The Open-Source Software community has become the center of attention for many researchers, who are investigating various aspects of collaboration in this extremely large ecosystem. Due to its size, it is difficult to...
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ISBN:
(纸本)9781728187105
The Open-Source Software community has become the center of attention for many researchers, who are investigating various aspects of collaboration in this extremely large ecosystem. Due to its size, it is difficult to grasp whether or not it has structure, and if so, what it may be. Our hackathon project aims to facilitate the understanding of the developer collaboration structure and relationships among projects based on the bi-graph of what projects developers contribute to by providing an interactive collaboration graph of this ecosystem, using the data obtained from World of Code [1] infrastructure. Our attempts to visualize the entirety of projects and developers were stymied by the inability of the layout and visualization tools to process the exceedingly large scale of the full graph. We used WoC to filter the nodes (developers and projects) and edges (developer contributions to a project) to reduce the scale of the graph that made it amenable to an interactive visualization and published the resulting visualizations. We plan to apply hierarchical approaches to be able to incorporate the entire data in the interactive visualizations and also to evaluate the utility of such visualizations for several tasks.
作者：
Zhou, BaodingGu, ZhiningMa, WeiLiu, XuShenzhen Univ
Coll Civil & Transportat Engn Shenzhen 518060 Peoples R China Shenzhen Univ
Guangdong Key Lab Urban Informat Shenzhen 518060 Peoples R China Shenzhen Univ
Shenzhen Key Lab Spatial Smart Sensing & Serv Shenzhen 518060 Peoples R China Shenzhen Univ
Key Lab Geoenvironm Monitoring Coastal Zone Natl Shenzhen 518060 Peoples R China Shenzhen Univ
Coll Architecture & Urban Planning Shenzhen 518060 Peoples R China
Spatial data visualization technology allows users to understand Geographic information System (GIS) applications. Unlike traditional visualization methods, Augmented Reality (AR) inserts virtual objects and informati...
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ISBN:
(纸本)9781728177090
Spatial data visualization technology allows users to understand Geographic information System (GIS) applications. Unlike traditional visualization methods, Augmented Reality (AR) inserts virtual objects and information directly into digital representations of the real world, which makes these objects and data more easily understood and interactive. However, effective AR-GIS systems and rich spatial informationvisualization is still a challenging task. In addition, indoor AR-GIS systems are further impeded by the limited capacity of these systems to detect and display geometry and semantic information. To address this problem, a novel AR and indoor map fusion method is proposed that automatically registers spatial information onto a live camera view of a mobile phone. We fused Bluetooth low energy (BLE) and pedestrian dead reckoning (PDR) localization techniques to track the camera positions. The proposed algorithm extracts and matches a bounding box of the indoor map to a real world scene. We render the indoor map and semantic information into the real world, based on the real-time computed spatial relationship between the indoor map and live camera view. Experimental results demonstrate that our approach accurately and richly visualizes spatial information. Our augmented reality and indoor map fusion technique effectively links rich indoor spatial information to real world scenes in AR integrated GIS.
Virtual reality (VR) lets users explore objects in an immersive environment. Users freely interact with objects in a virtual environment (VE), where they can assign physical properties to objects, make them animate or...
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ISBN:
(纸本)9798350374490;9798350374506
Virtual reality (VR) lets users explore objects in an immersive environment. Users freely interact with objects in a virtual environment (VE), where they can assign physical properties to objects, make them animate or inanimate, and have them respond according to the underlying characteristics. This research explores geological topology using VR. In addition, users studied a terrain model in a multimodal audio-visual VE. Initial findings showed that users preferred multimodal exploration of terrain models compared to the traditional unimodal vision-only version. Two audio-enhanced modes were used: "Continuous" and "Sporadic."
This article reflects on the challenges and successes of providing cutting-edge immersive visualization facilities for a variety of academic users. For over 25 years, the University visualization and Animation Group (...
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ISBN:
(纸本)9798350348392
This article reflects on the challenges and successes of providing cutting-edge immersive visualization facilities for a variety of academic users. For over 25 years, the University visualization and Animation Group (now Advanced Research Computing) has provided cyberinfrastructure and support for designers, engineers, and scientists with data and visualization needs. We consider the history and evolution of these services and inventory several aspects of their research and educational impact. While there are many other examples of successful installations, we present evidence demonstrating the cross -cutting value of these institutional cyberinfrastructure resources and prospectives for future research.
The proceedings contain 50 papers from the 1997 International conference on informationvisualization. Topics discussed include: shape-based calculations and visualization of general cross-sections through biological ...
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The proceedings contain 50 papers from the 1997 International conference on informationvisualization. Topics discussed include: shape-based calculations and visualization of general cross-sections through biological data;multi-modal surface/outline projection and simulation of target/critical tissue movement;meshing and visualization of oilfields;visualization of controllable regions in real-time systems;visualization over the World Wide Web;automatic abstraction management in informationvisualization systems;visualizing sequences of queries;multiresolution data modeling;deformation of plane curves preserving Pythagorean hodographs;and designing of curves and surfaces using cubic splines.
