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2nd IEEE Conference on Information Technology and data science, CITDS 2022

作者： Szilagyi, Szabolcs Kovacs, Laszlo University of Debrecen Faculty of Informatics Department of It Systems and Networks Debrecen Hungary University of Debrecen Faculty of Informatics Nvidia Deep Learning Institute Certified Instructor Department of Data Science and Visualization Debrecen Hungary

ISBN: (数字)9781665496537

ISBN: (纸本)9781665496537

A vehicular network is a communication system comprising of vehicles equipped with radio-interfaces, where the endpoints are capable of exchanging data and communication between each other (Vehicle-to-Vehicle, V2V), as well as with another mobile network or fixed infrastructure (Vehicle-to-Infrastructure, V2I). The numerous applications used in vehicles typically require seamless and increasingly fast and reliable network connections, which poses a challenge for the wireless network technologies at our disposal today. MPT-GRE, developed at the University of Debrecen, is a multi-interface access technology, which could offer a novel solution to satisfy the requirements of the services used in vehicular networking applications. Given that MPT-GRE enables the simultaneous usage of multiple network interfaces and IP-routes for vehicles, it promises to be an effective solution for vehicular networks. In this paper, we are examining the efficiency of MPT-GRE using a self-driving car model in a dual-interface Wi-Fi environment. © 2022 IEEE.

关键词： Model automobiles

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Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports

Assessing Conventional and Deep Learning-Based Approaches fo...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Gergő Bogacsovics Balázs Harangi Marcell Beregi-Kovács Dávid Kupás Róbert Lakatos Norbert Dániel Serbán Attila Tiba János Tóth Department of Data Science and Visualization Faculty of Informatics University of Debrecen Debrecen Hungary

In digital healthcare, much patient data is available in text format. The structuring of this data, according to standards, has yet to be widely used, including in Hungary, where it is available in unstructured form. To make these patient records easy to filter and search, they must be processed and structured. Using modern natural language processing and deep learning techniques has resulted in effective systems for implementing such workflows. However, selecting appropriate algorithms for specific text-processing tasks is still a challenging issue. This is due to the scarcity of benchmarks and the variety of architectures available. This article evaluates models for named entity recognition (NER) in digital medical reports written in Hungarian. We evaluate traditional, recurrent neural network, and transformer-based approaches for NER using a dataset comprising 801 positron emission tomography scans and annotated medical reports. The medical reports were annotated to cover six different entity classes and reviewed by clinical experts to ensure accuracy. We present a comprehensive assessment of various methods and provide insight into addressing NER problems in the case of low-resource languages such as Hungarian.

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Marking menus for eyes-free interaction using smart phones and tablets

Marking menus for eyes-free interaction using smart phones a...

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IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, Reliability, and Security in Information Systems and HCI, CD-ARES 2013

作者： Bauer, Jens Ebert, Achim Kreylos, Oliver Hamann, Bernd Computer Graphics HCI Lab. TU Kaiserslautern 67663 Kaiserslautern Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis CA 95616 United States

ISBN: (纸本)9783642405105

Large displays are helpful tools for knowledge discovery applications. The increased screen real estate allows for more data to be shown at once. In some cases using virtual reality visualizations helps in creating more useful visualizations. In such settings, traditional input devices are not well-suited. They also do not scale well to multiple users, effectively limiting collaborative knowledge discovery scenarios. Smart phones and tablet computers are becoming increasingly ubiquitous and powerful, even having multi-core CPUs and dedicated Graphic Processing Units (GPUs). Given their built-in sensors they can serve as replacements for currently-used input devices, and provide novel functionality not achieved with traditional devices. Furthermore, their ubiquity ensures that they scale well to multi-user environments, where users can use their own devices. We present an application-independent way to integrate smart phones and tablets into knowledge discovery applications as input devices with additional functionality. This approach is based on Marking Menus, but extends the basic idea by employing the special capabilities of current consumer-level smart phones and tablets. © 2013 IFIP International Federation for Information Processing.

