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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

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analysis of potential benefits of arrival-departure procedures proposed for ORD

Analysis of potential benefits of arrival-departure procedur...

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conference on Digital Avionics Systems (DASC)

作者： R.H. Mayer H. Swancy MITRE Corporation Mclean VA USA Federal Aviation Administration Washington D.C. DC USA

On June 13, 2004 the Federal Aviation Administration (FAA) implemented a new procedure at Chicago O'Hare International Airport (ORD) that authorizes arrival-departure operations on intersecting runways 14R/27L with modified separation requirements at the runway intersection. The procedure is expected to recoup reductions in arrival and departure capacities associated with operations on these runways that resulted from discontinuing land-and-hold-short operations (LAHSO) in 2000 and reduce arrival and departure delays at ORD when the airport is operated in plan B configuration. This configuration is used about 10 percent of the time. This paper describes the background analysis of relevant operational metrics conducted to compare and evaluate candidate procedures for their relative benefits and to help select the most promising ones. It describes the model developed to quantify and visualize the airport's operations, the methodology used to validate model performance with ARTS data, and the Monte Carlo approach taken for comparing and evaluating capacity benefits of four candidate arrival-departure procedures.

关键词： Airports FAA Capacity planning Delay data visualization Subspace constraints Monte Carlo methods

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A hybrid access model for storage area networks

A hybrid access model for storage area networks

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IEEE/NASA Goddard conference on Mass Storage Systems and Technologies, (MSST)

作者： Aameek Singh K. Voruganti Sandeep Gopisetty D. Pease L. Liu Georgia Institute of Technology USA IBM Almaden Research Center USA

We present HSAN & a hybrid storage area network, which uses both in-band (like NFS (R. Sandberg et al., 1985)) and out-of-band visualization (like SAN FS (J. Menon et al., 2003)) access models. HSAN uses hybrid servers that can serve as both metadata and NAS servers to intelligently decide the access model per each request, based on the characteristics of requested data. This is in contrast to existing efforts that merely provide concurrent support for both models and do not exploit model appropriateness for requested data. The HSAN hybrid model is implemented using low overhead cache-admission and cache-replacement schemes and aims to improve overall response times for a wide variety of workloads. Preliminary analysis of the hybrid model indicates performance improvements over both models.

关键词： Storage area networks Network servers Delay Cache storage File servers Scalability Costs Performance analysis NASA Space technology

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Multisensor fusion for volumetric reconstruction of large outdoor areas

Multisensor fusion for volumetric reconstruction of large ou...

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International conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： M. Fiocco G. Bostrom J.G.M. Goncalves V. Sequeira European Commissio Joint Research Centre Ispra Varese Italy

This paper presents techniques for the merging of 3D data coming from different sensors, such as ground and aerial laser range scans. The 3D models created are reconstructed to give a photo-realistic scene enabling interactive virtual walkthroughs, measurements and scene change analysis. The reconstructed model is based on a weighted integration of all available data based on sensor-specific parameters such as noise level, accuracy, inclination and reflectivity of the target, spatial distribution of points. The geometry is robustly reconstructed with a volumetric approach. Once registered and weighed, all data is re-sampled in a multi-resolution distance field using out-of-core techniques. The final mesh is extracted by contouring the iso-surface with a feature preserving dual contouring algorithm. The paper shows results of the above technique applied to Verona (Italy) city centre.

关键词： Layout Merging Laser fusion Laser modes Laser noise Noise level Reflectivity Geometry Noise robustness data mining

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2D/3D non-rigid registration of volumetric CT lung data using thin-plate spline

2D/3D non-rigid registration of volumetric CT lung data usin...

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International conference on e-health Networking, Applications and Services (HealthCom)

作者： J. Kim H. Park Digital Ocean & Virtual Environment Center Korea Ocean Research and Development Institute South Korea Computer Graphics & Visualization Laboratory Information and Communications University South Korea

In the medical image analysis for the human organs, non-rigid registration is necessary to properly register the local deformation. Especially for the dynamic organs like a heart and lungs, it is essential to process the registration method in three-dimensional space to track their through-plane motion. In this paper, we suggest the 2D/3D non-rigid registration method based on the corresponding anatomical landmarks using thin-plate spline (TPS). By extending two-dimensional TPS, we developed 3D TPS and computed its bending energy function to register the local deformations of the volumetric time-varying lung CT data. Our experimental results show that our method is suitable for handling volumetric deformation with a small number of anatomical landmarks.

