1167 research outputs found
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LinElFE - linear elastic FE solutions with FEniCSx
No full textThis data set contains the Python-package 'LinElFE' for finite element simulations in linear elasticity. This builds directly upon the open-source project FEniCSx. The package consists of modules with the aim of streamlining processes for common cases.
The intended use case are reference solution for comparison to the LB solution, e.g. in convergence studies.Python-package 'LinElFE' for finite element simulations in linear elasticity with FEniCS
CO2-Bilanzierungstool Scope 3 ETA-Fabrik 2024
No full textDatengrundlage für Berechnung des CO2-Fußabdrucks der ETA-Fabrik (Forschungs- und Produktionsbetrieb) nach den Scopes des GHG Protokolls in 202
Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
No full textFew-shot classification and segmentation (FS-CS) focuses on jointly performing multi-label classification and multi-class segmentation using few annotated examples. Although the current state of the art (SOTA) achieves high accuracy in both tasks, it struggles with small objects. To overcome this, we propose the Efficient Masked Attention Transformer (EMAT), which improves classification and segmentation accuracy, especially for small objects. EMAT introduces three modifications: a novel memory-efficient masked attention mechanism, a learnable downscaling strategy, and parameter-efficiency enhancements. EMAT outperforms all FS-CS methods on the PASCAL-5i and COCO-20i datasets, using at least four times fewer trainable parameters. Moreover, as the current FS-CS evaluation setting discards available annotations, despite their costly collection, we introduce two novel evaluation settings that consider these annotations to better reflect practical scenarios
PEO-b-PNBA in-situ functionalized mesoporous silica films and their light- and pH-controlled ionic mesopore accessibility: Public Data
No full textPowerPoint File of the public data of the paper, including responsive Origin Data. (In addition, there is a zip-archive including the raw data for the figures.
Requirements analysis: Transcript of the interview with a consultant in the field of long-term documentation at the Bundesamt für die Sicherheit der nuklearen Entsorgung
Full text linkBackground:
As part of the doctoral thesis "XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities," expert interviews were conducted for both requirements analysis and evaluation. The goal of the requirements analysis was to gain in-depth insights into the current state of Knowledge Management in the German nuclear industry. In addition, the requirements for an Extended Reality-based information system to support Knowledge Management in nuclear facilities were examined. Care was taken in selecting interview partners to cover all relevant stakeholders. This includes perspectives from the most important types of nuclear facilities (nuclear power plants, interim storage facilities, final repositories, research facilities) as well as other stakeholders, including federal authorities and engineering service providers.
Regarding the transcript "Interview with a consultant in the field of long-term documentation at the Bundesamt für die Sicherheit der nuklearen Entsorgung":
The expert interviewed is responsible for information and knowledge preservation in the field of interim and final storage. The Bundesamt für die Sicherheit der nuklearen Entsorgung has a legal mandate to permanently preserve and make accessible information relevant to final storage. The main topics were the diversity of expected data formats (including building information models and geodata) and technical and organizational measures for data/information preservation over very long periods of time.
Note:
The interview partner(s) has/have given written consent to the publication of this anonymized transcript as part of an authorization process. The German version represents the original text
OxyflameC7-Campaign2_AS-FTIR-MS-Data
No full textDataset for the FTIR measurements in the second experimental campaign including the low swirl, 500kWth biomass flame. FTIR analysis optimized for the analysis of nitrogen, sulfur and chlorine species
Documents Pertaining to the IJSEPMID Publication on Sustainbility in Industrial Site Transformation
Full text linkDocuments for FAIR data management. Includes:
- guiding questions used during the semi-structured expert interviews1.
Time reversibility during the ageing of materials
No full textThe data sets are part of the original publication with the same title in Nature Physics, 20 (2024) 637–64
Evaluation: Transcript of the interview with two experts from the engineering department at the GSI Helmholtzzentrum für Schwerionenforschung
Full text linkBackground:
As part of the doctoral thesis "XR-KIS: An Extended Reality-based Information System for Knowledge Management in Nuclear Facilities," expert interviews were conducted for both requirements analysis and evaluation. The aim of the evaluation was to determine the extent to which the developed XR-KIS application is applicable to different nuclear facilities, as intended in the concept, in light of its implementation in the Mont Terri underground rock laboratory in Switzerland. Half of the interview partners had already been interviewed during the requirements phase, which ensures a balanced ratio of experts who were familiar with the concept from the outset and those who only became acquainted with the application after its completion.
Regarding the transcript "Interview with two experts from the engineering department at the GSI Helmholtzzentrum für Schwerionenforschung":
The perspective of the two experts in the field of engineering shows the potential of XR-KIS for use in the construction and operation of a future nuclear facility, namely the FAIR particle accelerator which will be connected with the existing accelerator facility of the GSI Helmholtzzentrum für Schwerionenforschung. The experts were only consulted after the demonstrator application had been finalized, so there is no possible bias from the requirements phase. It was discussed in detail with the experts, who work at the interface between engineering and Knowledge Management, where they see the strengths and weaknesses of XR-KIS with regard to their facility.
Note:
The interview partner(s) has/have given written consent to the publication of this anonymized transcript as part of an authorization process. The German version represents the original text