关键词： Smartphones

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Feature Identification and Extraction in Function Fields

Feature Identification and Extraction in Function Fields

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9th Joint Eurographics/IEEE VGTC Symposium on visualization, EuroVis 2007

作者： Anderson, John C. Gosink, Luke J. Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory

ISBN: (纸本)9783905673456

We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is accomplished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset. © The Eurographics Association 2007.

关键词： Air quality

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Maximizing adaptivity in hierarchical topological models using cancellation trees

Maximizing adaptivity in hierarchical topological models usi...

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Workshop on Mathematical Foundations of Scientific visualization, Computer Graphics, and Massive data Exploration, 2004

作者： Bremer, Peer-Timo Pascucci, Valerio Hamann, Bernd Department of Computer Science University of Illinois Urbana-Champaign United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States

ISBN: (纸本)9783642543005

We present a highly adaptive hierarchical representation of the topology of functions defined over two-manifold domains. Guided by the theory of Morse–Smale complexes, we encode dependencies between cancellations of critical points using two independent structures: a traditional mesh hierarchy to store connectivity information and a new structure called cancellation trees to encode the configuration of critical points. Cancellation trees provide a powerful method to increase adaptivity while using a simple, easy-to-implement data structure. The resulting hierarchy is significantly more flexible than the one previously reported (IEEE Trans. Vis. Comput. Graph. 10(4):385–396, 2004). In particular, the resulting hierarchy is guaranteed to be of logarithmic height. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Trees (mathematics)

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Geometry-preserving topological landscapes

Geometry-preserving topological landscapes

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Workshop at SIGGRAPH Asia 2012, WASA 2012

作者： Beketayev, Kenes Weber, Gunther H. Morozov, Dmitriy Abzhanov, Aidos Hamann, Bernd Computational Research Division Lawrence Berkeley National Laboratory United States Institute for Data Analysis and Visualization Computer Science Department University of California Davis CA United States Computer Science Department Center for Energy Research Nazarbayev University Kazakhstan

ISBN: (纸本)9781450318358

We propose a novel technique for building geometry-preserving topological landscapes. Our technique creates a direct correlation between a scalar function and its topological landscape. This correlation is accomplished by introducing the notion of geometric proximity into the topological landscapes, reflecting the distance of topological features within the function domain. Furthermore, this technique enables direct comparative analysis between scalar functions, as long as they are defined on the same domain. We describe a construction technique that consists of three stages: contour tree computation, contour tree layout, and landscape construction. We provide a detailed description for the latter two steps. For the contour tree layout stage, we discuss dimension reduction and edge routing techniques that produce a drawing of the contour tree on the plane that preserves the geometric proximity. For the landscape construction stage, we develop a contour construction algorithm that takes the contour tree layout as an input, adds contours at heights that correspond to saddles of the contour tree, and produces a contour map. After an additional triangulation step, this construction method results in the landscape that has the same contour tree as the original function. © 2012 ACM.

关键词： Trees (mathematics)

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Experiment management with metadata-based integration for collaborative scientific research

Experiment management with metadata-based integration for co...

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22nd International Conference on data Engineering, ICDE '06

作者： Wang, Fusheng Liu, Peiya Azar, Fred Pearson, John Madlmayr, Gerald Integrated Data Systems Department Siemens Corporate Research Imaging and Visualization Department Siemens Corporate Research Government Programs Siemens Corporate Research Department of Computer Science Johannes Kepler University Linz Siemens Corporate Research

ISBN: (纸本)0769525709

Scientific research in many fields is increasingly a collaborative effort across multiple institutions and disciplines. Scientific researchers need not only an effective system to manage their data, results, and the experiments that generate the results, but also a platform to integrate, share and search these across multiple institutions. Therefore, researchers are able to reuse experiments, pool expertise and validate approaches. In this paper, we present Sci-Port, a system of experiment management and integration for collaborative scientific research. SciPort's architecture uses i) a general transformation-based data model to represent and link experiment processes;ii) hierarchical data classification across multiple institutions according to research programs' goals and organization;iii) metadatacentric representation that concisely captures the context of experiments;and iv) virtual data integration through centralized metadata integration. The system is built for open source, and the metadata-based representation and integration provides a unified framework and tool set to manage and share experiments for scientific research communities. © 2006 IEEE.