关键词： Lungs Spline Biomedical imaging Computed tomography Humans Image registration Oceans Registers Heart Tracking

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Non-Gaussian component analysis: a semi-parametric framework for linear dimension reduction 05

Non-Gaussian component analysis: a semi-parametric framework...

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Proceedings of the 18th International conference on Neural Information Processing Systems

作者： G. Blanchard M. Sugiyama M. Kawanabe V. Spokoiny K.-R. Müller Fraunhofer FIRST.IDA Berlin Germany Fraunhofer FIRST.IDA Berlin Germany and Dept. of CS Tokyo Inst. of Tech. Tokyo Japan Weierstrass Institute and Humboldt University Berlin Germany Fraunhofer FIRST.IDA Berlin Germany and Dept. of CS University of Potsdam Potsdam Germany

We propose a new linear method for dimension reduction to identify non-Gaussian components in high dimensional data. Our method, NGCA (non-Gaussian component analysis), uses a very general semi-parametric framework. In contrast to existing projection methods we define what is uninteresting (Gaussian): by projecting out uninterestingness, we can estimate the relevant non-Gaussian subspace. We show that the estimation error of finding the non-Gaussian components tends to zero at a parametric rate. Once NGCA components are identified and extracted, various tasks can be applied in the data analysis process, like data visualization, clustering, denoising or classification. A numerical study demonstrates the usefulness of our method.

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Detrended Fluctuation analysis: A Suitable Long-term Measure of HRV Signals in Children with Sleep Disordered Breathing

Detrended Fluctuation Analysis: A Suitable Long-term Measure...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： R. Krishnam S. Chatlapalli H. Nazeran E. Haltiwanger Y. Pamula Department of Electrical and Computer Engineering University of Texas El Paso El Paso TX USA School of Informatics and Engineering Flinders University of South Australia Adelaide Australia Faculty of Heath Sciences University of Texas El Paso El Paso TX USA Department of Pulmonary Medicine Women''s and Children''s Hospital Adelaide Australia

On the body surface the electric field generated by the cardiac muscles consists of electric potential maxima and minima that increase and decrease during each cardiac cycle. The recording of these electric potentials as a function of time is called electrocardiography, and the resulting signal is called the electrocardiogram (ECG). The ECG signal is used extensively as a low cost diagnostic tool to provide information concerning the heart's state of health. Reliable and accurate detection of the QRS complex and R wave peak in ECG signals is essential in computer-based ECG analysis. In this paper we evaluate the significance of detrended fluctuation analysis (DFA) for studying heart rate variability in children with sleep disordered breathing. An enhanced Hilbert transform (EHT) algorithm was used to derive the heart rate variability (HRV) signal. We compare the DFA values with approximate entropy and Poincare plots of HRV signals as these are very useful in characterization and visualization of HRV data. Our data demonstrated differences in DFA parameters between periods of normal and abnormal breathing and also between sleep stages. These results suggest that DFA is suitable for the long-term analysis of non-stationary time series such as HRV signals and may also be applied in the detection of sleep disordered breathing

关键词： Fluctuations Signal analysis Heart rate variability Sleep Electrocardiography Doped fiber amplifiers Electric potential Muscles Costs Pediatrics

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Extracting main modes of human body shape variation from 3D anthropometric data

Extracting main modes of human body shape variation from 3D ...

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International conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Z.B. Azouz Chang Shu R. Lepage M. Rioux Département de génie de la production automatisée Ecole de technologie supérieure de Montréal Visual Information Technology Group National Research Council of Canada Visual Information Technology Group National Research Council Canada Canada Département de génie de la production automatisée Ecole de technologie supérieure de Montréal Canada

Characterizing the variations of the human body shape is fundamentally important to many applications ranging from animation to product design. 3D scanning technology makes it possible to digitize the complete surfaces of a large number of human bodies, providing much richer information about the body shape than the traditional anthropometric measurements. This technology opens up opportunities to extract new measurements for quantifying the body shape. Using the data from the first large scale 3D anthropometric survey, the CAESAR project, we demonstrate that the human body shape can be represented by a small number of principal components. Principal component analysis extracts orthogonal basis vectors, called eigenpersons, from the space of body shapes. The shape of any individual person can then be expressed by the linear combination of the basis vectors. We demonstrate that some of these components correspond to the commonly used body measurements like height and weight and others indicate new ways of charactering body shape variations. We develop tools to visualize the changes of the body shape along the main components. These tools help understand the meaningful components of the human body shape.

