Lower-level publication types

Recent Submissions 

  1. Low-regret decisions for the steam supply in the chemical industry 

    Nolzen, Niklas; Lademann, Alexander; Roskosch, Dennis; et al. (2024)
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  2. Process design of hybrid temperature-antisolvent crystallization powered by machine learning 

    Bosetti, Luca; Winter, Benedikt; Wittenberg, Lisanne; et al. (2024)
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  3. Perceived highway nuisance in a residents’ context 

    Hamersma, Marije; Arts, Jos; Tillema, Taede; et al. (2015)
    Conference Paper
  4. Workers mode choice in the Netherlands 

    Heinen, Eva; Maat, Kees; van Wee, Bert (2009)
    Commuting is an important aspect of travel behavior for the society, because it contributes to economic prosperity. In the Netherlands, it covers about 30 per cent of the number of trips, which is more or less comparable with other western countries. Nevertheless, as commuting is mandatory and fixed in time and place for most employed people, commuting is concentrated and consequently sensitive for traffic congestion and a cause of ...
    Conference Paper
  5. Het effect van werk gerelateerde aspecten op fietsgebruik voor woon-werkverkeer 

    Heinen, Eva; van Wee, Bert; Maat, Kees (2008)
    Fietsen is goed voor het milieu en gezondheid, goedkoop en heeft relatief weinig ruimte nodig. Vanwege deze voordelen proberen overheden fietsgebruik te stimuleren in het algemeen en voor woon-werkverkeer. Ondanks dat veel factoren in eerder onderzoek van invloed blijken te zijn, is relatief weinig aandacht besteed aan het effect van aspecten, die met de werksituatie samenhangen. Dit paper probeert te achterhalen welke werkgerelateerde ...
    Conference Paper
  6. DVIO - Distributed Visual-Inertial Odometry in a Multi-user Environment 

    Zhang, Juyi; Lutfallah, Mathieu; Kunz, Andreas (2024)
    2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
    Head-mounted displays typically use a visual-inertial odometry system, which relies on the headset’s camera combined with Inertial Measurement Units. While effective, this setup fails if the camera is obstructed or if the environments lacks features. Traditional recalibration methods like place recognition often fall short in such settings. Addressing this, the paper proposes a novel distributed tracking method that uses the positions of ...
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  7. Exploring the Significance of Explanation in the Construction of Conceptual Metaphors 

    Müller, Charlotte H.; Reiher, Markus; Kapur, Manu (2024)
    Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024
    Previous research showed that embodied activities can facilitate learning irrespective of the learner’s awareness of the aim of the activity. In contrast, we present findings that suggest a need for this awareness under specific circumstances. We present the results of a study, in which the students received force feedback as a grounding opportunity for the concept of force in a quantum chemical context. We previously found that if ...
    Conference Paper
  8. Zwischen Ritual und Relief – wenn der Computer schielt: Analyse KI-gestützter Erschliessung im Bildarchiv der ETH-Bibliothek 

    Graf, Nicole (2024)
    Das Bildarchiv der ETH-Bibliothek setzt seit 2021 gezielt künstliche Intelligenz zur automatisierten Klassifikation seiner Bilder ein, weniger als Ersatz, sondern als Ergänzung zur intellektuellen Verschlagwortung. Nach dem ersten Durchlauf mit dem Computer-Vision-Modell «General» der Firma Clarifai sind über eine Million Bilder mit Keywords getaggt. Der Aufwand an Zeit und Rechenleistung war beträchtlich. Erste Stichproben zeigten, dass ...
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  9. Uncovering the Circular Potential: Estimating Material Flows for Building Systems Components Reuse in the Swiss Built Environment 

    Xiong, Shuyan; Zea Escamilla, Edwin; Habert, Guillaume (2024)
    Accelerated Design - Proceedings of the 29th CAADRIA Conference
    The construction industry plays a critical role in global resource consumption and greenhouse gas emissions, highlighting the urgent need for sustainable development practices. However, a key challenge in this area is the lack of effective models for resource use that align with circular economy principles. This gap hinders efforts to achieve sustainable resource management, especially in the face of increasing urbanization and material ...
    Conference Paper
  10. An Ontology-based Reasoning Framework: Towards Multi-level and Data-efficient Building Material Stock Modelling 

