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Conferencia Latinoamericana En Informatica (CLEI)

作者： Luciano Pacione Dana K. Urribarri Martín L. Larrea Luciano H. Tamargo Dept. of Computer Science and Engineering Universidad Nacional del Sur Bahia Blanca Argentina Dept. of Computer Science and Engineering Computer Graphics and Visualization R&D Laboratory (CIC) Institute for Computer Science and Engineering (CONICET) Universidad Nacional del Sur Bahia Blanca Argentina Dept. of Computer Science and Engineering Institute for Computer Science and Engineering (CONICET) Universidad Nacional del Sur Bahia Blanca Argentina

ISBN: (数字)9798331540975

ISBN: (纸本)9798331540982

Runtime Verification is a software testing technique based on extracting and analyzing information from a system while it is running. The objective is to use this information to find faults or problems in the system under test. To achieve this, it is necessary that the insertion of testing logic does not modify the code being tested and that it does not affect the performance of the system. In this article, we present a runtime testing framework for JavaScript, which utilizes Aspect-Oriented Programming and regular expressions. This framework encapsulates the idea of Message Sequence Specification applied to Runtime Verification. Our work is freely available and open source.

关键词： Software testing Runtime Codes Programming Logic Data mining

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Quantifying spatial, temporal, angular and spectral structure of effective daylight in perceptually meaningful ways

arXiv

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arXiv 2022年

作者： Yu, Cehao Wijntjes, Maarten Eisemann, Elmar Pont, Sylvia Faculty of Industrial Design Engineering Delft University of Technology Delft Netherlands Computer Graphics and Visualization Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

We present a method to capture the 7-dimensional light field structure, and translate it into perceptually-relevant information. Our spectral cubic illumination method quantifies objective correlates of perceptually relevant diffuse and directed light components, including their variations over time, space, in color and direction, and the environment’s response to sky and sunlight. We applied it "in the wild", capturing how light on a sunny day differs between light and shadow, and how light varies over sunny and cloudy days. We discuss the added value of our method for capturing nuanced lighting effects on scene and object appearance, such as chromatic gradients. © 2022, CC BY.

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Current Tomography - Localization of void fractions in conducting liquids by measuring the induced magnetic flux density

arXiv

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arXiv 2023年

作者： Krause, L. Kumar, N. Wondrak, T. Gumhold, S. Eckert, S. Eckert, K. Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstraße 400 Dresden01328 Germany Computer Graphics and Visualization Faculty of Computer Science Technische Universität Dresden Germany Transport Processes at Interfaces Institute of Process Engineering and Environmental Technology Technische Universität Dresden Germany

A novel concept of a measurement technology for the localization and determination of the size of gas bubbles is presented, which is intended to contribute to a further understanding of the dynamics of efficiency-reducing gas bubbles in electrolyzers. A simplified proof-of-concept (POC) model is used to numerically simulate the electric current flow through materials with significant differences in electrical conductivity. Through an automated approach, an extensive data set of electric current density and conductivity distributions is generated, complemented with determined magnetic flux densities in the surroundings of the POC cell at virtual sensor positions. The generated data set serves as testing data for various reconstruction approaches. Based on the measurable magnetic flux density, solving Biot-Savart’s law inversely is demonstrated and discussed with a model-based solution of an optimization problem, of which the gas bubble locations are derived. © 2023, CC BY.

关键词： Tomography

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Deep Light Direction Reconstruction from single RGB images 29

Deep Light Direction Reconstruction from single RGB images

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29th International Conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2021

作者： Miller, Markus Nischwitz, Alfred Westermann, Rüdiger Dept. of Computer Science and Mathematics University of Applied Sciences Munich Lothstr. 64 Bavaria MunichD-80335 Germany Chair of Computer Graphics and Visualization Technical University Munich Boltzmannstr. 3/II Bavaria GarchingD-85748 Germany

ISBN: (纸本)9788086943343

In augmented reality applications, consistent illumination between virtual and real objects is important for creating an immersive user experience. Consistent illumination can be achieved by appropriate parameterisation of the virtual illumination model, that is consistent with real-world lighting conditions. In this study, we developed a method to reconstruct the general light direction from red-green-blue (RGB) images of real-world scenes using a modified VGG-16 neural network. We reconstructed the general light direction as azimuth and elevation angles. To avoid inaccurate results caused by coordinate uncertainty occurring at steep elevation angles, we further introduced stereographically projected coordinates. Unlike recent deep-learning-based approaches for reconstructing the light source direction, our approach does not require depth information and thus does not rely on special red-green-blue-depth (RGB-D) images as input. © 2021 University of West Bohemia. All rights reserved.