We present BABIAXR, a tool to analyze, extract and visualize data in an immersive virtual reality web environment, making use of the WebXR and WebGL standards, making VR visualizations more accessible. The approach fo...
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ISBN:
(纸本)9781665484022
We present BABIAXR, a tool to analyze, extract and visualize data in an immersive virtual reality web environment, making use of the WebXR and WebGL standards, making VR visualizations more accessible. The approach focuses on the analysis of a specific visualization, called CodeCity, a well known city metaphor for visualizing source code metrics in a 3D environment.
The cluster faithfulness metrics CQ measure how faithfully the ground truth clustering of a graph is represented as the geometric clustering in a drawing of the graph. Existing CQ metrics use k-means clustering, which...
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ISBN:
(纸本)9798350393811;9798350393804
The cluster faithfulness metrics CQ measure how faithfully the ground truth clustering of a graph is represented as the geometric clustering in a drawing of the graph. Existing CQ metrics use k-means clustering, which effectively compute a geometric clustering when the cluster sizes are even, resulting in accurate CQ metrics. However, k-means clustering tends to compute clusters of even sizes and thus often fails to compute an accurate geometric clustering when the cluster sizes are uneven, leading to inaccurate CQ metrics. In this paper, we present a new cluster faithfulness metric CQHAC, using HAC (Hierarchical Agglomerative Clustering). HAC can compute a more accurate geometric clustering for uneven cluster sizes than k-means clustering. Consequently, CQ-HAC can more accurately measure cluster faithfulness, regardless of whether the sizes of clusters are even or uneven. Moreover, we present two algorithms, Cluster-kmeans and Cluster-HAC, for optimizing cluster faithfulness of graph drawings. Extensive experiments show that in practice, both algorithms always compute perfectly clusterfaithful drawings (i.e., CQ = 1) in our experiments using various graphs with both even and uneven cluster sizes, achieving significant improvement over existing graph layouts, including cluster-focused layouts.
SELinux policies used in practice are generally large and complex. As a result, it is difficult for the policy writers to completely understand the policy and ensure that the policy meets the intended security goals. ...
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ISBN:
(纸本)9781665433518
SELinux policies used in practice are generally large and complex. As a result, it is difficult for the policy writers to completely understand the policy and ensure that the policy meets the intended security goals. To remedy this, we have developed a tool called SEFlowViz that helps in visualizing the information flows of a policy and thereby helps in creating flow-secure policies. The tool uses the graph database Neo4j to visualize the policy. Along with visualization, the tool also supports extracting various information regarding the policy and its components through queries. Furthermore, the tool also supports the addition and deletion of rules which is useful in converting inconsistent policies into consistent policies.
Ocean waves provide a large amount of renewable energy, and Wave energy converter (WEC) can convert wave energy into electric energy. This paper proposes a visualization platform for wave power generation. The platfor...
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ISBN:
(纸本)9781665484022
Ocean waves provide a large amount of renewable energy, and Wave energy converter (WEC) can convert wave energy into electric energy. This paper proposes a visualization platform for wave power generation. The platform can monitor various indicators of wave power generation in real time, combined with Long Short-Term Memory (LSTM) neural network to predict wave power and electricity consumption in real time and visualize monitoring data. The platform can intelligently allocate power generation equipment based on the power generation forecast data to achieve precise matching of power generation and power consumption, thereby improving overall power generation efficiency.
N-glycosylations play an important role in protein functions and some alterations of glycosylation such as sialic-acid hydrolysis are related to protein dysfunction. In vitro study of N-glycans can be a challenging ta...
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ISBN:
(纸本)9781538654880
N-glycosylations play an important role in protein functions and some alterations of glycosylation such as sialic-acid hydrolysis are related to protein dysfunction. In vitro study of N-glycans can be a challenging task because of the structural diversity and the many reactive groups of the glycan chains. Molecular dynamics is a useful tool and probably the only one in biology able to overcome this problem and give access to conformational informations through exhaustive sampling. To better decipher the impact of N-glycans, we have to visualize their influence over time on the protein structure. This is why we recently developed a new 2D graphical method called the Umbrella visualization to assess, as a density graph, the protein surface covered by glycans during a molecular dynamics trajectory. Whereas this methodology brought relevant informations related to the glycans intrinsic flexibility and dynamics, we needed further developments in order to integrate an accurate description of the protein topology and its interactions. We propose here to transform this analysis method into a visualization mode in UnityMol. UnityMol is a molecular editor, viewer and prototyping platform, coded in C# with the Unity3D game engine. The new representation of glycan chains presented in this study takes into account both the main positions adopted by each antenna of the glycan and the intensity of their motions. The adapted Umbrella visualization provides invaluable informations about the protein surface shadowed by the glycan antennas. Ultimately, the analysis of the collected data allows us to discuss both the flexibility of the glycan (=ability to explore distinct areas), and its stability (=ability to avoid spreading from its main conformational state) and offers the possibility of identifying the key elements in the protein/ glycan interactions.
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