[{"citation":{"apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Distributed gradient-based optimization in the presence of dependent aperiodic communication. In arXiv:2201.11343.","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent aperiodic communication,” arXiv:2201.11343. 2022.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.","short":"A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).","mla":"Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.","ama":"Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the presence of dependent aperiodic communication. arXiv:220111343. Published online 2022.","bibtex":"@article{Redder_Ramaswamy_Karl_2022, title={Distributed gradient-based optimization in the presence of dependent aperiodic communication}, journal={arXiv:2201.11343}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }"},"publication":"arXiv:2201.11343","project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"}],"abstract":[{"text":"Iterative distributed optimization algorithms involve multiple agents that\r\ncommunicate with each other, over time, in order to minimize/maximize a global\r\nobjective. In the presence of unreliable communication networks, the\r\nAge-of-Information (AoI), which measures the freshness of data received, may be\r\nlarge and hence hinder algorithmic convergence. In this paper, we study the\r\nconvergence of general distributed gradient-based optimization algorithms in\r\nthe presence of communication that neither happens periodically nor at\r\nstochastically independent points in time. We show that convergence is\r\nguaranteed provided the random variables associated with the AoI processes are\r\nstochastically dominated by a random variable with finite first moment. This\r\nimproves on previous requirements of boundedness of more than the first moment.\r\nWe then introduce stochastically strongly connected (SSC) networks, a new\r\nstochastic form of strong connectedness for time-varying networks. We show: If\r\nfor any $p \\ge0$ the processes that describe the success of communication\r\nbetween agents in a SSC network are $\\alpha$-mixing with $n^{p-1}\\alpha(n)$\r\nsummable, then the associated AoI processes are stochastically dominated by a\r\nrandom variable with finite $p$-th moment. In combination with our first\r\ncontribution, this implies that distributed stochastic gradient descend\r\nconverges in the presence of AoI, if $\\alpha(n)$ is summable.","lang":"eng"}],"date_created":"2022-04-06T06:53:38Z","external_id":{"arxiv":["2201.11343"]},"department":[{"_id":"75"}],"type":"preprint","author":[{"last_name":"Redder","orcid":"https://orcid.org/0000-0001-7391-4688","first_name":"Adrian","full_name":"Redder, Adrian","id":"52265"},{"orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan","last_name":"Ramaswamy","full_name":"Ramaswamy, Arunselvan","id":"66937"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}],"status":"public","title":"Distributed gradient-based optimization in the presence of dependent aperiodic communication","year":"2022","date_updated":"2022-11-18T09:33:01Z","_id":"30790","language":[{"iso":"eng"}],"user_id":"477"},{"language":[{"iso":"eng"}],"_id":"31806","user_id":"477","doi":"10.1145/3511095.3531287","ddc":["000"],"title":"ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning","status":"public","year":"2022","author":[{"full_name":"Dreßler, Kevin","first_name":"Kevin","last_name":"Dreßler","id":"78256"},{"first_name":"Mohamed","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234"},{"id":"65716","first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"conference":{"location":"Barcelona (Spain)","start_date":"2022-06-28","name":"HT ’22: 33rd ACM Conference on Hypertext and Social Media","end_date":"2022-07-01"},"date_updated":"2022-11-18T10:11:38Z","date_created":"2022-06-08T08:47:33Z","type":"conference","keyword":["2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba"],"department":[{"_id":"34"}],"publication":"Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia","citation":{"short":"K. Dreßler, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia, 2022.","chicago":"Dreßler, Kevin, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-Expression Learning.” In Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia, 2022. https://doi.org/10.1145/3511095.3531287.","ieee":"K. Dreßler, M. Sherif, and A.-C. Ngonga Ngomo, “ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning,” presented at the HT ’22: 33rd ACM Conference on Hypertext and Social Media, Barcelona (Spain), 2022, doi: 10.1145/3511095.3531287.","apa":"Dreßler, K., Sherif, M., & Ngonga Ngomo, A.-C. (2022). ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning. Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia. HT ’22: 33rd ACM Conference on Hypertext and Social Media, Barcelona (Spain). https://doi.org/10.1145/3511095.3531287","bibtex":"@inproceedings{Dreßler_Sherif_Ngonga Ngomo_2022, title={ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning}, DOI={10.1145/3511095.3531287}, booktitle={Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia}, author={Dreßler, Kevin and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2022} }","ama":"Dreßler K, Sherif M, Ngonga Ngomo A-C. ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression Learning. In: Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia. ; 2022. doi:10.1145/3511095.3531287","mla":"Dreßler, Kevin, et al. “ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-Expression Learning.” Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia, 2022, doi:10.1145/3511095.3531287."},"abstract":[{"text":"The creation of an RDF knowledge graph for a particular application commonly involves a pipeline of tools that transform a set ofinput data sources into an RDF knowledge graph in a process called dataset augmentation. The components of such augmentation pipelines often require extensive configuration to lead to satisfactory results. Thus, non-experts are often unable to use them. Wepresent an efficient supervised algorithm based on genetic programming for learning knowledge graph augmentation pipelines of arbitrary length. Our approach uses multi-expression learning to learn augmentation pipelines able to achieve a high F-measure on the training data. Our evaluation suggests that our approach can efficiently learn a larger class of RDF dataset augmentation tasks than the state of the art while using only a single training example. Even on the most complex augmentation problem we posed, our approach consistently achieves an average F1-measure of 99% in under 500 iterations with an average runtime of 16 seconds","lang":"eng"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - B2: SFB 901 - Subproject B2"}]},{"publisher":"Elsevier","_id":"32854","page":"133–138","volume":55,"ddc":["006"],"user_id":"477","conference":{"name":"IFAC Conference on Networked Systems"},"status":"public","has_accepted_license":"1","citation":{"bibtex":"@article{Redder_Ramaswamy_Karl_2022, title={Practical Network Conditions for the Convergence of Distributed Optimization}, volume={55}, number={13}, journal={IFAC-PapersOnLine}, publisher={Elsevier}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022}, pages={133–138} }","ama":"Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.","mla":"Redder, Adrian, et al. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier, 2022, pp. 133–138.","short":"A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine 55, no. 13 (2022): 133–138.","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no. 13, pp. 133–138, 2022.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13), 133–138."},"file_date_updated":"2022-08-31T07:06:30Z","project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"}],"language":[{"iso":"eng"}],"author":[{"full_name":"Redder, Adrian","last_name":"Redder","orcid":"https://orcid.org/0000-0001-7391-4688","first_name":"Adrian","id":"52265"},{"last_name":"Ramaswamy","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","id":"66937"},{"id":"126","first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger"}],"title":"Practical Network Conditions for the Convergence of Distributed Optimization","year":"2022","intvolume":" 55","date_updated":"2022-11-18T10:05:14Z","date_created":"2022-08-16T09:12:55Z","file":[{"date_created":"2022-08-31T07:06:30Z","creator":"aredder","content_type":"application/pdf","success":1,"file_id":"33236","date_updated":"2022-08-31T07:06:30Z","relation":"main_file","file_size":298395,"access_level":"closed","file_name":"NecSys2022____Practical_Conditions_for_Conv.pdf"}],"department":[{"_id":"75"}],"type":"journal_article","publication":"IFAC-PapersOnLine","issue":"13"},{"type":"conference","department":[{"_id":"78"}],"place":"New York, NY, United States","date_created":"2022-09-02T11:47:17Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C2: SFB 901 - Subproject C2","_id":"14"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"}],"publication":"GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion","citation":{"ieee":"T. Hansmeier, M. Brede, and M. Platzner, “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion,” in GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Boston, MA, USA, 2022, pp. 2071–2079, doi: 10.1145/3520304.3533977.","apa":"Hansmeier, T., Brede, M., & Platzner, M. (2022). XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2071–2079. https://doi.org/10.1145/3520304.3533977","chicago":"Hansmeier, Tim, Mathis Brede, and Marco Platzner. