Article
Multidisciplinary Sciences
Michael E. Deagen, Jamie P. McCusker, Tolulomo Fateye, Samuel Stouffer, L. Cate Brinson, Deborah L. McGuinness, Linda S. Schadler
Summary: This article presents the use of bespoke, interactive data graphics for visual exploration of a knowledge graph. By modeling charts as metadata that describe semantic and visual context, and utilizing SPARQL and Vega-Lite grammars, interactive data graphics synchronized to the knowledge graph can be concisely specified. Published charts populate a browsable gallery in the database.
Article
Environmental Sciences
Ming Li, Yang Wang, Honghai Xue, Lei Wu, Ying Wang, Chunqing Wang, Xingai Gao, Zhonghe Li, Xi Zhang, Mudassir Hasan, Mansoor Alruqi, Awais Bokhari, Ning Han
Summary: In recent years, there has been increasing attention to the environmental pollution caused by microplastics. This study conducted a bibliometric analysis to evaluate the development and trends in microplastics research. The results revealed that China and the United States are the leading countries in microplastics research, and the study is multidisciplinary, involving various fields such as ecology, chemistry, and environmental science.
Article
Chemistry, Analytical
Mariusz R. Rzasa, Beata Czapla-Nielacna
Summary: Vortex flow meters are used to measure the flow of gases and liquids by detecting the frequency of vortices generated in the flowing fluid. The shape of the vortex shedder affects the stability and generation of vortices, leading to the determination of the optimal measurement position and factors influencing vortex frequency through the study of different shedder shapes.
Article
Computer Science, Software Engineering
S. Wolligandt, T. Wilde, C. Roessl, H. Theisel
Summary: The Double Gyre flow model by Shadden et al. is a standard benchmark data set for calculating hyperbolic Lagrangian Coherent Structures in flow data. A new benchmark data set with closed-form hyperbolic trajectories is proposed, allowing for the computation of hyperbolic LCS boundaries by simple particle integration without considering the flow map gradient. This approach serves as ground truth solution for testing existing numerical methods and generates hyperbolic LCS curves significantly longer than current numerical methods.
COMPUTER GRAPHICS FORUM
(2021)
Article
Immunology
Thomas Liechti, Lukas M. Weber, Thomas M. Ashhurst, Natalie Stanley, Martin Prlic, Sofie Van Gassen, Florian Mair
Summary: High-dimensional cytometry experiments measuring 20-50 cellular markers have become routine, requiring added rigor in experimental planning and data analysis to avoid misinterpretation of results. This article discusses common pitfalls encountered during high-dimensional cytometry data analysis and provides a basic framework and recommendations for reporting and analyzing these datasets.
Article
Computer Science, Software Engineering
Eric Morth, Stefan Bruckner, Noeska N. Smit
Summary: Visual stories are a powerful tool for communicating specific information to a diverse audience. Scrollytelling, a technique widely used on the web, allows content to appear or change as users scroll up or down a page. This article presents a novel approach for creating, editing, and presenting data-driven scientific narratives using scrollytelling. The approach integrates various types of media and visualization techniques, and demonstrates the effectiveness through case studies and user research.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Richen Liu, Xiaodong Wen, Meng Jiang, Guang Yang, Chuyu Zhang, Xiaojian Chen
Summary: The proposed client-server based collaborative visualization system, comprising a 3D volume explorer and a 2D slice analyzer, enables domain experts to leverage their domain knowledge to illustrate different parts of the data efficiently.
SOFTWARE-PRACTICE & EXPERIENCE
(2021)
Article
Multidisciplinary Sciences
Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman
Summary: Traditionally, scientists have placed more emphasis on communicating inferential uncertainty rather than outcome variability. However, this study reveals that solely focusing on inferential uncertainty can lead to significant misunderstandings about the implications of scientific results. In contrast, visualizing both inferential uncertainty and outcome variability provides a more accurate perception of results without altering other subjective impressions.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Computer Science, Software Engineering
Chaoli Wang, Jun Han
Summary: Since 2016, there has been a significant growth in the research of artificial intelligence and visualization (AI+VIS). However, existing survey articles mainly focus on visual analytics and information visualization, neglecting scientific visualization. This article surveys deep learning works in the field of scientific visualization, specifically in the direction of DL4SciVis: designing deep learning solutions for solving scientific visualization problems. The works are classified and discussed based on six dimensions, and the article concludes with a discussion of the remaining gaps and challenges in this field.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Peikun Xiong, Shigeru Fujita, Masakazu Watanabe, Takashi Tanaka, Dongsheng Cai
Summary: This study introduces a new numerical method for identifying and visualizing the terrestrial magnetic field topology in a large-scale three-dimensional global MHD simulation. The method successfully visualizes the magnetic field topology of the Earth's magnetosphere and identifies the neutral lines. This research helps us understand various nonlinear magnetospheric dynamics and phenomena.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Hardware & Architecture
Han-Wei Shen
Summary: This article highlights the research published in IEEE Transactions on Visualization and Computer Graphics.
