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

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A spectral graph theory approach for data re-mapping

A spectral graph theory approach for data re-mapping

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Asia-Pacific Signal and Information Processing Association Annual Summit and conference 2011, APSIPA ASC 2011

作者： Fan, Zihong Ortega, Antonio Ming Hsieh Department of Electrical Engineering Signal and Image Processing Institute University of Southern California Los Angeles CA United States

Interactive navigation of large high-dimensional media datasets aims at allowing viewers to freely navigate content, selecting a subset of the high-dimensional visual data of interest for display. An example application would be remote visualization of an arbitrary 2-D planar cut from a large volumetric dataset with random access. In our previous work, we proposed a clientserver based data representation and retrieval system using overlapping rotated tiles to represent the dataset, which leads to lower bandwidth required for accessing a random plane from large volume data. This leads to the question of how best to represent these rotated tiles for compression. We have presented a non-interpolated symmetric mapping algorithm, which maps each voxel in the original image to a rotated Cartesian grid point. In this paper, we will present a tool to analyze and quantify the performance and demonstrate the benefits of our proposed re-mapping algorithm. We will show that in general the more symmetric the mapping is, the better RD performance can be achieved. Our analysis, based on spectral graph theory, could be used for measuring the performance of different mapping algorithms on a grid of any dimension.

关键词： Graph theory

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Dimensionality reduction analysis in condition classification of prognostics

Dimensionality reduction analysis in condition classificatio...

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Applied Systems Health Management conference 2011: Enabling Sustainable Systems, MFPT 2011

作者： Liu, Chao Jiang, Dongxiang State Key Laboratory of Control and Simulation of Power System and Generation Equipments Department of Thermal Engineering Tsinghua University Beijing 100084 China

In order to maintain the separability of different fault onsets, more characteristic parameters need to be used to establish the feature space with multiple possible faults. Usually, the dimensions of feature space have a positive correlation with the number of faults. Describing multiple faults in visualization is more difficult and the classification bounds with hyperplanes are less convenient to realize. Therefore implementing dimensionality reduction approaches in original feature space is beneficial for fault diagnosis and prognostics. Multidimensional Scaling (MDS) has been widely studied and used for dimensionality reduction as well as Principal Component analysis (PCA). When these methods are applied in the prognostics process, the effectiveness needs validation with the reason that the deterioration features in degradations are different from the faults onsets that in diagnostics. The paper analyzes the nonlinear dimensionality reduction methods including Self-Organizing Map (SOM) and Isometric feature mapping (Isomap). Based on the deterioration data in an engine, the effects of these methods are analyzed.

关键词： Self organizing maps

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Virtual visualization System for Growth of Tobacco Root

Virtual Visualization System for Growth of Tobacco Root

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4th IFIP TC 12 conference on Computer and Computing Technologies in Agriculture

作者： Xi, Lei Xiong, Shuping Ren, Yanna Wang, Qiang Yang, Juan Zhang, Longlong Ma, Xinming Henan Agr Univ Informat & Management Sci Coll Zhengzhou Henan Peoples R China Henan Agr Univ Coll Agr Zhengzhou Peoples R China Shanghai Acad Agr Sci Shanghai Peoples R China

ISBN: (纸本)9783642183539

visualization study on the growth of virtual plant roots is of great significance to enhance the overall level of research on virtual plant growth. In this study, with the tobacco root as the object, its growth was divided by systematic analysis into three stages: root emergence, root growth, and root branching. Through the quantitative analysis of the morphological data of the tobacco root and in combination with results of previous studies, the tobacco root growth, branching and other models were established, and parameter values of the models were extracted. On this basis, computer graphics technology was applied to establish a virtual visualization system for tobacco root growth that should be capable of simulating root growth and computing indicators of roots including the number, length, density, etc. Results indicated that this system can do a better job of simulating the morphological features for the tobacco root and virtually displaying the process of tobacco root growth in a more realistic way.

关键词： Tobacco root simulation model virtual plant visualization

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Murvis: Enhancing the visualization of multiple response survey

Murvis: Enhancing the visualization of multiple response sur...

