This book presents in-depth coverage of laboratory experiments, theories, modeling techniques, and practices for the analysis and design of rock slopes in complex geological settings. It addresses new concepts in connection with the kinematical element method, discontinuity kinematical element method, integrated karst cave stochastic model-limit equilibrium method, improved strength reduction method, and fracture mechanics method, taking into account the relevant geological features. The book is chiefly intended as a reference guide for geotechnical engineering and engineering geology professionals, and as a textbook for related graduate courses.
Woo ... Clang clang clang clang ... The train entered Jinhai Station with a roar. As soon as it stopped, the passengers in the train rushed out, rushing towards the exit. People were shouting, rubbing their shoulders, smoking for a long time, and they purposely stopped to light a cigarette.
A Divine level expert in the Hidden Dragon City, on the first day he went to work at the Ice Mountain Fiancée Company, he had actually been arranged to clean the toilet! Just do it, but why is it a ladies' room?
He was a prince, but he had fallen for medicine. She didn't know why he chose to learn medicine, but in the end, this prince had become a genius doctor who had saved her time and time again from death.He had only protected her for four years, and she owed him a lifetime of happiness ....
Annotation The three volume set LNCS 3610, LNCS 3611, and LNCS 3612 constitutes the refereed proceedings of the First International Conference on Natural Computation, ICNC 2005, held in Changsha, China, in August 2005 as a joint event in federation with the Second International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2005 (LNAI volumes 3613 and 3614). The program committee selected 313 carefully revised full papers and 189 short papers for presentation in three volumes from 1887 submissions. The first volume includes all the contributions related to learning algorithms and architectures in neural networks, neurodynamics, statistical neural network models and support vector machines, and other topics in neural network models; cognitive science, neuroscience informatics, bioinformatics, and bio-medical engineering, and neural network applications as communications and computer networks, expert system and informatics, and financial engineering. The second volume concentrates on neural network applications such as pattern recognition and diagnostics, robotics and intelligent control, signal processing and multi-media, and other neural network applications; evolutionary learning, artificial immune systems, evolutionary theory, membrane, molecular, DNA computing, and ant colony systems. The third volume deals with evolutionary methodology, quantum computing, swarm intelligence and intelligent agents; natural computation applications as bioinformatics and bio-medical engineering, robotics and intelligent control, and other applications of natural computation; hardware implementations of natural computation, and fuzzy neural systems as well as soft computing.
Honghu Zhi, Kun Peng raised up, one person in ten steps, one person in a thousand miles, returning to the invincible Battle-Saint from the Great Desolation, resuming his legends of ancient times.
A few hundred years ago, there was a group of humans who were known as' Force Awakened ones'. They have the unimaginable power of ordinary humans and the ability to rule the world. However ... Awakened ones are not united and in the end, they are separated into two factions. The group was called the Yang Awakened ones, also known as the Sky Sun Clan. The other faction was the Yin Awakened ones, also known as the Earth Yin Tribe. A hundred years ago, the Sky Sun and Earth Yin Tribes finally had an unprecedented, decisive battle. In the end, the Sky Sun Clan won, and the Earth Yin Tribe was completely wiped out. The world was eventually ruled by the Heavenly Sun tribe, who began to call themselves the Heavenly God race. After the war between Yin and Yang, the Earth Yin Tribe was demoted to the "Earth Devil Race" by the God of Heaven. Although the Earth demons had been killed and wounded in the great battle, the clan's most precious treasure, the "Earth Yin Saint (Demon) Codex", had been left behind and had set off a wave of bloodshed.
This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Your indifference and alienation have all been left to me, my passion and love have all been given to you!" It's hard to meet a Jinbei River in your life
From the beginning of human birth, after millions of years of development, mankind finally strutted into the universe. In order to steal resources and continue civilization, he had no choice but to compete with the other races and delve into the mysteries of the universe! Furthermore, an unprecedented honorary system was established to stimulate everyone's greatest dedication to society. The honorary point was the only standard to judge a citizen's status! The protagonist's rise to fame in the city, due to the unexpected change in the fate of life, in the gap between the rise, gradually towards the peak of honor. What kind of changes would his appearance bring to this universe where fish and dragons were mixed together? In the vast universe, what kind of powerful race existed, and what kind of shocking secret did it contain? All the wonderful things are in this book.
