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Scalable monitoring and configuration tools for grids and clusters

Scalable monitoring and configuration tools for grids and cl...

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Euromicro conference on Parallel, Distributed and Network-Based Processing

作者： P. Augerat C. Martin B. Stein INPG ID laboratory Grenoble France BULL INRIA ID laboratory Grenoble France Universidade Federal de Santa Maria Santa Maria Brazil

ISBN: (纸本)0769514448

We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Real use includes performance analysis of parallel applications and cluster administration. Ka-admin includes a generic "filter" module that processes monitored data independently of what they represent. Filters can remove, aggregate and transform data or pass them to external applications. The end user is responsible for activating the filters from within an interactive graphical interface. This allows him to focus on important information. We also present a "scatter/gather" module that allows efficient collection and distribution of data and commands in a large cluster. Early work on "MPI/threads" applications and system monitoring tools proved that the combination of both modules matches the objective of a scalable visualization of large data sets.

关键词： Computerized monitoring data visualization Laboratories Filters High performance computing Application software Scalability Performance analysis Aggregates Computer architecture

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Three-dimensional reconstruction of rat brain from autoradiographic images using image registration by maximization of mutual information

Three-dimensional reconstruction of rat brain from autoradio...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Jae Sung Lee Jin Su Kim Dong Soo Lee Kwang Suk Park Department of Radiology Division of Nuclear Medicine Johns Hopkins University School of Medicine Baltimore MD USA Department of Nuclear Medicine College of Medicine Seoul National University Seoul South Korea Department of Biomedical Engineering College of Medicine Seoul National University Seoul South Korea

ISBN: (纸本)0780376366

Autoradiographic image analysis is a powerful and dominantly used method for the quantitative analysis of radioisotope distribution in small animals. Three-dimensional reconstruction of the brain from serial sections of autoradiographic images allows volumetric visualization and analysis, coregistration with other 3D modalities, and anatomical standardization. We implemented an operating system and platform independent software in which the 3D reconstruction of the rat brain from the autoradiographic images using the image registration technique is possible. Image registration and a 3D reconstruction technique developed in this study would be useful for the quantitative analysis of the autoradiographic images.

关键词： Image reconstruction Image registration Mutual information Image analysis Biomedical imaging Animals Nuclear medicine Telephony Positron emission tomography data mining

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data mining information visualisation - beyond charts and graphs

Data mining information visualisation - beyond charts and gr...

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International conference on Information Visualisation (IV)

作者： N. Robinson M. Shapcott Faculty of Informatics University of Ulster Jordanstown UK

data mining has become a major academic research area over the last ten years. However, in the transition from academic prototypes to commercial products there have been few successes with commercial data mining applications failing to make any significant impact in the marketplace. In this paper it is argued that most data mining applications concentrate on the model-building phase of the data mining process and rarely engage the user in other stages. The paper reviews the challenges of producing successful data mining applications and in particular the role of information visualisation. Visualisation in data mining tends to be used to present final results, rather than playing an important part throughout the entire process. We argue that an immersive environment may provide the user with a more suitable interface than is commonly offered. We present a virtual data mining environment which attempts to integrate a data mining application interface and information visualisation in a seamless manner, using the concept of 'liquid data'.

关键词： data mining data visualization Business Informatics Application software Information technology Prototypes Virtual environment Visual databases Pattern analysis

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Analyzing the Research Hotspots and Trends in Crisis Leadership in the Big data Era —— A Bibliometric visualization analysis Based on WoSCC

Analyzing the Research Hotspots and Trends in Crisis Leaders...

引用

International conference on Big data and Information Analytics (BigDIA)

作者： Jiali Luo Qingqing Yang Guangda Liu College of Systems and Engineering National University of Defense Technology Changsha China

In order to comprehensively understand the development context and evolution trends of international crisis leadership research in the big data era, this study uses the journal papers retrieved from the Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI) databases of the Web of Science Core Collection (WoSCC) as the main data source, and with the help of visual analysis tool CiteSpace software, carries out a scientific literature metric analysis on the core authors, research countries, research institutions, publishing journals, theme keywords, and hotspot trends of international crisis leadership research. The series of knowledge maps are drawn. The results show that: ① The annual number of publications on crisis leadership research has experienced three stages: a slow growth period (2002-2008), a significant growth period (2009-2019), and a rapid growth period (2020-2023). The cumulative publication volume shows a continuous increase trend. ② The crisis leadership field research literature mainly comes from a few core author groups, and the research of core authors has laid the foundation for crisis leadership. ③ The United States ranks first among the countries conducting research on crisis leadership, followed by England, and China is the most productive country in Asia.

