TY - GEN A1 - Buchwald, Tom A1 - Hasanuzzaman, Gazi A1 - Merbold, Sebastian A1 - Schanz, Daniel A1 - Egbers, Christoph A1 - Schröder, Andreas T1 - Large-scale flow field and aerosol particle transport investigations in a classroom using 2D-Shake-The-Box Lagrangian Particle Tracking T2 - Heliyon Y1 - 2023 U6 - https://doi.org/10.1016/j.heliyon.2023.e22826 SN - 2405-8440 VL - 9 IS - 12 ER - TY - GEN A1 - Hasanuzzaman, Gazi A1 - Egbers, Christoph T1 - Application of machine learning for sustainable aviation : the role of friction drag and flow control in turbulent boundary layer flows T2 - The 2nd International Conference on Advancing Sustainable Futures (ICASF 2024) Y1 - 2024 U6 - https://doi.org/10.13140/RG.2.2.31060.92807 SP - 1 EP - 8 ER - TY - GEN A1 - Hasanuzzaman, Gazi A1 - Buchwald, Tom A1 - Schunk, Christoph A1 - Schröder, Andreas A1 - Egbers, Christoph A1 - Hampel, Uwe T1 - DATIV—remote enhancement of smart aerosol measurement system using raspberry Pi-based distributed sensors T2 - Sensors N2 - Enclosed public spaces are hotspots for airborne disease transmission. To measure and maintain indoor air quality in terms of airborne transmission, an open source, low cost and distributed array of particulate matter sensors was developed and named Dynamic Aerosol Transport for Indoor Ventilation, or DATIV, system. This system can use multiple particulate matter sensors (PMSs) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common browser installed on a remote device such as a PC or smartphone with a corresponding IP address. The software architecture and validation measurements are presented together with possible future developments. KW - Aerosol transport, indoor ventilation, sensors, measurement, aerodynamics Y1 - 2024 UR - https://www.mdpi.com/1424-8220/24/13/4314 U6 - https://doi.org/10.3390/s24134314 VL - 24 SP - 1 EP - 12 ER -