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Chronicling the lives and career choices of a dynamic group of women, this book provides a comprehensive and unique glimpse into the intricate balance of work and family. Women's Employment and Homemaking Careers is based on three surveys, the first conducted while the women were attending university and the second and third conducted one and two decades later. The surveys provide quantitative data that supplements the qualitative material gained from final interviews conducted at the end of the 25-year longitudinal study. The book is based on two comparisons - first, examining how women change in the quarter century following university and the second comparing the lifestyle choices of career women, homemakers, part-time employees and entrepreneurs - and uses those comparisons to build in-depth analyses of the pivotal importance of women's employment and family decisions. Cherlyn Granrose interprets her findings using lifespan development, decision-making and gender role theories and outlines lessons for women, their counselors and employers as well as other scholars. Women learn there are many different means by which to create satisfying family and working lives; employers learn the importance of positive supervision and flexible family support policies; and scholars learn the necessity of using multiple methods and perspectives to understand the complexity of modern women's lives. Scholars and students of sociology, psychology, business and women's studies will find this volume as informative as they will find it interesting.
Developments in electronic hardware, particularly microprocessors and solid-state cameras, have resulted in a vast explosion in the range and variety of applications to which intelligent processing may be applied to yield cost-effective automation. Typical examples include automated visual inspection and repetitive assembly. The technology required is recent and specialized, and is thus not widely known. VISION AND INFORMATION PROCESSING FOR AUTOMATION has arisen from a short course given by the authors to introduce potential users to the technology. Its content is a development and extension of material presented in the course. The objective of the book is to introduce readers to modern concepts and techniques basic to intelligent automation, and explain how these are applied to prac- tical problems. Its emphasis is on machine vision. Intelligent instrumentation is concerned with processing infor- mation, and an appreciation of the nature of information is essential in configuring instrumentation to handle it effiCiently. An understand- ing of the fundamental principles of efficient computation and of the way in which machines make decisions is vital for the same reasons. Selection of appropriate sensing (e.g., camera type and configuration), of illumination, of hardware for processing (microchip or parallel processor?) to give most effective information flow, and of the most appropriate processing algorithms is critical in obtaining an optimal solution. Analysis of performance, to demonstrate that requirements have been met, and to identify the causes if they have not, is also important. All of these topics are covered in this volume.
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