TY - JOUR A1 - Nan, Yang A1 - Del Ser, Javier A1 - Walsh, Simon A1 - Schönlieb, Carola A1 - Roberts, Michael A1 - Selby, Ian A1 - Howard, Kit A1 - Owen, John A1 - Neville, Jon A1 - Guiot, Julien A1 - Ernst, Benoit A1 - Pastor, Ana A1 - Alberich-Bayarri, Angel A1 - Menzel, Marion Irene A1 - Walsh, Sean A1 - Vos, Wim A1 - Flerin, Nina A1 - Charbonnier, Jean-Paul A1 - Rikxoort, Eva van A1 - Chatterjee, Avishek A1 - Woodruff, Henry A1 - Lambin, Philippe A1 - Cerdá-Alberich, Leonor A1 - Martí-Bonmatí, Luis A1 - Herrera, Francisco A1 - Yang, Guang T1 - Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions JF - Information Fusion N2 - Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness. Previous studies have described various computational approaches to fuse single modality multicentre datasets. However, these surveys rarely focused on evaluation metrics and lacked a checklist for computational data harmonisation studies. In this systematic review, we summarise the computational data harmonisation approaches for multi-modality data in the digital healthcare field, including harmonisation strategies and evaluation metrics based on different theories. In addition, a comprehensive checklist that summarises common practices for data harmonisation studies is proposed to guide researchers to report their research findings more effectively. Last but not least, flowcharts presenting possible ways for methodology and metric selection are proposed and the limitations of different methods have been surveyed for future research UR - https://doi.org/10.1016/j.inffus.2022.01.001 KW - Information fusion KW - data harmonisation KW - data standardisation KW - domain adaptation KW - reproducibility Y1 - 2022 UR - https://doi.org/10.1016/j.inffus.2022.01.001 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13845 SN - 1566-2535 VL - 2022 IS - 82 SP - 99 EP - 122 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Handels, Heinz ED - Deserno, Thomas Martin ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph ED - Tolxdorff, Thomas T1 - Augmented mitotic cell count using field of interest proposal T2 - Bildverarbeitung für die Medizin 2019, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck UR - https://doi.org/10.1007/978-3-658-25326-4_71 Y1 - 2019 UR - https://doi.org/10.1007/978-3-658-25326-4_71 SN - 978-3-658-25325-7 SN - 978-3-658-25326-4 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 321 EP - 326 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Aubreville, Marc A1 - Goncalves, Miguel A1 - Knipfer, Christian A1 - Oetter, Nicolai A1 - Würfl, Tobias A1 - Neumann, Helmut A1 - Stelzle, Florian A1 - Bohr, Christopher A1 - Maier, Andreas T1 - Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract T2 - Biomedical Engineering Systems and Technologies UR - https://doi.org/10.1007/978-3-030-29196-9_4 KW - Confocal Laser Endomicroscopy KW - Transfer learning KW - Head and neck squamous cell carcinoma Y1 - 2019 UR - https://doi.org/10.1007/978-3-030-29196-9_4 SN - 978-3-030-29195-2 SN - 978-3-030-29196-9 SN - 1865-0929 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 67 EP - 85 PB - Springer CY - Cham ER - TY - CHAP A1 - Marzahl, Christian A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Gerlach, Stefan A1 - Maier, Jennifer A1 - Voigt, Jörn A1 - Hill, Jenny A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Tolxdorff, Thomas ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph T1 - Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? T2 - Bildverarbeitung für die Medizin 2020, Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin UR - https://doi.org/10.1007/978-3-658-29267-6_5 Y1 - 2020 UR - https://doi.org/10.1007/978-3-658-29267-6_5 SN - 978-3-658-29266-9 SN - 978-3-658-29267-6 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 26 EP - 31 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Jabari, Samir A1 - Marzahl, Christian A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Tolxdorff, Thomas ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph T1 - Inter-species, inter-tissue domain adaptation for mitotic figure assessment BT - learning new tricks from old dogs T2 - Bildverarbeitung für die Medizin 2020, Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin UR - https://doi.org/10.1007/978-3-658-29267-6_1 Y1 - 2020 UR - https://doi.org/10.1007/978-3-658-29267-6_1 SN - 978-3-658-29266-9 SN - 978-3-658-29267-6 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 1 EP - 7 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Hahn, Carsten A1 - Phan, Thomy A1 - Gabor, Thomas A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning T2 - Artificial Life Conference Proceedings UR - https://doi.org/10.1162/isal_a_00226 Y1 - 2019 UR - https://doi.org/10.1162/isal_a_00226 SP - 598 EP - 605 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Gabor, Thomas A1 - Illium, Steffen A1 - Mattausch, Andy A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - Self-Replication in Neural Networks T2 - Artificial Life Conference Proceedings UR - https://doi.org/10.1162/isal_a_00197 Y1 - 2019 UR - https://doi.org/10.1162/isal_a_00197 SP - 424 EP - 431 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Kiermeier, Marie A1 - Friedrich, Markus A1 - Schmid, Kyrill A1 - Linnhoff-Popien, Claudia T1 - Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling T2 - AAAI-19 / IAAI-19 / EAAI-20 Proceedings UR - https://doi.org/10.1609/aaai.v33i01.33017941 Y1 - 2019 UR - https://doi.org/10.1609/aaai.v33i01.33017941 SN - 2374-3468 VL - 33 IS - 1 SP - 7941 EP - 7948 PB - AAAI Press CY - Palo Alto ER - TY - CHAP A1 - Feld, Sebastian A1 - Sedlmeier, Andreas A1 - Friedrich, Markus A1 - Franz, Jan A1 - Belzner, Lenz T1 - Bayesian Surprise in Indoor Environments T2 - SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems UR - https://doi.org/10.1145/3347146.3359358 KW - Bayesian Surprise KW - Novelty KW - Salience KW - Isovist Analysis KW - Indoor Location- Based Service KW - Indoor LBS KW - Indoor Navigation KW - Trajectory Characterization Y1 - 2019 UR - https://doi.org/10.1145/3347146.3359358 SN - 978-1-4503-6909-1 PB - ACM CY - New York ER - TY - JOUR A1 - Posor, Jorrit Enzio A1 - Belzner, Lenz A1 - Knapp, Alexander T1 - Joint Action Learning for Multi-Agent Cooperation using Recurrent Reinforcement Learning JF - Digitale Welt UR - https://doi.org/10.1007/s42354-019-0239-y Y1 - 2019 UR - https://doi.org/10.1007/s42354-019-0239-y SN - 2569-1996 VL - 4 IS - 1 SP - 79 EP - 84 PB - Digitale Welt Academy CY - München ER - TY - CHAP A1 - Gabor, Thomas A1 - Sünkel, Leo A1 - Ritz, Fabian A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Roch, Christoph A1 - Feld, Sebastian A1 - Linnhoff-Popien, Claudia T1 - The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline T2 - ICSEW'20 : Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops UR - https://doi.org/10.1145/3387940.3391469 KW - quantum computing KW - artificial intelligence KW - software engineering Y1 - 2020 UR - https://doi.org/10.1145/3387940.3391469 SN - 978-1-4503-7963-2 SP - 456 EP - 461 PB - ACM CY - New York ER - TY - JOUR A1 - Gabor, Thomas A1 - Sedlmeier, Andreas A1 - Phan, Thomy A1 - Ritz, Fabian A1 - Kiermeier, Marie A1 - Belzner, Lenz A1 - Kempter, Bernhard A1 - Klein, Cornel A1 - Sauer, Horst A1 - Schmid, Reiner A1 - Wieghardt, Jan A1 - Zeller, Marc A1 - Linnhoff-Popien, Claudia T1 - The scenario coevolution paradigm BT - adaptive quality assurance for adaptive systems JF - International Journal on Software Tools for Technology Transfer N2 - Systems are becoming increasingly more adaptive, using techniques like machine learning to enhance their behavior on their own rather than only through human developers programming them. We analyze the impact the advent of these new techniques has on the discipline of rigorous software engineering, especially on the issue of quality assurance. To this end, we provide a general description of the processes related to machine learning and embed them into a formal framework for the analysis of adaptivity, recognizing that to test an adaptive system a new approach to adaptive testing is necessary. We introduce scenario coevolution as a design pattern describing how system and test can work as antagonists in the process of software evolution. While the general pattern applies to large-scale processes (including human developers further augmenting the system), we show all techniques on a smaller-scale example of an agent navigating a simple smart factory. We point out new aspects in software engineering for adaptive systems that may be tackled naturally using scenario coevolution. This work is a substantially extended take on Gabor et al. (International symposium on leveraging applications of formal methods, Springer, pp 137–154, 2018). UR - https://doi.org/10.1007/s10009-020-00560-5 Y1 - 2020 UR - https://doi.org/10.1007/s10009-020-00560-5 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13929 SN - 1433-2787 VL - 22 IS - 4 SP - 457 EP - 476 PB - Springer CY - Berlin ER - TY - CHAP A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Gabor, Thomas A1 - Sedlmeier, Andreas A1 - Ritz, Fabian A1 - Linnhoff-Popien, Claudia T1 - Resilient multi-agent reinforcement learning with adversarial value decomposition T2 - AAAI-21 / IAAI-21 / EAAI-21 Proceedings UR - https://ojs.aaai.org/index.php/AAAI/article/view/17348 KW - Multiagent Learning KW - Adversarial Learning & Robustness KW - Adversarial Agents KW - Reinforcement Learning Y1 - 2021 UR - https://ojs.aaai.org/index.php/AAAI/article/view/17348 SN - 978-1-57735-866-4 SN - 2374-3468 VL - 35 IS - 13 SP - 11308 EP - 11316 PB - AAAI Press CY - Palo Alto (CA) ER - TY - JOUR A1 - Belzner, Lenz A1 - Wirsing, Martin T1 - Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking JF - Science of