This book investigates observer-fault estimation techniques in detail, while also highlighting recent research and findings regarding fault estimation. Many practical control systems are subject to possible malfunctions, which may cause significant performance loss or even system instability. To improve the reliability, performance and safety of dynamical systems, fault diagnosis techniques are now receiving considerable attention, both in research and applications, and have been the subject of intensive investigations. Fault detection – the essential first step in fault diagnosis – is a binary decision-making process used to determine whether or not a fault has occurred. In turn, fault isolation is used to identify the location of the faulty component, while fault estimation is used to identify the size of the fault online. Compared with the problems involved in fault detection and isolation, fault estimation is considerably more challenging.
Abelian varieties can be classified via their moduli. In positive characteristic the structure of the p-torsion-structure is an additional, useful tool. For that structure supersingular abelian varieties can be considered the most special ones. They provide a starting point for the fine description of various structures. For low dimensions the moduli of supersingular abelian varieties is by now well understood. In this book we provide a description of the supersingular locus in all dimensions, in particular we compute the dimension of it: it turns out to be equal to Äg.g/4Ü, and we express the number of components as a class number, thus completing a long historical line where special cases were studied and general results were conjectured (Deuring, Hasse, Igusa, Oda-Oort, Katsura-Oort).
The following year Qin unified all under Heaven and the title of August Emperor was immediately adopted.' The short-lived Qin dynasty unified China in 221 BC and created an imperial legacy that lasted until 1911. The extraordinary story of the First Emperor, founder of the dynasty, is told in the Historical Records of Sima Qian, the Grand Historiographer and the most famous Chinese historian. He describes the Emperor's birth and the assassination attempt on his life, as well as the political and often brutal events that led to the founding of the dynasty and its aftermath. Sima Qian recounts the building of the Great Wall, the 'burning of the books', and the construction of the First Emperor's magnificent tomb, a tomb now world famous since the discovery of the terracotta warriors in 1974. Sima Qian's love of anecdote ensures that his history is never dull, and Raymond Dawson's fluent translation captures his lively and vivid style. Chronicling recent archaeological developments and questioning Sima Qian's biases, K. E. Brashier's preface highlights the importance of the Grand Historiographer's account and Dawson's translation in the twenty-first century. ABOUT THE SERIES: For over 100 years Oxford World's Classics has made available the widest range of literature from around the globe. Each affordable volume reflects Oxford's commitment to scholarship, providing the most accurate text plus a wealth of other valuable features, including expert introductions by leading authorities, helpful notes to clarify the text, up-to-date bibliographies for further study, and much more.
With the development of big data, data sharing has become increasingly popular and important in optimizing resource allocation and improving information utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection – an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and analysis of network security, there are few books dedicated to blockchain-based secure data sharing. Filing this gap in the literature, the book proposes a new data-sharing model based on the blockchain system, which is being increasingly used in medical and credit reporting contexts. It describes in detail various aspects of the model, including its role, transaction structure design, secure multi-party computing and homomorphic encryption services, and incentive mechanisms, and presents corresponding case studies. The book explains the security architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framework, as well as the threats to security and privacy. Further, by presenting specific data sharing case studies, it offers insights into solving data security sharing problems in more practical fields. The book is intended for readers with a basic understanding of the blockchain infrastructure, consensus mechanisms, smart contracts, secure multiparty computing, homomorphic encryption and image retrieval technologies.
This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.
This practically-oriented, all-inclusive guide covers all the major enabling techniques for current and next-generation cellular communications and wireless networking systems. Technologies covered include CDMA, OFDM, UWB, turbo and LDPC coding, smart antennas, wireless ad hoc and sensor networks, MIMO, and cognitive radios, providing readers with everything they need to master wireless systems design in a single volume. Uniquely, a detailed introduction to the properties, design, and selection of RF subsystems and antennas is provided, giving readers a clear overview of the whole wireless system. It is also the first textbook to include a complete introduction to speech coders and video coders used in wireless systems. Richly illustrated with over 400 figures, and with a unique emphasis on practical and state-of-the-art techniques in system design, rather than on the mathematical foundations, this book is ideal for graduate students and researchers in wireless communications, as well as for wireless and telecom engineers.