关键词： Metadata

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Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow

arXiv

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arXiv 2025年

作者： Bode, Mathis Alvarez, Damian Fischer, Paul Frouzakis, Christos E. Göbbert, Jens Henrik Insley, Joseph A. Lan, Yu-Hsiang Mateevitsi, Victor A. Min, Misun Papka, Michael E. Rizzi, Silvio Samuel, Roshan J. Schumacher, Jörg Jülich Supercomputing Centre Forschungszentrum Jülich GmbH Jülich52425 Germany Siebel School of Computing and Data Science University of Illinois at Urbana-Champaign 201 N Goodwin Ave UrbanaIL61801 United States Mathematics and Computer Science Division Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States CAPS Laboratory Department of Mechanical and Process Engineering ETH Zürich Zürich8092 Switzerland Argonne Leadership Computing Facility Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States Electronic Visualization Laboratory University of Illinois Chicago 1200 W Harrison St ChicagoIL60607 United States Institute of Thermodynamics and Fluid Mechanics Technische Universität Ilmenau P.O. Box 100565 Ilmenau98684 Germany Tandon School of Engineering New York University New York CityNY11201 United States

Turbulent heat and momentum transfer processes due to thermal convection cover many scales and are of great importance for several natural and technical flows. One consequence is that a fully resolved three-dimensional analysis of these turbulent transfers at high Rayleigh numbers, which includes the boundary layers, is possible only using supercomputers. The visualization of these dynamics poses an additional hurdle since the thermal and viscous boundary layers in thermal convection fluctuate strongly. In order to track these fluctuations continuously, data must be tapped at high frequency for visualization, which is difficult to achieve using conventional methods. This paper makes two main contributions in this context. First, it discusses the simulations of turbulent Rayleigh-Bénard convection up to Rayleigh numbers of Ra = 1012 computed with NekRS on GPUs. The largest simulation was run on 840 nodes with 3360 GPU on the JUWELS Booster supercomputer. Secondly, an in-situ workflow using ASCENT is presented, which was successfully used to visualize the high-frequency turbulent fluctuations. © 2025, CC BY.

关键词： Rayleigh number

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A Foveal Inset for Large Display Environments

A Foveal Inset for Large Display Environments

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IEEE Annual International Symposium Virtual Reality

作者： B.A. Ahlborn O. Kreylos B. Hamann O. Staadt Department of Computer Science Institute for Data Analysis and Visualization University of California USA

We introduce a system that adds a foveal inset to large-scale projection displays. The effective resolution of the foveal inset projection is higher than the original display resolution, allowing the user to see more details and finer features in large data sets. The foveal inset is generated by projecting a high-resolution image onto a mirror mounted on a pan-tilt unit (PTU) that is controlled by the user with a laser pointer. Our implementation is based on Chromium and supports many OpenGL applications without modifications.

关键词： Computer displays Tiles Mirrors Calibration Cameras Chromium Hardware Graphical user interfaces Costs Linux

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Preface 2nd

Preface

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2nd International Workshop on visualization in Medicine and Life sciences, VMLS 2009

作者： Linsen, Lars Hagen, Hans Hamann, Bernd Hege, Hans-Christian Jacobs University Bremen School of Engineering and Science Postfach 75 05 61 Bremen28725 Germany Universität Kaiserslautern FB Informatik Postfach 30 49 Kaiserslautern67653 Germany Institute for Data Analysis and Visualization Department of Computer Science University of California Davis One Shields Avenue DavisCA95616-8562 United States Visualization and Data Analysis Takustr. 7 Berlin14195 Germany

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