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ICEIS 2004 - Proceedings of the Sixth International conference on Enterprise Information Systems

作者： Badjio, Edwige Fangseu Poulet, François ESIEA Recherche Parc Univ. Laval-Changé 38 rue des Docteurs Calmette et G. 53000 Laval

ISBN: (纸本)9728865007

Visual data mining is a field of research which needs knowledge from several domains: statistics, data analysis, machine learning, artificial intelligence, human-machine interfaces, data or information visualization. We are interested in visual data mining environment usability (man-machine interaction quality). This paper investigates how usability aspects can be incorporated in visual data mining environment so that usability can be taking into account during the design process of the tool without prototype evaluation tests which are time consuming at design stage. We have defined and we present here a set of criteria for improving visual data mining tools usability.

关键词： data mining

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visualization as a solution aid for multi-objective concurrent subspace optimization in a multidisciplinary design environment

Visualization as a solution aid for multi-objective concurre...

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Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary analysis and Optimization conference

作者： Huang, Chen-Hung Bloebaum, C.L. Department of Mechanical and Aerospace Engineering University at Buffalo

ISBN: (纸本)1563477165

An important consideration for large-scale multidisciplinary multi-objective problems pertains to the increasing large amounts of data being generated during the optimal design process. As computing power has advanced, design problems that can be modeled and analyzed have grown in numerical size, dimensionality, and complexity. As a result, engineers often face large and complex datasets. Traditionally, design information has been passed as numerous pages of printed data or in spreadsheet form. It is not always an easy task or even a practical one to analyze such large amounts of data. Therefore, it has become more crucial to develop new methods and tools to understand and interpret complex datasets. visualization has proven to be a valuable tool in providing the needed increased understanding. In this paper, the Multi-Objective Pareto Front visualization (MOPFV) interface, tailored for the Multi-Objective Concurrent Subspace Optimization methods developed in previous work, is proposed to enable such a need as mentioned above. This paper demonstrates how the interface can be used as an aid during the multi-objective optimization solution process.

关键词： Optimization

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Special sessions on petrotechnical visualization a point of (3D) view on visualization

Special sessions on petrotechnical visualization a point of ...

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Offshore Technology conference 2004, OTC 2004

作者： Thomson, James A. Poupon, Manuel N. BP United States Shell International e and P United States

ISBN: (纸本)9781615679713

The AAPG-sponsored Special Session: Petrotechnical visualization consists of back-to-back morning and afternoon sections with seven presentations per section. Each author will offer a dynamic, interactive presentation such as a live fly-through of marine datasets. The common themes throughout the Special Session are: • Integration of multiple data types for greater understanding of offshore technical challenges, • Positive impact of visualization techniques on business performance. Authors from large and small operating companies, academia and industry contractors will present topics covering upstream geoscience and engineering interest areas from pre-exploration seabed surveys through drilling, reservoir visualization, infield facilities layout and export pipeline planning and installation. Geographically, the talks will feature case studies from several basins (West Africa[4], Columbus-Trinidad[8], Lake Maracaibo-Venezuela[9] and Gulf of Mexico[2,4,13]), where 3D visualization techniques have played a key role in successful E & P projects. The morning section highlights presentations concerning geohazards and seafloor visualization, plus other petrotechnical areas. Specific topics include visualization of multibeam sonar data[1], reducing risk from seafloor hazards[2,4], integration of autonomous underwater vehicle (AUV) datasets[3], assessment of shallow drilling hazards and visualization used in analysis of a deepwater pipelay[5,6] with incidental discovery of a historical ship wreck[7]. Following the morning presentations focused on drilling/geo-hazards and pipeline routing, the second session on "Petrotechnical visualization" will illustrate how 3D visualization tools have been allied to state-of-the-art technologies (e.g. Neural-Network seismic classification[8,9,13]and tomography-based pore pressure prediction[11]). Overall, the presentations will cover the complete range of the E&P cycle from new play development[8], mature field exploitation[9,13], pore pr

关键词： visualization

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Effects of frame rate for visualization of dynamic quantitative information in a head-mounted display

Effects of frame rate for visualization of dynamic quantitat...

