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Journal articles on the topic 'Visualization Framework'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Richards, Clive, and Yuri Engelhardt. "The DNA of information design for charts and diagrams." Information Design Journal 25, no. 3 (December 31, 2019): 277–92. http://dx.doi.org/10.1075/idj.25.3.05ric.

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Abstract A comprehensive framework is presented for analyzing and specifying an extensive range of visualizations, such as statistical charts, maps, family trees, Venn diagrams, flow charts, texts using indenting, technical drawings and scientific illustrations. This paper describes how the fundamental ‘DNA’ building blocks of visual encoding and composition can be combined into ‘visualization patterns’ that specify these and other types of visualizations. We offer different ways of specifying each visualization pattern, including through a DNA tree diagram and through a rigorously systematic natural language sentence. Using this framework, a design tool is proposed for exploring visualization design options.

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Wu, Jieting, Feiyu Zhu, Xin Liu, and Hongfeng Yu. "An Information-Theoretic Framework for Evaluating Edge Bundling Visualization." Entropy 20, no. 9 (August 21, 2018): 625. http://dx.doi.org/10.3390/e20090625.

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Edge bundling is a promising graph visualization approach to simplifying the visual result of a graph drawing. Plenty of edge bundling methods have been developed to generate diverse graph layouts. However, it is difficult to defend an edge bundling method with its resulting layout against other edge bundling methods as a clear theoretic evaluation framework is absent in the literature. In this paper, we propose an information-theoretic framework to evaluate the visual results of edge bundling techniques. We first illustrate the advantage of edge bundling visualizations for large graphs, and pinpoint the ambiguity resulting from drawing results. Second, we define and quantify the amount of information delivered by edge bundling visualization from the underlying network using information theory. Third, we propose a new algorithm to evaluate the resulting layouts of edge bundling using the amount of the mutual information between a raw network dataset and its edge bundling visualization. Comparison examples based on the proposed framework between different edge bundling techniques are presented.

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Yang, Hong, Yuzhong Shen, Mahmud Hasan, Daniel Perez, and John Shull. "Framework for Interactive M3 Visualization of Microscopic Traffic Simulation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 44 (July 28, 2018): 62–71. http://dx.doi.org/10.1177/0361198118787088.

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Full comprehension of microscopic traffic simulation (MTS) models has necessitated the development of proper visualizations. Existing MTS models only provide limited capability of two- and/or three-dimensional displays that often restrict users’ viewpoint to a flat screen. Their downscaled scenes neither provide a realistic representation of the environment nor allow different users to simultaneously experience the simulation model from different perspectives. This largely prevents analysts from effectively demonstrating and disseminating their simulation results to various stakeholders of different background and knowledge. In light of these issues, this paper aims to develop a framework that enables a multi-user, multi-perspective, and multi-mode ( M3) visualization architecture for microscopic traffic simulation. The proposed framework is empowered by the latest advances in cloud computing and virtual reality (VR) to support interactive and immersive visualization for simulated traffic environments. A client-server architecture allows multiple users at distributed physical locations to view the same simulation from multiple perspectives simultaneously and supports a variety of virtual/augmented reality devices. A prototype of the proposed M3 visualization framework is implemented and demonstrated by simulating and visualizing a model of typical traffic operations in a high-density urban area. The promising capability of the M3 visualization framework is attested. Potential improvements over the present study to further excel current visualization framework are also discussed.

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S Sommer, Philipp. "The psyplot interactive visualization framework." Journal of Open Source Software 2, no. 16 (August 22, 2017): 363. http://dx.doi.org/10.21105/joss.00363.

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Yingcai Wu, Xiaotong Liu, Shixia Liu, and Kwan-Liu Ma. "ViSizer: A Visualization Resizing Framework." IEEE Transactions on Visualization and Computer Graphics 19, no. 2 (February 2013): 278–90. http://dx.doi.org/10.1109/tvcg.2012.114.

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Zhu, Xin-juan, Xue Wu, Xin Shi, and Bu-gao Xu. "Framework of personalized clothing visualization." International Journal of Clothing Science and Technology 29, no. 3 (June 5, 2017): 417–26. http://dx.doi.org/10.1108/ijcst-07-2016-0080.

