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Deep Learning for Fluid Simulation and Animation
This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.
Placar Magazine
PLACAR: a maior revista brasileira de futebol. Notícias, perfis, entrevistas, fotos exclusivas.
Educação em evolução
Este livro, apesar de ter sido composto em um momento tardio da pandemia de covid-19 que nos atinge desde 2020, ainda apresenta sua influência. Entendemos que a educação e seus métodos não são estáticos, basta voltar nossos olhos às teorias de ensino e aprendizagem ao longo do tempo. Sendo assim, e tendo em mente a reviravolta pandêmica que todos experienciamos, a mudança e evolução contínua não param e são representadas nos escritos aqui dispostos.
Computational Fluid Dynamics (CFD)
Computational fluid dynamics (CFD) combines continuum and discrete theories for fluid modeling with computational algorithms for fluid simulation. It is an important research area since there is a wide range of natural phenomena that can be modeled through fluid theory. Some common engineering examples are pumps, fans, turbines, airplanes, ships, rivers, windmills, pipes, and more recently, the hemodynamics of the arterial system. This book examines several characteristics of CFD, as well as its applications and analysis.
The Belt and Road Initiative
This book is an analysis of the developments associated with the Belt and Road Initiative (B&RI) five years after Xi Jinping announced both the Silk Road Economic Belt (SREB) and the 21st Maritime Silk Road (21MSR). Together, these two dimensions constitute the B&RI, providing the so-called Chinese ‘project of the century’ with regional, inter-regional and global reach. This book aims at assessing the impact of the B&RI in all these dimensions and levels of influence. This is a current and promising theme, not only in the short and medium terms, but also within a broader timescale, reflecting Chinese strategic thinking itself, since Chinese philosophy and culture are oriented towards long-term and inter-generational perspectives. Likewise, both the title of this publication and the way it has been organized result from the empirical perception that China asserts a conservative attitude towards foreign affairs, redesigned in multiple dimensions, to create a perception of domestic unity and global prestige. In this vein of thought, the B&RI is already influencing and will continue to influence, directly or indirectly, the current economic and political order.
Role and Impact of Tourism in Peacebuilding and Conflict Transformation
Though conflict is normal and can never fully be prevented in the international arena, such conflicts should not lead to loss of innocent life. Tourism can offer a bottom-up approach in the mediation process and contribute to the transformation of conflicts by allowing a way to contradict official barriers motivated by religious, political, or ethnic division. Tourism has both the means and the motivation to ensure the long-term success of prevention efforts. Role and Impact of Tourism in Peacebuilding and Conflict Transformation is an essential reference source that provides an approach to peace through tourism by presenting a theoretical framework of tourism dynamics in international relations, as well as a set of peacebuilding case studies that illustrate the role of tourism in violent or critical scenarios of conflict. Featuring research on topics such as cultural diversity, multicultural interaction, and international relations, this book is ideally designed for policymakers, government officials, international relations experts, academicians, students, and researchers.
Nanostructured Materials
There continues to be a worldwide interest in the size-dependent properties of nanostructured materials and their applications in many diverse fields such as catalysis, sensors, energy conversion processes, and biomedicine to name a few. The eleven chapters of this book written by different researchers include four chapters on the different methods of fabrication of specific materials followed by characterization of their properties, and the remaining seven chapters focusing on the fabrications and applications including three chapters on biomedical applications, two chapters on sensors, one chapter on solar cells, and one chapter on the use of nanoparticles in herbicides. These chapters provide up-to-date reviews useful for current and future researchers in these specific areas.
Crowd Simulation
Research into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film. Despite recent impressive results when simulating and rendering thousands of individuals, many challenges still exist in this area. The comparison of simulation with reality, the realistic appearance of virtual humans and their behavior, group structure and their motion, and collision avoidance are just some examples of these challenges. For most of the applications of crowds, it is now a requirement to have real-time simulations – which is an additional challenge, particularly when crowds are very large. Crowd Simulation...