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2004 IEEE International conference on Systems, Man and Cybernetics, SMC 2004

作者： Lai, Whung Yee Duh, Henry Been-Lirn Ctr. for Hum. Factors and Ergonomics Sch. of Mech. and Prod. Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)0780385667

Augmented reality overlays computer generated imagery onto the real world to enhance a person's perception of the world. However the perceptual problems in augmented reality and virtual reality systems may affect human performance in information visualization. With improvements in technology, it is now easy to make use of motion to visualize change of quantitative data. Past studies have shown that representational momentum can influence the judged final position of a moving target. This study investigated human performance in visualizing dynamic quantitative information in augmented reality and virtual reality environments. Twenty-four subjects participated the experiment to estimate the percentage change of vibrating bar charts. Experimental results showed that subjects performed significantly different in different speed and percentage change. Visual momentum might affect the accuracy of estimation in visualizing dynamic quantitative information. © 2004 IEEE.

关键词： Information analysis

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Diagnostics and surveillance methods in nuclear systems for real-time applications

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REAL-TIME SYSTEMS 2004年第1期27卷 97-113页

作者： Pázsit, I Chalmers Univ Technol Dept Reactor Phys SE-41296 Gothenburg Sweden

This paper reviews some process signal analysis and representation methods that can be used during reactor operation such that they are suitable for real-time applicatons. All listed methods have been tested on data from operating plant. The objective is to detect and interpret changes in the plant or core status at an early stage, such that appropriate measures can be taken immediately. The methods that are discussed and demonstrated in the paper can be divided into two categories. The first is the use of fast and intelligent computing methods such as neural networks and fast wavelet transform, in combination with a diagnostic unfolding procedure which would be computationally rather demanding with traditional methods. The second type is based on direct representation of the system state through visualization of large complex data, showing the space time behavior of the system. This latter is not associated with any unfolding procedure, it uses only a moderate signal preprocessing for filtering out redundant information, but otherwise showing the process status directly. Such methods have been made possible with the development of powerful computer visualization techniques. The potentials represented by this second alternative do not seem to have been explored fully yet in reactor diagnostics. Methods corresponding to both categories will be demonstrated and discussed in the paper.

关键词： neutron noise diagnostics surveillance impacting vibrations wavelets instability visualization on-line

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Empirical heat transfer models of single- and multiple-nozzle spray cooling for electronics

Empirical heat transfer models of single- and multiple-nozzl...

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Proceedings of the ASME Heat Transfer/Fluids Engineering Summer conference 2004, HT/FED 2004

作者： Shedd, Timothy A. Pautsch, Adam G. Multiphase Flow Visualization and Analysis Laboratory Department of Mechanical Engineering University of Wisconsin-Madison Madison WI 53706 United States

The performance of single- and four-nozzle spays for high heat flux electronics cooling using nitrogen-saturated FC-72 was evaluated in this study. The testing was performed using a multichip module (MCM) test setup, similar to MCM's used in current high-end computer systems. The MCM contained eight test chips;four of these were cooled by single-nozzle sprays and four by four-nozzle sprays simultaneously. The swirl-atomizing, full-cone spray nozzles were incorporated into a production spray plate and were positioned about 6 mm above the test chips. An additional facility was constructed for visualization of the sprays and heat transfer behavior using clear heating elements coated with an indium titanium oxide (ITO) film. Using both the heat transfer and visualization data, it was determined that the heat transfer could be broken down into two or three components: a dominant single-phase component in and around the spray impact, a two-phase liquid film boiling component in the corners away from the spray impact, and, for the multiple-nozzle sprays, a single-phase drainage flow component. Multi-part empirical models were generated based on this conceptual model, and the correlations predict the data to within 5%. In addition, a phenomenological critical heat flux (CHF) model was generated based on previous work with thin liquid-film boiling that suggests CHF in thin films occurs due to a homogeneous nucleation mechanism. This model predicts the current data to within 12% for both single- and four-nozzle arrays. Copyright © 2004 by ASME.

关键词： Cooling

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Heterogenous data fusion via a probabilistic latent-variable model

Heterogenous data fusion via a probabilistic latent-variable...