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Purpose The Web 3D virtual display technology for personalized clothing based on Unity3D is studied in this paper. The framework of the technology is described. The development steps including personalized clothing design and modeling, interaction and virtual display technology based on Unity3D are given out. The purpose of this paper is to provide a feasible technical route and support for the virtual display for the customized products. Design/methodology/approach The paper opted for an exploratory study using the open-ended approach of grounded theory, including the Web 3D virtual display technology for personalized clothing based on Unity3D. Findings A feasible technical route for the virtual display of the customized products is provides in this paper. Originality/value This paper fulfills a software and has practical use.

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Patterson, Emily S., and Robert R. Hoffman. "Visualization framework of macrocognition functions." Cognition, Technology & Work 14, no. 3 (January 6, 2012): 221–27. http://dx.doi.org/10.1007/s10111-011-0208-1.

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Fiore, Stephen M., Samantha F. Warta, Andrew Best, Olivia Newton, and Joseph J. LaViola. "Developing A Theoretical Framework of Task Complexity for Research on Visualization in Support of Decision Making Under Uncertainty." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1193–97. http://dx.doi.org/10.1177/1541931213601781.

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This paper describes initial validation of a theoretical framework to support research on the visualization of uncertainty. Two experiments replicated and extended this framework, illustrating how the manipulation of task complexity produces differences in performance. Additionally, using a combinatory metric of workload and performance, this framework provides a new metric for assessing uncertainty visualization. We describe how this work acts as a theoretical scaffold for examining differing forms of visualizations of uncertainty by providing a means for systematic variations in task context.

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Roberts, Jonathan C., Panagiotis D. Ritsos, James R. Jackson, and Christopher Headleand. "The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using Explanatory Visualizations." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (January 2018): 791–801. http://dx.doi.org/10.1109/tvcg.2017.2745878.

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Goudine, Alexei, Robert Newell, and Christopher Bone. "Seeing Climate Change: A Framework for Understanding Visualizations for Climate Adaptation." ISPRS International Journal of Geo-Information 9, no. 11 (October 29, 2020): 644. http://dx.doi.org/10.3390/ijgi9110644.

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Climate change has resulted in the need for adaptation tools to provide stakeholders with the ability to respond to a broad range of potential impacts. Geovisualizations serve as powerful engagement tools due to their capacity in communicating complex climate data to various audiences. Studies have also shown a preference towards conveying climate data through geo-visual representations, to quickly present ideas rooted in geographical challenges and solutions. However, a rapid pace of technological advancements has paved the way for an abundance of geovisualization products that have eclipsed the necessary theoretical inquiry and knowledge required to establish effective visualization principles. This study addresses this research gap through a two-step process of (1) conducting a thorough review of the geovisualization for climate change literature, and (2) creating a conceptual framework that classifies existing geovisualization products into themes relating to visualization features, audiences, and the intended outcome or purpose of the visualization medium. The result is the Climate Visualizations for Adaptation Products (CVAP) framework, a tool for researchers and practitioners to use as a decision support system to discern an appropriate type of geovisualization product to implement within a specific use case or audience. Visualizations with more interactivity were favoured among expert user groups, to act as tools for knowledge discovery. This is contrary to the visualizations intended for communicating a known message to a user group, as those products often had a low level of interactivity associated with their use.

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Song, Cheng Long, Chen Zou, Wen Ke Wang, and Si Kun Li. "An Integrated Framework for Biological Data Visualization." Advanced Materials Research 846-847 (November 2013): 1145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1145.

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In the field of bioinformatics visualization, integrating software and data in different levels is the development trend. This paper presents an integration framework for biomolecular structure and genome sequences visualization. The framework can effectively support the data and software interoperability of biomolecular structure / genome sequences visualization. Based on the framework, we developed an integrated visualization system, which provides some new comprehensive visualization functions. Preliminary trial showed that the framework has a good prospect in the research of bioinformatics.

