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This book combines energy economics and big data modeling analysis
in energy conversion and management and comprehensively introduces
the relevant theories, key technologies, and application examples
of the smart energy economy. With the help of time series big data
modeling results, energy economy managers develop reasonable and
feasible pricing mechanisms of electricity price and improve the
absorption capacity of the power grid. In addition, they also carry
out scientific power equipment scheduling and cost-benefit analysis
according to the results of data mining, so as to avoid the loss
caused by accidental damage of equipment. Energy users adjust their
power consumption behavior through the modeling results provided
and achieve the effect of energy saving and emission reduction
while reasonably reducing the electricity expenditure. This book
provides an important reference for professionals in related fields
such as smart energy, smart economy, energy Internet, artificial
intelligence, energy economics and policy.
First published in 2002. Routledge is an imprint of Taylor &
Francis, an informa company.
Analytical Methods for Polymer Characterization presents a
collection of methods for polymer analysis. Topics include
chromatographic methods (gas chromatography, inverse gas
chromatography, and pyrolysis gas chromatography), mass
spectrometry, spectroscopic methods (ultraviolet-visible
spectroscopy, infrared spectroscopy, Raman spectroscopy, and
nuclear magnetic resonance), thermal analysis (differential
scanning calorimetry and thermogravimetry), microscopy methods
(scanning electron microscopy, transmission electron microscopy,
and atomic force microscopy), and x-ray diffraction. The author
also discusses mechanical and dynamic mechanical properties.
This book provides advanced techniques for precision compensation
and fault diagnosis of precision motion systems and rotating
machinery. Techniques and applications through experiments and case
studies for intelligent precision compensation and fault diagnosis
are offered along with the introduction of machine learning and
deep learning methods. Machine Learning-Based Fault Diagnosis for
Industrial Engineering Systems discusses how to formulate and solve
precision compensation and fault diagnosis problems. The book
includes experimental results on hardware equipment used as
practical examples throughout the book. Machine learning and deep
learning methods used in intelligent precision compensation and
intelligent fault diagnosis are introduced. Applications to deal
with relevant problems concerning CNC machining and rotating
machinery in industrial engineering systems are provided in detail
along with applications used in precision motion systems. Methods,
applications, and concepts offered in this book can help all
professional engineers and students across many areas of
engineering and operations management that are involved in any part
of Industry 4.0 transformation.
Globalization and internationalization are salient features of our times in significant modern and post-modern social theories. This study contributes to the literature, and delineates a comprehensive picture of China's higher education internationalization, with an analysis of its costs and benefits, set in an international comparative perspective.
Analytical Methods for Polymer Characterization presents a
collection of methods for polymer analysis. Topics include
chromatographic methods (gas chromatography, inverse gas
chromatography, and pyrolysis gas chromatography), mass
spectrometry, spectroscopic methods (ultraviolet-visible
spectroscopy, infrared spectroscopy, Raman spectroscopy, and
nuclear magnetic resonance), thermal analysis (differential
scanning calorimetry and thermogravimetry), microscopy methods
(scanning electron microscopy, transmission electron microscopy,
and atomic force microscopy), and x-ray diffraction. The author
also discusses mechanical and dynamic mechanical properties.
Applying a many-facet Rasch analysis of rater effects on an oral
English proficiency test, this book provides an instance of how a
measurement approach offers more informative and accurate feedback
on the impact of rater effects upon test scores than the classical
estimates of interrater reliability commonly used in performance
assessment of second language proficiency. The analysis also sheds
some light on the design of more effective rater training programs
with respect to quality control of rater performance in language
testing. The book should be helpful for testing professionals who
are involved in the rating of language tests, rater training, and
test administrations, and for those who may be considering adopting
Rasch analysis in performance assessment of human behavior.
In From Wall Street to the Great Wall, Burton G. Malkiel and his
coauthors show how average investors can tap into the opportunities
this affords without losing their shirts. The authors present
firsthand knowledge from their research trips to China on how
Chinese firms and industries, as well as multinationals in the
United States and elsewhere, are likely to benefit growth. They
describe investment opportunities ranging from stocks to real
estate to art and then set forth a grand strategy, including sample
portfolios, for profiting from China's economic boom.
It is no secret that China has the world s fastest-growing economy.
The trick is how average investors can tap into the opportunities
it affords. Burton G. Malkiel, longtime friend and adviser to
ordinary investors through his great book A Random Walk Down Wall
Street, now gives them China. In From Wall Street to the Great Wall
he explains why and how the Chinese economy is poised for
significant gains in the near future. It highlights not only
Chinese firms and industries but also multinationals in the United
States and elsewhere that are likely to benefit from China s
explosive growth. Following this tour and analysis of investment
opportunities in China, including the stock, commodities, real
estate, and even art and collectibles markets, the book reviews
these options and sets forth a grand strategy, including sample
portfolios, for investing in China."
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