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Saratov Fall Meeting (SFM) on Laser Physics and Photonics XVIII;and Computational Biophysics and analysis of Biomedical data iv / 5th International Symposium on Optics and Biophotonics

作者： Alaytsev, Innokentiy K. Danilova, Tatyana V. Manturov, Alexey O. Mareev, Gleb O. Mareev, Oleg V. Yuri Gagarin State Tech Univ Saratov 77 Politech Skaya St Saratov 410054 Russia Saratov State Med Univ Bolshaya Kazachia St 112 Saratov 410012 Russia

ISBN: (数字)9781510620049

ISBN: (纸本)9781510620049

Computed tomography is a great source of biomedical data because it allows a detailed exploration of complex anatomical structures. Some structures are not visible on CT scans, and some are hard to distinguish due to partial volume effect. CT datasets require preprocessing before using them as anatomical models in a simulation system. The work describes segmentation and data transformation methods for an anatomical model creation from the CT data. The result models may be used for visual and haptic rendering and drilling simulation in a virtual surgery system.

关键词： anatomical model virtual reality computed tomography segmentation

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Application of Assistive Technologies in Rehabilitation of the visually Impaired

Application of Assistive Technologies in Rehabilitation of t...

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AHFE International conference on Ergonomics in Design

作者： Bueno de Oliveira, Taina A. Moura, Joao Wojcikiewicz, Felipe Maia, Luiz Nickel, Elton Ferreira, Marcelo Gomes Univ Estado Santa Catarina UDESC Florianopolis SC Brazil

ISBN: (纸本)9783319605821;9783319605814

This article brings together studies aimed at the use of assistive technologies during the rehabilitation and/or support processes of people with total and/or partial visual impairments (whether congenital or acquired) and how the difficulties and limitations arising from this framework can be overcome through the recognition and exploration of the individual abilities and skills to perform tasks, through the use of AT. The methodological processes adopted in the research were conducted through observations and systematic comparative analyzes to recognize the patterns of behavior of individuals with visual impairment during the execution of their activities. The data analysis was performed to identify and compare the factors that contribute to the difficulties and successes in the application of assistive technologies for the rehabilitation of visually impaired people. It's hoped that, at the end of these studies, their results may explain how AT contribute to improve quality of life to people with disabilities.

关键词： Assistive technologies Rehabilitation visual impairment

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SPOT: Open source visual data analytics platform for high-dimensional scientific data 14

SPOT: Open source visual data analytics platform for high-di...

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14th IEEE International conference on E-Science (E-Science)

作者： Diblen, F. Attema, J. J. Bakhshi, R. Stienen, B. Hendriks, L. Caron, S. Netherlands ESci Ctr Sci Pk 140 NL-1098 XG Amsterdam Netherlands Radboud Univ Nijmegen Inst Math Astro & Particle Phys IMAPP Nijmegen Netherlands

ISBN: (纸本)9781538691564

One of the most challenging tasks in the field of information visualization is to design tools for high-dimensional scientific data. Existing visual data analytics tools either require expert knowledge (e.g. programming) or they are commercial tools such as Dash [1], Spotfire [2] and Tableau [3]. Spot provides a user-friendly, interactive data exploration environment for high-dimensional data sets [4]. The main focus of Spot is on scientific use, with the aim to facilitate open science [5], data sharing and reuse [6]. For example, iDARK project (https://***/project/idark), which aims to collect existing dark matter models, will be using Spot in order to allow researchers to compare the particle physics data sets (see http://***). This abstract gives an overview of main features of Spot, an open source data analytics platform, and its capabilities.

关键词： visualization data analysis data visualization Software databases Tools High energy physics

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Coupling Story to visualization: Using Textual analysis as a Bridge Between data and Interpretation 18

Coupling Story to Visualization: Using Textual Analysis as a...

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23rd International conference on Intelligent User Interfaces (IUI)

作者： Metoyer, Ronald Zhi, Qiyu Janczuk, Bart Scheirer, Walter Univ Notre Dame Notre Dame IN 46556 USA

ISBN: (纸本)9781450349451

Online writers and journalism media are increasingly combining visualization (and other multimedia content) with narrative text to create narrative visualizations. Often, however, the two elements are presented independently of one another. We propose an approach to automatically integrate text and visualization elements. We begin with a writer's narrative that presumably can be supported with visual data evidence. We leverage natural language processing, quantitative narrative analysis, and information visualization to (1) automatically extract narrative components (who, what, when, where) from data-rich stories, and (2) integrate the supporting data evidence with the text to develop a narrative visualization. We also employ bidirectional interaction from text to visualization and visualization to text to support reader exploration in both directions. We demonstrate the approach with a case study in the data-rich field of sports journalism.

