2,461 research outputs found
Tractatio Iuris Publici De Serenissimis Potentissimisque Ducibus Brunsvicensibus Et Luneburgensibus / D.O.M.A. Praeside ... Dn. Joh. Ulrico Pregizero ... In Illustri Collegio Ad Diem 10. Decembr. Placido Eruditorum Examini sistit Author Christian Ulrich Blum
TRACTATIO IURIS PUBLICI DE SERENISSIMIS POTENTISSIMISQUE DUCIBUS BRUNSVICENSIBUS ET LUNEBURGENSIBUS / D.O.M.A. PRAESIDE ... DN. JOH. ULRICO PREGIZERO ... IN ILLUSTRI COLLEGIO AD DIEM 10. DECEMBR. PLACIDO ERUDITORUM EXAMINI SISTIT AUTHOR CHRISTIAN ULRICH BLUM
Tractatio Iuris Publici De Serenissimis Potentissimisque Ducibus Brunsvicensibus Et Luneburgensibus / D.O.M.A. Praeside ... Dn. Joh. Ulrico Pregizero ... In Illustri Collegio Ad Diem 10. Decembr. Placido Eruditorum Examini sistit Author Christian Ulrich Blum (1)
Titelblatt (1)
Prooemium. (3)
Caput I. (5)
Caput II. (9)
Caput III. (12)
Caput IV. (22)
Caput V. (29)
Caput VI. (47)
I. - V. (54
Supplementary movies of the dynamic rupture and tsunami models published in Ulrich et al. (2019)
<p>Supplementary movies of the dynamic rupture and tsunami models published in Ulrich et al. (2019)</p>
<p>movie_Sulawesi_SR-cp.mov: Absolute slip rate (m/s) across the fault network during the earthquake. Author: Thomas Ulrich</p>
<p>movie_Sulawesi_wavefield-cp.mov: Absolute slip rate (m/s) and wavefield (absolute particle velocity in m/s) across the fault network during the earthquake. Author: Thomas Ulrich</p>
<p>SulawesiTanioka.mp4: Sea surface height (m) predicted by the tsunami scenario. Author: Stefan Vater</p>
<p>reference: Ulrich, T., Vater, S., Madden, E. H., Behrens, J., van Dinther, Y., van Zelst, I., Fielding, E. J., Liang, C. & Gabriel, A. A. (2019). Coupled, Physics-based Modeling Reveals Earthquake Displacements are Critical to the 2018 Palu, Sulawesi Tsunami. doi: 10.31223/osf.io/3bwqa.</p>
Deep Reinforcement Learning as Guidance for Aerospace Robotics
The ability for a manipulator-equipped chaser spacecraft to autonomously capture a target spacecraft is an unsolved prerequisite for space debris removal and on-orbit servicing. This thesis investigates using deep reinforcement learning (DRL) to improve the capabilities of a manipulator-equipped chaser at this task. DRL allows for behaviour to be learned, rather than designed, according to a simple reward function. DRL uses trial-and-error to learn the behaviour, which is not feasible to perform on-board a spacecraft. Training must therefore be performed in simulation with the resulting behaviour transferred to the spacecraft. Transferring the learned-in-simulation behaviour to a real robot, however, is difficult due to dynamics differences between the simulator and the real world, i.e., the simulation-to-reality gap. This thesis develops, over the course of four increasingly-difficult applications, a solution to the simulation-to-reality gap by restricting DRL to exclusively learn the guidance portion of the guidance, navigation, and control system needed for autonomous spacecraft operations. The first application is spacecraft proximity operations (without capture), where a DRL-based guidance strategy issuing desired velocity signals is designed, trained, and evaluated in simulation and experiment. Next, the DRL-based guidance strategy is improved upon and applied to a quadrotor proximity operations scenario. Here, it is demonstrated in simulation and experiment that desired acceleration signals lead to better performance compared to desired velocity signals. These two proof-of-concept results show the proposed DRL-based guidance strategy is viable for bringing DRL to real aerospace vehicles. Next, the DRL-based guidance strategy is applied to a more difficult scenario: a multi-agent cooperative quadrotor runway inspection task, where fault-tolerant behaviour is successfully learned and demonstrated in both simulation and a real, outdoor, GPS-driven quadrotor facility. Finally, with the now-developed DRL-based guidance strategy, the author returns to the central motivator for this research: autonomous manipulator-based capture of a spinning spacecraft. The DRL-based guidance strategy learns this task in simulation and is successfully transferred to an experimental facility where similar results are obtained. Additionally, capture is successful in experiment despite large perturbations and initial conditions not seen during training. Improvements to the experimental facility were performed to enable this research
