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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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An Interactive Bio-inspired Approach to Clustering and Visualizing datasets

An Interactive Bio-inspired Approach to Clustering and Visua...

引用

International conference on Information Visualisation (IV)

作者： Ugo Erra Bernardino Frola Vittorio Scarano Dipartimento di Matematica e Informatica Universitá della Basilicata Potenza Italy Dipartimento di Informatica Universitá di Salerno Fisciano Italy

In this work, we present an interactive visual clustering approach for the exploration and analysis of datasets using the computational power of Graphics Processor Units (GPUs). The visualization is based on a collective behavioral model that enables cognitive amplification of information visualization. In this way, the workload of understanding the representation of information moves from the cognitive to the perceptual system. The results enable a more intuitive, interactive approach to the discovery of knowledge. The paper illustrates this behavioral model for clustering data, and applies it to the visualization of a number of real and synthetic datasets.

关键词： Graphics processing unit Force Computational modeling Three dimensional displays data visualization Mice Clustering algorithms

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Architecture for integrated modeling, simulation and visualization of environmental systems using GIS and Cell-DEVS 11

Architecture for integrated modeling, simulation and visuali...

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Simulation Winter conference

作者： Mariano Zapatero Rodrigo Castro Gabriel Wainer Maysoun Houssein Departamento de Computación Universidad de Buenos Aires Buenos Aires Argentina Department of Systems and Computer Engineering Carleton University. Centre of Visualization and Simulation (V-Sim) Ottawa ONT Canada

Online Geographic Information Systems (GIS) and their associated data visualization technologies are playing an increasingly important role in providing updated information for environmental models. The analysis of simulation results are often benefited from their georeferenced animated visualization. We present an architectural web-based integration of the DCD++ distributed modeling and simulation framework as the centerpiece of a GIS-based scientific workflow to study environmental phenomena. We demonstrate an end-to-end application of the proposed architecture by means of a wildfire spreading model, backed by online updates of different parameters affecting the environmental system under study. Google Earth and GRASS are the two GIS systems selected to highlight the flexibility of the integrated system.

关键词： data models Geographic Information Systems Google data visualization Earth Computational modeling Analytical models

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OntoPlant: An integrated virtual plant software package for different scale applications

OntoPlant: An integrated virtual plant software package for ...

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2011 IEEE International conference on Spatial data Mining and Geographical Knowledge Services, ICSDM 2011 - In Conjunction with 8th Beijing International Workshop on Geographical Information Science, BJ-IWGIS 2011

作者： Tang, Liyu Chen, Chongcheng Zou, Jie Lin, Yuxin Lin, Ding Li, Jieguang Key Lab of Spatial Data Mining and Information Sharing of MOE Spatial Information Research Center of Fujian Fuzhou University Fuzhou 350002 China

ISBN: (纸本)9781424483495

OntoPlant is a virtual plant software package, which has been developed at Spatial Information Research Center of Fujian in Fuzhou University since 2002. The purpose of the software package is to provide an integrated software solution to realistic plant modelling, real-time scene rendering, growth simulation and applications at different scales from individual, stand (population, community) to landscape. Its key components are ParaTree, LSTree, VisForest, and ForestSIMA. The software package is implemented with VC, OpenGL Graphics standard, while ForestSIMA is also based on ArcGIS ArcObjects developer kit. ParaTree and LSTree are core of OntoPlant. They are used to build individual plant model. ParaTree combines geometric modelling and parameterized modelling. The shape characteristic of tree organ is depicted with a group of parameters, the values of parameters can be edited by interactive graphical parameter curve component tool. This tool provides friendly interface and intuitive interactive means, namely, what you see is what you get. The ParaTree can simulate realistic 3D plants at any age or season by modifying the parameters, pruning the tree. It is adaptive to simulate the architecture of tree. It doesn't require users to have much knowledge of biology. While the opposite is true for LSTree. LSTree is based on the theory of L-systems, which is faithful to the plant morphology and the physiological growth process. This system makes it possible to model the development of plants with efficiency and flexibility as a process of string rewriting. VisForest is a software platform for creating and editing 3D scenes. It allows the fusion of geospatial data (terrain, images) with 3D objects (plants and house) in a georeferenced environment, definition of 3D scene component, distribution density and form of plants. The ForestSIMA is an application designed to assist in landscape level analysis and planning of forest ecosystems by automating the tasks of stand project

