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MULTISCALE visualIZATION OF RELATIONAL dataBASES USING LAYERED ZOOM TREES AND PARTIAL data CUBES

MULTISCALE VISUALIZATION OF RELATIONAL DATABASES USING LAYER...

2nd Int conference on Imaging Theory and Applications and 1st Int conference on Information visualization Theory and Applications

作者： Wang, Baoyuan Chen, Gang Bu, Jiajun Yu, Yizhou Zhejiang Univ Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China Univ Illinois Urbana IL 61801 USA Zhejiang Univ Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9789896740276

The analysis and exploration necessary to gain deep understanding of large databases demand an intuitive and informative human-computer interface. In this paper, we present a visualization system with a client-server architecture for multiscale visualization of relational databases. The visual interface on the client supports web-based remote access. We use zoom trees to represent the entire history of a zooming process that reveals multiscale details. Every path in a zoom tree represents a zoom path and every node in the tree can have an arbitrary number of subtrees to support arbitrary branching and backtracking. Zoom trees are seamlessly integrated with a table-based overview using "hyperlinks" embedded in the table. To support fast query processing on the server, we further develop efficient GPU-based parallel algorithms for online data cubing and CPU-based data clustering. Also, a user study was conducted to evaluate the effectiveness of our design.

关键词： database visualization data cubes H-tree GPGPUs

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Venice unfolding: A tangible user interface for exploring faceted data in a geographical context 10

Venice unfolding: A tangible user interface for exploring fa...

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Proceedings of the 6th Nordic conference on Human-Computer Interaction: Extending Boundaries

作者： Nagel, Till Heidmann, Frank Condotta, Massimiliano Duval, Erik University of Applied Sciences Potsdam Pappelallee 8-9 14469 Potsdam Germany Università Iuav di Venezia Tolentini S. Croce 191 Venezia Italy Katholieke Universiteit Leuven Celestijnenlaan 200A 3001 Heverlee Belgium

ISBN: (纸本)9781605589343

We introduce Venice Unfolding, a case study on tangible geo-visualization on an interactive tabletop to enable the exploration of architectural projects in Venice. Our tangible user interface consists of a large display showing projects on a map, and a polyhedral object to browse these data interactively by selecting and filtering various metadata facets. In this paper we describe a prototype employing new methods to communicate territorial data in visual and tangible ways. The object reduces the barrier between the physical world and virtual data, and eases the understanding of faceted geographical data, enabling urban planners and citizens alike to participate in the discovery and analysis of information referring to the physical world. © 2010 ACM.

关键词： Urban planning

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DESIGN OF DEEP FOUNDATIONS ON BORED PILES 10

DESIGN OF DEEP FOUNDATIONS ON BORED PILES

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10th International conference on Modern Building Materials, Structures and Techniques

作者： Gabrielaitis, Linas Papinigis, Vytautas Vilnius Gediminas Tech Univ Sauletekio Ave 11 LT-10223 Vilnius Lithuania

ISBN: (纸本)9789955285946

The paper describes the design of pile foundation on the site of the Elektrenai power plant, Lithuania. The foundation is aimed to support equipment of the power plant consisting of the gas turbine, the steam turbine and the generator. Besides high loads, the equipment had a strong dynamic impact on the foundation due to its working conditions and vibration. The pilling solution was adopted due to different reasons: i) the capacity of the soil to support great stresses over it;ii) the special requirements of the main equipment about settlements, movements and stresses. Pilling foundation was evaluated through immediate settlement analysis, which was carried out employing four most widely used methods. It included analysis of the soil data from cone and dynamic penetration tests, boreholes and laboratory tests. Soil properties were estimated from site investigation and soil exploration program according to Lithuanian standards. Pile settlement analysis showed that settlement value was 14 mm (pile toe settlement), and settlement value of elastic deformation of pile from vertical compressive loads was 3 mm. For such structure, foundation settlement should not be more than 16 mm (i.e., no more than 2 % of pile diameter). It was estimated that for pile of diameter 800 mm, pile length of 24 m was sufficient to endure overall loads.

关键词： deep foundations bored piles foundation for gas and steam turbine pile settlement analysis cone penetration test

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Proceedings of the 2010 conference of the Center for Advanced Studies on Collaborative Research, CASCON'10

Proceedings of the 2010 Conference of the Center for Advance...

