检索结果-内蒙古大学图书馆

13th IEEE conference on visual Analytics Science and Technology, VAST 2018

ISBN: (纸本)9781538668610

The proceedings contain 27 papers. The topics discussed include: the effect of proximity in social data charts on perceived unity;the effect of semantic interaction on foraging in text analysis;VUSphere: visual analysis of video utilization in online distance education;SMARTexplore: simplifying high-dimensional data analysis through a table-based visual analytics approach;EmbeddingVis: a visual analytics approach to comparative network embedding inspection;analyzing the noise robustness of deep neural networks;segue: overviewing evolution patterns of egocentric networks by interactive construction of spatial layouts;and multilevel visual clustering exploration for incomplete time-series in water samples.

关键词：

来源：评论

学校读者我要写书评

暂无评论

visual Insight of Spatiotemporal IoT-generated Contents 18

Visual Insight of Spatiotemporal IoT-generated Contents

引用

14th International conference on Advanced visual Interfaces (AVI)

作者： Lee, Jun Kim, Kyoung-Sook Lee, Ryong Lee, Sang-Hwan Natl Inst Adv Ind Sci & Technol Artificial Intelligence Res Ctr Tokyo Japan Korea Inst Sci & Technol Informat KISTI Res Data Hub Ctr Daejeon South Korea

ISBN: (纸本)9781450356169

The rapid evolution of the Internet of Things (IoT) and Big data technology has been generating a large amount and variety of sensing contents, including numeric measured values (e.g., timestamps, geolocations, or sensor logs) and multimedia (e.g., images, audios, and videos). In analyzing and understanding heterogeneous types of IoT-generated contents better, data visualization is an essential component of exploratory data analyses to facilitate information perception and knowledge extraction. This study introduces a holistic approach of storing, processing, and visualizing IoT-generated contents to support context-aware spatiotemporal insight by combining deep learning techniques with a geographical map interface. visualization is provided under an interactive web-based user interface to help the an efficient visual exploration considering both time and geolocation by easy spatiotemporal query user interface'.

关键词： IoT-generated Contents Geovisualization Spatiotemporal analysis Deep Learning Object Detection

来源：评论

学校读者我要写书评

暂无评论

Cohort Representation and exploration 5

Cohort Representation and Exploration

引用

5th IEEE International conference on data Science and Advanced Analytics (IEEE DSAA)

作者： Omidvar-Tehrani, Behrooz Amer-Yahia, Sihem Lakshmanan, Laks V. S. Univ Grenoble Alpes Grenoble France CNRS Paris France Univ British Columbia Vancouver BC Canada

ISBN: (纸本)9781538650905

The abundant availability of health-care data calls for effective analysis methods which help medical experts gain a better understanding of their data. While the focus has been largely on prediction, "representation" and "exploration" of health-care data have received little attention. In this paper, we introduce CORE, a framework for representing and exploring patient cohorts. Obtaining a readable and succinct representation of health data of a cohort is challenging because cohorts often consist of hundreds of patients whose medical actions are of various types and occur at different points in time. We extend the Needleman-Wunsch algorithm for sequence matching to handle temporal sequences, and propose "trajectory families", a customized index to efficiently compare and aggregate patient trajectories into a cohort representation. We define cohort exploration as finding similar cohorts to a given cohort. This problem is challenging because the potential number of similar cohorts is huge. We propose a two-staged approach based on limiting the search space to "contrast cohorts" and then computing their similarity to the given cohort. To speed up cohort similarity computation, we use "event sets" in the same spirit as the double dictionary encoding proposed for keyword search. We run qualitative and quantitative experiments on real data to explore the efficiency and usefulness of CORE. We show that CORE representations reduce time-to-insight from hours to seconds and help medical experts find insights better than state-of-the-art visual Analytics tools.

关键词： Trajectory Hospitals Aggregates visual analytics Diseases Indexes Dictionaries

来源：评论

学校读者我要写书评

暂无评论

EuroVis 2018 - Eurographics/IEEE VGTC conference on visualization 2018 - Short Papers

EuroVis 2018 - Eurographics/IEEE VGTC Conference on Visualiz...

