Recent Submissions 

  1. Single pressure transducer probe for 3D flow measurements 

    Schlienger J.; Pfau A.; Kalfas A.I.; et al. (2022)
    E3S Web of Conferences
    A new method of measuring 3D flow with a single pressure transducer mounted inside the head of a single probe is presented in this paper. The 3D flow field around the hemispherical or ellipsoidal probe head is used to derive the 3D flow vector in virtual 5-sensor mode. A pressure tap located in the vicinity of the probe head connects the instantaneous pressure of the measurement volume to the pressure transducer. By turning the probe to ...
    Conference Paper
  2. Virtual four sensor fast response aerodynamic probe (FRAP<sup>®</sup>) 

    Pfau A.; Schlienger J.; Kalfas A.I.; et al. (2022)
    E3S Web of Conferences
    This paper introduces the new fast response aerodynamic probe (FRAP®), which was recently developed at the ETH Zurich. The probe provides time-resolved, three-dimensional flow measurements using the virtual four sensor technique. Two probes work in tandem, being comparable to a pair of pneumatic needle probes. The first probe, being yaw angle sensitive, is positioned in three circumferential positions. The second probe being pitch angle ...
    Conference Paper
  3. Stereoscopic PIV measurements in a two-stage axial turbine 

    Porreca L.; Kalfas A.I.; Abhari R.S.; et al. (2022)
    E3S Web of Conferences
    In the present work, the three-dimensional flow field in the interstage region of a twostage axial turbine has been measured by a stereoscopic PIV system. The stereoscopic method is used to compensate for perspective as well as to observe the highly threedimensional flows. The digital images are recorded with a set of two cameras positioned perpendicularly to the measurement plane and inclined by an angle varying between 22° and 30° to ...
    Conference Paper
  4. A miniature optical extinction heated probe for fog droplet measurements in steam turbines 

    Bosdas I.; Mansour M.; Kalfas A.I.; et al. (2022)
    E3S Web of Conferences
    The knowledge of droplet size distribution and concentration allows us to calculate the wetness fraction and the isentropic turbine efficiency as well as to provide significant data for erosion modeling. For that purpose, a miniature optical extinction probe with a diameter of 9.4mm was designed, manufactured and tested. The probe is equipped with a heater, which maintains all optical components of the probe clean from any water contamination. ...
    Conference Paper
  5. Flow adaptive aerodynamic probe for turbomachinery flows 

    Lenherr C.; Oschwald M.; Kalfas A.I.; et al. (2022)
    E3S Web of Conferences
    In order to enable turbomachinery research to obtain data highly resolved in space and time, a novel flow adaptive aerodynamic probe concept has been developed and presented in this paper. The algorithm selects the measurement positions of the probe automatically and therefore provides higher measurement fidelity compared to traditional methods. The development of the adaptive algorithm has been done in several steps. First an automatic ...
    Conference Paper
  6. Circular Economic Modelling: Barriers and opportunities in turning circular within the construction sector 

    Andersen B.H.; Komkova A. (2022)
    E3S Web of Conferences
    Drawing on the findings and insights from two on-going research projects - WOOL2LOOP and URBCON, we have developed a model to assess the circular economic potential while using secondary raw materials (SRMs) to substitute OPC (Ordinary Portland cement) partly or fully within the building materials and construction industry. Applying our Circular Economy model (CEM), we have assessed the business case at each step of the value circle from ...
    Conference Paper
  7. A probabilistic uncertainty evaluation method for turbomachinery probe measurements 

    Behr T.; Kalfas A.I.; Abhari R.S. (2022)
    E3S Web of Conferences
    The paper presents a probabilistic uncertainty evaluation method described in the Guide to the Expression of Uncertainty in Measurement (GUM) [1] and its application to the field of Turbomachinery probe measurement techniques. All sources of uncertainties contributing to a measurement result are expressed in terms of probability distributions. Consequently, the overall standard uncertainty of the result can be calculated using the Gaussian ...
    Conference Paper
  8. Inlining-Benefit Prediction with Interprocedural Partial Escape Analysis 

    Weingarten M.E.; Theodoridis T.; Prokopec A. (2022)
    VMIL 2022 - Proceedings of the 14th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, co-located with SPLASH 2022
    Inlining is the primary facilitating mechanism for intraprocedural Partial Escape Analysis (PEA), which allows for the removal of object allocations on a branch-by-branch basis and is critical for performance in object-oriented languages. Prior work used interprocedural Escape Analysis to make inlining decisions, but it discarded control-flow-sensitivity when crossing procedure boundaries, and did not weigh other metrics to model the ...
    Conference Paper
  9. Local Computation of Maximal Independent Set 