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.” In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2071–79. New York, NY, United States: Association for Computing Machinery (ACM), 2022. https://doi.org/10.1145/3520304.3533977.","short":"T. Hansmeier, M. Brede, M. Platzner, in: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2022, pp. 2071–2079.","mla":"Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.” GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.","bibtex":"@inproceedings{Hansmeier_Brede_Platzner_2022, place={New York, NY, United States}, title={XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion}, DOI={10.1145/3520304.3533977}, booktitle={GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim and Brede, Mathis and Platzner, Marco}, year={2022}, pages={2071–2079} }","ama":"Hansmeier T, Brede M, Platzner M. XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion. In: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2022:2071-2079. doi:10.1145/3520304.3533977"},"doi":"10.1145/3520304.3533977","user_id":"477","page":"2071-2079","_id":"33253","language":[{"iso":"eng"}],"publisher":"Association for Computing Machinery (ACM)","date_updated":"2022-11-18T10:13:22Z","publication_status":"published","year":"2022","title":"XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion","status":"public","conference":{"location":"Boston, MA, USA","start_date":"2022-07-09","name":"International Workshop on Learning Classifier Systems (IWLCS 2022)","end_date":"2022-07-13"},"author":[{"id":"49992","full_name":"Hansmeier, Tim","last_name":"Hansmeier","first_name":"Tim","orcid":"0000-0003-1377-3339"},{"full_name":"Brede, Mathis","last_name":"Brede","first_name":"Mathis"},{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"}]},{"user_id":"71269","_id":"34152","language":[{"iso":"ger"}],"publisher":"Europäische Forschungsgesellschaft für Blechverarbeitung e.V. ","date_updated":"2022-11-28T14:32:07Z","publication_status":"published","conference":{"location":"Rostock","name":"12. Kolloquium Gemeinsame Forschung zur Mechanischen Fügetechnik","start_date":"2022-11-23","end_date":"2022-11-24"},"author":[{"orcid":"0000-0002-8652-9209","first_name":"Mortaza","last_name":"Otroshi","full_name":"Otroshi, Mortaza","id":"71269"},{"id":"32056","orcid":"0000-0002-2763-1246","last_name":"Meschut","first_name":"Gerson","full_name":"Meschut, Gerson"}],"year":"2022","status":"public","title":"Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung","department":[{"_id":"157"}],"type":"conference","date_created":"2022-11-28T14:27:50Z","citation":{"apa":"Otroshi, M., & Meschut, G. (2022). Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung. 12. Kolloquium Gemeinsame Forschung zur Mechanischen Fügetechnik, Rostock.","ieee":"M. Otroshi and G. Meschut, “Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung,” presented at the 12. Kolloquium Gemeinsame Forschung zur Mechanischen Fügetechnik, Rostock, 2022.","chicago":"Otroshi, Mortaza, and Gerson Meschut. “Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung.” Europäische Forschungsgesellschaft für Blechverarbeitung e.V. , 2022.","short":"M. Otroshi, G. Meschut, in: Europäische Forschungsgesellschaft für Blechverarbeitung e.V. , 2022.","mla":"Otroshi, Mortaza, and Gerson Meschut. Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung. Europäische Forschungsgesellschaft für Blechverarbeitung e.V. , 2022.","ama":"Otroshi M, Meschut G. Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung. In: Europäische Forschungsgesellschaft für Blechverarbeitung e.V. ; 2022.","bibtex":"@inproceedings{Otroshi_Meschut_2022, title={Methodenentwicklung zur Verbesserung der Schädigungsmodellierung in der numerischen 3D-Belastungssimulation mechanischer Fügeverfahren unter Berücksichtigung der fügeinduzierten Vorbeanspruchung}, publisher={Europäische Forschungsgesellschaft für Blechverarbeitung e.V. }, author={Otroshi, Mortaza and Meschut, Gerson}, year={2022} }"}},{"oa":"1","project":[{"name":"TRR 285: TRR 285","_id":"130","grant_number":"418701707"},{"_id":"132","name":"TRR 285 - B: TRR 285 - Project Area B"},{"_id":"144","name":"TRR 285 – B05: TRR 285 - Subproject B05"}],"citation":{"ama":"Zirngibl C, Schleich B, Wartzack S. Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels. AI. 2022;3(4):990-1006. doi:10.3390/ai3040059","bibtex":"@article{Zirngibl_Schleich_Wartzack_2022, title={Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels}, volume={3}, DOI={10.3390/ai3040059}, number={4}, journal={AI}, publisher={MDPI AG}, author={Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}, year={2022}, pages={990–1006} }","mla":"Zirngibl, Christoph, et al. “Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels.” AI, vol. 3, no. 4, MDPI AG, 2022, pp. 990–1006, doi:10.3390/ai3040059.","chicago":"Zirngibl, Christoph, Benjamin Schleich, and Sandro Wartzack. “Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels.” AI 3, no. 4 (2022): 990–1006. https://doi.org/10.3390/ai3040059.","short":"C. Zirngibl, B. Schleich, S. Wartzack, AI 3 (2022) 990–1006.","apa":"Zirngibl, C., Schleich, B., & Wartzack, S. (2022). Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels. AI, 3(4), 990–1006. https://doi.org/10.3390/ai3040059","ieee":"C. Zirngibl, B. Schleich, and S. Wartzack, “Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels,” AI, vol. 3, no. 4, pp. 990–1006, 2022, doi: 10.3390/ai3040059."},"user_id":"7850","volume":3,"page":"990-1006","_id":"34417","publisher":"MDPI AG","status":"public","keyword":["Industrial and Manufacturing Engineering"],"type":"journal_article","date_created":"2022-12-14T12:32:29Z","abstract":[{"lang":"eng","text":"Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joining processes, such as clinching, enable assembly sheet metals to achieve strength properties similar to those of established thermal joining technologies. However, to guarantee a high reliability of the generated joint connection, the selection of a best-fitting joining technology as well as the meaningful description of individual joint properties is essential. In the context of clinching, few contributions have to date investigated the metamodel-based estimation and optimization of joint characteristics, such as neck or interlock thickness, by applying machine learning and genetic algorithms. Therefore, several regression models have been trained on varying databases and amounts of input parameters. However, if product engineers can only provide limited data for a new joining task, such as incomplete information on applied joining tool dimensions, previously trained metamodels often reach their limits. This often results in a significant loss of prediction quality and leads to increasing uncertainties and inaccuracies within the metamodel-based design of a clinch joint connection. Motivated by this, the presented contribution investigates different machine learning algorithms regarding their ability to achieve a satisfying estimation accuracy on limited input data applying a statistically based feature selection method. Through this, it is possible to identify which regression models are suitable to predict clinch joint characteristics considering only a minimum set of required input features. Thus, in addition to the opportunity to decrease the training effort as well as the model complexity, the subsequent formulation of design equations can pave the way to a more versatile application and reuse of pretrained metamodels on varying tool configurations for a given clinch joining task."