关键词： narrative visualization text analysis text visualization interaction deep coupling

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Unsteady Flow visualization via Physics Based Pathline exploration

Unsteady Flow Visualization via Physics Based Pathline Explo...

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International conference on visualisation, VIS

作者： Duong B. Nguyen Lei Zhang Robert S. Laramee David Thompson Rodolfo Ostilla Monico Guoning Chen University of Houston Swansea University Mississippi State University

ISBN: (纸本)9781728149424

This work proposes to analyze the time-dependent characteristics of the physical attributes measured along pathlines derived from unsteady flows, which can be represented as a series of time activity curves (TAC). A new TAC-based unsteady flow visualization and analysis framework is proposed. The center of this framework is a new event-based distance metric (EDM) that compares the similarity of two TACs, from which a new spatio-temporal, hierarchical clustering of pathlines based on their physical attributes and an attribute-based pathline exploration are proposed. These techniques are integrated into a visual analytics system, which has been applied to a number of unsteady flow in 2D and 3D to demonstrate its utility.

关键词： Measurement Market research Correlation Two dimensional displays data visualization Kernel Physics

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Orko: Facilitating Multimodal Interaction for visual exploration and analysis of Networks

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2018年第1期24卷 511-521页

作者： Srinivasan, Arjun Stasko, John Georgia Inst Technol Atlanta GA 30332 USA

data visualization systems have predominantly been developed for WIMP-based direct manipulation interfaces. Only recently have other forms of interaction begun to appear, such as natural language or touch-based interaction, though usually operating only independently. Prior evaluations of natural language interfaces for visualization have indicated potential value in combining direct manipulation and natural language as complementary interaction techniques. We hypothesize that truly multimodal interfaces for visualization, those providing users with freedom of expression via both natural language and touch-based direct manipulation input, may provide an effective and engaging user experience. Unfortunately, however, little work has been done in exploring such multimodal visualization interfaces. To address this gap, we have created an architecture and a prototype visualization system called Orko that facilitates both natural language and direct manipulation input. Specifically, Orko focuses on the domain of network visualization, one that has largely relied on WIMP-based interfaces and direct manipulation interaction, and has little or no prior research exploring natural language interaction. We report results from an initial evaluation study of Orko, and use our observations to discuss opportunities and challenges for future work in multimodal network visualization interfaces.

关键词： Multimodal interaction network visualization natural language input direct manipulation multitouch input

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Big textual data: how to find relevant information (with low cost)? 18

Big textual data: how to find relevant information (with low...

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10th International conference on Management of Digital EcoSystems (MEDES)

作者： Jouis, Christophe Shafei, Bilal Univ Sorbonne Nouvelle Paris France An Najah Natl Univ French Dept Nablus Palestine

ISBN: (纸本)9781450356220

Obviously, it is not useful to accumulate large amounts of information if we cannot find a particular piece of information. Also, extracting relevant and targeted information from textual data on large digital media, and if they are heterogeneous and multilingual, is certainly not a new problem. However, the current methods prove to be expensive and the results are too often inappropriate, too numerous and not very presentable for the user. In addition to current methods, we propose an original method: Contextual exploration. This is the EC3 software. EC3 does not need syntactic analysis, statistical analysis nor a "general" ontology. EC3 uses only small ontologies called "linguistic ontologies" that expresses the language of knowledge. This is why EC3 works very quickly on large corpus, which components can be both whole and short text: SMS to books. At the output, EC3 offers a dynamic visual representation of results. EC3 has been tested on very large digitized corpus provided by the French Labex OBVIL "Observatory of the Literary Life", in partnership with the National Library of France.

