The metaverse is a visual world that blends the physical and digital world. At present, development of still in early stage, there lacks framework for construction exploration metaverse. In this paper, we propose summarizes how graphics, interaction, visualization techniques support user-centric exploration. We introduce three kinds elements compose two graphical methods pipeline. taxonomy interaction technologies based on tasks, user actions, feedback various sensory channels, assist...

The digital twin brain (DTB) computing model from brain-inspired research is an emerging artificial intelligence technique, which realized by a computational modeling approach of hardware and software. It can achieve various cognitive abilities their synergistic mechanisms in manner similar to the human brain. Given that task DTB simulate functions brain, comparing similarities differences between two crucial. However, visualization study still under-researched. Moreover, complexity datasets...

Immersive techniques, such as virtual reality, augmented and mixed take immersive displays carriers to provide experience. A large number of approaches focus on the visualization scientific data in environments while just a few methods concentrate interactive information (InfoVis) an environment, although InfoVis has been extended 3-D space for long time. In era explosion, traditional 2-D is unable convey amounts abstract intuitive way. Meanwhile, desktop-based generally leads visual...

Numerous physical objects in our daily lives are grouped or ranked according to a stereotyped presentation style. For example, library, books typically and based on classification numbers. However, for better comparison, we often need re-group re-rank the using additional attributes such as ratings, publishers, comments, publication years, keywords, prices, etc., combination of these factors. In this paper, propose novel mobile DR/MR-based application framework named DRCmpVis achieve...

Alzheimer's disease (AD) is a progressive neurological condition characterized by cognitive decline, memory loss, and aberrant behaviour. It affects millions of people globally one the main causes dementia. The neurodegenerative known as AD has intricate, multifaceted mechanisms that make it difficult to comprehend identify in its early stages. Conventional diagnostic techniques frequently fail detect By combining Natural Language Processing (NLP) Large Models (LLMs), this research suggests...

We propose a longest common subsequence (LCSS)-based approach to compute the distance among vector field ensembles. By measuring how many blocks ensemble pathlines pass through, LCSS defines similarity ensembles by counting number of shared domain data blocks. Compared with traditional methods (e.g., pointwise Euclidean or dynamic time warping distance), proposed is robust outliers, missing data, and sampling rate pathline timesteps. Taking advantage smaller reusable intermediate output,...

When computing integral curves and surfaces for large-scale unsteady flow fields, a major bottleneck is the widening gap between data access demands available bandwidth (both I/O in-memory). In this work, we explore novel advection-based scheme to manage field both efficiency scalability. The key first partition into blocklets (e.g. cells or very fine-grained blocks of cells), then (pre)fetch on-demand using parallel key-value store. benefits are (1) greatly increasing scale local-range...

Narrative visualization for scientific data explorations can help users better understand the domain knowledge, because narrative visualizations often present a sequence of facts and observations linked together by unifying theme or argument. in immersive environments provide with an intuitive experience to interactively explore data, brand new strategy interactive exploration. However, it is challenging develop environments. In this paper, we propose tool create customize ordinary little...

Most of the existing scientific visualizations toward interpretive grammar aim to enhance customizability in either computation stage or rendering both, while few approaches focus on data presentation stage. Besides, most these leverage components from general-purpose programming languages (GPLs) instead developing a standalone compiler, which pose great challenge about learning curves for domain experts who have limited knowledge programming. In this paper, we propose IGScript, novel...

The widespread use of numerical simulations in different scientific domains provides a variety research opportunities. They often output great deal spatio-temporal simulation data, which are traditionally characterized as single-run, multi-run, multi-variate, multi-modal and multi-dimensional. From the perspective data exploration analysis, we noticed that many works focusing on share similar techniques, for example, schemes designed space, parameter feature space combinations them. However,...

Most of the existing approaches to visualizing vector field ensembles are achieved by uncertainty individual variables different simulation runs, for example, geometry distance, statistics, variability etc. However, comparison derived feature or user-defined (e.g. vortex) is also vital significance since they often make more sense according domain knowledge. In this paper, we present a new framework extract from runs. Specially, use bottom-up searching scheme help vortex with shape. We...

Abstract Multiuser can collaboratively complete complex visualization tasks that cannot be completed by a single user. Although multiuser collaboration system has made great progress, there are many challenges in the collaborative of 3D volumetric scientific data due to difficulties collaboration, and slice analysis. This article proposes client‐server based system, which consists volume explorer 2D analyzer, help domain experts fully utilize their background knowledge illustrate different...

Seismic data visualization and analysis can help the domain experts, e.g., geologists oil or gas exploration to explore distribution of petroleum gas. It assists them get a better understanding stratigraphic structures geological materials, underground flow path (UFP) contexts UFPs (river delta, floodplain, slump fan, well, etc.). are one significant according because they closely related migration We design quadratic-surface distance query scheme their within local region. First, it just...

In this article, the authors propose a stratigraphic slice interpretative visualization system, namely analyzer. It enables domain experts, i.e., geologists and oil/gas exploration to interactively interpret slices with knowledge, which helps them get better understanding of structures distribution geological materials, e.g., underground flow path (UFP), river delta, floodplain, slump fan, etc. addition some domain-specific edit manipulations, sketch-based sub-region partitioning approach is...

According to smoothness assumption, local topological structure can be shared between feature and label manifolds. This study proposes a new algorithm based on Local Tangent Space Alignment (LTSA) implement the enhancement process. In general, we first establish learning model for extraction in space use method of LTSA guide reconstruction Then, an unconstrained optimization optimal theory presented this paper. The is suitable solving problems with large number sample points. Finally,...

Summary Underground flow path (UFP) is one of the most significant stratigraphic structures in revealing distribution oil or gas from seismic data. We design a domain‐specific visualization system to extract by seed point tracing and explore data graph interactions. The seeds are automatically generated kernel function–based density gradients computation. Users allowed adjust recommended fine‐tuning them with visual further merged weighted quick‐union algorithm get link information construct...

Stateful tracking is a popular technique in firewall filtering and state replication used to provide reliable connectivity. This paper proposes new approach for improving existing protocols which ensure consistency amongst the nodes of stateful HA cluster. Our goal develop scheme reduces update overhead face both low high connection loads order maximize capacity scalability availability A representation called flow digest proposed. Also ways use structures changes, recover connections after...

This paper introduced a method of background subtraction model for detecting vehicles in video, the was based on framework kernel density estimation.To compute adjacent frame spatio-temporal by median filter, when value is 0, keep pixel point stable, and still use previous to speed up processing, not using estimation probability, determine whether update or not.Using histogram show statistics probability distribution, find out more accurate threshold adaptively.To solve problem deadlock,...

Most of the existing approaches to visualize vector field ensembles are achieved by visualizing uncertainty individual variables from different simulation runs. However, comparison derived feature or user-defined feature, such as vortex in ensemble flow is also vital significance since they often make more sense according domain knowledge. In this work, we present a framework extract Specially, use bottom-up searching scheme help with shape, and further compute geometry information including...