    Ghaffari, Mohsen (2022)
    2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
    Conference Paper
  10. WULPUS: a Wearable Ultra Low-Power Ultrasound probe for multi-day monitoring of carotid artery and muscle activity 

    Frey, Sebastian; Vostrikov, Sergei; Benini, Luca; et al. (2022)
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
    Ultrasound (US) is a promising tool for non-invasive, continuous monitoring of deep and superficial human body structures. Recent research advances demonstrated the applicability of A-mode US for blood flow monitoring, prostheses control, and muscle activity classification. However, despite the growing interest and progress in wearable US, existing commercial and academic research platforms do not yet offer all the key functionalities and ...
    Conference Paper
  11. Elastic Full-Waveform Inversion for Transcranial Ultrasound Computed Tomography using Optimal Transport 

    Marty, Patrick; Boehm, Christian; Fichtner, Andreas (2022)
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
    This work explores the use of an optimal transport misfit function combined with the coupled acoustic-elastic wave equation for transcranial ultrasound computed tomography. This approach utilizes full-waveform inversion together with a starting model derived from reverse time migration. Source encoding is additionally used to reduce the overall computational cost of the full-waveform inversion reconstruction process. The cycle skipping ...
    Conference Paper
  12. Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation 

    Sun, Guolei; Liu, Yun; Tang, Hao; et al. (2022)
    COMPUTER VISION, ECCV 2022, PT XXXIV
    The essence of video semantic segmentation (VSS) is how to leverage temporal information for prediction. Previous efforts are mainly devoted to developing new techniques to calculate the cross-frame affinities such as optical flow and attention. Instead, this paper contributes from a different angle by mining relations among cross-frame affinities, upon which better temporal information aggregation could be achieved. We explore relations ...
    Conference Paper
  13. ESS: Learning Event-Based Semantic Segmentation from Still Images 

    Sun, Zhaoning; Messikommer, Nico; Gehrig, Daniel; et al. (2022)
    COMPUTER VISION, ECCV 2022, PT XXXIV
    Retrieving accurate semantic information in challenging high dynamic range (HDR) and high-speed conditions remains an open challenge for image-based algorithms due to severe image degradations. Event cameras promise to address these challenges since they feature a much higher dynamic range and are resilient to motion blur. Nonetheless, semantic segmentation with event cameras is still in its infancy which is chiefly due to the lack of ...
    Conference Paper
  14. SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning 

    Kong, Zhenglun; Dong, Peiyan; Ma, Xiaolong; et al. (2022)
    COMPUTER VISION, ECCV 2022, PT XI
    Recently, Vision Transformer (ViT) has continuously established new milestones in the computer vision field, while the high computation and memory cost makes its propagation in industrial production difficult. Considering the computation complexity, the internal data pattern of ViTs, and the edge device deployment, we propose a latency-aware soft token pruning framework, SPViT, which can be set up on vanilla Transformers of both flatten ...
    Conference Paper
  15. Income Taxes and Mobility of the Rich: Evidence from US and UK Households in Switzerland 

    Köthenbürger, Marko; Stimmelmayr, Michael; Stettler, Christian; et al. (2022)
    Conference Paper
  16. Income Taxes and Mobility of the Rich: Evidence from US and UK Households in Switzerland 

    Köthenbürger, Marko; Stimmelmayr, Michael; Naguib, Costanza; et al. (2022)
    Conference Paper
  17. The Flypaper Effect in Local Public Finance: A Regression Kink Design 

    Köthenbürger, Marko; Loumeau, Gabriel (2022)
    Conference Paper
  18. Income Taxes and Mobility of the Rich: Evidence from US and UK Households in Switzerland 

    Stettler, Christian; Naguib, Costanza; Stimmelmayr, Michael; et al. (2022)
    Conference Paper
  19. Light-Controlled Switching in Electro-Optical Memristors 

    Luisier, Mathieu; Kevin Portner; Christoph Weilenmann; et al. (2022)
    Conference on Lasers and Electro-Optics
    Conference Paper
  20. Memristor with optically tunable dynamics 

    Luisier, Mathieu; C. Weilenmann; K. Portner; et al. (2022)
    Conference on Lasers and Electro-Optics
    Conference Paper

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