Taulien, A. ., Paulsen, A. ., Streland, T. ., Gröfke, L. ., Reinhold, S. ., & Teistler, M. . (2018). Audiorekorder zur kindgerechten Interaktion mit der Stimme. In Mensch und Computer 2018 - Tagungsband. Bonn: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2018-mci-0425
Moritz, S. ., & Uzunkol, O. . (2018). A More Efficient Secure Fully Verifiable Delegation Scheme for Simultaneous Group Exponentiations. In Lecture Notes in Computer Science (S. 74–93). Springer International Publishing. http://doi.org/10.1007/978-3-030-03712-3_7
Azari, B. ., Bertel, S. ., & Wüthrich, C. A. (2018). Assessing objective image quality metrics for bidirectional texture functions. 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2018). Pilsen, Czech Republic.
Ghazi, A. N., Petersen, K. ., Bjarnason, E. ., & Runeson, P. . (2018). Levels of exploration in exploratory testing: from freestyle to fully scripted. IEEE Access, 6, 26416–26423.
Brandenburg, M. ., & Hahn, G. J. (2018). Sustainable aggregate production planning in the chemical process industry - A benchmark problem and dataset. Data in Brief, 18, 961–967. http://doi.org/10.1016/j.dib.2018.03.064
Abstract
Process industries typically involve complex manufacturing operations and thus require adequate decision support for aggregate production planning (APP). The need for powerful and efficient approaches to solve complex APP problems persists. Problem-specific solution approaches are advantageous compared to standardized approaches that are designed to provide basic decision support for a broad range of planning problems but inadequate to optimize under consideration of specific settings. This in turn calls for methods to compare different approaches regarding their computational performance and solution quality. In this paper, we present a benchmarking problem for APP in the chemical process industry. The presented problem focuses on (i) sustainable operations planning involving multiple alternative production modes/routings with specific production-related carbon emission and the social dimension of varying operating rates and (ii) integrated campaign planning with production mix/volume on the operational level. The mutual trade-offs between economic, environmental and social factors can be considered as externalized factors (production-related carbon emission and overtime working hours) as well as internalized ones (resulting costs). We provide data for all problem parameters in addition to a detailed verbal problem statement. We refer to Hahn and Brandenburg [1] for a first numerical analysis based on and for future research perspectives arising from this benchmarking problem.
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
Wetzel, S. ., & Bertel, S. . (2018). A Comparison of Mental and Physical Rotation Using Gaze-Based Measures. Spatial Cognition XI. Tübingen. Germany: Springer International Publishing.
Abstract
Over the past few years, a number of studies have reported on procedural similarities and differences between mental rotation and physical (i.e., manual) rotation of Shepard and Metzler-type stimuli. These similarities include comparable angular disparity effects and comparable final angular offsets in problem solving. This paper presents results from further comparisons based on gazed-derived measures obtained across the course of trials. In a within-subject design, participants solved the same tasks as mental and as physical rotation problems. We compare time courses of mean fixation duration and of saccade amplitude, and interpret these with respect to underlying mental processes and loads. The results point to additional specific procedural similarities and differences, which nicely complement the previous findings. The results are of additional, practical use for establishing how and when physical rotation can provide a useful proxy for mental rotation for purposes of process analysis, of ability assessment, and of training.
Nicolaisen, V. ., Dohse, F. ., Eickelmann, T. ., Goldgräbe, Y. ., Reinhold, S. ., & Teistler, M. . (2018). Open Privacy: Anonymisiertes Live-Feedback für Vortragssituationen. In Mensch und Computer 2018 - Tagungsband. Bonn: Gesellschaft für Informatik e.V. http://doi.org/10.18420/muc2018-mci-0420