TY - JOUR A1 - Stapenhorst, Carolin A1 - Zabek, Magdalena A1 - Hildebrand, Linda T1 - Communication process and information flow in the architectural planning context JF - Creativity game : theory and practice of spatial planning N2 - Against the background of growing data in everyday life, data processing tools become more powerful to deal with the increasing complexity in building design. The architectural planning process is offered a variety of new instruments to design, plan and communicate planning decisions. Ideally the access to information serves to secure and document the quality of the building and in the worst case, the increased data absorbs time by collection and processing without any benefit for the building and its user. Process models can illustrate the impact of information on the design- and planning process so that architect and planner can steer the process. This paper provides historic and contemporary models to visualize the architectural planning process and introduces means to describe today’s situation consisting of stakeholders, events and instruments. It explains conceptions during Renaissance in contrast to models used in the second half of the 20th century. Contemporary models are discussed regarding their value against the background of increasing computation in the building process. KW - Planning process KW - Manifestations KW - Tools KW - Conditions KW - Actors KW - Structure and Stages KW - Design process Y1 - 2018 U6 - https://doi.org/10.15292/IU-CG.2018.06.066-073 IS - 6 SP - 66 EP - 73 PB - University of Ljubljana CY - Ljubljana ER - TY - CHAP A1 - Stapenhorst, Carolin ED - Hasse, Jürgen T1 - Heimat entwerfen? BT - Eine Annäherung durch Programme und Formen T2 - Das Eigene und das Fremde - Heimat in Zeiten der Mobilität Y1 - 2019 SN - 978-3-495-49029-7 (print) SN - 978-3-495-81756-8 (online) U6 - https://doi.org/10.5771/9783495817568 SP - 215 EP - 246 PB - Karl Alber CY - Baden-Baden ER - TY - JOUR A1 - Stapenhorst, Carolin A1 - Motta, Luciano T1 - Città Olivettiana in Ivrea, Italien JF - Bauwelt Y1 - 2018 SN - 0005-6855 VL - 109 IS - 22 SP - 20 EP - 31 PB - Bauverlag BV CY - Gütersloh ER - TY - JOUR A1 - Stapenhorst, Carolin A1 - Dutto, Andrea Alberto T1 - Notes on conceptual learning in architecture JF - Cartha - The Form of Form Y1 - 2016 N1 - Auch enthalten in der Buchausgabe "CARTHA – On the Form of Form", ISBN 978-3-03860-070-1, Park Books, 2019 CY - Basel ER - TY - BOOK A1 - Stapenhorst, Carolin A1 - Meerbach, Kerstin T1 - Studie zur forschungsbezogenen Lehre an der Fakultät für Architektur der RWTH Aachen KW - Architekturforschung KW - Forschungsorientierte Lehre KW - Didaktik KW - Architekturwissenschaft Y1 - 2019 U6 - https://doi.org/10.18154/rWth-2019-06163 PB - RWTH Aachen CY - Aachen ER - TY - CHAP A1 - Stapenhorst, Carolin ED - Lyngsø Christensen, Rikke ED - Drach, Ekkerhard ED - Gasperoni, Lidia ED - Hallama, Doris ED - Hougaard, Anna Katrine ED - Liptau, Ralf T1 - Multidimensionale Arbeitsblätter T2 - Artefakte des Entwerfens N2 - Können wir Skizzenblätter, die gemischte Systeme von Text und Bildanteilen zeigen, als räumliche und zeitliche Verdichtung von Reflexionsmilieus verstehen? Wie wirkt sich die durch die räumliche Begrenzung des Blatts bedingte gleichzeitige Anwesenheit von Text und Bild aus, welche Wechselwirkungen entfalten sich? Diese Fragenstellungen führen zur Definition der ‚Multidimensionalen Arbeitsblätter‘, die als geeignetes Medium der Analyse von entwerferischen Denkprozessen verstanden werden. Anhand von fünf Beispielen wird beschrieben, wie durch dekompositorische Prozeduren Zeichnungsgenealogien sichtbar gemacht werden können, die intensive Auskunft über Entwurfshandlungen geben. Y1 - 2020 SN - 978-3-7983-3256-0 U6 - https://doi.org/10.14279/depositonce-8508.2 SN - 2566-9656 N1 - Der Tagungsband versammelt Beiträge des 4. Forums Architekturwissenschaft zum architektonischen Entwerfen und seinen Artefakte. Die vom Netzwerk Architekturwissenschaft ausgerichtete Konferenz hat im November 2017 an der TU Berlin stattgefunden. SP - 202 EP - 224 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Maurer, Florian A1 - Sejdija, Jonathan A1 - Sander, Volker T1 - Decentralized energy data storages through an Open Energy Database Server N2 - In the research domain of energy informatics, the importance of open datais rising rapidly. This can be seen as various new public datasets are created andpublished. Unfortunately, in many cases, the data is not available under a permissivelicense corresponding to the FAIR principles, often lacking accessibility or reusability.Furthermore, the source format often differs from the desired data format or