Computer Programming UR - https://doi.org/10.1016/j.scico.2021.102620 KW - Policy synthesis KW - Constrained Markov decision process KW - Safe reinforcement learning KW - Bayesian model checking KW - Probabilistic constraints Y1 - 2021 UR - https://doi.org/10.1016/j.scico.2021.102620 SN - 0167-6423 VL - 2021 IS - 206 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schmid, Kyrill A1 - Belzner, Lenz A1 - Müller, Robert A1 - Tochtermann, Johannes A1 - Linnhoff-Popien, Claudia T1 - Stochastic market games T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence UR - https://doi.org/10.24963/ijcai.2021/54 Y1 - 2021 UR - https://doi.org/10.24963/ijcai.2021/54 SN - 978-0-9992411-9-6 SP - 384 EP - 390 PB - IJCAI CY - [s. l.] ER - TY - JOUR A1 - Pirkl, Carolin A1 - Nunez-Gonzalez, Laura A1 - Kofler, Florian A1 - Endt, Sebastian A1 - Grundl, Lioba A1 - Golbabaee, Mohammad A1 - Gómez, Pedro A. A1 - Cencini, Matteo A1 - Buonincontri, Guido A1 - Schulte, Rolf F. A1 - Smits, Marion A1 - Wiestler, Benedikt A1 - Menze, Bjoern H. A1 - Menzel, Marion Irene A1 - Hernandez-Tamames, Juan A. T1 - Accelerated 3D whole-brain T1, T2, and proton density mapping BT - feasibility for clinical glioma MR imaging JF - Neuroradiology N2 - Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods: To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results: The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion: 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints. UR - https://doi.org/10.1007/s00234-021-02703-0 KW - MRI KW - Image-based biomarkers KW - Multiparametric imaging KW - Glioma imaging KW - Neural networks Y1 - 2021 UR - https://doi.org/10.1007/s00234-021-02703-0 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13885 VL - 63 IS - 11 SP - 1831 EP - 1851 PB - Springer CY - Berlin ER - TY - CHAP A1 - Bertram, Christof A1 - Donovan, Taryn A1 - Tecilla, Marco A1 - Bartenschlager, Florian A1 - Fragoso-Garcia, Marco A1 - Wilm, Frauke A1 - Marzahl, Christian A1 - Breininger, Katharina A1 - Maier, Andreas A1 - Klopfleisch, Robert A1 - Aubreville, Marc T1 - Dataset on bi- and multi-nucleated tumor cells in canine cutaneous mast cell tumors T2 - Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7–9, 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_33 Y1 - 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_33 SN - 978-3-658-33197-9 SN - 978-3-658-33198-6 SN - 1431-472X SP - 134 EP - 139 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Schröter, H. A1 - Rosenkranz, Tobias A1 - Escalante-B, A. N. A1 - Aubreville, Marc A1 - Maier, Andreas T1 - CLCNET: deep learning-based noise reduction for hearing aids using complex linear coding T2 - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) UR - https://doi.org/10.1109/ICASSP40776.2020.9053563 KW - noise reduction KW - speech enhancement KW - LPC KW - hearing aid signal processing KW - deep learning Y1 - 2020 UR - https://doi.org/10.1109/ICASSP40776.2020.9053563 SN - 978-1-5090-6631-5 SP - 6949 EP - 6953 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Marzahl, Christian A1 - Bertram, Christof A1 - Wilm, Frauke A1 - Voigt, Jörn A1 - Barton, Ann K. A1 - Klopfleisch, Robert A1 - Breininger, Katharina A1 - Maier, Andreas A1 - Aubreville, Marc T1 - Cell detection for asthma on partially annotated whole slide images BT - learning to be EXACT T2 - Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7–9, 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_36 Y1 - 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_36 SN - 978-3-658-33197-9 SN - 978-3-658-33198-6 SN - 1431-472X SP - 147 EP - 152 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Schwarz, Jan Oliver A1 - Wach, Bernhard T1 - The usage of cultural products in design thinking: An assessment of an underestimated approach JF - The Design Journal UR - https://doi.org/10.1080/14606925.2021.2005879 KW - design thinking KW - design research KW - cultural products KW - customers KW - ethnography Y1 - 2022 UR - https://doi.org/10.1080/14606925.2021.2005879 SN - 1460-6925 SN - 1756-3062 VL - 25 IS - 1 SP - 4 EP - 24 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - de Candido, Oliver A1 - Koller, Michael A1 - Gallitz, Oliver A1 - Melz, Ron A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Towards feature validation in time to lane change classification using deep neural networks T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294555 KW - Feature extraction KW - Convolution KW - Computer architecture KW - Road transportation KW - Standards KW - Machine learning algorithms KW - Acceleration Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294555 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Fahrzeugsicherheit und automatisiertes Fahren BT - Methoden der Signalverarbeitung und des maschinellen Lernens UR - https://doi.org/10.3139/9783446468047 Y1 - 2020 UR - https://doi.org/10.3139/9783446468047 SN - 978-3-446-46804-7 SN - 978-3-446-45326-5 PB - Hanser CY - München ER - TY - CHAP A1 - Gallitz, Oliver A1 - de Candido, Oliver A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Interpretable feature generation using deep neural networks and its application to lane change detection T2 - 2019 IEEE Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC.2019.8917524 KW - Time series analysis KW - Kernel KW - Convolution KW - Feature extraction KW - Finite impulse response filters KW - Neural networks KW - Heating systems Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8917524 SN - 978-1-5386-7024-8 SP - 3405 EP - 3411 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Sánchez Morales, Eduardo A1 - Botsch, Michael A1 - Huber, Bertold A1 - García Higuera, Andrés T1 - High precision indoor navigation for autonomous vehicles T2 - 2019 International Conference on Indoor Positioning and Indoor Navigation UR - https://doi.org/10.1109/IPIN.2019.8911780 KW - Sensors KW - Automobiles KW - State estimation KW - Autonomous vehicles KW - Testing KW - Receivers KW - Discrete Fourier transforms Y1 - 2019 UR - https://doi.org/10.1109/IPIN.2019.8911780 SN - 978-1-7281-1788-1 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Chaulwar, Amit A1 - Al-Hashimi, Hussein A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Efficient hybrid machine learning algorithm for trajectory planning in critical traffic-scenarios T2 - The 4th International Conference on Intelligent Transportation Engineering, ICITE 2019 UR - https://doi.org/10.1109/ICITE.2019.8880266 KW - Trajectory Planning KW - Hybrid Machine Learning KW - Embedded Implementation Y1 - 2019 UR - https://doi.org/10.1109/ICITE.2019.8880266 SN - 978-1-7281-4553-2 SP - 196 EP - 202 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Sánchez Morales, Eduardo A1 - Botsch, Michael A1 - Huber, Bertold A1 - García Higuera, Andrés T1 - High precision indoor positioning by means of LiDAR T2 - 2019 DGON Inertial Sensors and Systems (ISS), Proceedings UR - https://doi.org/10.1109/ISS46986.2019.8943731 KW - Laser radar KW - Receivers KW - Automotive engineering KW - Earth KW - Estimation KW - Position measurement KW - Testing Y1 - 2019 UR - https://doi.org/10.1109/ISS46986.2019.8943731 SN - 978-1-7281-1935-9 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Sánchez Morales, Eduardo A1 - Membarth, Richard A1 - Gaull, Andreas A1 - Slusallek, Philipp A1 - Dirndorfer, Tobias A1 - Kammenhuber, Alexander A1 - Lauer, Christoph A1 - Botsch, Michael T1 - Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8814015 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8814015 SN - 978-1-7281-0560-4 SP - 2164 EP - 2171 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Liebhart, Bernhard A1 - Diehl, Simon A1 - Endisch, Christian T1 - Sensitivity analysis of battery cell aging estimators based on impedance spectroscopy regarding temperature compensation T2 - IEEE CCTA 2020, 4th IEEE Conference on Control Technology and Applications UR - https://doi.org/10.1109/CCTA41146.2020.9206395 KW - sensitivity analysis KW - impedance spectroscopy KW - temperature compensation KW - battery management systems KW - multiple lithium-ion cells KW - battery cell aging estimators KW - on board electric vehicles Y1 - 2020 UR - https://doi.org/10.1109/CCTA41146.2020.9206395 SN - 978-1-7281-7140-1 SP - 699 EP - 705 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Balasubramanian, Lakshman A1 - Wurst, Jonas A1 - Botsch, Michael A1 - Deng, Ke T1 - Traffic scenario clustering by iterative optimisation of self-supervised networks using a random forest activation pattern similarity T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575615 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575615 SN - 978-1-7281-5394-0 SP - 682 EP - 689 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kruber, Friedrich A1 - Wurst, Jonas A1 - Sánchez Morales, Eduardo A1 - Chakraborty, Samarjit A1 - Botsch, Michael T1 - Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8813994 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8813994 SN - 978-1-7281-0560-4 SP - 2463 EP - 2470 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kettelgerdes, Marcel A1 - Böhm, Lena A1 - Elger, Gordon T1 - Correlating Intrinsic Parameters and Sharpness for Condition Monitoring of Automotive Imaging Sensors T2 - 2021 5th International Conference on System Reliability and Safety (ICSRS) UR - https://doi.org/10.1109/ICSRS53853.2021.9660665 Y1 - 2021 UR - https://doi.org/10.1109/ICSRS53853.2021.9660665 SN - 978-1-6654-0049-7 SP - 298 EP - 306 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Ammalladene-Venkata, Manogna A1 - Seidel, Christian A1 - Halbe, Omkar A1 - Groitl, Christine A1 - Stahl, Christoph T1 - Deep Learning Based Obstacle Awareness from Airborne Optical Sensors T2 - 77th Annual Vertical Flight Society Forum and Technology Display (FORUM 77), the Future of Vertical Flight UR - https://doi.org/10.4050/F-0077-2021-16905 KW - Deep learning KW - Airborne Sensors KW - Obstacle Awareness Y1 - 2021 UR - https://doi.org/10.4050/F-0077-2021-16905 SN - 978-1-7138-3001-6 PB - Vertical Flight Society CY - Fairfax ER - TY - CHAP A1 - Schneider, Dominik A1 - Liebhart, Bernhard A1 - Endisch, Christian T1 - Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework T2 - 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2021) Proceedings UR - https://doi.org/10.1109/I2MTC50364.2021.9459790 Y1 - 2021 UR - https://doi.org/10.1109/I2MTC50364.2021.9459790 SN - 978-1-7281-9539-1 SN - 2642-2077 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schneider, Dominik A1 - Endisch, Christian T1 - Robustness and reliability of model-based sensor data fusion in a lithium-ion battery system T2 - IEEE CCTA 2020, 4th IEEE Conference on Control Technology and Applications UR - https://doi.org/10.1109/CCTA41146.2020.9206336 KW - Batteries KW - Robustness KW - Parameter estimation KW - Current measurement KW - Noise measurement KW - Data models KW - Kalman filters Y1 - 2020 UR - https://doi.org/10.1109/CCTA41146.2020.9206336 SN - 978-1-7281-7140-1 SP - 685 EP - 691 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Bschorer, Sabine A1 - Költzsch, Konrad T1 - Technische Strömungslehre BT - Mit 262 Aufgaben und 31 Beispielen UR - https://doi.org/10.1007/978-3-658-30407-2 Y1 - 2021 UR - https://doi.org/10.1007/978-3-658-30407-2 SN - 978-3-658-30407-2 SN - 978-3-658-30406-5 PB - Springer Vieweg CY - Wiesbaden ET - 12., überarbeitete und ergänzte Auflage ER - TY - JOUR A1 - Schneider, Dominik A1 - Liebhart, Bernhard A1 - Endisch, Christian T1 - Active state and parameter estimation as part of intelligent battery systems JF - Journal of Energy Storage UR - https://doi.org/10.1016/j.est.2021.102638 Y1 - 2021 UR - https://doi.org/10.1016/j.est.2021.102638 SN - 2352-1538 VL - 2021 IS - 39 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Balasubramanian, Lakshman A1 - Kruber, Friedrich A1 - Botsch, Michael A1 - Deng, Ke T1 - Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575433 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575433 SN - 978-1-7281-5394-0 SP - 674 EP - 681 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Terbrack, Christoph A1 - Stöttner, Julia A1 - Endisch, Christian T1 - Operation of an externally excited synchronous machine with a hybrid multilevel inverter T2 - 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe) UR - https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215895 KW - AC machine KW - Batteries KW - Converter circuit KW - Electrical drive KW - Electrical machine KW - High voltage power converters KW - Multilevel converters KW - Power converters for EV KW - Synchronous motor Y1 - 2020 UR - https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215895 SN - 978-9-0758-1536-8 PB - IEEE CY - Piscataway ER - TY - BOOK ED - Riener, Andreas ED - Appel, Alexandra ED - Dorner, Wolfgang ED - Huber, Thomas ED - Kolb, Jan Christopher ED - Wagner, Harry T1 - Autonome Shuttlebusse im ÖPNV BT - Analysen und Bewertungen zum Fallbeispiel Bad Birnbach aus technischer, gesellschaftlicher und planerischer Sicht N2 - Automatisiertes Fahren wird aktuell auf allen Ebenen diskutiert. Dieses Open Access Buch greift das Thema aus Sicht des ÖPNV auf und stellt Chancen und Risiken des Einsatzes automatisierter Shuttlebusse im Nahverkehr dar. Am Beispiel Bad Birnbach/Niederbayern wird gezeigt, welche Herausforderungen bei der Einführung eines solchen Services zu erwarten sind und wie diese gelöst werden können. Dabei fokussiert sich das Buch auf die Vermittlung von im Feld erhobenen Daten, z.B. zu technischen Schwierigkeiten, Erfahrungsberichten von Anwohnern und Gästen, Akzeptanz in der Bevölkerung, infrastrukturellen Anforderungen, etc. Konkrete Handlungsempfehlungen für Städteplaner, ÖPNV-Betreiber/-Strategen oder Kommunen, die eine Einführung automatisierter Busse in Erwägung ziehen, runden das Werk ab. UR - https://doi.org/10.1007/978-3-662-59406-3 KW - Autonomes Fahren KW - Multimodaler Verkehr KW - Verkehrsplanung für automatisierte Shuttlebusse KW - Gesellschaftliche Akzeptanz KW - Einsatzpotentiale von automatisierten Shuttlebussen KW - Open Access Y1 - 2020 UR - https://doi.org/10.1007/978-3-662-59406-3 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-14179 SN - 978-3-662-59406-3 SN - 978-3-662-59405-6 PB - Springer Vieweg CY - Berlin ER - TY - CHAP A1 - Sequeira, Gerald Joy A1 - Afraj, Shahabaz A1 - Lugner, Robert A1 - Brandmeier, Thomas T1 - LiDAR based prediction and contact based validation of crash parameters for a preemptive restraint strategy T2 - 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES.2019.8906354 KW - vehicle safety KW - integrated safety KW - predictive safety system KW - contour estimation KW - crash scenario prediction KW - crash validation Y1 - 2019 UR - https://doi.org/10.1109/ICVES.2019.8906354 SN - 978-1-7281-3473-4 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schneider, Kilian A1 - Lugner, Robert A1 - Brandmeier, Thomas T1 - LiDAR-based contour estimation of oncoming vehicles in pre-crash scenarios T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8813825 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8813825 SN - 978-1-7281-0560-4 SP - 2272 EP - 2277 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Held, Patrick A1 - Steinhauser, Dagmar A1 - Kamann, Alexander A1 - Koch, Andreas A1 - Brandmeier, Thomas A1 - Schwarz, Ulrich T1 - Micro-Doppler extraction of bicycle pedaling movements using automotive radar T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8813828 KW - Wheels KW - Bicycles KW - Radar KW - Doppler effect KW - Chirp KW - Automotive engineering KW - Safety Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8813828 SN - 978-1-7281-0560-4 SP - 744 EP - 749 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Steinhauser, Dagmar A1 - Held, Patrick A1 - Kamann, Alexander A1 - Koch, Andreas A1 - Brandmeier, Thomas T1 - Micro-Doppler extraction of pedestrian limbs for high resolution automotive radar T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8813850 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8813850 SN - 978-1-7281-0560-4 SN - 2642-7214 SP - 764 EP - 769 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Zaumseil, Patrick A1 - Steinhauser, Dagmar A1 - Held, Patrick A1 - Kamann, Alexander A1 - Brandmeier, Thomas T1 - Radar-based near field environment perception using back projection algorithm T2 - European Microwave Week 2019: "Universality Through Microwaves" Conference Proceedings KW - back projection approach KW - high resolution radar KW - perception Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8904568 SN - 978-2-87487-057-6 SN - 978-2-87487-054-5 SP - 257 EP - 260 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bhogaraju, Sri Krishna A1 - Conti, Fosca A1 - Schmid, Maximilian A1 - Meier, Markus A1 - Schweigart, Helmut A1 - Elger, Gordon T1 - Development of sinter paste with surface modified copper alloy particles for die-attach bonding T2 - ETG-Fachbericht 161, CIPS 2020, 11th International Conference on Integrated Power Electronics Systems Y1 - 2020 UR - https://www.vde-verlag.de/proceedings-de/455225100.html SN - 978-3-8007-5226-3 SN - 978-3-8007-5225-6 N1 - Auch veröffentlicht auf IEEE: https://ieeexplore.ieee.org/document/9097746 SP - 582 EP - 587 PB - VDE Verlag CY - Berlin ER - TY - CHAP A1 - Zippelius, Andreas A1 - Hanss, Alexander A1 - Liu, E A1 - Schmid, Maximilian A1 - Pérez-Velázquez, Judith A1 - Elger, Gordon T1 - Comparing prediction methods for LED failure measured with Transient Thermal Analysis T2 - 2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) UR - https://doi.org/10.1109/EuroSimE48426.2020.9152657 KW - Temperature measurement KW - Artificial neural networks KW - Light emitting diodes KW - Aging KW - Current measurement KW - Training KW - Heating systems Y1 - 2020 UR - https://doi.org/10.1109/EuroSimE48426.2020.9152657 SN - 978-1-7281-6049-8 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Pandey, Amit A1 - Kühn, Stephan A1 - Erdogan, Hüseyin A1 - Schneider, Klaus A1 - Elger, Gordon T1 - Finite Element Analysis: A Tool for Investigation of Sharpness Changes in Automotive Cameras T2 - 2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) UR - https://doi.org/10.1109/EuroSimE48426.2020.9152716 KW - Solid modeling KW - Creep KW - Load modeling KW - Lenses KW - Optical imaging KW - Optical sensors KW - Cameras Y1 - 2020 UR - https://doi.org/10.1109/EuroSimE48426.2020.9152716 SN - 978-1-7281-6049-8 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Liu, E A1 - Schmid, Maximilian A1 - Bhogaraju, Sri Krishna A1 - Elger, Gordon T1 - Advanced location resolved transient thermal analysis T2 - 2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC) UR - https://doi.org/10.1109/THERMINIC49743.2020.9420538 KW - Temperature measurement KW - Semiconductor device measurement KW - Thermal resistance KW - Thermal conductivity KW - Dielectric measurement KW - Thermal analysis KW - Dielectrics Y1 - 2021 UR - https://doi.org/10.1109/THERMINIC49743.2020.9420538 SN - 978-1-7281-7643-7 SP - 191 EP - 196 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schmid, Maximilian A1 - Bhogaraju, Sri Krishna A1 - Riedel, Andreas A1 - Elger, Gordon T1 - Development of an in-line capable transient thermal analysis equipment for a power module with five half bridges T2 - 2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC) UR - https://doi.org/10.1109/THERMINIC49743.2020.9420493 KW - MOSFET KW - Power measurement KW - Pulse measurements KW - Current measurement KW - Multichip modules KW - Time measurement KW - Thermal analysis Y1 - 2021 UR - https://doi.org/10.1109/THERMINIC49743.2020.9420493 SN - 978-1-7281-7643-7 SP - 268 EP - 273 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Conti, Fosca A1 - Liu, E A1 - Bhogaraju, Sri Krishna A1 - Lenz, Christoph A1 - Seitz, Roland A1 - Elger, Gordon T1 - Stress evaluations of silicon nitride chips bonded onto copper substrates via SAC soldering, AuSn soldering, and copper sintering T2 - 2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC) UR - https://doi.org/10.1109/THERMINIC49743.2020.9420523 KW - Creep KW - Thermomechanical processes KW - Silicon nitride KW - Copper KW - Plastics KW - Microstructure KW - Soldering Y1 - 2021 UR - https://doi.org/10.1109/THERMINIC49743.2020.9420523 SN - 978-1-7281-7643-7 SP - 204 EP - 208 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Keim, Simon A1 - Tetzlaff, Ulrich A1 - Elger, Gordon T1 - The influence of different-sized Ni micro- and nanopowders on the processing and microstructural properties of Sn-Ag-Cu-solder with low Ag content T2 - Proceedings: IEEE 70th Electronic Components and Technology Conference, ECTC 2020 UR - https://doi.org/10.1109/ECTC32862.2020.00312 KW - Composites KW - Soldering KW - Porosity KW - Microstructure KW - Intermetallics KW - Phase interfaces Y1 - 2020 UR - https://doi.org/10.1109/ECTC32862.2020.00312 SN - 978-1-7281-6180-8 SN - 2377-5726 SP - 2005 EP - 2012 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bhogaraju, Sri Krishna A1 - Conti, Fosca A1 - Elger, Gordon T1 - Copper die bonding using copper formate based pastes with α-terpineol, amino-2-propanol and hexylamine as binders T2 - 2020 IEEE 8th Electronics System-Integration Technology Conference (ESTC) UR - https://doi.org/10.1109/ESTC48849.2020.9229801 KW - copper inks KW - sintering KW - low temperature KW - copper nano particles KW - copper formate KW - binder KW - terpineol KW - hexylamine KW - amino-2-propanol Y1 - 2020 UR - https://doi.org/10.1109/ESTC48849.2020.9229801 SN - 978-1-7281-6293-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Conti, Fosca A1 - Liu, E A1 - Bhogaraju, Sri Krishna A1 - Wunderle, Bernhard A1 - Elger, Gordon T1 - Finite Element simulations and Raman measurements to investigate thermomechanical stress in GaN-LEDs T2 - 2020 IEEE 8th Electronics System-Integration Technology Conference (ESTC) UR - https://doi.org/10.1109/ESTC48849.2020.9229843 KW - finite element method KW - gallium nitride (GaN) KW - LED KW - Raman spectroscopy KW - semiconductor KW - thermomechanical stress Y1 - 2020 UR - https://doi.org/10.1109/ESTC48849.2020.9229843 SN - 978-1-7281-6293-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kühn, Stephan A1 - Pandey, Amit A1 - Zippelius, Andreas A1 - Schneider, Klaus A1 - Erdogan, Hüseyin A1 - Elger, Gordon T1 - Analysis of package design of optic modules for automotive cameras to realize reliable image sharpness T2 - 2020 IEEE 8th Electronics System-Integration Technology Conference (ESTC) UR - https://doi.org/10.1109/ESTC48849.2020.9229786 KW - Condition Monitoring KW - Health Indicator KW - Change in Sharpness KW - Through Focus Y1 - 2020 UR - https://doi.org/10.1109/ESTC48849.2020.9229786 SN - 978-1-7281-6293-5 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Hanzl, Christian A1 - Hartmann, Christoph A1 - Hölzle, Markus A1 - Liebhart, Bernhard A1 - Schmid, Michael A1 - Endisch, Christian T1 - Current commutation in a switched lithium-ion cell used in cascaded half-bridge multilevel inverters JF - IET Power Electronics N2 - In order to improve the efficiency of battery electric vehicles, the utilization of reconfigurable batteries and multilevel inverters based on low-voltage Si MOSFETs gains growing attention. Focusing on the half-bridge as basic switching unit, this paper examines voltage and current waveforms during switching. It is shown that the current commutation speed depends on various factors such as sign and amplitude of the current as well as the particular switching scenario. For instance, turning off a positive cell current takes 0.21 𝜇s while turning it on takes 0.9 𝜇s. In addition, it is revealed that depending on the switching scenario and current direction, the lithium-ion cell supports or opposes the remagnetization of the parasitic inductances and therefore the switching losses of the MOSFETs. Switching a positive load current of 125 A from active to bypass converts 276 𝜇J into heat while switching from bypass to active converts merely 32.5 𝜇J into heat. UR - https://doi.org/10.1049/pel2.12088 Y1 - 2021 UR - https://doi.org/10.1049/pel2.12088 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13364 SN - 1755-4543 VL - 14 IS - 6 SP - 1073 EP - 1088 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Schmid, Michael A1 - Gebauer, Emanuel A1 - Hanzl, Christian A1 - Endisch, Christian T1 - Active model-based fault diagnosis in reconfigurable battery systems JF - IEEE Transactions on Power Electronics UR - https://doi.org/10.1109/TPEL.2020.3012964 KW - active fault isolation KW - active hypothesis testing KW - constrained parameter estimation KW - fault tolerance KW - fuzzy clustering KW - reconfigurable battery system (RBS) Y1 - 2020 UR - https://doi.org/10.1109/TPEL.2020.3012964 SN - 1941-0107 SN - 0885-8993 VL - 36 IS - 3 SP - 2584 EP - 2597 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Schmid, Michael A1 - Kneidinger, Hans-Georg A1 - Endisch, Christian T1 - Data-driven fault diagnosis in battery systems through cross-cell monitoring JF - IEEE Sensors Journal UR - https://doi.org/10.1109/JSEN.2020.3017812 KW - Battery systems KW - data-driven fault diagnosis KW - fault isolation KW - recursive principal component analysis KW - signal processing Y1 - 2020 UR - https://doi.org/10.1109/JSEN.2020.3017812 SN - 1558-1748 SN - 1530-437X SN - 2379-9153 VL - 21 IS - 2 SP - 1829 EP - 1837 PB - IEEE CY - New York ER - TY - JOUR A1 - Riener, Andreas A1 - Jeon, Myounghoon T1 - Guest editors’ introduction: multimodal technologies and interaction in the era of automated driving JF - Multimodal Technologies and Interaction UR - https://doi.org/10.3390/mti3020041 Y1 - 2019 UR - https://doi.org/10.3390/mti3020041 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13339 SN - 2414-4088 VL - 3 IS - 2 PB - MDPI CY - Basel ER - TY - CHAP A1 - Kleiner, Jan A1 - Heider, Alexander A1 - Hanzl, Christian A1 - Komsiyska, Lidiya A1 - Elger, Gordon A1 - Endisch, Christian T1 - Thermal behavior of an intelligent li-ion cell under vehicle conditions T2 - Proceedings: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society UR - https://doi.org/10.1109/IECON43393.2020.9254336 KW - Li-ion KW - electro-thermal model KW - intelligent battery KW - reconfigurable system KW - smart cell Y1 - 2020 UR - https://doi.org/10.1109/IECON43393.2020.9254336 SN - 978-1-7281-5414-5 SN - 2577-1647 SP - 2081 EP - 2086 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Sequeira, Gerald Joy A1 - Brandmeier, Thomas T1 - Evaluation and characterization of crash-pulses for head-on collisions with varying overlap crash scenarios JF - Transportation Research Procedia N2 - Activation time for activating the occupant restraint systems (airbag and seatbelt) is very critical for an optimal safety action. A crash-pulse is the deceleration of the vehicle measured during in a crash. The shape, slope, maximum deceleration and duration of the crash-pulse provides significant information over the nature of occupant motions during in-crash phase and hence the crash severity. The above parameters of the crash-pulse not only depend on the mass and impact velocity but also on the crash configuration (position of impact, overlap, relative approach angle etc.). This study focuses on analysis and characterization of crash-pulses in head-on collision cases with varying overlap configurations. The paper describes causes for occupant injuries during a crash, crash-pulse and its important physical parameters, and different methodologies used to analyse the crash-pulse. Finite element simulation method is used to study the crash-pulses from different crash configurations. A new severity index that has direct influence on the occupant kinematics is defined. The results show that the steep decrease of crash-pulse for small overlap configurations (less than 25 percent of vehicle width) lags by 20 to 25 milliseconds as compared to configurations with large overlaps. The shape of the crash-pulse also changes for crash scenarios with different overlap configurations. The results, discussion and conclusion sections of this paper provide a summary of crash behaviour of varying overlap crash scenarios and insights that can be used for deployment of restraint systems. UR - https://doi.org/10.1016/j.trpro.2020.08.156 KW - Crash severity KW - Head-on collision KW - Frontal crash KW - Crash-pulse characterization Y1 - 2020 UR - https://doi.org/10.1016/j.trpro.2020.08.156 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13319 SN - 2352-1465 VL - 2020 IS - 48 SP - 1306 EP - 1315 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schmied, Sebastian A1 - Mathias, Selvine George A1 - Großmann, Daniel A1 - Jumar, Ulrich T1 - Integration of existing cyber-physical manufacturing systems into a common information model JF - IFAC-PapersOnLine N2 - In order to be able to serve constantly new customer requirements, manufacturing systems must be able to adapt to frequent changes. In addition, repeatedly objects are removed or added to the network. To control and monitor such a constantly changing system a mapping of existing manufacturing systems into a common information model is necessary. This model describes information that is produced and stored in different entities of the complete system. To create a common address space and expose the relations between the devices an aggregation of every element in