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15th WSEAS International conference on Computers, Part of the 15th WSEAS CSCC Multiconference

作者： Abidin, Siti Z.Z. Haron, M. Bakri C. Mahmud, Zamalia Faculty of Communication and Media Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia

ISBN: (纸本)9781618040190

In a survey, when participants are allowed to give multiple response answers, the results will be presented in patterns of clustering based on similarity factors. Multidimensional scaling (MDS) is often used to reduce the dimension of data for presenting information in clusters that allow results to be interpreted according to the survey subjects and attributes. However, too many subjects and attributes will produce massive output points (coordinates) in the results that provide difficulties in the presentation. In this paper, we propose a tool called Murvis (Multiple Response visualization) to provide users (researchers) to visualize the MDS output coordinates in 2D and 3D space with flexible views manipulation, and results reclassification based on colored attributes. We use Java programming language to read all the MDS output coordinates and apply a distance ratio algorithm to visualize the output points in height. At the same time, the Java program also reads all coordinates for MDS output attributes to assign colours to any particular attribute analysis. As a case study, we work on 50 data coordinates and perform the testing on two more other datasets. The first dataset consists of 200 cases to look into the ease of visualization technique. The second dataset has different subjects and cases to test on the flexibility of the tool to reclassify the attribute results with colours. Our study benefits the researchers or statisticians for analyzing their findings for multiple response answers.

关键词： visualization

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A web-based phylogenetic analysis for a query gene

A web-based phylogenetic analysis for a query gene

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5th International conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

作者： Tan, Shenglong Wu, Song Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Hubei University of Economics Wuhan China

ISBN: (纸本)9781424450893

We present a robust web server called Phytree of a query gene for phylogenetic analysis from the latest protein database with a user-friendly, interactive graphical user interface. Phytree of a query gene combines a BLAST search with a suite of tools that allows interactive, phylogenetic-oriented exploration of the BLAST results and flexible selection of homologous sequences among the BLAST hits. Once the selection of the BLAST hits is done, the corresponding sequences can be passed to the phylogenetic tree reconstruction pipelines (multiple alignment, data process, phylogenetic reconstruction, tree visualization). As the major technological innovation, selection of a meaningful subset of BLAST hits is implemented using pipeline programming and tree visualization used Java-based recursive method that allows trees to be integrated and viewed seamlessly in standard web browsers with no extra software required. Phytree of a query gene only needs users to copy their amino acid sequence of their query gene to the input box, and the phylogenetic tree will be built once and for all. This function is very practical for non-specialist in phylogeny. Moreover, Phytree of a query gene introduces several new methods in treatment of intermediate results, which makes it much faster, easier and more accurate, robust in phylogenetic tree reconstruction. It is specially designed for users who have no experience in phylogeny. It is freely available on our web page: © 2011 IEEE.. © 2011 IEEE.

关键词： Genes

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Soil motion analysis system for examining wheel-soil shearing

Soil motion analysis system for examining wheel-soil shearin...

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17th International conference of the International Society for Terrain Vehicle Systems 2011, ISTVS 2011

作者： Moreland, Scott Skonieczny, Krzysztof Wettergreen, David Creager, Colin Asnani, Vivake Robotics Institute Carnegie Mellon University Pittsburgh PA 15232 United States Mechanical Engineering Dept. Carnegie Mellon University Pittsburgh PA 15232 United States Tribology and Mechanical Systems Branch NASA Glenn Research Center 21000 Brookpark Rd Cleveland OH United States

ISBN: (纸本)9781618395986

Though much research has been conducted regarding traction of tires in soft granular terrain, little empirical data exist on the motion of soil particles beneath a tire. A novel experimentation and analysis technique has been developed to enable investigation of terramechanics fundamentals in great detail. This technique, the Shear Interface Imaging analysis Tool, provides visualization and analysis capability of soil motion at and below the wheel-soil interface. The method places a wheel (or other traction device) in granular soil up against a transparent sidewall. While driving or towing the tire, images are taken of the sub-surface soil, and are processed with optical flow software. analysis of the resulting displacement field identifies clusters of soil motion and shear interfaces. Complexities in soil flow patterns greatly affect soil structure below the wheel and the resulting tractive capability. The Shear Interface Imaging analysis Tool visualizes and helps analyze these complexities in richer detail than possible before, and allows for a deeper understanding of the physics behind wheel-terrain interaction. Results are presented for rigid wheels at various slip conditions, and various wheel configurations such as diameter, grouser spacing and compliance.

关键词： Soils

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VINCI 2011 - The 4th Visual Information Communication - International Symposium

VINCI 2011 - The 4th Visual Information Communication - Inte...