does notmeet the demands to be queried in an efficient way. To solve this on a small scale atoolbox for ETL-processes is provided to create a local energy data server with openaccess data from different valuable sources in a structured format. So while the sourcesitself do not fully comply with the FAIR principles, the provided unique toolbox allows foran efficient processing of the data as if the FAIR principles would be met. The energydata server currently includes information of power systems, weather data, networkfrequency data, European energy and gas data for demand and generation and more.However, a solution to the core problem - missing alignment to the FAIR principles - isstill needed for the National Research Data Infrastructure. KW - Open Data KW - Database KW - Time-series Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.10607895 N1 - 1st NFDI4Energy Conference (NFDI4Energy) , Hanover, Germany, 20-21 February 2024 ER - TY - CHAP A1 - Maurer, Florian A1 - Nitsch, Felix A1 - Kochems, Johannes A1 - Schimeczek, Christoph A1 - Sander, Volker A1 - Lehnhoff, Sebastian T1 - Know your tools - a comparison of two open agent-based energy market models T2 - 2024 20th International Conference on the European Energy Market (EEM) N2 - Due to the transition to renewable energies, electricity markets need to be made fit for purpose. To enable the comparison of different energy market designs, modeling tools covering market actors and their heterogeneous behavior are needed. Agent-based models are ideally suited for this task. Such models can be used to simulate and analyze changes to market design or market mechanisms and their impact on market dynamics. In this paper, we conduct an evaluation and comparison of two actively developed open-source energy market simulation models. The two models, namely AMIRIS and ASSUME, are both designed to simulate future energy markets using an agent-based approach. The assessment encompasses modelling features and techniques, model performance, as well as a comparison of model results, which can serve as a blueprint for future comparative studies of simulation models. The main comparison dataset includes data of Germany in 2019 and simulates the Day-Ahead market and participating actors as individual agents. Both models are comparable close to the benchmark dataset with a MAE between 5.6 and 6.4 €/MWh while also modeling the actual dispatch realistically. KW - Comparative simulation KW - Measurement KW - Analytical models KW - Renewable energy sources KW - Simulation KW - Instruments KW - Refining KW - Focusing KW - Agent-based modeling KW - Energy market KW - Open source KW - Energy dispatch Y1 - 2024 U6 - https://doi.org/10.1109/EEM60825.2024.10609021 N1 - 2024 20th International Conference on the European Energy Market (EEM), 10-12 June 2024, Istanbul, Turkiye PB - IEEE CY - New York, NY ER - TY - CHAP A1 - Chwallek, Constanze A1 - Goezler, Kaan A1 - Reichert, Walter ED - Büchler, Jan-Philipp ED - Hoon, Christina T1 - Handling growth as a complexity driver at Faymonville T2 - Hidden champions case compendium: Leading global markets – case studies and texts N2 - The FAYMONVILLE case study describes how the family-owned company Faymonville from eastern Belgium has succeeded in becoming one of the leading manufacturers in its sector. The targeted identification of new markets, the focus on relevant customer needs, and a consistent product policy with a coordinated manufacturing concept lay the foundations for success. In this case study, students can learn about how a company can successfully resolve the fundamental contradiction between economic and customized production. Y1 - 2024 SN - 978-3-658-44300-9 U6 - https://doi.org/10.1007/978-3-658-44300-9_14 N1 - Englische Ausgabe von "Faymonville – Wachstum als Komplexitätstreiber" (https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/8235) SP - 209 EP - 221 PB - Springer Fachmedien CY - Wiesbaden ER - TY - JOUR A1 - Kohl, Philipp A1 - Krämer, Yoka A1 - Fohry, Claudia A1 - Kraft, Bodo ED - Fred, Ana ED - Hadjali, Allel ED - Gusikhin, Oleg ED - Sansone, Carlo T1 - Scoping review of active learning strategies and their evaluation environments for entity recognition tasks JF - Deep learning theory and applications N2 - We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time). Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition. Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible. Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain. Y1 - 2024 SN - 978-3-031-66694-0 (online ISBN) SN - 978-3-031-66693-3 (print ISBN) U6 - https://doi.org/10.1007/978-3-031-66694-0_6 SP - 84 EP - 106 PB - Springer CY - Cham ER -