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Tai Chi, a Chinese martial art developed based on the laws of
nature, emphasises how 'to conquer the unyielding with the
yielding.' The recent observation of star formation shows that
stars result from the interaction between gravity, turbulence and
magnetic fields. This interaction again follows the natural rules
that inspired Tai Chi. For example, if self-gravity is the force
that dominates, the molecular cloud will collapse isotropically,
which compresses magnetic field lines. The density of the yielding
field lines increases until magnetic pressure reaches the critical
value to support the cloud against the gravitational force in
directions perpendicular to the field lines (Lorentz force). Then
gravity gives way to Lorentz force, accumulating gas only along the
field lines till the gas density achieves the critical value to
again compress the field lines. The Tai Chi goes on in a self
similar way.
This book offers in-depth insights into the rapidly growing topic
of technologies and approaches to modeling fuzzy spatiotemporal
data with XML. The topics covered include representation of fuzzy
spatiotemporal XML data, topological relationship determination for
fuzzy spatiotemporal XML data, mapping between the fuzzy
spatiotemporal relational database model and fuzzy spatiotemporal
XML data model, and consistencies in fuzzy spatiotemporal XML data
updating. Offering a comprehensive guide to the latest research on
fuzzy spatiotemporal XML data management, the book is intended to
provide state-of-the-art information for researchers,
practitioners, and graduate students of Web intelligence, as well
as data and knowledge engineering professionals confronted with
non-traditional applications that make the use of conventional
approaches difficult or impossible.
This edited volume brings together scholars positioned in and
outside of China, including former Chinese journalists, in a
comprehensive and in-depth study of Chinese investigative
journalists' dreams, work practices, and strategies. It is the
first book that systematically addresses the roles and values of
Chinese investigative journalists in different types of media, in
the process addressing topics such as journalism education,
different generations and sub-groups among investigative
journalists, and gendered roles within investigative journalism.
The book discusses journalists' relations with the state and issues
of political control and censorship but seeks to unpack the state
by looking at different administrative levels, institutions and
geographical locations. Furthermore, the authors acknowledge and
analyze how investigative journalism today is shaped, constrained
and negotiated through contacts with other actors than the state,
including companies, civil society, and the audience. The book
sheds light on the possibilities and restrictions for more critical
journalism in an authoritarian regime.
The book aims to exemplify the recent developments in operad
theory, in universal algebra and related topics in algebraic
topology and theoretical physics. The conference has established a
better connection between mathematicians working on operads (mainly
the French team) and mathematicians working in universal algebra
(primarily the Chinese team), and to exchange problems, methods and
techniques from these two subject areas.
This book offers in-depth insights into the rapidly growing topic
of technologies and approaches to modeling fuzzy spatiotemporal
data with XML. The topics covered include representation of fuzzy
spatiotemporal XML data, topological relationship determination for
fuzzy spatiotemporal XML data, mapping between the fuzzy
spatiotemporal relational database model and fuzzy spatiotemporal
XML data model, and consistencies in fuzzy spatiotemporal XML data
updating. Offering a comprehensive guide to the latest research on
fuzzy spatiotemporal XML data management, the book is intended to
provide state-of-the-art information for researchers,
practitioners, and graduate students of Web intelligence, as well
as data and knowledge engineering professionals confronted with
non-traditional applications that make the use of conventional
approaches difficult or impossible.
This innovative book provides new perspectives on the globalization
of knowledge and the notion of hegemonic sciences. Tying together
contributions of authors from all across the world, it challenges
existing theories of hegemonic sciences and sheds new light on how
they have been and are being constructed. Examining more closely
the notions of 'human rights' and 'individualization', this
much-needed volume offers new and alternative ideas on how to
transform the universalization of the Western model of science and
can serve as an eye-opener for all those interested in
non-hegemonic scientific discourse. This book is published within
the Series 'Beyond the Social Sciences'.
Tai Chi, a Chinese martial art developed based on the laws of
nature, emphasises how 'to conquer the unyielding with the
yielding.' The recent observation of star formation shows that
stars result from the interaction between gravity, turbulence and
magnetic fields. This interaction again follows the natural rules
that inspired Tai Chi. For example, if self-gravity is the force
that dominates, the molecular cloud will collapse isotropically,
which compresses magnetic field lines. The density of the yielding
field lines increases until magnetic pressure reaches the critical
value to support the cloud against the gravitational force in
directions perpendicular to the field lines (Lorentz force). Then
gravity gives way to Lorentz force, accumulating gas only along the
field lines till the gas density achieves the critical value to
again compress the field lines. The Tai Chi goes on in a self
similar way.
The conventional surveillance methods used in ITS to detect
real-time traffic data, e.g. video image processing and inductive
loops detection, have several shortcomings, such as limited
coverage and high costs of implementation and maintenance. Wireless
Sensor Networks (WSNs) offer the potential of providng real-time
traffic data without these drawbacks. Hence, in the past decade,
WSNs have been applied to ITS to improve the performance of ITS.
Controlling traffic lights plays a key role in ITS. We investigate
how to design methods and algorithms for adaptive traffic light
control in a WSN-based ITS. We propose models and schemes for
adaptive traffic light control for both isolated intersections and
multiple intersections. The proposed approaches take advantage of
real-time traffic information collected by WSNs to achieve high
system throughput, low waiting time and few stops for the vehicles.
We have implemented the proposed schemes on our testbed for
Intelligent Services with WSNs, iSensNet to evaluate and
demonstrate the performance. Our experimental results show that our
approaches can deal with different traffic conditions in an
effective manner.
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