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. 

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