TY - CHAP A1 - Jüngst, Heike T1 - Würmer auf Reisen BT - Worms on Holiday T2 - Zielsprache Englisch Y1 - 1999 VL - 29 IS - 4 SP - 9 EP - 10 ER - TY - JOUR A1 - Jüngst, Heike Elisabeth T1 - Jungs, Mädchen und Internationales : Diversität in englischen und deutschen Kinderkochbüchern der 1960er- bis 1990er-Jahre JF - kjl&m Y1 - 2022 SN - 1864-144X IS - 3 SP - 40 EP - 48 PB - kopaed-Verlag CY - München ER - TY - JOUR A1 - Wahyudi, Vincent A1 - Ziegler, Cedric C. A1 - Frieß, Matthias A1 - Schramm, Stefan A1 - Lang, Constantin A1 - Eberhardt, Lars A1 - Freund, Fabian A1 - Dobhan, Alexander A1 - Storath, Martin T1 - A computer vision system for recognition and defect detection for reusable containers JF - Machine Vision and Applications N2 - Abstract Small load carriers (SLCs) are standardized reusable containers used to transport and protect customer goods in many manufacturers. Throughout the life cycle of the SLCs, they will be collected, manually checked for defects (wear, cracks, and residue on the surface), and cleaned by specialized logistic companies. Human operators in small to medium-sized companies manually evaluate the defects due to the variety and degree of possible defects and varying customer needs. This manual evaluation is not scalable and prone to errors. This work aims to fill this gap by proposing a computer vision system that can recognize the SLC type for inventory management and perform defect detection automatically. First, we develop a camera portal, consisting of standard components, that capture the relevant surfaces of the SLC. A labeled dataset of 17,530 images of 34 different SLCs with their defect status was recorded using this camera portal. We trained a classification model (ConvNeXt) using our dataset to predict the different types of SLCs achieving 100% class prediction accuracy. For defect detection, we explore eight state-of-the-art (SOTA) anomaly detection models that achieved high rankings in the MVTec industrial anomaly detection benchmark. These models are trained using default hyperparameters and the two highest-scoring models were chosen and fine-tuned. The best-fine-tuned models based on “Area under the Receiver Operating Characteristic Curve (AUROC)” are PatchCore (0.811) and DRAEM (0.748). These results indicate that there is still potential for improvement in the automation of defect detection of SLCs. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-57430 SN - 0932-8092 VL - 36 IS - 2 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Müller, Jonas A1 - Eberhardt, Lars A1 - Wahyudi, Vincent A1 - Storath, Martin A1 - Dobhan, Alexander T1 - Towards an Approach on Location Data Analysis for Reusable Small-load Carriers T2 - Proceedings of the 58th Hawaii International Conference on System Sciences Y1 - 2025 UR - https://hdl.handle.net/10125/109488 ER - TY - JOUR A1 - Wimmer, Georg A1 - Clemens, M. A1 - Lang, J. A1 - Teleaga, D. T1 - Transient 3D Magnetic Field Simulation with Combined Space and Time Adaptivity for Lowest Order WFEM Formulations JF - IET Science, Measurement & Technology Y1 - 2009 UR - http://permalink.bibkatalog.de/BV022387360 VL - 3 IS - 6 SP - 1 EP - 7 ER - TY - CHAP A1 - Wimmer, Georg A1 - Clemens, M. A1 - Teleaga, D. A1 - Lang, J. T1 - Space and Time Adaptive Calculation of Transient 3D Magnetic Fields BT - Numerical Mathematics and Advanced Applications Proceedings of ENUMATH 2007 T2 - the 7th European Conference on Numerical Mathematics and Advanced Applications Y1 - 2007 U6 - https://doi.org/10.1007/978-3-540-69777-0_12 CY - Graz, Österreich ER - TY - JOUR A1 - Wimmer, Georg A1 - Clemens, M. A1 - Lang, J. A1 - Teleaga, D. A1 - Wimmer, G. T1 - Adaptivity in Space and Time for Magnetoquasistatics JF - Journal of Computational Mathematics Y1 - 2009 VL - 27 SP - 642 EP - 656 ER - TY - CHAP A1 - Targitay, Deniz A1 - Roth, Lisa A1 - Zink, Markus H. A1 - Küchler, Andreas A1 - Bier, Markus A1 - Kobus, Maja A1 - Geißler, Michael A1 - Schlittler, Balz T1 - An FEM simulation model of oil-pressboard insulating