检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Fröhler, Bernhard Elberfeld, Tim Möller, Torsten Hege, Hans-Christian Maurer, Julia Heinzl, Christoph the Research Group X-Ray Computed Tomography University of Applied Sciences Upper Austria Austria the imec-Vision Lab University of Antwerp Belgium Data Science @ Uni Vienna the Faculty of Computer Science University of Vienna Austria Visual and Data-Centric Computing Department Zuse Institut Berlin Germany

The sensitivity of parameters in computational science problems is difficult to assess, especially for algorithms with multiple input parameters and diverse outputs. This work seeks to explore sensitivity analysis in the visualization domain, introducing novel techniques for respective visual analyses of parameter sensitivity in multi-dimensional algorithms. First, the sensitivity analysis background is revisited, highlighting the definition of sensitivity analysis and approaches analyzing global and local sensitivity as well as the differences of sensitivity analysis to the more common uncertainty analysis. We introduce and explore parameter sensitivity using visualization techniques from overviews to details on demand, covering the analysis of all aspects of sensitivity in a prototypical implementation. The respective visualization techniques outline the algorithmic in- and outputs including indications, on how sensitive an input is with regard to the outputs. The detailed sensitivity information is communicated through constellation plots for the exploration of input and output spaces. A matrix view is discussed for localized information on the sensitivity of specific outputs to specific inputs. A 3D view provides the link of the parameter sensitivity to the spatial domain, in which the results of the multi-dimensional algorithms are embedded. The proposed sensitivity analysis techniques are implemented and evaluated in a prototype called Sensitivity Explorer. We show that Sensitivity Explorer reliably identifies the most influential parameters and provides insights into which of the output characteristics these affect as well as to which extent. © 2022, CC BY-NC-SA.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

VoxSculpt: An Open-Source Voxel Library for Tomographic Volume Sculpting in Virtual Reality

VoxSculpt: An Open-Source Voxel Library for Tomographic Volu...

引用

Virtual Reality (ICVR), IEEE International Conference on

作者： Lucas Siqueira Rodrigues Felix Riehm Stefan Zachow Johann Habakuk Israel Cluster of Excellence “Matters of Activity” Humboldt-Universität zu Berlin Berlin Germany Angewandte Informatik Hochschule für Technik und Wirtschaft Berlin Berlin Germany Visual and Data-Centric Computing Zuse Institute Berlin Berlin Germany Forschungsgruppe CENTIS Hochschule für Technik und Wirtschaft Berlin Berlin Germany

Manual processing of tomographic data volumes, such as interactive image segmentation in medicine or paleontology, is considered a time-consuming and cumbersome endeavor. Immersive volume sculpting stands as a potential solution to improve its efficiency and intuitiveness. However, current open-source software solutions do not yield the required performance and functionalities. We address this issue by contributing a novel open-source game engine voxel library that supports real-time immersive volume sculpting. Our design leverages GPU instancing, parallel computing, and a chunk-based data structure to optimize collision detection and rendering. We have implemented features that enable fast voxel interaction and improve precision. Our benchmark evaluation indicates that our implementation offers a significant improvement over the state-of-the-art and can render and modify millions of visible voxels while maintaining stable performance for real-time interaction in virtual reality.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Definition, detection, and tracking of persistent structures in atmospheric flows

arXiv

引用

arXiv 2021年

作者： Von Lindheim, Johannes Harikrishnan, Abhishek Dörffel, Tom Klein, Rupert Koltai, Péter Mikula, Natalia Müller, Annette Névir, Peter Pacey, George Polzin, Robert Vercauteren, Nikki Institute for Mathematics Technical University Berlin Berlin10623 Germany Department of Mathematics and Computer Science Freie Universität Berlin Berlin14195 Germany Zuse Institute Berlin Visual and Data-centric Computing Berlin14195 Germany Institute for Meteorology Freie Universität Berlin Berlin12165 Germany Department of Geosciences University of Oslo Oslo Norway

Long-lived flow patterns in the atmosphere such as weather fronts, mid-latitude blockings or tropical cyclones often induce extreme weather conditions. As a consequence, their description, detection, and tracking has received increasing attention in recent years. Similar objectives also arise in diverse fields such as turbulence and combustion research, image analysis, and medical diagnostics under the headlines of "feature tracking", "coherent structure detection" or "image registration" - to name just a few. A host of different approaches to addressing the underlying, often very similar, tasks have been developed and successfully used. Here, several typical examples of such approaches are summarized, further developed and applied to meteorological data sets. Common abstract operational steps form the basis for a unifying framework for the specification of "persistent structures" involving the definition of the physical state of a system, the features of interest, and means of measuring their *** Codes 76U60, 86A10, 76M99, 76M27, © 2021, CC BY-SA.

