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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Xplore Articles related to Data Visualization

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Research and Application of the Test Data Visualization

[{u'author_order': 1, u'authorUrl': u'', u'full_name': u'Hui Yan', u'id': 37401169700}, {u'author_order': 2, u'authorUrl': u'', u'full_name': u'Junfeng Wang', u'id': 37086100721}, {u'author_order': 3, u'authorUrl': u'', u'full_name': u'Chensen Xia', u'id': 37086100580}] 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

[{u'author_order': 1, u'authorUrl': u'', u'full_name': u'C.C. Law', u'id': 37068226000}, {u'author_order': 2, u'authorUrl': u'', u'full_name': u'A. Henderson', u'id': 37740985100}, {u'author_order': 3, u'authorUrl': u'', u'full_name': u'J. Ahrens', u'id': 37282713700}] 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

[{u'author_order': 1, u'affiliation': u'School of Information Technology, Shanghai Jianqiao University, 201306, China', u'authorUrl': u'', u'full_name': u'Lianjun Chen', u'id': 37086104565}, {u'author_order': 2, u'affiliation': u'Department of Computer Science, Slippery Rock University, PA 16057, USA', u'authorUrl': u'', u'full_name': u'Hongbo Zhou', u'id': 37086104076}] 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

[{u'author_order': 1, u'affiliation': u'Georgia State University', u'authorUrl': u'', u'full_name': u'Ying Zhu', u'id': 37280222900}] 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

[{u'author_order': 1, u'affiliation': u'National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, 11800 Penang, MALAYSIA', u'authorUrl': u'', u'full_name': u'Doris Hooi-Ten Wong', u'id': 37598779700}, {u'author_order': 2, u'affiliation': u'National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, 11800 Penang, MALAYSIA', u'authorUrl': u'', u'full_name': u'Selvakumar Manickam', u'id': 37325924900}] 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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No eLearning Articles are currently tagged "Data Visualization"


  • Health Assessment of Liquid Cooling System in Aircrafts: Data Visualization, Reduction, Clustering, and Classification (2012-01-2106)

    This paper addresses the issues of data reduction, visualization, clustering and classification for fault diagnosis and prognosis of the Liquid Cooling System (LCS) in an aircraft. LCS is a cooling system that consists of a left and a right loop, where each loop is composed of a variety of components including a heat exchanger, source control units, a compressor, and a pump. The LCS data and the fault correlation analysis used in the paper are provided by Hamilton Sundstrand (HS) - A United Technologies Company (UTC). This data set includes a variety of sensor measurements for system parameters including temperatures and pressures of different components, along with liquid levels and valve positions of the pumps and controllers. A graphical user interface (GUI) is developed in Matlab that facilitates extensive plotting of the parameters versus each other, and/or time to observe the trends in the data. The parameters that reflect interesting information are selected by observing the correlations between different parameters. The data are analyzed using the wavelet transform to highlight the interclass separation and subdue the within class differences for more accurate classification. Subsequently, the number of parameters is significantly reduced using theprincipal component analysis(PCA). PCA-based data reduction resulted in different clusters when applied to the healthy data, and faulty data of the left and right loops. Several classification methods have been tested and their performance was evaluated. The results of this paper will be used for the purpose of fault diagnosis and prognosis in LCS. The methodology used in this paper can also be applied to other HS systems.

  • Data Visualization and High-Dimensional Data Clustering

    This chapter contains sections titled: * Introduction * Linear Projection Algorithms * Nonlinear Projection Algorithms * Projected and Subspace Clustering * Applications * Summary

  • 1 Data Visualization

    Internet users of a certain age will recall a moment in the latter half of the 1990s when a duo of artists working under the name Komar and Melamid rose to fame online. After emigrating from the Soviet Union to New York in the late 1970s, Alexander Melamid and Vitaly Komar achieved a degree of success in the art world as founders of a movement they called Sots-Art, a blend of conceptual art and playful critiques of Stalin-era Soviet realism. The work was witty and biting, merging irony and politics to the point where it was sometimes difficult to tell which was which. In 1994, Komar and Melamid launched a project with the support of the Nation Institute, for which they hired a professional opinion polling firm to ascertain what features of fine art painting were most and least popular among Americans.