}],"issue":"4","publication":"AI","doi":"10.3390/ai3040059","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2673-2688/3/4/59"}],"language":[{"iso":"eng"}],"date_updated":"2022-12-14T13:43:53Z","publication_status":"published","intvolume":" 3","year":"2022","title":"Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels","publication_identifier":{"issn":["2673-2688"]},"author":[{"first_name":"Christoph","last_name":"Zirngibl","full_name":"Zirngibl, Christoph"},{"full_name":"Schleich, Benjamin","first_name":"Benjamin","last_name":"Schleich"},{"first_name":"Sandro","last_name":"Wartzack","full_name":"Wartzack, Sandro"}]},{"user_id":"32643","main_file_link":[{"url":"https://arxiv.org/pdf/2210.04579","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"34618","date_updated":"2022-12-20T15:28:54Z","status":"public","title":"Using second-order information in gradient sampling methods for nonsmooth optimization","year":"2022","author":[{"full_name":"Gebken, Bennet","last_name":"Gebken","first_name":"Bennet","id":"32643"}],"type":"preprint","department":[{"_id":"101"}],"oa":"1","external_id":{"arxiv":["2210.04579"]},"date_created":"2022-12-20T15:25:17Z","abstract":[{"lang":"eng","text":"In this article, we show how second-order derivative information can be\r\nincorporated into gradient sampling methods for nonsmooth optimization. The\r\nsecond-order information we consider is essentially the set of coefficients of\r\nall second-order Taylor expansions of the objective in a closed ball around a\r\ngiven point. Based on this concept, we define a model of the objective as the\r\nmaximum of these Taylor expansions. Iteratively minimizing this model\r\n(constrained to the closed ball) results in a simple descent method, for which\r\nwe prove convergence to minimal points in case the objective is convex. To\r\nobtain an implementable method, we construct an approximation scheme for the\r\nsecond-order information based on sampling objective values, gradients and\r\nHessian matrices at finitely many points. Using a set of test problems, we\r\ncompare the resulting method to five other available solvers. Considering the\r\nnumber of function evaluations, the results suggest that the method we propose\r\nis superior to the standard gradient sampling method, and competitive compared\r\nto other methods."}],"publication":"arXiv:2210.04579","citation":{"chicago":"Gebken, Bennet. “Using Second-Order Information in Gradient Sampling Methods for Nonsmooth Optimization.” ArXiv:2210.04579, 2022.","short":"B. Gebken, ArXiv:2210.04579 (2022).","apa":"Gebken, B. (2022). Using second-order information in gradient sampling methods for nonsmooth optimization. In arXiv:2210.04579.","ieee":"B. Gebken, “Using second-order information in gradient sampling methods for nonsmooth optimization,” arXiv:2210.04579. 2022.","ama":"Gebken B. Using second-order information in gradient sampling methods for nonsmooth optimization. arXiv:221004579. Published online 2022.","bibtex":"@article{Gebken_2022, title={Using second-order information in gradient sampling methods for nonsmooth optimization}, journal={arXiv:2210.04579}, author={Gebken, Bennet}, year={2022} }","mla":"Gebken, Bennet. “Using Second-Order Information in Gradient Sampling Methods for Nonsmooth Optimization.” ArXiv:2210.04579, 2022."}},{"conference":{"location":"Online Konferenz","name":"22. Kolloquium Gemeinsame Forschung in der Klebtechnik, 2022","start_date":"2022-02-15","end_date":"2022-02-16"},"corporate_editor":["DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V."],"author":[{"last_name":"Sander","first_name":"Sascha","full_name":"Sander, Sascha","id":"23175"},{"last_name":"Teutenberg","first_name":"Dominik","full_name":"Teutenberg, Dominik","id":"537"},{"id":"32056","full_name":"Meschut, Gerson","orcid":"0000-0002-2763-1246","last_name":"Meschut","first_name":"Gerson"},{"first_name":"Fabian","last_name":"Kötz","full_name":"Kötz, Fabian"},{"first_name":"Anton","last_name":"Matzenmiller","full_name":"Matzenmiller, Anton"},{"full_name":"Kasper, Yann","first_name":"Yann","last_name":"Kasper"},{"full_name":"Ummenhofer, Thomas","last_name":"Ummenhofer","first_name":"Thomas"}],"year":"2022","status":"public","title":"Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau ","date_updated":"2022-01-14T08:08:37Z","publication_status":"inpress","language":[{"iso":"ger"}],"_id":"29342","user_id":"23175","citation":{"chicago":"Sander, Sascha, Dominik Teutenberg, Gerson Meschut, Fabian Kötz, Anton Matzenmiller, Yann Kasper, and Thomas Ummenhofer. “Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau .” In 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, edited by DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. Digital, n.d.","short":"S. Sander, D. Teutenberg, G. Meschut, F. Kötz, A. Matzenmiller, Y. Kasper, T. Ummenhofer, in: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.), 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, Digital, n.d.","ieee":"S. Sander et al., “Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau ,” in 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, Online Konferenz.","apa":"Sander, S., Teutenberg, D., Meschut, G., Kötz, F., Matzenmiller, A., Kasper, Y., & Ummenhofer, T. (n.d.). Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau . In DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.), 22. Kolloquium Gemeinsame Forschung in der Klebtechnik.","bibtex":"@inproceedings{Sander_Teutenberg_Meschut_Kötz_Matzenmiller_Kasper_Ummenhofer, place={Digital}, title={Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau }, booktitle={22. Kolloquium Gemeinsame Forschung in der Klebtechnik}, author={Sander, Sascha and Teutenberg, Dominik and Meschut, Gerson and Kötz, Fabian and Matzenmiller, Anton and Kasper, Yann and Ummenhofer, Thomas}, editor={DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V.} }","ama":"Sander S, Teutenberg D, Meschut G, et al. Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau . In: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V., ed. 22. Kolloquium Gemeinsame Forschung in der Klebtechnik.","mla":"Sander, Sascha, et al. “Methodenentwicklung zur rechnerischen Auslegung geklebter Stahlverbindungen unter Alterungsbeanspruchung im Stahl- und Anlagenbau .” 22. Kolloquium Gemeinsame Forschung in der Klebtechnik, edited by DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V."},"publication":"22. Kolloquium Gemeinsame Forschung in der Klebtechnik","place":"Digital","date_created":"2022-01-14T08:06:52Z","department":[{"_id":"157"}],"type":"conference"},{"status":"public","title":"The Scale4Edge RISC-V Ecosystem","year":"2022","conference":{"start_date":"14.03.2022","end_date":"15.03.2022"},"author":[{"full_name":"Ecker, Wolfgang","last_name":"Ecker","first_name":"Wolfgang"},{"last_name":"Adelt","first_name":"Peer","full_name":"Adelt, Peer","id":"5603"},{"id":"16243","full_name":"Müller, Wolfgang","first_name":"Wolfgang","last_name":"Müller"},{"last_name":"Heckmann","first_name":"Reinhold","full_name":"Heckmann, Reinhold"},{"last_name":"Krstic","first_name":"Milos","full_name":"Krstic, Milos"},{"full_name":"Herdt, Vladimir","last_name":"Herdt","first_name":"Vladimir"},{"first_name":"Rolf","last_name":"Drechsler","full_name":"Drechsler, Rolf"},{"full_name":"Angst, Gerhard","first_name":"Gerhard","last_name":"Angst"},{"last_name":"Wimmer","first_name":"Ralf","full_name":"Wimmer, Ralf"},{"full_name":"Mauderer, Andreas","first_name":"Andreas","last_name":"Mauderer"},{"full_name":"Stahl, Rafael","first_name":"Rafael","last_name":"Stahl"},{"full_name":"Emrich, Karsten","first_name":"Karsten","last_name":"Emrich"},{"first_name":"Daniel","last_name":"Mueller-Gritschneder","full_name":"Mueller-Gritschneder, Daniel"},{"full_name":"Becker, Bernd","last_name":"Becker","first_name":"Bernd"},{"last_name":"Scholl","first_name":"Philipp","full_name":"Scholl, Philipp"},{"full_name":"Jentzsch, Eyck","last_name":"Jentzsch","first_name":"Eyck"},{"first_name":"Jan","last_name":"Schlamelcher","full_name":"Schlamelcher, Jan"},{"full_name":"Grüttner, Kim","last_name":"Grüttner","first_name":"Kim"},{"last_name":"Bernardo","first_name":"Paul Palomero","full_name":"Bernardo, Paul Palomero"},{"full_name":"Brinkmann, Oliver","first_name":"Oliver","last_name":"Brinkmann"},{"first_name":"Mihaela","last_name":"Damian","full_name":"Damian, Mihaela"},{"full_name":"Oppermann, Julian","last_name":"Oppermann","first_name":"Julian"},{"full_name":"Koch, Andreas","last_name":"Koch","first_name":"Andreas"},{"full_name":"Bormann, Jörg","last_name":"Bormann","first_name":"Jörg"},{"full_name":"Partzsch, Johannes","last_name":"Partzsch","first_name":"Johannes"},{"full_name":"Mayr, Christian","first_name":"Christian","last_name":"Mayr"},{"full_name":"Kunz, Wolfgang","last_name":"Kunz","first_name":"Wolfgang"}],"date_updated":"2022-01-13T07:30:38Z","_id":"29302","language":[{"iso":"eng"}],"user_id":"15931","publication":"In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)","citation":{"short":"W. Ecker, P. Adelt, W. Müller, R. Heckmann, M. Krstic, V. Herdt, R. Drechsler, G. Angst, R. Wimmer, A. Mauderer, R. Stahl, K. Emrich, D. Mueller-Gritschneder, B. Becker, P. Scholl, E. Jentzsch, J. Schlamelcher, K. Grüttner, P.P. Bernardo, O. Brinkmann, M. Damian, J. Oppermann, A. Koch, J. Bormann, J. Partzsch, C. Mayr, W. Kunz, in: In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022), 2022.","chicago":"Ecker, Wolfgang, Peer Adelt, Wolfgang Müller, Reinhold Heckmann, Milos Krstic, Vladimir Herdt, Rolf Drechsler, et al. “The Scale4Edge RISC-V Ecosystem.” In In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022), 2022.","apa":"Ecker, W., Adelt, P., Müller, W., Heckmann, R., Krstic, M., Herdt, V., Drechsler, R., Angst, G., Wimmer, R., Mauderer, A., Stahl, R., Emrich, K., Mueller-Gritschneder, D., Becker, B., Scholl, P., Jentzsch, E., Schlamelcher, J., Grüttner, K., Bernardo, P. P., … Kunz, W. (2022). The Scale4Edge RISC-V Ecosystem. In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022).","ieee":"W. Ecker et al., “The Scale4Edge RISC-V Ecosystem,” 2022.","ama":"Ecker W, Adelt P, Müller W, et al. The Scale4Edge RISC-V Ecosystem. In: In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022). ; 2022.","bibtex":"@inproceedings{Ecker_Adelt_Müller_Heckmann_Krstic_Herdt_Drechsler_Angst_Wimmer_Mauderer_et al._2022, title={The Scale4Edge RISC-V Ecosystem}, booktitle={In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)}, author={Ecker, Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic, Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf and Mauderer, Andreas and et al.}, year={2022} }","mla":"Ecker, Wolfgang, et al. “The Scale4Edge RISC-V Ecosystem.” In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022), 2022."},"abstract":[{"text":"This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We describe the basic components of this ecosystem and introduce the envisioned\r\ndemonstrators, which will be used in their evaluation.","lang":"eng"}],"date_created":"2022-01-13T07:27:46Z","type":"conference","department":[{"_id":"58"}]},{"date_updated":"2022-05-31T07:05:50Z","status":"public","title":"Kronecker Decomposition for Knowledge Graph Embeddings","year":"2022","author":[{"id":"43817","last_name":"Demir","first_name":"Caglar","full_name":"Demir, Caglar"},{"id":"44040","full_name":"Lienen, Julian","first_name":"Julian","last_name":"Lienen"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"user_id":"44040","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2205.06560"}],"language":[{"iso":"eng"}],"_id":"31545","abstract":[{"lang":"eng","text":"Knowledge graph embedding research has mainly focused on learning continuous representations of entities and relations tailored towards the link prediction problem. Recent results indicate an ever increasing predictive ability of current approaches on benchmark datasets. However, this effectiveness often comes with the cost of over-parameterization and increased computationally complexity. The former induces extensive hyperparameter optimization to mitigate malicious overfitting. The latter magnifies the importance of winning the hardware lottery. Here, we investigate a remedy for the first problem. We propose a technique based on Kronecker decomposition to reduce the number of parameters in a knowledge graph embedding model, while retaining its expressiveness. Through Kronecker decomposition, large embedding matrices are split into smaller embedding matrices during the training process. Hence, embeddings of knowledge graphs are not plainly retrieved but reconstructed on the fly. The decomposition ensures that elementwise interactions between three embedding vectors are extended with interactions within each embedding vector. This implicitly reduces redundancy in embedding vectors and encourages feature reuse. To quantify the impact of applying Kronecker decomposition on embedding matrices, we conduct a series of experiments on benchmark datasets. Our experiments suggest that applying Kronecker decomposition on embedding matrices leads to an improved parameter efficiency on all benchmark datasets. Moreover, empirical evidence suggests that reconstructed embeddings entail robustness against noise in the input knowledge graph. To foster reproducible research, we provide an open-source implementation of our approach, including training and evaluation scripts as well as pre-trained models in our knowledge graph embedding framework."}],"publication":"arXiv:2205.06560","citation":{"mla":"Demir, Caglar, et al. “Kronecker Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.","ama":"Demir C, Lienen J, Ngonga Ngomo A-C. Kronecker Decomposition for Knowledge Graph Embeddings. arXiv:220506560. Published online 2022.","bibtex":"@article{Demir_Lienen_Ngonga Ngomo_2022, title={Kronecker Decomposition for Knowledge Graph Embeddings}, journal={arXiv:2205.06560}, author={Demir, Caglar and Lienen, Julian and Ngonga Ngomo, Axel-Cyrille}, year={2022} }","apa":"Demir, C., Lienen, J., & Ngonga Ngomo, A.-C. (2022). Kronecker Decomposition for Knowledge Graph Embeddings. In arXiv:2205.06560.","ieee":"C. Demir, J. Lienen, and A.-C. Ngonga Ngomo, “Kronecker Decomposition for Knowledge Graph Embeddings,” arXiv:2205.06560. 2022.","chicago":"Demir, Caglar, Julian Lienen, and Axel-Cyrille Ngonga Ngomo. “Kronecker Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.","short":"C. Demir, J. Lienen, A.-C. Ngonga Ngomo, ArXiv:2205.06560 (2022)."},"type":"preprint","oa":"1","date_created":"2022-05-31T07:04:36Z"},{"status":"public","year":"2022","title":"Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization","author":[{"id":"32643","last_name":"Gebken","first_name":"Bennet","full_name":"Gebken, Bennet"}],"date_updated":"2022-06-01T07:13:09Z","main_file_link":[{"url":"https://digital.ub.uni-paderborn.de/hs/download/pdf/6531779","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"31556","user_id":"32643","doi":"10.17619/UNIPB/1-1327","citation":{"mla":"Gebken, Bennet. Computation and Analysis of Pareto Critical Sets in Smooth and Nonsmooth Multiobjective Optimization. 2022, doi:10.17619/UNIPB/1-1327.","bibtex":"@book{Gebken_2022, title={Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization}, DOI={10.17619/UNIPB/1-1327}, author={Gebken, Bennet}, year={2022} }","ama":"Gebken B. Computation and Analysis of Pareto Critical Sets in Smooth and Nonsmooth Multiobjective Optimization.; 2022. doi:10.17619/UNIPB/1-1327","ieee":"B. Gebken, Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization. 2022.","apa":"Gebken, B. (2022). Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization. https://doi.org/10.17619/UNIPB/1-1327","chicago":"Gebken, Bennet. Computation and Analysis of Pareto Critical Sets in Smooth and Nonsmooth Multiobjective Optimization, 2022. https://doi.org/10.17619/UNIPB/1-1327.","short":"B. Gebken, Computation and Analysis of Pareto Critical Sets in Smooth and Nonsmooth Multiobjective Optimization, 2022."},"supervisor":[{"last_name":"Dellnitz","first_name":"Michael","full_name":"Dellnitz, Michael"}],"abstract":[{"lang":"ger","text":"Mehrzieloptimierung behandelt Probleme, bei denen mehrere skalare Zielfunktionen simultan optimiert werden sollen. Ein Punkt ist in diesem Fall optimal, wenn es keinen anderen Punkt gibt, der mindestens genauso gut ist in allen Zielfunktionen und besser in mindestens einer Zielfunktion. Ein notwendiges Optimalitätskriterium lässt sich über Ableitungsinformationen erster Ordnung der Zielfunktionen herleiten. Die Menge der Punkte, die dieses notwendige Kriterium erfüllen, wird als Pareto-kritische Menge bezeichnet. Diese Arbeit enthält neue Resultate über Pareto-kritische Mengen für glatte und nicht-glatte Mehrzieloptimierungsprobleme, sowohl was deren Berechnung betrifft als auch deren Struktur. Im glatten Fall erfolgt die Berechnung über ein Fortsetzungsverfahren, im nichtglatten Fall über ein Abstiegsverfahren. Anschließend wird die Struktur des Randes der Pareto-kritischen Menge analysiert, welcher aus Pareto-kritischen Mengen kleinerer Subprobleme besteht. Schlussendlich werden inverse Probleme betrachtet, bei denen zu einer gegebenen Datenmenge ein Zielfunktionsvektor gefunden werden soll, für den die Datenpunkte kritisch sind."