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Avazpour, Iman, John Grundy, and Hai L. Vu. "Generating Reusable Visual Notations Using Model Transformation." International Journal of Software Engineering and Knowledge Engineering 25, no. 02 (March 2015): 277–305. http://dx.doi.org/10.1142/s0218194015400100.

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Visual notations are a key aspect of visual languages. They provide a direct mapping between the intended information and set of graphical symbols. Visual notations are most often implemented using the low level syntax of programming languages which is time consuming, error prone, difficult to maintain and hardly human-centric. In this paper we describe an alternative approach to generating visual notations using by-example model transformations. In our new approach, a semantic mapping between model and view is implemented using model transformations. The notations resulting from this approach can be reused by mapping varieties of input data to their model and can be composed into different visualizations. Our approach is implemented in the CONVErT framework and has been applied to many visualization examples. Three case studies for visualizing statistical charts, visualization of traffic data, and reuse of a Minard's map visualization's components, are presented in this paper. A detailed user study of our approach for reusing notations and generating visualizations has been provided. 80% of the participants in this user study agreed that the novel approach to visualization was easy and 87% stated that they quickly learned to use the tool support.

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Newton, Olivia B., Stephen M. Fiore, and Joseph J. LaViola. "An External Cognition Framework for Visualizing Uncertainty in Support of Situation Awareness." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1198–202. http://dx.doi.org/10.1177/1541931213601782.

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This paper discusses an approach for the development of visualizations intended to support cognitive processes deemed fundamental in the maintenance of Situation Awareness under conditions of uncertainty. We integrate ideas on external cognition from the cognitive sciences with methods for interactive visualization to help cognitive engineering examine how visualizations, and interacting with them, alter cognitive processing and decision-making. From this, we illustrate how designers and researchers can study principled variations in visualizations of uncertainty drawing from extended and enactive cognition theory.

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Robertson, Philip K. "Visualizing Spatial Data: The Problem of Paradigms." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 02 (March 1997): 263–73. http://dx.doi.org/10.1142/s0218001497000123.

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This paper describes the problem of developing working paradigms foradvanced spatial data applications. The key role of interactive visualization in enabling the expertise of specialists, if effectively integrated into their working environments, is described. The scope forapplying intelligence in designing visualizations to support,rather than to supplant, the expert is explored. A systematic framework describing the visualization design process, and an approach to applying intelligence around metavisualizations of the visualization design process, are summarized.

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Min Chen and Heike Jäenicke. "An Information-theoretic Framework for Visualization." IEEE Transactions on Visualization and Computer Graphics 16, no. 6 (November 2010): 1206–15. http://dx.doi.org/10.1109/tvcg.2010.132.

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Pombinho, Paulo, Maria Carmo, and Ana Afonso. "Adaptive mobile visualization - the chameleon framework." Computer Science and Information Systems 12, no. 2 (2015): 445–64. http://dx.doi.org/10.2298/csis140607004p.

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The evolution of mobile devices and the development of high speed wireless networks have supported a widespread use of these devices with increasingly more complex applications. This reality has fostered the research in the field of information visualization in mobile devices. However, the limited screen space, resource constraints and interaction restrictions impose difficulties to developers and users of these applications. An approach to address these problems is to adapt the visualization to the user context. However, these proposals are normally designed in an ad-hoc fashion and are difficult to generalize. In addition, existing solutions are focused only in some subset of possible characteristics of the user context or only address a very specific domain and related adaptations. The objective of this paper is to present the design of a framework for adaptive mobile visualization (AMV) applications, denominated Chameleon, and the development and evaluation of prototypes that use this conceptual-based framework.

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McKenna, Sean, Dominika Mazur, James Agutter, and Miriah Meyer. "Design Activity Framework for Visualization Design." IEEE Transactions on Visualization and Computer Graphics 20, no. 12 (December 31, 2014): 2191–200. http://dx.doi.org/10.1109/tvcg.2014.2346331.

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Hasan, Mahmudul, Faramarz F. Samavati, and Christian Jacob. "Interactive multilevel focus+context visualization framework." Visual Computer 32, no. 3 (December 7, 2015): 323–34. http://dx.doi.org/10.1007/s00371-015-1180-1.

