Dokument-ID Dokumenttyp Autoren/innen Persönliche Herausgeber/innen Haupttitel Abstract Auflage Verlagsort Verlag Herausgeber (Institution) Erscheinungsjahr Titel des übergeordneten Werkes Jahrgang/Band ISBN Veranstaltung Veranstaltungsort Beginndatum der Veranstaltung Enddatum der Veranstaltung Ausgabe/Heft Erste Seite Letzte Seite URN DOI Lizenz Datum der Freischaltung OPUS4-56574 Beitrag zu einem Tagungsband Moufid, M.; Tiebe, Carlo; El Bari, N.; Bartholmai, Matthias; Bouchikhi, B. Advance in electronic nose technology developed for the detection and discrimination of ethanol, ammonia, and hydrogen sulfide gases 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. 2022 IEEE International symposium on olfaction and electronic nose (ISOEN 2022) 978-1-6654-5860-3 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Aveiro, Portugal 29.05.2022 01.06.2022 1 3 10.1109/ISOEN54820.2022.9789636 2022-12-19 OPUS4-54507 Zeitschriftenartikel Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Holl, H. Flying ant robot for chemical trail detection and localization 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 a 5 cm wide chemical trail, a detection criterion was developed that uses only relative changes in the transient phase of the sensor response. The reduction in signal strength dependence improves the robustness of its application. We tested our setup in first crossing-trail experiments showing that our flying ant robot can correlate an odor hit with the chemical trail within 0.14 m. Principally, this could enable aerial chemical trail following in the future. Amsterdam Elsevier Ltd. 2022 Materials Today: Proceedings 62 37th Danubia - Adria Symposium on Advances in Experimental Mechanics Linz, Austria 21.09.2021 24.09.2021 2462 2465 10.1016/j.matpr.2022.02.594 2022-03-21 OPUS4-53933 Beitrag zu einem Tagungsband Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Flying Ant Robot - Aerial Chemical Trail Detection and Localization 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. IEEE 2021 Proceedings of the IEEE Sensors 2021 IEEE Sensors 2021 Online meeting 31.10.2021 04.11.2021 1 4 10.1109/sensors47087.2021.9639857 2021-12-08 OPUS4-52626 Zeitschriftenartikel Moufid, M.; Bouchikhi, B.; Tiebe, Carlo; Bartholmai, Matthias; El Bari, N. Assessment of outdoor odor emissions from polluted sites using simultaneous thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS), electronic nose in conjunction with advanced multivariate statistical approaches Poor air quality, particularly in urban areas, causes various diseases and degrades living standards. Air Quality could be affected by emissions of odor, Volatile Organic Compounds (VOCs), and other gases. Therefore, assessment and monitoring of odorous air quality using sensitive, simple, rapid, accurate and portable tools is very important for public health. This study aimed to characterize odor emissions to detect malfunctions in facilities and to prevent air pollution and olfactory nuisance in the environment. A gas chromatographic method, in conjunction with sensorial analysis were performed for odorous air samples analysis collected from neighborhood of Meknes city (Morocco). Advanced multivariate statistical approaches, such as Principal Components Analysis (PCA), Discriminant Function Analysis (DFA), Support Vector Machines (SVMs), and Hierarchical Cluster Analysis (HCA), were used to describe samples similarities. The electronic nose (e-nose) data processing exhibits a satisfactory discrimination between the odorous air samples. Twenty-four VOCs with known molecular formulas were identified with Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). A validated Partial Least Square (PLS) model foresees good calibration between e-nose measurement and TD-GCMS analysis. The finding indicates that TD-GC-MS approach in conjunction with e-nose unit could be suitable tool for environmental measurement-based odor emissions. Elsevier Ltd. 2021 Atmospheric Environment 256 118449 10.1016/j.atmosenv.2021.118449 2021-05-12 OPUS4-55652 Zeitschriftenartikel Moufid, M.; Tiebe, Carlo; El Bari, N.; Hamada, D. A.; Bartholmai, Matthias; Bouchikhi, B. Pollution parameters evaluation of wastewater collected at different treatment stages from wastewater treatment plant based on E-nose and E-tongue systems combined with chemometric techniques Wastewater contains harmful chemicals and heavy metals that are known to cause various environmental and health problems. Therefore, the water quality control using sensitive, simple, fast, accurate, and