Publikationen

2022

Fischer, S., Göhlich, M., & Schmitt, J. (2022). Interrelationships of climate adaptation and organizational learning: Development of a measurement model. Journal of Pedagogical Research, 6(5), 130-152. http://doi.org/10.33902/JPR.202218006doi.org/10.33902/JPR.202218006

Fischer S, Keupp L, Paeth H, Göhlich M, Schmitt J. Climate Adaptation as Organizational Learning: A Grounded Theory Study on Manufacturing Companies in a Bavarian Region. Education Sciences. 2022; 12(1):22. doi.org/10.3390/educsci12010022

Fischer, S., & Schmitt, J. (2022). Regionalstudie Auswirkungen des globalen Klimawandels in Mainfranken: Grundlagenwissen, aktuelle Strategien und Bedarfe ansässiger Wirtschaft. https://doi.org/10.57714/fpkt-vt47

Fischer, S. (2022). Climate Adaptation as an Economic Challenge: Finding Business Strategies by Game-based Learning. In Proceedings of the 16th European Conference on Games Based Learning,  Vol. 16(1). https://doi.org/10.34190/ecgbl.16.1.581https://doi.org/10.34190/ecgbl.16.1.581

Höfflin, D.; Rosilius, M.; Seitz, P.; Schiffler, A.; Hartmann, J. Opto-Thermal Investigation of Additively Manufactured Steel Samples as a Function of the Hatch Distance. Sensors 2022, 22, 46. https://doi.org/10.3390/s22010046

Höfflin, D.; Sauer, C.; Schiffler, A.; Hartmann, J. Process Monitoring Using Synchronized Path Infrared Thermography in PBF-LB/M. Sensors 2022, 22, 5943. https://doi.org/10.3390/s22165943

Manghisi, Vito Modesto, Wilhelm, Markus, Uva, Antonello, Engelmann, Bastian, Fiorentino, Michele & Schmitt, Jan (2022) Towards gestured-based technologies for human-centred Smart Factories, International Journal of Computer Integrated Manufacturing, https://doi.org/10.1080/0951192X.2022.2121424

Schmitt, J. (2022). Ein integriertes Vorgehensmodell zur Implementierung eines nachhaltigen Wertstoffmanagements. In: Herzner, A., Schmidpeter, R. (eds) CSR in Süddeutschland. Management-Reihe Corporate Social Responsibility. Springer Gabler, Berlin, Heidelberg. doi.org/10.1007/978-3-662-61959-9_7

Tappe, M., Dose, D., Oelsch, M., Karimi, M., Hösch, L., Heller, L., ... & Bachmeir, C. (2022, April). UAS based autonomous visual inspection of airplane surface defects. In NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World (Vol. 12049, pp. 8-21). SPIE. http://dx.doi.org/10.1117/12.2612579

2021

Arduini M, Manara J, Stark T, Ebert H-P, Hartmann J. Development and Evaluation of an Improved Apparatus for Measuring the Emissivity at High Temperatures. Sensors. 2021; 21(18):6252. https://doi.org/10.3390/s21186252

Engelmann, B., Schmitt, J. (2021). Industrie 4.0 für Studierende des Wirtschaftsingeneieurwesens. In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 259-274). Berlin: Springer Nature.

Fischer, S., Hofmann, J., Waschik, M., Bräutigam, V. (2021). Agile Lehre für eine interaktive Gründungskultur. In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 259-274). Berlin: Springer Nature.

Fischer, S., Rosilius, M., Schmitt, J., & Bräutigam, V. (2022). A Brief Review of Our Agile Teaching Formats in Entrepreneurship Education. Sustainability, 14(1), 251. https://doi.org/10.3390/su14010251

Miller, E., Borysenko, V., Heusinger, M., Niedner, N., Engelmann, B., & Schmitt, J. (2021). Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning. Sensors, 21(17), 5896. https://doi.org/10.3390/s21175896

Miller, E., Ceballos, H., Engelmann, B., Schiffler, A., Batres, R., & Schmitt, J. (2021, December). Industry 4.0 and International Collaborative Online Learning in a Higher Education Course on Machine Learning. In 2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop (pp. 1-8). IEEE.

