TY - CHAP A1 - Aspöck, Lukas A1 - Brinkmann, Fabian A1 - Ackermann, David A1 - Weinzierl, Stefan A1 - Vorländer, Michael ED - Seeber, Bernhard T1 - Eine Datenbank zur Validierung von akustischen Simulationen T2 - Fortschritte der Akustik – DAGA 2018: 44. Jahrestagung für Akustik, 19.-22. März 2018 in München Y1 - 2018 SN - 978-3-939296-13-3 SP - 1337 EP - 1337 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Böhm, Christoph A1 - Ackermann, David A1 - Weinzierl, Stefan ED - Seeber, Bernhard T1 - Eine mehrkanalige und nachhallfreie Aufnahme von Beethovens 8. Sinfonie T2 - Fortschritte der Akustik – DAGA 2018 - 44. Jahrestagung für Akustik 19.-22. März 2018, München Y1 - 2018 UR - https://doi.org/10.14279/depositonce-8678 SN - 978-3-939296-14-0 U6 - https://doi.org/10.14279/depositonce-8678 SP - 112 EP - 115 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Bögelein, Silke A1 - Brinkmann, Fabian A1 - Ackermann, David A1 - Weinzierl, Stefan T1 - Localization Cues of a Spherical Head Model [Abstract] T2 - Fortschritte der Akustik – DAGA 2018 - 44. Jahrestagung für Akustik 19.-22. März 2018, München Y1 - 2018 UR - https://pub.dega-akustik.de/DAGA_2018/data/articles/000459.pdf SN - 978-3-939296-13-3 SP - 347 EP - 350 PB - Deutsche Gesellschaft für Akustik e.V. ER - TY - JOUR A1 - Kob, Malte A1 - Ackermann, David A1 - Weinzierl, Stefan A1 - Zotter, Franz T1 - Dynamische Richtwirkung von Musikinstrumenten JF - Akustik Journal Y1 - 2018 UR - https://www.dega-akustik.de/fileadmin/dega-akustik.de/publikationen/akustik-journal/18-03/akustik_journal_2018_03_online_artikel3.pdf SN - 2569-1597 VL - 3 SP - 28 EP - 38 PB - Deutsche Gesellschaft für Akustik e.V. ER - TY - GEN A1 - Böhm, Christoph A1 - Ackermann, David A1 - Weinzierl, Stefan T1 - A Multi-channel Anechoic Orchestra Recording of Beethoven's Symphony No. 8 op. 93: Audio Recordings and Accompanying Data N2 - This data set contains an excerpt of the anechoic recording of the Symphony No. 8 in F Major, Op. 93 by Ludwig van Beethoven, performed by the "Orchester Wiener Akademie" conducted by Martin Haselböck. It was recorded in the anechoic chamber of the TU Berlin. KW - anechoic audio KW - auralization KW - virtual acoustics Y1 - 2018 UR - https://doi.org/10.17743/jaes.2020.0056 U6 - https://doi.org/10.14279/depositonce-6729.2 N1 - DFG, FOR 1557, Simulation and Evaluation of Acoustical Environments (SEACEN) PB - TU Berlin CY - Berlin ER - TY - GEN A1 - Ackermann, David A1 - Ilse, Michael A1 - Grigoriev, Dmitry A1 - Lepa, Steffen A1 - Pelzer, Sönke A1 - Vorländer, Michael A1 - Weinzierl, Stefan T1 - A Ground Truth on Room Acoustical Analysis and Perception (GRAP) N2 - A database of 35 virtual room models was created that can serve as a ground truth for the future development of room acoustical parameters beyond ISO 3382-1. Some of the room models are based on existing performance venues, however without yielding a perfect match of measured and simulated acoustical parameters. Others are artificial designs which were made to systematically cover a wide variety of room acoustical properties. Each of the 35 acoustical environments included in the GRAP database consists of three components: (1) the room model which specifies source and receiver positions and the acoustic properties of the surfaces, (2) the simulated monaural and binaural impulse responses, as well as (3) the item and factor scores, based on a listening test using the Room Acoustic Quality Inventory (RAQI). KW - room acoustical analysis KW - virtual acoustic KW - room acoustic simulation Y1 - 2018 U6 - https://doi.org/10.14279/depositonce-7003.4 N1 - DFG, FOR 1557, Simulation and Evaluation of Acoustical Environments (SEACEN) PB - TU Berlin CY - Berlin ER - TY - GEN A1 - Ackermann, David A1 - Böhm, Christoph A1 - Weinzierl, Stefan T1 - A Database on Musicians’ Movements During Musical Performances N2 - The movements of 20 musicians playing 11 different musical instruments, including all standard orchestral instruments, were captured during solo performances by means of a motion capturing system under concert-like conditions. KW - Musical Acoustics KW - Virtual Acoustc KW - Room Acoustic Y1 - 2018 U6 - https://doi.org/10.14279/depositonce-7469 N1 - DFG, FOR 1557, Simulation and Evaluation of Acoustical Environments (SEACEN) PB - TU Berlin ER - TY - CHAP A1 - Spindler, Susanne ED - Blank, Beate ED - Gögercin, Süleyman ED - Sauer, Karin E. ED - Schramkowski, Barbara T1 - Von Begrenzungen und Bewegungen: Konfliktfelder Sozialer Arbeit im Kontext Flucht T2 - Soziale Arbeit in der Migrationsgesellschaft: Grundlagen – Konzepte – Handlungsfelder KW - FBSK_Webseite KW - Sozialarbeit KW - Migration KW - Flucht KW - Inklusion (Soziologie) KW - Ausgrenzung KW - Diskriminierung KW - Solidarität Y1 - 2018 SN - 978-3-658-19540-3 U6 - https://doi.org/10.1007/978-3-658-19540-3_48 SP - 575 EP - 583 PB - Springer Nature CY - Wiesbaden ER - TY - CHAP A1 - Kim, Hyun Kang ED - Schweppenhäuser, Gerhard T1 - Ideologie, Phantasie, Medien: Žižek T2 - Handbuch der Medienphilosophie KW - Ästhetik KW - Medientheorie KW - Žižek, Slavoj Y1 - 2018 SN - 978-3-534-26940-2 SP - 183 EP - 190 PB - Wissenschaftliche Buchgesellschaft CY - Darmstadt ER - TY - CHAP A1 - Krieter, Philipp A1 - Breiter, Andreas ED - Krömker, Detlef ED - Schroeder, Ulrik T1 - Track every move of your students: log files for Learning Analytics from mobile screen recordings T2 - DeLFI 2018: die 16. E-Learning Fachtagung Informatik der Gesellschaft für Informatik e.V., 10.-12. September 2018, Frankfurt am Main, Deutschland N2 - One of the main data sources for Learning Analytics are Learning Management Systems (LMS).These log files are limited though to interactions within the LMS and cannot take into account interactions of students in other applications and software in a digital learning environment. In this paper, we present an approach for generating log files based on mobile screen recordings as a data source for Learning Analytics. Logging mobile application usage is limited to rather general system events unless you have access to the source code of the operating system or applications.To address this we generate log files from mobile screen recordings by applying computer vision and machine learning methods to detect individually defined events. In closing, we discuss how these log files can be used as a data source for Learning Analytics and relevant ethical concerns. KW - Learning Analytics KW - mobile screen recordings KW - Computer Vison KW - data sources KW - Human Computer Interaction KW - log files Y1 - 2018 SN - 9783885796787 U6 - https://doi.org/10.18154/RWTH-2018-229913 VL - Lecture Notes in Informatics(LNI)-Proceedings, Vol. P-284 SP - 231 EP - 242 PB - Köllen Druck+Verlag CY - Bonn ER - TY - CHAP A1 - Krieter, Philipp A1 - Breiter, Andreas ED - Balie, Lynne ED - Oliver, Nuria T1 - Analyzing mobile application usage: generating log files from mobile screen recordings T2 - Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona Spain, September 3 - 6, 2018 Y1 - 2018 SN - 978-1-4503-5898-9 U6 - https://doi.org/10.1145/3229434.3229450 SP - 1 EP - 10 PB - ACM CY - New York ER - TY - CHAP A1 - Weber, Konradin A1 - Kramer, Tim A1 - Fischer, Christian A1 - Pohl, Tobias A1 - Schulenberg, Malte A1 - Heweling, Georg A1 - Böhlke, Christoph T1 - Testing and evaluation of low-cost sensors for fine particulate matter PM10 and PM2.5 T2 - Geophysical Research Abstracts: EGU General Assembly 2018 N2 - It is well known from medical studies that fine particulate matter has adverse effects to human health. However, exceeding of limit values for fine particulate matter PM10 and PM2.5 is still a problem in major German cities. Therefore, fine particulate matter is monitored in Germany by environmental state agencies at fixed stations with certified instruments. These certified instruments are able to deliver reliable and high quality results. However, because of the costs of these certified instruments and the maintenance efforts, only few measurements stations are placed in the cities at places, which are regarded as representative for the air pollution. On the other hand, it is of interest to know the concentration of fine particulate matter in areas and at places, which are not covered by the fixed measurement stations of the environmental state agencies. In this situation citizen science projects