Visualization and data analysis最新文献_第8页

Evaluation of progressive treemaps to convey tree and node properties 评估渐进式树图以传递树和节点属性

Visualization and data analysis Pub Date : 2012-01-24 DOI: 10.1117/12.907581

R. Rosenbaum, B. Hamann

引用次数: 2

Integrating sentiment analysis and term associations with geo-temporal visualizations on customer feedback streams 将情感分析和术语关联与客户反馈流的地理时间可视化相结合

Visualization and data analysis Pub Date : 2012-01-24 DOI: 10.1117/12.912202

M. Hao, Christian Rohrdantz, H. Janetzko, D. Keim, U. Dayal, L. Haug, M. Hsu

{"title":"Integrating sentiment analysis and term associations with geo-temporal visualizations on customer feedback streams","authors":"M. Hao, Christian Rohrdantz, H. Janetzko, D. Keim, U. Dayal, L. Haug, M. Hsu","doi":"10.1117/12.912202","DOIUrl":"https://doi.org/10.1117/12.912202","url":null,"abstract":"Twitter currently receives over 190 million tweets (small text-based Web posts) and manufacturing companies receive over 10 \u0000thousand web product surveys a day, in which people share their thoughts regarding a wide range of products and their features. A \u0000large number of tweets and customer surveys include opinions about products and services. However, with Twitter being a relatively \u0000new phenomenon, these tweets are underutilized as a source for determining customer sentiments. To explore high-volume customer \u0000feedback streams, we integrate three time series-based visual analysis techniques: (1) feature-based sentiment analysis that extracts, \u0000measures, and maps customer feedback; (2) a novel idea of term associations that identify attributes, verbs, and adjectives frequently \u0000occurring together; and (3) new pixel cell-based sentiment calendars, geo-temporal map visualizations and self-organizing maps to \u0000identify co-occurring and influential opinions. We have combined these techniques into a well-fitted solution for an effective analysis \u0000of large customer feedback streams such as for movie reviews (e.g., Kung-Fu Panda) or web surveys (buyers).","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"37 1","pages":"82940H"},"PeriodicalIF":0.0,"publicationDate":"2012-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74937921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Animating streamlines with repeated asymmetric patterns for steady flow visualization 动画流线与重复的不对称模式，稳定流动的可视化

Visualization and data analysis Pub Date : 2012-01-24 DOI: 10.1117/12.911968

Chih-Kuo Yeh, Zhanping Liu, Tong-Yee Lee

引用次数: 2

Vortex core detection: back to basics 漩涡核心检测:回归基础

Visualization and data analysis Pub Date : 2012-01-24 DOI: 10.1117/12.912301

A. V. Gelder

{"title":"Vortex core detection: back to basics","authors":"A. V. Gelder","doi":"10.1117/12.912301","DOIUrl":"https://doi.org/10.1117/12.912301","url":null,"abstract":"Analyzing vortices in fluid flows is an important and extensively studied problem. Visualization methods are an important tool, and vortex cores, including vortex-core axes, are frequently objects for which visualization is attempted. A robust definition of vortex-core axis has eluded researchers for a decade. This paper reviews the criteria described in some early papers, as well as recent papers that concentrate on issues of unsteady flows, and attempts to build on their ideas. In particular, researchers have proposed criteria that are desirable for a vortex-core axis that correspond to nonlocal properties, yet current extraction methods are all based on local properties. Analysis is presented to support the thesis that inaccuracies observed in some popular early methods are due to a mixture of frequencies in the flow field in vortical regions. Such mixtures occur in steady flows, as well as unsteady (time-varying) flows. Thus, the fact that the flows are unsteady is not necessarily the primary reason for inaccuracies recently observed in vortex analysis of such flows. It is hypothesized that time-varying (unsteady) flows tend to be more complex, hence tend to have mixed frequencies more often than steady flows. We further conjecture that an \"effective\" lack of Galilean invariance may occur in steady or unsteady flows, due to the interaction of low frequencies with high frequencies.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"130 1","pages":"829413"},"PeriodicalIF":0.0,"publicationDate":"2012-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83242594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Efficient, dynamic data visualization with persistent data structures 具有持久数据结构的高效、动态数据可视化