关键词： visualization

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Interactive visualization in production control

Interactive visualization in production control

引用

International conference on Concurrent Enterprising

作者： Günther Schuh Christina Thomas Sascha Fuchs Till Potente Laboratory of Maschine Tools and Production Engineering WZL Aachen Germany

The key objective of this paper is to introduce interactive visualization principles which support the change process within companies regarding production structure and control topics. Therefore, the Laboratory for Machine Tools and Production Engineering (WZL) has developed several web-based solutions. Input data can be uploaded via a defined interface. Within the different kinds of analysis, the user can select the level of detail manually. The tools are divided into two groups: tools for structural visualization and tools for monitoring logistical targets. The core idea of these tools is to balance the need of structuring and control functions induced by external factors with the skills of the organization and control system.

关键词： Throughput Monitoring Production control Process control Companies data visualization

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Preference-based datacube analysis with MYOLAP

Preference-based datacube analysis with MYOLAP

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International conference on data Engineering

作者： Paolo Biondi Matteo Golfarelli Stefano Rizzi DEIS University of Bologna Bologna Italy

ISBN: (纸本)9781424489596

In this demonstration we present MYOLAP, a Java-based tool that allows OLAP analyses to be personalized and enhanced by expressing “soft” query constraints in the form of user preferences. MYOLAP is based on a novel preference algebra and a preference evaluation algorithm specifically devised for the OLAP domain. Preferences are formulated either visually or through an extension of the MDX language, and user interaction with the results is mediated by a visual graph-like structure that shows better-than relationships between different sets of data. The demonstration will show how analysis sessions can benefit from coupling ad-hoc preference constructors with the classical OLAP operators, and in particular how MYOLAP supports users in expressing preference queries, analyzing their results, and navigating datacubes.

关键词： Navigation databases Algebra visualization data visualization Economics data structures

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Demand-driven volume rendering of terascale EM data 11

Demand-driven volume rendering of terascale EM data

引用

ACM Special Interest Group on Computer Graphics and Interactive Techniques conference, SIGGRAPH'11

作者： Beyer, Johanna Hadwiger, Markus Jeong, Won-Ki Pfister, Hanspeter Lichtman, Jeff KAUST United States Harvard University United States

ISBN: (纸本)9781450309745

In neuroscience, a very promising bottom-up approach to understanding how the brain works is built on acquiring and analyzing electron microscopy (EM) scans of brain tissue, an area known as Connectomics. This results in volume data of extremely high resolution of 3--5nm per pixel and 25--50nm slice thickness, overall leading to data sizes of many terabytes [Jeong et al. 2010]. To support the work of neurobiologists, interactive exploration and analysis of such volumes requires novel visual computing systems because the requirements differ from those of current systems in several key aspects. In this talk, we describe the system that we are working on to enable neuroscientists to interactively roam terascale EM volumes and support their analysis. A major design principle was to avoid the standard approach of pre-computing a 3D multi-resolution hierarchy such as an octree. data acquisition proceeds from 2D image tile to 2D image tile, where not only the slices along the z axis are scanned independently, but each slice is itself acquired as many smaller image tiles. These images tiles need to be aligned and stitched, and neurobiologists also want to be able to combine different resolutions used for scanning different regions, without re-sampling everything to a single global resolution. Therefore, we focus on working directly with a stream of individual 2D image tiles, instead of a 3D volume that usually is assumed to exist in its entirety for visualization. We perform interactive volume rendering of a "virtual" volume, where the corresponding physical storage is only represented and populated in a sparse manner with 2D instead of 3D image data on the fly during rendering. Furthermore, these 2D image tiles can be of different resolution, scale, and orientation.

