Many approaches for analyzing a high-dimensional dataset assume that the contains specific structures, e.g., clusters in linear subspaces or non-linear manifolds. This yields trial-and-error process to verify appropriate model and parameters. paper contributes an exploratory interface supports visual identification of low-dimensional structures dataset, facilitates optimized selection data models configurations. Our key idea is abstract set global local feature descriptors from neighborhood...

Lifelogging tools aim to precisely capture daily experiences of people from the first-person perspective. Although there have been numerous lifelogging developed for users record external environment around them, internal part experience characterized by emotions seems be neglected in field. However, are important and, therefore, should able not only environmental data, but also emotional experiences, thereby providing a more complete archive past events. Moreover, implicit that cannot...

Graph visualization plays an important role in several fields, such as social media networks, protein–protein interaction and traffic networks. A number of design tools programming toolkits have been widely used graph-related applications. However, a key challenge remains the high-efficiency large-scale graph data. In this study, we present NetV.js, open-source WebGL-based JavaScript library that supports fast data (up to 50 thousand nodes 1 million edges) at interactive frame rate with...

Abstract This paper presents a digital storytelling approach that generates automatic animations for time‐varying data visualization. Our simulates the composition and transition of techniques synthesizes to describe various event features. Specifically, we analyze information related given abstract it as an graph, which represents features nodes relationships links. graph embeds tree‐like hierarchical structure encodes at different scales. Next, narrative structures are built by exploring...

When people compare a computer-generated illustration to hand-drawn of the same object, they usually perceive differences. This seems indicate that two kinds images follow different aesthetic principles. To explore and explain these differences, authors texture stippling in illustrations, using image-processing analysis techniques.

Visualizing intrinsic structures of high-dimensional data is an essential task in analysis. Over the past decades, a large number methods have been proposed. Among all solutions, one promising way for enabling effective visual exploration to construct k-nearest neighbor (KNN) graph and visualize low-dimensional space. Yet, state-of-the-art such as LargeVis still suffer from two main problems when applied large-scale data: (1) they may produce unappealing visualizations due non-convexity cost...

The past decade has witnessed rapid progress in AI research since the breakthrough deep learning. technology been applied almost every field; therefore, technical and non-technical end-users must understand these technologies to exploit them. However existing materials are designed for experts, but users need appealing that deliver complex ideas easy-to-follow steps. One notable tool fits such a profile is scrollytelling, an approach storytelling provides readers with natural rich experience...

Understanding the changes of time-series is a common task in many application domains. Converting data into videos helps an audience with little or no background knowledge gain insights and deep impressions. It essentially integrates visualizations animations to present evolution expressively. However, it remains challenging create this kind video. First, difficult efficiently detect important include them video sequence. Existing methods require much manual effort explore find changes....

Authoring graph visualization poses great challenges to developers due its high requirements on both domain knowledge and development skills. Although existing libraries tools reduce the difficulty of generating visualization, there are still many challenges. We work closely with formulate several design goals, then implement G6, a web-based library for visualization. It combines template-based configuration usability flexible customization expressiveness. To enhance efficiency, G6 proposes...

Nowadays, as data becomes increasingly complex and distributed, analyses often involve several related datasets that are stored on different servers probably owned by stakeholders. While there is an emerging need to provide these stakeholders with a full picture of their under global context, conventional visual analytical methods, such dimensionality reduction, could expose privacy when multi-party fused into single site build point-level relationships. In this paper, we reformulate the...

Song Ci is treasured in traditional Chinese culture, which indicates social and cultural evolution ancient times. Despite the efforts by historians litterateurs investigating characteristics of Ci, it still unclear how to effectively distribute promote public sphere. The complexity abstraction hamper general from closely reading, analyzing, appreciating these excellent works. By means a set visual analysis methods, e.g. spatio-temporal visualization, we exploit storytelling explicitly...

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Monitoring a computing cluster requires collecting and understanding log data generated at the core, computer, levels run time. Visualizing of is challenging problem due to complexity underlying dataset: it streaming, hierarchical, heterogeneous, multi-sourced. This paper presents an integrated visualization system that employs two-stage streaming process mode. Prior visual display multi-sourced information, from clusters gathered, cleaned, modeled within processor. The supported by...

Smart space is one of the important applications pervasive computing. We put concept smart into field intelligent transportation system, and bring forward a framework vehicle environment based on embedded agent. In this paper we discuss structure characteristics SVE an example given. Its trait utilizing hardware context-aware computing technology to unite all electronic equipments space, thus can provide active, attentive comprehensive service including auto drive for users. A key innovation...

There has been a rapid growth in the amount and importance of software automobiles past two decades. This trend makes us view automobile space as set smart services. The basic platform for managing these services is real-time operating system. Due to limited resource ECU, this system must be efficient some aspects especially memory utilization. We have implemented an SmartOSEK, OSEK-compliant OS. Some features optimizations reduce RAM needed by are presented paper. First, upper bound...

Traditional Chinese Painting (TCP) is an invaluable cultural heritage resource and a unique visual art style. In recent years, increasing interest has been placed on digitalizing TCPs to preserve revive the culture. The resulting digital copies have enabled advancement of computational methods for structured systematic understanding TCPs. To explore this topic, we conducted in-depth analysis 92 pieces literature. We examined current use computer technologies from three perspectives, based...

Social networks are the fabric of society and subject frequent visual analysis. Closed triads represent triangular relationships between three people in a social network significant for understanding inherent interconnections influence within network. The most common methods representing (node-link diagrams adjacency matrices) not optimal triangles. We propose extending matrix form to 3D better visualization triads. design reordering technique implement an immersive interactive system assist...

The rapid development of large language models (LLMs), such as ChatGPT, has revolutionized the efficiency creating programming tutorials. LLMs can be instructed with text prompts to generate comprehensive descriptions for code snippets provided by users. However, lack transparency in end-to-end generation process hindered understanding model behavior and limited user control over generated results. To tackle this challenge, we introduce a novel approach that breaks down tutorial creation...

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