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Computer Science, Software Engineering
Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, Christopher Taylor, Kevin A. Huck, Hartmut Kaiser, Katherine E. Isaacs
Summary: Understanding software behavior during execution is crucial for identifying and fixing performance issues. Collecting and analyzing execution traces can help developers discover previously unknown performance issues, making them valuable for exploratory performance analysis. However, interactive trace visualization is challenging due to data size and complexity.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Information Systems
Anton Yeshchenko, Jan Mendling
Summary: This paper presents the development of event sequence data analysis techniques in different fields and proposes an integrated framework to facilitate collaboration and research synergy across various domains.
INFORMATION SYSTEMS
(2024)
Article
Computer Science, Software Engineering
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
Summary: We explore hypergraph visualization through topological simplification using tools from topological data analysis. By transforming a hypergraph into its graph representations, we can simplify the hypergraph based on the simplification of the graph representation. Our proposed approaches allow for the combination of vertices belonging to similar sets of hyperedges and the merging of hyperedges sharing similar sets of vertices. These approaches are general, mathematically justifiable, and provide a unified framework for both vertex and hyperedge simplification.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Sara Di Bartolomeo, Yixuan Zhang, Fangfang Sheng, Cody Dunne
Summary: Temporal event sequence alignment is useful for visualizing nuanced changes and interactions over time in various domains. Sequence Braiding is a novel overview visualization method that visually aligns multiple temporal events and attribute groups simultaneously, supporting arbitrary ordering, absence, and duplication of events. Experiment results suggest that users of Sequence Braiding can understand high-level patterns and trends faster and with similar error rates compared to other methods.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Mechanics
Xin Li, Yue Zhang, Hang Yu, Zheng-Kang Lin, Hui-Jun Tan, Shu Sun
Summary: This study experimentally investigates Gortler vortices in dual-incident shock-wave/turbulent-boundary-layer interactions (dual-ISWTBLIs) in a Mach 2.48 flow. The research visualizes the flow structures of dual-ISWTBLIs and analyzes the distribution of Gortler vortices in different flow patterns.
Article
Geography
Jiangfeng She, Bo Chen, Junzhong Tan, Qiang Zhao, Rongcun Ge
Summary: This study proposes a novel method for simplifying 3D building models by considering both the model mesh and building structure. The experimental results show that the proposed method achieves a high simplification rate while maintaining the simplification quality, and the simplified building model is consistent with the original model in spatial analysis.
TRANSACTIONS IN GIS
(2022)
Article
Biochemical Research Methods
N. J. Fonseca, M. Q. L. Afonso, L. Carrijo, L. Bleicher
Summary: CONAN is a web application developed for detecting specificity determinants and function-related sites through amino acids co-variation networks analysis, with a focus on local coevolutionary constraints. The software enables the characterization of structurally and functionally relevant residue groups by automatically cross-referencing with GO terms, UniprotKb annotations, and INTERPRO.
Article
Computer Science, Software Engineering
Roy A. Ruddle, Juergen Bernard, Hendrik Lucke-Tieke, Thorsten May, Jorn Kohlhammer
Summary: This article investigates the impact of local and global alignment techniques on people's performance in judging sequence similarity. The experiment showed that the global alignment group had higher accuracy and participants' response times were influenced by the number of event types, sequence similarity, and edit types.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Jessica Magallanes, Tony Stone, Paul D. Morris, Suzanne Mason, Steven Wood, Maria-Cruz Villa-Uriol
Summary: Building a visual overview of temporal event sequences with optimal level-of-detail is an ongoing challenge. This study proposes a technique to build a multilevel overview using hierarchical aggregation and a novel cluster data representation. The technique has been implemented into a visualization system called Sequence Cluster Explorer, allowing users to explore different level-of-detail and inspect data attributes.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Jian Zhao, Mingming Fan, Mi Feng
Summary: This study proposes a system called ChartSeer that uses machine intelligence to assist analysts in monitoring the current state of exploratory visual analysis (EVA) and identifying future activities. By utilizing deep learning techniques to characterize data charts, generate visual summaries, and recommend appropriate charts, ChartSeer enables analysts to enhance their analysis and explore data variables more effectively.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Biochemistry & Molecular Biology
Tomasz Zok, Natalia Kraszewska, Joanna Miskiewicz, Paulina Pielacinska, Michal Zurkowski, Marta Szachniuk
Summary: ONQUADRO is an advanced database system that supports the study of canonical and non-canonical quadruplex structures, providing comprehensive information and functions for calculating structure parameters and statistical analysis. Users can view and download descriptions of tetrads, quadruplexes, and G4-helices. The database is freely available and can be used on both desktop computers and mobile devices.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Biochemical Research Methods
Sunny Y. Yang, David Monchaud, Judy M. Y. Wong
Summary: This article describes a G4-RNA-specific precipitation (G4RP) protocol for transcriptomic profiling of G4-RNAs. The method includes chemical cross-linking and affinity capture with a G4-specific probe, allowing comprehensive analysis of folded G4-RNAs. The protocol can be completed in 1-2 weeks and can be optimized for different experimental setups.
Article
Business, Finance
Matteo Ronzani, Marian Konstantin Gatzweiler
Summary: This study explores the risks and consequences of relying on visualizations in performance measurement, as well as the meaning-making process of visual approaches in organizations. Drawing from multimodality research, the authors discuss the interactions between different semiotic modes. Through a study of visualization practices in a major infrastructure megaproject in the UK, the paper offers insights into the lure of visualizations and theorizes about multimodal relationships.
ACCOUNTING ORGANIZATIONS AND SOCIETY
(2022)
Article
Computer Science, Software Engineering
Xuemiao Xu, Minshan Xie, Peiqi Miao, Wei Qu, Wenpeng Xiao, Huaidong Zhang, Xueting Liu, Tien-Tsin Wong
Summary: In this paper, a method using multi-layer perceptual loss in deep learning is proposed for simplifying sketches while preserving important global structures and details. The approach involves designing a multi-layer discriminator and learning weights automatically to differentiate sketches and clean lines effectively.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Artificial Intelligence
Sinh Van Nguyen, Ha Manh Tran, Marcin Maleszka
Summary: Processing 3D objects is a research field in computer graphics that involves geometric modeling and applied mathematics to describe and reconstruct 3D objects. This article introduces a comprehensive method for reconstructing 3D objects from a 3D point cloud dataset, demonstrating practical advantages in application.
APPLIED INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Jaeseok Huh, Moon-jung Chae, Jonghun Park, Kwanho Kim
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Green & Sustainable Science & Technology
Jaeseok Huh, Inbeom Park, Seongmin Lim, Bohyung Paeng, Jonghun Park, Kwanho Kim
Article
Automation & Control Systems
In-Beom Park, Jaeseok Huh, Joongkyun Kim, Jonghun Park
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2020)