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Collaborative Augmented Reality Application for Information visualization Support

Collaborative Augmented Reality Application for Information ...

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International conference on Information Visualisation (IV)

作者： Edson Koiti Kudo Yasojima Bianchi Serique Meiguins Aruanda Simões Meiguins Universidade Federal do Para-UFPA Belem Parana Brazil Centro Universitário do Pará-CESUPA Belem Parana Brazil

In today's information systems, strategies for decision making and accurate results in a short time are crucial in many knowledge areas of industry, economic, medical etc.. To support this demand to store and interpret relevant information, the area of information visualization coupled with several others, such as intelligent systems and data mining, is increasingly taking place in academic research and market. Aiming to increase to level of interaction and accurate results, this article presents a collaborative augmented reality application for information visualization support.

关键词： Augmented reality data visualization Collaboration Image color analysis Context Three dimensional displays Usability

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Exploring the Origins of Tables for Information visualization

Exploring the Origins of Tables for Information Visualizatio...

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International conference on Information Visualisation (IV)

作者： Francis T. Marchese Computer Science Department Pace University NY NY USA

This paper considers the deep history of tables as visualization modalities. It covers four kinds of tables that have appeared between 1900 BCE and 1300 CE: Sumerian accounting tables, chronicles, canon tables, and medieval calendars as representations of some of the earliest milestones in information visualization. analysis of these tables demonstrates as early as 1300 BCE the need to visualize information had driven the invention of representations that transformed the way information has been communicated and used.

关键词： data visualization Calendars History Libraries Correlation Materials, elements, and compounds Technological innovation

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System for inspection of large high-resolution radiography datasets

System for inspection of large high-resolution radiography d...

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IEEE conference on Aerospace

作者： Tom Wypych So Yamaoka Kevin Ponto Falko Kuester San Diego Department of Computer Science and Engineering CalIT2 Center of Graphics Visualization and Virtual Reality (GRAVITY) University of California USA

High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid automated filtering, alignment, segmentation, characterization, and feature identification from image collections, the extraction of new insights still strongly depends on human intervention. In real-time capture and immediate-mode analysis environments where image data has to be continuously and interactively processed, a broad set of challenges in the image-driven verification and analysis cycle have to be addressed. A framework for interactive and intuitive inspection of large, high-resolution image data sets is presented, leveraging the strength of the human visual system for large-scale image processing. A case study is provided for an X-ray radiography system, covering the scanner-to-screen data management and representation pipeline, resulting in a visual analytics environment enabling analytical reasoning by means of interactive and intuitive visualization.

关键词： Imaging Inspection data visualization X-ray imaging Visual analytics Pixel Radar imaging

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Exploratory visualization for Weather data Verification

Exploratory Visualization for Weather Data Verification

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International conference on Information Visualisation (IV)

作者： Patrik Lundblad Hanna Lofving Annika Elovsson Jimmy Johansson Swedish Meteorological and Hydrological Institute Sweden C-Research Linköping University Sweden

Today weather forecasts assist in the preparation of roads during the winter season to avoid accidents resulting from snow, rain and slipperiness. As with any weather forecast there is always a search for improvement. One way to do this is by verifying the forecasted parameters with the actual weather observed in the forecasted area. To facilitate identification of significant trends and patterns within weather data we have developed an application based on interactive information visualization techniques. The application was created in close collaboration with domain experts from the Swedish Meteorological and Hydrological Institute and initial feedback from a performed user study shows that interactive visualization speeds up the analysis process as well as increases flexibility compared to currently used manual methods.

关键词： Weather forecasting Roads data visualization Temperature measurement Snow Lenses

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