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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. "
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Collective Online Platforms for Financial and Environmental Awareness - First International Workshop on the Internet for Financial Collective Awareness and Intelligence, IFIN 2016 and First International Workshop on Internet and Social Media for Environmental Monitoring, ISEM 2016, Florence, Italy, September 12, 2016, Revised Selected Papers (Paperback, 1st ed. 2016)
Anna Satsiou, Georgios Panos, Ioannis Praggidis, Stefanos Vrochidis, Symeon Papadopoulos, …
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R1,393
Discovery Miles 13 930
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Out of stock
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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.
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