Yong J. Yoon's Books

Individualism and Political Disorder

By: The late James M. Buchanan,Yong J. Yoon

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Individualism and Political Disorder

By: The late James M. Buchanan,Yong J. Yoon

Inspired by F.A. Hayek’s Individualism and Economic Order, this book also stands in contrast to the themes of that work, by emphasizing that collective action works differently from the way the market works. The chapters comprise papers written by James M.Buchanan, both with and without Yoon’s co-authorship, after the publication of his Collected Work volumes. These chapters reflect the authors' thoughts on politics, seen through the lens of fiscal policy and the tragedies of the commons and anti-commons in collective action. The pathologies of democratic politics rigorously analyzed in the book prove the relevance of Buchanan's constitutionalism

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Page Count

165

Publisher

Edward Elgar Publishing

Published Date

ISBN 10

178471058X

ISBN 13

9781784710583

PET/CT, An Issue of Radiologic Clinics of North America

By: Yong Bradley

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PET/CT, An Issue of Radiologic Clinics of North America

By: Yong Bradley

This issue discusses the newest approaches to PET/CT Imaging. The roles of PET/CT in pulmonary masses, GI malignancies, head and neck cancer, lymphoma, soft tissue sarcoma, pancreatic and biliary tree malignancies, malignant melanoma, breast carcinoma, common pediatric malignancies, bone malignancies, and the role PET/CT plays in radiation oncology treatment planning are reviewed.

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Page Count

188

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

1455776114

ISBN 13

9781455776115

Large Area and Flexible Electronics

By: Mario Caironi,Yong-Young Noh

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Large Area and Flexible Electronics

By: Mario Caironi,Yong-Young Noh

From materials to applications, this ready reference covers the entire value chain from fundamentals via processing right up to devices, presenting different approaches to large-area electronics, thus enabling readers to compare materials, properties and performance. Divided into two parts, the first focuses on the materials used for the electronic functionality, covering organic and inorganic semiconductors, including vacuum and solution-processed metal-oxide semiconductors, nanomembranes and nanocrystals, as well as conductors and insulators. The second part reviews the devices and applications of large-area electronics, including flexible and ultra-high-resolution displays, light-emitting transistors, organic and inorganic photovoltaics, large-area imagers and sensors, non-volatile memories and radio-frequency identification tags. With its academic and industrial viewpoints, this volume provides in-depth knowledge for experienced researchers while also serving as a first-stop resource for those entering the field.

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Page Count

588

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527679995

ISBN 13

9783527679997

Privacy Preservation in IoT: Machine Learning Approaches

A Comprehensive Survey and Use Cases

By: Youyang Qu,Longxiang Gao,Shui Yu,Yong Xiang

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Privacy Preservation in IoT: Machine Learning Approaches

A Comprehensive Survey and Use Cases

By: Youyang Qu,Longxiang Gao,Shui Yu,Yong Xiang

This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.

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Page Count

127

Publisher

Springer Nature

Published Date

ISBN 10

9811917973

ISBN 13

9789811917974

Book's by Yong J. Yoon

Individualism and Political Disorder

Individualism and Political Disorder

PET/CT, An Issue of Radiologic Clinics of North America

PET/CT, An Issue of Radiologic Clinics of North America

Large Area and Flexible Electronics

Large Area and Flexible Electronics

Privacy Preservation in IoT: Machine Learning Approaches

Privacy Preservation in IoT: Machine Learning Approaches

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