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17th International conference on Architecture of Computing Systems (ARCS 04)

作者： Yu, K Tresp, V Siemens Corp Technol Informat & Commun D-81730 Munich Germany

ISBN: (纸本)3540212388

In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on heterogeneous user interfaces. This calls for adaptive data representations keeping as much relevant information as possible while keeping the representation as small as possible. Typically, the gathered data can be high-dimensional vectors with different types of attributes, e.g. continuous, binary and categorical data. In this paper we present - as a first step - a probabilistic latent-variable model, which is capable of fusing high-dimensional heterogenous data into a unified low-dimensional continuous space, and thus brings great benefits for multivariate data analysis, visualization and dimensionality reduction. We adopt a variational approximation to the likelihood of observed data and describe an EM algorithm to fit the model. The advantages of the proposed model are illustrated on toy data and used on real-world painting image data for both visualization and recommendation.

关键词： data fusion

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Dimensionality reduction of hyperspectral imaging data using local principal components transforms

Dimensionality reduction of hyperspectral imaging data using...

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conference onAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X

作者： Manolakis, D Marden, D MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)081945348X

The spectral exploitation of hyperspectral imaging (HSI) data is based on their representation as vectors in a high dimensional space defined by a set of orthogonal coordinate axes, where each axis corresponds to one spectral band. The larger number of bands, which varies from 100-400 in existing sensors, makes the storage, transmission, and processing of HSI data a challenging task. A practical way to facilitate these tasks is to reduce the dimensionality of HSI data without significant loss of information. The purpose of this paper is twofold. First, to provide a concise review of various approaches that have been used to reduce the dimensionality of HSI data, as a preprocessing step for compression, visualization, classification, and detection applications. Second, we show that the nonlinear and nonnormal structure of HSI data, can often be more effectively exploited by using a nonlinear dimensionality reduction technique known as local principal component analyzers. The performance of the various techniques is illustrated using HYDICE and AVIRIS HSI data.

关键词： principal component analysis hyperspectral imaging data compression data visualization HYDICE AVIRIS

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Mining fuzzy conceptual clusters and constructing the fuzzy conceptual frame lattices

Mining fuzzy conceptual clusters and constructing the fuzzy ...

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6th conference on data Mining and Knowledge Discovery

作者： Narang, V Kumar, N Univ Delhi Dept Comp Sci Delhi 110007 India

ISBN: (纸本)0819453560

The key idea here is to use formal concept analysis and fuzzy membership criterion to partition the data space into clusters and provide knowledge through fuzzy lattices. The procedures, written here, are regarded as mapping or transformation of the original space (samples) onto concepts The mapping is further given the fuzzy membership criteria for clustering from which the clustered concepts of various degrees are found. Bucket hashing measure has been used as a measure of similarity in the proposed algorithm. The concepts are evaluated on the basis of this criterion and then they are clustered. The intuitive appeal of this approach lies in the fact that once the concepts are clustered, the data analyst is equipped with the concept measure as well as the identification of the bridging points. An interactive concept map visualization technique called Fuzzy Conceptual Frame Lattice or Fuzzy Concept Lattices is presented for user-guided knowledge discovery from the knowledge base.

关键词： Mining Fuzzy logic Knowledge discovery visualization

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Spring conference on Computer Graphics, SCCG 2004 - conference Proceedings

Spring Conference on Computer Graphics, SCCG 2004 - Conferen...

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Spring conference on Computer Graphics, SCCG 2004

ISBN: (纸本)1581139144

The proceedings contain 26 papers. The topics discussed include: space-time modeling and analysis;exploiting temporal coherence in global illumination;fast time-dependent isosurface extraction and rendering;XML visualization using tree rewriting;morphing of meshes with attributes;adaptive mesh subdivision for precomputed radiance transfer;capturing optical properties of paint polymerization;seamlessly integrated distributed shared virtual environments;silhouette rendering based on stability measurement;improved compression of topology for view-dependent rendering;SVG rendering of real images using data dependent triangulation;image analysis by analogy with Taylor expansion;and visibility criterion for planar faces in 4D.

关键词： Computer graphics

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