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

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Visually Relating Gene Expression and in vivo DNA Binding data

Visually Relating Gene Expression and in vivo DNA Binding Da...

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IEEE International conference on Bioinformatics and Biomedicine (BIBM)

作者： Min-Yu Huang Lester Mackey Soile V.E. Keranen Gunther H. Weber Michael I. Jordan David W. Knowles Mark D. Biggin Bernd Hamann University of California Davis CA USA University of California Berkeley CA USA Lawrence Berkeley National Laboratory CA USA

Gene expression and in vivo DNA binding data provide important information for understanding gene regulatory networks: in vivo DNA binding data indicate genomic regions where transcription factors are bound, and expression data show the output resulting from this binding. Thus, there must be functional relationships between these two types of data. While visualization and data analysis tools exist for each data type alone, there is a lack of tools that can easily explore the relationship between them. We propose an approach that uses the average expression driven by multiple of cis-control regions to visually relate gene expression and in vivo DNA binding data. We demonstrate the utility of this tool with examples from the network controlling early Drosophila development. The results obtained support the idea that the level of occupancy of a transcription factor on DNA strongly determines the degree to which the factor regulates a target gene, and in some cases also controls whether the regulation is positive or negative.

关键词： DNA Gene expression In vivo Bioinformatics data visualization Genomics Embryo

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Design and Key Technology of Urban Landscape 3D visualization System

Design and Key Technology of Urban Landscape 3D Visualizatio...

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2011 3rd International conference on Environmental Science and Information Application Technology(ESIAT 2011)

作者： Jian Tan Xiangtao Fan Fuliang Deng Center for Earth Observation and Digital Earth Chinese Academy of Sciences Institute Of Remote Sensing Application Chinese Academy of Sciences

Urban landscape 3D visualization system is the basic support system of Digital City, Digital China or Digital Earth, its research is also the key issue in the field of digital city. Therefore, this article selects urban landscape threedimensional visualization system as research object In-depth analysis of R & D requirements of urban landscape 3D visualization system, the paper examines in detail the basic system structure, key technology, and targeted improved and optimization in its data management, event handling, and three-dimensional visualization engine, the effectiveness of these methods is proved in practice. On the other hand, the content of this article is only involved based part in urban landscape 3D visualization system, the parts solved includes the system infrastructure and visualization engine, while automatic scene construction and knowledge expression issues remain to be a further study.

关键词： Urban,landscape visualization,system,Design

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Geospatial Web Service for Remote Sensing data visualization

Geospatial Web Service for Remote Sensing Data Visualization

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International conference on Advanced Information Networking and Applications (AINA)

作者： Chunyang Hu Yongwang Zhao Jing Li Dianfu Ma Xuan Li Institute of Advanced Computing Technology (ACT Lab) Beihang University Beijing China China Academy of Space Technology Beijing China

The widely used geospatial web services technology has provided a new means for geospatial data interoperability. Web Map Service (WMS) is a standardized geospatial web service from the Open Geospatial Consortium (OGC). WMSs can be used for requesting and producing maps on the Internet, and have been widely adopted in the Geographic Information System (GIS) community. These WMSs make remote sensing data available to a wider range of public users than ever before. However, the performance of current OGC-Compatible WMS servers can not satisfy the need of massive remote sensing data visualization. To implement a performance-optimized WMS server, we propose a global remote sensing data hierarchical model based on tile imagery pyramid and quad tree techniques for data organization and index, and adopt Hilbert curve allocation method (HCAM) for data placement. On this basis, we implement an OGC compatible tiled WMS and a service wrapper for mapping WMS to Web Services. Finally, we evaluate the tiled WMS server using real remote sensing datasets. Experiment results demonstrate a high-performance data access.

关键词： Tiles Servers Remote sensing Geospatial analysis Web services data models Pixel

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Research of direction-based search algorithm in distributed P2P network

Research of direction-based search algorithm in distributed ...

