TY - CHAP A1 - Neu, Eugen A1 - Janser, Frank A1 - Khatibi, Akbar A. A1 - Orifici, Adrian C. T1 - Operational modal analysis of a cantilever in a wind tunnel using optical fiber bragg grating sensors T2 - 6th International Operational Modal Analysis Conference. IOMAC´15. 2015 May 12-14 Gijon - Spain Y1 - 2015 U6 - https://doi.org/10.13140/RG.2.1.3753.0324 ER - TY - JOUR A1 - Bindal, Gaurav A1 - Sharma, Sparsh A1 - Janser, Frank A1 - Neu, Eugen T1 - Detailed analysis of variables affecting wing kinematics of bat flight JF - SAE International Journal of Aerospace Y1 - 2013 U6 - https://doi.org/10.4271/2013-01-9003 SN - 1946-3901 VL - 6 IS - 2 SP - 811 EP - 818 ER - TY - JOUR A1 - Delle, Lotta E. A1 - Huck, Christina A1 - Bäcker, Matthias A1 - Müller, Frank A1 - Grandthyll, Samuel A1 - Jacobs, Karin A1 - Lilischkis, Rainer A1 - Vu, Xuan T. A1 - Schöning, Michael Josef A1 - Wagner, Patrick A1 - Thoelen, Roland A1 - Weil, Maryam A1 - Ingebrandt, Sven T1 - Impedimetric immunosensor for the detection of histamine based on reduced graphene oxide JF - Physica status solidi (a) Y1 - 2015 U6 - https://doi.org/10.1002/pssa.201431863 SN - 1862-6319 VL - 212 IS - 6 SP - 1327 EP - 1334 PB - Wiley CY - Weinheim ER - TY - JOUR A1 - Bouwman, Peter A1 - Gulden, Hanneke van der A1 - Heijden, Ingrid van der A1 - Drost, Rinske A1 - Klijn, Christiaan N. A1 - Prasetyanti, Pramudita A1 - Pieterse, Mark A1 - Wientjens, Ellen A1 - Seibler, Jost A1 - Hogervorst, Frank B. L. A1 - Jonkers, Jos T1 - A High-Throughput Functional Complementation Assay for Classification of BRCA1 Missense Variants JF - Cancer Discovery Y1 - 2013 U6 - https://doi.org/10.1158/2159-8290.CD-13-0094 SN - 2159-8290 IS - 3 SP - 1142 EP - 1152 ER - TY - CHAP A1 - Nakagawa, Masaki A1 - Michaux, Frank A1 - Kallweit, Stephan A1 - Maeda, Kazuhiro T1 - Unsteady flow measurements in the wake behind a wind-tunnel car model by using high-speed planar PIV T2 - 11TH International Symposium on Particle Image Velocimetry – PIV15 Santa Barbara, California, September 14-16, 2015 N2 - This study investigates unsteady characteristics of the wake behind a 28%-scale car model in a wind tunnel using highspeed planar particle image velocimetry (PIV). The car model is based on a hatchback passenger car that is known to have relatively high fluctuations in its aerodynamic loads. This study primarily focuses on the lateral motion of the flow on the horizontal plane to determine the effect of the flow motion on the straight-line stability and the initial steering response of the actual car on a track. This paper first compares the flow fields in the wake behind the above mentioned model obtained using conventional and high-speed planar PIV, with sampling frequencies of 8 Hz and 1 kHz, respectively. Large asymmetrically coherent flow structures, which fluctuate at frequencies below 2 Hz, are observed in the results of highspeed PIV measurements, whereas conventional PIV is unable to capture these features of the flow owing to aliasing. This flow pattern with a laterally swaying motion is represented by opposite signs of cross-correlation coefficients of streamwise velocity fluctuations for the two sides of the car model. Effects of two aerodynamic devices that are known to reduce the fluctuation levels of the aerodynamic loads are then extensively investigated. The correlation analyses reveal that these devices indeed reduce the fluctuation levels of the flow and the correlation values around the rear combination-lamp, but it is found that the effects of these devices are different around the c-pillar. Y1 - 2015 ER - TY - CHAP A1 - Nakagawa, Masaki A1 - Kallweit, Stephan A1 - Michaux, Frank A1 - Hojo, Teppei T1 - Typical Velocity Fields and Vortical Structures around a Formula One Car, based on Experimental Investigations using Particle Image Velocimetry T2 - SAE International Journal of Passenger Cars - Mechanical Systems Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-1611 SN - 1946-4002 ER - TY - CHAP A1 - Schneider, Dominik A1 - Wisselink, Frank A1 - Czarnecki, Christian A1 - Nölle, Nikolai T1 - Benefits and framework conditions for information-driven business models concerning the Internet of Things T2 - Digitalization in companies N2 - In the context of the increasing digitalization, the Internet of Things (IoT) is seen as a technological driver through which completely new business models can emerge in the interaction of different players. Identified key players include traditional industrial companies, municipalities and telecommunications companies. The latter, by providing connectivity, ensure that small devices with tiny batteries can be connected almost anywhere and directly to the Internet. There are already many IoT use cases on the market that provide simplification for end users, such as Philips Hue Tap. In addition to business models based on connectivity, there is great potential for information-driven business models that can support or enhance existing business models. One example