},{"text":"Multiobjective optimization is concerned with the simultaneous optimization of multiple scalar-valued functions. In this case, a point is optimal if there is no other point that is at least as good in all objectives and better in at least one objective. A necessary condition for optimality can be derived based on first-order information of the objectives. The set of points that satisfy this necessary condition is called the Pareto critical set. This thesis presents new results about Pareto critical sets for smooth and nonsmooth multiobjective optimization problems, both in terms of their efficient computation and structural properties. In the smooth case they are computed via a continuation method and in the nonsmooth case via a descent method. Afterwards, the structure of the boundary of the Pareto critical set is analyzed, which consists of Pareto critical sets of smaller subproblems. Finally, inverse problems are considered, where a data set is given and an objective vector is sought for which the data points are critical.","lang":"eng"}],"date_created":"2022-06-01T06:48:08Z","type":"dissertation","department":[{"_id":"101"}],"oa":"1"},{"citation":{"apa":"Kroke, A., Schmidt, A., Amini, A. M., Kalotai, N., Lehmann, A., Haardt, J., Bauer, J. M., Bischoff-Ferrari, H. A., Boeing, H., Egert, S., Ellinger, S., Kühn, T., Louis, S., Lorkowski, S., Nimptsch, K., Remer, T., Schulze, M. B., Siener, R., Stangl, G. I., … Schwingshackl, L. (2022). Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society. European Journal of Nutrition, 61(4), 2091–2101. https://doi.org/10.1007/s00394-021-02789-5","mla":"Kroke, Anja, et al. “Dietary Protein Intake and Health-Related Outcomes: A Methodological Protocol for the Evidence Evaluation and the Outline of an Evidence to Decision Framework Underlying the Evidence-Based Guideline of the German Nutrition Society.” European Journal of Nutrition, vol. 61, no. 4, Springer Science and Business Media LLC, 2022, pp. 2091–101, doi:10.1007/s00394-021-02789-5.","ieee":"A. Kroke et al., “Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society,” European Journal of Nutrition, vol. 61, no. 4, pp. 2091–2101, 2022, doi: 10.1007/s00394-021-02789-5.","ama":"Kroke A, Schmidt A, Amini AM, et al. Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society. European Journal of Nutrition. 2022;61(4):2091-2101. doi:10.1007/s00394-021-02789-5","short":"A. Kroke, A. Schmidt, A.M. Amini, N. Kalotai, A. Lehmann, J. Haardt, J.M. Bauer, H.A. Bischoff-Ferrari, H. Boeing, S. Egert, S. Ellinger, T. Kühn, S. Louis, S. Lorkowski, K. Nimptsch, T. Remer, M.B. Schulze, R. Siener, G.I. Stangl, D. Volkert, A. Zittermann, A.E. Buyken, B. Watzl, L. Schwingshackl, European Journal of Nutrition 61 (2022) 2091–2101.","chicago":"Kroke, Anja, Annemarie Schmidt, Anna M. Amini, Nicole Kalotai, Andreas Lehmann, Julia Haardt, Jürgen M. Bauer, et al. “Dietary Protein Intake and Health-Related Outcomes: A Methodological Protocol for the Evidence Evaluation and the Outline of an Evidence to Decision Framework Underlying the Evidence-Based Guideline of the German Nutrition Society.” European Journal of Nutrition 61, no. 4 (2022): 2091–2101. https://doi.org/10.1007/s00394-021-02789-5.","bibtex":"@article{Kroke_Schmidt_Amini_Kalotai_Lehmann_Haardt_Bauer_Bischoff-Ferrari_Boeing_Egert_et al._2022, title={Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society}, volume={61}, DOI={10.1007/s00394-021-02789-5}, number={4}, journal={European Journal of Nutrition}, publisher={Springer Science and Business Media LLC}, author={Kroke, Anja and Schmidt, Annemarie and Amini, Anna M. and Kalotai, Nicole and Lehmann, Andreas and Haardt, Julia and Bauer, Jürgen M. and Bischoff-Ferrari, Heike A. and Boeing, Heiner and Egert, Sarah and et al.}, year={2022}, pages={2091–2101} }"},"status":"public","user_id":"61597","volume":61,"page":"2091-2101","publisher":"Springer Science and Business Media LLC","_id":"33009","abstract":[{"text":"Abstract\r\n Purpose\r\n The present work aimed to delineate (i) a revised protocol according to recent methodological developments in evidence generation, to (ii) describe its interpretation, the assessment of the overall certainty of evidence and to (iii) outline an Evidence to Decision framework for deriving an evidence-based guideline on quantitative and qualitative aspects of dietary protein intake.\r\n \r\n Methods\r\n A methodological protocol to systematically investigate the association between dietary protein intake and several health outcomes and for deriving dietary protein intake recommendations for the primary prevention of various non-communicable diseases in the general adult population was developed.\r\n \r\n Results\r\n The developed methodological protocol relies on umbrella reviews including systematic reviews with or without meta-analyses. Systematic literature searches in three databases will be performed for each health-related outcome. The methodological quality of all selected systematic reviews will be evaluated using a modified version of AMSTAR 2, and the outcome-specific certainty of evidence for systematic reviews with or without meta-analysis will be assessed with NutriGrade. The general outline of the Evidence to Decision framework foresees that recommendations in the derived guideline will be given based on the overall certainty of evidence as well as on additional criteria such as sustainability.\r\n \r\n Conclusion\r\n The methodological protocol permits a systematic evaluation of published systematic reviews on dietary protein intake and its association with selected health-related outcomes. An Evidence to Decision framework will be the basis for the overall conclusions and the resulting recommendations for dietary protein intake.\r\n ","lang":"eng"}],"issue":"4","publication":"European Journal of Nutrition","keyword":["Nutrition and Dietetics","Medicine (miscellaneous)"],"type":"journal_article","department":[{"_id":"17"},{"_id":"22"},{"_id":"571"}],"date_created":"2022-08-18T10:36:12Z","publication_status":"published","date_updated":"2022-08-18T10:41:41Z","intvolume":" 61","year":"2022","title":"Dietary protein intake and health-related outcomes: a methodological protocol for the evidence evaluation and the outline of an evidence to decision framework underlying the evidence-based guideline of the German Nutrition Society","author":[{"full_name":"Kroke, Anja","first_name":"Anja","last_name":"Kroke"},{"last_name":"Schmidt","first_name":"Annemarie","full_name":"Schmidt, Annemarie"},{"full_name":"Amini, Anna M.","first_name":"Anna M.","last_name":"Amini"},{"first_name":"Nicole","last_name":"Kalotai","full_name":"Kalotai, Nicole"},{"last_name":"Lehmann","first_name":"Andreas","full_name":"Lehmann, Andreas"},{"full_name":"Haardt, Julia","last_name":"Haardt","first_name":"Julia"},{"first_name":"Jürgen M.","last_name":"Bauer","full_name":"Bauer, Jürgen M."},{"full_name":"Bischoff-Ferrari, Heike A.","last_name":"Bischoff-Ferrari","first_name":"Heike A."},{"full_name":"Boeing, Heiner","first_name":"Heiner","last_name":"Boeing"},{"full_name":"Egert, Sarah","first_name":"Sarah","last_name":"Egert"},{"last_name":"Ellinger","first_name":"Sabine","full_name":"Ellinger, Sabine"},{"first_name":"Tilman","last_name":"Kühn","full_name":"Kühn, Tilman"},{"full_name":"Louis, Sandrine","last_name":"Louis","first_name":"Sandrine"},{"full_name":"Lorkowski, Stefan","last_name":"Lorkowski","first_name":"Stefan"},{"first_name":"Katharina","last_name":"Nimptsch","full_name":"Nimptsch, Katharina"},{"full_name":"Remer, Thomas","last_name":"Remer","first_name":"Thomas"},{"full_name":"Schulze, Matthias B.","last_name":"Schulze","first_name":"Matthias B."},{"full_name":"Siener, Roswitha","first_name":"Roswitha","last_name":"Siener"},{"first_name":"Gabriele I.","last_name":"Stangl","full_name":"Stangl, Gabriele I."},{"full_name":"Volkert, Dorothee","first_name":"Dorothee","last_name":"Volkert"},{"full_name":"Zittermann, Armin","first_name":"Armin","last_name":"Zittermann"},{"id":"65985","last_name":"Buyken","first_name":"Anette E.","full_name":"Buyken, Anette E."},{"last_name":"Watzl","first_name":"Bernhard","full_name":"Watzl, Bernhard"},{"full_name":"Schwingshackl, Lukas","last_name":"Schwingshackl","first_name":"Lukas"}],"publication_identifier":{"issn":["1436-6207","1436-6215"]},"doi":"10.1007/s00394-021-02789-5","language":[{"iso":"eng"}]},{"status":"public","conference":{"location":"Saint Petersburg, Russia","start_date":"2021-08-17","name":"27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2021","end_date":"2021-08-19"},"user_id":"77313","editor":[{"full_name":"Orlova, Anna","first_name":"Anna","last_name":"Orlova"},{"last_name":"Cole","first_name":"David","full_name":"Cole, David"}],"publisher":"Springer","_id":"29934","quality_controlled":"1","citation":{"ieee":"L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,” in Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, Saint Petersburg, Russia, 2022, doi: 10.1007/978-3-031-07305-2_92.","apa":"Muth, L., Noll, C., & Sextro, W. (2022). Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In A. Orlova & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021. Springer. https://doi.org/10.1007/978-3-031-07305-2_92","short":"L. Muth, C. Noll, W. Sextro, in: A. Orlova, D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, Springer, Cham, 2022.","chicago":"Muth, Lars, Christian Noll, and Walter Sextro. “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.” In Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, edited by Anna Orlova and David Cole. Lecture Notes in Mechanical Engineering. Cham: Springer, 2022. https://doi.org/10.1007/978-3-031-07305-2_92.","mla":"Muth, Lars, et al. “Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.” Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, edited by Anna Orlova and David Cole, Springer, 2022, doi:10.1007/978-3-031-07305-2_92.","bibtex":"@inproceedings{Muth_Noll_Sextro_2022, place={Cham}, series={Lecture Notes in Mechanical Engineering}, title={Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}, DOI={10.1007/978-3-031-07305-2_92}, booktitle={Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021}, publisher={Springer}, author={Muth, Lars and Noll, Christian and Sextro, Walter}, editor={Orlova, Anna and Cole, David}, year={2022}, collection={Lecture Notes in Mechanical Engineering} }","ama":"Muth L, Noll C, Sextro W. Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In: Orlova A, Cole D, eds. Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021. Lecture Notes in Mechanical Engineering. Springer; 2022. doi:10.1007/978-3-031-07305-2_92"},"place":"Cham","publication_status":"published","date_updated":"2022-08-23T11:55:07Z","year":"2022","title":"Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data","author":[{"id":"77313","full_name":"Muth, Lars","orcid":"0000-0002-2938-5616","last_name":"Muth","first_name":"Lars"},{"first_name":"Christian","last_name":"Noll","full_name":"Noll, Christian"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter","id":"21220"}],"publication_identifier":{"isbn":["978-3-031-07304-5"],"eisbn":["978-3-031-07305-2"]},"doi":"10.1007/978-3-031-07305-2_92","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-07305-2_92"}],"language":[{"iso":"eng"}],"series_title":"Lecture Notes in Mechanical Engineering","abstract":[{"text":"Tire and road wear are a major source of emissions of nonexhaust particulate matter (PM) and make up the largest share of microplastics in the environment. To reduce tire wear through numerical optimization of a vehicle's suspension system, fast simulations of the representative usage of a vehicle are needed. Therefore, this contribution evaluates if instead of a full simulation of a representative test drive, only specific driving maneuvers resulting from a clustering of the driving data can be used to predict tire wear. As a measure for tire wear, the friction work between tire and road is calculated. It is shown that enough clusters result in negligible deviations between the total friction work of the full simulation and the cluster simulations as well as between the distributions of the friction work over the tire width. The calculation time can be reduced to about 1% of the full simulation.","lang":"eng"}],"publication":"Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021","type":"conference","keyword":["Tire Wear","Vehicle Dynamics","Clustering","Virtual Test"],"department":[{"_id":"151"}],"date_created":"2022-02-21T14:14:11Z"},{"publication":"Welding in the World","citation":{"ieee":"K. Gevers, A. Tornede, M. D. Wever, V. Schöppner, and E. Hüllermeier, “A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials,” Welding in the World, 2022, doi: 10.1007/s40194-022-01339-9.","apa":"Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., & Hüllermeier, E. (2022). A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. Welding in the World. https://doi.org/10.1007/s40194-022-01339-9","short":"K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding in the World (2022).","chicago":"Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner, and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” Welding in the World, 2022. https://doi.org/10.1007/s40194-022-01339-9.","mla":"Gevers, Karina, et al. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” Welding in the World, Springer Science and Business Media LLC, 2022, doi:10.1007/s40194-022-01339-9.","bibtex":"@article{Gevers_Tornede_Wever_Schöppner_Hüllermeier_2022, title={A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}, DOI={10.1007/s40194-022-01339-9}, journal={Welding in the World}, publisher={Springer Science and Business Media LLC}, author={Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik and Schöppner, Volker and Hüllermeier, Eyke}, year={2022} }","ama":"Gevers K, Tornede A, Wever MD, Schöppner V, Hüllermeier E. A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. Welding in the World. Published online 2022. doi:10.1007/s40194-022-01339-9"},"abstract":[{"lang":"eng","text":"AbstractHeated tool butt welding is a method often used for joining thermoplastics, especially when the components are made out of different materials. The quality of the connection between the components crucially depends on a suitable choice of the parameters of the welding process, such as heating time, temperature, and the precise way how the parts are then welded. Moreover, when different materials are to be joined, the parameter values need to be tailored to the specifics of the respective material. To this end, in this paper, three approaches to tailor the parameter values to optimize the quality of the connection are compared: a heuristic by Potente, statistical experimental design, and Bayesian optimization. With the suitability for practice in mind, a series of experiments are carried out with these approaches, and their capabilities of proposing well-performing parameter values are investigated. As a result, Bayesian optimization is found to yield peak performance, but the costs for optimization are substantial. In contrast, the Potente heuristic does not require any experimentation and recommends parameter values with competitive quality."}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - B2: SFB 901 - Subproject B2"}],"date_created":"2022-08-24T12:51:07Z","keyword":["Metals and Alloys","Mechanical Engineering","Mechanics of Materials"],"type":"journal_article","title":"A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials","status":"public","year":"2022","author":[{"id":"83151","last_name":"Gevers","first_name":"Karina","full_name":"Gevers, Karina"},{"id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede","first_name":"Alexander"},{"full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","first_name":"Marcel Dominik","id":"33176"},{"id":"20530","full_name":"Schöppner, Volker","first_name":"Volker","last_name":"Schöppner"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"publication_identifier":{"issn":["0043-2288","1878-6669"]},"date_updated":"2022-08-24T12:52:06Z","publication_status":"published","publisher":"Springer Science and Business Media LLC","_id":"33090","language":[{"iso":"eng"}],"doi":"10.1007/s40194-022-01339-9","user_id":"38209"},{"author":[{"id":"51701","full_name":"Berkemeier, Manuel Bastian","last_name":"Berkemeier","first_name":"Manuel Bastian"},{"id":"47427","full_name":"Peitz, Sebastian","last_name":"Peitz","first_name":"Sebastian","orcid":"0000-0002-3389-793X"}],"title":"Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients","status":"public","year":"2022","date_updated":"2022-08-26T06:12:10Z","language":[{"iso":"eng"}],"_id":"33150","main_file_link":[{"url":"https://arxiv.org/pdf/2208.12094","open_access":"1"}],"user_id":"47427","citation":{"ieee":"M. B. Berkemeier and S. Peitz, “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients,” arXiv:2208.12094. 2022.","apa":"Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.","short":"M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).","chicago":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.","mla":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.","bibtex":"@article{Berkemeier_Peitz_2022, title={Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients}, journal={arXiv:2208.12094}, author={Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2022} }","ama":"Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. arXiv:220812094. Published online 2022."