systems for HVDC transformers T2 - 23rd International Symposium on High Voltage Engineering (ISH 2023) N2 - In this contribution, a simulation model for the description of the nonlinear dielectric behaviour of an insulation system composed of mineral oil and oil-impregnated pressboard is presented. The model was verified by comparing the simulation results with electric field and current measurements. At the outset, the ideal case, where a homogeneous initial charge carrier distribution according to the definition of ohmic conductivity is present, is analysed to establish the preliminary foundations pertaining to a typical measurement. Following that, the influence of distinct charge carriers on the measured quantities are investigated by altering their parametrisations. In contrast to the ideal case, a real measurement reveals a current trend, that can be explained by an excess amount of initial charge carriers related to the oil-impregnated pressboard layers. Potential possibilities to the origin of the surplus are discussed. Furthermore, it is shown that the dissociable and intrinsic charge carriers alone can reconstruct the measured quantities in terms of the transient behaviour. This points out that, for the field strength studied here ( E ≤ 1 kV/mm ), the charging of the highly resistive pressboard barriers is dominated by the dissociation of charge carriers in the oil gaps. KW - Mineral oil KW - Oil-impregnated pressboard KW - Poisson-Nernst-Planck theory KW - Ion drift KW - Electric current Y1 - 2023 UR - https://doi.org/10.1049/icp.2024.0488 PB - Institution of Engineering & Technology ER - TY - JOUR A1 - Volz, Stefan A1 - Storath, Martin A1 - Weinmann, Andreas T1 - Degrees-of-freedom penalized piecewise regression JF - Information and Inference: A Journal of the IMA N2 - Many popular piecewise regression models rely on minimizing a cost function on the model fit with a linear penalty on the number of segments. However, this penalty does not take into account varying complexities of the model functions on the segments potentially leading to overfitting when models with varying complexities, such as polynomials of different degrees, are used. In this work, we enhance on this approach by instead using a penalty on the sum of the degrees of freedom over all segments, called degrees-of-freedom penalized piecewise regression. We show that the solutions of the resulting minimization problem are unique for almost all input data in a least squares setting. We develop a fast algorithm that does not only compute a minimizer but also determines an optimal hyperparameter—in the sense of rolling cross validation with the one standard error rule—exactly. This eliminates manual hyperparameter selection. Our method supports optional user parameters for incorporating domain knowledge. We provide an open-source Python/Rust code for the piecewise polynomial least squares case which can be extended to further models. We demonstrate the practical utility through a simulation study and by applications to real data. A constrained variant of the proposed method gives state-of-the-art results in the Turing benchmark for unsupervised changepoint detection. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-57846 SN - 2049-8772 VL - 14 IS - 1 PB - Oxford University Press ER - TY - JOUR A1 - Chaudhary, Renu A1 - Diethelm, Kai A1 - Hashemishahraki, Safoura T1 - On the separation of solutions to fractional differential equations of order α ∈ (1, 2) JF - Applied Numerical Mathematics N2 - Given a Caputo-type fractional differential equation with order between 1 and 2, we consider two distinct solutions to this equation subject to different sets of initial conditions. In this framework, we discuss nontrivial upper and lower bounds for the difference between these solutions. The main emphasis is on describing how such bounds are related to the differences of the associated initial values. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-57338 VL - 203 SP - Article No. 38 ER -