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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Meindl, M. Liu, X.J. Hilpert, F. Marciello, Valerio Di Stasio, Mario Maerz, M. Friedrich-Alexander-Universität Erlangen-Nürnberg Institute of Power Electronics Germany Fraunhofer Institute for Integrated Systems and Device Technology Iisb Germany University of Naples "Federico II" Department of Industrial Engineering Italy

ISBN: (纸本)9788957083505

Electric propulsion systems are considered one possibility to reach the ambitious goals of the European Union's Flightpath 2050 concerning greenhouse gas emissions and noise. This paper proposes an engineering architecture design of an electric motor for a propulsion system in a hybrid-electric regional aircraft. The project partners defined the performance requirements for the thrust of the propulsion system. The electric drive motor for the propellers was calculated and then simulated. The motor is specified in this paper, with the materials possible for construction. © 2023 The Korean institute of Power Electronics.

关键词： Electric drives

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The Need for Smart Shop Floor Management in the Automotive Industry: Potentials, Challenges and Requirements 6

The Need for Smart Shop Floor Management in the Automotive I...

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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Kutz, Janika Viljoen, Altus Feike, Maximilian Przybilla, Leonard Guhl, Jakob Neuhüttler, Jens Krcmar, Helmut Fraunhofer IAO Fraunhofer Institute for Industrial Engineering IAO Heilbronn74076 Germany Informatik 17 - Information Systems and Business Process Management Krcmar Lab Technical University of Munich i17 Boltzmannstraße 3Garching b München85748 Germany Bauhaus-University Weimar Weimar99423 Germany

Industry 4.0 and the accompanying digital transformation of the modern-day factory have led to various advances in manufacturing. Shop floor management (SFM) - a core instrument of production management - has to align with these digital advances as well. However, due to SFM's strong human-centric roots and manufacturers predominantly conducting SFM through analog means, it raises the question of what sort of digital support should be used for SFM and what specifications should be included in digital SFM systems. This study, consisting of a case study comprising semi-structured interviews and on-site inspections at a large original equipment manufacturer (OEM), provides concrete requirements for digitally-supported SFM derived from practice. We investigated which elements from analog SFM should be retained and where possible improvements through digital support exist. Moreover, we identified definitive improvement potentials such as the aggregation of data sources, as well as the preparation, performance, and documentation of shop floor meetings without disruptions in information flows. We conclude that digital transformation in the SFM context neither implies the mere introduction of software to solve specific problems, nor the full automation of SFM processes through digital solutions (what we call "digital" SFM). Rather, we highlight the importance of "smart SFM": the adoption of sociotechnical systems in which SFM's traditional social characteristics are maintained but are simultaneously sensibly augmented with digital solutions to improve SFM processes. © 2025 Elsevier B.V.. All rights reserved.

关键词： Automotive industry

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A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving

A Safe Control Architecture Based on Robust Model Predictive...

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2022 American Control Conference, ACC 2022

作者： Nezami, Maryam Nguyen, Ngoc Thinh Mannel, Georg Abbas, Hossam Seddik Schildbach, Georg University of Lübeck Institute for Electrical Engineering in Medicine Lübeck Germany University of Lübeck Institute for Robotics and Cognitive Systems Lübeck Germany Fraunhofer Imte Fraunhofer Research Institution for Individualized and CellBased Medical Engineering Lübeck Germany

ISBN: (数字)9781665451963

ISBN: (纸本)9781665451963

This paper proposes a Robust Safe Control Architecture (RSCA) for safe-decision making. The system to be controlled is a vehicle in the presence of bounded disturbances. The RSCA consists of two parts: a Supervisor MPC and a Controller MPC. Both the Supervisor and the Controller are tube MPCs (TMPCs). The Supervisor MPC provides a safety certificate for an operating controller and a backup control input in every step. After an unsafe action by the operating controller is predicted, the Controller MPC takes over the system. In this paper, a method for the computation of a terminal set is proposed, which is robust against changes in the road curvature and forces the vehicle to reach a safe reference. Moreover, two important proofs are provided in this paper. First, it is shown that the backup control input is safe to be applied to the system to lead the vehicle to a safe state. Next, the recursive feasibility of the RSCA is proven. By simulating some obstacle avoidance scenarios, the effectiveness of the proposed RSCA is confirmed. © 2022 American Automatic Control Council.

关键词： Controllers

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Experimental Investigations of the Preload-time-behaviour of Lockstud systems Enhanced by Finite Element Analysis 34th

Experimental Investigations of the Preload-time-behaviour of...

