1,721,166 research outputs found
Post-Processing Pipeline Optimization for Interactive Exploration of Multi-Block Turbine Propulsion Simulation Datasets
No full textWith the increasing power of current supercomputers, flow field simulations become larger and larger. Those datasets are too large to fit into the main memory of a visualization workstation and too large to be processed in a reasonable time on a stand-alone system. Distributed post-processing can eliminate dominant bottlenecks. With parallel computer systems, the post-processing can show a considerable speed-up. In this paper, we address issues to optimize several phases of the pipeline-based post-processing for interactive exploration of time-dependent, multi-block flow field simulation datasets. Firstly, we present the distributed post-processing framework, its approach to manage multi-block data structures, and how nested parallelization can improve the overall runtime. Scalability, balancing, and efficiency of algorithms optimized for unsteady multi-block datasets are presented.
However, complex feature extractions are still time-consuming. For interactive exploration approaches in virtual environments, further strategies like streaming of intermediate data from post-processing backend to visualization frontend are needed. If the extracted visualization objects are too complex to be rendered with interactive frame rates, view-dependent multi-resolution techniques can help to present essential details without losing real-time rendering. To improve the interactivity, several integrated strategies are evaluated. Run-time measurements prove the efficiency of the approaches. An outlook for future steps concludes this paper
Adaptive AI in Concurrent Engineering: A Paradigm Shift in Design and Integration
No full textThis paper explores the potential of advanced technologies to redefine the way we engage with tools in the domain of Concurrent Engineering (CE). CE represents a paradigm shift from traditional sequential design processes, enabling multidisciplinary teams to work simultaneously on various project aspects. This collaborative approach minimizes delays, enhances integration, and fosters innovation in design methodologies. Central to this work is the transition from the conventional model of “humans adapting to technology” to one where “technology adapts to humans”. This paper focuses on the application of Large Language Models (LLMs) within Concurrent Engineering environments, proposing a conceptual approach to investigate their potential capability to process voice recordings and textual documentation to generate structured and reliable knowledge bases for end-user applications. This work investigates potential approaches for the creation of a versatile framework that, together with specialized applications built on top of it, can effectively manage and store highly unstructured information within a graph-based knowledge representation. Such applications range from requirements elicitation, validation, interpretation, to the integration of autonomously extracted knowledge into Model-Based Systems Engineering (MBSE) tools. This structured repository is thought to be subsequently utilized by the same applications to support advanced reasoning tasks, enhancing their contextual understanding and functionality across the project lifecycle. This research examines the practical implications of integrating LLMs and outlines future research directions to maximize their effectiveness in CE environments. By exploring how innovative tools can alleviate cognitive overload, this study aims to propose a viable solution for enhancing engineering practices while simultaneously developing a generalizable framework applicable to other engineering domains. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
FSSteering: A Distributed Framework for Computational Steering in a Script-based CFD Simulation Environment
No full textIn order to get insight into interesting flow phenomena, the traditional work-flow of computational fluid dynamics (CFD) consists of setting up and computing the flow field followed by a consecutive post-processing analysis. Only after this analysis one can identify parameters that may have been set wrongly in a configuration stage. Once these parameters are corrected, another time-consuming loop has to be started. To identify inadequate parameter settings already during the simulation run, online monitoring concepts were introduced. Combined with computational steering methods, parameter values can additionally be adjusted which eventually reduces the number of required iterations to yield satisfactory results.
At the German Aerospace Center, a comprehensive framework called FlowSimulator has been developed to offer a generic Python-based interface for the management of CFD simulations.
It can easily be enhanced by add-ons. One of these extensions is FSSteering which is described in this paper in more detail.
As a computational steering environment, FSSteering provides functionalities essential for interactive visualization and explorative analysis. Besides existing computational steering environments and frameworks, a user-centred and domain-specific view is proposed. Existing functionality can be reused without rewriting simulation code to enable for effective steering in CFD.
To be more efficient, components of the architecture are distributed across different resources. Whereas the CFD simulation typically runs on a parallel supercomputer, the visualization is carried out on a high-performance virtual reality system which allows interactive data exploration. The post-processing in between can be performed on the supercomputer or on a separate parallelization cluster.
But it is also possible to switch between different existing post-processing toolkits. This is just possible because of the very flexible configuration management of the distributed steering framework. We will demonstrate the steering capabilities and the system flexibility by two current research examples. An outlook for future steps concludes this paper
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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