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Chinese art has experienced its most profound metamorphosis since the early 1950s, transforming from humble realism to socialist realism, from revolutionary art to critical realism, then avant-garde movement, and globalized Chinese art. With a hybrid mix of Chinese philosophy, imported but revised Marxist ideology, and western humanities, Chinese artists have created an alternative approach – after a great ideological and aesthetic transition in the 1980s – toward its own contemporaneity though interacting and intertwining with the art of rest of the world. This book will investigate, from the perspective of an activist, critic, and historian who grew up prior to and participated in the great transition, and then researched and taught the subject, the evolution of Chinese art in modern and contemporary times. The volume will be a comprehensive and insightful history of the one of the most sophisticated and unparalleled artistic and cultural phenomena in the modern world.
Motion planning is a fundamental function in robotics and numerous intelligent machines. The global concept of planning involves multiple capabilities, such as path generation, dynamic planning, optimization, tracking, and control. This book has organized different planning topics into three general perspectives that are classified by the type of robotic applications. The chapters are a selection of recent developments in a) planning and tracking methods for unmanned aerial vehicles, b) heuristically based methods for navigation planning and routes optimization, and c) control techniques developed for path planning of autonomous wheeled platforms.
"That Julia Andrews has reached sources that are so sensitive and difficult with such success is remarkable. The book is unquestionably a brilliant job, well-written, understandable, and of enormous scholarly value."--Joan Lebold Cohen, author of The New Chinese Painting
Forty years after China's tumultuous Cultural Revolution, this book revisits the visual and performing arts of the period - the paintings, propaganda posters, political cartoons, sculpture, folk arts, private sketchbooks, opera, and ballet - and examines what these vibrant, militant, often gaudy images meant to artists, their patrons, and their audiences at the time, and what they mean now, both in their original forms and as revolutionary icons reworked for a new market-oriented age. Chapters by scholars of Chinese history and art and by artists whose careers were shaped by the Cultural Revolution offer new insights into works that have transcended their times.
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection.
This book contains peer-reviewed papers from International Conference on Renewable and Clean Energy 2022 (contributions from various authors from all sectors of academia and industries), exploring cutting-edge solutions and best practices for renewable and clean energy technologies for achieving the UN's SDG7 to "ensure access to affordable, reliable, sustainable and modern energy for all." This book presents innovative grid integration technologies for techno-economic operation of renewable and clean energy technologies (e.g., solar photovoltaic, wind energy, hydrogen technologies including electrolyzer and fuel cell, energy storage technologies, etc.). It covers key aspects on energy conve...
his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.