Article
Computer Science, Software Engineering
Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker
Summary: The article discusses the challenges of static scatterplots on large datasets and the use of zooming to address these issues. It introduces scalable scatterplot visualizations (SSV) and presents Kyrix-S system for easy authoring of SSVs at scale.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Fabian Bolte, Mahsan Nourani, Eric D. Ragan, Stefan Bruckner
Summary: The research introduces a novel visual metaphor that can clearly illustrate the hierarchical changes in data over time and allow for clear outlining of the hierarchical structure at different time steps. The method enables smooth transitions and exploration of the balance between dynamic behavior and hierarchical structure.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Information Systems
Nicolas S. Holliman, Manu Antony, James Charlton, Stephen Dowsland, Philip James, Mark Turner
Summary: This research focuses on achieving scalable and photo-realistic terapixel visualization of urban IoT data on a cloud supercomputer. The results demonstrate efficient computation of terapixel visualization using GPU nodes in the cloud, enabling interactive browsing of the city and its data. The cost of access to cloud computing is low compared to traditional supercomputers, and the indirect cost of software development issues is expected to decrease over time.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Software Engineering
Xin Chen, Jian Zhang, Chi-Wing Fu, Jean-Daniel Fekete, Yunhai Wang
Summary: The study introduces a pyramid-based scatterplot sampling technique to avoid overplotting and allow progressive and streaming visualization of large data. By utilizing density values in the pyramid, the technique guides sampling at each scale to preserve relative data densities and outliers. Results show that the technique is competitive in quality with state-of-the-art methods and runs faster by about an order of magnitude, making it effective for exploring large datasets.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Cybernetics
Johannes Kunkel, Jurgen Ziegler
Summary: Recommender systems aim to help users in their search and decision making process by selecting a small number of relevant items from a large set of options. However, this may limit users' understanding and exploration of items in their larger context, reducing their perception of transparency and control.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Biochemistry & Molecular Biology
Wanshan Ning, Yuxiang Wei, Letian Gao, Cheng Han, Yujie Gou, Shanshan Fu, Dan Liu, Chi Zhang, Xinhe Huang, Sicheng Wu, Di Peng, Chenwei Wang, Yu Xue
Summary: This article introduces the features and advantages of Heml 2.0 software, which can be used for visualization of biomolecular expression data and enrichment analysis. Heml 2.0 offers various clustering methods and distance metrics, and provides multiple export and visualization options, offering users convenient and comprehensive analysis tools.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Computer Science, Information Systems
Tanner Hobson, James Hammer, Preston Provins, Jian Huang
Summary: In this work, a lightweight and affordable visualization cloud service is proposed as a companion service of a community dataset. The system uses a swarm-based parallel design to enable interactive visualization of large flow fields on cloud platforms. The performance and efficacies of the system are evaluated using NOAA's NCEP ensemble data on Amazon Web Services (AWS).
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Thermodynamics
Jiangping Tian, Xiaolei Zhang, Zechuan Cui, Mingyuan Ye, Yang Wang, Tiancheng Xu, Pengbo Dong
Summary: This study investigated the diesel/ammonia diffusion combustion mode and the impact of injection parameters on combustion performance. The results showed that injecting ammonia on diesel flame improved ammonia combustion completeness, while injecting ammonia before diesel resulted in incomplete combustion. Increasing ammonia injection pressure and nozzle diameter enhanced combustion performance, but excessive ammonia spray caused incomplete combustion. Interaction between diesel spray and ammonia spray was also observed.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Computer Science, Software Engineering
J. Mendez, C. Alrabbaa, P. Koopmann, R. Langner, F. Baader, R. Dachselt
Summary: OWL is a powerful language based on description logics for formalizing terminologies in an ontology, allowing automatic deduction of implicit information through logical reasoning. However, understanding the reasoning outcomes in complex ontologies can be difficult. Unlike existing tools, our visualization tool Evonne is designed to explain logical consequences and support debugging. It provides specialized views, multiple layout modes, detailed explanations, cross-view highlighting, features for dealing with visual complexity, and comparison and exploration of ontology fixes. Evaluation with 16 logic experts confirms the value of Evonne for explaining reasoning and debugging ontologies.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Software Engineering
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka
Summary: This study introduces a novel distributed union-find algorithm with asynchronous parallelism and k-d tree based load balancing for scalable visualization and analysis of scientific data. The research demonstrates that global synchronizations in existing distributed union-find can be eliminated without changing final results, allowing overlapped communications and computations for scalable processing. Additionally, the algorithm uses k-d tree decomposition to redistribute inputs and improve workload balancing.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Theory & Methods
Hugo B. Lima, Carlos G. R. Dos Santos, Bianchi S. Meiguins
Summary: Music Information Research (MIR) involves modeling and understanding music through visualizations. Papers on music visualization are categorized based on input features, visualized aspects, InfoVis techniques, interaction provided, and user evaluations, offering opportunities for identifying trends and new research directions in the MIR and InfoVis community.
ACM COMPUTING SURVEYS
(2021)
Article
Computer Science, Software Engineering
Yifan Wu, Remco Chang, Joseph M. Hellerstein, Arvind Satyanarayan, Eugene Wu
Summary: Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases, such as remote database access and streaming data sources, developers must deal with distributed data and asynchronous events. To address this, the researchers propose DIEL, a declarative framework that supports asynchronous events over distributed data.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Dora Kiesel, Patrick Riehmann, Bernd Froehlich
Summary: This paper introduces new techniques for seamless transitions between parallel coordinate plots, star plots, and scatter plots. The star plot serves as a mediator visualization between parallel coordinate plots and scatter plots, and a variant of the star plot called polycurve star plot is developed to improve space utilization and cluster detection. A geometrically motivated method is also proposed to embed scatter points into star plots and parallel coordinate plots to track the transition of structural information. The integration of these techniques into an interactive analysis tool demonstrates their advantages over a multi-view approach.
COMPUTER GRAPHICS FORUM
(2023)
Review
Biochemical Research Methods
Tallulah S. Andrews, Vladimir Yu Kiselev, Davis McCarthy, Martin Hemberg
Summary: Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology for profiling the whole transcriptome of individual cells, but analyzing the large volumes of data requires specialized statistical and computational methods. This article provides an overview of the computational workflow, common tasks and tools for addressing biological questions, as well as guidelines for best practices in computational analyses. It serves as a hands-on guide for experimentalists and an overview for bioinformaticians developing new computational methods.
Article
Computer Science, Software Engineering
J. Geiger, S. Cornelsen, J. -H. Haunert, P. Kindermann, T. Mchedlidze, M. Noellenburg, Y. Okamoto, A. Wolff
Summary: This passage discusses the analysis of point data in geographic data, proposing a new method to visualize category membership while avoiding data crossings and visual clutter. Case studies and benchmark tests were conducted, showing that their heuristics performed well in certain scenarios.
COMPUTER GRAPHICS FORUM
(2021)