},"publication":"arXiv:2208.12094","abstract":[{"text":"In this article, we build on previous work to present an optimization algorithm for nonlinearly constrained multi-objective optimization problems. The algorithm combines a surrogate-assisted derivative-free trust-region approach with the filter method known from single-objective optimization. Instead of the true objective and constraint functions, so-called fully linear models are employed and we show how to deal with the gradient inexactness in the composite step setting, adapted from single-objective optimization as well. Under standard assumptions, we prove convergence of a subset of iterates to a quasi-stationary point and if constraint qualifications hold, then the limit point is also a KKT-point of the multi-objective problem.","lang":"eng"}],"date_created":"2022-08-26T06:08:06Z","external_id":{"arxiv":["2208.12094"]},"oa":"1","department":[{"_id":"101"},{"_id":"655"}],"type":"preprint"},{"year":"2022","status":"public","title":"Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion","author":[{"full_name":"Götte, Thorsten","first_name":"Thorsten","last_name":"Götte","id":"34727"},{"full_name":"Scheideler, Christian","last_name":"Scheideler","first_name":"Christian","id":"20792"}],"date_updated":"2022-09-01T07:57:53Z","page":"99–101","language":[{"iso":"eng"}],"_id":"33240","publisher":"ACM","user_id":"15504","doi":"10.1145/3490148.3538556","editor":[{"first_name":"Kunal","last_name":"Agrawal","full_name":"Agrawal, Kunal"},{"last_name":"Lee","first_name":"I-Ting Angelina","full_name":"Lee, I-Ting Angelina"}],"publication":"SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022","citation":{"bibtex":"@inproceedings{Götte_Scheideler_2022, title={Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion}, DOI={10.1145/3490148.3538556}, booktitle={SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022}, publisher={ACM}, author={Götte, Thorsten and Scheideler, Christian}, editor={Agrawal, Kunal and Lee, I-Ting Angelina}, year={2022}, pages={99–101} }","ama":"Götte T, Scheideler C. Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion. In: Agrawal K, Lee I-TA, eds. SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022. ACM; 2022:99–101. doi:10.1145/3490148.3538556","mla":"Götte, Thorsten, and Christian Scheideler. “Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion.” SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, edited by Kunal Agrawal and I-Ting Angelina Lee, ACM, 2022, pp. 99–101, doi:10.1145/3490148.3538556.","chicago":"Götte, Thorsten, and Christian Scheideler. “Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion.” In SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, edited by Kunal Agrawal and I-Ting Angelina Lee, 99–101. ACM, 2022. https://doi.org/10.1145/3490148.3538556.","short":"T. Götte, C. Scheideler, in: K. Agrawal, I.-T.A. Lee (Eds.), SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, ACM, 2022, pp. 99–101.","ieee":"T. Götte and C. Scheideler, “Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion,” in SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022, 2022, pp. 99–101, doi: 10.1145/3490148.3538556.","apa":"Götte, T., & Scheideler, C. (2022). Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion. In K. Agrawal & I.-T. A. Lee (Eds.), SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022 (pp. 99–101). ACM. https://doi.org/10.1145/3490148.3538556"},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"13","name":"SFB 901 - C1: SFB 901 - Subproject C1"}],"date_created":"2022-09-01T07:55:00Z","type":"conference","department":[{"_id":"79"}]},{"department":[{"_id":"534"},{"_id":"66"}],"type":"book_chapter","date_created":"2022-04-25T11:33:09Z","file":[{"date_created":"2022-04-25T11:34:18Z","creator":"jonaskir","file_id":"30942","success":1,"content_type":"application/pdf","file_name":"ICDSST22_5504_Paper.pdf","file_size":425852,"access_level":"closed","relation":"main_file","date_updated":"2022-04-25T11:34:18Z"}],"abstract":[{"lang":"eng","text":"Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between\r\ndecision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning."}],"publication":"Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs","doi":"10.1007/978-3-031-06530-9_8","series_title":"Lecture Notes in Business Information Processing ","language":[{"iso":"eng"}],"intvolume":" 447","date_updated":"2022-09-07T08:56:38Z","author":[{"full_name":"Kirchhoff, Jonas","first_name":"Jonas","last_name":"Kirchhoff","id":"39928"},{"first_name":"Christoph","last_name":"Weskamp","full_name":"Weskamp, Christoph"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"year":"2022","title":"Decision Support Ecosystems: Definition and Platform Architecture","citation":{"apa":"Kirchhoff, J., Weskamp, C., & Engels, G. (2022). Decision Support Ecosystems: Definition and Platform Architecture. In Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs (Vol. 447). Springer. https://doi.org/10.1007/978-3-031-06530-9_8","ieee":"J. Kirchhoff, C. Weskamp, and G. Engels, “Decision Support Ecosystems: Definition and Platform Architecture,” in Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, vol. 447, Springer, 2022.","short":"J. Kirchhoff, C. Weskamp, G. Engels, in: Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, Springer, 2022.","chicago":"Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Decision Support Ecosystems: Definition and Platform Architecture.” In Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, Vol. 447. Lecture Notes in Business Information Processing . Springer, 2022. https://doi.org/10.1007/978-3-031-06530-9_8.","mla":"Kirchhoff, Jonas, et al. “Decision Support Ecosystems: Definition and Platform Architecture.” Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, vol. 447, Springer, 2022, doi:10.1007/978-3-031-06530-9_8.","ama":"Kirchhoff J, Weskamp C, Engels G. Decision Support Ecosystems: Definition and Platform Architecture. In: Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs. Vol 447. Lecture Notes in Business Information Processing . Springer; 2022. doi:10.1007/978-3-031-06530-9_8","bibtex":"@inbook{Kirchhoff_Weskamp_Engels_2022, series={Lecture Notes in Business Information Processing }, title={Decision Support Ecosystems: Definition and Platform Architecture}, volume={447}, DOI={10.1007/978-3-031-06530-9_8}, booktitle={Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}, publisher={Springer}, author={Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}, year={2022}, collection={Lecture Notes in Business Information Processing } }"},"file_date_updated":"2022-04-25T11:34:18Z","volume":447,"user_id":"39928","ddc":["000"],"_id":"30941","publisher":"Springer","has_accepted_license":"1","conference":{"name":"8th International Conference on Decision Support System Technology (ICDSST'22)"},"status":"public"},{"citation":{"chicago":"Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann. “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings.” In 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901416.","short":"S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.","apa":"Lange, S., Hedayat, C., Kuhn, H., & Hilleringmann, U. (2022). Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings. 2022 Smart Systems Integration (SSI). 2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901416","ieee":"S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: 10.1109/ssi56489.2022.9901416.","ama":"Lange S, Hedayat C, Kuhn H, Hilleringmann U. Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings. In: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901416","bibtex":"@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2022, place={Grenoble, France}, title={Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings}, DOI={10.1109/ssi56489.2022.9901416}, booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2022} }","mla":"Lange, Sven, et al. “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings.” 2022 Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901416."