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International conference on Multimedia Technology

作者： Jinling Liu Hong Zhou Computer Engineering Faculty HuaiyinInstitute of Technology Huaian China

ISBN: (纸本)9781612847719

Based on the concept of the flooding algorithm and its improved algorithm the search algorithm in P2P networks is proposed based on the direction. This algorithm dynamically generates a search tree taken the source point to be its root which makes the search processing along the search tree. By this algorithm the production of redundant search packets can be effectively avoided in the search process, the network bandwidth can be saved and the efficiency and network performance can be improved. The analysis on experimental results of two dimensional digital data and image data fully reflects the effectiveness and feasibility of this algorithm in the search process, document.

关键词： Algorithm design and analysis Network topology Heuristic algorithms visualization Mathematical model Peer to peer computing Computers

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The Kukui Cup: A Dorm Energy Competition Focused on Sustainable Behavior Change and Energy Literacy

The Kukui Cup: A Dorm Energy Competition Focused on Sustaina...

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Annual Hawaii International conference on System Sciences (HICSS)

作者： Robert S. Brewer George E. Lee Philip M. Johnson Collaborative Software Development Laboratory Department of Information and Computer Sciences University of Hawaii Mānoa Honolulu HI USA

The Kukui Cup is an advanced dorm energy competition whose goal is to investigate the relationships among energy literacy, sustained energy conservation, and information technology support of behavior change. Two general purpose open source systems have been implemented: WattDepot and Makahiki. WattDepot provides enterprise-level collection, storage, analysis, and visualization of energy data. Makahiki is a web application framework that supports dorm energy competitions of varying degrees of complexity, including a personalized homepage where participants can complete tasks designed to increase energy literacy that can be verified by competition administrators. The technology and approach will be evaluated in a dorm energy competition to take place in the Spring of 2011, with hundreds of University freshmen. The energy use of each pair of dormitory floors will be metered in near-realtime, and the energy literacy of participants will be assessed before and after the competition.

关键词： Servers Electricity Software Energy conservation Educational institutions data visualization Buildings

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Three-dimensional Characteristics of the Loess's microstructure and comparison before and after collapse

Three-dimensional Characteristics of the Loess's microstruct...

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International conference on Remote Sensing, Environment and Transportation Engineering (RSETE)

作者： Donghe Ma Changming Wang Pengran Song Rong Lin Xianwei Zhang College of Construction Engineering Jilin University Changchun China Institute of Rock and Soil Mechanics State Key Laboratory of Geomechanics and Geotechnical Engineering Chinese Academy and Sciences Wuhan China

Microstructure surface undulation is an important parameter to denote the loess microstructure characteristics, but the current studies are mostly qualitative and quantitative two-dimensional analysis, which difficult to reflect the situation of soil microstructure surface undulation. analysis based on the microstructure characteristics of loess in western Liaoning, translate the gray value which extracted from SEM image into the elevation data of loess microstructure surface, constitute the three-dimensional digital images of Loess's microstructure surface undulation before and after collapse, proposing SEM photographs three-dimensional visualization method and characterization parameters. This method is simple to implement, and can intuitively observe the structure of the Loess's microstructure surface undulation before and after collapse. Through improved projective covering method, calculate the loess's fractal dimension before collapse is 2.508, but 2.590 after collapse, this shows that loess after collapse, microstructure surface undulation extent is increased, and pore complexity extent significant increased.

关键词： Microstructure Fractals Histograms Soil Digital images data visualization Indexes

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3D Terrain visualization for Mountain Taishan

3D Terrain Visualization for Mountain Taishan

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2011 IEEE International conference on Spatial data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

作者： Tengfei Xue Ranran Yang Zhanqiang Chang College of Resources Environment and Tourism Capital Normal University Beijing 100048China College of Resources Environment and Tourism Capital Normal University Beijing 100048China Key La

Three-dimensional (3D) terrain visualization is the main content of 3D GIS. As a branch of computer graphics, it is a subject about the display, simplification, simulation of digital terrain model (DTM) or digital elevation model (DEM). It can simulate 2D image of 3D terrain fast and realistically. Through the combination of high-resolution remote sensing images and DEM, 3D terrain visualization can reproduce highly realistic terrain, which has become a research hot spot. Mountain Taishan, a famous scenic area, boasts not only its splendid culture but also its special landform. It is significant to visualize its terrain with 3D technology. Firstly, on basis of dissertating the related concept and function, the main flow is studied and planned, which points out the data sources and processing steps. Secondly, by using available remote sensing image (ETM+), DEM (SRTM) and digitalized vector data of geographic elements, we created terrain model in TIN generation algorithm within the data platform ArcGIS, and achieved dynamic display of 3D scene, information query and spatial analysis. The results show that slopes in Mountain Taishan mostly range from 10 to 30 degrees, and the proportion of sunny slope weighs larger. Finally, the research achievement and its applicability are discussed. The research results will be helpful for the tourism planning and development, agricultural production, and geological investigation in Taishan area.