  • Software Evolution Analysis and Visualization

    This chapter contains sections titled: * Introduction * Multiple Evolution Metrics View * Feature Evolution View * Developer Contribution View * Change Coupling View * Related Work * Resume * Acknowledgments * References

  • Fuzzy Clustering and Classification

    This chapter focuses fuzzy clustering with the fuzzy C-means (FCM) and the possibilistic C-means (PCM) as the primary examples. Clustering methods are used to look for structure in sets of unlabeled vectors. In many applications, we need to assign known labels to test data. In these cases, we assume that we have training sets of patterns that represent the various classes under consideration. The chapter shows how both the distances and fuzzy labels are combined to create class labels for the test vector. Like the crisp counterpart, the fuzzy k-nearest neighbor (FKNN) algorithm is simple in concept. The concept of nearest neighbors normally refers to distance in a metric space. In Gader et al., the k-NN soft labels were used to drive a self- organizing feature map (SOFM), a neural-based clustering algorithm. It can be considered the extreme case of the multiprototype classification that is related to clustering.

  • The Map: More than the Territory

    Between netometrics and Webometrics, cybergeography unites the metrics of a space between the Internet and the Web that is sometimes referred to as cyberspace, using a name borrowed from science fiction and William Gibson's novel Neuromancer. The map is more than the territory as it highlights the social relationships and complexities through social networks. This chapter refers to the pioneering work of Jacob Moreno and his famous sociogram which enables sociometry to be depicted through peer relationships between students in particular. Malaurie's anthropological and cartographic work among the Inuit influenced ways of understanding the territory and therefore the daily reality of that people. The development of digital humanities is now challenged by a science of prescription. Information esthetics is enjoying ever greater success and the ability to produce types of visualization is becoming an increasingly recognized skill among specialists in digital humanities.


    This chapter contains sections titled:Design of TUTWSN APITUTWSN API ImplementationTUTWSN API Evaluation

  • Challenge Your Organization's Culture of Text-Heavy Slides

    Embedded deep into the culture of many organizations is the bullet-heavy approach for technical presentations that so many practitioners know is boring at best. This chapter provides arguments to propel people out of their dependence on bullets. These include addressing the origin of old practices, dispelling the assumption that the audience needs all of the information, avoiding bullet-heavy slides and stopping the usage of slides as teleprompters. There is no magic formula for the number of slides to be used for a presentation; in truth, it takes as many slides as it takes to effectively reach the audience for maximum information retention. In the spirit and practice of continuous improvement, many organizations could use a directed, organized, and focused reevaluation of the effectiveness of current presentation practices. Additionally, rethinking the purpose of the slides for a team effort is essential.

  • The Quantified Self and Mobile Health Applications: From Information and Communication Sciences to Social Innovation by Design

    This chapter reviews the definition of certain terms related to the Quantified Self and mobile health (m‐health) in order to characterize the information technologies used by Chris Dancy. It presents the results of the selective analysis, emphasizing Chris Dancy's transformation. The chapter then analyzes the mobile applications used by Chris Dancy by exploring both information design and data‐visualization. Chris Dancy's vision of interaction design oriented toward contemplative computing, calm technology and the attentive environment falls within the continuum of Mark Weiser's ubiquitous computing project. Chris Dancy's experience seems to crystallize an emerging trend in the contemporary era, in which the relationship to a world mediated by interfaces is generalized, while the interfaces invisibilize into the environment. Interaction design's anthropological approach can contribute to the development of a critical reflection on the dominant models of interaction design only focused on technological or economic innovation.

  • TUTWSN Deployments

    This chapter contains sections titled:TUTWSN Deployment ArchitectureNetwork Self‐diagnosticsSecurity Experiments

Standards related to Data Visualization

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No standards are currently tagged "Data Visualization"