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Comprehensive mine data integration and immersive 3d data visualization at goldcorp inc. Red lake mine

Comprehensive mine data integration and immersive 3d data vi...

引用

14th International Symposium on Mine Planning and Equipment Selection, MPES 2005 and the 5th International conference on Computer Applications in the Minerals Industries, CAMI 2005

作者： Wang, J. Hinton, E. Michael, P. Twomey, T. Jucheng Goldcorp Inc. Red Lake Mine Balmertown ON P0V 1C0 Canada Goldcorp Inc. Red Lake Mine Balmertown ON Canada

Mining is a complicated operation. There are many fields involved in mining ranging from exploration, engineering operations to environmental aspects. With the advancement of information technologies and mining industry operating techniques, the success of a mining operation is largely dependent on a group's ability to collect, manage, integrate, utilize available data sets and information, and draw the right conclusions. With the establishment of the world's first mine site virtual reality (VR) studio at Goldcorp's Red Lake Mine, the comprehensive data integration and immersive 3D data visualization have been completed at the mine. The advantages of this type of data processing have been well demonstrated and the initial benefits are significant. This paper presents the mine data integration and comprehensive data visualization at the Red Lake Mine by using a powerful, state-of-the-art technology - virtual reality. It reveals that the VR studio is not only a tool for visualizing mine information to help geologists/engineers view and understand mine engineering data, but it is also a powerful tool for mine data integration, modeling and analysis of disparate but available information. These allow professionals from different departments or disciplines to discuss, coordinate and optimize their plans and designs. VR allows mine operations to instantly see the financial impact of their decisions on mine safety, environment, direction of exploration drillholes, ore grade and excavation rates, mine plans, ground control methods, stress and seismicity, physical placement of stopes, ramps and other structures, as well as infrastructure, and engineering and human resources scheduling. The strategies for data integration and the data visualization VR operating framework are discussed in this paper. Examples are also given to show the power resulting from data integration and the power of VR on engineering applications.

关键词： data integration

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Grid-based collaboration in interactive data language applications

Grid-based collaboration in interactive data language applic...

引用

International conference on Information Technology - Coding and Computing

作者： Wang, MJ Fox, G Pierce, M Syracuse Univ Dept EECS Syracuse NY 13244 USA

ISBN: (纸本)0769523153

Interactive data Language (IDL) is an array-oriented data analysis and visualization application, which is widely used in research, commerce, and education. It is meaningful to make user IDL applications collaborative between computers over networks, using a common message broker as the underlying communication system. In order to achieve the global collaboration, we have brought together in the research a Grid-based Collaboration paradigm, a Shared Event model, different implementing structures, methodologies and technologies. We have succeeded in our prototype codes, and we are currently working on a real life IDL application package to make it collaborative. At the same time, we are trying to find better structures and methods for the collaboration in general user IDL applications.

关键词： data acquisition

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MS-analyzer: Intelligent preprocessing, management, and data mining analysis of mass spectrometry data on the grid

MS-analyzer: Intelligent preprocessing, management, and data...

引用

1st International conference on Semantics, Knowledge and Grid, SKG 2005

作者： Cannataro, Mario Guzzi, Pietro H. Mazza, Tommaso Veltri, Pierangelo Università Magna Græcia di Catanzaro Italy

ISBN: (纸本)0769525342

The analysis of Mass Spectrometry proteomics data requires the combination of large storage systems, effective preprocessing techniques, and data mining and visualization tools. The collection, storage and analysis of huge mass spectra produced in different laboratories can leverage the services of Computational Grids, that offer efficient data transfer primitives, effective management of large data stores, and large computing power. The paper presents a software platform that uses ontologies and workflows to combine spectra preprocessing tools, efficient spectra management techniques, and off-the-shelf data mining tools to analyze proteomic s data on the Grid. Architecture and performance evaluation are presented. © 2006 IEEE.

关键词： data reduction

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visualization in the earth sciences: A discussion on various visualization methods using amira®

Visualization in the earth sciences: A discussion on various...

