@inproceedings{WohlmacherKlapperichMertleetal.2023, author = {Wohlmacher, Bernhard and Klapperich, Holger and Mertle, Fabian and Huldtgren, Alina}, title = {Overcoming technology and communication barriers in intergenerational communication with a tangible interface}, series = {MuC '23: Mensch und Computer 2023, Rapperswil Switzerland, September 3 - 6, 2023}, booktitle = {MuC '23: Mensch und Computer 2023, Rapperswil Switzerland, September 3 - 6, 2023}, editor = {Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegrass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {979-8-4007-0771-1}, doi = {10.1145/3603555.3608554}, pages = {508 -- 512}, year = {2023}, abstract = {Despite the higher uptake of digital media also in older age groups, there are still challenges for people of high ages and with cognitive or motoric problems, which prevent them from learning and using devices like smartphones or tablets. Tangible user interfaces provide an opportunity to connect these people to social media, thereby increasing their digital participation in society and reducing loneliness. In this paper, we discuss the challenges of intergenerational communication and research the opportunities affiliated with tangible technologies to overcome technology barriers for adults of high ages. We present a hybrid system for social media interactions between young smartphone users and their old relatives, who do not use mobile technologies. The system consists of a tangible user interface designed specifically for old adults that connects to a standard mobile messenger service. TAMI was designed in a user-centered process to fulfill the needs of older adults and tested in a longer-term field study with pairs of young and old relatives.}, language = {en} } @inproceedings{FatemiTischbeinWirtzetal.2023, author = {Fatemi, Armin and Tischbein, Franziska and Wirtz, Frank and Schmoger, Christin and Dorendorf, Stefan and Schurtz, Annika and Echternacht, David and Ulbig, Andreas}, title = {On the Impact of Smartification Strategies for the State Estimation of Low Voltage Grids}, series = {13th "Internationale Energiewirtschaftstagung" (IEWT2023), February 15-17, 2023, Vienna, Austria}, booktitle = {13th "Internationale Energiewirtschaftstagung" (IEWT2023), February 15-17, 2023, Vienna, Austria}, address = {Wien}, doi = {10.48550/arXiv.2303.07964}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-41282}, pages = {1 -- 15}, year = {2023}, abstract = {The decarbonization of for example the energy or heat sector leads to the transformation of distribution grids. The expansion of decentralized energy resources and the integration of new consumers due to sector coupling (e.g. heat pumps or electric vehicles) into low voltage grids increases the need for grid expansion and usage of flexibilities in the grid. A high observability of the current grid status is needed to perform these tasks efficiently and effectively. Therefore, there is a need to increase the observability of low voltage grids by installing measurement technologies (e.g. smart meters). Multiple different measurement technologies are available for low voltage grids which can vary in their benefit to observation quality and their installation costs. Therefore, Bayernwerk Netz GmbH and E.DIS AG in cooperation with E-Bridge Consulting GmbH and the Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics (IAEW) investigated the effectiveness of different strategies for the smartification of low voltage grids. This paper presents the methodology used for the investigation and exemplary results focusing on the impact of intelligent cable distribution cabinets and smart meters on the quality of the state estimation.}, language = {en} } @inproceedings{OPUS4-4010, title = {New Work - Next Learning: Tagungsband zum Themennachmittag}, editor = {Diedrich, Andreas and Lehmann, Christina}, publisher = {Hochschule D{\"u}sseldorf}, address = {D{\"u}sseldorf}, issn = {2365-3361}, doi = {10.20385/opus4-4010}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-40103}, pages = {55}, year = {2023}, abstract = {Der Tagungsband umfasst s{\"a}mtliche Beitr{\"a}ge des Themennachmittags „New Work - Next Learning", der am 22. November 2022 am Fachbereich Wirtschaftswissenschaften der Hochschule D{\"u}sseldorf stattgefunden hat. Ausgehend von der Fragestellung, welche Mitarbeiter und F{\"u}hrungsnachwuchskr{\"a}fte Unternehmen zur erfolgreichen Bew{\"a}ltigung des digitalen Wandels ben{\"o}tigen und welche Erwartungen Studierende an zuk{\"u}nftige Arbeitsstrukturen und -prozesse haben, wurde auch kritisch diskutiert, welche Chancen und Risiken hierbei aus der Digitalisierung der Hochschule resultieren und was dies f{\"u}r zuk{\"u}nftige Forschungs-, Lehr- und Verwaltungsprozesse an Hochschulen bedeutet. Dazu haben unterschiedliche Referenten das Tagungsthema aus Sicht von Wirtschaftspraxis und Hochschule beleuchtetet und wichtige Impulse zu den Potenzialen der Digitalisierung in der Hochschul- und Weiterbildung, zur Bedeutung von selbstbestimmtem und eigenverantwortlichem Lernen, innovativen Lehr- und Lernkonzepten sowie einem ver{\"a}nderten Rollenverst{\"a}ndnis beigetragen.