Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps...
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ISBN:
(纸本)9798350330281
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps, yet these can misrepresent the data. We examine the suitability of four alternative visualizationmethods for depicting voltage data in a geographically dense distribution system-Voronoi polygons, H3 tessellations, S2 tessellations, and a network-weighted contour map. We find that Voronoi tessellations and network-weighted contour maps more accurately represent the statistical distribution of the data than regular contour maps.
Extreme wind phenomena play a crucial role in the efficient operation of wind farms for renewable energy generation. However, existing detection methods are computationally expensive, limited to specific coordinate. I...
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ISBN:
(纸本)9798350330281
Extreme wind phenomena play a crucial role in the efficient operation of wind farms for renewable energy generation. However, existing detection methods are computationally expensive, limited to specific coordinate. In real-world scenarios, understanding the occurrence of these phenomena over a large area is essential. Therefore, there is a significant demand for a fast and accurate approach to forecast such events. In this paper, we propose a novel method for detecting wind phenomena using topologicalanalysis, leveraging the gradient of wind speed or critical points in a topological framework. By extracting topological features from the wind speed profile within a defined region, we employ topological distance to identify extreme wind phenomena. Our results demonstrate the effectiveness of utilizing topological features derived from regional wind speed profiles. We validate our approach using high-resolution simulations with the Weather Research and Forecasting model (WRF) over a month in the US East Coast.
The problem of tracking and visualizing cyclones is still an active area of climate research, since the nature of cyclones varies depending on geospatial location and temporal season, resulting in no clear mathematica...
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ISBN:
(数字)9781665493543
ISBN:
(纸本)9781665493543
The problem of tracking and visualizing cyclones is still an active area of climate research, since the nature of cyclones varies depending on geospatial location and temporal season, resulting in no clear mathematical definition. Thus, many cyclone tracking methods are tailored to specific datasets and therefore do not support general cyclone extraction across the globe. To address this challenge, we present a conceptual application for exploring cyclone evolution by organizing the extracted cyclone tracks into hierarchical groups. Our approach is based on extrema tracking, and the resulting tracks can be defined in a multi-scale structure by grouping the points based on a novel feature descriptor defined on the merge tree, so-called crown features. Consequently, multiple parameter settings can be visualized and explored in a level-of-detail approach, supporting experts to quickly gain insights on cyclonic formation and evolution. We describe a general cyclone exploration pipeline that consists of four modular building blocks: (1) an extrema tracking method, (2) multiple definitions of cyclones as groups of extrema, including crown features, (3) the correlation of cyclones based on the underlying tracking information, and (4) a hierarchical visualization of the resulting feature tracks and their spatial embedding, allowing exploration on a global and local scale. In order to be as flexible as possible, our pipeline allows for exchanging every module with different techniques, such as other tracking methods and cyclone definitions.
The paper presents analysis of time series usage for the evaluation of biological systems’ functioning with a specific emphasis on applications in aviation and human factors. analysis of the functional state of aviat...
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The increasing complexity of these data and their related interactions (e.g., interactions between biological systems, genes, proteins, and neurons) requires an appropriate approach, which is realized through network ...
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The paper presents the first results of the metric and geometric investigations carried out in the analysis of the stamps on Greek-Italic amphorae of Neapolitan production, found during the archaeological excavation o...
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The paper presents the first results of the metric and geometric investigations carried out in the analysis of the stamps on Greek-Italic amphorae of Neapolitan production, found during the archaeological excavation of Piazza Nicola Amore, in Naples, Italy. The experiments were carried out with a view to defining a methodological process useful on the one hand to document in a digital archive the three-dimensional morphology of the artefact under investigation, and on the other to allow new readings, through a manipulation of the data that goes beyond the physical limits of the artefact itself. In particular, the research presented here proposes the topological investigation for the identification of stamps obtained from the same punch and therefore the possibility of ideally reconstructing the printing matrix. Since the stamps left by the punches on the amphorae are impressed at millimetric depths, the stamps are not always easy to read using traditional archaeological documentation methods. The research operations therefore began with the digitisation of a substantial number of finds by means of three-dimensional, reality-based surveys of sub-millimetre detail. Before proceeding with specific correspondence analyses, the archaeological classification based on the typological similarities of the marks was of great support.
