TY - JOUR A1 - Thust, Marion A1 - Schöning, Michael Josef A1 - Frohnhoff, S. A1 - Arens-Fischer, R. A1 - Kordos, P. A1 - Lüth, H. T1 - Porous silicon as a substrate material for potentiometric biosensors JF - Measurement Science and Technology Y1 - 1996 U6 - http://dx.doi.org/10.1088/0957-0233/7/1/003 VL - 7 IS - 1 SP - 26 EP - 29 ER - TY - JOUR A1 - Thust, M. A1 - Schöning, Michael Josef A1 - Schroth, P. A1 - Malkoc, Ü. A1 - Dicker, C. I. A1 - Steffen, A. A1 - Kordos, P. A1 - Lüth, H. T1 - Enzyme immobilisation on planar and porous silicon substrates for biosensor applications JF - Journal of Molecular Catalysis B: Enzymatic. 7 (1999), H. 1-4 Y1 - 1999 SN - 1381-1177 SP - 77 EP - 83 ER - TY - JOUR A1 - Thust, M. A1 - Schroth, P. A1 - Töpler, A. A1 - Schöning, Michael Josef A1 - Müller-Veggian, Mattea A1 - Kordos, P. A1 - Lüth, H. T1 - Improving the detection limit of a capacitive sensor by means of a diffusion barrier JF - Eurosensors XII : proceedings of the 12th European Conference on Solid-State Transducers and the 9th UK Conference on Sensors and their Applications, Southampton, UK, 13 - 16 September 1998 / ed. by N. M. White ; Vol. 1 Y1 - 1998 SN - 0-7503-0595-9 N1 - Eurosensors ; (12, 1998, Southampton) ; UK Conference on Sensors and Their Applications ; (9, 1998, Southampton) SP - 507 EP - 510 PB - Inst. of Physics Publ. CY - Bristol [u.a.] ER - TY - JOUR A1 - Thust, M. A1 - Poghossian, Arshak A1 - Schöning, Michael Josef A1 - Naser, S. A1 - Müller-Veggian, Mattea A1 - Kordos, P. A1 - Lüth, H. T1 - Crosssensitivity of a capacitive penicillin sensor combined with a diffusion barrier JF - Proceedings : The Hague, The Netherlands, September 12 - 15, 1999 / [ed. by M. Bartek]. Vol 1. Y1 - 1999 SN - 90-76699-02-X N1 - Eurosensors ; (13, 1999, 's-Gravenhage) ; Eurosensors ; (13 : ; 1999.09.12-15 : ; The Hague) ; European Conference on Solid-State Transducers ; (13 : ; 1999.09.12-15 : ; The Hague) SP - 573 EP - 576 CY - The Hague, The Netherlands ER - TY - JOUR A1 - Thust, M. A1 - Poghossian, Arshak A1 - Schöning, Michael Josef A1 - Naser, S. A1 - Müller-Veggian, Mattea A1 - Kordos, P. A1 - Lüth, H. T1 - Cross-sensitivity of a capacitive penicillin sensor combined with a diffusion barrier JF - Proceedings : The Hague, The Netherlands, September 12 - 15, 1999 / [ed. by M. Bartek]. - Vol 1. Y1 - 1999 SN - 90-76699-02-X N1 - Eurosensors <13, 1999, 's-Gravenhage> ; Eurosensors <13, 1999, The Hague> ; European Conference on Solid-State Transducers <13, 1999, The Hague> SP - 573 EP - 576 CY - The Hague, The Netherlands ER - TY - CHAP A1 - Thurn, Laura A1 - Gebhardt, Andreas T1 - Arousing Enthusiasm for STEM: Teaching 3D Printing Technology T2 - Conference Proceedings: New Perspectives in Science Education Y1 - 2017 SN - 978-88-6292-847-2 SP - 87 EP - 92 PB - liberiauniversitaria.it CY - Padua ER - TY - CHAP A1 - Thurn, Laura A1 - Gebhardt, Andreas T1 - Strategy of Education on Materials for Students T2 - Conference Proceedings: „New Perspectives in Science Education" Y1 - 2018 SN - 978-88-6292-976-9 SP - 156 EP - 161 CY - Florence, Italy ER - TY - CHAP A1 - Thurn, Laura A1 - Balc, Nicolae A1 - Gebhardt, Andreas A1 - Kessler, Julia T1 - Education packed in technology to promote innovations: Teaching Additive Manufacturing based on a rolling Lab T2 - Modern Technologies in Manufacturing (MTeM 2017 - AMaTUC) Y1 - 2017 U6 - http://dx.doi.org/10.1051/matecconf/201713702013 SN - 2261-236X N1 - MATEC Web Conf. Volume 137, 2017 Matec Web of Conferences., 137(2017)02013 ER - TY - JOUR A1 - Thomessen, Karolin A1 - Thoma, Andreas A1 - Braun, Carsten T1 - Bio-inspired altitude changing