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TDV: Intelligent system for Thyroid Disease visualization

TDV: Intelligent system for Thyroid Disease Visualization

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International conference on Computing, Electronic and Electrical Engineering (ICE Cube)

作者： Jamil Ahmed Chandio Attaullah Sahito M. Abdul Rehman Soomrani Siraj Ahmed Abbasi Department of Computer Science Sukkur Institute of Business Administration Sukkur Pakistan Sukkur Institute of Business Administration Sukkur PK Department of Radiotherapy LINAR Cancer Hospital Larkana Pakistan

Recently; AI based methods are frequently used in healthcare industry to unfold historical hindsight to explore the insight and envisage the foresight. For example, identification of epidemiological patterns of thyroid disease in targeted area(s) supports healthcare industry stakeholders (government agencies, health organizations, NGOs, policy makers and so on) in formulating proper policies to combat such kind of fatal diseases. Also, predictive Future visualization (FV) of prevalence patterns of the thyroid disease is really helpful for these stakeholders to properly focus on specific area(s). This paper offers a system so called TDV: Intelligent System for Thyroid Disease visualization, which offers a potential surveillance pattern of thyroid disease to policy makers for next ten years (2013-2022) by presenting thyroid disease prevalence facts of past ten year (2002-2012). The methodology of our system comprises upon three main steps, in first step, we apply data preprocessing techniques. In second step; we construct the decision model using Time Series Regression (TSR) in R software, finally we visualized the results by using a geographic map plotted in Q-GIS. As per results of our approach, we conclude that thyroid disease may increase more than 15% for next ten years in age group 21-30 and female gender is more prone to be affected from thyroid disease.

关键词： Diseases Biochemistry data visualization Mathematical model Time series analysis Geographic information systems Smoothing methods

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Real-time reconstruction of wavelet encoded meshes for view-dependent transmission and visualization

Real-time reconstruction of wavelet encoded meshes for view-...

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IEEE International conference on Image Processing

作者： P. Gioia O. Aubault C. Bouville France Telecom R & D France

Wavelet methods for geometry encoding is a recently emerged superset of multiresolution analysis which has proven to be very efficient in term of compression and adaptive transmission of 3D content. The decorrelating power and space/scale localization of wavelets enable efficient compression of arbitrary meshes as well as progressive and local reconstruction. Recent techniques based on zerotree compression have shown to be among the best lossy mesh compression methods, while remaining compatible with selective transmission of geometric data at various level of detail. While some progressive reconstruction schemes have been proposed in the past, we show in this paper that this representation, recently proposed in the MPEG4 standard, can be efficiently used to perform real-time, view-dependent reconstruction of large meshes. The proposed system combines algorithms for local updates, cache management and server/client dialog. The local details management is an improvement of progressive reconstructions built on top of hierarchical structures. It enables fast, homogeneous accommodation and suppression of wavelet coefficients at any level of subdivision, with time complexity independent of the size of the reconstructed mesh. The cache structure wisely exploits the hierarchical character of the received data, in order to avoid redundant information transmission. The whole system enables the client to have total control on the quality of navigation according to its storage and processing capabilities, whatever the size of the mesh.

关键词： visualization Wavelet analysis Geometry Encoding Multiresolution analysis Decorrelation Propagation losses MPEG 4 Standard Wavelet coefficients Size control

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Multiresolution tetrahedral meshes: an analysis and a comparison

Multiresolution tetrahedral meshes: an analysis and a compar...