Although with some discrepancy, both in common law and in civil law systems, previous judgments play an important role with respect to future decisions. Traditional legal methodologies usually involve the use of manua...
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ISBN:
(纸本)9783031220357;9783031220364
Although with some discrepancy, both in common law and in civil law systems, previous judgments play an important role with respect to future decisions. Traditional legal methodologies usually involve the use of manual rather than automatic keyword search mechanisms to retrace the steps of the judicial decision-making. However, these methods are generally highly time-consuming and can be subject to different types of biases. In this work, we present an automated extraction pipeline to map and structure citations in rulings regarding fiscal state aids in the case-law of the Court of Justice of the European Union. In particular, by exploiting the available XML data in the EUR-Lex platform, we built an end-to-end parser based on a set of regular expressions and heuristics, which is able to iteratively extract all citations, finally creating a hierarchical structure of citations with their contextual information at the paragraph level. Such data structure can be projected into a graphical representation, enabling useful visualization and exploration features and insights, such as the diachronic study of the development of specific citations and legal principles over time. Our work suggests how the exploitation and analysis of citation networks through automated means can provide significant tools to support traditional legal methodologies.
The proceedings contain 20 papers. The special focus in this conference is on topologicalmethods in dataanalysis and visualization. The topics include: Eigenvector-based interpolation and segmentation of 2D tensor f...
ISBN:
(纸本)9783642543005
The proceedings contain 20 papers. The special focus in this conference is on topologicalmethods in dataanalysis and visualization. The topics include: Eigenvector-based interpolation and segmentation of 2D tensor fields;time-dependent visualization of lagrangian coherent structures by grid advection;topological extraction and tracking of defects in crystal structures;extracting and visualizing structural features in environmental point cloud lidar data sets;topological flow structures in a mathematical model for rotation-mediated cell aggregation;a categorical approach to contour, split and join trees with application to airway segmentation;complementary space for enhanced uncertainty and dynamics visualization;topological feature extraction for comparison of terascale combustion simulation data;stripe parameterization of tubular surfaces;feature tracking using reeb graphs;the stability of the apparent contour of an orientable 2-manifold;reconstructing cell complexes from cross-sections;substructure topology preserving simplification of tetrahedral meshes;practical considerations in morse-smale complex computation;modeling and simplifying morse complexes in arbitrary dimensions;simplification of jacobi sets;combinatorial 2D vector field topology extraction and simplification;preface.
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps...
Electrical grids are geographical and topological structures whose voltage states are challenging to represent accurately and efficiently for visual analysis. The current common practice is to use colored contour maps, yet these can misrepresent the data. We examine the suitability of four alternative visualizationmethods for depicting voltage data in a geographically dense distribution system—Voronoi polygons, H3 tessellations, S2 tessellations, and a network-weighted contour map. We find that Voronoi tessellations and network-weighted contour maps more accurately represent the statistical distribution of the data than regular contour maps.
The proceedings contain 18 papers. The special focus in this conference is on topologicalmethods in dataanalysis and visualization. The topics include: topological Feature Search in Time-Varying Multifield data;tens...
ISBN:
(纸本)9783030834999
The proceedings contain 18 papers. The special focus in this conference is on topologicalmethods in dataanalysis and visualization. The topics include: topological Feature Search in Time-Varying Multifield data;tensor Fields for data Extraction from Chart Images: Bar Charts and Scatter Plots;a Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space;topologically Robust B-spline Reconstruction of Fibers from 3D Images;introduction to Vector Field Topology;an Overview of the Topology ToolKit;implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit;Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives;mergemaps: Treemaps for Scientific data;notes on Percolation analysis of Sampled Scalar Fields;distributed Task-Parallel Topology-Controlled Volume Rendering;topology-Based Feature Design and Tracking for Multi-center Cyclones;using Contour Trees in the analysis and visualization of Radio Astronomy data Cubes;objective Finite-Time Flow Topology from Flowmap Expansion and Contraction;coreline Criteria for Inertial Particle Motion;implicit visualization of 2D Vector Field Topology for Periodic Orbit Detection.
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