关键词： 3D terrain visualization Taishan remote sensing DEM

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visualization and synthesis of data using manifold learning based on Locally Linear Embedding

Visualization and synthesis of data using manifold learning ...

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Colombian conference on Computing (CCC)

作者： Andrés M. Álvarez-Meza Juliana Valencia-Aguirre Genaro Daza-Santacoloma Carlos D. Acosta-Medina German Castellanos-Domínguez Signal Processing and Recognition Group Universidad Nacional de Colombia sede Manizales Manizales Colombia Universidad Antonio Nariño Sede circunvalar Bogota Colombia

In this paper we analyze high-dimensional data by means of the manifold learning algorithm Locally Linear Embedding. We employ this method to visually analyze both artificial and real-world datasets lying on nonlinear structures, comparing its transformations against the traditional feature extraction technique Principal Components analysis. Moreover, we propose a data synthesis scheme based on manifold learning that allows to represent the observations in a low-dimensional space, and then we learn the underlying data structure to properly infer unknown samples. The synthesis results are compared against an interpolation technique that directly estimates unknown samples in the input space. According to the obtained results, the employed manifold learning method improves the data representability, suitably computing low-dimensional transformations of the observations, and properly synthesizing new samples with low relative errors.

关键词： Manifolds Noise Principal component analysis visualization Training Algorithm design and analysis data structures

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From movement tracks through events to places: Extracting and characterizing significant places from mobility data

From movement tracks through events to places: Extracting an...

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Gennady Andrienko Natalia Andrienko Christophe Hurter Salvatore Rinzivillo Stefan Wrobel Fraunhofer Institute IAIS (Intelligent Analysis and Information Systems) University of Bonn Germany DGAC/DTI Research and Development ENAC University of Toulouse III France KDDLab ISTI CNR Pisa Italy

We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving objects. It is oriented to a class of problems where it is required to determine significant places on the basis of certain types of events occurring repeatedly in movement data. The procedure consists of four major steps: (1) event extraction from trajectories; (2) event clustering and extraction of relevant places; (3) spatio-temporal aggregation of events or trajectories; (4) analysis of the aggregated data. All steps are scalable with respect to the amount of the data under analysis. We demonstrate the use of the procedure by example of two real-world problems requiring analysis at different spatial scales.

关键词： Trajectory Context data mining visualization Aggregates Time series analysis Clustering algorithms

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Interactive analysis of Likert scale data using a multichart visualization tool 11

Interactive analysis of Likert scale data using a multichart...

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Proceedings of the 10th Brazilian Symposium on Human Factors in Computing Systems and the 5th Latin American conference on Human-Computer Interaction

作者： Fabio Petrillo André Suslik Spritzer Carla Dal Sasso Freitas Marcelo Pimenta Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

ISBN: (纸本)9788576692577

Likert scale data correspond to data collected from questionnaires, where there are several statements about a fact, situation, design or technique, and the respondents must specify their level of agreement with each statement by marking one of several ordered alternatives. Often, five choices are posed to respondents (strongly agree, agree, neither agree nor disagree, disagree and strongly disagree) for each statement. data obtained with such surveys are translated to numerical scores to undergo statistical analysis, and are presented graphically in a number of different ways. When evaluating information visualization techniques, for comparison purposes it is often necessary to apply the same Likert-scale based questionnaire to different views or techniques. Most of the existing tools, however, do not support the simultaneous analysis of multiple Likert scale datasets. This paper presents an interactive visualization technique to help the analysis of Likert scale data obtained from several, alternative sources. The technique is based on a hybrid table and bar chart view, and provides different interactive tools to support data exploration. We describe the use of our tool in a case study where we compare different graph layouts.

关键词： Likert scale user interfaces information visualization

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