Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few — if any — textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
This Atlas presents records of climatic variability and change in Europe starting before 1901 and focuses especially on trends of extreme temperatures and precipitation. The authors have used software developed within EMULATE (European and North Atlantic daily to MULtidecadal climATE variability) to obtain the extremes indices and temporal trends. The trend atlas provides an easy way to identify spatial patterns for a given time period, region, season, and index. The Atlas clearly shows that climate in Europe has changed over the last 100 to 150 years, such that the occurrence and intensity of warm temperature extremes have increased. Precipitation extremes have also changed, but with a less clear pattern compared to the temperature extremes.
Gaoyang, an ordinary 80th Queen Girl, was no different from any other Girl. It was just that she never thought that there would come a day when she would obtain the portable space that was written in novels, and reborn in that crazy and turbulent era!
We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field. TOC:Introduction.- Study of the Wiener Filter for Noise Reduction.- Statistical Methods for the Enhancement of Noisy Speech.- Single- und Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model.- From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals.- Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation.- Signal Subspace Techniques for Speech Enhancement.- Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework.- Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction.- Adpative Microphone Arrays Employing Spatial Quadratic Soft Constraints and Spectral Shaping.- Single-Microphone Blind Dereverberation.- Separation and Dereverberation of Speech Signals with Multiple Microphones.- Frequency-Domain Blind Source Separation.- Subband Based Blind Source Separation.- Real-Time Blind Source Separation for Moving Speech Signals.- Separation of Speech by Computational Auditory Scene Analysis
Past, present and future "The archaeological materials recovered from the Anyang excavations ... in the period between 1928 and 1937 ... have laid a new foundation for the study of ancient China (Li, C. 1977: ix)." When inscribed oracle bones and enormous material remains were found through scientific excavation in Anyang in 1928, the historicity of the Shang dynasty was confirmed beyond dispute for the first time (Li, C. 1977: ix-xi). This excavation thus marked the beginning of a modern Chinese archaeology endowed with great potential to reveal much of China's ancient history.. Half a century later, Chinese archaeology had made many unprecedented discoveries which surprised the world, leading Glyn Daniel to believe that "a new awareness of the importance of China will be a key development in archaeology in the decades ahead (Daniel 1981: 211). This enthusiasm was soon shared by the Chinese archaeologists when Su Bingqi announced that "the Golden Age of Chinese archaeology is arriving (Su, B. 1994: 139--140)". In recent decades, archaeology has continuously prospered, becoming one of the most rapidly developing fields in social science in China"--
This book explores the social economic processes of inequality in nineteenth- and early-twentieth-century rural China. Drawing on uniquely rich source materials, Shuang Chen provides a comprehensive view of the creation of a social hierarchy wherein the state classified immigrants to the Chinese county of Shuangcheng into distinct categories, each associated with different land entitlements. The resulting patterns of wealth stratification and social hierarchy were then simultaneously challenged and reinforced by local people. The tensions built into the unequal land entitlements shaped the identities of immigrant groups, and this social hierarchy persisted even after the institution of unequal state entitlements was removed. State-Sponsored Inequality offers an in-depth understanding of the key factors that contribute to social stratification in agrarian societies. Moreover, it sheds light on the many parallels between the stratification system in nineteenth-century Shuangcheng and structural inequality in contemporary China.
Hydrothermal techniques have been widely used in the synthesis of advanced materials, the treatment of wastes, and the preparation and extraction of special chemicals. They have also been studied for the mimicking of geothermal processes. Nowadays, hydrothermal techniques and sciences play a very important role both in industry and in academia. This book includes contributions from chemists and chemical engineering scientists worldwide who are active in the field of hydrothermal reactions and techniques. The topics covered range from fundamentals of hydrothermal reactions, modeling of hydrothermal processes, new techniques for hydrothermal treatment, and new materials from hydrothermal systems to supercritical fluid reaction systems.
The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
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.
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.
Well Production Performance Analysis for Shale Gas Reservoirs, Volume 66 presents tactics and discussions that are urgently needed by the petroleum community regarding unconventional oil and gas resources development and production. The book breaks down the mechanics of shale gas reservoirs and the use of mathematical models to analyze their performance. - Features an in-depth analysis of shale gas horizontal fractured wells and how they differ from their conventional counterparts - Includes detailed information on the testing of fractured horizontal wells before and after fracturing - Offers in-depth analysis of numerical simulation and the importance of this tool for the development of shale gas reservoirs
This work explores the many factors underlying the extended popularity of the cliff tomb, a local burial form in the Sichuan Basin in China during the Eastern Han dynasty (AD 25-220).
Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
In December 2009, Shanghai Zhenhua Heavy Industries (ZPMC) issued a press release that 76-year-old President Guan Tongxian had decided to resign due to his age, and his resignation had been accepted by the Board of Directors. A special shareholders' meeting was convened on Christmas Day and agreed to recruit a new president. This text examines Guan Tongxian's career.
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