引用

20th Eurographics/IEEE VGT conference on visualization, EuroVis 2018

ISBN: (纸本)9783038680604

The proceedings contain 21 papers. The topics discussed include: evolutionary lines for flow visualization;colored stochastic shadow mapping for direct volume rendering;visualizing functional regions by analysis of geo-textual data;visual analysis of parallel interval events;comparative visual analysis of pelvic organ segmentations;improving provenance data interaction for visual storytelling in medical imaging data exploration;ChemoExplorer: a dashboard for the visual analysis of chemotherapy response in breast cancer patients;TapVis: a data visualization approach for assessment of alternating tapping performance in patients with Parkinsonâ€™s disease;sketching temporal uncertainty - an exploratory user study;and issues and suggestions for the development of a biodiversity data visualization support tool.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cluster-based analysis of multi-parameter distributions in cloud simulation ensembles

Cluster-based analysis of multi-parameter distributions in c...

引用

2019 conference on Vision, Modeling and visualization, VMV 2019

作者： Kumpf, Alexander Stumpfegger, Josef Westermann, Rüdiger Germany

ISBN: (纸本)9783038680987

The proposed approach enables a comparative visual exploration of multi-parameter distributions in time-varying 3D ensemble simulations. To investigate whether dominant trends in such distributions occur, we consider the simulation elements in each dataset—per ensemble member and time step—as elements in the multi-dimensional parameter space, and use t-SNE to project these elements into 2D space. To find groups of elements with similar parameter values in each time step, the resulting projections are clustered via k-Means. Since elements with similar data values can be disconnected in one single projection, we compute an ensemble of projections using multiple t-SNE runs and use evidence accumulation to determine sets of elements that are stably clustered together. We build upon per-cluster multi-parameter distribution functions to quantify cluster similarity, and merge clusters in different ensemble members. By applying the proposed approach to a time-varying ensemble, the temporal development of clusters, and in particular their stability over time can be analyzed. We apply this approach to analyze a time-varying ensemble of 3D cloud simulations. The visualizations via t-SNE, parallel coordinate plots and scatter plot matrices show dependencies between the simulation results and the simulation parameters used to generate the ensemble, and they provide insight into the temporal ensemble variability regarding the major trends in the multi-parameter distributions. © 2019 The Author(s) Eurographics Proceedings © 2019 The Eurographics Association.

关键词： Distribution functions

来源：评论

学校读者我要写书评

暂无评论

visual Attention and Haptic Control: A Cross-Study

Visual Attention and Haptic Control: A Cross-Study

引用

IEEE International conference on Multimedia Big data (BigMM)

作者： Hong Xue Tiesong Zhao Weiling Chen Qian Liu Shaohua Zheng Chang Wen Chen Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information Fuzhou University Fuzhou China Dept. of Computer Science and Technology Dalian University of Technology Dalian China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China

The variety of multimedia big data has promoted emerging applications of multiple sensorial media (mulsemedia) types, in which haptic information attracts increasing attentions. Until now, the interaction between haptic signal and conventional audio-visual signals have not been fully investigated. In this work, we make an exploration on the cross-modal interactivity in task-driven scenarios. We first explore the correlation between visual attention and haptic control in three designed tasks: random-trajectory, fixed-trajectory and obstacle-avoidance. Then, we propose a visual-haptic interaction model that estimates kinesthetic position of haptic control with the information of gaze only. By incorporating a Long Short-Term Memory (LSTM) neural network, the proposed model provides effective prediction in the scenarios of fixed-trajectory and obstacle-avoidance, with its performance superior to other selected machine learning-based models. To further examine our model, we execute it in a haptic control task using visual guidance. Implementation results show a high task achievement rate.

关键词： Task analysis Haptic interfaces visualization Correlation Software Tracking Process control

来源：评论

学校读者我要写书评

暂无评论

EuroVis 2018 - Eurographics/IEEE VGTC conference on visualization 2018, Posters

EuroVis 2018 - Eurographics/IEEE VGTC Conference on Visualiz...