L. Fichtel, A. M. Frühwald, L. Hösch, V. Schreibmann, C. Bachmeir and F. Bohlander, "Tree Localization and Monitoring on Autonomous Drones employing Deep Learning," 2021 29th Conference of Open Innovations Association (FRUCT), 2021, pp. 132-140, doi: 10.23919/FRUCT52173.2021.9435549.

Rosilius, M., Wirsing, B., von Eitzen, I., Wilhelm, M., Schmitt, J., Engelmann, B., & Brautigam, V. (2021, October). Evaluation of Visual Requirements and Software-Design for Immersive Visibility in Industrial Applications. In 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 234-239). IEEE Computer Society.

Ochs, D., Wehnert, K.K., Hartmann, J., Schiffler, A., Schmitt, J., 2021. Sustainable Aspects of a Metal Printing Process Chain with Laser Powder Bed Fusion (LPBF). Procedia CIRP 98, 613–618. https://doi.org/10.1016/j.procir.2021.01.163

Scherdel C, Miller E, Reichenauer G, Schmitt J. Advances in the Development of Sol-Gel Materials Combining Small-Angle X-ray Scattering (SAXS) and Machine Learning (ML). Processes. 2021; 9(4):672. https://doi.org/10.1016/j.procir.2021.01.163

Schmitt, J., Hillenbrand A., Kranz, P., Kaupp T. (2021). Assisted Human-Robot-Interaction for Industrial Assembly: Application of Spatial Augmented Reality (SAR) for Collaborative Assembly Tasks. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI '21 Companion). Association for Computing Machinery, New York, NY, USA, 52–56. https://doi.org/10.1145/3434074.3447127

Schuster, F., Engelmann, B., Sponholz, U., Schmitt, J., & Engineering, I. D. (2021). Human acceptance evaluation of AR-assisted assembly scenarios. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2020.12.012

Spiess, F., Friesslich, J., Bluemm, D., Mast, F., Vinokour, D., Kounev, S., Kaupp, T., Strobel, N. (2021). Towards a Mobile Robot Localization Benchmark with Challenging Sensordata in an Industrial Environment. In Proceedings of the 20th IEEE International Conference on Advanced Robotics (ICAR 2021), Dec. 6-10, 2021, Lubljana, Slovenia.

Spiess, F., Reinhart, L., Kaiser, D., Strobel, N., Kounev, S., Kaupp, T. (2021). People Detection with depth silhouettes and convolutional neural networks on a mobile robot. 7th International Conference on Mechatronics and Robotics Engineering (ICMRE 2021), Feb 3-5, 2021, Budapest, Hungary.

Spiess, F., Reinhart, L., Kaiser, D., Strobel, N., Kounev, S., Kaupp, T. (2021). People Detection with depth silhouettes and convolutional neural networks on a mobile robot. In Journal of Image and Graphics, Volume 9, No. 4, December 2021. http://www.joig.net/uploadfile/2021/1124/20211124052740953.pdf

Waschik, M., Bräutigam, V. (2021). Storytelling mit den Händen. Unternehmerisches Denken und Handeln mit LEGO® Serious Play® greifbar machen.  In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 359-371). Berlin: Springer Nature.

Wehnert, K.K., Ochs, D., Schmitt, J., Hartmann, J., Schiffler, A., 2021. Reducing Lifecycle Costs due to Profile Scanning of the Powder Bed in Metal Printing. Procedia CIRP 98, 684–689. https://doi.org/10.1016/j.procir.2021.01.175

Wehnert, K.K., Schäfer, S., Schmitt, Jan, Schiffler, Andreas. (2021). Application of Laser Line Scanners for Quality Control during Selective Laser Melting (SLM). 10.5162/SMSI2021/C7.4

2020

Hösch, L., Arndt, M., Fichtel L., Frühwald, A. M., Schreibmann, V. , Schmiedl, H., Schütz, A., Bachmeir, C.: Towards a comprehensive attack framework against commercial and private UAV. Proceedings of the International Conference on Applied Informatics Imagination, Creativity, Design, Development - ICDD 2020

