@misc{OPUS4-10313, title = {Dimensionen 1-2020: Magazin der FH Aachen University of Applied Sciences - Bibliotheken im 21. Jahrhundert}, address = {Aachen}, organization = {Fachhochschule Aachen}, pages = {47 Seiten}, year = {2020}, abstract = {04| Wissen stirbt nicht aus 12| Mathe ist sexy! 15| „Bei Gr{\"u}n bitte mit Abstand eintreten" 16| Maschinenbau — mehr als nur Metall 17| Brasilianischer Doktorand der zweiten Generation 18| Aus Alt mach Neu 20| Virtuelle Verleihung 21| Ehrenvolle Auszeichnung 22| Mit Regenjacke und Gummistiefeln 24| Ein Herz aus Beton 27| Wissenstransfer f{\"u}r die Automobilindustrie 28| Mission zum Mond 30| Eine Br{\"u}cke, die sich selbst {\"u}berwacht 32| Licht an — Kanal frei 34| Ein Tropfen auf den heißen Stein 36| Ist ein Studium das Richtige f{\"u}r mich? 38| Himmelblau und Feuerrot 41| Kopfnuss 41| Impressum 42| Mit Leichtigkeit und Transparenz 46| Dialektik des Stillstands}, language = {de} } @misc{Czarnecki2020, author = {Czarnecki, Christian}, title = {Buchbesprechung : Anwendungsorientierte Wirtschaftsinformatik - Strategische Planung, Entwicklung und Nutzung von Informationssystemen}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik (AKWI-Journal)}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik (AKWI-Journal)}, publisher = {Technische Hochschule Wildau}, address = {Wildau}, issn = {2296-4592}, doi = {10.26034/lu.akwi.2020.3264}, pages = {101 -- 101}, year = {2020}, language = {de} } @article{BensbergAuthCzarnecki2020, author = {Bensberg, Frank and Auth, Gunnar and Czarnecki, Christian}, title = {Literaturanalyse mit Text Mining}, series = {E-Learning and Education (eleed)}, journal = {E-Learning and Education (eleed)}, number = {13}, editor = {Haake, J{\"o}rg M.}, publisher = {FernUniversit{\"a}t in Hagen}, address = {Hagen}, issn = {1860-7470}, pages = {1 -- 13}, year = {2020}, abstract = {Die Durchf{\"u}hrung einer systematischen Literaturrecherche ist eine zentrale Kompetenz wissenschaftlichen Arbeitens und bildet daher einen festen Ausbildungsbestandteil von Bachelor- und Masterstudieng{\"a}ngen. In entsprechenden Lehrveranstaltungen werden Studierende zwar mit den grundlegenden Hilfsmitteln zur Suche und Verwaltung von Literatur vertraut gemacht, allerdings werden die Potenziale textanalytischer Methoden und Anwendungssysteme (Text Mining, Text Analytics) dabei zumeist nicht abgedeckt. Folglich werden Datenkompetenzen, die zur systemgest{\"u}tzten Analyse und Erschließung von Literaturdaten erforderlich sind, nicht hinreichend ausgepr{\"a}gt. Um diese Kompetenzl{\"u}cke zu adressieren, ist an der Hochschule Osnabr{\"u}ck eine Lehrveranstaltung konzipiert und projektorientiert umgesetzt worden, die sich insbesondere an Studierende wirtschaftswissenschaftlicher Studieng{\"a}nge richtet. Dieser Beitrag dokumentiert die fachliche sowie technische Ausgestaltung dieser Veranstaltung und zeigt Potenziale f{\"u}r die k{\"u}nftige Weiterentwicklung auf.}, language = {de} } @incollection{SchneiderWisselinkNoelleetal.2020, author = {Schneider, Dominik and Wisselink, Frank and N{\"o}lle, Nikolai and Czarnecki, Christian}, title = {Influence of artificial intelligence on commercial interactions in the consumer market}, series = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder}, booktitle = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder}, editor = {Bruhn, Manfred and Hadwich, Karsten}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-30167-5 (Print)}, doi = {10.1007/978-3-658-30168-2_7}, pages = {183 -- 205}, year = {2020}, abstract = {Recently, novel AI-based services have emerged in the consumer market. AI-based services can affect the way consumers take commercial decisions. Research on the influence of AI on commercial interactions is in its infancy. In this chapter, a framework creating a first overview of the influence of AI on commercial interactions is introduced. This framework summarizes the findings of comparing numerous customer journeys of novel AI-based services with corresponding non-AI equivalents.}, language = {en} } @article{GerhardsSanderZivkovicetal.2020, author = {Gerhards, Michael and Sander, Volker and Zivkovic, Miroslav and Belloum, Adam and Bubak, Marian}, title = {New approach to allocation planning of many-task workflows on clouds}, series = {Concurrency and Computation: Practice and Experience}, volume = {32}, journal = {Concurrency and Computation: Practice and Experience}, number = {2 Article e5404}, publisher = {Wiley}, address = {Chichester}, issn = {1532-0634}, doi = {10.1002/cpe.5404}, pages = {1 -- 16}, year = {2020}, abstract = {Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.