Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

Filters

2 2
Reset filters

Settings
Now showing 1 - 4 of 4
  • Publication
    Fortschrittsbericht zur Digitalisierung des Energiesystems
    (Fraunhofer CINES, 2024)
    Bergsträßer, Jonathan orcid-logo
    ;
    Berkhout, Volker
    ;
    Klaiber, Stefan
    ;
    Klobasa, Marian orcid-logo
    ;
    Kohrs, Robert
    ;
    Linnartz, Philipp
    ;
    Naumann, Steffi
    ;
    Nicolai, Steffen
    ;
    Schmidt, Dietrich
    ;
    Welisch, Marijke
    ;
    Wende-von Berg, Sebastian
    ;
    Wickert, Manuel
    ;
    Wille-Haußmann, Bernhard
    Die Digitalisierung ist ein hochgradig relevanter Schlüsselprozess für die Energiesystemtransformation - Details dazu hat der Fraunhofer Exzellenzcluster CINES im Jahr 2022 erforscht und in 14 Thesen zusammengefasst. In 2023 wurden in Zusammenarbeit mit Praxispartner:innen aus der Energiewirtschaft politische und regulatorischen Änderungen in der digitalen Energiewirtschaft analysiert und ausgewertet. Der Fortschrittsbericht zeigt die Fortschritte der Digitalisierung auf und erörtert Handlungsbedarfe und Weiterentwicklungspotenziale. Wichtige Erkenntnisse sind: Positive Fortschritte gibt es u.a. durch gesetzliche und regulatorische Neuerungen wie beispielsweise beim §14a EnWG oder dem Gesetz zum Neustart der Digitalisierung der Energiewende (GNDEW). Es mangelt an einem integrativen Zielbild - ein solches kann für mehr Klarheit und Orientierung bei der Digitalisierung des Energiesystems in Deutschland und Europa sorgen. Um Lücken, Handlungsbedarfe und positiven Fortschritt besser zu erkennen, erfordert es ein gemeinsames Verständnis für die Orientierung und Ausrichtung auf die Digitalisierung. Dafür ist es unter anderem notwendig ein handlungsanleitendes Zukunftsbild zu schaffen, die kommunikative Übersetzung und die Verständlichkeit von regulatorischen Änderungen zu verbessern, Kompetenzen für technologische Lösungen, bspw. für notwendige Cyberresilienz und kritischen Infrastrukturen, aufzubauen und Investitionen zu tätigen, um mehr finanzielle Mittel für die Digitalisierung der Energiesystemtransformation zur Verfügung zu haben.
  • Publication
    Making use of climate information for sustainable preservation of cultural heritage: applications to the KERES project
    ( 2023)
    Kotova, Lola
    ;
    Leissner, Johanna
    ;
    Winkler, Matthias
    ;
    Kilian, Ralf
    ;
    Bichlmair, Stefan
    ;
    Antretter, Florian
    ;
    Moßgraber, Jürgen
    ;
    Reuter, Jürgen orcid-logo
    ;
    Hellmund, Tobias
    ;
    Matheja, Katharina
    ;
    Rohde, Michael
    ;
    Mikolajewicz, Uwe
    According to the final report of the European Union OMC expert group on strengthening cultural heritage resilience for anthropogenic climate change, the impacts of climate change, particularly extreme weather events, on cultural heritage in Europe have become increasingly evident in recent years and are progressing at an unprecedented speed and scale. Archaeological sites, museum collections, and historical buildings and structures are affected, among others, by rising temperatures or by heavy storms and precipitation events. Deep scientific knowledge about future climate projections is required to develop appropriate preservation strategies and measures to protect and adapt cultural heritage. In this paper we present the first set of results of the KERES project. The project focuses on the impacts of future extreme climate events on the built heritage and historic gardens. An ensemble of climate simulations is used to analyze changes in both climatology and extreme events for several climate variables at two cultural heritage sites in Germany. In this study, a methodology was developed to guide climate scientists on how to better tailor climate information for the needs of stakeholders in the cultural heritage sector. It would help the stakeholders to integrate the results of climate projections into the prevention and emergency management, in particular for the risk assessment of extreme events. The effects of interpolation from a model grid to a location of cultural heritage site and advantages of an ensemble approach have been demonstrated in the study.
  • Publication
    Best-of-Breed: Service-Oriented Integration of Artificial Intelligence in Interoperable Educational Ecosystems
    ( 2023)
    Krauß, Christopher orcid-logo
    ;
    Streicher, Alexander
    ;
    Poxleitner, Eva
    ;
    Altun, Daniela
    ;
    Müller, Joanna
    ;
    An, Truong-Sinh
    ;
    Müller, Christoph
    Artificial Intelligence (AI) offers great potential for optimizing learning processes, teaching methods, learning content, or organizational procedures. However, the success of AI components in educational environments is by no means guaranteed and depends on several conditions in their respective learning settings. In this article, we analyze requirements that are often addressed prior to introducing AI features. We address organizational, methodological, didactical, content-related, and technical challenges. The research question of this work is how AI features can best be incorporated into modern educational system landscapes to create sustainable system architectures that are accepted and perceived as added value by users. Thereby, the article discusses two approaches to software architecture: Best-of-Suite (for monolithic architectures) and Best-of-Breed (for service-oriented architectures). Monolithic systems offer a wide range of functions, can be offered by a single provider but can become difficult to manage and create dependencies. Specialized and service-oriented systems, in turn, consist of modular functions handled by specialized services, are more flexible and scalable, and can be integrated with a wide range of tools and services, but require more effort to set up and manage. We explain why the Best-of-Breed strategy is a sensible approach to the use of AI components, how this can be implemented sustainably with the help of a middleware component, and we report on the user experiences from a field test. While in this work we evaluate the implemented system with a cybersecurity training as an on-the-job course, the middleware has been successfully used in other educational contexts, as well.