--- _id: '34640' article_type: original author: - first_name: Franziska Margarete full_name: Schloots, Franziska Margarete id: '33185' last_name: Schloots citation: ama: Schloots FM. Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten. Rabbit Eye - Zeitschrift für Filmforschung. 2022;12:65-77. apa: Schloots, F. M. (2022). Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten. Rabbit Eye - Zeitschrift für Filmforschung, 12, 65–77. bibtex: '@article{Schloots_2022, title={Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten}, volume={12}, journal={Rabbit Eye - Zeitschrift für Filmforschung}, author={Schloots, Franziska Margarete}, year={2022}, pages={65–77} }' chicago: 'Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten.” Rabbit Eye - Zeitschrift für Filmforschung 12 (2022): 65–77.' ieee: F. M. Schloots, “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten,” Rabbit Eye - Zeitschrift für Filmforschung, vol. 12, pp. 65–77, 2022. mla: Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten.” Rabbit Eye - Zeitschrift für Filmforschung, vol. 12, 2022, pp. 65–77. short: F.M. Schloots, Rabbit Eye - Zeitschrift für Filmforschung 12 (2022) 65–77. date_created: 2022-12-21T09:01:06Z date_updated: 2024-10-09T14:24:11Z ddc: - '040' department: - _id: '574' external_id: pmid: - '36393995' file: - access_level: closed content_type: application/pdf creator: fms date_created: 2023-01-19T14:12:55Z date_updated: 2023-01-19T14:12:55Z file_id: '37608' file_name: schloots_tamagotchisierung.pdf file_size: 377601 relation: main_file success: 1 file_date_updated: 2023-01-19T14:12:55Z has_accepted_license: '1' intvolume: ' 12' keyword: - Wearable - selft-tracking - Selbstvermessung - Animation - Tamagotchi - Anschaulichkeit language: - iso: ger page: 65-77 pmid: '1' publication: Rabbit Eye - Zeitschrift für Filmforschung publication_identifier: issn: - 2192-5445 publication_status: published status: public title: Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten type: journal_article user_id: '33185' volume: 12 year: '2022' ... --- _id: '34614' abstract: - lang: ger text: "Mit steigenden Optimierungsanforderungen an das Individuum wächst auch das indivi-\r\nduelle Bedürfnis nach Kontrolle. Dieses kann u. a. durch self tracking-Technologien erfüllt werden.\r\nAnhand von drei Fallbeispielen – der Personenwaage, dem Wearable und dem habit tracker – zeigt\r\ndieser Aufsatz, wie sich medienbasierte Selbsttechnologien im historischen Verlauf intensiviert und\r\nstärker in den Alltag integriert haben. Ein besonderer Fokus liegt dabei auf der Ambivalenz dieser\r\nMedien: Ermöglichen sie auf der einen Seite zwar eine Selbstkontrolle und stellen so potenziell sta-\r\nbilisierende Ressourcen für das Individuum dar, schaffen sie auf der anderen Seite auch neue\r\nAnforderungen, die es zu erfüllen gilt." article_type: original author: - first_name: Franziska Margarete full_name: Schloots, Franziska Margarete id: '33185' last_name: Schloots orcid: 0009-0008-9673-2615 citation: ama: Schloots FM. ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. ffk Journal. 2022;6(7):74-91. doi:10.25969/MEDIAREP/18238 apa: Schloots, F. M. (2022). ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. ffk Journal, 6(7), 74–91. https://doi.org/10.25969/MEDIAREP/18238 bibtex: '@article{Schloots_2022, title={‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker}, volume={6}, DOI={10.25969/MEDIAREP/18238}, number={7}, journal={ffk Journal}, author={Schloots, Franziska Margarete}, year={2022}, pages={74–91} }' chicago: 'Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” ffk Journal 6, no. 7 (2022): 74–91. https://doi.org/10.25969/MEDIAREP/18238.' ieee: 'F. M. Schloots, “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker,” ffk Journal, vol. 6, no. 7, pp. 74–91, 2022, doi: 10.25969/MEDIAREP/18238.' mla: Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” ffk Journal, vol. 6, no. 7, 2022, pp. 74–91, doi:10.25969/MEDIAREP/18238. short: F.M. Schloots, ffk Journal 6 (2022) 74–91. date_created: 2022-12-20T14:20:56Z date_updated: 2024-11-22T10:09:55Z ddc: - '040' department: - _id: '574' doi: 10.25969/MEDIAREP/18238 file: - access_level: closed content_type: application/pdf creator: fms date_created: 2022-12-20T14:23:57Z date_updated: 2022-12-20T14:23:57Z file_id: '34616' file_name: ffk_journal_07_74-91_Schloots_Selbstkontrolle_.pdf file_size: 530069 relation: main_file success: 1 file_date_updated: 2022-12-20T14:23:57Z has_accepted_license: '1' intvolume: ' 6' issue: '7' keyword: - self-tracking - Selbsttechnologien - Wearable - Bullet Journal - Personenwaage - Selbstvermessung language: - iso: ger page: 74-91 publication: ffk Journal publication_status: published status: public title: ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable und habit tracker type: journal_article user_id: '33185' volume: 6 year: '2022' ... --- _id: '21808' abstract: - lang: eng text: "Modern services consist of interconnected components,e.g., microservices in a service mesh or machine learning functions in a pipeline. These services can scale and run across multiple network nodes on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities, changing demands, and Quality of Service (QoS) requirements into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm on how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput (up to 76%) and overall network utility (more than 2x) on realworld network topologies and traffic traces. It also supports optimizing multiple, possibly competing objectives, learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic traffic, and scales to large real-world networks. For reproducibility and reuse, our code is publicly available." article_type: original author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Adnan full_name: Manzoor, Adnan last_name: Manzoor - first_name: Haydar full_name: Qarawlus, Haydar last_name: Qarawlus - first_name: Rafael full_name: Schellenberg, Rafael last_name: Schellenberg - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503 apa: Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503 bibtex: '@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={10.1109/TNSM.2021.3076503}, journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }' chicago: Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503. ieee: S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021. mla: Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503. short: S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021). date_created: 2021-04-27T08:04:16Z date_updated: 2022-01-06T06:55:15Z ddc: - '000' department: - _id: '75' doi: 10.1109/TNSM.2021.3076503 file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2021-04-27T08:01:26Z date_updated: 2021-04-27T08:01:26Z description: Author version of the accepted paper file_id: '21809' file_name: ris-accepted-version.pdf file_size: 4172270 relation: main_file file_date_updated: 2021-04-27T08:01:26Z has_accepted_license: '1' keyword: - network management - service management - coordination - reinforcement learning - self-learning - self-adaptation - multi-objective language: - iso: eng oa: '1' project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 publication: Transactions on Network and Service Management publisher: IEEE status: public title: Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning type: journal_article user_id: '35343' year: '2021' ... --- _id: '33854' abstract: - lang: eng text: "Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.' apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.' bibtex: '@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }' chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' date_created: 2022-10-20T16:44:19Z