关键词： Big Textual data Extraction of Pertinent Information data Mining for Information Retrieval Big data analysis EC3 Contextual exploration

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The Topology ToolKit

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IEEE TRANSACTIONS ON visualIZATION AND COMPUTER GRAPHICS 2018年第1期24卷 832-842页

作者： Tierny, Julien Favelier, Guillaume Levine, Joshua A. Gueunet, Charles Michaux, Michael Univ Paris 06 Sorbonne Univ UPMC CNRSLIP6UMR 7606 Paris France Univ Arizona Tucson AZ 85721 USA Kitware SAS Villeurbanne France

This system paper presents the Topology ToolKit (TTK), a software platform designed for the topological analysis of scalar data in scientific visualization. While topological data analysis has gained in popularity over the last two decades, it has not yet been widely adopted as a standard data analysis tool for end users or developers. TTK aims at addressing this problem by providing a unified, generic, efficient, and robust implementation of key algorithms for the topological analysis of scalar data, including: critical points, integral lines, persistence diagrams, persistence curves, merge trees, contour trees, Morse-Smale complexes, fiber surfaces, continuous scatterplots, Jacobi sets, Reeb spaces, and more. TTK is easily accessible to end users due to a tight integration with ParaView. It is also easily accessible to developers through a variety of bindings (Python, VTK/C++) for fast prototyping or through direct, dependency-free, C++, to ease integration into pre-existing complex systems. While developing TTK, we faced several algorithmic and software engineering challenges, which we document in this paper. In particular, we present an algorithm for the construction of a discrete gradient that complies to the critical points extracted in the piecewise-linear setting. This algorithm guarantees a combinatorial consistency across the topological abstractions supported by TTK, and importantly, a unified implementation of topological data simplification for multi-scale exploration and analysis. We also present a cached triangulation data structure, that supports time efficient and generic traversals, which self-adjusts its memory usage on demand for input simplicial meshes and which implicitly emulates a triangulation for regular grids with no memory overhead. Finally, we describe an original software architecture, which guarantees memory efficient and direct accesses to TTK features, while still allowing for researchers powerful and easy bindings and extensions. TT

关键词： Topological data analysis scalar data data segmentation feature extraction bivariate data uncertain data

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exploration and Research on the Mixed Teaching Mode of Basic Japanese Course under the Background of Information Technology

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Journal of Physics: conference Series 2021年第4期1852卷

作者： Yarong Wei Fuzhou University of International Studies and Trade Fuzhou China

At present, the general trend of information technology development is changing from the typical technology-driven development mode to the combination of application-driven and technology-driven mode. The development of information technology brings both opportunities and challenges to the reform and innovation of foreign language teaching. This paper starts with features and types of information-based foreign language teaching, to explore the mixed teaching mode of basic Japanese course under the background of information technology. Choose a reasonable teaching platform and teaching resources according to the teaching objectives; make a good teaching design for online autonomous learning for each chapter before class; to do well in offline classroom teaching development and classroom network-assisted teaching; and supplement online learning materials effectively for students after-class learning. Pay more attention to process evaluation, multi-subject evaluation and visual data analysis and evaluation based on big data. Pay attention to the role of games in basic Japanese learning, applying information technology to the teaching of basic Japanese courses and exploring the mixed teaching mode of basic Japanese courses can improve teaching effectiveness in all directions and contribute to the overall improvement of teaching quality.

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xHiPP: eXtended Hierarchical Point Placement Strategy 31

xHiPP: eXtended Hierarchical Point Placement Strategy

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31st conference on Graphics, Patterns and Images (SIBGRAPI)

作者： Dias, Fabio Felix Minghim, Rosane Univ Sao Paulo Inst Ciencias Matemat & Comp Ave Trabalhador Sao Carlense 400 Sao Carlos SP Brazil

ISBN: (纸本)9781538692646

The complexity and size of data have created challenges to data analysis. Although point placement strategies have gained popularity in the last decade to yield a global view of multidimensional datasets, few attempts have been made to improve visual scalability and offer multilevel exploration in the context of multidimensional projections and point placement strategies. Such approaches can be helpful in improving the analysis capability both by organizing visual spaces and allowing meaningful partitions of larger datasets. In this paper, we extend the Hierarchy Point Placement (HiPP), a strategy for multi-level point placement, in order to enhance its analytical capabilities and flexibility to handle current trends in visual data science. We have provided several combinations of clustering methods and projection approaches to represent and visualize datasets;added a choice to invert the original processing order from cluster-projection to projection-cluster;proposed a better way to initialize the partitions, and added ways to summarize image, audio, text and general data groups. The tool's code is made available online. In this article, we present the new tool (named xHiPP) and provide validation through case studies with simpler and more complex datasets (text and audio) to illustrate that the capabilities afforded by the extensions have managed to provide analysts with the ability to quickly gain insight and adjust the processing pipeline to their needs.

关键词： visualization data visualization Force Mathematical model data analysis Tools Layout

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