}, language = {en} } @inproceedings{UlmerWollertChengetal.2020, author = {Ulmer, Jessica and Wollert, J{\"o}rg and Cheng, C. and Dowey, S.}, title = {Enterprise Gamification f{\"u}r produzierende mittelst{\"a}ndische Unternehmen}, series = {Automation 2020 : Shaping Automation for our Future}, booktitle = {Automation 2020 : Shaping Automation for our Future}, publisher = {VDI-Verlag}, address = {D{\"u}sseldorf}, isbn = {978-3-18-092375-8}, doi = {10.51202/9783181023754-157}, pages = {157 -- 165}, year = {2020}, abstract = {Die fortschreitende Digitalisierung und Globalisierung fordert von den Unternehmen eine erh{\"o}hte Flexibilit{\"a}t und Anpassungsf{\"a}higkeit. Um dies zu erreichen, sind qualifizierte und engagierte Mitarbeiter/-innen unabdingbar. Gamification bietet die M{\"o}glichkeit, Besch{\"a}ftigte individuell in ihren T{\"a}tigkeiten zu unterst{\"u}tzen und mittels Feedbackmechanismen zu motivieren. In dieser Arbeit wird ein Gamification Konzept bestehend aus einem intelligenten Arbeitsplatz, einer Wissensdatenbank und einer Gamification Plattform vorgestellt, welches an bestehende Produktionsumgebungen adaptiert werden kann. Das Konzept wird am Beispiel der Longboardproduktion in der Industrie 4.0 Modellfabrik der FH Aachen implementiert und evaluiert.}, language = {de} } @article{MoretAlkemadeUpcraftetal.2020, author = {Moret, J.L.T.M. and Alkemade, J. and Upcraft, T.M. and Paulßen, Elisabeth and Wolterbeek, H.T. and Ommen, J.R. van and Denkova, A.G.}, title = {The application of atomic layer deposition in the production of sorbents for ⁹⁹Mo/⁹⁹ᵐTc generator}, series = {Applied Radiation and Isotopes}, volume = {164}, journal = {Applied Radiation and Isotopes}, number = {109266}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0969-8043}, doi = {10.1016/j.apradiso.2020.109266}, pages = {9}, year = {2020}, abstract = {New production routes for ⁹⁹Mo are steadily gaining importance. However, the obtained specific activity is much lower than currently produced by the fission of U-235. To be able to supply hospitals with ⁹⁹Mo/⁹⁹ᵐTc generators with the desired activity, the adsorption capacity of the column material should be increased. In this paper we have investigated whether the gas phase coating technique Atomic Layer Deposition (ALD), which can deposit ultra-thin layers on high surface area materials, can be used to attain materials with high adsorption capacity for ⁹⁹Mo. For this purpose, ALD was applied on a silica-core sorbent material to coat it with a thin layer of alumina. This sorbent material shows to have a maximum adsorption capacity of 120 mg/g and has a ⁹⁹ᵐTc elution efficiency of 55 ± 2\% based on 3 executive elutions.}, language = {en} } @article{PfaffGidaszewskiSchmidt2020, author = {Pfaff, Raphael and Gidaszewski, Lars and Schmidt, Bernd}, title = {Ber{\"u}cksichtigung von No Fault Found im Diagnose- und Instandhaltungssystem von Schienenfahrzeugen}, series = {ETR - Eisenbahntechnische Rundschau}, journal = {ETR - Eisenbahntechnische Rundschau}, number = {5}, publisher = {DVV Media Group}, address = {Hamburg}, issn = {0013-2845}, pages = {56 -- 59}, year = {2020}, abstract = {Intermittierende und nicht reproduzierbare Fehler, auch als No Fault Found bezeichnet, treten in praktisch allen Bereichen auf und sorgen f{\"u}r hohe Kosten. Diese sind h{\"a}ufig auf unpr{\"a}zise Fehlerbeschreibungen zur{\"u}ckzuf{\"u}hren. Im vorliegenden Beitrag werden Anpassungen der Vorgehensweise bei der Entwicklung und Anpassungen des Diagnosesystems vorgeschlagen.}, language = {de} } @inproceedings{SchmidtsKraftWinkensetal.2020, author = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert}, title = {Catalog integration of low-quality product data by attribute label ranking}, series = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1}, booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1}, publisher = {SciTePress}, address = {Set{\´u}bal, Portugal}, isbn = {978-989-758-440-4}, doi = {10.5220/0009831000900101}, pages = {90 -- 101}, year = {2020}, abstract = {The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.}, language = {en} } @article{FrankoDuKallweitetal.2020, author = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko}, title = {Design of a Multi-Robot System for Wind Turbine Maintenance}, series = {Energies}, volume = {13}, journal = {Energies}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {10.3390/en13102552}, pages = {Article 2552}, year = {2020}, abstract = {The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.}, language = {en} }