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This proceedings volume gathers peer-reviewed, selected papers presented at the “Mathematical and Numerical Approaches for Multi-Wave Inverse Problems” conference at the Centre Internacional de Rencontres Mathématiques (CIRM) in Marseille, France, in April 2019. It brings the latest research into new, reliable theoretical approaches and numerical techniques for solving nonlinear and inverse problems arising in multi-wave and hybrid systems. Multi-wave inverse problems have a wide range of applications in acoustics, electromagnetics, optics, medical imaging, and geophysics, to name but a few. In turn, it is well known that inverse problems are both nonlinear and ill-posed: two factors that pose major challenges for the development of new numerical methods for solving these problems, which are discussed in detail. These papers will be of interest to all researchers and graduate students working in the fields of nonlinear and inverse problems and its applications.
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
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This book reviews the current state of all types of electromagnetic testing techniques and considers the implications of innovations for future inspection practice both in Europe and Japan.This volume provides researchers with an overview of exchanges on the subjects of ACPD and ACFM from both Japanese and continental perspectives. For instance: the Japanese project of applied electromagnetic theory to inspect nuclear power plants and the theory of signal inversion for flaw identification. Topics covered are: - Inversion, imaging and flaw reconstruction - Advanced signal processing - Artificial intelligence and neural networks - Modelling, simulation and benchmark problems - Reliability of inspections, new techniques and novel sensors - Automation of data acquisition and processing The work covers a wide range of disciplines and will therefore serve a large number of researchers of electromagnetic theory for the next millenium.
Pattern recognition is the extraction of consistent information from noisy spatiotemporal data. It can be and is currently being used in systems for battlefield supervision, smart weapons, and anti-counterfeiting of all kinds. A currrent application is the automatic detection of land mines and unexploded ordnance. (UXO). The methods employed can be subdivided in the following manner: (1) statistical methods, (2) neuro - methods, (3) fuzzy - methods, and (4) neuro fuzzy methods. Each of these methods has its special advantages and drawbacks, but all of them require the computation of feature variables from measurement or simulation data, e.g. from microwave backscattering. The Lecture series ...
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Corporate Strategy and Sustainability is a substantially updated, detailed overview of sustainability issues for business and economics students. Built to teach the evolution of the history of sustainability practices, this edition has expanded coverage of social sustainability issues, non-Western perspectives and sustainable supply chains. Rich in cases, these too have been updated to demonstrate best practice and the practical application of theory. Extensive discussions of tools show how incorporate sustainability issues apply to strategic decision making. The book accentuates the value and importance of a strong sustainability approach in an age of climate change emergency. This textbook is an ideal companion to instructors and students of sustainability in business, economics and management.
How local, specific, and personal understandings about belonging, ownership, and agency intersect with law to shape the city. In Owning the Street, Amelia Thorpe examines everyday experiences of and feelings about property and belonging in contemporary cities. She grounds her account in an empirical study of PARK(ing) Day, an annual event that reclaims street space from cars. A popular and highly recognizable example of DIY Urbanism, PARK(ing) Day has attracted considerable media attention, but has not yet been the subject of close scholarly examination. Focusing on the event's trajectories in San Francisco, Sydney, and Montreal, Thorpe addresses this gap, making use of extensive interview data, field work, and careful reflection to explore these tiny, temporary, and often transformative interventions.
Wonder has often occupied a place of unique importance across a variety of human practices and intellectual activities. At different times and historical periods, it has been hailed as the beginning of philosophy and as the end that philosophy should aspire to pursue; as the motive force of scientific quests and their fruit; as the aim of art and the means art uses to accomplish its aims; and as the religious experience par excellence and the hallmark of a deeper spiritual life. Yet despite the special relationship it has borne to many of our most highly valued intellectual and spiritual practices, wonder remains a neglected and understudied notion. This volume aims to redress this neglect, ...
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced ...