TY - CONF A1 - Neumann, Patrick P. A1 - Hirschberger, Paul A1 - Bartholmai, Matthias T1 - Flying Ant Robot – Aerial Chemical Trail Detection and Localization N2 - This paper presents first advances in the area of aerial chemical trail following. For that purpose, we equipped a palm-size aerial robot, based on the Crazyflie 2.0 quadrocopter, with a small lightweight metal oxide gas sensor for measuring evaporated ethanol from chemical trails. To detect and localize the chemical trail, a novel detection criterion was developed that uses only relative changes in the transient phase of the sensor response, making it more robust in its application. We tested our setup in first crossing-trail experiments showing that our flying ant robot is able to correlate an odor hit with the chemical trail within 0.14 m. Principally, this could enable aerial chemical trail following in the future. T2 - IEEE Sensors 2021 CY - Online meeting DA - 31.10.2021 KW - Nano aerial robot KW - Trail following KW - Trail detection KW - Localization PY - 2021 DO - https://doi.org/10.1109/sensors47087.2021.9639857 SP - 1 EP - 4 PB - IEEE AN - OPUS4-53933 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Johann, Sergej A1 - Stührenberg, Jan A1 - Tandon, Aditya A1 - Dragos, Kosmas A1 - Bartholmai, Matthias A1 - Strangfeld, Christoph A1 - Smarsly, Kay T1 - Investigation of long-term embedded RFID sensors for structural health monitoring N2 - Ensuring the health of civil engineering structures is crucial for the safety and longevity of the built environment. In this direction, structural health monitoring (SHM) has been increasingly employed, providing insight into the structural behavior, based on sensor data representing structural responses. This paper investigates the plausibility of embedding sensors into concrete structures for SHM, leveraging radio frequency identification (RFID) technology, in an attempt to enable the passive operation of sensors without continuous power supply and to reduce potential sources of interference. In contrast to conventional SHM sensors, the uninterrupted operation of embedded sensors must be ensured because post-installation interventions are either impractical or impossible. RFID technology enables wireless data acquisition and energy transmission without mechanical impact on civil engineering structures, although it may be challenging when RFID sensors are embedded in concrete. This study presents a durable passive embedded RFID sensor system (i.e., a system without batteries), including the selection of components, such as housing and cable materials, suitable for withstanding the aggressive environment of concrete without damaging the sensitive electronics or contaminating the data recorded by the sensors. The proposed sensor system is validated in laboratory tests, the results of which provide insights into the influence of each component and are intended to advance the implementation of embedded sensor systems. T2 - IEEE Sensors 2024 CY - Kobe, Japan DA - 20.10.2024 KW - Structural health monitoring KW - RFID-based sensors KW - Smart sensors KW - Embedded sensors PY - 2024 SN - 979-8-3503-6351-7 DO - https://doi.org/10.1109/SENSORS60989.2024.10785220 SP - 1 EP - 4 AN - OPUS4-62162 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Moufid, M. A1 - Tiebe, Carlo A1 - El Bari, N. A1 - Bartholmai, Matthias A1 - Bouchikhi, B. T1 - Advance in electronic nose technology developed for the detection and discrimination of ethanol, ammonia, and hydrogen sulfide gases N2 - This work focuses on the design and fabrication of low-cost and fast-response of an electronic nose (E-nose) based on semiconductor gas sensors, for discriminating some synthetic gases such as ammonia (NH3), ethanol (C2H5OH), and hydrogen sulfide (H2S). Additionally, the capability of separating different concentration levels of each considered gases was checked. Dataset treatment of E-nose by using Principal Component Analysis (PCA) showed a good discrimination of the different synthetic gases. Furthermore, perfect classification was reached of different concentration levels of the analysed gases by using Discriminant Function Analysis (DFA). In the light of these results, it could be stated that the developed E-nose system constitutes an inexpensive, rapid, simple to use, and efficient tool for synthetic gases detection. T2 - IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) CY - Aveiro, Portugal DA - 29.05.2022 KW - Electronic nose KW - Metal oxide semiconductor KW - Chemometric techniques KW - Environmental analysis PY - 2022 SN - 978-1-6654-5860-3 DO - https://doi.org/10.1109/ISOEN54820.2022.9789636 SP - 1 EP - 3 AN - OPUS4-56574 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -