces of polymer based biomaterials can be modified to improve their functionality - Discusses the use of natural based polymers for hydrogels in tissue engineering, and in particular natural gelling polymers for encapsulation and regenerative medicine
In this volume, Prof. Zhang reviews the systematic theoretical studies in his group on the growth mechanisms and properties of silicon quantum dots, nanotubes and nanowires, including: mechanisms of oxide-assisted growth of silicon nanowires, energetic stability of pristine silicon nanowires and nanotubes, thermal stability of hydrogen terminated silicon nanostructures, size-dependent oxidation of hydrogen terminated silicon nanostructures, excited-state relaxation of hydrogen terminated silicon nanodots, and direct-indirect energy band transitions of silicon nanowires and sheets by surface engineering and straining. He also discusses the potential applications of these findings. This book will mainly benefit those members of the scientific and research community working in nanoscience, surface science, nanomaterials and related fields.
In this Brief, authors introduce the advance in theoretical and experimental techniques for determining the thermal conductivity in nanomaterials, and focus on review of their recent theoretical studies on the thermal properties of silicon–based nanomaterials, such as zero–dimensional silicon nanoclusters, one–dimensional silicon nanowires, and graphenelike two–dimensional silicene. The specific subject matters covered include: size effect of thermal stability and phonon thermal transport in spherical silicon nanoclusters, surface effects of phonon thermal transport in silicon nanowires, and defects effects of phonon thermal transport in silicene. The results obtained are supplemented by numerical calculations, presented as tables and figures. The potential applications of these findings in nanoelectrics and thermoelectric energy conversion are also discussed. In this regard, this Brief represents an authoritative, systematic, and detailed description of the current status of phonon thermal transport in silicon–based nanomaterials. This Brief should be a highly valuable reference for young scientists and postgraduate students active in the fields of nanoscale thermal transport and silicon-based nanomaterials.
A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. Offers up-to-date coverage of modern battery management technology and practice Provides case studies of real-world engineering applications Guides readers from electric vehicle fundamentals to advanced battery management topics Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers.
This book presents the latest algorithmic developments in the cell-mapping method for the global analysis of nonlinear dynamic systems, global solutions for multi-objective optimization problems, and global solutions for zeros of complex algebraic equations. It also discusses related engineering and scientific applications, including the nonlinear design of structures for better vibration resistance and reliability; multi-objective, structural-acoustic design for sound abatement; optimal multi-objective design of airfoils for better lift; and optimal multi-objective design of linear and nonlinear controls with or without time delay. The first book on the subject to include extensive Matlab and C++ codes, it presents various implementation algorithms of the cell-mapping method, enabling readers to understand how the method works and its programming aspects. A link to the codes on the Springer website will be provided to the readers.
This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.
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