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Special issue on wild-urban interface (WUI) fires with 25 papers in total. Contributed papers came from all across the globe and included Algeria, Australia, Brazil, China, France, Germany, Japan, Poland, Norway, New Zealand, Spain, Sweden, and the United States of America. The global coverage of contributed papers demonstrated the growing nature of the WUI fire problem.
Advanced technological solutions play a vital role in leveraging the potential of data and driving innovative research. However, the compatibility issues arising from different formats and structures of scientific data hinder progress in data generation, organization, storage, and sharing. To address these challenges, interoperability and efficient data access and analysis automation are crucial. The Semantic Web emerges as a powerful solution to overcome these obstacles.
Expanding and adapting Semantic Web technologies to the Materials Science domain can significantly enhance research outcomes by enabling the uniform consideration, integration, and analysis of heterogeneous data from diverse sources and formats. Implementing these technologies can improve the traceability and reproducibility of scientific procedures, experiments, and simulations. It also facilitates automatable data management solutions and empowers researchers to answer scientific inquiries using semantic queries. Moreover, machine learning methods can benefit from enhanced data completeness and coherence.
The primary objective of this workshop was to gather professionals in Semantic Web and in Materials Science and Engineering to show the recent advances in the use of Semantic Web technologies for Materials Science and Engineering, as well as provide a platform for discussing issues, finding collaboration opportunities and developing a community for this interdisciplinary field.
We thank all authors for their submissions and all members of the SeMatS program committee for their useful reviews and comments. We are also grateful to Daniel Garijo and Andrea Mannocci, the workshop chairs of SEMANTICS 2024, for their continuous support during the workshop organization.
Der DCC-Demonstrator erklärt
(2024)
In diesem Video erklärt Dr. Michael Melzer (Leiter des BAM-Kalibrierlabors) die notwendigen Entwicklungsschritte hin zu einer Praxistauglichkeit des DCCs und wie die „Metrologische Rückführung auf Knopfdruck“ funktioniert. Der digitale Kalibrierschein macht den Kalibrierprozess effizienter, sicherer und digital nachverfolgbar. Anhand eines Demonstrators zeigt er die Vorteile der metrologischen Digitalisierung und Automatisierung in der Anwendung – von der Reduzierung von Fehlerquellen bis hin zum wirtschaftlichen Nutzen im industriellen Messwesen.
In this lecture, the safety assessment of hydrogen gas storage systems is presented using the example of composite pressure vessels. The main element is a probabilistic approval approach based on five steps. Firstly, the testing and evaluation of properties at the beginning of life are shown. Secondly, methods for artificial aging and the effect on the residual strength are presented. Thirdly, testing against dedicated accidents is introduced. Fourthly, effects on the surveillance of production quality are discussed. Finally, degradation and the end of life are estimated. Background information and examples are given for each step. The assessment presented is a method applicable for many safety-related systems.
In this lecture, the safety assessment of hydrogen gas storage systems is presented using the example of composite pressure vessels. The main element is a probabilistic approval approach based on five steps. Firstly, the testing and evaluation of properties at the beginning of life are shown. Secondly, methods for artificial aging and the effect on the residual strength are presented. Thirdly, testing against dedicated accidents is introduced. Fourthly, effects on the surveillance of production quality are discussed. Finally, degradation and the end of life are estimated. Background information and examples are given for each step. The assessment presented is a method applicable for many safety-related systems.
In this lecture, the safety assessment of hydrogen gas storage systems is presented using the example of composite pressure vessels. The main element is a probabilistic approval approach based on five steps. Firstly, the testing and evaluation of properties at the beginning of life are shown. Secondly, methods for artificial aging and the effect on the residual strength are presented. Thirdly, testing against dedicated accidents is introduced. Fourthly, effects on the surveillance of production quality are discussed. Finally, degradation and the end of life are estimated. Background information and examples are given for each step. The assessment presented is a method applicable for many safety-related systems.