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International conference on Shape Modeling and Applications

作者： E. Danovaro L. De Floriani M. Lee H. Samet Dipartimento di Informatica e Scienze dellInformazione Università di Genova Genoa Italy Computer Science Department Center for Automation Research Institute for Advanced Computer Studies University of Maryland College Park MD USA

ISBN: (纸本)0769515460

We deal with the problem of analyzing and visualizing large-size volume data sets. To this aim, we consider multiresolution representations based on a decomposition of the field domain into tetrahedral cells. We compare two types of multiresolution representations that differ on the rule applied to refine an initial coarse mesh: one is based on tetrahedron bisection, and one based on vertex split. The two representations can be viewed as instances of a common multiresolution model, that we call a multiresolution mesh. Encoding data structures for the two representations are briefly described. An experimental comparison on structured volume data sets is presented.

关键词： Spatial resolution Finite element methods data mining data visualization data structures Shape Computer science Automation Educational institutions Encoding

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Face recognition using extended isomap

Face recognition using extended isomap

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IEEE International conference on Image Processing

作者： Ming-Hsuan Yang Honda Fundamental Research Laboratories Mountain View CA USA

The isomap method has demonstrated promising results in finding low dimensional manifolds from samples in high dimensional input space. While conventional subspace methods compute L/sub 1/ or L/sub 2/ metrics to represent distances between samples and apply principal component analysis or similar to induce linear manifolds, the isomap method estimates the geodesic distance between samples and then uses multidimensional scaling to induce a low dimensional manifold. Since the isomap method is based on the reconstruction principle, it may not be optimal from the classification viewpoint. We present an extended isomap method that utilizes the Fisher linear discriminant for pattern classification. Numerous experiments on image data sets show that our extension is more effective than the original isomap method for pattern classification. Furthermore, the extended isomap method shows promising results compared with the best classification methods in the literature.

关键词： Face recognition Principal component analysis Multidimensional systems Pattern classification Geophysics computing Geometry Image reconstruction data visualization Pattern recognition Euclidean distance

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Tetrahedron mapping of points from n-space to three-space

Tetrahedron mapping of points from n-space to three-space

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International conference on Pattern Recognition

作者： Li Yang Department of Computer Science Western Michigan University Kalamazoo MI USA

ISBN: (纸本)076951695X

We extend the triangulation method of Lee et al. (1977) and present a tetrahedron method for the sequential mapping of points in high-dimensional space into three-space. The three-space preserves distances among nodes of a tetrahedron. Whenever a new point is mapped, its distances to three points previously mapped are exactly preserved. Among these three points, one can be chosen as the point connected through a minimal spanning tree. Other two points can be chosen as the nearest neighbors among points previously mapped, or some fixed reference points. This method works well to display a moderate number of points where distances among points have to be maintained. It is also useful to display data clusters, and can be combined with linear mapping methods for visualizing large datasets. Various applications in pattern analysis are discussed.

关键词： Displays data visualization Computer science Nearest neighbor searches Pattern analysis data analysis Interpolation

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The Large Scale Digital Cell analysis System and its use in the quantitative analysis of cell populations

The Large Scale Digital Cell Analysis System and its use in ...

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International conference on Microtechnologies in Medicine and Biology

作者： F. Ianzini L. Bresnahan L. Wang K. Anderson M.A. Mackey Department of Biomedical Engineering University of Iowa Iowa City IA USA

The Large Scale Digital Cell analysis System (LSDCAS) was designed to analyze large numbers of cells under a variety of experimental conditions. LSDCAS is an automated microscope system capable of monitoring of the order of 1000 microscope fields over time intervals of up to one month. Although LSDCAS was originally designed to study stress-induced mitotic catastrophe, current efforts aim to provide imaging and data modeling/visualization technologies that will be useful in many areas of biological research. Several collaborative projects with University of Iowa researchers are underway involving the study of alterations in cell motility associated with metastasis; determination of the fate of cells which overproduce pro-oxidants, as well as the development of software to automatically determine the mode of cell death following exposure to cytotoxic agents. Ongoing extension of the capabilities of LSDCAS using image segmentation techniques based upon active appearance models will allow for the measurement of a variety of cellular endpoints. This report details our ongoing studies using LSDCAS; in particular its use in the quantitation of cell motility is described. Following these preliminary analyses, the report ends with a discussion of current development of LSDCAS to provide real-time fluorescence-based analysis of pro-oxidant production in cultured cells.

关键词： Large-scale systems Microscopy Collaborative software Computerized monitoring Biological system modeling data visualization Metastasis Image segmentation Fluorescence Production

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