Wetzel, S. ., & Bertel, S. . (2018). Extraction of Time Dependent Physical Rotation Strategies. 14th biannual conference of the German Society for Cognitive Science, GK. Tübingen. Germany.
Tuschy, I. ., Boysen, C. ., Kaldemeyer, C. ., & Kapp, C. . (2018). Kraft-Wärme-Kopplung oder Power-to-Heat – Netzgekoppelte Wärmeversorgung bei einem steigenden Anteil erneuerbarer Energien. Tagungsband Zum 50. Kraftwerkstechnischen Kolloquium.
Oelze, N. ., Brandenburg, M. ., Jansen, C. ., & Warasthe, R. . (2018). Applying Sustainable Supply Chain Management Frameworks to Two German Case Studies. IFAC-PapersOnLine, 51, 293–296. http://doi.org/10.1016/j.ifacol.2018.11.304
Abstract
Sustainability has become a highly relevant factor for companies, economies and societies. As a consequence, the consideration of environmental and social factors is crucial to manage supply chains sustainably. The study at hand analyses and compares conceptual frameworks and empirical studies on sustainable supply chain management. The gained insights are transferred to case studies of two German firms.
Kaiser, B. ., Lindner, M. ., Reinhold, S. ., & Teistler, M. . (2018). Audio Editing with a Game Controller for Blind Users. In Mensch und Computer 2018 - Tagungsband. Bonn: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2018-mci-0439
Demirsoy, A. ., & Petersen, K. . (2018). Semantic Knowledge Management System to Support Software Engineers: Implementation and Static Evaluation through Interviews at Ericsson. E-Informatica Software Engineering Journal, 12.
Fuchkina, E. ., Schneider, S. ., Bertel, S. ., & Osintseva, I. . (2018). Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment. Computing for a better tomorrow - the 36th eCAADe Conference. Lodz, Poland: Lodz University of Technology.
Abstract
Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
Ghazi, A. N., Petersen, K. ., Reddy, S. S. V. R., & Nekkanti, H. . (2018). Survey research in software engineering: Problems and mitigation strategies. IEEE Access, 7, 24703–24718.
Luna, J. ., Gros, S. ., Geisler, J. ., Falkenberg, O. ., Noga, R. ., & Schild, A. . (2018). Super-short Term Wind Speed Prediction based on Artificial Neural Networks for Wind Turbine Control Applications. In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (S. 1952–1957). http://doi.org/10.1109/IECON.2018.8591623
Thomsen, F. ., Hofmann, G. ., Ebel, T. ., & Willumeit-Römer, R. . (2018). An elementary simulation model for neck growth and shrinkage during solid phase sintering. Materialia, 3, 9. http://doi.org/https://doi.org/10.1016/j.mtla.2018.08.031