the system is needed. This paper describes a methodology for the creation of an information model for a complete manufacturing environment, followed by an approach for the aggregation of the singular system entities. The concept of this paper is illustrated with a demonstrator. The results of this approach have been discussed in the following sections along with the proposal for further directions. UR - https://doi.org/10.1016/j.ifacol.2020.12.2827 KW - Information Model KW - Aggregation KW - OPC UA KW - Cyber-physical manufacturing systems Y1 - 2021 UR - https://doi.org/10.1016/j.ifacol.2020.12.2827 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13309 SN - 2405-8963 VL - 53 IS - 2 SP - 10905 EP - 10910 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schmid, Maximilian A1 - Bhogaraju, Sri Krishna A1 - Elger, Gordon T1 - Characterization of copper sintered interconnects by transient thermal analysis T2 - 2021 International Conference on Electronics Packaging (ICEP 2021) UR - https://doi.org/10.23919/ICEP51988.2021.9451966 KW - copper sintering KW - transient thermal analysis (TTA) KW - thermal impedance (Zth) KW - non-destructive testing (NDT) KW - scanning acoustic microscopy (SAM) Y1 - 2021 UR - https://doi.org/10.23919/ICEP51988.2021.9451966 SN - 978-4-9911-9111-4 SP - 71 EP - 72 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bhogaraju, Sri Krishna A1 - Schmid, Maximilian A1 - Hufnagel, Elias A1 - Conti, Fosca A1 - Kotadia, Hiren R. A1 - Elger, Gordon T1 - Low temperature and low pressure die-attach bonding of high power light emitting diodes with self reducing copper complex paste T2 - IEEE 71st Electronic Components and Technology Conference ECTC 2021, Proceedings UR - https://doi.org/10.1109/ECTC32696.2021.00094 KW - low temperature sintering KW - rapid sintering KW - Cu(II) formate KW - reducing binder KW - low pressure sintering KW - high bond strength Y1 - 2021 UR - https://doi.org/10.1109/ECTC32696.2021.00094 SN - 978-1-6654-4097-4 SP - 526 EP - 531 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Pascucci, Jacopo A1 - Conti, Fosca A1 - Bhogaraju, Sri Krishna A1 - Signorini, Raffaella A1 - Liu, E A1 - Pedron, Danilo A1 - Elger, Gordon ED - Cheben, Pavel ED - Čtyroký, Jiří ED - Molina-Fernández, Iñigo T1 - Micro-Raman to detect stress phenomena in Si-chips bonded onto Cu substrates T2 - Integrated Optics: Design, Devices, Systems and Applications VI UR - https://doi.org/10.1117/12.2576414 Y1 - 2021 UR - https://doi.org/10.1117/12.2576414 SN - 978-1-5106-4385-7 N1 - Poster + Paper PB - SPIE CY - Bellingham ER - TY - CHAP A1 - Conti, Fosca A1 - Lux, Kerstin A1 - Bhogaraju, Sri Krishna A1 - Liu, E A1 - Lenz, Christoph A1 - Seitz, Roland A1 - Elger, Gordon ED - Baldini, Francesco ED - Homola, Jiri ED - Lieberman, Robert A. T1 - Raman spectroscopy to investigate gallium nitride light emitting diodes after assembling onto copper substrates T2 - Optical Sensors 2021 UR - https://doi.org/10.1117/12.2591947 Y1 - 2021 UR - https://doi.org/10.1117/12.2591947 SN - 978-1-5106-4379-6 N1 - Poster + Paper PB - SPIE CY - Bellingham ER - TY - CHAP A1 - Tavakolibasti, M. A1 - Meszmer, P. A1 - Böttger, Gunnar A1 - Kettelgerdes, Marcel A1 - Elger, Gordon A1 - Erdogan, Hüseyin A1 - Seshaditya, A. A1 - Wunderle, Bernhard T1 - Thermo-mechanical-optical coupling within a digital twin development for automotive LiDAR T2 - 2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) UR - https://doi.org/10.1109/EuroSimE52062.2021.9410831 KW - Couplings KW - Laser radar KW - Digital twin KW - Thermomechanical processes KW - Adaptive optics KW - Optical coupling KW - Real-time systems Y1 - 2021 UR - https://doi.org/10.1109/EuroSimE52062.2021.9410831 SN - 978-1-6654-1373-2 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Liu, E A1 - Conti, Fosca A1 - Bhogaraju, Sri Krishna A1 - Elger, Gordon T1 - Simulations and experiments to analyze stress phenomena in soldered and sintered interconnections between silicon nitride chips and copper substrates T2 - 2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) UR - https://doi.org/10.1109/EuroSimE52062.2021.9410869 KW - Performance evaluation KW - Analytical models KW - Compressive stress KW - Thermomechanical processes KW - Data models KW - Microelectronics KW - Finite element analysis Y1 - 2021 UR - https://doi.org/10.1109/EuroSimE52062.2021.9410869 SN - 978-1-6654-1373-2 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Agrawal, Shiva A1 - Elger, Gordon T1 - Concept of infrastructure based environment perception for IN2Lab test field for automated driving T2 - 2021 IEEE International Smart Cities Conference (ISC2) UR - https://doi.org/10.1109/ISC253183.2021.9562894 KW - RSU KW - Radar KW - Lidar KW - Camera KW - Intelligent Infrastructure KW - Autonomous Driving KW - Sensor fusion Y1 - 2021 UR - https://doi.org/10.1109/ISC253183.2021.9562894 SN - 978-1-6654-4919-9 SN - 2687-8860 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Weigl, Klemens A1 - Ponocny, Ivo T1 - Group sequential designs applied in psychological research JF - Methodology: European Journal of Research Methods for the Behavioral and Social Sciences N2 - Psychological research is confronted with ever-increasing demands to save resources such as time and money while assuring high ethical standards. In medical and pharmaceutical research, group sequential designs have fundamentally changed traditional statistical testing approaches featuring only one analysis at the end of a single-stage study. They enable early stopping at an interim stage, after a group of observations, for efficacy or futility in case of an overwhelmingly large or small effect, respectively. Otherwise, the trial is continued to the next stage. On average over many studies time and money are saved and more ethical trials are facilitated by diminishing the risk of patients' exposure to inferior treatments. We provide an easy-to-use tutorial for psychological research replete with easily understandable figures highlighting the core idea of different group sequential designs, a workflow chart, an empirical real-world data set, and the annotated R code. Finally, we demonstrate the application of early stopping for efficacy. UR - https://doi.org/10.5964/meth.2811 KW - group sequential designs KW - interim analyses KW - workflow chart KW - R Code KW - tutorial Y1 - 2020 UR - https://doi.org/10.5964/meth.2811 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13190 SN - 1614-2241 VL - 16 IS - 1 SP - 75 EP - 91 PB - PsychOpen CY - Trier ER - TY - JOUR A1 - Sequeira, Gerald Joy A1 - Patel, Akshay A1 - Afraj, Shahabaz A1 - Lugner, Robert A1 - Brandmeier, Thomas T1 - FEM-based methodology for crash severity estimation in frontal crash scenarios JF - IOP Conference Series: Materials Science and Engineering N2 - With the technological development of forward-looking sensors, researchers are exploring their use not only for advanced driver assistance systems but also to gain important pre-crash information. Based on this pre-crash information, if the occupant motion inside the vehicle structure can be predicted for the oncoming crash scenario, then an optimal restraint strategy can be planned before the crash. This paper introduces a two-step FEM simulation based methodology for predicting the occupant severity in head-on crash scenarios. In the first step, we simulate the vehicle level model with different impact positions and relative approach angles. The results of these simulations, linear velocities in the longitudinal and lateral direction and angular velocities (roll, pitch, and yaw) during in-crash phase are the loading conditions for next simulation step (occupant level). This step simulates the motion of the driver in different crash scenarios. In this paper, we investigate the head, neck, and chest injury risks from vehicle-to-vehicle crash both traveling at 50 kilometers per hour. Prediction of the head injury criterion, identifying the cases where additional deployment of side-airbags and discussion of injury criteria with contour plots are the main outcome of this paper. UR - https://doi.org/10.1088/1757-899X/831/1/012019 Y1 - 2020 UR - https://doi.org/10.1088/1757-899X/831/1/012019 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13159 SN - 1757-899X SN - 1757-8981 VL - 2020 IS - 831 PB - IOP CY - Bristol ER - TY - CHAP A1 - Weber, Tobias A1 - Ercelik, Emec A1 - Ebert, Martin A1 - Knoll, Alois T1 - Recognition & evaluation of additional traffic signs on the example of ’80 km/h when wet’ T2 - The 2019 IEEE Intelligent Transportation Systems Conference - ITSC UR - https://doi.org/10.1109/ITSC.2019.8916950 KW - Roads KW - Task analysis KW - Layout KW - Training KW - Accidents KW - Automobiles Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8916950 SN - 978-1-5386-7024-8 SP - 4134 EP - 4139 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Ebert, Martin A1 - Hauptmann, Christian A1 - Tass, Peter Alexander T1 - Coordinated reset stimulation in a large-scale model of the STN-GPe circuit JF - Frontiers in Computational Neuroscience N2 - Synchronization of populations of neurons is a hallmark of several brain diseases. Coordinated reset (CR) stimulation is a model-based stimulation technique which specifically counteracts abnormal synchrony by desynchronization. Electrical CR stimulation, e.g., for the treatment of Parkinson's disease (PD), is administered via depth electrodes. In order to get a deeper understanding of this technique, we extended the top-down approach of previous studies and constructed a large-scale computational model of the respective brain areas. Furthermore, we took into account the spatial anatomical properties of the simulated brain structures and incorporated a detailed numerical representation of 2 · 104 simulated neurons. We simulated the subthalamic nucleus (STN) and the globus pallidus externus (GPe). Connections within the STN were governed by spike-timing dependent plasticity (STDP). In this way, we modeled the physiological and pathological activity of the considered brain structures. In particular, we investigated how plasticity could be exploited and how the model could be shifted from strongly synchronized (pathological) activity to strongly desynchronized (healthy) activity of the neuronal populations via CR stimulation of the STN neurons. Furthermore, we investigated the impact of specific stimulation parameters especially the electrode position on the stimulation outcome. Our model provides a step forward toward a biophysically realistic model of the brain areas relevant to the emergence of pathological neuronal activity in PD. Furthermore, our model constitutes a test bench for the optimization of both stimulation parameters and novel electrode geometries for efficient CR stimulation. UR - https://doi.org/10.3389/fncom.2014.00154 KW - deep brain stimulation KW - high-performance computing KW - coordinated reset stimulation KW - electrode design Y1 - 2014 UR - https://doi.org/10.3389/fncom.2014.00154 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13027 SN - 1662-5188 VL - 8 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Geisbauer, Christian A1 - Wöhrl, Katharina A1 - Lott, Susanne A1 - Nebl, Christoph A1 - Schweiger, Hans-Georg A1 - Goertz, Roland A1 - Kubjatko, Tibor T1 - Scenarios involving accident-damaged electric vehicles JF - Transportation Research Procedia N2 - Electrically propelled cars will play a major role on the streets, not only in the far, but also in the near future. In this work, an overview on the possible risks arising from electric vehicles is given that involves electrical, chemical and thermal hazards. Additionally, an analysis on different scenarios involving damaged electric vehicles, the involved parties, as well as their risk assessment in terms of hazard rating is presented. Furthermore, two scenarios are explained and addressed with more detail. With the derived risks of the battery and with possible crash scenarios presented, the still existing uncertainties for handling damaged electric vehicles are addressed, followed by a discussion on ways to overcome this problem. UR - https://doi.org/10.1016/j.trpro.2021.07.136 KW - electromobility KW - batteries KW - lithium ion KW - electric vehicle KW - accident KW - rescue service KW - recycling Y1 - 2021 UR - https://doi.org/10.1016/j.trpro.2021.07.136 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13130 SN - 2352-1465 VL - 2021 IS - 55 SP - 1484 EP - 1489 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schulze, Ralf A1 - Szentmiklósi, László A1 - Kudejova, Petra A1 - Canella, Lea A1 - Kis, Zoltán A1 - Belgya, Tamás A1 - Jolie, Jan A1 - Ebert, Martin A1 - Materna, Thomas A1 - Biró, Katalin T. A1 - Hajnal, Zsuzsa T1 - The ANCIENT CHARM project at FRM II BT - three-dimensional elemental mapping by prompt gamma activation imaging and neutron tomography JF - Journal of Analytical Atomic Spectrometry UR - https://doi.org/10.1039/C3JA50162K Y1 - 2013 UR - https://doi.org/10.1039/C3JA50162K SN - 1364-5544 VL - 28 IS - 9 SP - 1508 EP - 1512 PB - ChemSoc CY - Cambridge ER - TY - JOUR A1 - Hofmann, Lorenz A1 - Ebert, Martin A1 - Hauptmann, Peter Alexander A1 - Hauptmann, Christian T1 - Modified pulse shapes for effective neural stimulation JF - Frontiers in Neuroengineering N2 - The electrical stimulation of neuronal structures is used as a treatment for many neurological disorders, e.g., for the treatment of Parkinson’s disease via deep brain stimulation (DBS). To reduce side effects, to avoid tissue or electrode damage, and to increase battery lifetimes, an effective but gentle electrical stimulation is of prime importance. We studied different modified pulse shapes for application in DBS with respect to their efficiency to initiate neuronal activity. Numerical simulations of two mathematical neuron models were performed to investigate the effectiveness of different modified pulse shapes. According to our results, the pulse shapes considered showed a considerably increased efficiency in terms of both activation and entrainment of neural activity. We found that the introduction of a gap with a specific and optimized duration in a biphasic pulse and the reversal of the standard pulse phase order yielded stimulation protocols that could increase the efficiency and therefore reduce the energy consumption of stimulation. The improvements were achieved by simple modifications of existing stimulation techniques. The modification of the pulse shapes resulted in an improvement of up to 50% for both the activation of resting neurons and the entrainment of bursting neurons. UR - https://doi.org/10.3389/fneng.2011.00009 KW - computational neuroscience KW - deep brain stimulation KW - entrainment KW - pulsatile stimulation Y1 - 2011 UR - https://doi.org/10.3389/fneng.2011.00009 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13005 VL - 4 PB - Frontiers Research Foundation CY - Lausanne ER - TY - CHAP A1 - Schmid, Kyrill A1 - Müller, Robert A1 - Belzner, Lenz A1 - Tochtermann, Johannes A1 - Linnhoff-Popien, Claudia T1 - Distributed emergent agreements with deep reinforcement learning T2 - 2021 International Joint Conference on Neural Networks (IJCNN) Proceedings UR - https://doi.org/10.1109/IJCNN52387.2021.9533333 KW - Waste materials KW - Neural networks KW - Buildings KW - Reinforcement learning KW - Production facilities KW - Robustness KW - Autonomous agents Y1 - 2021 UR - https://doi.org/10.1109/IJCNN52387.2021.9533333 SN - 978-1-6654-3900-8 SN - 2161-4407 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Vogt, Anna A1 - Schmidt, Philipp Heiner A1 - Mayer, Sebastian A1 - Stark, Rainer T1 - Production in the loop: the interoperability of digital twins of the product and the production system JF - Procedia CIRP N2 - The Internet of Things (IoT) era facilitates new possibilities at the interface between the lifecycle of the product and the manufacturing disciplines allowing to add value and meet growing legal requirements. This work presents use cases from the automobile industry which are analyzed in order to derive requirements for data exchange. The analysis of the use cases shows clearly that we need to focus on the instance level for this purpose. This means that both, a specific unit of the product and the production system, must be considered. As a solution approach, a communication loop is proposed bringing the Digital Twin concept in a new field of usage. The key aspect of the proposed solution is the direct intercommunication between the Digital Twins of the product being produced as a Cyber-Physical System (CPS) and the production resources as Cyber-Physical Production Systems (CPPS). This solution enables the aggregation of production-related data within the products Digital Twin and therefore promotes maximal transparency throughout engineering disciplines, phases of the product lifecycle and the whole supply chain. UR - https://doi.org/10.1016/j.procir.2021.03.077 KW - digital twin KW - digital shadow KW - digital twin lifecycle KW - cyber-physical system KW - intelligent production systems KW - smart production Y1 - 2021 UR - https://doi.org/10.1016/j.procir.2021.03.077 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13120 SN - 2212-8271 VL - 2021 IS - 99 SP - 561 EP - 566 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schmid, Kyrill A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - Learning to penalize other learning agents T2 - Proceedings of the Artificial Life Conference 2021 UR - https://doi.org/10.1162/isal_a_00369 Y1 - 2021 UR - https://doi.org/10.1162/isal_a_00369 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-12966 VL - 2021 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Ritz, Fabian A1 - Ratke, Daniel A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - A sustainable ecosystem through emergent cooperation in multi-agent reinforcement learning T2 - Proceedings of the Artificial Life Conference 2021 UR - https://doi.org/10.1162/isal_a_00399 Y1 - 2021 UR - https://doi.org/10.1162/isal_a_00399 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-12975 VL - 2021 PB - MIT Press CY - Cambridge ER - TY - JOUR A1 - Mathias, Selvine George A1 - Großmann, Daniel A1 - Bhanja, Tapanta T1 - Exploring distance based approaches for reducing sensor data in defect related prognosis JF - Procedia Computer Science N2 - Vibration data consists of batches of time series which if accumulated over a period of time is a huge collection of numeric data. Reducing such data for use in deep learning models for computational effciency is a challenge. Combinatorial and discrete approaches, on the other hand, is not an extensively explored area when it comes to datasets. This paper aims to identify feature reduction techniques based on discrete approaches such as euclidean distance using dot products on vibration data samples from accelerometers fitted on bearings. In this limited experimentation, the procured dataset by this approach is considerably smaller in size as compared to the actual complete data, and with comparable results in prediction models, it can be used as a smaller representation of a sensor timeline. The results based on different models show that such reductions can be considered in building IoT applications in industries based on sensors. UR - https://doi.org/10.1016/j.procs.2021.03.076 KW - sensors KW - data KW - reduced distance KW - machine learning KW - accuracy scores Y1 - 2021 UR - https://doi.org/10.1016/j.procs.2021.03.076 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13111 SN - 1877-0509 VL - 2021 