}, language = {de} } @inproceedings{GroteRammSchoenigSchwarzboezletal.2023, author = {Grote-Ramm, Wolfgang and Sch{\"o}nig, Felix and Schwarzb{\"o}zl, Peter and Drexelius, Maximilian and Maldonado Quinto, Daniel and Binder, Matthias}, title = {Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers}, series = {29th SolarPACES Conference, Sydney}, booktitle = {29th SolarPACES Conference, Sydney}, year = {2023}, abstract = {A two-component system for control and monitoring of solar power towers with molten salt receivers is proposed. The control component consists of a model predictive control applica-tion (MPC) with a flexible objective function and on-line tunable weights, which runs on a In-dustrial PC and uses a reduced order dynamic model of the receiver's thermal and flow dy-namics. The second component consists of a service-life monitoring unit, which estimates the service-life consumption of the absorber tubes depending on the current mode of operation based on thermal stresses and creep fatigue in the high temperature regime. The calculation of stresses is done based on a detailed finite element study, in which a digital twin of the re-ceiver was developed. By parallelising the model solver, the estimation of service-life con-sumption became capable of real-time operation. The system has been implemented at a test facility in J{\"u}lich, Germany, and awaits field experiments. In this paper, the modeling and archi-tecture are presented along simulation results, which were validated on a hardware-in-the-loop test bench. The MPC showed good disturbance rejection while respecting process variable constraints during the simulation studies.}, language = {en} } @inproceedings{StoehrZielke2023, author = {St{\"o}hr, Marcel and Zielke, Thomas}, title = {Machine Learning for Soft Sensors and an Application in Cement Production}, series = {Smart, Sustainable Manufacturing in an Ever-Changing World Proceedings of International Conference on Competitive Manufacturing (COMA '22)}, volume = {Lecture Notes in Production Engineering}, booktitle = {Smart, Sustainable Manufacturing in an Ever-Changing World Proceedings of International Conference on Competitive Manufacturing (COMA '22)}, editor = {Leipzig, Konrad von and Sacks, Natasha and Mc Clelland, Michelle}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-15604-5}, doi = {10.1007/978-3-031-15602-1_46}, pages = {627 -- 638}, year = {2023}, language = {en} } @inproceedings{MarziKlapperichHuldtgren2023, author = {Marzi, Karoline and Klapperich, Holger and Huldtgren, Alina}, title = {Insights on Older Adults' Willingness, Motives and Experiences regarding Participation in HCI research}, series = {MuC '23: Proceedings of Mensch und Computer 2023, Rapperswil Switzerland, September 3 - 6, 2023}, booktitle = {MuC '23: Proceedings of Mensch und Computer 2023, Rapperswil Switzerland, September 3 - 6, 2023}, editor = {Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegrass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {979-8-4007-0771-1}, doi = {10.1145/3603555.3608540}, pages = {432 -- 436}, year = {2023}, abstract = {User-centered and Participatory Design approaches have become widespread within HCI, also when designing digital media for older adults. These methodologies are seen as crucial to adapt technology design to older people's needs and increase their acceptance of digital technology. Nevertheless, it is often difficult to reach a diverse group of older people, for instance, people with limited technology skills, limited mobility, or cognitive issues. In addition, gerontologists criticized lately how older people's participation unfolds in technology design projects, e.g. that people are pushed into the role of users. Little is known about the motivations and needs of older adults regarding their participation in HCI research. To close this gap, we conducted an online survey (N=46) and semi-structured interviews (N=8) focusing on motivations, willingness and experiences regarding participation. Results show that people are generally willing to participate due to interest in the topic, learning new things and social bonding. However, despite the conceptions within HCI that long-term engagement is crucial within participatory design, older people in the study preferred less commitment and more open formats.