A scalable virtual environment for large scale scientific data analysis

Rantzau, Dirk; Lang, Ulrich

doi:10.1016/s0167-739x(98)00025-9

Cited by 17 publications

(4 citation statements)

References 10 publications

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“…58 This limitation is no longer the case with virtual environments able to be used across a broad spectrum of visualization tools such as VE-Suite. 59 The virtual environment though will continue to evolve from a strict visualization tool and begin to include haptic interfaces that provide a kinesthetic link between an operator and the environment.…”

Section: Virtual Environments and Virtual Engineeringmentioning

confidence: 99%

“…60,61 Additionally these environments have a varied range of applications from gaming such as Second Life to data analysis. 62 Young et al 63 works to develop an interactive narrative with a three dimensional virtual environment in order to receive cognitive responses from the user. Winsberg 64 works to define simulations and experiments in the virtual world through construction of local models.…”

Section: Virtual Environments and Virtual Engineeringmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Computational Environments for Engineering

Sloan

McCorkle

Bryden

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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The integrated computational environment has remained some sort of a unicorn since it was first postulated in the 1960's. Some of the most important components to these environments are used in their own stand alone systems such as problem solving environments, model integration frameworks, and virtual environments. Characteristics of these systems have been identified creating a checklist upon which these and other environments can be compared in order to determine the actuality of integrated computational environment. Finally, the future of integrated computational environments are discussed including the ancillary components that will soon be included that create a complete design envelope within one single virtual space. Disciplines Mechanical Engineering CommentsThis is a preprint of a proceeding from the 51st AIAA Aerospace Sciences Meeting, doi:10.2514/6.2013-285. The integrated computational environment has remained some sort of a unicorn since it was first postulated in the 1960's. Some of the most important components to these environments are used in their own stand alone systems such as problem solving environments, model integration frameworks, and virtual environments. Characteristics of these systems have been identified creating a checklist upon which these and other environments can be compared in order to determine the actuality of integrated computational environment. Finally, the future of integrated computational environments are discussed including the ancillary components that will soon be included that create a complete design envelope within one single virtual space.

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Section: Virtual Environments and Virtual Engineeringmentioning

confidence: 99%

Section: Virtual Environments and Virtual Engineeringmentioning

confidence: 99%

An Overview of Computational Environments for Engineering

Sloan

McCorkle

Bryden

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

View full text Add to dashboard Cite

show abstract

“…The integrated VR renderer, called COVER, allows collaborative data analysis within immersive environments. COVER has been applied to the steering of an ongoing simulation in the area of water turbine optimization [32]. During the simulation, boundary conditions can be modified, such as altering the velocity of the incoming water stream by adjusting the angle of the turbine blades.…”

Section: Computational Collaboratoriesmentioning

confidence: 99%

Collaborative computational steering: Principles and application in HVAC layout

Borrmann

Wenisch

Treeck

et al. 2006

ICA

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In this article, we present the Collaborative Computational Steering platform CoCoS. It enables geographically distributed engineers to use steerable simulation and analysis facilities during a collaborative design session. The environment is based on a distributed component architecture composed of a central Collaboration Server, an arbitrary number of Simulation Servers and an arbitrary number of clients. The Collaboration Server manages the shared model consisting of a three-dimensional geometric model and additional semantic data like boundary conditions for a certain simulation. The Simulation Servers provide simulation and analysis data for the engineer's front-end application and can be connected to the platform on demand. By using the explicitly available meta-model, the shared model can be dynamically adapted to the needs of simulation facilities that are not known a-priori. Exemplarily, the utilization of the CoCoS platform for the collaborative layout of a Heating Ventilation AirConditioning (HVAC) system is shown. In this context, the implementation and integration of an interactively steerable fluid simulator based on the lattice-Boltzmann method is discussed. This simulator allows obstacles to be inserted into the fluid domain, relocated, and removed from it during the simulation process and the impact of these modifications on the fluid flow to be seen immediately.

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“…Standard audio/video conferencing facilities are used for discussion support. The scalable approach of COVISE allows single workstation desktop usage as weil as multi-site networked collaboration including back projection based VR equipment (Rantzau, 1996), (Rantzau, 1998). A screen snaphot of a COVISE session involving three partners can be seen in plate 1:…”

Section: Covisementioning

confidence: 99%

An Integrated Software Architecture for Rapid Product Development Processes

Eck

Nogge²,

Rantzau

et al. 1998

Globalization of Manufacturing in the Digital Communications Era of the 21st Century

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In the complex process of product development, the ongoing distribution of processes and globalization of markets force companies to implement means of cooperation between partners at remote sites and coordination of tasks. In this paper we describe a distributed software architecture which provides an integrated set of tools for a wide range of Rapid Product Development processes. The centrat component is an active knowledge base called ASN (Active Semantic Network) which is used as shared data repository and team process coordination and upon which the other components of the system operate. The seenarios described are coming from the car manufacturing area ranging from collaborative development

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A scalable virtual environment for large scale scientific data analysis

Cited by 17 publications

References 10 publications

An Overview of Computational Environments for Engineering

An Overview of Computational Environments for Engineering

Collaborative computational steering: Principles and application in HVAC layout

An Integrated Software Architecture for Rapid Product Development Processes

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