date_updated: 2022-11-18T09:59:27Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2022-10-20T16:41:10Z date_updated: 2022-10-20T16:41:10Z file_id: '33855' file_name: preprint.pdf file_size: 2521656 relation: main_file file_date_updated: 2022-10-20T16:41:10Z has_accepted_license: '1' keyword: - mobility management - coordinated multipoint - CoMP - cell selection - resource management - reinforcement learning - multi agent - MARL - self-learning - self-adaptation - QoE language: - iso: eng oa: '1' project: - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' - _id: '1' name: 'SFB 901: SFB 901' status: public title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning' type: working_paper user_id: '477' year: '2021' ... --- _id: '24547' abstract: - lang: eng text: 'Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time.' author: - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: Matthew full_name: Caron, Matthew id: '60721' last_name: Caron - first_name: Michael full_name: Döring, Michael last_name: Döring - first_name: Tim full_name: Heuwinkel, Tim last_name: Heuwinkel - first_name: Jochen full_name: Baumeister, Jochen id: '46' last_name: Baumeister orcid: 0000-0003-2683-5826 citation: ama: 'Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. In: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).' apa: 'Müller, O., Caron, M., Döring, M., Heuwinkel, T., & Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.' bibtex: '@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }' chicago: 'Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.' ieee: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.' mla: 'Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).' short: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.' conference: end_date: 2021-09-17 location: Online name: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021) start_date: 2021-09-13 date_created: 2021-09-16T08:33:04Z date_updated: 2023-02-28T08:58:24Z department: - _id: '196' - _id: '172' keyword: - expected possession value - handball - tracking data - time series classification - deep learning language: - iso: eng main_file_link: - url: https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf publication: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021) publication_status: inpress status: public title: 'PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data' type: conference user_id: '60721' year: '2021' ... --- _id: '22930' abstract: - lang: eng text: Self-piercing riveting is an established technique for joining multi-material structures in car body manufacturing. Rivets for self-piercing riveting differ in their geometry, the material used, the condition of the material and their surface condition. To shorten the manufacturing process by omitting the heat treatment and the coating process, the authors have elaborated a concept for the use of stainless steel with high strain hardening as a rivet material. The focus of the present investigation is on the evaluation of the influences of the rivet’s geometry and material on its deformation behaviour. Conventional rivets of types P and HD2, a rivet with an improved geometry made of treatable steel 38B2, and rivets made of the stainless steels 1.3815 and 1.4541 are examined. The analysis is conducted by means of multi-step joining tests for two material combinations comprising high-strength steel HCT70X and aluminium EN AW-5083. The joints are cut to provide a cross-section and the deformation behaviour of the different rivets is analysed on the basis of the measured changes in geometry and hardness. In parallel, an examination of the force-stroke curves provides further insights. It can be demonstrated that, besides the geometry, the material strength, in particular, has a significant influence on the deformation behaviour of the rivet. The strength of steel 1.4541 is seen to be too low for the joining task, while the strength of steel 1.3815 is sufficient, and hence the investigation confirms the capability of rivets made of 1.3815 for joining even challenging material combinations. author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: 'Uhe B, Kuball C-M, Merklein M, Meschut G. Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In: Daehn G, Cao J, Kinsey B, Tekkaya E, Vivek A, Yoshida Y, eds. Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. Springer; 2021:1495-1506. doi:10.1007/978-3-030-75381-8_124' apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, & Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. (pp. 1495–1506). Springer. https://doi.org/10.1007/978-3-030-75381-8_124 bibtex: '@inbook{Uhe_Kuball_Merklein_Meschut_2021, place={Cham}, title={Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening}, DOI={10.1007/978-3-030-75381-8_124}, booktitle={Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series.}, publisher={Springer}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, editor={Daehn, Glenn and Cao, Jian and Kinsey, Brad and Tekkaya, Erman and Vivek, Anupam and Yoshida, Yoshinori}, year={2021}, pages={1495–1506} }' chicago: 'Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening.” In Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., edited by Glenn Daehn, Jian Cao, Brad Kinsey, Erman Tekkaya, Anupam Vivek, and Yoshinori Yoshida, 1495–1506. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-75381-8_124.' ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening,” in Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, and Y. Yoshida, Eds. Cham: Springer, 2021, pp. 1495–1506.' mla: Uhe, Benedikt, et al. “Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening.” Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., edited by Glenn Daehn et al., Springer, 2021, pp. 1495–506, doi:10.1007/978-3-030-75381-8_124. short: 'B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series., Springer, Cham, 2021, pp. 1495–1506.' date_created: 2021-08-04T14:02:32Z date_updated: 2026-02-27T10:40:39Z department: - _id: '157' doi: 10.1007/978-3-030-75381-8_124 editor: - first_name: Glenn full_name: Daehn, Glenn last_name: Daehn - first_name: Jian full_name: Cao, Jian last_name: Cao - first_name: Brad full_name: Kinsey, Brad last_name: Kinsey - first_name: Erman full_name: Tekkaya, Erman last_name: Tekkaya - first_name: Anupam full_name: Vivek, Anupam last_name: Vivek - first_name: Yoshinori full_name: Yoshida, Yoshinori last_name: Yoshida keyword: - Self-piercing riveting - Lightweight design - Deformation behaviour - Stainless steel - High nitrogen steel language: - iso: eng page: 1495-1506 place: Cham publication: Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. publication_status: published publisher: Springer quality_controlled: '1' status: public title: Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening type: book_chapter user_id: '53912' year: '2021' ... --- _id: '22274' abstract: - lang: eng text: 'The use of high-strength steel and aluminium is rising due to the intensified efforts being made in lightweight design, and self-piercing riveting is becoming increasingly important. Conventional rivets for self-piercing riveting differ in their geometry, the material used, the condition of the material and the coating. To shorten the manufacturing process, the use of stainless steel with high strain hardening as the rivet material represents a promising approach. This allows the coating of the rivets to be omitted due to the corrosion resistance of the material and, since the strength of the stainless steel is achieved by cold forming, heat treatment is no longer required. In addition, it is possible to adjust the local strength within the rivet. Because of that, the authors have elaborated a concept for using high nitrogen steel 1.3815 as the rivet material. The present investigation focusses on the joint strength in order to evaluate the capability of rivets in high nitrogen steel by comparison to conventional rivets made of treatable steel. Due to certain challenges in the forming process of the high nitrogen steel rivets, deviations result from the targeted rivet geometry. Mainly these deviations cause a lower joint strength with these rivets, which is, however, adequate. All in all, the capability of the new rivet is proven by the results of this investigation. ' author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: 'Uhe B, Kuball C-M, Merklein M, Meschut G. Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. In: ; 2021. doi:10.25518/esaform21.1911' apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. 24th International Conference on Material Forming (ESAFORM), Liège, Belgien. https://doi.org/10.25518/esaform21.1911 bibtex: '@inproceedings{Uhe_Kuball_Merklein_Meschut_2021, title={Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel}, DOI={10.25518/esaform21.1911}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, year={2021} }' chicago: Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Strength of Self-Piercing Riveted Joints with Conventional Rivets and Rivets Made of High Nitrogen Steel,” 2021. https://doi.org/10.25518/esaform21.1911. ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel,” presented at the 24th International Conference on Material Forming (ESAFORM), Liège, Belgien, 2021, doi: 10.25518/esaform21.1911.' mla: Uhe, Benedikt, et al. Strength of Self-Piercing Riveted Joints with Conventional Rivets and Rivets Made of High Nitrogen Steel. 2021, doi:10.25518/esaform21.1911. short: 'B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, in: 2021.' conference: end_date: 2021-04-16 location: Liège, Belgien name: 24th International Conference on Material Forming (ESAFORM) start_date: 2021-04-14 date_created: 2021-05-31T10:17:37Z date_updated: 2026-02-27T10:25:13Z department: - _id: '157' doi: 10.25518/esaform21.1911 keyword: - Self-piercing Riveting - Joining Technology - Rivet Geometry - Rivet Material - High Nitrogen Steel - Joint Strength language: - iso: eng quality_controlled: '1' status: public title: Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel type: conference user_id: '53912' year: '2021' ... --- _id: '32558' abstract: - lang: eng text: With the rapid progress of technological development, self-efficacy in reference to digital devices (i.e., information and computer technology [ICT] self-efficacy) is an important driver that helps students to deal with technological problems and support their lifelong learning processes. Schools, peers, and home learning environments are important sources for the development of positive self-efficacy. Expanding on previous research, we investigated the associations between different aspects of the digital home learning environment and students’ ICT self-efficacy. The moderation effects of gender were also tested. A total of 651 children answered a questionnaire about different digital home learning environment dimensions and estimated their ICT self-efficacy using an adapted scale—Schwarzer and Jerusalem’s (1999) general self-efficacy scale. Using the structural equation modeling technique, a digital home learning environment containing six different qualities of parental support was investigated. Families’ cultural capital, parents’ attitudes toward the Internet, and shared Internet activities at home contributed positively to ICT self-efficacy. We observed small gender differences, with the moderation effect being nonsignificant. The results help researchers and practitioners to understand how different dimensions of the digital home learning environment support ICT self-efficacy. We will discuss how parents can enhance the home learning environment and how teachers can integrate this knowledge into formal education. author: - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Heike M. full_name: Buhl, Heike M. id: '27152' last_name: Buhl citation: ama: Bonanati S, Buhl HM. The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research. 2021;25(2):485-505. doi:10.1007/s10984-021-09377-8 apa: Bonanati, S., & Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505. https://doi.org/10.1007/s10984-021-09377-8 bibtex: '@article{Bonanati_Buhl_2021, title={The digital home learning environment and its relation to children’s ICT self-efficacy}, volume={25}, DOI={10.1007/s10984-021-09377-8}, number={2}, journal={Learning Environments Research}, publisher={Springer Science and Business Media LLC}, author={Bonanati, Sabrina and Buhl, Heike M.}, year={2021}, pages={485–505} }' chicago: 'Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research 25, no. 2 (2021): 485–505. https://doi.org/10.1007/s10984-021-09377-8.' ieee: 'S. Bonanati and H. M. Buhl, “The digital home learning environment and its relation to children’s ICT self-efficacy,” Learning Environments Research, vol. 25, no. 2, pp. 485–505, 2021, doi: 10.1007/s10984-021-09377-8.' mla: Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research, vol. 25, no. 2, Springer Science and Business Media LLC, 2021, pp. 485–505, doi:10.1007/s10984-021-09377-8. short: S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505. date_created: 2022-08-03T05:53:48Z date_updated: 2025-07-16T08:38:51Z department: - _id: '427' doi: 10.1007/s10984-021-09377-8 intvolume: ' 25' issue: '2' keyword: - Digital media use - Gender - Home learning environment - ICT self-efcacy - Motivation - Parental involvement language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/content/pdf/10.1007/s10984-021-09377-8.pdf oa: '1' page: 485-505 project: - _id: '378' grant_number: 01JD1814A name: 'DigHomE: DigHomE: Digital Home Learning Environment – Gelingensbedingungen elterlicher Unterstützung bei der informationsorientierten Internetnutzung' publication: Learning Environments Research publication_identifier: issn: - 1387-1579 - 1573-1855 publication_status: published publisher: Springer Science and Business Media LLC status: public title: The digital home learning environment and its relation to children’s ICT self-efficacy type: journal_article user_id: '27152' volume: 25 year: '2021' ... --- _id: '19609' abstract: - lang: eng text: "Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Adnan full_name: Manzoor, Adnan last_name: Manzoor - first_name: Haydar full_name: Qarawlus, Haydar last_name: Qarawlus - first_name: Rafael full_name: Schellenberg, Rafael last_name: Schellenberg - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.' apa: Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE. bibtex: '@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }' chicago: Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020. ieee: S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020. mla: Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020. short: 'S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.' date_created: 2020-09-22T06:28:22Z date_updated: 2022-01-06T06:54:08Z ddc: - '006' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2020-09-22T06:29:16Z date_updated: 2020-09-22T06:36:00Z file_id: '19610' file_name: ris_with_copyright.pdf file_size: 642999 relation: main_file file_date_updated: 2020-09-22T06:36:00Z has_accepted_license: '1' keyword: - self-driving networks - self-learning - network coordination - service coordination - reinforcement learning - deep learning - nfv language: - iso: eng oa: '1' project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 publication: IEEE International Conference on Network and Service Management (CNSM) publisher: IEEE status: public title: Self-Driving Network and Service Coordination Using Deep Reinforcement Learning type: conference user_id: '35343' year: '2020' ... --- _id: '20143' author: - first_name: Mortaza full_name: Otroshi, Mortaza id: '71269' last_name: Otroshi orcid: 0000-0002-8652-9209 - first_name: Moritz full_name: Rossel, Moritz last_name: Rossel - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: Otroshi M, Rossel M, Meschut G. Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes. 2020;1. doi:10.1016/j.jajp.2020.100015 apa: Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015 bibtex: '@article{Otroshi_Rossel_Meschut_2020, title={Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model}, volume={1}, DOI={10.1016/j.jajp.2020.100015}, journal={Journal of Advanced Joining Processes}, publisher={Elsevier}, author={Otroshi, Mortaza and Rossel, Moritz and Meschut, Gerson}, year={2020} }' chicago: Otroshi, Mortaza, Moritz Rossel, and Gerson Meschut. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced Joining Processes 1 (2020). https://doi.org/10.1016/j.jajp.2020.100015. ieee: 'M. Otroshi, M. Rossel, and G. Meschut, “Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model,” Journal of Advanced Joining Processes, vol. 1, 2020, doi: 10.1016/j.jajp.2020.100015.' mla: Otroshi, Mortaza, et al. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced Joining Processes, vol. 1, Elsevier, 2020, doi:10.1016/j.jajp.2020.100015. short: M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes 1 (2020). date_created: 2020-10-20T14:49:15Z date_updated: 2022-04-25T07:49:50Z department: - _id: '157' doi: 10.1016/j.jajp.2020.100015 intvolume: ' 1' keyword: - Self-pierce riveting - Ductile fracture - Damage modeling - GISSMO damage model language: - iso: eng main_file_link: - open_access: '1' oa: '1' publication: Journal of Advanced Joining Processes publisher: Elsevier quality_controlled: '1' status: public title: Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model type: journal_article user_id: '71269' volume: 1 year: '2020' ... --- _id: '35298' abstract: - lang: ger text: Im Artikel werden drei verschiedene Lernzugänge (kom-petenzorientiertes, ästhetisches und biographisches Lernen) vorgestellt und aus theoretischer Perspektive deren motivierender Gehalt für selbstreguliertes Lernen in Praxisphasen des Lehramtsstudiumsherausgearbeitet. Als theoretische Grund-lage dient die Selbstbestimmungstheorie als zentrale motivationale Theorie zur Erklärung selbstbestimmten Handelns. - lang: eng text: The article addresses how motivational learning approaches (competency-oriented, aesthetic and biographical) can contribute to the professionalization of preservice teachers during a long-term internship. As a theoretical basis, the self-determination theory serves as a central motivational theory for explaining self-determined action. alternative_title: - Ein Blick auf kompetenzorientiertes, ästhetisches und biographisches Lernen im Lehramtsstudium author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Christine full_name: Adammek, Christine last_name: Adammek - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Sybille full_name: Wiescholek, Sybille last_name: Wiescholek citation: ama: Caruso C, Adammek C, Bonanati S, Wiescholek S. Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion. 2020;3(1):18-33. doi:10.4119/hlz-2540 apa: Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540 bibtex: '@article{Caruso_Adammek_Bonanati_Wiescholek_2020, title={Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen}, volume={3}, DOI={10.4119/hlz-2540}, number={1}, journal={Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion}, author={Caruso, Carina and Adammek, Christine and Bonanati, Sabrina and Wiescholek, Sybille}, year={2020}, pages={18–33} }' chicago: 'Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33. https://doi.org/10.4119/hlz-2540.' ieee: 'C. Caruso, C. Adammek, S. Bonanati, and S. Wiescholek, “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen,” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, pp. 18–33, 2020, doi: 10.4119/hlz-2540.' mla: Caruso, Carina, et al. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, 2020, pp. 18–33, doi:10.4119/hlz-2540. short: C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33. date_created: 2023-01-05T13:58:28Z date_updated: 2023-01-06T12:18:16Z doi: 10.4119/hlz-2540 intvolume: ' 3' issue: '1' keyword: - ästhetische Forschung - Biographiearbeit - Praxissemester - Professionalisierung - selbstreguliertes Lernen - Motivation / aesthetic research - biographical work - long-term internship - profes-sionalization - self-regulated learning - motivation language: - iso: other page: 18-33 publication: Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion publication_identifier: issn: - 2625-0675 publication_status: published status: public title: Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen type: journal_article user_id: '86519' volume: 3 year: '2020' ... --- _id: '19976' abstract: - lang: eng text: The aim to reduce pollutant emission has led to a trend towards lightweight construction in car body development during the last years. As a consequence of the resulting need for multi-material design, mechanical joining technologies become increasingly important. Mechanical joining allows for the combination of dissimilar materials, while thermic joining techniques reach their limits. Self-piercing riveting enables the joining of dissimilar materials by using semi-tubular rivets as mechanical fasteners. The rivet production, however, is costly and time-consuming, as the rivets generally have to be hardened, tempered and coated after forming, in order to achieve an adequate strength and corrosion resistance. A promising approach to improve the efficiency of the rivet manufacturing is the use of high-strength high nitrogen steel as rivet material because these additional process steps would not be necessary anymore. As a result of the comparatively high nitrogen content, such steels have various beneficial properties like higher strength, good ductility and improved corrosion resistance. By cold bulk forming of high nitrogen steels high-strength parts can be manufactured due to the strengthening which is caused by the high strain hardening. However, high tool loads thereby have to be expected and are a major challenge during the production process. Consequently, there is a need for appropriate forming strategies. This paper presents key aspects concerning the process design for the manufacturing of semi-tubular self-piercing rivets made of high-strength steel. The aim is to produce the rivets in several forming stages without intermediate heat treatment between the single stages. Due to the high strain hardening of the material, a two stage forming concept will be investigated. Cup-backward extrusion is chosen as the first process step in order to form the rivet shank without forming the rivet foot. Thus, the strain hardening effects in the area of the rivet foot are minimized and the tool loads during the following process step can be reduced. During the second and final forming stage the detailed geometry of the rivet foot and the rivet head is formed. In this context, the effect of different variations, for example concerning the final geometry of the rivet foot, on the tool load is investigated using multistage numerical analysis. Furthermore, the influence of the process temperature on occurring stresses is analysed. Based on the results of the investigations, an adequate forming strategy and a tool concept for the manufacturing of semi-tubular self-piercing rivets made of high-strength steel are presented. citation: ama: Kuball C-M, Uhe B, Meschut G, Merklein M, eds. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. Vol 50.; 2020:280-285. doi:10.1016/j.promfg.2020.08.052 apa: Kuball, C.-M., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel (Vol. 50, pp. 280–285). https://doi.org/10.1016/j.promfg.2020.08.052 bibtex: '@book{Kuball_Uhe_Meschut_Merklein_2020, series={Procedia Manufacturing}, title={Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel}, volume={50}, DOI={10.1016/j.promfg.2020.08.052}, year={2020}, pages={280–285}, collection={Procedia Manufacturing} }' chicago: Kuball, Clara-Maria, Benedikt Uhe, Gerson Meschut, and Marion Merklein, eds. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. Vol. 50. Procedia Manufacturing, 2020. https://doi.org/10.1016/j.promfg.2020.08.052. ieee: C.-M. Kuball, B. Uhe, G. Meschut, and M. Merklein, Eds., Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel, vol. 50. 2020, pp. 280–285. mla: Kuball, Clara-Maria, et al., editors. Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel. 2020, pp. 280–85, doi:10.1016/j.promfg.2020.08.052. short: C.-M. Kuball, B. Uhe, G. Meschut, M. Merklein, eds., Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel, 2020. date_created: 2020-10-12T08:30:08Z date_updated: 2026-02-27T10:43:48Z department: - _id: '157' doi: 10.1016/j.promfg.2020.08.052 editor: - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 - first_name: Marion full_name: Merklein, Marion last_name: Merklein intvolume: ' 50' keyword: - high nitrogen steel - self-piercing riveting - joining by forming - bulk forming - tool design language: - iso: eng page: 280-285 publication_status: published quality_controlled: '1' series_title: Procedia Manufacturing status: public title: Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel type: conference_editor user_id: '53912' volume: 50 year: '2020' ... --- _id: '19973' abstract: - lang: eng text: As a result of lightweight design, increased use is being made of high-strength steel and aluminium in car bodies. Self-piercing riveting is an established technique for joining these materials. The dissimilar properties of the two materials have led to a number of different rivet geometries in the past. Each rivet geometry fulfils the requirements of the materials within a limited range. In the present investigation, an improved rivet geometry is developed, which permits the reliable joining of two material combinations that could only be joined by two different rivet geometries up until now. Material combination 1 consists of high-strength steel on both sides, while material combination 2 comprises aluminium on the punch side and high-strength steel on the die side. The material flow and the stress and strain conditions prevailing during the joining process are analysed by means of numerical simulation. The rivet geometry is then improved step-by-step on the basis of this analysis. Finally, the improved rivet geometry is manufactured and the findings of the investigation are verified in experimental joining tests. article_type: original author: - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: Marion full_name: Merklein, Marion last_name: Merklein - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: Uhe B, Kuball C-M, Merklein M, Meschut G. Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering. 2020;14:417-423. doi:10.1007/s11740-020-00973-w apa: Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2020). Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering, 14, 417–423. https://doi.org/10.1007/s11740-020-00973-w bibtex: '@article{Uhe_Kuball_Merklein_Meschut_2020, title={Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints}, volume={14}, DOI={10.1007/s11740-020-00973-w}, journal={Production Engineering}, author={Uhe, Benedikt and Kuball, Clara-Maria and Merklein, Marion and Meschut, Gerson}, year={2020}, pages={417–423} }' chicago: 'Uhe, Benedikt, Clara-Maria Kuball, Marion Merklein, and Gerson Meschut. “Improvement of a Rivet Geometry for the Self-Piercing Riveting of High-Strength Steel and Multi-Material Joints.” Production Engineering 14 (2020): 417–23. https://doi.org/10.1007/s11740-020-00973-w.' ieee: 'B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints,” Production Engineering, vol. 14, pp. 417–423, 2020, doi: 10.1007/s11740-020-00973-w.' mla: Uhe, Benedikt, et al. “Improvement of a Rivet Geometry for the Self-Piercing Riveting of High-Strength Steel and Multi-Material Joints.” Production Engineering, vol. 14, 2020, pp. 417–23, doi:10.1007/s11740-020-00973-w. short: B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, Production Engineering 14 (2020) 417–423. date_created: 2020-10-12T08:14:13Z date_updated: 2026-02-27T10:41:55Z department: - _id: '157' doi: 10.1007/s11740-020-00973-w intvolume: ' 14' keyword: - Self-piercing riveting - Joining technology - Rivet geometry - Multi-material design - High-strength steel - Aluminium language: - iso: eng page: 417-423 publication: Production Engineering publication_status: published quality_controlled: '1' status: public title: Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints type: journal_article user_id: '53912' volume: 14 year: '2020' ... --- _id: '19974' abstract: - lang: eng text: Due to the trend towards lightweight design in car body development mechanical joining technologies become increasingly important. These techniques allow for the joining of dissimilar materials and thus enable multi-material design, while thermic joining methods reach their limits. Semi-tubular self-piercing riveting is an important mechanical joining technology. The rivet production, however, is costly and time-consuming, as the process consists of several process steps including the heat treatment and coating of the rivets in order to achieve an adequate strength and corrosion resistance. The use of high nitrogen steel as rivet material leads to the possibility of reducing process steps and hence increasing the efficiency of the process. However, the high tool loads being expected due to the high strain hardening of the material are a major challenge during the rivet production. Thus, there is a need for appropriate forming strategies, such as the manufacturing of the rivets at elevated temperatures. Prior investigations led to the conclusion that forming already at 200 °C results in a distinct reduction of the yield strength. To create a deeper understanding of the forming behaviour of high nitrogen steel at elevated temperatures, compression tests were conducted in a temperature range between room temperature and 200 °C. The determined true stress – true strain curves are the basis for the further process and tool design of the rivet production. Another key factor for the rivet manufacturing at elevated temperatures is the influence of the process temperature on the tribological conditions. For this reason, ring compression tests at room temperature and 200 °C are carried out. The friction factors are determined on the basis of calibration curves resulting from the numerical analysis of the ring compression process. The investigations indicate that the friction factor at 200 °C is significantly higher compared to room temperature. This essential fact has to be taken into account for the process and tool design for the rivet production using high nitrogen steel. article_number: '100023' citation: ama: Kuball C-M, Jung R, Uhe B, Meschut G, Merklein M, eds. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. Vol 1.; 2020. doi:10.1016/j.jajp.2020.100023 apa: Kuball, C.-M., Jung, R., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel (No. 100023; Vol. 1). https://doi.org/10.1016/j.jajp.2020.100023 bibtex: '@book{Kuball_Jung_Uhe_Meschut_Merklein_2020, series={Journal of Advanced Joining Processes}, title={Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel}, volume={1}, DOI={10.1016/j.jajp.2020.100023}, number={100023}, year={2020}, collection={Journal of Advanced Joining Processes} }' chicago: Kuball, Clara-Maria, R Jung, Benedikt Uhe, Gerson Meschut, and Marion Merklein, eds. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. Vol. 1. Journal of Advanced Joining Processes, 2020. https://doi.org/10.1016/j.jajp.2020.100023. ieee: C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, and M. Merklein, Eds., Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel, vol. 1. 2020. mla: Kuball, Clara-Maria, et al., editors. Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel. 100023, 2020, doi:10.1016/j.jajp.2020.100023. short: C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, M. Merklein, eds., Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel, 2020. date_created: 2020-10-12T08:23:27Z date_updated: 2026-02-27T10:45:08Z department: - _id: '157' doi: 10.1016/j.jajp.2020.100023 editor: - first_name: Clara-Maria full_name: Kuball, Clara-Maria last_name: Kuball - first_name: R full_name: Jung, R last_name: Jung - first_name: Benedikt full_name: Uhe, Benedikt id: '38131' last_name: Uhe - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 - first_name: Marion full_name: Merklein, Marion last_name: Merklein intvolume: ' 1' keyword: - High nitrogen steel - Self-piercing riveting - Joining by forming - Bulk forming - Strain hardening language: - iso: eng publication_status: published quality_controlled: '1' series_title: Journal of Advanced Joining Processes status: public title: Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel type: conference_editor user_id: '53912' volume: 1 year: '2020' ... --- _id: '10000' abstract: - lang: eng text: Ultraschall wird zur Effizienzsteigerung in verfahrenstechnischen Prozessen eingesetzt. Die Betriebsparamter der Ultraschallsysteme werden empirisch ermittelt, da derzeit keine systematische Analyse der Wechselwirkung zwischen Ultraschallwandler und Schallfeld sowie kein Verfahren zur Messung der Kavitationsaktivität ohne zusätzlichen Sensor existieren. Auf Basis einer experimentellen Analyse des betrachteten sonochemischen Reaktors wird ein Finite-Elemente-Modell aufgebaut, das die Wechselwirkung zwischen Schallfeld und Ultraschallwandler berücksichtigt. Die modellbasierte Analyse zeigt, dass wegen der akustischen Eigenschaften des Autoklavs nur direkt an der Sonotrode Kavitation entsteht. Die Wechselwirkung zwischen Ultraschallwandler und Schallfeld ermöglicht Aussagen über das Schallfeld und die Kavitationsaktivität auf Basis der Rückwirkung auf den Ultraschallwandler. Die lineare Schalldruckverteilung ermöglicht eine Prognose über die Verteilung von Kavitationszonen. Das beschriebene Modell liefert wertvolle Erkenntnisse für die Auslegung, Analyse und Skalierung sonochemischer Reaktoren. Auf Grund der rauen Prozessrandbedingungen ist die Applikation von Sensoren zur Überwachung der Kavitationsaktivität in vielen sonochemischen Prozessen nicht möglich. Zur prozessbegleitenden Messung der Kavitationsaktivität wird ein Verfahren entwickelt, das die Bewertung der Kavitationsaktivität durch Auswertung der Rückwirkung auf den Ultraschallwandler erlaubt. Das Messverfahren ermöglicht eine vorhersagbare und reproduzierbare Durchführung kavitationsbasierter Prozesse und stellt eine wichtige Erweiterung für bestehende und neue Ultraschallsysteme dar. author: - first_name: Peter full_name: Bornmann, Peter last_name: Bornmann citation: ama: Bornmann P. Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen. Shaker; 2019. apa: Bornmann, P. (2019). Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker. bibtex: '@book{Bornmann_2019, title={Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen}, publisher={Shaker}, author={Bornmann, Peter}, year={2019} }' chicago: Bornmann, Peter. Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen. Shaker, 2019. ieee: P. Bornmann, Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker, 2019. mla: Bornmann, Peter. Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen. Shaker, 2019. short: P. Bornmann, Modellierung Und Experimentelle Charakterisierung Der Wechselwirkung Zwischen Ultraschallwandler Und Flüssigkeit in Kavitationsbasierten Prozessen, Shaker, 2019. date_created: 2019-05-27T10:29:53Z date_updated: 2023-09-15T12:23:55Z department: - _id: '151' keyword: - Sonochemie - Akustische Kavitation - Kavitationsmessung - Kavitationsdetektion - FEM-Simulation Ultraschallwandler - Prozessüberwachung - FEM-Simulation Schallfeld - Self-Sensing - Piezoelektrische Ultraschallwandler - Ultraschallreinigung language: - iso: eng publisher: Shaker status: public title: Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen type: dissertation user_id: '210' year: '2019' ... --- _id: '1163' abstract: - lang: eng text: "In this paper we present two major results:\r\nFirst, we introduce the first self-stabilizing version of a supervised overlay network (as introduced in~\\cite{DBLP:conf/ispan/KothapalliS05}) by presenting a self-stabilizing supervised skip ring.\r\nSecondly, we show how to use the self-stabilizing supervised skip ring to construct an efficient self-stabilizing publish-subscribe system.\r\nThat is, in addition to stabilizing the overlay network, every subscriber of a topic will eventually know all of the publications that have been issued so far for that topic. The communication work needed to processes a subscribe or unsubscribe operation is just a constant in a legitimate state, and the communication work of checking whether the system is still in a legitimate state is just a constant on expectation for the supervisor as well as any process in the system.\r\n" author: - first_name: Michael full_name: Feldmann, Michael id: '23538' last_name: Feldmann - first_name: Christina full_name: Kolb, Christina id: '43647' last_name: Kolb - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler - first_name: Thim Frederik full_name: Strothmann, Thim Frederik id: '11319' last_name: Strothmann citation: ama: 'Feldmann M, Kolb C, Scheideler C, Strothmann TF. Self-Stabilizing Supervised Publish-Subscribe Systems. In: Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS). IEEE; 2018. doi:10.1109/IPDPS.2018.00114' apa: 'Feldmann, M., Kolb, C., Scheideler, C., & Strothmann, T. F. (2018). Self-Stabilizing Supervised Publish-Subscribe Systems. In Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS). Vancouver: IEEE. https://doi.org/10.1109/IPDPS.2018.00114' bibtex: '@inproceedings{Feldmann_Kolb_Scheideler_Strothmann_2018, title={Self-Stabilizing Supervised Publish-Subscribe Systems}, DOI={10.1109/IPDPS.2018.00114}, booktitle={Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS)}, publisher={IEEE}, author={Feldmann, Michael and Kolb, Christina and Scheideler, Christian and Strothmann, Thim Frederik}, year={2018} }' chicago: Feldmann, Michael, Christina Kolb, Christian Scheideler, and Thim Frederik Strothmann. “Self-Stabilizing Supervised Publish-Subscribe Systems.” In Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS). IEEE, 2018. https://doi.org/10.1109/IPDPS.2018.00114. ieee: M. Feldmann, C. Kolb, C. Scheideler, and T. F. Strothmann, “Self-Stabilizing Supervised Publish-Subscribe Systems,” in Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, 2018. mla: Feldmann, Michael, et al. “Self-Stabilizing Supervised Publish-Subscribe Systems.” Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS), IEEE, 2018, doi:10.1109/IPDPS.2018.00114. short: 'M. Feldmann, C. Kolb, C. Scheideler, T.F. Strothmann, in: Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS), IEEE, 2018.' conference: end_date: 2018-5-24 location: Vancouver name: 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS) start_date: 2018-5-22 date_created: 2018-02-01T13:56:01Z date_updated: 2022-01-06T06:51:05Z ddc: - '040' department: - _id: '79' - _id: '66' doi: 10.1109/IPDPS.2018.00114 external_id: arxiv: - '1710.08128' file: - access_level: closed content_type: application/pdf creator: mfeldma2 date_created: 2018-10-31T13:25:37Z date_updated: 2018-10-31T13:25:37Z file_id: '5211' file_name: 08425258.pdf file_size: 239559 relation: main_file success: 1 file_date_updated: 2018-10-31T13:25:37Z has_accepted_license: '1' keyword: - Topological Self-stabilization - Supervised Overlay - Publish-Subscribe System language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '5' name: SFB 901 - Subproject A1 publication: Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS) publisher: IEEE status: public title: Self-Stabilizing Supervised Publish-Subscribe Systems type: conference user_id: '11319' year: '2018' ... --- _id: '4411' abstract: - lang: eng text: "While a lot of research in distributed computing has covered solutions for self-stabilizing computing and topologies, there is far less work on self-stabilization for distributed data structures.\r\nConsidering crashing peers in peer-to-peer networks, it should not be taken for granted that a distributed data structure remains intact.\r\nIn this work, we present a self-stabilizing protocol for a distributed data structure called the hashed Patricia Trie (Kniesburges and Scheideler WALCOM'11) that enables efficient prefix search on a set of keys.\r\nThe data structure has a wide area of applications including string matching problems while offering low overhead and efficient operations when embedded on top of a distributed hash table.\r\nEspecially, longest prefix matching for $x$ can be done in $\\mathcal{O}(\\log |x|)$ hash table read accesses.\r\nWe show how to maintain the structure in a self-stabilizing way.\r\nOur protocol assures low overhead in a legal state and a total (asymptotically optimal) memory demand of $\\Theta(d)$ bits, where $d$ is the number of bits needed for storing all keys." author: - first_name: Till full_name: Knollmann, Till id: '39241' last_name: Knollmann orcid: 0000-0003-2014-4696 - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler citation: ama: 'Knollmann T, Scheideler C. A Self-Stabilizing Hashed Patricia Trie. In: Izumi T, Kuznetsov P, eds. Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS). Vol 11201. Lecture Notes of Computer Science. Springer, Cham; 2018. doi:10.1007/978-3-030-03232-6_1' apa: 'Knollmann, T., & Scheideler, C. (2018). A Self-Stabilizing Hashed Patricia Trie. In T. Izumi & P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (Vol. 11201). Tokyo: Springer, Cham. https://doi.org/10.1007/978-3-030-03232-6_1' bibtex: '@inproceedings{Knollmann_Scheideler_2018, series={Lecture Notes of Computer Science}, title={A Self-Stabilizing Hashed Patricia Trie}, volume={11201}, DOI={10.1007/978-3-030-03232-6_1}, booktitle={Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS)}, publisher={Springer, Cham}, author={Knollmann, Till and Scheideler, Christian}, editor={Izumi, Taisuke and Kuznetsov, PetrEditors}, year={2018}, collection={Lecture Notes of Computer Science} }' chicago: Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” In Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), edited by Taisuke Izumi and Petr Kuznetsov, Vol. 11201. Lecture Notes of Computer Science. Springer, Cham, 2018. https://doi.org/10.1007/978-3-030-03232-6_1. ieee: T. Knollmann and C. Scheideler, “A Self-Stabilizing Hashed Patricia Trie,” in Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Tokyo, 2018, vol. 11201. mla: Knollmann, Till, and Christian Scheideler. “A Self-Stabilizing Hashed Patricia Trie.” Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), edited by Taisuke Izumi and Petr Kuznetsov, vol. 11201, Springer, Cham, 2018, doi:10.1007/978-3-030-03232-6_1. short: 'T. Knollmann, C. Scheideler, in: T. Izumi, P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS), Springer, Cham, 2018.' conference: end_date: 2018-11-07 location: Tokyo name: 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) start_date: 2018-11-04 date_created: 2018-09-17T13:12:18Z date_updated: 2022-01-06T07:01:02Z ddc: - '000' department: - _id: '63' - _id: '79' doi: 10.1007/978-3-030-03232-6_1 editor: - first_name: Taisuke full_name: Izumi, Taisuke last_name: Izumi - first_name: Petr full_name: Kuznetsov, Petr last_name: Kuznetsov external_id: arxiv: - '1809.04923' file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T14:38:37Z date_updated: 2018-11-02T14:38:37Z file_id: '5277' file_name: ASelf-stabilizingHashedPatrici.pdf file_size: 500005 relation: main_file success: 1 file_date_updated: 2018-11-02T14:38:37Z has_accepted_license: '1' intvolume: ' 11201' keyword: - Self-Stabilizing - Prefix Search - Distributed Data Structure language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '5' name: SFB 901 - Subproject A1 publication: Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) publisher: Springer, Cham series_title: Lecture Notes of Computer Science status: public title: A Self-Stabilizing Hashed Patricia Trie type: conference user_id: '39241' volume: 11201 year: '2018' ... --- _id: '9999' abstract: - lang: eng text: Ultrasonic wire bonding is an indispensable process in the industrial manufacturing of semiconductor devices. Copper wire is increasingly replacing the well-established aluminium wire because of its superior electrical, thermal and mechanical properties. Copper wire processes differ significantly from aluminium processes and are more sensitive to disturbances, which reduces the range of parameter values suitable for a stable process. Disturbances can be compensated by an adaption of process parameters, but finding suitable parameters manually is difficult and time-consuming. This paper presents a physical model of the ultrasonic wire bonding process including the friction contact between tool and wire. This model yields novel insights into the process. A prototype of a multi-objective optimizing bonding machine (MOBM) is presented. It uses multi-objective optimization, based on the complete process model, to automatically select the best operating point as a compromise of concurrent objectives. author: - first_name: Andreas full_name: Unger, Andreas last_name: Unger - first_name: Matthias full_name: Hunstig, Matthias last_name: Hunstig - first_name: Tobias full_name: Meyer, Tobias last_name: Meyer - first_name: Michael full_name: Brökelmann, Michael last_name: Brökelmann - first_name: Walter full_name: Sextro, Walter id: '21220' last_name: Sextro citation: ama: 'Unger A, Hunstig M, Meyer T, Brökelmann M, Sextro W. Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018. Vol Vol. 2018, No. 1, pp. 000572-000577. ; 2018. doi:10.4071/2380-4505-2018.1.000572' apa: Unger, A., Hunstig, M., Meyer, T., Brökelmann, M., & Sextro, W. (2018). Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018 (Vol. Vol. 2018, No. 1, pp. 000572-000577.). https://doi.org/10.4071/2380-4505-2018.1.000572 bibtex: '@inproceedings{Unger_Hunstig_Meyer_Brökelmann_Sextro_2018, title={Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges}, volume={Vol. 2018, No. 1, pp. 000572-000577.}, DOI={10.4071/2380-4505-2018.1.000572}, booktitle={In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018}, author={Unger, Andreas and Hunstig, Matthias and Meyer, Tobias and Brökelmann, Michael and Sextro, Walter}, year={2018} }' chicago: Unger, Andreas, Matthias Hunstig, Tobias Meyer, Michael Brökelmann, and Walter Sextro. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.” In In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, Vol. Vol. 2018, No. 1, pp. 000572-000577., 2018. https://doi.org/10.4071/2380-4505-2018.1.000572. ieee: A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, and W. Sextro, “Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges,” in In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577. mla: Unger, Andreas, et al. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.” In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577., 2018, doi:10.4071/2380-4505-2018.1.000572. short: 'A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, W. Sextro, in: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018.' date_created: 2019-05-27T10:27:45Z date_updated: 2020-05-07T05:33:56Z department: - _id: '151' doi: 10.4071/2380-4505-2018.1.000572 keyword: - wire bonding - multi-objective optimization - process model - copper wire - self-optimization language: - iso: eng project: - _id: '92' grant_number: 02 PQ2210 name: Intelligente Herstellung zuverlässiger Kupferbondverbindungen publication: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018 quality_controlled: '1' status: public title: Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges type: conference user_id: '210' volume: Vol. 2018, No. 1, pp. 000572-000577. year: '2018' ... --- _id: '32158' abstract: - lang: eng text: 'Sociogenesis addresses a pervasive problem in psychology given by Cartesian dualism that assigns the mental an inner locus apart from material activity. Aligning ourselves to the ongoing critical discussions of interiorization in psychology, we explore the crucial notion of space by highlighting language as sociocultural and dialogical activity performed by other-oriented individuals. We discuss space in terms of the “language spacetime”, a symbolic, embodied formation of mutually positioned speaking and listening selves. This leads beyond the “inside-outside” container metaphor and allows for a reformulation of interiorization. Interiorization is conceptualized as a continuous series of different, though mutually related movements between self and other and self and self that lead to and are supported by specific formations in language activity: reversion, transposition, and decoupling. Along a short passage of a video-based interview, we trace the reversion of dialogical positions within the addressivity constellation of the two interlocutors, their interactive creation of a heterotopic spacetime, and the decoupling of one speaker''s psychological activity from the concrete here-and-now and the present other by moving and acting into this new sphere. Interiorization appears as a movement at the border of past, present, and possible future(s).' author: - first_name: Marie-Cécile full_name: Bertau, Marie-Cécile last_name: Bertau - first_name: Andrea full_name: Karsten, Andrea id: '53917' last_name: Karsten citation: ama: 'Bertau M-C, Karsten A. Reconsidering interiorization: Self moving across language spacetimes. New Ideas in Psychology. 2018;49:7-17. doi:10.1016/j.newideapsych.2017.12.001' apa: 'Bertau, M.-C., & Karsten, A. (2018). Reconsidering interiorization: Self moving across language spacetimes. New Ideas in Psychology, 49, 7–17. https://doi.org/10.1016/j.newideapsych.2017.12.001' bibtex: '@article{Bertau_Karsten_2018, title={Reconsidering interiorization: Self moving across language spacetimes}, volume={49}, DOI={10.1016/j.newideapsych.2017.12.001}, journal={New Ideas in Psychology}, publisher={Elsevier BV}, author={Bertau, Marie-Cécile and Karsten, Andrea}, year={2018}, pages={7–17} }' chicago: 'Bertau, Marie-Cécile, and Andrea Karsten. “Reconsidering Interiorization: Self Moving across Language Spacetimes.” New Ideas in Psychology 49 (2018): 7–17. https://doi.org/10.1016/j.newideapsych.2017.12.001.' ieee: 'M.-C. Bertau and A. Karsten, “Reconsidering interiorization: Self moving across language spacetimes,” New Ideas in Psychology, vol. 49, pp. 7–17, 2018, doi: 10.1016/j.newideapsych.2017.12.001.' mla: 'Bertau, Marie-Cécile, and Andrea Karsten. “Reconsidering Interiorization: Self Moving across Language Spacetimes.” New Ideas in Psychology, vol. 49, Elsevier BV, 2018, pp. 7–17, doi:10.1016/j.newideapsych.2017.12.001.' short: M.-C. Bertau, A. Karsten, New Ideas in Psychology 49 (2018) 7–17. date_created: 2022-06-24T14:41:20Z date_updated: 2022-07-18T09:21:16Z department: - _id: '424' doi: 10.1016/j.newideapsych.2017.12.001 intvolume: ' 49' keyword: - Interiorization - Dialogical self - Language activity - Voice - Vygotsky - Heterotopia - Video-confrontation language: - iso: eng page: 7-17 publication: New Ideas in Psychology publication_identifier: issn: - 0732-118X publication_status: published publisher: Elsevier BV status: public title: 'Reconsidering interiorization: Self moving across language spacetimes' type: journal_article user_id: '42165' volume: 49 year: '2018' ... --- _id: '4419' abstract: - lang: eng text: Research on entrepreneurial learning highlights the importance of experience and prior knowledge to entrepreneurial success. However, a conundrum remains and we are still seeking answers as to why some novice entrepreneurs learn successfully from their experiences and succeed, while some experienced entrepreneurs fail with their ventures. In order to advance the discussion about the role of experience during entrepreneurial learning, our critical reflection aims to (1) highlight some of the shortcomings of experiential learning theory (ELT) and (2) illustrate how alternative theoretical perspectives have the potential to advance our conceptual understanding of entrepreneurial learning processes. We argue for an explanation of entrepreneurial learning as a dynamic and self-regulated process that relies on planning, monitoring, and self-reflection. author: - first_name: Alexander Paul full_name: Fust, Alexander Paul last_name: Fust - first_name: Tobias full_name: Jenert, Tobias id: '71994' last_name: Jenert orcid: ' https://orcid.org/0000-0001-9262-5646' - first_name: Christoph full_name: Winkler, Christoph last_name: Winkler citation: ama: 'Fust AP, Jenert T, Winkler C. Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes. Entrepreneurship Research Journal. 2018;8(2):1-11.' apa: 'Fust, A. P., Jenert, T., & Winkler, C. (2018). Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes. Entrepreneurship Research Journal, 8(2), 1–11.' bibtex: '@article{Fust_Jenert_Winkler_2018, title={Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes}, volume={8}, number={2}, journal={Entrepreneurship Research Journal}, publisher={de @Gruyter}, author={Fust, Alexander Paul and Jenert, Tobias and Winkler, Christoph}, year={2018}, pages={1–11} }' chicago: 'Fust, Alexander Paul, Tobias Jenert, and Christoph Winkler. “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes.” Entrepreneurship Research Journal 8, no. 2 (2018): 1–11.' ieee: 'A. P. Fust, T. Jenert, and C. Winkler, “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes,” Entrepreneurship Research Journal, vol. 8, no. 2, pp. 1–11, 2018.' mla: 'Fust, Alexander Paul, et al. “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes.” Entrepreneurship Research Journal, vol. 8, no. 2, de @Gruyter, 2018, pp. 1–11.' short: A.P. Fust, T. Jenert, C. Winkler, Entrepreneurship Research Journal 8 (2018) 1–11. date_created: 2018-09-18T08:47:00Z date_updated: 2024-03-21T14:43:08Z department: - _id: '208' - _id: '282' intvolume: ' 8' issue: '2' keyword: - entrepreneurial learning - experiential learning - self-regulated learning language: - iso: eng page: 1-11 publication: Entrepreneurship Research Journal publication_identifier: unknown: - 2194-6175 publisher: de @Gruyter quality_controlled: '1' status: public title: 'Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes' type: journal_article user_id: '71994' volume: 8 year: '2018' ...