@inproceedings{FerreinMeessenLimpertetal.2021, author = {Ferrein, Alexander and Meeßen, Marcus and Limpert, Nicolas and Schiffer, Stefan}, title = {Compiling ROS schooling curricula via contentual taxonomies}, series = {Robotics in Education}, booktitle = {Robotics in Education}, editor = {Lepuschitz, Wilfried}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-67411-3}, doi = {10.1007/978-3-030-67411-3_5}, pages = {49 -- 60}, year = {2021}, abstract = {The Robot Operating System (ROS) is the current de-facto standard in robot middlewares. The steadily increasing size of the user base results in a greater demand for training as well. User groups range from students in academia to industry professionals with a broad spectrum of developers in between. To deliver high quality training and education to any of these audiences, educators need to tailor individual curricula for any such training. In this paper, we present an approach to ease compiling curricula for ROS trainings based on a taxonomy of the teaching contents. The instructor can select a set of dedicated learning units and the system will automatically compile the teaching material based on the dependencies of the units selected and a set of parameters for a particular training. We walk through an example training to illustrate our work.}, language = {en} } @misc{JungMuellerStaat2021, author = {Jung, Alexander and M{\"u}ller, Wolfram and Staat, Manfred}, title = {Corrigendum to "Wind and fairness in ski jumping: A computer modelling analysis" [J. Biomech. 75 (2018) 147-153]}, series = {Journal of Biomechanics}, volume = {128}, journal = {Journal of Biomechanics}, number = {Article number: 110690}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0021-9290}, doi = {10.1016/j.jbiomech.2021.110690}, pages = {1 Seite}, year = {2021}, language = {en} } @article{KaschSchmidtJahnetal.2021, author = {Kasch, Susanne and Schmidt, Thomas and Jahn, Simon and Eichler, Fabian and Thurn, Laura and Bremen, Sebastian}, title = {L{\"o}sungsans{\"a}tze und Verfahrenskonzepte zum Laserstrahlschmelzen von Glas}, series = {Schweissen und Schneiden}, volume = {73}, journal = {Schweissen und Schneiden}, number = {Heft 1-2}, publisher = {DVS Verlag}, address = {D{\"u}sseldorf}, isbn = {0036-7184}, pages = {32 -- 39}, year = {2021}, language = {de} } @article{PoghossianSchoening2021, author = {Poghossian, Arshak and Sch{\"o}ning, Michael Josef}, title = {Recent progress in silicon-based biologically sensitive field-effect devices}, series = {Current Opinion in Electrochemistry}, journal = {Current Opinion in Electrochemistry}, number = {Article number: 100811}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2451-9103}, doi = {10.1016/j.coelec.2021.100811}, year = {2021}, abstract = {Biologically sensitive field-effect devices (BioFEDs) advantageously combine the electronic field-effect functionality with the (bio)chemical receptor's recognition ability for (bio)chemical sensing. In this review, basic and widely applied device concepts of silicon-based BioFEDs (ion-sensitive field-effect transistor, silicon nanowire transistor, electrolyte-insulator-semiconductor capacitor, light-addressable potentiometric sensor) are presented and recent progress (from 2019 to early 2021) is discussed. One of the main advantages of BioFEDs is the label-free sensing principle enabling to detect a large variety of biomolecules and bioparticles by their intrinsic charge. The review encompasses applications of BioFEDs for the label-free electrical detection of clinically relevant protein biomarkers, deoxyribonucleic acid molecules and viruses, enzyme-substrate reactions as well as recording of the cell acidification rate (as an indicator of cellular metabolism) and the extracellular potential.}, language = {en} } @misc{Huebert2021, type = {Master Thesis}, author = {Huebert, Edgar}, title = {The Last Sketch}, publisher = {FH Aachen}, address = {Aachen}, pages = {65 Seiten}, year = {2021}, abstract = {Das Projekt thematisiert, in Form eines Animationsfilms, den Umgang eines Vaters mit dem Tod seines Kindes und den Versuch den Weg zur{\"u}ck zu sich selbst und ins Leben zu finden. Das Ziel war es die Emotionen der Schauspieler in einen Animationsfilm authentisch zu implementieren. Um den Animationsfilm situationsgerecht erz{\"a}hlen zu k{\"o}nnen, wurde das Verst{\"a}ndnis f{\"u}r Trauer in den Vordergrund gestellt. Dazu wurden digitale Drehs durchgef{\"u}hrt und viele Bereiche der 3D Gestaltung angewendet. Viele der Betroffenen erleben besonders in den ersten Tagen nach dem Verlust ihres Kindes nicht das notwendige Verst{\"a}ndnis f{\"u}r ihre Trauer. Diese Projektarbeit m{\"o}chte aufzeigen, wie unterschiedlich Menschen trauern und wie sie sich in ihrer Verschiedenheit verlieren k{\"o}nnen, besonders wenn es um das gemeinsame Kind geht. Wenn ein Kind im Sterben liegt, steht f{\"u}r die Eltern sein Wohlbefinden an erster Stelle. Sie wollen alles richtig machen. Der Protagonist des Films (Teo) und seine Frau Mia haben jedoch unterschiedliche Vorstellung davon, was das Richtige ist und auch nach dem Tod ihres Kindes haben sie unterschiedliche Bew{\"a}ltigungsstrategien, um mit diesem Schicksalsschlag umzugehen. Einer der Gr{\"u}nde, warum 80\% der Ehepaare sich nach so einem Schicksalsschlag trennen liegt in genau dieser Problematik, weswegen es wichtig ist, diese Thematik zu beleuchten.