关键词： Image reconstruction

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Light Direction Reconstruction Analysis and Improvement using XAI and CG 30

Light Direction Reconstruction Analysis and Improvement usin...

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30th International Conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2022

作者： Miller, Markus Ronczka, Stefan Nischwitz, Alfred Westermann, Rüdiger Dept. of Computer Science and Mathematics University of Applied Sciences Munich Lothstr. 64 Bavaria MunichD-80335 Germany Computer Graphics and Visualization Technical University Munich Boltzmannstr. 3/II Bavaria GarchingD-85748 Germany w&co MediaServices GmbH & Co KG Charles-de-Gaulle-Str. 8 Bavaria MunichD-81737 Germany

ISBN: (纸本)9788086943336

With rapid advances in the field of deep learning, explainable artificial intelligence (XAI) methods were introduced to gain insight into internal procedures of deep neural networks. Information gathered by XAI methods can help to identify shortcomings in network architectures and image datasets. Recent studies, however, advise to handle XAI interpretations with care, as they can be unreliable. Due to this unreliability, this study uses meta information that is produced when applying XAI to enhance the architecture - and thus the prediction performance - of a recently published regression model. This model aimed to contribute to solving the photometric registration problem in the field of augmented reality by regressing the dominant light direction in a scene. Bypassing misleading XAI interpretations, the influence of synthetic training data, generated with different rendering techniques, is furthermore evaluated empirically. In conclusion, this study demonstrates how the prediction performance of the recently published model can be increased by improving the network architecture and training dataset. © 2022 University of West Bohemia. All rights reserved.

关键词： Network architecture

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A Streamline-guided De-Homogenization Approach for Structural Design

arXiv

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arXiv 2022年

作者： Wang, Junpeng Westermann, Rüdiger Wu, Jun Computer Graphics and Visualization Department of Informatics Technical University of Munich Garching 85748 Germany Department of Sustainable Design Engineering Delft University of Technology Delft2628 CE Netherlands

We present a novel de-homogenization approach for efficient design of high-resolution load-bearing structures. The proposed approach builds upon a streamline-based parametrization of the design domain, using a set of space-filling and evenly-spaced streamlines in the two mutually orthogonal direction fields that are obtained from homogenization-based topology optimization. Streamlines in these fields are converted into a graph, which is then used to construct a quad-dominant mesh whose edges follow the direction fields. In addition, the edge width is adjusted according to the density and anisotropy of the optimized orthotropic cells. In a number of numerical examples, we demonstrate the mechanical performance and regular appearance of the resulting structural designs, and compare them with those from classic and contemporary approaches. Copyright © 2022, The Authors. All rights reserved.

关键词： Structural design

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Interactive quality inspection of measured deviations in sheet metal assemblies 2

Interactive quality inspection of measured deviations in she...

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2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020

作者： Claus, Felix Hagen, Hans Leonhardt, Viktor Leitte, Heike Hamann, Bernd Computer Graphics and HCI Lab Computer Science Department Technische Universität Kaiserslautern Germany Scientific Visualization Lab Computer Science Department Technische Universität Kaiserslautern Germany Visual Information Analysis Computer Science Department Technische Universität Kaiserslautern Germany Department of Computer Science University of California DavisCA95616 United States

ISBN: (纸本)9783959771832

We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process. © Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann.

关键词： Inspection

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PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control 15

PREVIS - A Combined Machine Learning and Visual Interpolatio...

