Connectivity In Motion
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Connectivity in Motion
This original collection brings islands to the fore in a growing body of scholarship on the Indian Ocean, examining them as hubs or points of convergence and divergence in a world of maritime movements and exchanges. Straddling history and anthropology and grounded in the framework of connectivity, the book tackles central themes such as smallness, translocality, and “the island factor.” It moves to the farthest reaches of the region, with a rich variety of case studies on the Swahili-Comorian world, the Maldives, Indonesia, and more. With remarkable breadth and cohesion, these essays capture the circulations of people, goods, rituals, sociocultural practices, and ideas that constitute the Indian Ocean world. Together, they take up “islandness” as an explicit empirical and methodological issue as few have done before.
Control of Nonholonomic Systems: from Sub-Riemannian Geometry to Motion Planning
Nonholonomic systems are control systems which depend linearly on the control. Their underlying geometry is the sub-Riemannian geometry, which plays for these systems the same role as Euclidean geometry does for linear systems. In particular the usual notions of approximations at the first order, that are essential for control purposes, have to be defined in terms of this geometry. The aim of these notes is to present these notions of approximation and their application to the motion planning problem for nonholonomic systems.
Motion Correction in MR
Author: Andre van der Kouwe
language: en
Publisher: Academic Press
Release Date: 2022-10-28
Motion Correction in MR: Correction of Position, Motion, and Dynamic Changes, Volume Eight provides a comprehensive survey of the state-of-the-art in motion detection and correction in magnetic resonance imaging and magnetic resonance spectroscopy. The book describes the problem of correctly and consistently identifying and positioning the organ of interest and tracking it throughout the scan. The basic principles of how image artefacts arise because of position changes during scanning are described, along with retrospective and prospective techniques for eliminating these artefacts, including classical approaches and methods using machine learning. Internal navigator-based approaches as well as external systems for estimating motion are also presented, along with practical applications in each organ system and each MR modality covered. This book provides a technical basis for physicists and engineers to develop motion correction methods, giving guidance to technologists and radiologists for incorporating these methods in patient examinations. - Provides approaches for correcting scans prospectively and retrospectively - Shows how motion and secondary effects such as field changes manifest in MR scans as artifacts and subtle biases in quantitative research - Gives methods for measuring motion and associated field changes, quantifying motion and judging the accuracy of the motion and field estimates