TY - JOUR A1 - Carsten, Stöhr A1 - Monika, Janssen A1 - Jörg, Niemann A1 - Benedikt, Reich T1 - Smart Services JF - Procedia - Social and Behavioral Sciences Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-59819 SN - 1877-0428 VL - 238 SP - 192 EP - 198 PB - Elsevier ET - SIM 2017 / 14th International Symposium in Managemen 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 - 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 - JOUR A1 - Weinzierl, Stefan A1 - Lepa, Steffen A1 - Ackermann, David T1 - A measuring instrument for the auditory perception of rooms: The Room Acoustical Quality Inventory (RAQI) JF - The Journal of the Acoustical Society of America N2 - With the Room Acoustical Quality Inventory (RAQI), a measuring instrument for the perceptual space of performance venues for music and speech has been developed. First, a focus group with room acoustical experts determined relevant aspects of room acoustical impression in the form of a comprehensive list of 50 uni- and bipolar items in different categories. Then, n = 190 subjects rated their acoustical impression of 35 binaurally simulated rooms from 2 listening positions, with symphonic orchestra, solo trumpet, and dramatic speech as audio content. Subsequent explorative and confirmative factor analyses of the questionnaire data resulted in three possible solutions with four, six, and nine factors of room acoustical impression. The factor solutions, as well as the related RAQI items, were tested in terms of reliability, validity, and several types of measurement invariance, and were cross-validated by a follow-up experiment with a subsample of 46% of the original participants, which provided re-test reliabilities and stability coefficients for all RAQI constructs. The resulting psychometrically evaluated measurement instrument can be used for room quality assessment, acoustical planning, and the further development of room acoustical parameters in order to predict primary acoustical qualities of venues for music and speech. Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-58954 SN - 0001-4966 VL - 144 IS - 3 SP - 1245 EP - 1257 PB - Acoustical Society of America 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 - 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 - 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 -