}, language = {en} } @inproceedings{KampannGoebelAdam2023, author = {Kampann, Maximilian and Goebel, Johannes and Adam, Mario}, title = {Effizienzuntersuchungen an einem W{\"a}rmepumpensystem mit Schichtspeicher f{\"u}r Raumheizung und Trinkwarmwasser anhand von Hardware-in-the-Loop Versuchen}, series = {Tagungsband: 6. Regenerative Energietechnik Konferenz in Nordhausen, 9.-10.2.2023}, booktitle = {Tagungsband: 6. Regenerative Energietechnik Konferenz in Nordhausen, 9.-10.2.2023}, editor = {Wesselak, Viktor}, publisher = {Nordhausen}, address = {Hochschule Nordhausen}, isbn = {978-3-940820-21-1}, pages = {176 -- 188}, year = {2023}, language = {de} } @inproceedings{TischbeinFatemiWirtzetal.2023, author = {Tischbein, Franziska and Fatemi, Armin and Wirtz, Frank and Schmoger, Christin and Dorendorf, Stefan and Schurtz, Annika and Echternacht, David and Ulbig, Andreas}, title = {Development of Strategies for the Smartification of Low-Voltage Grids}, series = {ETG-Fb. 170: ETG Kongress 2023 : Die Energiewende beschleunigen, 25. - 26.05.2023 in Kasse}, volume = {ETG-Fachberichte 170}, booktitle = {ETG-Fb. 170: ETG Kongress 2023 : Die Energiewende beschleunigen, 25. - 26.05.2023 in Kasse}, publisher = {VDE}, address = {Berlin}, isbn = {978-3-8007-6108-1}, pages = {438 -- 444}, year = {2023}, language = {en} } @inproceedings{RakowKlessHasleretal.2023, author = {Rakow, Thomas C. and Kless, Andr{\´e} and Hasler, Charlotte and Knolle, Harm and Faeskorn-Woyke, Heide and Saatz, Inga Marina and Lambert, Jens and Focken, Mareike}, title = {Developing OERs for Teaching Database Systems: A Two-Year Effort of Four Universities of Applied Sciences}, series = {GI Edition Proceedings Band 331 "BTW 2023" : 6. - 10. M{\"a}rz 2023 in Dreden}, booktitle = {GI Edition Proceedings Band 331 "BTW 2023" : 6. - 10. M{\"a}rz 2023 in Dreden}, editor = {K{\"o}nig-Ries, Birgitta and Scherzinger, Stefanie and Lehner, Wolfgang and Vossen, Gottfried}, publisher = {K{\"o}llen}, address = {Bonn}, isbn = {9783885797258}, doi = {10.18420/BTW2023-31}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-40611}, year = {2023}, language = {en} } @inproceedings{LorenzenSchoenigGroteRammetal.2023, author = {Lorenzen, Finn and Sch{\"o}nig, Felix and Grote-Ramm, Wolfgang and Oliveira Brito, Marcel and Neuberger, Heiko and Sobolyev, Alexander}, title = {Continual Adaptation of Compressor Maps During Operation on Measurement Data For Increased Performance of Model-Based Applications in Turbomachinery}, series = {ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, June 26-30, 2023 Boston, Massachusetts, USA}, volume = {Volume 4}, booktitle = {ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, June 26-30, 2023 Boston, Massachusetts, USA}, publisher = {ASME}, address = {Boston}, isbn = {978-0-7918-8697-7}, doi = {10.1115/GT2023-103458}, pages = {1 -- 7}, year = {2023}, abstract = {Higher control engineering concepts, including artificial intelligence and model-based control, are recently becoming more popular in complex industrial applications because they enable a significant increase in efficiency. E.g., a model-based approach can be used to enhance the control and monitoring of several coupled components of a larger turbomachinery train. This requires dynamic models of the components, including all machine characteristics, which may experience a shift in their behavior over the course of their lifetime. Such changes occur due to natural fouling, wear of sub-components or external effects induced by maintenance measures. To overcome this problem, we model machine-characteristic maps with artificial neural networks, which may be used as part of prediction models in a model predictive control unit. If an appropriate data set is available, this allows us to adapt the model to the current behavior of the machine without requiring in-depth knowledge about the underlying physics of this "concept drift", as it is known in literature. However, the training of neural networks is usually connected with high computational effort while the task needs to be executed in real-time during operation. Furthermore, in real operating conditions, machine sensors can only provide labeled data from the current operating point of the machine, which can be stationary for long operation periods of up to several months. In general, this yields only an unrepresentative data subset of the machine-characteristics, which is not sufficient to retrain the whole model to a new state. To solve these problems, we firstly reduce the model adaptation to a convex optimization problem, which can be efficiently solved in real-time conditions. Secondly, we use a specialized data management system with which we can integrate historical data to supplement the unrepresentative data subset. In this paper we show the application of the outlined method on a compressor map and discuss the advantages and requirements of the method in the context of modeling applications for industrial turbomachinery.}, language = {en} }