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4th Visual Information Communication - International Symposium, VINCI 2011

ISBN: (纸本)9781450308755

The proceedings contain 16 papers. The topics discussed include: designing knowledge-assisted visual analytics systems for organizational environments;visualization of large category hierarchies;a visual analysis tool that smoothly switches between tabular forms and parallel coordinates;a hyperbolic tree based interface for exploring massive files;MusiCube: a visual interface for music selection featuring interactive evolutionary computing;support of self-management for chronic kidney failure patients;geo-tagged mobile photo sharing in collaborative emergency management;empirical studies of pen tilting performance in pen-based user interfaces;controlled dataflow visual programming languages;visualizing inference process of a rule engine;and coaxial interactive viewer: a multi-dimensional data visualization with spatial distortional views.

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Sparse machine learning methods for understanding large text corpora

Sparse machine learning methods for understanding large text...

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NASA conference on Intelligent data Understanding, CIDU 2011

作者： El Ghaoui, Laurent Li, Guan-Cheng Duong, Viet-An Pham, Vu Srivastava, Ashok Bhaduri, Kanishka EECS Dept. UC Berkeley United States Ecole des Mines d'Alès School of Production and Systems Engineering France University of Science VNU-HCMC Ho-Chi-Minh City Viet Nam System-Wide Safety and Assurance Technologies Project NASA United States

Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This paper posits that these methods can be extremely useful for understanding large collections of text documents, without requiring user expertise in machine learning. Our approach relies on three main ingredients: (a) multi-document text summarization and (b) comparative summarization of two corpora, both using sparse regression or classification;(c) sparse principal components and sparse graphical models for unsupervised analysis and visualization of large text corpora. We validate our approach using a corpus of Aviation Safety Reporting System (ASRS) reports and demonstrate that the methods can reveal causal and contributing factors in runway incursions. Furthermore, we show that the methods automatically discover four main tasks that pilots perform during flight, which can aid in further understanding the causal and contributing factors to runway incursions and other drivers for aviation safety incidents.

关键词： Principal component analysis

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A wireless sensor system for motion analysis of Parkinson's disease patients

A wireless sensor system for motion analysis of Parkinson's ...

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2011 9th IEEE International conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011

作者： Lo, Geoffrey Suresh, Ashwin Ram Stocco, Leo Gonzalez-Valenzuela, Sergio Leung, Victor C. M. Department of Electrical and Computer Engineering University of British Columbia 2332 Main Mall Vancouver BC V6T1Z4 Canada Department of Electrical and Computer Engineering Indian Institute of Technology - Madras Chennai-600036 Tamil Nadu India

ISBN: (纸本)9781612849379

We describe the initial design, implementation and testing of a wearable sensor system employed for human motion analysis. Our proposed system is part of an ongoing investigation aimed at efficiently timing the self-administration of prescription drugs in Parkinson's disease patients by using wireless sensors to capture distinctive motion patterns that indicate the onset of dyskinesia lapses as the prescription drug wears off. Our prototype incorporates three pairs of accelerometer/gyroscope sensors, each connected to a wireless node equipped with an IEEE 802.15.4 radio. Sensor data are transmitted to a computer that is employed for visualization. We describe practical experience encountered during the initial development of our prototype, and outline the potential battery and bandwidth conservation benefits introduced by employing popular signal processing methods. © 2011 IEEE.

关键词： Wearable sensors

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A New analysis Method for Simulations Using Node Categorizations

A New Analysis Method for Simulations Using Node Categorizat...

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International conference on Advances in Social Networks analysis and Mining (ASONAM)

作者： Yuasa, Tomoyuki Shirayama, Susumu Univ Tokyo Sch Engn Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan

ISBN: (纸本)9780769543758

Most research concerning the influence of network structure on phenomena taking place on the network focus on relationships between global statistics of the network structure and characteristic properties of those phenomena, even though local structure has a significant effect on the dynamics of some phenomena. In the present paper, we propose a new analysis method for phenomena on networks based on a categorization of nodes. First, local statistics such as the average path length and the clustering coefficient for a node are calculated and assigned to the respective node. Then, the nodes are categorized using the self-organizing map (SOM) algorithm. Characteristic properties of the phenomena of interest are visualized for each category of nodes. The validity of our method is demonstrated using the results of two simulation models.

关键词： Analytical models Communities Complex Network data Mining Heating Layout Mathematical model Multi-Agent Simulation Simulation visualization average path length category theory clustering coefficient complex networks global statistics local statistics network structure influence network theory (graphs) node categorization self organizing map algorithm self-organising feature maps statistical analysis

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