This book provides a comprehensive discussion of Adaptable Design (AD). It covers the conception, method, and application of AD to the real-world product design. AD's benefits are substantial as it upgrades, reuses, remanufactures and recycles products throughout the product lifecycle. It rapidly adapts the existing design in development of new designs. Key elements of AD include rationalized function structures, adaptable product architectures, adaptable interfaces, and adaptability evaluations. The main feature of AD is adaptability in design methods and product applications with general and specific adaptability. AD has also modeling and evaluating adaptabilities.
This book provides a comprehensive discussion of Adaptable Design (AD). It covers the conception, method, and application of AD to the real-world product design. AD's benefits are substantial as it upgrades, reuses, remanufactures and recycles products throughout the product lifecycle. It rapidly adapts the existing design in development of new designs. Key elements of AD include rationalized function structures, adaptable product architectures, adaptable interfaces, and adaptability evaluations. The main feature of AD is adaptability in design methods and product applications with general and specific adaptability. AD has also modeling and evaluating adaptabilities.
The first text to bridge the gap between image processing andjump regression analysis Recent statistical tools developed to estimate jump curves andsurfaces have broad applications, specifically in the area of imageprocessing. Often, significant differences in technicalterminologies make communication between the disciplines of imageprocessing and jump regression analysis difficult. Ineasy-to-understand language, Image Processing and JumpRegression Analysis builds a bridge between the worlds ofcomputer graphics and statistics by addressing both the connectionsand the differences between these two disciplines. The authorprovides a systematic analysis of the methodology behindnonparametric jump regression analysis by outlining procedures thatare easy to use, simple to compute, and have proven statisticaltheory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on localsmoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book isuniquely accessible to a broad readership. It may be used as aprimary text in nonparametric regression analysis and imageprocessing as well as a reference guide for academicians andindustry professionals focused on image processing or curve/surfaceestimation.
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