引用

15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

作者： Ruediger, Patrick Claus, Felix Leonhardt, Viktor Hagen, Hans Aurich, Jan C. Garth, Christoph Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Computer Graphics and HCI Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany Scientific Visualization Lab Technische Universität Kaiserslautern P. O. Box 3049 Kaiserslautern67653 Germany

We present PREVIS, a visual analytics tool, enhancing machine learning performance analysis in engineering applications. The presented toolchain allows for a direct comparison of regression models. In addition, we provide a methodology to visualize the impact of regression errors on the underlying field of interest in the original domain, the part geometry, via exploiting standard interpolation methods. Further, we allow a real-time preview of user-driven parameter changes in the displacement field via visual interpolation. This allows for fast and accountable online change management. We demonstrate the effectiveness with an ex-ante optimization of an automotive engine hood. © 2022 Elsevier B.V.. All rights reserved.

关键词： Quality control

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Characteristics Analysis of Moving Conversations to Detect Events on Twitter

Characteristics Analysis of Moving Conversations to Detect E...

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International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Hansi Senaratne Dominic Lehle Tobias Schreck Earth Observation Center German Aerospace Center Oberpfaffenhofen Germany Advanced Research & Technologies Avira Tettnang Germany Inst. of Computer Graphics & Knowledge Visualization Graz University of Technology Graz Austria

A conversation is an exchange of thoughts, news, or ideas about a particular topic between two or more people. On Twit-ter, hashtags allow its users to collate all conversations pertaining to a particular topic. The progressions that occur in such conversations through the geographic space, the time, or the thematic contexts, create trajectories of conversations on Twitter, and they can give us valuable insights into interesting events that take place around us. In this paper we develop an approach based on data analysis and visualisation, to (1) construct such conversation trajectories for chosen popular hashtags, (2) analyse the various geospatial- and content-characteristics of the conversation trajectories (e.g., distance variance, speed of propagation, topic diversity, or credibility) to determine co-located events, and (3) rank and sort the resulting conversation trajectories according to a user-defined interestingess-measure, to narrow down the search space for interesting conversation trajectories. Our approach is among the first to introduce the us-age of movement of conversations across geographic space and time for the exploratory detection and analysis of events, whereas most existing works use keyword-based text analysis to detect events on Twitter. All the three stages of the approach (construct, analyse, rank & sort) are presented in a visual-interactive interface that allows us to explore Twitter text data without extensive prior knowledge, and benefit from the pure exploratory capabilities of the tool. The usefulness of our approach is demonstrated as a proof-of-concept to detect sports-related events, where we were able to identify the outcome of a contest for Major League Baseball sportsmen on Twitter.

关键词： Knowledge engineering visualization Text analysis Social networking (online) Blogs Linearity Oral communication

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Nuwa: An Authoring Tool for Graph visualizations

Nuwa: An Authoring Tool for Graph Visualizations

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Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Dongming Han Haiyang Zhu Wei Chen Jiacheng Pan Ran Chen Xumeng Wang Zhen Wen Luoxuan Weng Minfeng Zhu Yingcai Wu Rüdiger Westermann State Key Lab of CAD&CG Zhejiang University China Hithink RoyalFlush Information Network Co. Ltd. China Wuchan Zhongda Digital Technology Co. Ltd. China Laboratory of Art and Archaeology Image (Zhejiang University) Ministry of Education China College of Computer Science Nankai University China Zhejiang University China Computer Graphics and Visualization Technical University of Munich Germany

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

Authoring graph visualization requires advanced programming skills, expert domain knowledge, and significant workload. Existing authoring tools either support limited templates of graph visualization, or suffer from a high learning cost. We analyze the design requirements on a tool for graph visualizations, and contribute Nuwa, a user-friendly declarative authoring tool for the interactive specification of graph visualizations in terms of data, entity, change, and encoding. Our implementation empowers users to conveniently create, compare, and modulate comprehensive graph visualizations with a wide range of styles. We showcase various examples to verify the expressiveness of Nuwa. Via an expert interview and the analysis on cognitive dimensions we evaluate the usability of Nuwa.

关键词： Analytical models Authoring systems Costs Semantics Data visualization Prototypes Programming

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