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2010 conference of the Center for Advanced Studies on Collaborative Research, CASCON'10

The proceedings contain 64 papers. The topics discussed include: the evolution of the CASCON community: a social network analysis;accessing data through ontologies with ONDA;improving program navigation with an active help system;requirements attributes to predict requirements related defects;F007: finding rediscovered faults from the field using function-level failed traces of software in the field;testing sequence diagram to colored petri nets transformation: an immune system metaphor;XPath query processing improvements;COVER model pivot view indexing for efficient XML data management;visual guidance in the exploration of large databases;aspect weaver: a model transformation approach for UML models;left or right? spatial arrangement for information presentation on large displays;and reducing data access latency in SDSM systems using runtime optimizations.

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visual analytics law enforcement toolkit

Visual analytics law enforcement toolkit

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2010 10th IEEE International conference on Technologies for Homeland Security, HST 2010

作者： Malik, Abish Maciejewski, Ross Collins, Timothy F. Ebert, David S. Purdue University Visualization and Analytics Center West Lafayette IN 47906 United States

ISBN: (纸本)9781424460472

We present VALET, a visual Analytics Law Enforcement Toolkit for analyzing spatiotemporal law enforcement data. VALET provides users with a suite of analytical tools coupled with an interactive visual interface for data exploration and analysis. This system includes linked views and interactive displays that spatiotemporally model criminal, traffic and civil (CTC) incidents and allows officials to observe patterns and quickly identify regions with higher probabilities of activity. Our toolkit provides analysts with the ability to visualize different types of data sets (census data, daily weather reports, zoning tracts, prominent calendar dates, etc.) that provide an insight into correlations among CTC incidents and spatial demographics. In the spatial domain, we have implemented a kernel density estimation mapping technique that creates a color map of spatially distributed CTC events that allows analysts to quickly find and identify areas with unusually large activity levels. In the temporal domain, reports can be aggregated by day, week, month or year, allowing the analysts to visualize the CTC activities spatially over a period of time. Furthermore, we have incorporated temporal prediction algorithms to forecast future CTC incident levels within a 95% confidence interval. Such predictions aid law enforcement officials in understanding how hotspots may grow in the future in order to judiciously allocate resources and take preventive measures. Our system has been developed using actual law enforcement data and is currently being evaluated and refined by a consortium of law enforcement agencies. © 2010 IEEE.

关键词： Population statistics

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visual design space exploration using contextual self-organizing maps

Visual design space exploration using contextual self-organi...

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13th AIAA/ISSMO Multidisciplinary analysis and Optimization conference, MAO 2010

作者： Nekolny, Brett Richardson, Trevor Winer, Eliot Department of Mechanical Engineering Human Computer Interaction Virtual Reality Applications Center Iowa State University 1620 Howe Hall Ames IA 50011 United States Department of Mechanical Engineering Virtual Reality Applications Center Iowa State University 1620 Howe Hall Ames IA 50011 United States

ISBN: (纸本)9781600869549

Self-organizing maps (SOMs) and contextual maps are methods of visualizing high dimensional data in a low dimensional space. SOMs have previously been applied to visualize characteristics of optimization problems by generating maps of the component variables to compare interactions and relationships between design variables. In this paper, SOMs and contextual maps are explored as a visualization method to directly visualize the design space. Using the techniques described in the paper, high dimensional datasets are reduced to a 2D, human readable, visual map. Preliminary results show that the topology of three optimization functions using varying dimensionality can be clustered and visualized using contextual maps, and information can be gathered from these clusters including objective function values and variability amongst differing areas of the design space. This paper focuses on the use of contextual maps to extract valuable information such as modality and curvature to aid in future work such as selection of appropriate optimization algorithm and initial point for a solution run. © 2010 by Eliot Winer.

关键词： Self organizing maps

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Variability analysis and Change Characterization of HSI data for Urban Mapping

Variability Analysis and Change Characterization of HSI Data...