extension to the 3DVFH* local obstacle avoidance algorithm JF - CEAS Aeronautical Journal N2 - Obstacle avoidance is critical for unmanned aerial vehicles (UAVs) operating autonomously. Obstacle avoidance algorithms either rely on global environment data or local sensor data. Local path planners react to unforeseen objects and plan purely on local sensor information. Similarly, animals need to find feasible paths based on local information about their surroundings. Therefore, their behavior is a valuable source of inspiration for path planning. Bumblebees tend to fly vertically over far-away obstacles and horizontally around close ones, implying two zones for different flight strategies depending on the distance to obstacles. This work enhances the local path planner 3DVFH* with this bio-inspired strategy. The algorithm alters the goal-driven function of the 3DVFH* to climb-preferring if obstacles are far away. Prior experiments with bumblebees led to two definitions of flight zone limits depending on the distance to obstacles, leading to two algorithm variants. Both variants reduce the probability of not reaching the goal of a 3DVFH* implementation in Matlab/Simulink. The best variant, 3DVFH*b-b, reduces this probability from 70.7 to 18.6% in city-like worlds using a strong vertical evasion strategy. Energy consumption is higher, and flight paths are longer compared to the algorithm version with pronounced horizontal evasion tendency. A parameter study analyzes the effect of different weighting factors in the cost function. The best parameter combination shows a failure probability of 6.9% in city-like worlds and reduces energy consumption by 28%. Our findings demonstrate the potential of bio-inspired approaches for improving the performance of local path planning algorithms for UAV. KW - UAV KW - Obstacle avoidance KW - Autonomy KW - Local path planning Y1 - 2023 U6 - http://dx.doi.org/10.1007/s13272-023-00691-w SN - 1869-5590 (Online) SN - 1869-5582 (Print) N1 - Corresponding author: Karolin Thomessen PB - Springer CY - Wien ER - TY - JOUR A1 - Thoma, Andreas A1 - Thomessen, Karolin A1 - Gardi, Alessandro A1 - Fisher, A. A1 - Braun, Carsten T1 - Prioritising paths: An improved cost function for local path planning for UAV in medical applications JF - The Aeronautical Journal N2 - Even the shortest flight through unknown, cluttered environments requires reliable local path planning algorithms to avoid unforeseen obstacles. The algorithm must evaluate alternative flight paths and identify the best path if an obstacle blocks its way. Commonly, weighted sums are used here. This work shows that weighted Chebyshev distances and factorial achievement scalarising functions are suitable alternatives to weighted sums if combined with the 3DVFH* local path planning algorithm. Both methods considerably reduce the failure probability of simulated flights in various environments. The standard 3DVFH* uses a weighted sum and has a failure probability of 50% in the test environments. A factorial achievement scalarising function, which minimises the worst combination of two out of four objective functions, reaches a failure probability of 26%; A weighted Chebyshev distance, which optimises the worst objective, has a failure probability of 30%. These results show promise for further enhancements and to support broader applicability. KW - Path planning KW - Cost function KW - Multi-objective optimization Y1 - 2023 U6 - http://dx.doi.org/10.1017/aer.2023.68 SN - 0001-9240 (Print) SN - 2059-6464 (Online) IS - First View SP - 1 EP - 18 PB - Cambridge University Press CY - Cambridge ER -