Heaven's door : immigration policy and the American economy / / George J. Borjas

• Record Nr.: UNINA9910781570503321
• Autore: Borjas George J
• Pubbl/distr/stampa: Princeton, N.J. : , : Princeton University Press, , 1999
• ISBN: 1-283-33989-7; 9786613339898; 1-4008-4150-X
• Edizione: [With a New preface by the author]
• Descrizione fisica: 1 online resource (282 pages) : illustrations
• Disciplina: 325.73
• Soggetti: Immigrants - United States - Economic conditions; United States Emigration and immigration Economic aspects; United States Emigration and immigration Government policy; United States Economic conditions 1981-2001
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "Second printing, and first paperback printing, with a new preface"--T.p. verso.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front matter -- CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- CHAPTER 1. Reframing the Immigration Debate -- CHAPTER 2. The Skills of Immigrants -- CHAPTER 3. National Origin -- CHAPTER 4. The Labor Market Impact of Immigration -- CHAPTER 5. The Economic Benefits from Immigration -- CHAPTER 6. Immigration and the Welfare State -- CHAPTER 7. Social Mobility across Generations -- CHAPTER 8. Ethnic Capital -- CHAPTER 9. Ethnic Ghettos -- CHAPTER 10. The Goals of Immigration Policy -- CHAPTER 11. A Proposal for an Immigration Policy -- CHAPTER 12. Conclusion -- Notes -- Index
• Sommario/riassunto: The U.S. took in more than a million immigrants per year in the late 1990's, more than at any other time in history. For humanitarian and many other reasons, this may be good news. But as George Borjas shows in Heaven's Door, it's decidedly mixed news for the American economy--and positively bad news for the country's poorest citizens. Widely regarded as the country's leading immigration economist, Borjas presents the most comprehensive, accessible, and up-to-date account yet of the economic impact of recent immigration on America. He ; reveals that the benefits of immigration have been greatly exaggerated and that, if we allow immigration to continue unabated and unmodified, we are supporting an astonishing transfer of wealth from the poorest people in the country, who are disproportionately minorities, to the richest. In the course of the book, Borjas carefully analyzes immigrants' skills, national origins, welfare use, economic mobility, and impact on the labor market, and he makes groundbreaking use of new data to trace current trends in ethnic segregation. He also evaluates the implications of the evidence for the type of immigration policy the that U.S. should pursue. Some of his findings are dramatic: Despite estimates that range into hundreds of billions of dollars, net annual gains from immigration are only about

Machine Learning and Data Mining in Aerospace Technology / / edited by Aboul Ella Hassanien, Ashraf Darwish, Hesham El-Askary

• Record Nr.: UNINA9910484962803321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• ISBN: 3-030-20212-7
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (VIII, 232 p. 97 illus., 62 illus. in color.)
• Collana: Studies in Computational Intelligence, , 1860-949X ; ; 836
• Disciplina: 006.31
• Soggetti: Computational intelligence; Aerospace engineering; Astronautics; Artificial intelligence; Computational Intelligence; Aerospace Technology and Astronautics; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Tensor-based anomaly detection for satellite telemetry data -- Machine learning in satellites monitoring and risk challenges -- Formalization, ; prediction and recognition of expert evaluations of telemetric data of artificial satellites based on type-II fuzzy sets -- Intelligent health monitoring systems for space missions based on data mining techniques -- Design, implementation, and validation of satellite simulator and data packets analysis -- Crop yield estimation using decision trees and random forest machine learning algorithms on data from terra (EOS AM-1) & aqua (EOS PM-1) satellite data -- Data analytics using satellite remote sensing in healthcare applications -- Design, Implementation, and Testing of Unpacking System for Telemetry Data of Artificial Satellites: Case Study: EGYSAT1 -- Multiscale Satellite Image Classification using Deep Learning Approach -- Security approaches in machine learning for satellite communication -- Machine learning techniques for IoT intrusions detection in aerospace cyber physical systems.
• Sommario/riassunto: This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering. This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.