portable tools is of great importance. This study aimed to evaluate the pollution parameters of wastewaters collected at different treatment stages from a wastewater treatment plant (WWTP) that treats domestic and industrial wastewaters by using an electronic nose (E-nose) and a voltammetric electronic tongue (E-tongue) combined with chemometric techniques. Water and wastewater pollution parameters determination were performed using inductively coupled plasma optical emission spectrometry for the determination of cations, and anions by using ion chromatography. Chemometric techniques, such as Principal Component Analysis (PCA), Discriminant Function Analysis (DFA), Support Vector Machines (SVMs), and Hierarchical Cluster Analysis (HCA), were used to process the E-nose and E-tongue datasets to describe the similarities between the samples. In addition, Partial Least Squares Regression (PLSR) model was constructed using electronic sensing data to simultaneously predict the concentration values of physicochemical parameters. The obtained correlation coefficient, for training and testing sets, is higher than 0.91 for the prediction of the concentration of all physicochemical parameters, except for iron (Fe) which remains 0.84. These results suggest that simple, portable, and inexpensive tools such as electronic nose and tongue are suitable for wastewater analysis. Elsevier B.V. 2022 Chemometrics and Intelligent Laboratory Systems 227 1 12 10.1016/j.chemolab.2022.104593 2022-09-12 OPUS4-48055 Zeitschriftenartikel Neumann, Patrick P.; Hüllmann, Dino; Bartholmai, Matthias Pastramă, Ş. D.; Constantinescu, D. M. Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring In this paper, we introduce a nano aerial robot swarm for indoor air quality monitoring applications such as occupational health and safety of (industrial) workplaces. The concept combines a robotic swarm composing of nano Unmanned Aerial Vehicles (nano UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight metal oxide gas sensors for measuring the Total Volatile Organic Compound (TVOC) in ppb and estimating the eCO2 (equivalent calculated carbon-dioxide) concentration in ppm. TVOC is a measure for the indoor air quality. An indoor localization and positioning system will be used to estimate the absolute 3D position of the swarm like GPS. Based on this novel indoor air quality monitoring concept, the development and validation of new algorithms in the field of Mobile Robot Olfaction (MRO) are planned, namely gas source localization and gas distribution mapping. A test scenario will be built up to validate and optimize the gas-sensitive nano aerial robot swarm for the intended applications. Amsterdam Elsevier Ltd. 2019 Materials Today: Proceedings 12 35th Danubia Adria Symposium on Advances in Experimental Mechanics Sinaia, Romania 25.09.2018 28.09.2018 2 470 473 10.1016/j.matpr.2019.03.151 2019-05-27 OPUS4-51099 Zeitschriftenartikel Moufid, M.; Hofmann, Michael; El Bari, N.; Tiebe, Carlo; Bartholmai, Matthias; Bouchikhi, B. Wastewater monitoring by means of e-nose, VE-tongue, TD-GC-MS, and SPME-GC-MS The presence of wastewater and air pollution has become an important risk factor for citizens, not only in terms of problems related to health risks, but also because of its negative impact on the country's image. For this reason, malodorous emission monitoring and control techniques are in high demand in urban areas and industries. The aim of this work is first to build an electronic nose (e-nose) and a Voltammetric Electronic tongue (VE-tongue) in order to study their ability to discriminate between polluted and clean environmental samples. Secondly, Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS), and Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry (SPME-GC-MS) are utilized to explain this discrimination by identifying specific compounds from these samples. Indeed, the e-nose, consisted of metal oxide semiconductor gas sensors, is used for the assessment of the studied odorous air and headspace samples from water and wastewater sites. Moreover, the VE-tongue, based on metal electrodes, is utilized to determine the patterns of the sensor array responses, which serve as fingerprints profiles of the analyzed liquid samples. Chemometric tools, such as Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), and Support Vector Machines (SVMs) are operated for the processing of data from the e-nose and the VE-tongue. By using the both systems, the analyses of headspace and liquid samples from the