@incollection{ChwallekGoelzerReichert2018, author = {Chwallek, Constanze and G{\"o}lzer, Kaan and Reichert, Walter}, title = {Faymonville - Wachstum als Komplexit{\"a}tstreiber}, series = {Fallstudienkompendium Hidden Champions - Innovationen f{\"u}r den Weltmarkt}, booktitle = {Fallstudienkompendium Hidden Champions - Innovationen f{\"u}r den Weltmarkt}, publisher = {Springer Gabler}, isbn = {978-3-658-17829-1}, doi = {10.1007/978-3-658-17829-1_18}, pages = {299 -- 312}, year = {2018}, abstract = {Die Fallstudie FAYMONVILLE besch{\"a}ftigt sich damit, wie es dem Familienunternehmen Faymonville aus Ostbelgien gelungen ist, sich zu einem der f{\"u}hrenden Hersteller in seiner Branche zu entwickeln. Die gezielte Identifizierung neuer M{\"a}rkte, die Fokussierung auf die relevanten Kundenbed{\"u}rfnisse und eine konsistente Produktpolitik mit einem abgestimmten Fertigungskonzept legen die Grundsteine f{\"u}r den Erfolg. Das vorliegende Fallbeispiel zeigt anschaulich, wie es gelingen kann, den prinzipiellen Widerspruch zwischen wirtschaftlicher und kundenindividueller Fertigung erfolgreich aufzul{\"o}sen.}, language = {de} } @incollection{KlockeKatz2017, author = {Klocke, Martina and Katz, Christiane}, title = {Heterogenit{\"a}t von MINT-Studierenden als Herausforderung}, series = {Tagungsband zum 3. Symposium zur Hochschullehre in den MINT-F{\"a}chern}, booktitle = {Tagungsband zum 3. Symposium zur Hochschullehre in den MINT-F{\"a}chern}, publisher = {Technische Hochschule N{\"u}rnberg Georg Simon Ohm}, address = {N{\"u}rnberg}, pages = {31 -- 36}, year = {2017}, language = {de} } @incollection{Klocke2018, author = {Klocke, Martina}, title = {Schulter an Schulter - Zusammenarbeit in einem differenzierten Hochschulsystem}, series = {Lehre und Lehrentwicklung an Fachhochschulen - Festschrift f{\"u}r Prof. Dr. med. W. Huhn}, booktitle = {Lehre und Lehrentwicklung an Fachhochschulen - Festschrift f{\"u}r Prof. Dr. med. W. Huhn}, publisher = {Waxmann}, address = {M{\"u}nster}, isbn = {978-3-8309-3782-1}, pages = {75 -- 80}, year = {2018}, language = {de} } @incollection{FiedlerHennMelcher2015, author = {Fiedler, Gerda and Henn, Gudrun and Melcher, Karin}, title = {ANPAK - Ein Anpassungskurs f{\"u}r Studienanf{\"a}nger in den Ingenieurwissenschaften}, series = {Qualifizierung von Studierenden im Student-Life-Cycle. Tagungsband zum Mosbacher Tag der Lehre am 23.10.2014 /}, booktitle = {Qualifizierung von Studierenden im Student-Life-Cycle. Tagungsband zum Mosbacher Tag der Lehre am 23.10.2014 /}, editor = {Morschheuser, Petra}, publisher = {Duale Hochschule Baden-W{\"u}rttemberg (DHBW)}, address = {Mosbach}, isbn = {978-3-943656-02-2}, pages = {90 -- 93}, year = {2015}, language = {de} } @incollection{EngemannDuKallweitetal.2020, author = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib}, title = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation}, series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, publisher = {IOS Press}, address = {Amsterdam}, isbn = {978-1-64368-137-5}, doi = {10.3233/FAIA200770}, pages = {89 -- 97}, year = {2020}, abstract = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.}, language = {en} } @incollection{Dreschers2023, author = {Dreschers, Martin}, title = {\S25 Arbeitsrechtliche Probleme im Rahmen der Betriebsfortf{\"u}hrung}, series = {Betriebsfortf{\"u}hrung in Restrukturierung und Insolvenz}, booktitle = {Betriebsfortf{\"u}hrung in Restrukturierung und Insolvenz}, editor = {M{\"o}nning, Rolf-Dieter}, publisher = {RWS Verlag}, address = {K{\"o}ln}, isbn = {978-3-8145-2012-4 (print)}, doi = {https://doi.org/10.15375/9783814558882-028}, pages = {947 -- 988}, year = {2023}, language = {de} } @incollection{Dreschers2023, author = {Dreschers, Martin}, title = {\S18 Grenz{\"u}berschreitende Eigenverwaltung}, series = {HRI II - Handbuch Restrukturierung in der Insolvenz}, booktitle = {HRI II - Handbuch Restrukturierung in der Insolvenz}, editor = {K{\"u}bler, Bruno M. and Bork, Reinhard and Pr{\"u}tting, Hanns}, publisher = {RWS Verlag}, address = {K{\"o}ln}, isbn = {978-3-8145-2010-0 (print)}, doi = {10.15375/9783814558714-028}, pages = {524 -- 556}, year = {2023}, language = {de} }