Article
Optics
Changyoon Yi, Jaewoo Jung, Jeongmyo Im, Kyung Chul Lee, Euiheon Chung, Seung Ah Lee
Summary: We propose a single-shot wide-field imaging method called rolling shutter speckle imaging (RSSI), which utilizes the short time intervals between each row of a rolling shutter CMOS image sensor to map the local temporal intensity decorrelations of dynamic speckle fields. The method generates elongated speckle patterns on the image sensor and quantifies temporal decorrelations from row-by-row intensity correlations (RICs) within a single image. Experimental results show that RSSI can map flow rate distributions in cerebral blood vessels with the correction of static scattering, making it a powerful and cost-effective imaging tool for in vivo quantitative blood flow measurements.
Article
Computer Science, Interdisciplinary Applications
Christa Kelleher, Anna Braswell
Summary: Scientific visualizations are essential for communicating results, especially in the context of large datasets. Considerations for visualization of big data include decisions on aggregation, grouping, and complex data representation in multi-dimensional space, along with examples and recommendations for effective visualization.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Mechanics
Mengqi Li, Zhaomiao Liu, Yan Pang, Ju Wang, Shanshan Gao, Siyu Zhao, Dezhi Li
Summary: The study found that the capillary number has a significant impact on the flow behavior of droplets in cylindrical microchannels. Different flow patterns and fluid characteristics of droplets can be observed within varying ranges of the capillary number.
Article
Energy & Fuels
Jiafeng Wang, Zhifu Zhou, Bin Chen, Tao Yang, Lu Zhang, Alexandros Romeos, Athanasios Giannadakis, Thrassos Panidis
Summary: Flashing spray occurs when a saturated liquid is discharged into a gaseous environment at a lower pressure, and the internal flow plays a crucial role in determining the behavior of the external flashing spray. In this study, the transient effect of iso-pentane working medium was investigated, specifically focusing on the combined effect of superheat level and injection pressure. Different stable spray patterns were observed under different injection pressures, ranging from non-shattering to completely shattering, and a correlation between the spray cone angle and the shattering index was proposed. In addition, the formation of high-void-fraction internal two-phase flow in partially shattering or completely shattering patterns led to a hysteretic flashing spray with significant changes in spray cone angle and droplet concentration.
Article
Computer Science, Software Engineering
Tobias Guenther, Holger Theisel
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Tobias Gunther
IEEE COMPUTER GRAPHICS AND APPLICATIONS
(2020)
Article
Computer Science, Software Engineering
Nemanja Bartolovic, Markus Gross, Tobias Gunther
COMPUTER GRAPHICS FORUM
(2020)
Article
Computer Science, Software Engineering
Jakob Jakob, Markus Gross, Tobias Guenther
Summary: Recent years have seen deep learning create numerous research opportunities across various disciplines, particularly focusing on the application of visualization to explore and explain neural networks. In this paper, a large fluid flow dataset is constructed and utilized in a deep learning problem in scientific visualization, aiming to improve post-hoc Lagrangian fluid flow analysis through deep convolutional neural networks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Marco Ancona, Marilou Beyeler, Markus Gross, Tobias Guenther
Summary: Corporate meetings are crucial for business activities, but little work has been done to facilitate retrospective reasoning about time spent on meetings. MineTime Insight is a tool for exploring personal calendar data to improve scheduling decisions, with results showing positive impact on users.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Meteorology & Atmospheric Sciences
Tobias Guenther, Akos Horvath, Wayne Bresky, Jaime Daniels, Stefan Alexander Buehler
Summary: This study demonstrates the use of Lagrangian Coherent Structures as a diagnostic tool for assessing the quality of satellite cloud-motion wind fields, in order to explain the temporal dynamics of cloud patterns. Through case studies of an atmospheric Karman vortex street and 2D cylinder flow, the suitability and expressiveness of various flow visualization methods are discussed.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Mechanics
Holger Theisel, Markus Hadwiger, Peter Rautek, Thomas Theussl, Tobias Guenther
Summary: This paper discusses the concept of reference frame optimization and objectivity, analyzes and discusses the variational formulation recently proposed, pointing out errors in some previous studies' understanding of objectivity.
Article
Computer Science, Software Engineering
Nicholas Ingulfsen, Simone Schaub-Meyer, Markus Gross, Tobias Guenther
Summary: Researchers have developed an interactive 3D globe visualization tool for exploring or researching online news articles in large datasets. They use clustering techniques to represent the related locations of news articles on the globe and provide navigation, search, and interactive filtering functions.
IEEE COMPUTER GRAPHICS AND APPLICATIONS
(2021)
Article
Geosciences, Multidisciplinary
Lukas Boesiger, Michael Sprenger, Maxi Boettcher, Hanna Joos, Tobias Guenther
Summary: Jet streams are fast air flows that interact with other atmospheric structures and have a significant impact on midlatitude weather evolution. Extracting the geometry of jet streams can help deepen our understanding of meteorological processes.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Proceedings Paper
Computer Science, Software Engineering
Ramon Witschi, Tobias Guenther
2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020)
(2020)
Proceedings Paper
Computer Science, Software Engineering
Marzieh Berenjkoub, Guoning Chen, Tobias Gunther
2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020)
(2020)
Article
Computer Science, Software Engineering
Irene Baeza Rojo, Markus Gross, Tobias Gunther
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Irene Baeza Rojo, Tobias Guenther
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Irene Baeza Rojo, Markus Gross, Tobias Guenther
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Article
Computer Science, Software Engineering
Robin Bader, Michael Sprenger, Nikolina Ban, Stefan Ruedisuehli, Christoph Schaer, Tobias Guenther
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)