|
Showing 1 - 5 of
5 matches in All Departments
This is an open access book reporting the results of nine years
research of the International Research Training Group (IRTG) 2057,
funded by the German Research Foundation (DFG). The IRTG is a joint
venture between the TU Kaiserslautern, the University of
California Berkeley, and University of California Davis. The
book is content-driven mainly by two disciplines: engineering and
computer science. Through the application of scientific knowledge
and advanced computer-based methods in conjunction with physical
models on a level unrealized in the past, technologies and methods
are promoted, which can be used for planning and optimization of
manufacturing systems and processes. As a result, fundamental
understanding as well as extensive systems, tools and computational
algorithms, which significantly improve the integration of advanced
computational methods for solving problems of manufacturing systems
and processes will be available. This open access book is of
interest to any researcher dealing with process and factory
planning in manufacturing, like for cutting and additive
manufacturing.
This book provides an overview of the emerging field of in situ
visualization, i.e. visualizing simulation data as it
is generated. In situ visualization is a processing paradigm
in response to recent trends in the development of high-performance
computers. It has great promise in its ability to access
increased temporal resolution and leverage extensive computational
power. However, the paradigm also is widely viewed as limiting when
it comes to exploration-oriented use cases. Furthermore, it
will require visualization systems to become increasingly complex
and constrained in usage. As research efforts on in situ
visualization are growing, the state of the art and best practices
are rapidly maturing. Specifically, this book contains chapters
that reflect state-of-the-art research results and best practices
in the area of in situ visualization. Our target audience are
researchers and practitioners from the areas of mathematics
computational science, high-performance computing, and computer
science that work on or with in situ techniques, or desire to
do so in future.Â
This is an open access book reporting the results of nine years
research of the International Research Training Group (IRTG) 2057,
funded by the German Research Foundation (DFG). The IRTG is a joint
venture between the TU Kaiserslautern, the University of
California Berkeley, and University of California Davis. The
book is content-driven mainly by two disciplines: engineering and
computer science. Through the application of scientific knowledge
and advanced computer-based methods in conjunction with physical
models on a level unrealized in the past, technologies and methods
are promoted, which can be used for planning and optimization of
manufacturing systems and processes. As a result, fundamental
understanding as well as extensive systems, tools and computational
algorithms, which significantly improve the integration of advanced
computational methods for solving problems of manufacturing systems
and processes will be available. This open access book is of
interest to any researcher dealing with process and factory
planning in manufacturing, like for cutting and additive
manufacturing.
This book provides an overview of the emerging field of in situ
visualization, i.e. visualizing simulation data as it is generated.
In situ visualization is a processing paradigm in response to
recent trends in the development of high-performance computers. It
has great promise in its ability to access increased temporal
resolution and leverage extensive computational power. However, the
paradigm also is widely viewed as limiting when it comes to
exploration-oriented use cases. Furthermore, it will require
visualization systems to become increasingly complex and
constrained in usage. As research efforts on in situ visualization
are growing, the state of the art and best practices are rapidly
maturing. Specifically, this book contains chapters that reflect
state-of-the-art research results and best practices in the area of
in situ visualization. Our target audience are researchers and
practitioners from the areas of mathematics computational science,
high-performance computing, and computer science that work on or
with in situ techniques, or desire to do so in future.
Diplomarbeit aus dem Jahr 2005 im Fachbereich Touristik /
Tourismus, Note: 1,3, Gottfried Wilhelm Leibniz Universitat
Hannover (Geowissenschaften und Geographie), Sprache: Deutsch,
Abstract: Inhaltsangabe: Zusammenfassung: Die vorliegende Arbeit
basiert auf der Idee, dass in langfristiger Perspektive die
touristische Nutzung von Schutzgebieten kontinuierlich und
letztlich erheblich ansteigen wird. Daraus folgt fur das Management
von Schutzgebieten, dass in Zukunft eine Begrenzung der
Besucherzahlen unumganglich werden wird. Die Arbeit behandelt
demnach die Frage, wie unter okologischen Gesichtspunkten eine
maximale Besucherzahl fur ein Gebiet ermittelt, bzw. die Hohe einer
Besucherbegrenzung festgesetzt werden kann. Dabei werden zur
Beantwortung dieser Frage drei unterschiedliche Ansatzpunkte
verfolgt. Zum einen wird der gegenwartige Stand der
Tragfahigkeitsforschung auf mogliche Methoden und Ansatze zur
Bestimmung einer maximalen Besucherzahl hin untersucht. Zum anderen
werden Erkenntnisse der recreation ecology, insbesondere zum
Zusammenhang zwischen Besucherzahl und auftretender okologischer
Belastung, benutzt, um aus der Definition von Belastungsgrenzen die
Grenzen der touristischen Nutzung abzuleiten. Drittens werden
vorhandene Konzepte zur Begrenzung der Besucherzahl auf die dabei
verwendeten Methoden untersucht, um so erfolgreiche Vorgehensweisen
und mogliche Richtwerte fur Besucherbegrenzungen zu erhalten. Trotz
der langen Geschichte der Tragfahigkeitsforschung bietet diese nur
begrenzte Ansatze zur Beantwortung der Frage. Die in diesem Rahmen
aufgestellten Methodenkonzepte zur Bestimmung der okologischen
Tragfahigkeit sind alle als nicht anwendbar zu bewerten. Innerhalb
der vielfaltigen Untersuchungen der recreation ecology wurde dem
Zusammenhang zwischen Besucherzahl und verursachter Belastung nur
vergleichsweise wenig Aufmerksamkeit geschenkt. Aus diesen Arbeiten
kann geschlossen werden, dass dieser Zusammenhang, wenn uberhaupt,
dann nur fur konkrete Einz
|
|