This book, to reflect the system's diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.

This volumes consists of 59 peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM-16) held in Chania, Crete Greece in April 2016. Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies, and at the same time improve its sustainability by reducing its environmental impact. SDM-16 covers a wide range of topics from sustainable product design and service innovation, sustainable process and technology for the manufacturing of sustainable products, sustainable manufacturing systems and enterprises, decision support for sustainability, and the study of societal impact of sustainability including research for circular economy. Application areas are wide and varied. The book will provide an excellent overview of the latest research and development in the area of Sustainable Design and Manufacturing.

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.

"Advances of Computational Intelligence in Industrial Systems" reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.

Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems. "

The book contributes to a fuller description and a uniformed analysis of Mandarin cleft constructions. The book provides the first Mandarin empirical data towards some heated theoretical debates. The book yields a good combination of theoretical formal semantics, semantic-pragmatic interface studies, corpus analyses, and the newly emerging experimental semantics. Typologically speaking, Mandarin shi...(de) presents some characteristics of the that are rarely found with its counterparts in other languages.

The book contributes to a fuller description and a uniformed analysis of Mandarin cleft constructions. The book provides the first Mandarin empirical data towards some heated theoretical debates. The book yields a good combination of theoretical formal semantics, semantic-pragmatic interface studies, corpus analyses, and the newly emerging experimental semantics. Typologically speaking, Mandarin shi...(de) presents some characteristics of the that are rarely found with its counterparts in other languages.

This book analyzes of the surplus of production capacity in China. According to a government statement, there is a serious surplus of productive capacity in the steel, cement, glass, aluminum, and shipbuilding industries. There was no surplus of productive capacity in above industries between 2002 and 2012, and the current surplus is due to poor government policies on real estate prices after 2012. The book argues that if the Chinese government invested more in social welfare housing over the next few years the surplus of productive capacity would very soon disappear.

This book, to reflect the system's diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.

This book analyzes of the surplus of production capacity in China. According to a government statement, there is a serious surplus of productive capacity in the steel, cement, glass, aluminum, and shipbuilding industries. There was no surplus of productive capacity in above industries between 2002 and 2012, and the current surplus is due to poor government policies on real estate prices after 2012. The book argues that if the Chinese government invested more in social welfare housing over the next few years the surplus of productive capacity would very soon disappear.

This volumes consists of 59 peer-reviewed papers, presented at the International Conference on Sustainable Design and Manufacturing (SDM-16) held in Chania, Crete Greece in April 2016. Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies, and at the same time improve its sustainability by reducing its environmental impact. SDM-16 covers a wide range of topics from sustainable product design and service innovation, sustainable process and technology for the manufacturing of sustainable products, sustainable manufacturing systems and enterprises, decision support for sustainability, and the study of societal impact of sustainability including research for circular economy. Application areas are wide and varied. The book will provide an excellent overview of the latest research and development in the area of Sustainable Design and Manufacturing.

Computational Intelligence (CI) has emerged as a rapid growing field over the past decade. Its various techniques have been recognized as powerful tools for intelligent information processing, decision making and knowledge management.

"Advances of Computational Intelligence in Industrial Systems" reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I Theory and Foundation presents some of the latest developments in CI, e.g. particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Section II Industrial Application covers the CI applications in a wide variety of domains, e.g. clinical decision support, process monitoring for industrial CNC machine, novelty detection for jet engines, ant algorithm for berth allocation, etc.

Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems. "

This book contains the papers presented at the two CAPS (Collective Awareness Platforms for Sustainability and Social Innovation) workshops, namely the First International Workshop on the Internet for Financial Collective Awareness and Intelligence, IFIN 2016, and the First International Workshop on Internet and Social Media for Environmental Monitoring, ISEM 2016, held in Florence, Italy in September 2016. The two workshops were collocated with the third International Conference on Internet Science, INSCI 2016. The 8 papers presented have been carefully reviewed and selected from 13 submissions. The papers of the two workshops although targeting different goals aim at developing platforms promoting awareness on different but critical sustainability issues.

In recent years, increasing market competitiveness and rising educational costs have underscored the importance of external revenues in higher education finance in the United States. Even as the higher education costs continue to exceed the rate of inflation, public funding from both state and federal sources is steadily declining. As traditional funding sources become less reliable, American colleges and universities seek to pursue alternative revenues such as private donations. Using panel data of public colleges and universities from 1994-2003, this study investigated how institutional characteristics and environmental factors influence overall private giving and its varying sources to public colleges and universities. It addressed two major research questions: Which institutional, state policy and governance, and socioeconomic factors are most closely associated with the generation of private giving to public postsecondary institutions? How do these factors differently influence private giving from four sources- alumni/ae, non-alumni/ae individuals, corporations, and foundations? This book is addressed to higher education researchers, policymakers, university administrators, and institutional development officers. The general conceptual framework suggested by this book will help higher education researchers better understand the dynamics of private giving in collges and universities. Findings of this study also have some practical implications to higher education policymakers and practitioners.