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Loboda, Tomasz D., Atanas Frengov, Amruth N. Kumar, and Peter Brusilovsky. "Distributed Framework for Adaptive Explanatory Visualization." Electronic Notes in Theoretical Computer Science 178 (July 2007): 145–52. http://dx.doi.org/10.1016/j.entcs.2007.01.044.

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Piskuliyski, Tihomir, and Amruth Kumar. "A General Framework for Overlay Visualization." Electronic Notes in Theoretical Computer Science 178 (July 2007): 161–69. http://dx.doi.org/10.1016/j.entcs.2007.01.046.

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21

Constant, Jean. "Knowledge Visualization in Crystal Modeling." International Journal of Creative Interfaces and Computer Graphics 10, no. 2 (July 2019): 1–16. http://dx.doi.org/10.4018/ijcicg.2019070101.

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3D graphics visualization is equal part mathematics, geometry, and design. Based on the knowledge visualization framework, the author investigates the structure of a mineral to find if meaningful visualization pertaining to the field of art can be extracted from scientific resource. Working with the lines, spheres, and polygons that characterize crystal at the nanoscale provided the author an exceptional environment from which to extract coherent visualizations sustainable in the art environment. The outcome was tested in a variety of interactive platforms and opened a larger debate on cross-pollination between science and arts. Additionally, the experiment provided new ground of investigation for unexpected connections between mathematics, earth sciences, and local cultures.

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Kageyama, Akira, and Asako Tomiyama. "Visualization framework for CAVE virtual reality systems." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 04 (December 2016): 1643001. http://dx.doi.org/10.1142/s1793962316430017.

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We have developed a software framework for scientific visualization in immersive-type, room-sized virtual reality (VR) systems, or Cave automatic virtual environment (CAVEs). This program, called Multiverse, allows users to select and invoke visualization programs without leaving CAVE’s VR space. Multiverse is a kind of immersive “desktop environment” for users, with a three-dimensional graphical user interface. For application developers, Multiverse is a software framework with useful class libraries and practical visualization programs as samples.

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Gehlenborg, Nils, Janko Dietzsch, and Kay Nieselt. "A Framework for Visualization of Microarray Data and Integrated Meta Information." Information Visualization 4, no. 3 (June 9, 2005): 164–75. http://dx.doi.org/10.1057/palgrave.ivs.9500094.

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We have developed a methodology that allows integration of microarray data and meta information within a visualization in order to guide the investigator during data exploration and analysis. A simple mathematical framework is introduced that uses scoring functions to map meta information to relevance ratings of genes. To explore the potential of this framework we extended the traditional heatmap with new features to graphically represent the relevance ratings. These ratings are visualized by an additional color gradient, by scaling the vertical height of matrix rows, by rearranging rows or by inserting new columns into the heatmap. This visualization is called an enhanced heatmap. We have applied our approach to microarray data of the Saccharomyces cerevisiae cell cycle, complemented with supplemental data that we both derived from the microarray data itself and retrieved from public databases. Using these data we demonstrate how this visualization concept can be efficiently used to identify certain features of genes and to detect inconsistencies in the data. Thus, the investigator has the possibility to get an overview of data from various sources and at the same time can gain a deeper insight into the structure of the combined data. The concept is not restricted to heatmaps, and can be used to extend further visualization techniques, such as profile plots. We found that our method is a powerful tool to integrate supplemental data into microarray visualizations and that it increases the efficiency of visual data exploration, which is a fundamental part of microarray data analyses.

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Kancherla, Jayaram, Alexander Zhang, Brian Gottfried, and Hector Corrada Bravo. "Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasets." F1000Research 7 (July 17, 2018): 1096. http://dx.doi.org/10.12688/f1000research.15433.1.