is the IoT use case Park and Joy, which uses sensors to connect parking spaces and inform drivers about available parking spaces in real time. Information-driven business models can be based on data generated in IoT use cases. For example, a telecommunications company can add value by deriving more decision-relevant information – called insights – from data that is used to increase decision agility. In addition, insights can be monetized. The monetization of insights can only be sustainable, if careful attention is taken and frameworks are considered. In this chapter, the concept of information-driven business models is explained and illustrated with the concrete use case Park and Joy. In addition, the benefits, risks and framework conditions are discussed. Y1 - 2024 SN - 978-3-658-39093-8 (Print) SN - 978-3-658-39094-5 (eBook) U6 - https://doi.org/10.1007/978-3-658-39094-5_5 SP - 59 EP - 75 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Neu, Eugen A1 - Janser, Frank A1 - Khatibi, Akbar A. A1 - Braun, Carsten A1 - Orifici, Adrian C. T1 - Operational Modal Analysis of a wing excited by transonic flow JF - Aerospace Science and Technology N2 - Operational Modal Analysis (OMA) is a promising candidate for flutter testing and Structural Health Monitoring (SHM) of aircraft wings that are passively excited by wind loads. However, no studies have been published where OMA is tested in transonic flows, which is the dominant condition for large civil aircraft and is characterized by complex and unique aerodynamic phenomena. We use data from the HIRENASD large-scale wind tunnel experiment to automatically extract modal parameters from an ambiently excited wing operated in the transonic regime using two OMA methods: Stochastic Subspace Identification (SSI) and Frequency Domain Decomposition (FDD). The system response is evaluated based on accelerometer measurements. The excitation is investigated from surface pressure measurements. The forcing function is shown to be non-white, non-stationary and contaminated by narrow-banded transonic disturbances. All these properties violate fundamental OMA assumptions about the forcing function. Despite this, all physical modes in the investigated frequency range were successfully identified, and in addition transonic pressure waves were identified as physical modes as well. The SSI method showed superior identification capabilities for the investigated case. The investigation shows that complex transonic flows can interfere with OMA. This can make existing approaches for modal tracking unsuitable for their application to aircraft wings operated in the transonic flight regime. Approaches to separate the true physical modes from the transonic disturbances are discussed. Y1 - 2016 U6 - https://doi.org/10.1016/j.ast.2015.11.032 SN - 1270-9638 VL - 49 SP - 73 EP - 79 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Mertens, Alexander A1 - Pütz, Sebastian A1 - Brauner, Philipp A1 - Brillowski, Florian Sascha A1 - Buczak, Nadine A1 - Dammers, Hannah A1 - van Dyck, Marc A1 - Kong, Iris A1 - Königs, Peter A1 - Kortomeikel, Frauke Carole A1 - Rodemann, Niklas A1 - Schaar, Anne Kathrin A1 - Steuer-Dankert, Linda A1 - Wlecke, Shari A1 - Gries, Thomas A1 - Leicht-Scholten, Carmen A1 - Nagel, Saskia K. A1 - Piller, Frank Thomas A1 - Schuh, Günther A1 - Ziefle, Martina A1 - Nitsch, Verena T1 - Human digital shadow: Data-based modeling of users and usage in the internet of production T2 - 14th Conference Human System Interaction Conference Proceedings N2 - Digital Shadows as the aggregation, linkage and abstraction of data relating to physical objects are a central vision for the future of production. However, the majority of current research takes a technocentric approach, in which the human actors in production play a minor role. Here, the authors present an alternative anthropocentric perspective that highlights the potential and main challenges of extending the concept of Digital Shadows to humans. Following future research methodology, three prospections that illustrate use cases for Human Digital Shadows across organizational and hierarchical levels are developed: human-robot collaboration for manual work, decision support and work organization, as well as human resource management. Potentials and challenges are identified using separate SWOT analyses for the three prospections and common themes are emphasized in a concluding discussion. KW - digital shadow KW - cyber physical production system KW - user & usage KW - internet of production Y1 - 2021 U6 - https://doi.org/10.1109/HSI52170.2021.9538729 N1 - 14th International Conference on Human System Interaction : 8-10 July 2021. Gdańsk, Poland SP - 1 EP - 8 PB - IEEE ER - TY - JOUR A1 - Ferrein, Alexander A1 - Dylla, Frank A1 - Lakemeyer, Gerhard T1 - Specifying Multirobot Coordination in ICPGolog - From Simulation towards Real Robots / Dylla, Frank ; Ferrein, Alexander ; Lakemeyer, Gerhard Y1 - 2003 N1 - AOS-4 at IJCAI-03 SP - 1 EP - 10 ER -