Conferences related to Data Visualization

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Professional Communication Conference (ProComm)

The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


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Periodicals related to Data Visualization

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Most published Xplore authors for Data Visualization

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Xplore Articles related to Data Visualization

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Research and Application of the Test Data Visualization

2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), 2017

The increasing number of test tasks lead to the rapid growth of test data. How to effectively and intuitively use the data has become the difficulty of the test data processing. Data visualization is the data is displayed by the modes of graphics and images, etc. it can effectively improve the data processing and interpretation capabilities, currently, and the data ...


An application architecture for large data visualization: a case study

Proceedings IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics (Cat. No.01EX520), 2001

We present an open-source visualization application with a data-parallel application architecture. The architecture is unique because is uses the Tcl scripting language to synchronize the user interface with the Visualization ToolKit (VTK) parallel visualization pipeline and parallel-rendering module. The resulting application shows scalable performance, and is easily extendable because of its simple modular architecture. We demonstrate the application with a ...


Research and application of dynamic and interactive data visualization based on D3

2016 International Conference on Audio, Language and Image Processing (ICALIP), 2016

Data visualization is an effective method for people to carry out deeper observation and analysis in the context of big data. To solve the issue of deficient interaction with static data, the paper conducted research based on D3 data visualization technology. It proposed a D3 data-driven visualization model, and applied the model in the school equipment maintenance management system with ...


Introducing Google Chart Tools and Google Maps API in Data Visualization Courses

IEEE Computer Graphics and Applications, 2012

This article reports the experience of using Google Chart Tools and Google Maps in a data visualization course at Georgia State University. These visualization toolkits have many benefits but haven't been widely used in such courses. Students found them easy to use for creating a variety of interactive data visualizations.


Intelligent Expertise Classification approach: An innovative artificial intelligence approach to accelerate network data visualization

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010

In order to visualize huge network traffic, data visualization applications are being developed and used to complement network data visualization. With today's network data visualization tools, it is only possible to view small portions of data and consuming lots of time to process the data. The network data process time can be reduced with the innovative artificial intelligence approach, which ...


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Educational Resources on Data Visualization

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IEEE-USA E-Books

  • Research and Application of the Test Data Visualization

    The increasing number of test tasks lead to the rapid growth of test data. How to effectively and intuitively use the data has become the difficulty of the test data processing. Data visualization is the data is displayed by the modes of graphics and images, etc. it can effectively improve the data processing and interpretation capabilities, currently, and the data visualization has become an important means of the test data processing. Firstly, the test process, the flow of test data processing and the visualization requirements of the test data are briefly introduced. Secondly, the related technologies of the data visualization are deeply analyzed, the basic flow of data visualization, the interactive methods of data visualization and the realization tools of data visualization included. Thirdly, the types and characteristics of the test data are deeply analyzed, the basic flow the test data visualization is proposed, and the visualization of test data is presented. Lastly, for the dynamic geographical data of the test equipment, its visualization analysis and trajectory display are achieved. So, it can provide a reference for further research of the test data visualization.

  • An application architecture for large data visualization: a case study

    We present an open-source visualization application with a data-parallel application architecture. The architecture is unique because is uses the Tcl scripting language to synchronize the user interface with the Visualization ToolKit (VTK) parallel visualization pipeline and parallel-rendering module. The resulting application shows scalable performance, and is easily extendable because of its simple modular architecture. We demonstrate the application with a 9.8 gigabyte structured-grid ocean model.

  • Research and application of dynamic and interactive data visualization based on D3

    Data visualization is an effective method for people to carry out deeper observation and analysis in the context of big data. To solve the issue of deficient interaction with static data, the paper conducted research based on D3 data visualization technology. It proposed a D3 data-driven visualization model, and applied the model in the school equipment maintenance management system with comparison charts of maintenance group workload. The paper discussed the entire procedures of dynamic and interactive data visualization from several angles: data processing, application, and data visualization. The results supported the users' need of statistical charts, and confirmed the advantage of the D3 technique in dynamic and interactive data visualization.

  • Introducing Google Chart Tools and Google Maps API in Data Visualization Courses

    This article reports the experience of using Google Chart Tools and Google Maps in a data visualization course at Georgia State University. These visualization toolkits have many benefits but haven't been widely used in such courses. Students found them easy to use for creating a variety of interactive data visualizations.

  • Intelligent Expertise Classification approach: An innovative artificial intelligence approach to accelerate network data visualization

    In order to visualize huge network traffic, data visualization applications are being developed and used to complement network data visualization. With today's network data visualization tools, it is only possible to view small portions of data and consuming lots of time to process the data. The network data process time can be reduced with the innovative artificial intelligence approach, which can effectively accelerate the network data visualization and consequently classify network data into different level of details according diverse computer users' expertise level on network. In the last few years, many visualization tools have been developed; either suffers from time to process the network data or the low understanding from the network data visualization efficiency. In this paper, we proposed an innovative intelligence approach, namely Intelligent Expertise Classification Algorithm (IECA) based on diverse computer users' expertise level in order to improve the network data process time as well as the understanding level among computer users. The approach architecture details and its requirements such as expertise level from diverse computer users and processed data from data mining classification will be discussed. Numbers of experiments have been carried out on 100 computer users from different fields and different level of computer expertise to evaluate the approach effectiveness. It features fast intelligent expertise classification and support network data understanding performance.