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Interactive and integrative data visualization tools and libraries are integral to exploration and analysis of genomic data. Web based genome browsers allow integrative data exploration of a large number of data sets for a specific region in the genome. Currently available web-based genome browsers are developed for specific use cases and datasets, therefore integration and extensibility of the visualizations and the underlying libraries from these tools is a challenging task. Genomic data visualization and software libraries that enable bioinformatic researchers and developers to implement customized genomic data viewers and data analyses for their application are much needed. Using recent advances in core web platform APIs and technologies including Web Components, we developed the Epiviz Component Library, a reusable and extensible data visualization library and application framework for genomic data. Epiviz Components can be integrated with most JavaScript libraries and frameworks designed for HTML. To demonstrate the ease of integration with other frameworks, we developed an R/Bioconductor epivizrChart package, that provides interactive, shareable and reproducible visualizations of genomic data objects in R, Shiny and also create standalone HTML documents. The component library is modular by design, reusable and natively extensible and therefore simplifies the process of managing and developing bioinformatic applications.

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Dörk, Marian, Boris Müller, Jan-Erik Stange, Johannes Herseni, and Katja Dittrich. "Co-Designing Visualizations for Information Seeking and Knowledge Management." Open Information Science 4, no. 1 (December 31, 2020): 217–35. http://dx.doi.org/10.1515/opis-2020-0102.

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AbstractCreativity is a crucial factor in finding novel and useful visualization and interaction techniques, but its emergence is contingent on the right conditions. The focus of visualization research has traditionally been on techniques, and to a lesser degree on the process of creating them with domain experts and end users. This paper focuses on the collaborative design of visualizations for information seeking and knowledge management. The difficult, yet common challenge in any visualization project is to find meaningful visual representations and useful interaction techniques to carry out complex analysis tasks. The unique difficulty for preparing co-design activities for visualization lies in the gap between the abstract nature of data and the concrete form of visual representations. To bridge this gap, our co-design framework for visualization places particular emphasis on actors, activities, and artifacts as categories that expand the focus of visualization design beyond the traditional triad of users, tasks, and data. Drawing from general co-design principles, the framework is developed and validated during the course of two case studies in the context of information management systems and library collection databases. Based on observed patterns during the case studies, practical tactics provide advice on carrying out co-design in information visualization.

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Saidin, Nor Farhah, Noor Dayana Abd Halim, and Noraffandy Yahaya. "Framework for Developing a Mobile Augmented Reality for Learning Chemical Bonds." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 07 (July 11, 2019): 54. http://dx.doi.org/10.3991/ijim.v13i07.10750.

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This paper presents the framework for developing a Mobile Augmented Reality (MAR) for learning Chemical Bonds, which is believed to reduce misconceptions among the students. Misconceptions always occur in classrooms, especially in science subject’s which consist of abstract concepts. It is very important that these misconceptions be reduced, because they may affect the student’s understandings of topics they have learned about. These may interfere with the student’s education, and may also affect the student’s performances afterwards. Visualization is one key approach that has been proven to help when seeking to improve the understanding of students, which has consequently led to a reduction in misconceptions. There are many technologies that have been integrated within education, and that show strong potential for producing visualizations. One of the recent popular technologies that have the potential for visualization is Mobile Augmented Reality. Mobile Augmented Reality has the ability to visualize abstract concepts through 3D images

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27

Börner, Katy, Andreas Bueckle, and Michael Ginda. "Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments." Proceedings of the National Academy of Sciences 116, no. 6 (February 4, 2019): 1857–64. http://dx.doi.org/10.1073/pnas.1807180116.

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In the information age, the ability to read and construct data visualizations becomes as important as the ability to read and write text. However, while standard definitions and theoretical frameworks to teach and assess textual, mathematical, and visual literacy exist, current data visualization literacy (DVL) definitions and frameworks are not comprehensive enough to guide the design of DVL teaching and assessment. This paper introduces a data visualization literacy framework (DVL-FW) that was specifically developed to define, teach, and assess DVL. The holistic DVL-FW promotes both the reading and construction of data visualizations, a pairing analogous to that of both reading and writing in textual literacy and understanding and applying in mathematical literacy. Specifically, the DVL-FW defines a hierarchical typology of core concepts and details the process steps that are required to extract insights from data. Advancing the state of the art, the DVL-FW interlinks theoretical and procedural knowledge and showcases how both can be combined to design curricula and assessment measures for DVL. Earlier versions of the DVL-FW have been used to teach DVL to more than 8,500 residential and online students, and results from this effort have helped revise and validate the DVL-FW presented here.