关键词： data mining Humans Shape measurement Vectors Principal component analysis Anthropometry Animation Large-scale systems visualization Information technology

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Digital pathological image analysis and cell segmentation

Digital pathological image analysis and cell segmentation

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IEEE Computational Systems Bioinformatics conference, CSB Workshops and Poster Abstracts

作者： L. Hernandez P. Gothreaux G. Collins L. Shih G. Campbell Computer Engineering University of Houston Clear Lake USA Neuropathology Medical Branch University of Technology USA

Summary form only given. This project proposes the use of Digital Signal Processing (DSP) for real-time capture and analysis of pathological slide images to improve accuracy and efficiency. Analyzing cell density statistics and average cell nuclei diameters of a slide image is useful to determine the abnormality of slide sample. Being tedious as it is in counting/measuring hundreds to thousands of cells in one sample slide under a microscope, the manual result, typically can be achieved by a pathologist, is often limited by human eye precision/efficiency. Millions of biopsy samples obtained daily around the world, from minor skin lesions to major tumors, are anxiously waiting to be screened/examined. As a high-level, interactive environment for data visualization/analysis/computation, MATLAB/spl reg/ is utilized currently to perform automatic image analysis and segmentation of brain cells on a computer. By comparing cell concentration and cell nuclei sizes between cancerous and normal image groups, MATLAB/spl reg/ can be programmed to distinguish normal brain cells from questionable ones. In general, pathological image analysis using a computer-based application could demonstrate great precision and efficiency for screening large quantities of cells on one or numerous sample slides. Currently, MATLAB/spl reg/ image analysis works on captured/digitized slide images and takes a minute per image to automatically pre-screen abnormalities that require further human expert analysis. With future real-time/parallel/machine-intelligent improvements, we hope that DSP can help physicians/pathologists/patients everywhere to get immediate diagnosis for effective/timely treatment, and can show accuracy within acceptable levels that are comparable to human pathologists in dealing with cell-overlapping and non-cell objects existing in slide images.

关键词： Pathology Image analysis Image segmentation Digital signal processing Humans Computer languages High performance computing Brain cells Signal analysis Statistical analysis

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Evaluation of a framework for reverse engineering tool construction

Evaluation of a framework for reverse engineering tool const...

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International conference on Software Maintenance (ICSM)

作者： T. Panas M. Staron Software Technology Group Vaxjo University Vaxjo Sweden School of Engineering Blekinge Institute of Technology Ronneby Sweden

This paper describes an experiment of rapidly constructing reverse engineering tools from predefined components/tools. We perform two ways of construction. The first uses ad-hoc composition. The second exploits a framework design to support the customization of reverse engineering tools. We evaluate the quality of the assembled tools and their assembling time for each approach. For this, we describe in this paper briefly our framework, the metrics chosen for quality measurement based on the GQM approach, the experiment itself and our results. The paper gives empirical evidence that framework customization, here using the VizzAnalyzer framework, is superior to ad-hoc composition.

关键词： Reverse engineering Assembly visualization Libraries Software tools Software maintenance Software systems Costs Performance analysis data conversion

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Enriching Literature Reviews with Computer-Assisted Research Mining. Case: Profiling Group Support Systems Research

Enriching Literature Reviews with Computer-Assisted Research...

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Annual Hawaii International conference on System Sciences (HICSS)

作者： Johanna Bragge Sami Relander Anne Sunikka Petri Mannonen Helsinki School of Economics Finland Helsinki University of Technology Finland

In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated text mining tools designed for structured science and technology information resources, such as the ISI Web of science, INSPEC or ABI/INFORM ProQuest. Besides aiding in summarizing and visualizing knowledge domains, these research mining tools act as interactive decision support systems for researchers. We illustrate research profiling with 2.000 publications on group support systems between years 1982-2005

关键词： Collaborative software Text mining data visualization Information systems Assembly systems Libraries Search engines Abstracts Visual databases Information analysis

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