IS - 184 SP - 614 EP - 621 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Handwerker, Michael A1 - Kessler, Jörg A1 - Marzbani, Hormoz T1 - Review of mechanical properties of and optimisation methods for continuous fibre‑reinforced thermoplastic parts manufactured by fused deposition modelling JF - Progress in Additive Manufacturing N2 - A new way of manufacturing continuous fibre-reinforced plastics is the embedding of fibres in the filament of a 3D printer. This method could be used in manufacturing composite materials with a thermoplastic matrix containing glass, Kevlar and carbon fibres. This paper provides an overview of research on the mechanical and physical properties of these parts as well as optimisation approaches of additively manufactured thermoplastics. Furthermore, applicable testing and analysis methods and their corresponding standards are included. Several studies, which represent the current state of the art, are reviewed in detail for the analysis of the mechanical performance of different fibre reinforcements. In addition, an overview of different optimisation approaches is given. The ultimate tensile strength of Kevlar and glass fibre-reinforced parts are similar to those of common Aluminium alloys whereas the carbon fibre reinforced parts outperform their aluminium counterparts. Major performance limitations include a poor adhesion between layers as well as a high air void ratio. UR - https://doi.org/10.1007/s40964-021-00187-1 KW - fused filament fabrication KW - fused deposition modelling KW - continuous fibre KW - thermoplastics Y1 - 2021 UR - https://doi.org/10.1007/s40964-021-00187-1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13103 SN - 2363-9520 VL - 6 IS - 4 SP - 663 EP - 677 PB - Springer Nature CY - Cham ER - TY - JOUR A1 - Mayer, Sebastian A1 - Classen, Tobias A1 - Endisch, Christian T1 - Modular production control using deep reinforcement learning: proximal policy optimization JF - Journal of Intelligent Manufacturing N2 - EU regulations on CO2 limits and the trend of individualization are pushing the automotive industry towards greater flexibility and robustness in production. One approach to address these challenges is modular production, where workstations are decoupled by automated guided vehicles, requiring new control concepts. Modular production control aims at throughput-optimal coordination of products, workstations, and vehicles. For this np-hard problem, conventional control approaches lack in computing efficiency, do not find optimal solutions, or are not generalizable. In contrast, Deep Reinforcement Learning offers powerful and generalizable algorithms, able to deal with varying environments and high complexity. One of these algorithms is Proximal Policy Optimization, which is used in this article to address modular production control. Experiments in several modular production control settings demonstrate stable, reliable, optimal, and generalizable learning behavior. The agent successfully adapts its strategies with respect to the given problem configuration. We explain how to get to this learning behavior, especially focusing on the agent’s action, state, and reward design. UR - https://doi.org/10.1007/s10845-021-01778-z KW - modular production KW - production control KW - production scheduling KW - deep reinforcement learning KW - proximal policy optimization KW - automotive industry Y1 - 2021 UR - https://doi.org/10.1007/s10845-021-01778-z UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13092 SN - 1572-8145 VL - 32 IS - 8 SP - 2335 EP - 2351 PB - Springer Nature CY - Cham ER - TY - JOUR A1 - Theiler, Michael A1 - Endisch, Christian A1 - Lewerenz, Meinert T1 - Float Current Analysis for Fast Calendar Aging Assessment of 18650 Li(NiCoAl)O2/Graphite Cells JF - Batteries N2 - Float currents are steady-state self-discharge currents after a transient phase—caused by anode overhang, polarization, etc.—is accomplished. The float current is measured in this study with a standard test bench for five 18650 cells (Samsung 25R) at potentiostatic conditions while the temperature is changed in 5 K steps from 5 °C to 60 °C. The entire test is performed in about 100 days resulting in 12 measurement points per cell potential for an Arrhenius representation. The float current follows the Arrhenius law with an activation energy of about 60 kJ/mol. The capacity loss measured at reference condition shows a high correlation to the results of float currents analysis. In contrast to classical calendar aging tests, the performed float current analysis enables determining the aging rate with high precision down to at least 10 °C. Returning from higher temperatures to 30 °C reference temperature shows reducing float currents at 30 °C for increasing temperature steps that may originate from an hysteresis effect that has to be investigated in future publications. UR - https://doi.org/10.3390/batteries7020022 KW - 18650 KW - NCA KW - graphite KW - float current KW - self-discharge KW - calendar aging KW - Arrhenius Y1 - 2021 UR - https://doi.org/10.3390/batteries7020022 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13081 SN - 2313-0105 VL - 7 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - von Sawitzky, Tamara A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - “Attention! A Door Could Open.”—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards JF - Multimodal Technologies and Interaction N2 - Numerous statistics show that cyclists are often involved in road traffic accidents, often with serious outcomes. One potential hazard of cycling, especially in cities, is “dooring”—passing parked vehicles that still have occupants inside. These occupants could open the vehicle door unexpectedly in the cyclist’s path—requiring a quick evasive response by the cyclist to avoid a collision. Dooring can be very poorly anticipated; as a possible solution, we propose in this work a system that notifies the cyclist of opening doors based on a networked intelligent transportation infrastructure. In a user study with a bicycle simulator (N = 24), we examined the effects of three user interface designs compared to a baseline (no notifications) on cycling behavior (speed and lateral position), perceived safety, and ease of use. Awareness messages (either visual message, visual message + auditory icon, or visual + voice message) were displayed on a smart bicycle helmet at different times before passing a parked, still-occupied vehicle. Our participants found the notifications of potential hazards very easy to understand and appealing and felt that the alerts could help them navigate traffic more safely. Those concepts that (additionally) used auditory icons or voice messages were preferred. In addition, the lateral distance increased significantly when a potentially opening door was indicated. In these situations, cyclists were able to safely pass the parked vehicle without braking. In summary, we are convinced that notification systems, such as the one presented here, are an important component for increasing road safety, especially for vulnerable road users. UR - https://doi.org/10.3390/mti6010003 KW - accident prevention KW - awareness message KW - connected traffic KW - cycling KW - head-mounted display KW - lateral position KW - simulation KW - vulnerable road users Y1 - 2021 UR - https://doi.org/10.3390/mti6010003 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13079 SN - 2414-4088 VL - 6 IS - 1 PB - MDPI CY - Basel ER - TY - CHAP A1 - Unold, Florian von A1 - Wintergerst, Monika A1 - Belzner, Lenz A1 - Groh, Georg T1 - DYME: a dynamic metric for dialog modeling learned from human conversations T2 - Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V UR - https://doi.org/10.1007/978-3-030-92307-5_30 KW - Dialog modeling KW - Conversational metrics KW - Dialog systems KW - Natural language processing Y1 - 2021 UR - https://doi.org/10.1007/978-3-030-92307-5_30 SN - 978-3-030-92307-5 SP - 257 EP - 264 PB - Springer CY - Cham ER - TY - JOUR A1 - Kleiner, Jan A1 - Stuckenberger, Magdalena A1 - Komsiyska, Lidiya A1 - Endisch, Christian T1 - Advanced monitoring and prediction of the thermal state of intelligent battery cells in electric vehicles by physics-based and data-driven modeling JF - Batteries N2 - Novel intelligent battery systems are gaining importance with functional hardware on the cell level. Cell-level hardware allows for advanced battery state monitoring and thermal management, but also leads to additional thermal interactions. In this work, an electro-thermal framework for the modeling of these novel intelligent battery cells is provided. Thereby, a lumped thermal model, as well as a novel neural network, are implemented in the framework as thermal submodels. For the first time, a direct comparison of a physics-based and a data-driven thermal battery model is performed in the same framework. The models are compared in terms of temperature estimation with regard to accuracy. Both models are very well suited to represent the thermal behavior in novel intelligent battery cells. In terms of accuracy and computation time, however, the data-driven neural network approach with a Nonlinear AutoregRessive network with eXogeneous input (NARX) shows slight advantages. Finally, novel applications of temperature prediction in battery electric vehicles are presented and the applicability of the models is illustrated. Thereby, the conventional prediction of the state of power is extended by simultaneous temperature prediction. Additionally, temperature forecasting is used for pre-conditioning by advanced cooling system regulation to enable energy efficiency and fast charging. UR - https://doi.org/10.3390/batteries7020031 KW - lithium-ion battery KW - electro-thermal model KW - smart cell KW - intelligent battery KW - neural network KW - temperature prediction Y1 - 2021 UR - https://doi.org/10.3390/batteries7020031 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13068 SN - 2313-0105 VL - 7 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - Axenie, Cristian A1 - Bauer, Roman A1 - Rodríguez Martínez, María T1 - The Multiple Dimensions of Networks in Cancer: A Perspective JF - Symmetry N2 - This perspective article gathers the latest developments in mathematical and computational oncology tools that exploit network approaches for the mathematical modelling, analysis, and simulation of cancer development and therapy design. It instigates the community to explore new paths and synergies under the umbrella of the Special Issue “Networks in Cancer: From Symmetry Breaking to Targeted Therapy”. The focus of the perspective is to demonstrate how networks can model the physics, analyse the interactions, and predict the evolution of the multiple processes behind tumour-host encounters across multiple scales. From agent-based modelling and mechano-biology to machine learning and predictive modelling, the perspective motivates a methodology well suited to mathematical and computational oncology and suggests approaches that mark a viable path towards adoption in the clinic. UR - https://doi.org/10.3390/sym13091559 KW - mathematical and computational oncology KW - cancer KW - networks KW - mechano-biology KW - machine learning Y1 - 2021 UR - https://doi.org/10.3390/sym13091559 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13053 SN - 2073-8994 VL - 13 IS - 9 PB - MDPI CY - Basel ER - TY - CHAP A1 - Brunner, Pascal A1 - Denk, Florian A1 - Huber, Werner A1 - Kates, Ronald T1 - Virtual safety performance assessment for automated driving in complex urban traffic scenarios T2 - 2019 IEEE Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC.2019.8917517 Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8917517 SN - 978-1-5386-7024-8 SP - 679 EP - 685 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Denk, Florian A1 - Huber, Werner A1 - Brunner, Pascal A1 - Kates, Ronald T1 - The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294498 KW - accidents KW - vehicles KW - safety KW - roads KW - computational modeling KW - stochastic processes KW - information processing Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294498 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Brunner, Pascal A1 - Löcken, Andreas A1 - Denk, Florian A1 - Kates, Ronald A1 - Huber, Werner T1 - Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304835 KW - Safety KW - Accidents KW - Vehicle dynamics KW - Testing KW - Stability analysis KW - Motorcycles KW - Biological system modeling Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304835 SN - 978-1-7281-6673-5 SP - 219 EP - 225 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Huber, Stephan A1 - Haase, Axel A1 - Gleich, Bernhard T1 - Analysis of 2D NMR relaxation data using Chisholm approximations JF - Journal of Magnetic Resonance UR - https://doi.org/10.1016/j.jmr.2017.05.006 KW - Chisholm approximation KW - 2D NMR relaxation KW - Laplace inversion Y1 - 2017 UR - https://doi.org/10.1016/j.jmr.2017.05.006 SN - 1096-0856 VL - 2017 IS - 281 SP - 66 EP - 74 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Huber, Stephan A1 - Min, Changwook A1 - Staat, Christoph A1 - Oh, Juhyun A1 - Castro, Cesar A1 - Haase, Axel A1 - Weissleder, Ralph A1 - Gleich, Bernhard A1 - Lee, Hakho T1 - Multichannel digital heteronuclear magnetic resonance biosensor JF - Biosensors and Bioelectronics UR - https://doi.org/10.1016/j.bios.2018.10.052 KW - Magnetic sensor KW - Biosensor KW - Nuclear magnetic resonance Y1 - 2019 UR - https://doi.org/10.1016/j.bios.2018.10.052 SN - 1873-4235 VL - 2019 IS - 126 SP - 240 EP - 248 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Wenzel, Patrick A1 - Schön, Torsten A1 - Leal-Taixé, Laura A1 - Cremers, Daniel T1 - Vision-based mobile robotics obstacle avoidance with deep reinforcement learning T2 - 2021 IEEE International Conference on Robotics and Automation (ICRA) UR - https://doi.org/10.1109/ICRA48506.2021.9560787 Y1 - 2021 UR - https://doi.org/10.1109/ICRA48506.2021.9560787 SN - 978-1-7281-9077-8 SN - 2577-087X SP - 14360 EP - 14366 PB - IEEE CY - Piscataway ER - TY - BOOK ED - Schober, Walter T1 - "Die große Transformation" BT - Beitrag von Unternehmen und Wissenschaft zur Nachaltigen Entwicklung: Tagungsband zur Tagung am 08.11.2019 UR - https://cuvillier.de/de/shop/publications/8433-die-grosse-transformation Y1 - 2021 UR - https://cuvillier.de/de/shop/publications/8433-die-grosse-transformation UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-12751 SN - 978-3-7369-7318-3 SN - 978-3-7369-6318-4 PB - Cuvillier CY - Göttingen ER - TY - JOUR A1 - Mokhtari, Omid A1 - Conti, Fosca A1 - Bhogaraju, Sri Krishna A1 - Meier, Markus A1 - Schweigart, Helmut A1 - Tetzlaff, Ulrich A1 - Elger, Gordon T1 - Characterization of tin-oxides and tin-formate crystals obtained from SnAgCu solder alloy under formic acid vapor JF - New Journal of Chemistry UR - https://doi.org/10.1039/C9NJ02135C Y1 - 2019 UR - https://doi.org/10.1039/C9NJ02135C SN - 1369-9261 VL - 43 IS - 26 SP - 10227 EP - 10231 PB - RSC CY - London ER - TY - JOUR A1 - Bhogaraju, Sri Krishna A1 - Conti, Fosca A1 - Kotadia, Hiren R. A1 - Keim, Simon A1 - Tetzlaff, Ulrich A1 - Elger, Gordon T1 - Novel approach to copper sintering using surface enhanced brass micro flakes for microelectronics packaging JF - Journal of Alloys and Compounds UR - https://doi.org/10.1016/j.jallcom.2020.156043 KW - Metals and alloys KW - Microstructure KW - Surfaces and interfaces KW - Sintering Y1 - 2020 UR - https://doi.org/10.1016/j.jallcom.2020.156043 SN - 1873-4669 VL - 2020 IS - 844 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder T2 - 2021 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV48863.2021.9575730 Y1 - 2021 UR - https://doi.org/10.1109/IV48863.2021.9575730 SN - 978-1-7281-5394-0 SP - 1304 EP - 1311 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Klopfleisch, Robert A1 - Maier, Andreas T1 - SlideRunner BT - a tool for massive cell annotations in whole slide images T2 - Bildverarbeitung für die Medizin 2018: Algorithmen - Systeme - Anwendungen N2 - Large-scale image data such as digital whole-slide histology images pose a challenging task at annotation software solutions. Today, a number of good solutions with varying scopes exist. For cell annotation, however, we find that many do not match the prerequisites for fast annotations. Especially in the field of mitosis detection, it is assumed that detection accuracy could significantly benefit from larger annotation databases that are currently however very troublesome to produce. Further, multiple independent (blind) expert labels are a big asset for such databases, yet there is currently no tool for this kind of annotation available. To ease this tedious process of expert annotation and grading, we introduce SlideRunner, an open source annotation and visualization tool for digital histopathology, developed in close cooperation with two pathologists. SlideRunner is capable of setting annotations like object centers (for e.g. cells) as well as object boundaries (e.g. for tumor outlines). It provides single-click annotations as well as a blind mode for multi-annotations, where the expert is directly shown the microscopy image containing the cells that he has not yet rated. UR - https://doi.org/10.1007/978-3-662-56537-7_81 Y1 - 2018 UR - https://doi.org/10.1007/978-3-662-56537-7_81 SN - 978-3-662-56537-7 SP - 309 EP - 314 PB - Springer Vieweg CY - Berlin ER - TY - JOUR A1 - Aubreville, Marc A1 - Knipfer, Christian A1 - Oetter, Nicolai A1 - Jaremenko, Christian A1 - Rodner, Erik A1 - Denzler, Joachim A1 - Bohr, Christopher A1 - Neumann, Helmut A1 - Stelzle, Florian A1 - Maier, Andreas T1 - Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning JF - Scientific Reports N2 - Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening methods for early diagnosis of OSCC often lack accuracy and thus OSCCs are mostly diagnosed at a late stage. Early detection and accurate outline estimation of OSCCs would lead to a better curative outcome and a reduction in recurrence rates after surgical treatment. Confocal Laser Endomicroscopy (CLE) records sub-surface micro-anatomical images for in vivo cell structure analysis. Recent CLE studies showed great prospects for a reliable, real-time ultrastructural imaging of OSCC in situ. We present and evaluate a novel automatic approach for OSCC diagnosis using deep learning technologies on CLE images. The method is compared against textural feature-based machine learning approaches that represent the current state of the art. For this work, CLE image sequences (7894 images) from patients diagnosed with OSCC were obtained from 4 specific locations in the oral cavity, including the OSCC lesion. The present approach is found to outperform the state of the art in CLE image recognition with an area under the curve (AUC) of 0.96 and a mean accuracy of 88.3% (sensitivity 86.6%, specificity 90%). UR - https://doi.org/10.1038/s41598-017-12320-8 Y1 - 2017 UR - https://doi.org/10.1038/s41598-017-12320-8 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-12464 SN - 2045-2322 VL - 7 PB - Springer Nature CY - London ER - TY - CHAP A1 - Dietl, Guido A1 - Botsch, Michael A1 - Dietrich, F. A. A1 - Utschick, Wolfgang T1 - Robust and reduced-rank matrix Wiener filter based on the conjugate gradient algorithm T2 - 2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications UR - https://doi.org/10.1109/SPAWC.2005.1506201 Y1 - 2005 UR - https://doi.org/10.1109/SPAWC.2005.1506201 SN - 0-7803-8867-4 SP - 555 EP - 559 PB - IEEE CY - Piscataway ER -