Expatriate Assignments : comparison of Theory and Practice
Author: Ulrich MeindlAbstract in englischer SpracheDiplomarbeit Universität Linz 201
Expatriate Assignments : comparison of Theory and Practice
Author: Ulrich MeindlAbstract in englischer SpracheDiplomarbeit Universität Linz 201
Approximate fixed points of nonexpansive functions in product spaces
In this talk, we present another case study in the general program of proof mining in fixed point theory. Thus, we generalize results obtained by W. Kirk in the theory of approximated fixed points of nonexpansive mappings in product space
Brain endurance training improves physical, cognitive, and multitasking performance in professional football players
Purpose: Brain endurance training (BET)—the combination of physical training with mentally fatiguing tasks—could help athletes adapt and increase their performance during sporting competitions. Here we tested whether BET completed after standard physical training improved physical and mental performance more than physical training alone during a preseason football training camp. Methods: The study employed a pretest/training/posttest design, with 22 professional football players randomly assigned to BET or a control group. Both groups completed 40 physical training sessions over 4 weeks. At the end of a day of physical training, the BET group completed cognitive training, whereas the control group listened to neutral sounds. Players completed the 30–15 Intermittent Fitness Test, repeated sprint ability random test, soccer-specific reactive agility test, and Stroop and psychomotor vigilance tests pretraining and posttraining. Mixed analysis of variance was used to analyze the data. Results: In the posttest (but not pretest) assessments, the BET group consistently outperformed the control group. Specifically, the BET group was faster (P = .02–.04) than the control group during the 30–15 Intermittent Fitness Test, the directional phase of the repeated sprint ability random test, and the soccer-specific reactive agility test. The BET group also made fewer errors (P = .02) during the soccer-specific reactive agility test than the control group. Finally, the BET group responded faster (P = .02) on the Stroop test and made fewer (P = .03) lapses on the psychomotor vigilance test than the control group. Conclusion: The inclusion of BET during the preseason seems more effective than standard physical training alone in improving the physical, cognitive, and multitasking performance of professional football players
Ulrich Becher: An Introduction to the Life and Writings of this Contemporary German Author
v, 29 p.Originally I had intended to treat all of his epic, lyric,
and dramatic works which were available to me. As my research
progressed, I realized, however, that a detailed investigation
of Becher's philosophy, literary form and imagery would be
impossible within the limitations of a thesis. Instead, I
chose to introduce this contemporary German author to an
English-speaking audience through a survey of his life and
works, followed by an analysis of three narratives representing
the three periods of Ulrich Becher's writing
Séminaire de l'IAO : Ulrich Theobald
"Rough Terrain : Tactics and Technical Issues in Alpine Warfare in the High Qing Period" Jeudi 27 octobre 2016, Salle de réunion de l’IAO (R66), de 14h à 15h30 Ulrich Theobald (Ph.D. 2009) is a senior lecturer at the Department for Chinese and Korean Studies of the University of Tübingen, Germany. He is specializing in the economic, military, monetary and administrative history of late imperial China, and author of "War Finance and Logistics in Late Imperial China : A Study of the Second Jinc..
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