Fraunhofer-Publica

The Fraunhofer-Publica has been successfully documenting the research results of the Fraunhofer-Gesellschaft for over 30 years. The platform enables the collaborative linking of research-relevant objects and disseminates within the international scientific community.

The Fraunhofer-Publica thus fulfils its responsibility to promote the transfer of knowledge and know-how to industry and society.

Categories

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Research outputs

As an application-oriented research organisation, Fraunhofer aims to conduct highly innovative and solution-oriented research - for the benefit of society and to strengthen the German and European economy.

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Projects

Fraunhofer is tackling the current challenges facing industry head on. By pooling their expertise and involving industrial partners at an early stage, the Fraunhofer Institutes involved in the projects aim to turn original scientific ideas into marketable products as quickly as possible.

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Researchers

Scientific achievement and practical relevance are not opposites - at Fraunhofer they are mutually dependent. Thanks to the close organisational links between Fraunhofer Institutes and universities, science at Fraunhofer is conducted at an internationally first-class level.

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Institutes

The Fraunhofer-Gesellschaft is the leading organisation for applied research in Europe. Institutes and research facilities work under its umbrella at various locations throughout Germany.

Recent Additions

  • Publication
    Towards Access Control for Machine Learning Embeddings
    ( 2024-06)
    Matzutt, Roman
    In this work, we explore the potential to make embeddings, which are becoming an integral part of machine-learning pipelines, shareable with the general public while providing self-contained access control. To this end, we apply attribute-based encryption and discuss a potential application for supply chain management.
  • Publication
    A Meter Placement Strategy for Distribution Grids Based on Cost–Benefit Analysis
    ( 2024)
    Pau, Marco
    ;
    Ginocchi, Mirko
    ;
    Pacheco, David
    ;
    Ponci, Ferdinanda
    ;
    Monti, Antonello
    Distribution system operators are progressively expanding the measurement infrastructure in their grids to enhance the real-time monitoring capabilities. Meter placement algorithms allow identifying the best type and location for new measurements, thus being a key tool in support of meter installation decisions and planning. Existing meter placement solutions aim at reducing the monitoring uncertainties below an arbitrary accuracy threshold, but typically they are not explicitly linked to some tangible benefits achievable by the grid operator via the measurement infrastructure upgrade. This article aims at filling this gap by presenting an overall meter placement strategy that takes into account how the monitoring uncertainties translate into costs for avoiding contingencies and then drives the meter placement process according to the economic benefit resulting from the reduction of those uncertainties. An exemplary implementation is presented to describe the underlying concepts and the role and functionalities of the different software components involved in the meter placement cost–benefit analysis. Simulations performed on a sample grid show the application of the proposed meter placement strategy in a realistic scenario and highlight how this may be used to determine not only type and location of the new meters but also the number of measurements that makes sense to install according to cost–benefit criteria.

Most viewed

  • Publication
    Tailoring the MontiArcAutomaton Component & Connector ADL for Generative Development
    ( 2015)
    Ringert, J.O.
    ;
    Rumpe, B.
    ;
    Wortmann, A.
    Component & connector (C&C) architecture description languages (ADLs) combine component-based software engineering and model-driven engineering to increase reuse and to abstract from implementation details. Applied to robotics application development, current C&C ADLs often require domain experts to provide component behavior descriptions as programming language artifacts or as models of a-priori fixed behavior modeling languages. They are limited to specific target platforms or require extensive handcrafting to transform platform-independent software architecture models into platform-specific implementations. We have developed the MontiArcAutomaton framework that combines structural extension of C&C concepts with integration of application-specific component behavior modeling languages, seamless transformation from logical into platform-specific software architectures, and a-posteriori black-box composition of code generators for different robotics platforms. This paper describes the roles and activities for tailoring MontiArcAutomaton to application-specific demands.