引用

20th Eurographics/IEEE VGTC conference on visualization, EuroVis 2018

ISBN: (纸本)9783038680659

The proceedings contain 15 papers. The topics discussed include: CV3: visual exploration, assessment, and comparison of CVs;extending document exploration with image retrieval: concept and first results;visually exploring data provenance and quality of open data;case studies of shareable personal map visualization;an eye-tracking study on sparklines within textual context;network analysis for financial fraud detection;validation of quantitative measures for edge bundling by comparing with human feeling;exploring uncertainty in image segmentation ensembles;supporting visual parameter analysis of time series segmentation with correlation calculations;the impact of visualizing uncertainty on train trip selection;and categorizing uncertainties in the process of segmenting and labeling time series data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments

引用

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES 2018年 109卷 102-111页

作者： Bateman, Amelia Zhao, Oliver K. Bajcsy, Andrea V. Jennings, Mathew C. Toth, Bryan N. Cohen, Alexa J. Horton, Emily L. Khattar, Anish Kuo, Ryan S. Lee, Felix A. Lim, Meilin K. Migasiuk, Laura W. Renganathan, Ramkesh Zhang, Amy Oliveira, Marcio A. Univ Maryland College Pk MD 20742 USA

Students who are visually impaired face unique challenges when learning mathematical concepts due to the visual nature of graphs, charts, tables, and plots. While touchscreens have been explored as a means to assist people with visual impairments in learning mathematical concepts, many devices are not standalone, were not developed with a user-centered design approach, and have not been tested with users who are visually impaired. This research details the user-centered design and analysis of an electrostatic touchscreen system for displaying graph-based visual information to individuals who are visually impaired. Feedback from users and experts within the visually-impaired community informed the iterative development of our software. We conducted a usability study consisting of locating haptic points in order to test the efficacy and efficiency of the system and to determine patterns of user interactions with the touchscreen. The results showed that: (1) participants correctly located haptic points with an accuracy rate of 69.83% and an average time of 15.34 s out of 116 total trials, (2) accuracy increased across trials, (3) efficient patterns of user interaction involved either a systematic approach or a rapid exploration of the screen, and (4) haptic elements placed near the corners of the screen were more easily located. Our user-centered design approach resulted in an intuitive interface for people with visual impairments and laid the foundation for demonstrating this device's potential to depict mathematical data shown in graphs. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Haptic visual impairment Assistive technology User-centered design Electrostatic touchscreen Mathematics education

来源：评论

学校读者我要写书评

暂无评论

Intelligent exploration of Large-Scale data: What Can We Learn in Two Passes?

Intelligent Exploration of Large-Scale Data: What Can We Lea...

引用

IEEE International conference on Big data

作者： Chandrika Kamath Lawrence Livermore National Laboratory Livermore USA

ISBN: (数字)9781728108582

ISBN: (纸本)9781728108599

Exploring large-scale data to determine an analysis approach is often made difficult by the sheer size of the data. If the characteristics of the data, including any variations within the data set, are not taken into account, our choice of algorithms and associated parameters may not be optimal, resulting in possibly inaccurate conclusions drawn from the data. Iteratively refining the analysis approach, as is normally done with smaller data sets, becomes prohibitively expensive for large-scale data. A typical solution is to randomly subsample the data set and determine the analysis algorithms using the characteristics of this subsample. In this paper, we propose the use of an improved sampling algorithm that is modified to identify well-distributed samples in a single pass through the data set. We then describe how we can use this subsample to probe the data in a second pass. Using very simple, low-cost algorithms, we demonstrate that the additional insight gained in this second pass can improve the process of analyzing large-scale data sets.

关键词： data mining data visualization visual analytics Machine learning algorithms Big data Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ data analysis and visualization and Computational Steering

Coupling the Uintah Framework and the VisIt Toolkit for Para...

引用

International Supercomputing conference (ISC) on High Performance

作者： Sanderson, Allen Humphrey, Alan Schmidt, John Sisneros, Robert Univ Utah Sci Imaging & Comp Inst Salt Lake City UT 84112 USA Univ Illinois Natl Ctr Supercomp Applicat Urbana IL 61801 USA

ISBN: (纸本)9783030024659;9783030024642

data analysis and visualization are an essential part of the scientific discovery process. As HPC simulations have grown, I/O has become a bottleneck, which has required scientists to turn to in situ tools for simulation data exploration. Incorporating additional data, such as runtime performance data, into the analysis or I/O phases of a workflow is routinely avoided for fear of excaberting performance issues. The paper presents how the Uintah Framework, a suite of HPC libraries and applications for simulating complex chemical and physical reactions, was coupled with VisIt, an interactive analysis and visualization toolkit, to allow scientists to perform parallel in situ visualization of simulation and runtime performance data. An additional benefit of the coupling made it possible to create a "simulation dashboard" that allowed for in situ computational steering and visual debugging.

关键词： In situ visualization Runtime performance data visual debugging Computational steering

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：