started in Germany using low cost sensors for fine particulate matter. In principle, with these low cost sensors citizens could measure fine particulate matter at places and in situations of their interests. However, at that point the question of reliability of the low cost sensor data arises. Therefore the Duesseldorf University of Applied Sciences (HSD) in Germany started a project for the testing and evaluation of low-cost sensors. For this reason 20 low-cost sensor units have been built up based on the SDS 011 sensor of Nova Fitness Inc. within the Laboratory for Environmental Measurement Techniques at HSD. The sensor measurement data can be transferred into a network and can be visualized on a digital map. This testing and evaluation at HSD of the low-cost sensors comprised: • Short term and long term comparison studies within the laboratory and at different urban sites with a certifiedwide range aerosol measurement system (Grimm WRAS). • Short term and long term comparison studies within the laboratory and at different urban sites with mid-cost sensors (Alphasense AN2). • Intercomparison testing and evaluation of sensors of the same production charge. • Intercomparison testing and evaluation of sensors of different production charges. • Testing and evaluation of the sensors at different meteorological conditions. The results of this testing and evaluation will be presented at the conference. Moreover, the potential of additional applications for low-cost sensors, e.g. for mobile measurements (multicopter UAS, bicycles, pedestrians) or for the validation of air pollution models, will be discussed KW - Luftreinhaltung KW - Messtechnik KW - Sensor KW - Feinstaub Y1 - 2018 UR - https://web.archive.org/web/20240706113110/https://meetingorganizer.copernicus.org/EGU2018/EGU2018-11298-1.pdf N1 - Vortragsabstract VL - 20 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Asbach, Christof A1 - Hellack, Bryan A1 - Schumacher, Stefan A1 - Bässler, Michael A1 - Spreitzer, Michael A1 - Pohl, Tobias A1 - Weber, Konradin A1 - Monz, Christian A1 - Bieder, Stefan A1 - Schultze, Thorsten A1 - Todea, Ana Maria T1 - Anwendungsmöglichkeiten und Grenzen kostengünstiger Feinstaubsensoren JF - Gefahrstoffe: Reinhaltung der Luft KW - Luftreinhaltung KW - Messtechnik KW - Sensor KW - Feinstaub Y1 - 2018 UR - https://www.ingenieur.de/fachmedien/gefahrstoffe/messverfahren/anwendungsmoeglichkeiten-und-grenzen-kostenguenstiger-feinstaubsensoren/ VL - 78 IS - 6 SP - 242 EP - 250 ER - TY - CHAP A1 - Maas, Peter A1 - Höfert, Norbert A1 - Schäfer, Klaus A1 - Weber, Konradin A1 - Richter, Andreas ED - Comerón, Adolfo ED - Kassianov, Evgueni I. ED - Schäfer, Klaus ED - Picard, Richard H. ED - Weber, Konradin T1 - Standards VDI 4211 and VDI 4212 on passive FTIR and DOAS remote sensing techniques T2 - Proceedings Volume 10786, Remote Sensing of Clouds and the Atmosphere XXIII; 107860W (2018) KW - Luftreinhaltung Y1 - 2018 U6 - https://doi.org/10.1117/12.2325145 PB - SPIE ER - TY - JOUR A1 - Naraparaju, R. A1 - Lau, H. A1 - Lange, Martin A1 - Fischer, Christian A1 - Kramer, D. A1 - Schulz, U. A1 - Weber, Konradin T1 - Integrated testing approach using a customized micro turbine for a volcanic ash and CMAS related degradation study of thermal barrier coatings JF - Surface and Coatings Technology KW - Luftreinhaltung Y1 - 2018 U6 - https://doi.org/10.1016/j.surfcoat.2018.01.030 SN - 0257-8972 VL - 337 SP - 198 EP - 208 PB - Elsevier ER - TY - JOUR A1 - Novelli, Anna A1 - Kaminski, Martin A1 - Rolletter, Michael A1 - Acir, Ismail-Hakki A1 - Bohn, Birger A1 - Dorn, Hans-Peter A1 - Li, Xin A1 - Lutz, Anna A1 - Nehr, Sascha A1 - Rohrer, Franz A1 - Tillmann, Ralf A1 - Wegener, Robert A1 - Holland, Frank A1 - Hofzumahaus, Andreas A1 - Kiendler-Scharr, Astrid A1 - Wahner, Andreas A1 - Fuchs, Hendrik T1 - Evaluation of OH and HO2 concentrations and their budgets during photooxidation of 2-methyl-3-butene-2-ol (MBO) in the atmospheric simulation chamber SAPHIR JF - Atmospheric Chemistry and Physics N2 - Several previous field studies have reported unexpectedly large concentrations of hydroxyl and hydroperoxyl radicals (OH and HO2, respectively) in forested