关键词： Tropics

来源：评论

学校读者我要写书评

暂无评论

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling

arXiv

引用

arXiv 2022年

作者： Ezhov, Ivan Rosier, Marcel Zimmer, Lucas Koer, Florian Shit, Suprosanna Paetzold, Johannes Scibilia, Kevin Maechler, Leon Franitza, Katharina Amiranashvili, Tamaz Menten, Martin J. Metz, Marie Conjeti, Sailesh Wiestler, Benedikt Menze, Bjoern Department of Informatics TUM Munich Germany TranslaTUM - Central Institute for Translational Cancer Research Tum Munich Germany Department of Quantitative Biomedicine Uzh Zurich Switzerland Neuroradiology Department Klinikum Rechts der Isar Tum Munich Germany École Normale Supérieure Paris France Visual and Data-Centric Computing Zuse Institute Berlin Berlin Germany Siemens Healthineers Germany

Solving the inverse problem is the key step in evaluating the capacity of a physical model to describe real phenomena. In medical image computing, it aligns with the classical theme of image-based model personalization. Traditionally, a solution to the problem is obtained by performing either sampling or variational inference based methods. Both approaches aim to identify a set of free physical model parameters that results in a simulation best matching an empirical observation. When applied to brain tumor modeling, one of the instances of image-based model personalization in medical image computing, the overarching drawback of the methods is the time complexity for finding such a set. In a clinical setting with limited time between imaging and diagnosis or even intervention, this time complexity may prove critical. As the history of quantitative science is the history of compression [1], we align in this paper with the historical tendency and propose a method compressing complex traditional strategies for solving an inverse problem into a simple database query task. We evaluated different ways of performing the database query task assessing the trade-off between accuracy and execution time. On the exemplary task of brain tumor growth modeling, we prove that the proposed method achieves one order speed-up compared to existing approaches for solving the inverse problem. The resulting compute time offers critical means for relying on more complex and, hence, realistic models, for integrating image preprocessing and inverse modeling even deeper, or for implementing the current model into a clinical workflow. Copyright © 2022, The Authors. All rights reserved.

关键词： Inverse problems

来源：评论

学校读者我要写书评

暂无评论

Active entanglement enables stochastic, topological grasping

arXiv

引用

arXiv 2022年

作者： Becker, Kaitlyn Teeple, Clark Charles, Nicholas Jung, Yeonsu Baum, Daniel Weaver, James C. Mahadevan, L. Wood, Robert School of Engineering and Applied Sciences Harvard University CambridgeMA United States Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Visual and Data-Centric Computing Zuse Institute Berlin Berlin DE Germany Wyss Institute for Biologically Inspired Engineering Harvard University CambridgeMA United States Department of Physics and Organismic and Evolutionary Biology Harvard University CambridgeMA United States

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array of fluidically-actuated slender hollow elastomeric filaments to actively entangle with objects that vary in geometric and topological complexity. The resulting stochastic interactions enable a unique soft and conformable grasping strategy across a range of target objects that vary in size, weight, and shape. We experimentally evaluate the grasping performance of our strategy, and use a computational framework for the collective mechanics of flexible filaments in contact with complex objects to explain our findings. Overall, our study highlights how active collective entanglement of a filament array via an uncontrolled, spatially distributed scheme provides new options for soft, adaptable grasping. © 2022, CC BY-NC-ND.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Revisiting the Jerash Silver Scroll: A new visual data analysis approach

引用

Digital Applications in Archaeology and Cultural Heritage 2021年 21卷

作者： Baum, Daniel Herter, Felix Larsen, John Møller Lichtenberger, Achim Raja, Rubina Zuse Institute Berlin (ZIB) Department Visual and Data-Centric Computing Germany Ägyptisches Museum und Papyrussammlung (ÄMP) Berlin Germany Independent Scholar Denmark Institute of Classical Archaeology and Christian Archaeology Archaeological Museum University of Münster Domplatz 20-22 Münster 48143 Germany Centre for Urban Network Evolutions and Department of Classical Studies School of Culture and Society Aarhus University Højbjerg Denmark

This article revisits a complexly folded silver scroll excavated in Jerash, Jordan, in 2014 that was digitally examined in 2015. In this article we apply, examine and discuss a new virtual unfolding technique that results in a clearer image of the scroll's 17 lines of writing. We also compare it to the earlier unfolding and discuss progress in general analytical tools. We publish the original and the new images as well as the unfolded volume data open access in order to make these available to researchers interested in optimising unfolding processes of various complexly folded materials. © 2021

关键词： Complexly folded materials Jerash silver scroll Pseudo-Arabic script Virtual unfolding visualization

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：