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Fernando, Senaka, James Scott-Brown, Ovidiu Şerban, David Birch, David Akroyd, Miguel Molina-Solana, Thomas Heinis, and Yike Guo. "Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations." Future Generation Computer Systems 112 (November 2020): 785–99. http://dx.doi.org/10.1016/j.future.2020.06.011.

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29

Ramamonjisoa, D. "A FRAMEWORK FOR COMMENTS ANALYSIS AND VISUALIZATION." International Journal of Digital Information and Wireless Communications 5, no. 3 (2015): 185–93. http://dx.doi.org/10.17781/p001682.

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Hackstadt, Steven T., and Allen D. Malony. "DAQV: Distributed array query and visualization framework." Theoretical Computer Science 196, no. 1-2 (April 1998): 289–317. http://dx.doi.org/10.1016/s0304-3975(97)00205-3.

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Oliveira, Weiner, Lenitta M. Ambrósio, Regina Braga, Victor Ströele, José Maria David, and Fernanda Campos. "A Framework for Provenance Analysis and Visualization." Procedia Computer Science 108 (2017): 1592–601. http://dx.doi.org/10.1016/j.procs.2017.05.216.

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Akhtar, S., C. L. Poh, and R. I. Kitney. "An MRI derived articular cartilage visualization framework." Osteoarthritis and Cartilage 15, no. 9 (September 2007): 1070–85. http://dx.doi.org/10.1016/j.joca.2007.03.009.

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Jankun-Kelly, T. j., Kwan-liu Ma, and Michael Gertz. "A Model and Framework for Visualization Exploration." IEEE Transactions on Visualization and Computer Graphics 13, no. 2 (March 2007): 357–69. http://dx.doi.org/10.1109/tvcg.2007.28.

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Forbes, Angus Graeme, Tobias Hollerer, and George Legrady. "behaviorism: a framework for dynamic data visualization." IEEE Transactions on Visualization and Computer Graphics 16, no. 6 (November 2010): 1164–71. http://dx.doi.org/10.1109/tvcg.2010.126.

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Lijie Xu, Teng-Yok Lee, and Han-Wei Shen. "An Information-Theoretic Framework for Flow Visualization." IEEE Transactions on Visualization and Computer Graphics 16, no. 6 (November 2010): 1216–24. http://dx.doi.org/10.1109/tvcg.2010.131.

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Kerzner, Ethan, Sarah Goodwin, Jason Dykes, Sara Jones, and Miriah Meyer. "A Framework for Creative Visualization-Opportunities Workshops." IEEE Transactions on Visualization and Computer Graphics 25, no. 1 (January 2019): 748–58. http://dx.doi.org/10.1109/tvcg.2018.2865241.

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Dennis, B., S. Kocherlakota, Amit Sawant, L. Tateosian, and C. G. Healey. "Designing a visualization framework for multidimensional data." IEEE Computer Graphics and Applications 25, no. 6 (November 2005): 10–15. http://dx.doi.org/10.1109/mcg.2005.128.

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Patterson, Robert E., Leslie M. Blaha, Georges G. Grinstein, Kristen K. Liggett, David E. Kaveney, Kathleen C. Sheldon, Paul R. Havig, and Jason A. Moore. "A human cognition framework for information visualization." Computers & Graphics 42 (August 2014): 42–58. http://dx.doi.org/10.1016/j.cag.2014.03.002.

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Villanueva, F. J., C. Aguirre, A. Rubio, D. Villa, M. J. Santofimia, and J. C. López. "Data stream visualization framework for smart cities." Soft Computing 20, no. 5 (August 12, 2015): 1671–81. http://dx.doi.org/10.1007/s00500-015-1829-8.

