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The Sinitic Civilization Book II
The Sinitic Civilization A Factual History through the Lens of Archaeology, Bronzeware, Astronomy, Divination, Calendar and the Annals The book covered the time span of history of the Sinitic civilization from antiquity, to the 3rd millennium B.C. to A.D. 85. A comprehensive review of history related to the Sinitic cosmological, astronomical, astrological, historical, divinatory, and geographical developments was given. All ancient Chinese calendars had been examined, with the ancient thearchs' dates examined from the perspective how they were forged or made up. The book provides the indisputable evidence regarding the fingerprint of the forger for the 3rd century A.D. book Shang-shu (remote...
The Aesthetics of Qiyun and Genius
In The Aesthetics of Qiyun and Genius: Spirit Consonance in Chinese Landscape Painting and Some Kantian Echoes, Xiaoyan Hu provides an interpretation of the notion of qiyun, or spirit consonance, in Chinese painting, and considers why creating a painting—especially a landscape painting—replete with qiyun is regarded as an art of genius, where genius is an innate mental talent. Through a comparison of the role of this innate mental disposition in the aesthetics of qiyun and Kant’s account of artistic genius, the book addresses an important feature of the Chinese aesthetic tradition, one that evades the aesthetic universality assumed by a Kantian lens. Drawing on the views of influential...
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Researchers and professionals
Computer and Computing Technologies in Agriculture II, Volume 1
The papers in this volume comprise the refereed proceedings of the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), in Beijing, China, 2008. The conference on the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA 2008) is cooperatively sponsored and organized by the China Agricultural University (CAU), the National Engineering Research Center for Information Technology in Agriculture (NERCITA), the Chinese Society of Agricultural Engineering (CSAE) , International Federation for Information Processing (IFIP), Beijing Society for Information Technology in Agriculture, China and Beijing Researc...
Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014
Being the premier forum for the presentation of new advances and research results in the fields of Industrial Engineering, IEEM 2014 aims to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and applications face and face, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. All the goals of the international conference are to fulfill the mission of the series conference which is to review, exchange, summarize and promote the latest achievements in the field of industrial engineering and engineering management over the past year and to propose prospects and vision for the further development.
Deep Learning for Coders with fastai and PyTorch
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
The Economic History in Song, Liao, Jin and Xixia Dynasty
The book is the volume of “The Economic History in Song, Liao, Jin and Xixia Dynasty” among a series of books of “Deep into China Histories”. The earliest known written records of the history of China date from as early as 1250 BC, from the Shang dynasty (c. 1600–1046 BC) and the Bamboo Annals (296 BC) describe a Xia dynasty (c. 2070–1600 BC) before the Shang, but no writing is known from the period The Shang ruled in the Yellow River valley, which is commonly held to be the cradle of Chinese civilization. However, Neolithic civilizations originated at various cultural centers along both the Yellow River and Yangtze River. These Yellow River and Yangtze civilizations arose millen...