  • Notice of Violation of IEEE Publication Principles<br>Interpreting learners behavior by monitoring online tests through data visualization

    This paper presents an approach and a system to let tutors monitor several important aspects related to online tests, such as learner behavior and test quality. The approach includes the logging of important data related to learner interaction with the system during the execution of online tests and exploits data visualization to highlight information useful to let tutors review and improve the whole assessment process. This paper has focused on the discovery of behavioral patterns of learners and conceptual relationships among test items. For this Characterization and summarization has been used. The Characterization and summarization is implemented efficiently using Attribute Oriented Induction algorithm which discovers patterns for accessing learners behavior. By analyzing the data visualization charts, we have detected several previously unknown test strategies used by the learners. Last, we have detected several correlations among questions, which gave us useful feedbacks on the test quality.

  • The Application of Spark in Medical Multidimensional Data Visualization and Statistical Analysis

    With the increasing size, complexity and multidimensionality of medical research data, traditional statistical methods are becoming more and more difficult in analysis. Visualization can present data in an intuitive, visual, and easy-to-read format, which helps medical researchers understand data, and discover scientific views from the interpretation of data. At the same time, as a new parallel computing model, spark technology can also greatly improve the efficiency of the operation. In this article, we explored the application of data visualization methods and spark technology in the study of medical multidimensional data, and developed a visualization scientific discovery platform named datasparking for medical multidimensional data. The platform integrates the functions of interactive chart analysis and statistical analysis methods. It can complete the display of medical multi-dimensional data and analysis of statistical methods, and has the ability to conduct exploratory analysis of medical data. Also, the platform is implemented with Spark as the bottom layer, which improves the efficiency of statistical methods and visualization.

  • Web Data Visualization Based on the Function and Implementaion Dimension

    As the evolvement of web, the web site pays more attention on the interactivity of web page, which will bring better user experience. Visualization techniques have the capability to strengthen interactivity by providing graphic and interactive data explore interface. This paper takes the web data visualization as our focus of attention. By creating three dimensions, the Function and Implementation aspect of web data visualization are fully presented. The Function dimension is based on IA2.0 and the Implementation dimension is based on B/S mode. Then prototype web data visualization systems (IVM) are presented to illustrate the usability of our view.

  • Bioengineering and technoscience art: Electromyography and signal processing for synaesthesia — In-activity muscles and data visualization

    At the convergence of advanced biomedical scientific research in contemporary art with technoscience collaborative practices, as well as with transdisciplinar issues regarding the human condition and the reinvented life, we propose a biocybrid system using electromyography and body signals for the new perceptive, cognitive and technological expansion and the sensorial domain of synesthesia. The electrical potentials and introspective mapping and tracing of body activities in electromyography translated into sonic landscapes and data visualization by using electrical signals generated by in- activity muscles and collected by specific instrumentation equipment are widely used in biomedical engineering and medicine. The system entails new ways of deciphering human ways of acting, by using bodily muscles in microscales, by allowing the perception and communication for generating sound patterns and data visualization landscapes that dynamically change according to several properties extracted from electromyographic (EMG) signals. We also intend future application of our prototype for industrial technological innovations and affective interfaces for medice, health and fitness, art and neuroscience and other domain.

  • Time-Varying Data Visualization Using Clustered Heatmap and Dual Scatterplots

    Heatmap is one of the effective representations for time-varying data visualization. It may require large display spaces when an input dataset contains large number of data items or time steps. We may often want mechanisms to interactively filter non-important data items or time steps, so that we can form appropriate sizes of heatmaps and focus on important data items or time steps. This paper presents a heatmap-based time-varying data visualization technique featuring an interactive mechanism to display meaningful data items and time steps. This technique firstly calculates distances between arbitrary pairs of data items, and constructs a dendrogram consisting the data items. It then generates clusters of the data items and displays the data items belonging to the specified sizes of clusters in the heatmap, so that we can focus on groups of similar or correlated data items. It applies a similar mechanism to a set of time steps so that we can remove outlier time steps from the heatmap. Our implementation features two scatterplots, which represent distribution of data items and time steps respectively, and slider widgets to interactively adjust the thresholds of the clustering process. We can intuitively understand how clusters of data items or time steps are constructed, by looking at the scatterplots while operating the sliders.



Standards related to Data Visualization

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No standards are currently tagged "Data Visualization"