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Huertas, Jorge A., Daniel Duque, Ethel Segura-Durán, Raha Akhavan-Tabatabaei, and Andrés L. Medaglia. "Evacuation dynamics: a modeling and visualization framework." OR Spectrum 42, no. 3 (June 3, 2019): 661–91. http://dx.doi.org/10.1007/s00291-019-00548-x.

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Lu, Zhe, Zhicheng Chen, Rong Zheng, Chaoru Liu, Xiaolin Wu, Songbin Chen, Wang Zhang, and Song Zheng. "Visualization Technology Framework of Industrial Cloud Computing." Journal of Physics: Conference Series 1746 (January 2021): 012066. http://dx.doi.org/10.1088/1742-6596/1746/1/012066.

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Ali, Mostafa, and Yasser Mohamed. "A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards." Advances in Civil Engineering 2018 (September 16, 2018): 1–11. http://dx.doi.org/10.1155/2018/8370931.

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3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging heterogeneous data from different sources (such as BIM model and CPM schedule). The data merging process is usually carried out on ad hoc basis for a specific visualization case which limits the reusability of the process. This paper discusses a framework for automatic merging of heterogeneous data to create a visualization. The paper describes developing an ontology which captures concepts related to the visualization process. Then, heterogeneous data sources that are commonly used in construction are fed into the ontology which can be queried to produce different visualization scenarios. The potential of this approach has been demonstrated by providing multiple visualization scenarios that cover different audiences, levels of detail, and time resolutions.

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Badam, Sriram Karthik, and Niklas Elmqvist. "Visfer: Camera-based visual data transfer for cross-device visualization." Information Visualization 18, no. 1 (August 29, 2017): 68–93. http://dx.doi.org/10.1177/1473871617725907.

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Going beyond the desktop to leverage novel devices—such as smartphones, tablets, or large displays—for visual sensemaking typically requires supporting extraneous operations for device discovery, interaction sharing, and view management. Such operations can be time-consuming and tedious and distract the user from the actual analysis. Embodied interaction models in these multi-device environments can take advantage of the natural interaction and physicality afforded by multimodal devices and help effectively carry out these operations in visual sensemaking. In this article, we present cross-device interaction models for visualization spaces, that are embodied in nature, by conducting a user study to elicit actions from participants that could trigger a portrayed effect of sharing visualizations (and therefore information) across devices. We then explore one common interaction style from this design elicitation called Visfer, a technique for effortlessly sharing visualizations across devices using the visual medium. More specifically, this technique involves taking pictures of visualizations, or rather the QR codes augmenting them, on a display using the built-in camera on a handheld device. Our contributions include a conceptual framework for cross-device interaction and the Visfer technique itself, as well as transformation guidelines to exploit the capabilities of each specific device and a web framework for encoding visualization components into animated QR codes, which capture multiple frames of QR codes to embed more information. Beyond this, we also present the results from a performance evaluation for the visual data transfer enabled by Visfer. We end the article by presenting the application examples of our Visfer framework.

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Cai, Haipeng. "Parallel Rendering for Legible Illustrative Visualizations of Dense Geometries on Commodity CPUs." International Journal of Image and Graphics 16, no. 01 (January 2016): 1650002. http://dx.doi.org/10.1142/s0219467816500029.

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This paper presents a parallel visualization technique for illustrative rendering of dense three-dimensional (3D) geometry data sets. Our approach maps the depth information in each geometry onto various visual dimensions of graphical representations, including shape, color, brightness, transparency, and size, to achieve legible display in dense geometry environments where visual clutters often hinder perception and navigation in the visualizations. At the same time, we leverage legacy CPU computing power to overcome performance challenges as a result of the depth-dependent illustrations used for the visual legibility enhancement. This is realized by a novel parallel rendering algorithm we developed particularly for illustrative visualizations of depth-dependent stylized dense geometries at interactive frame rates. While the computation could be performed atop modern GPU devices, we target a parallel visualization framework that enables it to efficiently run on commodity CPUs, which are much more available than GPUs for ordinary users. We evaluated our framework with visualizations of depth-stylized geometries derived from 3D diffusion tensor MRI data, by comparing its efficiency with several other alternative parallelization platforms with respect to the same computations. Results show that our approach can efficiently render highly dense 3D geometry data sets and, thus, it offers not only an alternative and complementary, but also more adoptable, solution to users in contrast to parallel visualization environments that rely on GPUs.

