Browsing by Author "Dang, Tommy"

Now showing 1 - 5 of 5
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    Congnostics: Visual Features for Doubly Time Series Plots
    (The Eurographics Association, 2020) Nguyen, Bao Dien Quoc; Hewett, Rattikorn; Dang, Tommy; Turkay, Cagatay and Vrotsou, Katerina
    In this paper, we propose an analytical approach to automatically extract visual features from doubly time series capturing the unusual associations which are not otherwise possible by investigating individual time series alone. We have extended the visual measures for 2D scatterplots, incorporated univariate time series analysis, and proposed new visual features for doubly time series plots. These measures are discussed and demonstrated via visual examples to clarify their implications and their effectiveness. The results show that distributions, trend, shape, noise, among other characteristics, can be used to uncover the latent features and events in temporal datasets.
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    DualNetView: Dual Views for Visualizing the Dynamics of Networks
    (The Eurographics Association, 2020) Pham, Vung; Nguyen, V. T. Ngan; Dang, Tommy; Turkay, Cagatay and Vrotsou, Katerina
    The force-directed layout is a popular visual method for revealing network structures, such as clusters and important vertices. However, it is not capable of representing temporal patterns, such as how clusters/communities evolve. Dynamic network visualizations trade the overall structures for temporal relationships. In this paper, we present a dual view framework for capturing both overall structures and temporal patterns within networks. The linked supplemental views utilize the strengths of both visualization techniques to provide useful insights into the given networks. To demonstrate the usefulness of our proposed dual views, we provide three use cases of dynamic networks: computer networks communications, activities of suspicious processes in computer systems, and social networks.
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    Multi-resolution Analysis for Vector Plots of Time Series Data
    (The Eurographics Association, 2021) Nguyen, Bao; Hewett, Rattikorn; Dang, Tommy; Vrotsou, Katerina and Bernard, Jürgen
    Vector plots can directly visualize both temporal variation and spatial distribution, so it is interesting to use this type of plot for displaying multivariate time series. However, vector plots cannot reveal global temporal information. This paper introduces an interactive visualization that allows comparisons between different resolutions for easing this limit. The proposed approach is applied to two real data to demonstrate its benefits and potential.
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    SOAViz: Visualization for Portable X-ray Fluorescence Soil Profiles
    (The Eurographics Association, 2019) Pham, Vung; Dang, Tommy; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    The soil is an essential element of life. It is where people grow plants for food, fibers, and other materials. It also helps to filter water and recycles wastes. Therefore, understanding soil physical/chemical characteristics and structural aggregation are of vital importance. In this project, we work closely with the soil scientists to develop a visualization solution to the rapidly gaining favor approach to soil horizon analysis using Portable X-ray Fluorescence (pXRF) devices. Our visualization, called SOAViz, aims to provide soil scientists with rapid valuable insights into soil properties both visually perceptible with graphs and imperceptible quantification features with statistical calculations from the data collected from pXRF equipment. SOAViz was developed with analysis tasks solicited from the soil scientists and validated by applying to real soil profiles collected in an Experimental Rangeland in Lubbock, TX, USA. This visual solution together with the quick scanning results from pXRF devices offers a timely means of quantifying elemental concentrations in the soil horizons in large scale at a reduced cost.
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    SoilScanner: 3D Visualization for Soil Profiling using Portable X-ray Fluorescence
    (The Eurographics Association, 2020) Pham, Vung; Weindorf, David; Dang, Tommy; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    Soil scientists perform similar types of exploratory analysis repeatedly, such as generating the spatial distribution of chemical elements. The soil analysis process is time-consuming (may take days or weeks), labor-intensive (involving many people with different expertise for data collection, measurements, visual representation, and data analysis), and involving various tools (from traditional software, such as Microsoft Excel, to some complicated packages such as ArcGIS and MatLab). Inspired by medical scanning, this paper proposes a 3D visual solution, which can be generated via a web interface, allowing Soil scientists to perform on-the-field analysis. Our visualization prototype, named SoilScanner, supports a full range of interactive operations, such as ranking, filtering, brushing and linking, and detail on demand. We also demonstrated the usability of our SoilScanner visualizations on the soil profiles in West Texas, USA, collected via portable X-ray fluorescence spectrometers.