In early imperial China, the dead were remembered by stereotyping them, by relating them to the existing public memory and not by vaunting what made each person individually distinct and extraordinary in his or her lifetime. Their posthumous names were chosen from a limited predetermined pool; their descriptors were derived from set phrases in the classical tradition; and their identities were explicitly categorized as being like this cultural hero or that sage official in antiquity. In other words, postmortem remembrance was a process of pouring new ancestors into prefabricated molds or stamping them with rigid cookie cutters. Public Memory in Early China is an examination of this pouring and stamping process. After surveying ways in which learning in the early imperial period relied upon memorization and recitation, K. E. Brashier treats three definitive parameters of identity—name, age, and kinship—as ways of negotiating a person’s relative position within the collective consciousness. He then examines both the tangible and intangible media responsible for keeping that defined identity welded into the infrastructure of Han public memory.
This book is based on the teaching experience of the authors, and therefore some of the topics are presented in a new form. For instance, the multi-valued properties of the argument function are discussed in detail so that the beginner may readily grasp the elementary multi-valued analytic functions. The residue theorem is extended to the case where poles of analytic functions considered may occur on the boundary of a region ? which is very useful in applications but not seen in textbooks written in English.
Polymer-Layered Silicate and Silica Nanocomposites includes advanced materials and nanocomposites based on silica and layered silicates obtained from resources in China. Using nanotechnology, these inorganic materials can be filled, in-situ polymerised and combined with polymers with nanoscale dispersions. In this book, many practical examples are presented to show how to prepare the nanocomposites. Several kinds of polymer (PET,PBT,PE,PP,etc.)-layered silicate and silica nanocomposites are prepared and investigated based on our research works, inventions and applications. They are prepared and modified aiming at their applications to such fields as, functional films, barrier materials, coatings, and engineering plastics. Their structure-property relationship, especially the nano effects from them are investigated under different techniques to show how the critical load of the inorganic phase has the effect on the final properties of the nanocomposite materials. Obviously, this new generation of materials has revolutionary effects on the traditional materials or industry as petroleum. Some of the prospects of them are thus included. - Focus on the inorganic phase, which is of wide practical and industrial significance - Dealing with many first report of the nanoeffect, nanostructure and its functional properties - Especially, it covers the particle assembly and self-assemble by interaction with polymer matrix
This book deals with boundary value problems for analytic functions with applications to singular integral equations. New and simpler proofs of certain classical results such as the Plemelj formula, the Privalov theorem and the Poincaré-Bertrand formula are given. Nearly one third of this book contains the author's original works, most of which have not been published in English before and, hence, were previously unknown to most readers in the world.It consists of 7 chapters together with an appendix: Chapter I describes the basic knowledge on Cauchy-type integrals and Cauchy principal value integrals; Chapters II and III study, respectively, fundamental boundary value problems and their applications to singular integral equations for closed contours; Chapters IV and V discuss the same problems for curves with nodes (including open arcs); Chaper VI deals with similar problems for systems of functions; Chapter VII is concerned with some miscellaneous problems and the Appendix contains some basic results on Fredholm integral equations. In most sections, there are carefully selected sets of exercises, some of which supplement the text of the sections; answers/hints are also given for some of these exercises.For graduate students or seniors, all the 7 chapters can be used for a full year course, while the first 3 chapters may be used for a one-semester course.
This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters tracking. Besides, real-time Bayesian model class selection is introduced to tackle model misspecification problem. On the other hand, a distributed Bayesian identification framework is presented to handle asynchronous data and multiple outlier corrupted data. This book provides sufficient background to follow Bayesian methods for solving real-time system identification problems in civil and other engineering disciplines. The illustrative examples allow the readers to quickly understand the algorithms and associated applications. This book is intended for graduate students and researchers in civil and mechanical engineering. Practitioners can also find useful reference guide for solving engineering problems.
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