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Sharmazanashvili, Alexander, Nikoloz Udzilauri, Shota Kobakhidze, Luka Todua, Nino Zurashvili, and Irakli Kverenchkhiladze. "Browser-based visualization framework Tracer for Outreach & Education." EPJ Web of Conferences 251 (2021): 01006. http://dx.doi.org/10.1051/epjconf/202125101006.

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Education & outreach is an important part of HEP experiments. With outreach & education, experiments can have an impact on the public, students and their teachers, as well as policymakers and the media. The tools and methods for visualization enable to represent the detectors’ facilities, explaining their purpose, functionalities, development histories, and participant institutes. In addition, they make it possible to visualize different physical events together with important parameters and plots for physics analyses. 3D visualization and advanced VR (Virtual Reality), AR (Augmented Reality) and MR (Mixed Reality) extensions are the keys for successful outreach & education. This paper describes requirements and methods for the creation of browser-based visualization applications for outreach & education. The visualization framework TRACER is considered as a case study.

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Onrust, Benny, Rafael Bidarra, Robert Rooseboom, and Johan van de Koppel. "Ecologically Sound Procedural Generation of Natural Environments." International Journal of Computer Games Technology 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/7057141.

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Current techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments. We tackle this challenge and propose a novel framework that (i) explores the advantages of landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a visually convincing 3D representation of the natural environment suitable for its interactive visualization over the web. Our vegetation model improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distributions directly from landscape maps with statistical ecological data. Our visualization model integrates existing level of detail and illumination techniques to achieve interactive frame rates and improve realism. We validated with ecology experts the outcome of our framework using two case studies and concluded that it provides convincing interactive visualizations of large natural environments.

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Müller, Adrian W., and Jan Oliver Shwarz. "Assessing the functions and dimensions of visualizations in foresight." Foresight 18, no. 1 (March 14, 2016): 76–90. http://dx.doi.org/10.1108/fs-04-2014-0027.

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Purpose – The purpose of this paper is to address a central question in foresight exercises: how to communicate derived results? Design/methodology/approach – By drawing on an empirical study, this paper presents a framework for using visualizations in foresight and illustrates its application by referring to a case study. Findings – The argument is made that by using a dimensional framework, the effects of visualization can be leveraged for communicating foresight results and creating stronger buy-in. Originality/value – Although visualizations appear to be a central means of communication and engagement, little is known in the context of foresight on the functions and dimension of visualizations.

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Anouncia, Dr S. Margret, Merin Cherian, Anubhuti Parija, Dulcy R. Sylvia., and D. Jayaprasanna. "A Framework for Software Architecture Visualization and Evaluation." International Journal of Computer Applications 1, no. 8 (February 25, 2010): 65–72. http://dx.doi.org/10.5120/180-315.

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Sziebig, Gábor, Péter Zanaty, Péter Korondi, and Bjørn Solvang. "Cog Framework - 3D Visualization for Mobile Robot Teleoperation." Advanced Materials Research 222 (April 2011): 357–61. http://dx.doi.org/10.4028/www.scientific.net/amr.222.357.

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A multi-layer mobile robot controller unit has been created and tested successfully to be able to work with different types of mobile robot agents. The paper presents a modular extensible system which is relying on top of modern open source libraries. The system handles a motion capturing suit and adapts it similarly as traditional peripheries. Robust posture recognition has been introduced on top of the motion suit adapter, which is used to instruct a mobile robot agent, while immerse stereographic feedback is provided to the human operator.

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Chen, Cheng-Kai, Shi Yan, Hongfeng Yu, Nelson Max, and Kwan-Liu Ma. "An Illustrative Visualization Framework for 3D Vector Fields." Computer Graphics Forum 30, no. 7 (September 2011): 1941–51. http://dx.doi.org/10.1111/j.1467-8659.2011.02064.x.

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