},"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"place":"Grenoble, France","status":"public","conference":{"location":"Grenoble, France","start_date":"2022-04-27","name":"2022 Smart Systems Integration (SSI)","end_date":"2022-04-28"},"publisher":"IEEE","_id":"33508","user_id":"38240","publication":"2022 Smart Systems Integration (SSI)","abstract":[{"text":"In this work, methods will be evaluated to numerically calculate the passive electrical parameters of planar coils. These parameters can then be used to optimize inductive applications such as wireless power transmission. The focus here will be on inductive localization, which uses high-frequency magnetic fields and the resulting induced voltage to provide localization through the coupling parameter mutual inductance. To achieve localization with high accuracy and best possible operation (resonance, signal strength, etc.), the coil parameters need to be well known. For this reason, some numerical methods for the calculation of these quantities are presented and validated. In addition, the physical effects are thereby considered in more detail, allowing the localization procedure to be better optimized compared to simulative black-box methods. The goal should be a dedicated simulation platform for planar coils to be able to develop training data for neural networks and to test and optimize localization algorithms.","lang":"eng"}],"date_created":"2022-10-04T11:26:11Z","keyword":["Simulation Environment","Inductive Localization","Coil Parameters","Inductive Applications","Near-Field"],"type":"conference","department":[{"_id":"59"},{"_id":"485"}],"title":"Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings","year":"2022","publication_identifier":{"eisbn":["978-1-6654-8849-5"]},"author":[{"id":"38240","full_name":"Lange, Sven","last_name":"Lange","first_name":"Sven"},{"full_name":"Hedayat, Christian","first_name":"Christian","last_name":"Hedayat"},{"first_name":"Harald","last_name":"Kuhn","full_name":"Kuhn, Harald"},{"first_name":"Ulrich","last_name":"Hilleringmann","full_name":"Hilleringmann, Ulrich"}],"publication_status":"published","date_updated":"2022-10-04T11:35:11Z","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901416"}],"language":[{"iso":"eng"}],"doi":"10.1109/ssi56489.2022.9901416"},{"language":[{"iso":"eng"}],"_id":"33714","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s13132-022-00959-2","user_id":"15782","title":"Evaluation of Industry 4.0 Applications in Production","year":"2022","status":"public","author":[{"first_name":"Robert","last_name":"Joppen","full_name":"Joppen, Robert"},{"first_name":"Arno","last_name":"Kühn","full_name":"Kühn, Arno"},{"first_name":"Magdalena","last_name":"Förster","full_name":"Förster, Magdalena"},{"full_name":"Dumitrescu, Roman","last_name":"Dumitrescu","first_name":"Roman","id":"16190"}],"publication_identifier":{"issn":["1868-7865","1868-7873"]},"date_updated":"2022-10-13T11:53:53Z","publication_status":"published","date_created":"2022-10-13T11:50:20Z","type":"journal_article","keyword":["Economics and Econometrics"],"department":[{"_id":"563"}],"publication":"Journal of the Knowledge Economy","citation":{"ama":"Joppen R, Kühn A, Förster M, Dumitrescu R. Evaluation of Industry 4.0 Applications in Production. Journal of the Knowledge Economy. Published online 2022. doi:10.1007/s13132-022-00959-2","bibtex":"@article{Joppen_Kühn_Förster_Dumitrescu_2022, title={Evaluation of Industry 4.0 Applications in Production}, DOI={10.1007/s13132-022-00959-2}, journal={Journal of the Knowledge Economy}, publisher={Springer Science and Business Media LLC}, author={Joppen, Robert and Kühn, Arno and Förster, Magdalena and Dumitrescu, Roman}, year={2022} }","mla":"Joppen, Robert, et al. “Evaluation of Industry 4.0 Applications in Production.” Journal of the Knowledge Economy, Springer Science and Business Media LLC, 2022, doi:10.1007/s13132-022-00959-2.","short":"R. Joppen, A. Kühn, M. Förster, R. Dumitrescu, Journal of the Knowledge Economy (2022).","chicago":"Joppen, Robert, Arno Kühn, Magdalena Förster, and Roman Dumitrescu. “Evaluation of Industry 4.0 Applications in Production.” Journal of the Knowledge Economy, 2022. https://doi.org/10.1007/s13132-022-00959-2.","apa":"Joppen, R., Kühn, A., Förster, M., & Dumitrescu, R. (2022). Evaluation of Industry 4.0 Applications in Production. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-00959-2","ieee":"R. Joppen, A. Kühn, M. Förster, and R. Dumitrescu, “Evaluation of Industry 4.0 Applications in Production,” Journal of the Knowledge Economy, 2022, doi: 10.1007/s13132-022-00959-2."},"abstract":[{"lang":"eng","text":"AbstractIndustry 4.0 promises many potentials in production. Examples are a data-driven optimization of production processes of individual machines, driverless transport systems, and assistance systems. Nevertheless, companies are still hesitant to invest in Industry 4.0 applications. Studies show that one of the main reasons for that is the unclear economic benefit. In this work, we present a systematic approach for the evaluation of Industry 4.0 applications in production. The main goal of the systematic is to create transparency over the evaluation process of an investment in an Industry 4.0 application in production. The evaluation of a concrete technical solution in an existing production system is supported. As a theoretical foundation, a characterization of investments in Industry 4.0 applications is given. From that, a procedure model is derived. It puts the activities to be carried out, the tools to be used and results in a temporal context. The application of the systematic is shown on the basis of an application example."}]},{"publication_status":"published","date_updated":"2022-10-13T11:47:40Z","intvolume":" 2","title":"Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment","year":"2022","author":[{"last_name":"Japs","first_name":"Sergej","full_name":"Japs, Sergej"},{"full_name":"Schmidt, Sebastian","last_name":"Schmidt","first_name":"Sebastian"},{"first_name":"Frank","last_name":"Kargl","full_name":"Kargl, Frank"},{"first_name":"Lydia","last_name":"Kaiser","full_name":"Kaiser, Lydia"},{"full_name":"Kharatyan, Aschot","last_name":"Kharatyan","first_name":"Aschot"},{"first_name":"Roman","last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","id":"16190"}],"publication_identifier":{"issn":["2732-527X"]},"doi":"10.1017/pds.2022.162","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"AbstractThe development of technical systems requires close cooperation of stakeholders from different disciplines. This collaboration takes place in workshops. Driven by digitalization and by the current pandemic such workshops take place primarily online. Suitable collaboration tools and methods are crucial to success. At the beginning of such workshops, use and damage scenarios are identified. In this paper, we presented a method and tool for identifying and modeling use and damage scenarios, which we evaluated in 14 online workshops with a total of 118 participants over a period of almost 3 years."}],"publication":"Proceedings of the Design Society","type":"journal_article","department":[{"_id":"563"}],"date_created":"2022-10-13T11:25:39Z","status":"public","user_id":"15782","volume":2,"page":"1599-1608","_id":"33713","publisher":"Cambridge University Press (CUP)","citation":{"apa":"Japs, S., Schmidt, S., Kargl, F., Kaiser, L., Kharatyan, A., & Dumitrescu, R. (2022). Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment. Proceedings of the Design Society, 2, 1599–1608. https://doi.org/10.1017/pds.2022.162","ieee":"S. Japs, S. Schmidt, F. Kargl, L. Kaiser, A. Kharatyan, and R. Dumitrescu, “Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment,” Proceedings of the Design Society, vol. 2, pp. 1599–1608, 2022, doi: 10.1017/pds.2022.162.","chicago":"Japs, Sergej, Sebastian Schmidt, Frank Kargl, Lydia Kaiser, Aschot Kharatyan, and Roman Dumitrescu. “Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment.” Proceedings of the Design Society 2 (2022): 1599–1608. https://doi.org/10.1017/pds.2022.162.","short":"S. Japs, S. Schmidt, F. Kargl, L. Kaiser, A. Kharatyan, R. Dumitrescu, Proceedings of the Design Society 2 (2022) 1599–1608.","mla":"Japs, Sergej, et al. “Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment.” Proceedings of the Design Society, vol. 2, Cambridge University Press (CUP), 2022, pp. 1599–608, doi:10.1017/pds.2022.162.","ama":"Japs S, Schmidt S, Kargl F, Kaiser L, Kharatyan A, Dumitrescu R. Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment. Proceedings of the Design Society. 2022;2:1599-1608. doi:10.1017/pds.2022.162","bibtex":"@article{Japs_Schmidt_Kargl_Kaiser_Kharatyan_Dumitrescu_2022, title={Collaborative Modeling of Use Case & Damage Scenarios in Online Workshops Using a 3D Environment}, volume={2}, DOI={10.1017/pds.2022.162}, journal={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Japs, Sergej and Schmidt, Sebastian and Kargl, Frank and Kaiser, Lydia and Kharatyan, Aschot and Dumitrescu, Roman}, year={2022}, pages={1599–1608} }"}}]