引用

VIS 05: IEEE visualization 2005, Proceedings

作者： Wang, S.M. Damon, M. Yuen, D.A. Minnesota Supercomputer Institute Department of Geology and Geophysics University of Minnesota Minneapolis MN

ISBN: (纸本)0780394623

It is widely acknowledged that an important aspect in Earth Science research is the ability to visualize huge amounts of data resulting from numerical simulations or data acquisition. Whether the data is a simple two-dimensional plot or a three-dimensional multivariate grid, the ability to visualize the data is imperative for researchers to properly demonstrate results. This poster will examine various visualization techniques of the software package, amira® (***) with respect to three research projects. These projects are: a mantle convection simulation run on the Earth Simulator;a spherical harmonic model computed at the University of Minnesota's Supercomputing Institute;an upper mantle study of earthquake-generated shear waves down to 660 km obtained through computed tomography using seismogram data from the Incorporated Research Institutions for Seismology (IRIS). The data resulting from the mantle convection study is in the form of a regular cartesian grid consisting of various field parameters such as temperature, velocity and viscosity. Techniques employed to view these fields include but are not limited to volume rendering, illuminated streamlines and oblique slices. The spherical harmonics model is rendered as a volume and is also explored using an isosurface module. The upper mantle study is visualized using an oblique slice technique and also isosurfaces. An analysis of the benefits and drawbacks of various amira® modules in regard to the above projects will not only result in a better understanding of the data, but will also demonstrate the unique capabilities of the different techniques and how they can be best applied to specific problems in the Earth Sciences. © 2005 IEEE.

关键词： Earth sciences

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The research of data mining based on extension sets

The research of data mining based on extension sets

引用

3rd International conference on Information Technology and Applications

作者： Lu, Q Yu, YQ Guangdong Univ Technol Inst Intelligent Engn Guangzhou 510090 Peoples R China

ISBN: (纸本)0769523161

Extension data mining is a new method that is based on the extension analysis method of Extenics. Extenics is a new disciplinary and a new branch of arfiticial intelligence. data mining techniques have their origins in methods from statistics, pattern recognition, databases, artificial intelligence, high performance and parallel computing and visualization. This paper presents how to deal with multiple data formats and unify data representation based on extenics. Keyword: matter-element, databases, extension data mining, association rules.

关键词： matter-element databases extension data mining association rules

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GAVis: A tool for visualization and control of genetic algorithms for -omic data analysis

GAVis: A tool for visualization and control of genetic algor...

引用

27th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Stokes, Todd H. Phan, John H. Feng, Weimin M. Tuteja, Gaurav Wang, May D. Georgia Inst Technol Wallace H Coulter Biomed Engn Dept Atlanta GA 30332 USA

ISBN: (纸本)0780387406

A visualization and steering application, GAVis, has been developed to aid in understanding the behavior of and guiding the convergence of genetic algorithms running in parallel over long time periods. When classification techniques such as Support Vector Machines (SVMs) paired with complete leave-one-out validation are used as a fitness function for identification of markers inomic data, the time to complete one generation can exceed an hour on modern high-performance computing clusters. Separate solution populations on "islands" can help maintain a more diverse solution space and conveniently map to compute nodes on a cluster. Adjustments can be made at runtime to speed the convergence of genetic algorithms by stimulating lagging island populations with migrations of high-performing individuals or by selectively increasing mutation rates.

关键词： Genetic algorithms

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Knowledge base system visualization reasoning model based on ICON

Knowledge base system visualization reasoning model based on...