}, language = {de} } @inproceedings{HeuermannHarzheimMuehmel2021, author = {Heuermann, Holger and Harzheim, Thomas and M{\"u}hmel, Marc}, title = {A maritime harmonic radar search and rescue system using passive and active tags}, series = {2020 17th European Radar Conference (EuRAD)}, booktitle = {2020 17th European Radar Conference (EuRAD)}, publisher = {IEEE}, address = {New York, NY}, isbn = {978-2-87487-061-3}, doi = {10.1109/EuRAD48048.2021.00030}, pages = {73 -- 76}, year = {2021}, abstract = {This article introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested attached to life jackets and a rescue boat. This system was able to detect and range the active tags up to a range of 5800 m in tests on the Baltic Sea with an antenna input power of only 100 W. All electronic GHz components of the system, excluding the S-band power amplifier, were custom developed for this purpose. Special attention is given to the performance and conceptual differences between passive and active tags used in the system and integration with a maritime X-band navigation radar is demonstrated.}, language = {en} } @misc{Bartsch2021, type = {Master Thesis}, author = {Bartsch, Janosch}, title = {Kleidung {\"u}ber Kleidung: eine Bekleidungsserie, die {\"u}ber die Bekleidungsindustrie informiert}, publisher = {FH Aachen}, address = {Aachen}, school = {Fachhochschule Aachen}, pages = {182 Seiten}, year = {2021}, abstract = {Kleidung ist ein Kommunikationsmedium. Im Projekt wird Bekleidung als Informationstr{\"a}ger genutzt, um {\"u}ber die verschiedenen Abschnitte im Zyklus eines Kleidungsst{\"u}cks sowie die Missst{\"a}nde in der Bekleidungsindustrie zu informieren. Entstanden sind 6 Kleidungsst{\"u}cke, jeweils eins pro Abschnitt im Zyklus, vom Baumwollanbau {\"u}ber Spinnereien, Produktionsfabriken, dem Einzelhandel und Gebrauch bis zur Entsorgung. Die einfach gehaltenen Kleidungsst{\"u}cke besitzen Aufdrucke. {\"U}ber eine Augmented-Reality-App k{\"o}nnen die Kleidungsst{\"u}cke gescannt werden. In Kombination mit der digitalen Ebene werden die Aufdrucke zu Informationsgrafiken. So wird unter anderem {\"u}ber die grausamen Arbeitsumst{\"a}nde in der Produktion informiert oder dar{\"u}ber, dass wir unsere Kleidungsst{\"u}cke durchschnittlich nur 4x anziehen. Immer geht es darum, den Betrachter dazu anzuregen, seine Konsumentscheidungen zu {\"u}berdenken.}, language = {de} } @book{Laack2021, author = {Laack, Walter van}, title = {Gr{\"o}ßer als das ganze Universum}, publisher = {van Laack GmbH}, address = {Aachen}, isbn = {978-3-936624-38-0}, pages = {120 Seiten}, year = {2021}, language = {de} } @incollection{HoffschmidtAlexopoulosRauetal.2021, author = {Hoffschmidt, Bernhard and Alexopoulos, Spiros and Rau, Christoph and Sattler, Johannes Christoph and Anthrakidis, Anette and Teixeira Boura, Cristiano Jos{\´e} and O'Connor, B. and Chico Caminos, Ricardo Alexander and Rend{\´o}n, C. and Hilger, P.}, title = {Concentrating Solar Power}, series = {Earth systems and environmental sciences}, booktitle = {Earth systems and environmental sciences}, publisher = {Elsevier}, address = {Amsterdam}, isbn = {978-0-12-409548-9}, doi = {10.1016/B978-0-12-819727-1.00089-3}, year = {2021}, abstract = {The focus of this chapter is the production of power and the use of the heat produced from concentrated solar thermal power (CSP) systems. The chapter starts with the general theoretical principles of concentrating systems including the description of the concentration ratio, the energy and mass balance. The power conversion systems is the main part where solar-only operation and the increase in operational hours. Solar-only operation include the use of steam turbines, gas turbines, organic Rankine cycles and solar dishes. The operational hours can be increased with hybridization and with storage. Another important topic is the cogeneration where solar cooling, desalination and of heat usage is described. Many examples of commercial CSP power plants as well as research facilities from the past as well as current installed and in operation are described in detail. The chapter closes with economic and environmental aspects and with the future potential of the development of CSP around the world.}, language = {en} } @inproceedings{SchulteEggert2021, author = {Schulte, Maximilian and Eggert, Mathias}, title = {Predicting hourly bitcoin prices based on long short-term memory neural networks}, series = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021}, booktitle = {Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021}, pages = {16 Seiten}, year = {2021}, abstract = {Bitcoin is a cryptocurrency and is considered a high-risk asset class whose price changes are difficult to predict. Current research focusses on daily price movements with a limited number of predictors. The paper at hand aims at identifying measurable indicators for Bitcoin price movements and the development of a suitable forecasting model for hourly changes. The paper provides three research contributions. First, a set of significant indicators for predicting the Bitcoin price is identified. Second, the results of a trained Long Short-term Memory (LSTM) neural network that predicts price changes on an hourly basis is presented and compared with other algorithms. Third, the results foster discussions of the applicability of neural nets for stock price predictions. In total, 47 input features for a period of over 10 months could be retrieved to train a neural net that predicts the Bitcoin price movements with an error rate of 3.52 \%.}, language = {en} }