Frühwald, A. M., Kastner S., Schmitt, A.-M., Haas, S., Hösch, L., Fichtel, L., Bachmeir, C.: Towards an Industrial Recommendation System for Quality Improvement: Comparison of Python and C++ Implementations in an Edge- and Cloud Computing Environment. Proceedings of the International Conference on Applied Informatics Imagination, Creativity, Design, Development - ICDD 2020

Engelmann, B.; Schmitt, S.; Miller, E.; Bräutigam, V.; Schmitt, J. Advances in Machine Learning Detecting Changeover Processes in Cyber Physical Production Systems. J. Manuf. Mater. Process. 2020, 4, 108. https://doi.org/10.3390/jmmp4040108

Gattullo, M., Dammacco, L., Francesca Ruospo, F., Evangelista, A., Fiorentino, M., Schmitt, J., Uva, A.-E. (2020). Design preferences on Industrial Augmented Reality: a survey with potential technical writers. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nov. 2020. 10.1109/ISMAR-Adjunct51615.2020.00054

Schuster, F., Sponholz, U., Engelmann, B., Schmitt, J. (2020). A User Study on AR-assisted Industrial Assembly. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nov. 2020. 10.1109/ISMAR-Adjunct51615.2020.00047

Spiess, F., Friesslich, J., Kaupp, T., Kounev, S., & Strobel, N. (2020). Survey and Experimental Comparison of RGB-D Indoor Robot Navigation Methods supported by ROS and their Expansion via Fusion with Wheel Odometry and IMU Data. International Journal of Mechanical Engineering and Robotics Research (IJMERR), vol. 9, no. 12, pp. 1532-1540, December 2020.

Wilhelm, M., Manghisi, V. M., Uva, A., Fiorentino, M., Bräutigam, V., Engelmann, B., Schmitt, J. (2020). ErgoTakt: A Novel Approach of Human-Centered Balancing of Manual Assembly Lines. Procedia Cirp, 8th CIRP Conference of Assembly Technology and Systems, Volume 97, 2020, pp. 354-360, ISSN 2212-8271, doi.org/10.1016/j.procir.2020.05.250

Zipf, M., Manara, J., Stark, T., Arduini, M., Ebert, H. P. & Hartmann, J. (2020). Identification of wavelength regions for non-contact temperature measurement of combustion gases at high temperatures and high pressures, High Temp. - High Press, 49(3), 241-260. 10.32908/hthp.v49.805

2019

Dzemko, M., Engelmann, B., Hartmann, J., & Schmitt, J. (2019). Towards Shifted Production Strategies Through Additive Manufacturing: A Technology and Market Review for Changing Value Chains. Procedia CIRP, 86, 228-233. https://doi.org/10.1016/j.procir.2020.01.029

Hartmann, J., Knopp, K., Lenski, P., Zänglein, M., Manara, J., Stark, T., Zipf, M., Arduini, M., Schreiber, E., Krüger, U. & Brunner, M. (2019). Optische Sensorik für die additive Fertigung, 4SMARTS 2019, 105-116 (2019). ISBN 978-3-8440-6425-4

Lutz, B., Kisskalt, D., Regulin, D., Reisch, R., Schiffler, A., & Franke, J. (2019). Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. International Conference on Machine Learning and Applications (ICMLA-2019), 2007–2012. ieeexplore.ieee.org

Schmitt, J., & Bremer, P. (2019). Towards Position-Based Technologies for Digitized Process Management on the Shop-Floor. In: Proceedings of the International Symposium on Logistics (p. 115). Würzburg. isl21.org

Schmitt, P., Schmitt, J., & Engelmann, B. (2019). Evaluation of proceedings for SMEs to conduct I4.0 projects. Procedia CIRP, 86, 257-263. doi.org/10.1016/j.procir.2020.01.007

Publikationen

Bräutigam, V., Pauli, P., Wienrich, C., Rosilius, M., Wilhelm, M., von Eitzen, I., Pfeuffer, K., & Lotzen, M. (2020).  Einsatz immersiver Assistenzsysteme bei operativen (Planungs-)Prozessen. Automation Software Engineering Kongress, 18. Nov. 2020.