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Open data for the crowd: an account of citizen science at ETH Library
(2019)LIBER QuarterlyThis paper gives an account of ETH Library’s combined strategy of implementing an open data policy and using crowdsourcing to improve metadata. Both activities go hand in hand and promote each other. ETH Library’s Image Archive was the first unit to provide content for free download in high resolution. This paved the way for a very successful crowdsourcing campaign during which citizen scientists located places, dated photographs, and ...Conference Paper -
Large-scale field tests on impulse waves
(2019)Reservoirs and other hydropower infrastructure in mountainous areas have to deal with various natural hazards. Ice- and rockfalls, landslides as well as rock and snow avalanches may impinge the reservoir, generating impulse waves that may overtop dams. Due to climate change and the rise of the permafrost base, the landslide and rockfall hazard is likely to increase in the future. A reliable risk analysis regarding potential impulse waves ...Conference Paper -
Large-scale experiments of tsunamis generated by iceberg calving
(2019)Iceberg calving at outlet glaciers contributes to global sea-level rise in the context of climate change. This study investigates tsunamis generated by iceberg calving, so-called iceberg-tsunamis. Such tsunamis reached amplitudes of 50 m in the recent past and endanger human beings and coastal infrastructure. 66 unique large-scale experiments have been conducted in a 50 m × 50 m large basin. These experiments involved the five iceberg ...Conference Paper -
User-centered Design and Evaluation of Physical Interfaces for an Exoskeleton for Paraplegic Users
(2019)2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)Over the last decade, the use of wearable exoskeletons for human locomotion assistance has become more feasible. The VariLeg powered lower limb robotic exoskeleton is an example of such systems, potentially enabling paraplegic users to perform upright activities of daily living. The acceptance of this type of robotic assistive technologies is often still affected by limited usability, in particular regarding the physical interface between ...Conference Paper -
An Objective Functional Evaluation of Myoelectrically-Controlled Hand Prostheses: A Pilot Study Using the Virtual Peg Insertion Test
(2019)2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)Conference Paper -
Multi-head Monitoring of Metric Temporal Logic
(2019)Lecture Notes in Computer Science ~ Automated Technology for Verification and Analysis. 17th International Symposium, ATVA 2019, Taipei, Taiwan, October 28–31, 2019, ProceedingsWe present a novel approach to the offline monitoring of specifications expressed in metric temporal logic (MTL). Our monitoring algorithm exploits multiple one-way reading heads that traverse a trace sequentially. We present both theoretical and practical results that show this substantially improves upon the state-of-the-art. In particular, our algorithm is the first offline monitoring algorithm for MTL with past and bounded-future ...Conference Paper -
A Teaching System for Hands-on Quadcopter Control
(2019)IFAC-PapersOnLine ~ 12th IFAC Symposium on Advances in Control Education, ACE 2019. ProceedingsQuadcopters, popular in consumer and commercial applications, are a perfect testing ground for both basic and advanced control techniques. This makes them an ideal platform for offering experiment-based control courses. We present the software system developed to teach hands-on quadcopter control, that we have used to offer a short course to groups of 32 undergraduate electrical engineering students. Our system allows students to work ...Conference Paper -
Image-to-image translation for enhanced feature matching, image retrieval and visual localization
(2019)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious. Data augmentation is a powerful option to overcome these drawbacks. Therefore, we augment training data by rendering images with arbitrary poses from 3D models to increase the quantity of training ...Conference Paper -
Peer-to-Peer Energy Trading in the Real World: Market Design and Evaluation of the User Value Proposition
(2019)ICIS 2019 ProceedingsElectricity markets are experiencing a shift to a more decentralized structure with small distributed renewable generation sources like residential photovoltaic systems. Simultaneously, information systems have driven the development of a “sharing economy” also in the electricity sector and can enable previously passive consumers to directly trade solar electricity in local communities. However, it is unclear how such peer-to-peer (P2P) ...Conference Paper -
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation
(2019)Proceedings of the 36th International Conference on Machine Learning (PMLR)The problem of explaining the behavior of deep neural networks has recently gained a lot of attention. While several attribution methods have been proposed, most come without strong theoretical foundations, which raises questions about their reliability. On the other hand, the literature on cooperative game theory suggests Shapley values as a unique way of assigning relevance scores such that certain desirable properties are satisfied. ...Conference Paper