Introducing Stone–Priestley duality theory and its applications to logic and theoretical computer science, this book equips graduate students and researchers with the theoretical background necessary for reading and understanding current research in the area. After giving a thorough introduction to the algebraic, topological, logical, and categorical aspects of the theory, the book covers two advanced applications in computer science, namely in domain theory and automata theory. These topics are at the forefront of active research seeking to unify semantic methods with more algorithmic topics in finite model theory. Frequent exercises punctuate the text, with hints and references provided.
Energy: Money, Materials and Engineering focuses on the utilization and management of energy sources, taking into consideration the chemical processes and economic implications involved. Divided into eight parts with 47 chapters, the book features the literature of authors who have painstakingly conducted studies on the utilization, management, conversion, and the economics involved in the use of energy. These papers stress the contributions of chemical engineers and researchers in establishing the relationship of the development of energy sources, while at the same time minding their possible effects on the environment. In the conversion of energy, various processes are discussed. The book also touches the processes involved in the conservation of energy in various areas as well as in the industrial setting. Relative to this, various processes are discussed, including water electrolysis, the use of batteries in electricity supply system, coal gasification, and the use of turbines. The text also points out the evolution of hazardous materials because of the use of energy. The need to create programs to control their potential effects on the environment and health is stressed. The book is a valuable source of information for those involved in thermodynamics.
Multimodal Perception and Secure State Estimation for Robotic Mobility Platforms Enables readers to understand important new trends in multimodal perception for mobile robotics This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. It thoroughly evaluates filter-based secure dynamic pose estimation approaches for autonomous vehicles over multiple attack signals and shows that they outperform conventional Kalman filtered results. As a modern learning resource, it contains extensive simulative and experimental results that have been successfully implemented on various models and real platforms. To aid in reader comprehension, detailed and illustrative examples on algorithm implementation and performance evaluation are also presented. Written by four qualified authors in the field, sample topics covered in the book include: Secure state estimation that focuses on system robustness under cyber-attacks Multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors A geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, which has been validated using public and self-collected data How to achieve real-time road-constrained and heading-assisted pose estimation This book will appeal to graduate-level students and professionals in the fields of ground vehicle pose estimation and perception who are looking for modern and updated insight into key concepts related to the field of robotic mobility platforms.
This richly illustrated book provides an overview of all known Dutch and Flemish artists up to the nineteenth century, who painted or drew flower pieces, or else made prints of them.
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