引用

conference on data Mining, Intrusion Detection, Information Assurance and data Networks Security 2005

作者： Chen, DY Pei, SJ Quan, ZY Harbin Univ Sci & Technol Harbin 150080 Peoples R China

ISBN: (纸本)0819457973

Knowledge base system is one of the most future branches for artificial intelligence facing with practical application. But the reasoning process of system is invisible, not visual and users cannot intervene the reasoning process, therefore for users the system is only a black box. This condition causes many users to take a suspicious attitude to the conclusions analyzing and drawing from the system, that means even though the system has the explanation function, but it is still not far enough. If we adopt graph or image technique to display this reasoning procedure interactively and dynamically which can make this procedure be visual, users can intervene the reasoning procedure which can greatly reduce users' gain giving, and at the same time it can provide a given method for integrity check to knowledge of the knowledge base. Therefore, we can say that reasoning visualization of knowledge base system has a further meaning than general visualization. In this paper the visual problem of reasoning process for knowledge base system on the basis of the formalized analysis for ICON system, Icon operation, syntax and semanteme of the statement is presented, a reasoning model of knowledge base system that has a visual characteristics is established, the model is used to do an integrity check in practical expert system and knowledge base, better effect is got.

关键词： ICON system formalization of ICON system visualized reasoning

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SOVAT: Spatial OLAP visualization and analysis tool

SOVAT: Spatial OLAP visualization and analysis tool

引用

38th Annual Hawaii International conference on System Sciences, HICSS 2005

作者： Scotch, Matthew Parmanto, Bambang

Community health research is practiced with disparate independently used tools that by themselves do not allow for the type of comprehensive and thorough analysis needed for effective public health evaluation. The Spatial OLAP visualization and analysis Tool (SOVAT) is a new type of research application for community health assessments. SOVAT integrates into one system many of the necessary characteristics needed to make comprehensive community health decisions. By combining On-Line Analytical Processing (OLAP) with Geospatial Information System (GIS) capabilities, our system can handle large amounts of data, perform geospatial and statistical calculations, and then display this information in both a numerical and spatial view within the same interface. It is anticipated that this unique system will provide researchers with the ability to perform more comprehensive assessments while enabling for more informed public health decisions.

关键词： Systems science

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On vortical flow structures at wing stall and beyond

On vortical flow structures at wing stall and beyond

引用

35th AIAA Fluid Dynamics conference and Exhibit

作者： Zarutskaya, T. Arieli, R. Haifa 31021 Israel

ISBN: (纸本)9781624100598

This paper addresses detailed examination of the stalling properties of airfoils that start with trailing-edge separation and develop "stall cells" also referred as "mushroom" patterns. The occurrence of these three-dimensional, large-scale structures in the flow over a rectangular finite wing at high angles-of-attack was investigated numerically and experimentally. Wake total-pressure data and flow visualization data were acquired. Numerical analysis of the mean flow structure using the Reynolds Averaged Navier-Stokes (RANS) approach, not previously reported, reveals a highly complex flowfield with zones of massive reversed flow. The chord Reynolds number has a limited influence;the turbulence model has a quantitative effect without affecting the basic flow structure. Flow visualization results suggest that the three-dimensional separation structures might be unsteady, manifested in a clearly defined pattern of lateral (spanwise) irregular motion. © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Flow visualization

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COTS cluster-based sort-last rendering: Performance evaluation and pipelined implementation

COTS cluster-based sort-last rendering: Performance evaluati...

引用

IEEE visualization 2005 conference

作者： Cavin, X Mion, C Filbois, A Inria Lorraine France

ISBN: (纸本)0780394623

Sort-last parallel rendering is an efficient technique to visualize huge datasets on COTS clusters. The dataset is subdivided and distributed across the cluster nodes. For every frame, each node renders a full resolution image of its data using its local GPU, and the images are composited together using a parallel image compositing algorithm. In this paper, we present a performance evaluation of standard sort-last parallel rendering methods and of the different improvements proposed in the literature. This evaluation is based on a detailed analysis of the different hardware and software components. We present a new implementation of sort-last rendering that fully overlaps CPU(s), GPU and network usage all along the algorithm. We present experiments on a 3 years old 32-node PC cluster and on a 1.5 years old 5-node PC cluster, both with Gigabit interconnect, showing volume rendering at respectively 13 and 31 frames per second and polygon rendering at respectively 8 and 17 frames per second on a 1024 x 768 render area, and we show that our implementation outperforms or equals many other implementations and specialized visualization clusters.

关键词： cluster-based visualization sort-last rendering parallel image compositing

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