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34th International Ocean and Polar engineering Conference, ISOPE 2024

作者： Hagemann, Melanie Schwarz, Mathias Schröder, Markus Blunk, Christoph Glienke, Ralf Schwerdt, Daniela Henkel, Knuth-Michael University of Applied Sciences Technology Business and Design Wismar Germany Fraunhofer-Institute for Large Structures in Production Engineering IGP Rostock Germany Howmet Fastening Systems-Industrial Fastener Division Telford United Kingdom University of Rostock Faculty of Mechanical Engineering and Marine Technology Chair of Joining Technology Rostock Germany

ISBN: (纸本)9781880653784

This article presents current results on the initial preload of Lockstud systems of nominal sizes M12 to M20, property class 8.8 and 10.9 in uncoated black, zinc flake coated and hot-dip galvanised conditions during the assembly process. In addition, it provides design recommendations for the preload as given in accordance with Technical Bulletin DVS/EFB 3435-2. Comprehensive numerical investigations of Lockstud systems have shown validated simulations of the assembly process, including the resulting preload (2D model), the stress concentrations with critical failure locations (3D model) and additionally the slip load of a slip-resistant connection (3D model). © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Finite element method

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Simulation-based Optimization of Flexible Energy systems in Manufacturing with Local Energy Production and Storage Components 56

Simulation-based Optimization of Flexible Energy Systems in ...

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56th CIRP International Conference on Manufacturing systems, CIRP CMS 2023

作者： Breitschopf, Johannes Sobottka, Thomas Zabik, Gabriela Ansari, Fazel Fraunhofer Austria Research GmbH Theresianumgasse 7 Wien1040 Austria TU Wien Institute of Management Science Department of Industrial and Systems Engineering Vienna1040 Austria TU Wien Institute for Energy Systems and Thermodynamics Getreidemarkt 9/BA Wien1060 Austria

This paper introduces a simulation-based planning method that metaheuristically optimizes production planning and the control of components of a flexible energy system for energy intensive production. Significantly increasing energy efficiency and energy flexibility are key requirements and success factors, especially for energy-intensive manufacturers, amid rising energy prices, volatility, and the overall need to reduce the energy and pollution footprint. The considerable potential for an optimized integrated planning and control of production and energy system components remains unexhausted, due to the underlying planning complexity, combined with a lack of available planning methods. This paper aims to introduce a novel planning approach that provides an automated integrated planning functionality to improve energy efficiency and flexibility alongside production goals. The method considers fluctuating short-term energy markets as well as local hydrogen-based energy storage components. Both method development and evaluation are based on a case study in energy-intensive steel production. The achieved results show a significant benefit from the developed dynamic planning and optimization for different variables particularly in two different heat-treatment process technologies. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing systems 2023.

关键词： flexible energy systems metaheuristics production planning and control simulation-based optimization sustainable production

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Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation Under Degradation

Frequency-Domain Refinement of Vision Transformers for Robus...

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2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025

作者： Karimijarbigloo, Sanaz Kolahi, Sina Ghorbani Azad, Reza Bagci, Ulas Merhof, Dorit Tarbiat Modares University Department of Industrial and Systems Engineering Tehran Iran Northwestern University Department of Radiology Chicago United States University of Regensburg Faculty of Informatics and Data Science Regensburg Germany Fraunhofer Institute for Digital Medicine Mevis Bremen Germany

ISBN: (纸本)9798331510831

Medical image segmentation is crucial for precise diagnosis, treatment planning, and disease monitoring in clinical settings. While convolutional neural networks (CNNs) have achieved remarkable success, they struggle with modeling long-range dependencies. Vision Transformers (ViTs) address this limitation by leveraging self-attention mechanisms to capture global contextual information. However, ViTs often fall short in local feature description, which is crucial for precise segmentation. To address this issue, we reformulate self-attention in the frequency domain to enhance both local and global feature representation. Our approach, the Enhanced Wave Vision Transformer (EW-ViT), incorporates wavelet decomposition within the self-attention block to adaptively refine feature representation in low and high-frequency components. We also introduce the Prompt-Guided High-Frequency Refiner (PGHFR) module to handle image degradation, which mainly affects high-frequency components. This module uses implicit prompts to encode degradation-specific information and adjust high-frequency representations accordingly. Additionally, we apply a contrastive learning strategy to maintain feature consistency and ensure robustness against noise, leading to state-of-the-art (SOTA) performance in medical image segmentation, especially under various conditions of degradation. Source code is available at GitHub. © 2025 IEEE.

关键词： Convolutional neural networks

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Improving AFLGo's Directed Fuzzing by Considering Indirect Function Calls

Improving AFLGo's Directed Fuzzing by Considering Indirect F...