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conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI

作者： Kruse, F. A. Olsen, R. C. USN Postgrad Sch Monterey CA 93943 USA

ISBN: (纸本)9780819481597

Urban areas are highly variable in remote sensing data, thus it can be difficult to detect changes over time caused by development or by movement of specific targets. This research is a first attempt at exploration of repeat flights of 20m spatial resolution imaging spectrometer data to identify and characterize sources and the nature of spectral variability in urban/rural environments. data for two dates were atmospherically corrected using a MODTRAN-based model to independently correct each dataset for atmospheric effects. The data were geocorrected and co-registered then cropped to a common spatial coverage. Spectra for individual pixels and for ROIs were extracted from the two datasets and visual and statistical comparisons were made between spectra to assess the effects of collection parameters and atmospheric corrections. Spectral endmembers were determined for each flightline, mapped using spectral matching methods, and compared across flightlines. This approach allowed determination of relatively spectrally invariant areas versus areas with significant spectral change. The combined datasets were used to develop thematic layers and evaluate spectral variability versus changes principally due to urban development.

关键词： Imaging Spectrometry Hyperspectral Imaging (HSI) Spectral Variability Change Detection Urban Mapping

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Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection

Combining Evolutionary and Sequential Search Strategies for ...

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10th International conference on Artificial Intelligence and Soft Computing (ICAISC 2010)

作者： Klepaczko, Artur Materka, Andrzej Tech Univ Lodz Inst Elect PL-90924 Lodz Poland

ISBN: (纸本)9783642132315

The research presented in this paper aimed at development of a robust;feature space exploration technique for unsupervised selection of its subspace for feature vectors classification. Experiments with synthetic and textured image data sets show that current sequential and evolutionary strategies are inefficient in the cases of large feature vector dimensions (reaching the order of 102) and multiple-class problems. Thus, the proposed approach utilizes the concept of hybrid genetic algorithm and adopts it for specific requirements of unsupervised learning.

关键词： Unsupervised feature selection hybrid genetic algorithm texture analysis

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visual exploration of eye movement data using the space-time-cube

Visual exploration of eye movement data using the space-time...

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6th International conference on Geographic Information Science, GIScience 2010

作者： Li, Xia Çöltekin, Arzu Kraak, Menno-Jan ITC University of Twente P.O. Box 6 7500 AA Enschede Netherlands College of the Earth Science and Resource Chang'an University 126# Yanta Road Xi'an China Department of Geography University of Zurich Winterthurerstr. 190 CH-8057 Zurich Switzerland

ISBN: (纸本)3642152996

Eye movement recordings produce large quantities of spatio-temporal data, and are more and more frequently used as an aid to gain further insight into human thinking in usability studies in GIScience domain among others. After reviewing some common visualization methods for eye movement data, the limitations of these methods are discussed. This paper proposes an approach that enables the use of the Space-Time-Cube (STC) for representation of eye movement recordings. Via interactive functions in the STC, spatio-temporal patterns in eye movement data could be analyzed. A case study is presented according to proposed solutions for eye movement data analysis. Finally, the advantages and limitations of using the STC to visually analyze eye movement recordings are summarized and discussed. © 2010 Springer-Verlag.

关键词： Eye movements

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How Information visualization Novices Construct visualizations

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2010年第6期16卷 943-952页

作者： Grammel, Lars Tory, Melanie Storey, Margaret-Anne Univ Victoria Victoria BC V8W 2Y2 Canada

It remains challenging for information visualization novices to rapidly construct visualizations during exploratory data analysis. We conducted an exploratory laboratory study in which information visualization novices explored fictitious sales data by communicating visualization specifications to a human mediator, who rapidly constructed the visualizations using commercial visualization software. We found that three activities were central to the iterative visualization construction process: data attribute selection, visual template selection, and visual mapping specification. The major barriers faced by the participants were translating questions into data attributes, designing visual mappings, and interpreting the visualizations. Partial specification was common, and the participants used simple heuristics and preferred visualizations they were already familiar with, such as bar, line and pie charts. From our observations, we derived abstract models that describe barriers in the data exploration process and uncovered how information visualization novices think about visualization specifications. Our findings support the need for tools that Suggest potential visualizations and support iterative refinement, that provide explanations and help with learning, and that are tightly integrated into tool support for the overall visual analytics process.

关键词： Empirical study visualization visualization construction visual analytics visual mapping novices

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