seven sites allow better discrimination. To explain the cause of the obtained discrimination, TD-GC-MS and SPME-GC-MS analyses are well performed to identify compounds related sites. According to these outcomes, the proposed e-nose and VE-tongue are proved to be rapid and valuable tools for analysis of environmental polluted matrices. Elsevier B.V. 2021 Talanta 221 121450 10.1016/j.talanta.2020.121450 2020-08-12 OPUS4-50673 Zeitschriftenartikel Neumann, Patrick P.; Hirschberger, Paul; Bartholmai, Matthias Zemčík, R.; Krystek, J. Influence of rotor downwash on vertically displaced nanobots in flight One challenge associated with navigating a nano aerial robot swarm indoors in unstructured environments is, i.a., the limited air space. To avoid an over-regulation of the available indoor air space (e.g., prohibit copters to fly above each other), a safety region around each copter must be defined. In this paper, we investigate the impact of the downwash of a nano-drone on the stability of another nearby nano-drone. In the experiments, we found out that this downwash has a negative influence of a second nano-drone in a distance of around 1 m vertically and 0.2 m horizontally. Based on the obtained data, we developed a model describing the above-mentioned safety region to enable a safe operation of the swarm in these environments with fewer constraints. Amsterdam Elsevier Ltd. 2020 Materials Today: Proceedings 32 36th Danubia-Adria Symposium on Advances in Experimental Mechanics Pilsen, Czech Republic 24.09.2019 27.09.2019 2 108 111 10.1016/j.matpr.2020.03.047 2020-04-22 OPUS4-49548 Beitrag zu einem Tagungsband Hüllmann, Dino; Neumann, Patrick P.; Scheuschner, Nils; Bartholmai, Matthias; Lilienthal, A.J. Experimental Validation of the Cone-Shaped Remote Gas Sensor Model Remote gas sensors mounted on mobile robots enable the mapping of gas distributions in large or hardly accessible areas. A challenging task, however, is the generation of threedimensional distribution maps from these gas measurements. Suitable reconstruction algorithms can be adapted, for instance, from the field of computed tomography (CT), but both their performance and strategies for selecting optimal measuring poses must be evaluated. For this purpose simulations are used, since, in contrast to field tests, they allow repeatable conditions. Although several simulation tools exist, they lack realistic models of remote gas sensors. Recently, we introduced a model for a Tunable Diode Laser Absorption Spectroscopy (TDLAS) gas sensor taking into account the conical shape of its laser beam. However, the novel model has not yet been validated with experiments. In this paper, we compare our model with a real sensor device and show that the assumptions made hold. IEEE 2019 Proceedings of the IEEE Sensors 2019 978-1-7281-1634-1 IEEE Sensors 2019 Montreal, Canada 27.10.2019 30.10.2019 104 107 2019-11-18 OPUS4-50083 Zeitschriftenartikel Strangfeld, Christoph; Johann, Sergej; Bartholmai, Matthias Smart RFID Sensors Embedded in Building Structures for Early Damage Detection and Long-Term Monitoring In civil engineering, many structures are made of reinforced concrete. Most Degradation processes relevant to this material, e.g., corrosion, are related to an increased level of material moisture. Therefore, moisture monitoring in reinforced concrete is regarded as a crucial method for structural health monitoring. In this study, passive radio frequency identification (RFID)-based sensors are embedded into the concrete. They are well suited for long-term operation over decades and are well protected against harsh environmental conditions. The energy supply and the data transfer of the humidity sensors are provided by RFID. The sensor casing materials are optimised to withstand the high alkaline environment in concrete, having pH values of more than 12. Membrane materials are also investigated to identify materials capable of enabling water vapour transport from the porous cement matrix to the embedded humidity sensor. By measuring the corresponding relative humidity with embedded passive RFID-based sensors, the cement hydration is monitored for 170 days. Moreover, long-term moisture monitoring is performed for more than 1000 days. The Experiments show that embedded passive RFID-based sensors are highly suitable for long-term structural health monitoring in civil engineering. Basel, Swiss MDPI 2019 Sensors 19 24 1 18 urn:nbn:de:kobv:b43-500831 10.3390/s19245514 https://creativecommons.org/licenses/by/4.0/deed.de 2019-12-19