This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: * the state-of-the-art of nonlinear filtering and control; * recent advances in recursive filtering and sliding mode control; and * their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton-Jacobi-Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

This volume contains state of the engineering practice and recent research in the field of built infrastructure and natural hazards. It is expected that the book will help engineers and researchers to design and built resilient infrastructures in challenging conditions (e.g., earthquakes and climate change) while optimising the design and minimising the future maintenance cost. In particular new design and construction techniques with reference to major infrastructure projects such as tunneling and transport infrastructure are discussed.

This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.

A beautifully illustrated study of the caves at Dunhuang, exploring how this important Buddhist site has been visualized from its creation to today Situated at the crossroads of the northern and southern routes of the ancient silk routes in western China, Dunhuang is one of the richest Buddhist sites in the world, with more than 500 richly decorated cave temples constructed between the fourth and fourteenth centuries. The sculptures, murals, portable paintings, and manuscripts found in the Mogao and Yulin Caves at Dunhuang represent every aspect of Buddhism. From its earliest construction to the present, this location has been visualized by many individuals, from the architects, builders, and artists who built the caves to twentieth-century explorers, photographers, and conservators, as well as contemporary artists. Visualizing Dunhuang: Seeing, Studying, and Conserving the Caves is a paperback edition of the ninth volume of the magnificent nine-volume hardback set, and examines how the Lo Archive, a vast collection of photographs taken in the 1940s of the Mogao and Yulin Caves, inspires a broad range of scholarship. Lavishly illustrated with selected Lo Archive and modern photographs, the essays address three main areas-Dunhuang as historical record, as site, and as art and art history. Leading experts across three continents examine a wealth of topics, including expeditionary photography and cave architecture, to demonstrate the intellectual richness of Dunhuang. Diverse as they are in their subjects and methodologies, the essays represent only a fraction of what can be researched about Dunhuang. The high concentration of caves at Mogao and Yulin and their exceptional contents chronicle centuries of artistic styles, shifts in Buddhist doctrine, and patterns of political and private patronage-providing an endless source of material for future work. Contributors include Neville Agnew, Dora Ching, Jun Hu, Annette Juliano, Richard Kent, Wei-Cheng Lin, Cary Liu, Maria Menshikova, Jerome Silbergeld, Roderick Whitfield, and Zhao Shengliang. Published in association with the Tang Center for East Asian Art, Princeton University

This is an EXACT reproduction of a book published before 1923. This IS NOT an OCR'd book with strange characters, introduced typographical errors, and jumbled words. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

The complete version of John Woo's historical action epic based on one of Asia's most popular novels, 'Romance of the Three Kingdoms', by Guanzhong Luo. In the final days of the Han dynasty, tyrannical warlord Cao Cao (Fengyi Zhang) invades the kingdom of Wu with his army of over a million soldiers. However, Wu's military strategist Zhou Yu (Tony Leung) devises a plan to join forces with former rival Liu Bei (Yong You) and challenge Cao Cao's invaders at sea, leading to a vast naval battle that culminates in the legendary Battle of Red Cliff. Takeshi Kaneshiro and Wei Zhao co-star.

Epic war film, based on real events, set during and after the Chinese civil war. Gu Zidi (Hanyu Zang), Captain of the Ninth Company of the People's Liberation Army (PLA) leads his 46 men into one of the bloodiest battles of the Huaihai Campaign in 1948. His orders are to fight the Nationalist Army (KMT) until he hears the bugle call for retreat. After the ammunition runs out and his men are dropping like flies, the bugle has still not sounded. When his dying Lieutenant insists that he has heard the call, Gu is still not convinced and orders his remaining men to fight on. Eventually all are dead bar Gu. As doubt and guilt seep into his mind he marches straight into the enemy's trench where his life is spared. Waking in hospital a few days later he has lost his identity papers. With no other survivors from his company, the 46 men who gave up their lives are simply listed as missing. Determined to prove his men's bravery, the Captain embarks on a journey in search of the truth about the bugle call.