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Introduces shapes and things that go -- trains, fire trucks, and more --
Reinforces shape recognition and critical thinking skills, and provides a better understanding of the use of real-world math through examples involving road signs, bridges, buildings and other objects.
In MAT MAN SHAPES (hardcover), The popular Mat Man™ character comes to life in an imaginative tale that takes children to a world of shapes and rhymes. A friendly hero opens students' minds to shapes, rhyming verse, imagination, exploration, and community in the first book of the Mat Man™ reading series.
This expanded and revised sixth edition of The Geography of Transport Systems provides a comprehensive and accessible introduction to the field with a broad overview of its concepts, methods, and areas of application. It explores the spatial aspects of transportation and focuses on how the mobility of passengers and freight is linked with geography. The book is divided into ten chapters, each covering a specific conceptual dimension, including networks, modes, terminals, freight transportation, urban transportation, and environmental impacts, and updated with the latest information available. The sixth edition offers new and updated material on information technologies and mobility, e-commerce, transport and the economy, mobility and society, supply chains, security, pandemics, energy and the environment, and climate change. With over 140 updated figures and maps, The Geography of Transport Systems presents transportation systems at different scales ranging from global to local. This volume is an essential resource for undergraduates studying transportation, as well as those interested in economic and urban geography, transport planning and engineering. A companion website, which contains additional material such as photographs, maps, figures, and PowerPoint presentations, has been developed for the book and can be found here: https://transportgeography.org/
This book covers the parameterization of entry capsules, including Apollo capsules and planetary probes, and winged entry vehicles such as the Space Shuttle and lifting bodies. The aerodynamic modelling is based on a variety of panel methods that take shadowing into account, and it has been validated with flight and wind tunnel data of Apollo and the Space Shuttle. The shape optimization is combined with constrained trajectory analysis, and the multi-objective approach provides the engineer with a Pareto front of optimal shapes. The method detailed in Conceptual Shape Optimization of Entry Vehicles is straightforward, and the output gives the engineer insight in the effect of shape variations on trajectory performance. All applied models and algorithms used are explained in detail, allowing for reconstructing the design tool to the researcher’s requirements. Conceptual Shape Optimization of Entry Vehicles will be of interest to both researchers and graduate students in the field of aerospace engineering, and to practitioners within the aerospace industry.
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems
Spot the shapes on top of rolling waves and on sandy shores. This sea-based early learning selection features rhyme and repetition, as well as a full page summarizing the shapes for reinforced learning.
Over the past thirty-five years, a substantial amount of theoretical and empirical scholarly research has been developed across the discipline domains of Transportation. This research has been synthesized into a systematic handbook that examines the scientific concepts, methods, and principles of this growing and evolving field. The Handbook of Transportation Science outlines the field of transportation as a scientific discipline that transcends transportation technology and methods. Whether by car, truck, airplane - or by a mode of transportation that has not yet been conceived - transportation obeys fundamental properties. The science of transportation defines these properties, and demonstrates how our knowledge of one mode of transportation can be used to explain the behavior of another. Transportation scientists are motivated by the desire to explain spatial interactions that result in movement of people or objects from place to place. Its methodologies draw from physics, operations research, probability and control theory.