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.909581

Joseph A. Cottam, A. Lumsdaine

{"title":"Efficient, dynamic data visualization with persistent data structures","authors":"Joseph A. Cottam, A. Lumsdaine","doi":"10.1117/12.909581","DOIUrl":"https://doi.org/10.1117/12.909581","url":null,"abstract":"Working with data that is changing while it is being worked on, so called \"dynamic data\", presents unique \u0000challenges to a visualization and analysis framework. In particular, making rendering and analysis mutually exclusive \u0000can quickly lead to either livelock in the analysis, unresponsive visuals or incorrect results. A framework's \u0000data store is a common point of contention that often drives the mutual exclusion. Providing safe, synchronous \u0000access to the data store eliminates the livelock scenarios and responsive visuals while maintaining result correctness. \u0000Persistent data structures are a technique for providing safe, synchronous access. They support safe, \u0000synchronous access by directly supporting multiple versions of the data structure with limited data duplication. \u0000With a persistent data structure, rendering acts on one version of the data structure while analysis updates \u0000another, effectively double-buffering the central data store. Pre-rendering work based on global state (such as \u0000scaling all values relative to the global maximum) is also efficiently treated if independently modified versions \u0000can be merged. The Stencil visualization system uses persistent data structures to achieve task-based parallelism \u0000between analysis, pre-rendering and rendering work with little synchronization overhead. With efficient \u0000persistent data structures, performance gains of several orders of magnitude are achieved.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"12 1","pages":"82940X"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89460616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A performance assessment on the effectiveness of digital image registration methods 数字图像配准方法有效性的性能评价

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.912087

S. Kacenjar, Bing Li, Alan Ostrow

{"title":"A performance assessment on the effectiveness of digital image registration methods","authors":"S. Kacenjar, Bing Li, Alan Ostrow","doi":"10.1117/12.912087","DOIUrl":"https://doi.org/10.1117/12.912087","url":null,"abstract":"Digital Image Correlation (DIC) of time-sequenced-imagery (TSI) is a very popular method in the study of medical, \u0000material deformation, and electronic packaging. Its use in processing the before-and-after images provides critical \u0000information about the scene deformation and structural differences between the imagery. \u0000Several correlation methods for implementing DIC have been developed and will be compared in this study. Each of \u0000these methods offer distinct trades offs with respect to processing complexity and lock-in accuracy. \u0000There are several factors that influence the effectiveness of these methods to provide robust operation and strongly \u0000localized correlation peaks. These factors include; camera positional stability during the time of image acquisitions, \u0000deformation of the object under study, and measurement noise. In addition, the signatures that are captured during DIC \u0000can often times be amplified through preprocessing and thus potentially enhancing DIC performance. \u0000This paper examines the impacts on two of these factors (measurement noise and image digital sharpening) using four \u0000popular correlation methods that are often implemented in DIC analyses.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"1 1","pages":"82940V"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83757498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Visualization and analysis of 3D gene expression patterns in zebrafish using web services 利用web服务可视化和分析斑马鱼的三维基因表达模式

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.909810

D. Potikanond, F. Verbeek

{"title":"Visualization and analysis of 3D gene expression patterns in zebrafish using web services","authors":"D. Potikanond, F. Verbeek","doi":"10.1117/12.909810","DOIUrl":"https://doi.org/10.1117/12.909810","url":null,"abstract":"The analysis of patterns of gene expression patterns analysis plays an important role in developmental biology and \u0000molecular genetics. Visualizing both quantitative and spatio-temporal aspects of gene expression patterns together with \u0000referenced anatomical structures of a model-organism in 3D can help identifying how a group of genes are expressed at a \u0000certain location at a particular developmental stage of an organism. In this paper, we present an approach to provide an \u0000online visualization of gene expression data in zebrafish (Danio rerio) within 3D reconstruction model of zebrafish in \u0000different developmental stages. We developed web services that provide programmable access to the 3D reconstruction \u0000data and spatial-temporal gene expression data maintained in our local repositories. To demonstrate this work, we \u0000develop a web application that uses these web services to retrieve data from our local information systems. The web \u0000application also retrieve relevant analysis of microarray gene expression data from an external community resource; i.e. \u0000the ArrayExpress Atlas. All the relevant gene expression patterns data are subsequently integrated with the \u0000reconstruction data of the zebrafish atlas using ontology based mapping. The resulting visualization provides quantitative \u0000and spatial information on patterns of gene expression in a 3D graphical representation of the zebrafish atlas in a certain \u0000developmental stage. To deliver the visualization to the user, we developed a Java based 3D viewer client that can be \u0000integrated in a web interface allowing the user to visualize the integrated information over the Internet.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"40 1","pages":"829412"},"PeriodicalIF":0.0,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87969883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An evaluation of rendering and interactive methods for volumetric data exploration in virtual reality environments 虚拟现实环境中体数据探索的渲染和交互方法的评估

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.912312

Nan Wang, Alexis Paljic, P. Fuchs

引用次数: 2

Space/error tradeoffs for lossy wavelet reconstruction 有损小波重构的空间/误差权衡

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.907544

John C. Frain, R. Bergeron

引用次数: 0

Configurable data prefetching scheme for interactive visualization of large-scale volume data 可配置的数据预取方案，用于大规模卷数据的交互式可视化

Visualization and data analysis Pub Date : 2012-01-22 DOI: 10.1117/12.910926

Byungil Jeong, P. Navrátil, K. Gaither, G. Abram, Gregory P. Johnson

引用次数: 3