environments that could not be explained by the traditional oxidation mechanisms that largely underestimated the observations. These environments were characterized by large concentrations of biogenic volatile organic compounds (BVOC) and low nitrogen oxide concentration. In isoprene-dominated environments, models developed to simulate atmospheric photochemistry generally underestimated the observed OH radical concentrations. In contrast, HO2 radical concentration showed large discrepancies with model simulations mainly in non-isoprene-dominated forested environments. An abundant BVOC emitted by lodgepole and ponderosa pines is 2-methyl-3-butene-2-ol (MBO), observed in large concentrations for studies where the HO2 concentration was poorly described by model simulations. In this work, the photooxidation of MBO by OH was investigated for NO concentrations lower than 200 pptv in the atmospheric simulation chamber SAPHIR at Forschungszentrum Jülich. Measurements of OH and HO2 radicals, OH reactivity (kOH), MBO, OH precursors, and organic products (acetone and formaldehyde) were used to test our current understanding of the OH-oxidation mechanisms for MBO by comparing measurements with model calculations. All the measured trace gases agreed well with the model results (within 15 %) indicating a well understood mechanism for the MBO oxidation by OH. Therefore, the oxidation of MBO cannot contribute to reconciling the unexplained high OH and HO2 radical concentrations found in previous field studies. KW - Luftreinhaltung Y1 - 2018 U6 - https://doi.org/10.5194/acp-18-11409-2018 SN - 1680-7324 N1 - Code and data availability The data from the experiments in the SAPHIR chamber used in this work are available on the EUROCHAMP data home page (https://data.eurochamp.org/, last access: 1 October 2019, EUROCHAMP, 2019). Supplement The supplement related to this article is available online at: https://doi.org/10.5194/acp-20-3333-2020-supplement. VL - 18 IS - 15 SP - 11409 EP - 11422 PB - Copernicus ER - TY - CHAP A1 - Gerhards, Claudia ED - Christians, Heiko ED - Bickenbach, Matthias ED - Wegmann, Nikolaus T1 - Snapchatten T2 - Historisches Wörterbuch des Mediengebrauchs, Bd. 2 Y1 - 2018 SN - 978-3-412-50512-7 SP - 425 EP - 439 PB - Böhlau CY - Köln, Weimar, Wien ER - TY - CHAP A1 - Zimmermann, Peter A1 - Podewski, Fritz A1 - Çelik, Fatma A1 - Iwanski, Alexandra ED - Lohaus, Arnold T1 - Emotionale Entwicklung T2 - Entwicklungspsychologie des Jugendalters Y1 - 2018 SN - 9783662557914 U6 - https://doi.org/10.1007/978-3-662-55792-1_4 SN - 0937-7433 SP - 75 EP - 90 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Zimmermann, Peter A1 - Çelik, Fatma A1 - Podewski, Fritz A1 - Iwanski, Alexandra ED - Gniewosz, Burkhard ED - Peter F., Titzmann T1 - Emotionen und Emotionsregulation im Jugendalter T2 - Handbuch Jugend. Psychologische Sichtweisen auf Veränderung in der Adoleszenz Y1 - 2018 SN - 978-3-17-029859-0 U6 - https://doi.org/10.17433/978-3-17-029860-6 SP - 184 EP - 199 PB - W. Kohlhammer CY - Stuttgart ER - TY - PAT A1 - Lessmann, Stephanie A1 - Meuter, Mirko A1 - Mueller, Dennis T1 - Method to determine distance of an object from an automated vehicle with a monocular device N2 - A method of determining the distance of an object from an automated vehicle based on images taken by a monocular image acquiring device. The object is recognized with an object-class by means of an image processing system. Respective position data are determined from the images using a pinhole camera model based on the object-class. Position data indicating in world coordinates the position of a reference point of the object with respect to the plane of the road is used with a scaling factor of the pinhole camera model estimated by means of a Bayes estimator using the position data as observations and under the assumption that the reference point of the object is located on the plane of the road with a predefined probability. The distance of the object from the automated vehicle is calculated from the estimated scaling factor using the pinhole camera model. Y1 - 2018 UR - https://depatisnet.dpma.de/DepatisNet/depatisnet?action=pdf&docid=US000009862318B2&xxxfull=1 ER -