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IEEE/ACM International Conference on Automated Software engineering - Workshops (ASE Workshops)

作者： Fabian Jezuita Quality Engineering (SQC) Fraunhofer Institute for Open Communication Systems Berlin Germany

Directed fuzzing is a sophisticated security testing technique that aims to find vulnerabilities in specific locations of a software system. It is thus used in cases where targeting a pre-defined section of a system under test (SUT) is required. The directed fuzzer AFLGo utilizes abstract representations, such as call graphs and control-flow graphs, of the SUT to accomplish directedness. These representations however do not consider indirect function calls, more specifically function pointers. This might distort AFLGo's process of guiding the testing towards the desired locations. In the worst case, it might even break the dirpctpilnpss altogether, This paper introduces Marauder's Map, an extension for AFLGo that rectifies this problem. Its implementation is discussed and experiments with various SUTs are conducted to investigate how AFLGo's directed fuzzing benefits from the consideration of indirect function calls. It shows that Marauder's Map is able to expose vulnerabilities up to five times faster than the unaltered version of AFLGo.

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Pattern-based Requirements Elicitation for Sovereign Data Sharing

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Procedia Computer Science 2025年 254卷 147-156页

作者： Julia Pampus Maritta Heisel Fraunhofer Institute for Software and Systems Engineering ISST Speicherstraβe 6 44147 Dortmund Germany University of Duisburg-Essen Bismarckstr 90 47057 Duisburg Germany

The growing data economy increasingly focuses on self-determined and autonomous data sharing, supported by infrastructures that create a trustful and secure environment. A key feature in this context is the offering, negotiation, and enforcement of so-called data usage conditions (DUCs), also known as policies. The design of involved software systems requires a structured and stakeholder-specific elicitation of technical requirements. To address this issue, we define a requirements model, consisting of actor, dataset, and condition entities, for sovereign data sharing and present a method for requirements elicitation in form of a five-step agenda with 13 validation conditions (VCs). The application of this method produces a set of instantiated requirements templates that provide descriptive information about involved actors, identified datasets, and applied DUCs. We demonstrate our method using an established use case from the automotive industry and evaluate it in qualitative expert interviews.

关键词： Data Sharing Sovereignty Data Usage Conditions Data Spaces Patterns Requirements engineering

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Training robust and generalizable quantum models

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Physical Review Research 2024年第4期6卷 043326-043326页

作者： Julian Berberich Daniel Fink Daniel Pranjić Christian Tutschku Christian Holm University of Stuttgart Institute for Systems Theory and Automatic Control 70569 Stuttgart Germany University of Stuttgart Institute for Computational Physics 70569 Stuttgart Germany Fraunhofer IAO Fraunhofer Institute for Industrial Engineering 70569 Stuttgart Germany

Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machine learning based on Lipschitz bounds. We derive parameter-dependent Lipschitz bounds for quantum models with trainable encoding, showing that the norm of the data encoding has a crucial impact on the robustness against data perturbations. Further, we derive a bound on the generalization error which explicitly involves the parameters of the data encoding. Based on these theoretical results, we propose a practical strategy for training robust and generalizable quantum models by regularizing the Lipschitz bound in the cost. Moreover, we show that, for fixed and nontrainable encodings, as those frequently employed in quantum machine learning, the Lipschitz bound cannot be influenced by tuning the parameters. Thus trainable encodings are crucial for systematically adapting robustness and generalization during training. The practical implications of our theoretical findings are illustrated with numerical results.

关键词： Encoding (symbols)

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Illuminating Smart City Solutions – A Taxonomy and Clusters 44

Illuminating Smart City Solutions – A Taxonomy and Clusters

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44th International Conference on Information systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023

作者： Jonas, Claudius M. Oberländer, Anna Maria Schmitt, Kevin Ebel, Philipp Research Center for Information Management Branch Business & Information Systems Engineering of the Fraunhofer FIT University of Bayreuth Germany Institute of Information Management University of St. Gallen St. Gallen Switzerland

ISBN: (纸本)9781713893622

With urban problems intensifying, Smart City solutions are recognized by researchers and practitioners as one of the most promising solutions to make urban areas economically, environmentally, and socially sustainable. While many elements of Smart City solutions have been explored, existing works either treat Smart City solutions as technical black boxes or focus exclusively on Smart City solutions’ technical or nontechnical characteristics. Therefore, to conceptualize the unique characteristics of Smart City solutions currently available, we developed a multi-layer taxonomy based on Smart City solution literature and a sample of 106 Smart City solutions. Moreover, we identified three clusters, each covering a typical combination of characteristics of Smart City solutions. We evaluated our findings by applying the Q-sort method. The results contribute to the descriptive knowledge of Smart City solutions as a first step for a theory for analyzing and enable researchers and practitioners to understand Smart City solutions more holistically. © 2023 International Conference on Information systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Hu. All Rights Reserved.

关键词： Taxonomies

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