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Provides readers an understanding of the basic physics underlying meta-materials, providing a powerful tool for analyzing their electromagnetic properties Periodic Structures: Mode-Matching Approach and Applications in Electromagnetic Engineering presents the scattering and guiding characteristics of periodic structures using the mode-matching approach and their applications in electromagnetic engineering. The book is structured so that the first three chapters provide an introduction and prepare the reader for chapters 4 to 6, which expand the formulations to electromagnetic and optical structures applicable to practical device applications. The last chapters cover very recent research topics in electromagnetics and optics. Provides an analytic approach to describing the operation of photonic crystals and related periodic structures Covers guided and leaky mode propagation in periodic surroundings, from fundamentals to practical device applications Demostrates formulation of the periodic system and applications to practical electromagnetic / optical devices, even further to metamaterials Introduces the evolution of periodic structures and their applications in microwave, millimeter wave and THz. Written by a high-impact author in electromagnetics and optics Contains mathematical derivations which can be applied directly to MATLAB programs Ideal for Graduate students and advanced undergraduates in electronic engineering, optics, physics, and applied physics, or researchers working with periodic structures

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.

The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling human perception mechanisms, and for the development of practical biometric systems. This book and the accompanying website, focus on template matching, a subset of object recognition techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face processing tasks throughout the book to illustrate more general object recognition approaches, Roberto Brunelli: examines the basics of digital image formation, highlighting points critical to the task of template matching; presents basic and advanced template matching techniques, targeting grey-level images, shapes and point sets; discusses recent pattern classification paradigms from a template matching perspective; illustrates the development of a real face recognition system; explores the use of advanced computer graphics techniques in the development of computer vision algorithms. Template Matching Techniques in Computer Vision is primarily aimed at practitioners working on the development of systems for effective object recognition such as biometrics, robot navigation, multimedia retrieval and landmark detection. It is also of interest to graduate students undertaking studies in these areas.

While the traffic in human organs stirs outrage and condemnation, donations of such material are perceived as highly ethical. In reality, the line between illicit trafficking and admirable donation is not so sharply drawn. Those entangled in the legal, social, and commercial dimensions of transplanting organs must reconcile motives, bureaucracy, and medical desperation. Matching Organs with Donors: Legality and Kinship in Transplants examines the tensions between law and practice in the world of organ transplants—and the inventive routes patients may take around the law while going through legal processes. In this sensitive ethnography, Marie-Andrée Jacob reveals the methods and mindsets of doctors, administrators, gray-sector workers, patients, donors, and sellers in Israel's living kidney transplant bureaus. Matching Organs with Donors describes how suitable matches are identified between donor and recipient using terms borrowed from definitions of kinship. Jacob presents a subtle portrait of the shifting relationships between organ donors/sellers, patients, their brokers, and hospital officials who often accept questionably obtained organs. Jacob's incisive look at the cultural landscapes of transplantation in Israel has wider implications. Matching Organs with Donors deepens our understanding of the law and management of informed consent, decision-making among hospital professionals, and the shadowy borders between altruism and commerce.