    Pei, Wanyu; Xiong, Shuyan; Habert, Guillaume; et al. (2024)
    Accelerated Design - Proceedings of the 29th CAADRIA Conference
    The materials stored in existing urban buildings represent a significant share of globally accumulated resources, the composition and quantity of which should be tracked for management and reuse purposes. Due to the coarse-grained nature of building data at the city level, the description of building material stock (BMS) is usually limited to the material intensity (MI) level of several key materials, omitting the component-level analysis ...
    Conference Paper
  11. Automating Life Cycle Assessment from Chemical Process Simulations 

    Spiekermann, Lukas; Sewani, Hitesh; Lochmann, Sebastian; et al. (2024)
    Advancing sustainability requires knowledge on the environmental impacts of chemicals. For this purpose, life cycle assessment is the preferred method, but usually carried out by manually extracting data from process simulation software and transferring data to life cycle assessment software. This process is very labor-intensive and error-prone. Here, we bridge the gap between process simulation and life cycle assessment by automated ...
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  12. EMPIRICALLY TUNED MECHANICAL SIMULATION MODEL OF 3D-PRINTED BIAXIAL WEAVES 

    Wirth, Marc; Shea, Kristina (2023)
    PROCEEDINGS OF ASME 2023 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2023, VOL 3A
    Additive manufacturing facilitates the realization of previously infeasible designs. Amongst them are 3D-printed textiles and specifically 3D-printed weaves. Textile designs can be spatially tuned in their mechanical properties by changing the pattern and material locally, when printed on a multi-material 3D printer. To inversely design weaves with desired mechanical properties, an efficient simulation of the mechanical behavior of textiles ...
    Conference Paper
  13. Towards Elastic Bone Characterization in Transcranial Ultrasound 

    Marty, Patrick; Mitcham, Trevor; Ali, Rehman; et al. (2024)
    MEDICAL IMAGING 2024: ULTRASONIC IMAGING AND TOMOGRAPHY
    Constructing a physics-augmented digital twin of the skull is imperative for a wide range of transcranial ultrasound applications including ultrasound computed tomography and focused ultrasound therapy. The high impedance contrast as well as the acoustic-elastic coupling observed between soft tissue and bone increase the complexity of the ultrasound wavefield considerably, thus emphasizing the need for waveform-based inversion approaches. ...
    Conference Paper
  14. Plane Hamiltonian Cycles in Convex Drawings 

    Bergold, Helena; Felsner, Stefan; Reddy, Meghana M.; et al. (2024)
    Leibniz International Proceedings in Informatics (LIPIcs) ~ 40th International Symposium on Computational Geometry
    A conjecture by Rafla from 1988 asserts that every simple drawing of the complete graph Kn admits a plane Hamiltonian cycle. It turned out that already the existence of much simpler non-crossing substructures in such drawings is hard to prove. Recent progress was made by Aichholzer et al. and by Suk and Zeng who proved the existence of a plane path of length Ω(log n/log log n) and of a plane matching of size Ω(n1/2) in every simple drawing ...
    Conference Paper
  15. A Topological Version of Schaefer’s Dichotomy Theorem 

    Schnider, Patrick; Weber, Simon (2024)
    Leibniz International Proceedings in Informatics (LIPIcs) ~ 40th International Symposium on Computational Geometry (SoCG 2024)
    Schaefer’s dichotomy theorem states that a Boolean constraint satisfaction problem (CSP) is polynomial-time solvable if one of four given conditions holds for every type of constraint allowed in its instances. Otherwise, it is NP-complete. In this paper, we analyze Boolean CSPs in terms of their topological complexity, instead of their computational complexity. Motivated by complexity and topological universality results in computational ...
    Conference Paper
  16. A Two-Stage Deep Learning Based Approach for Predicting Instantaneous Vehicle Speed Profiles on Road Networks 

    Dib, Abdelkader; Sciarretta, Antonio; Balac, Milos (2023)
    2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
    Prediction of vehicle speed profiles is vital to many transportation and vehicular applications. However, accurately predicting these profiles remains challenging due to the complex and uncertain nature of the factors influencing driver behavior. This research presents a novel data-driven model that leverages a deep two-stage long short-term memory (LSTM) architecture to effectively capture the relationship between vehicle speed and ...
    Conference Paper
  17. Expanding the Boundaries of Stability: Enlarging the Region of Attraction in Mixed Platoon Systems 

    Kouvelas, Anastasios; Mousavi, Shima Sadat; Bahrami, Somayeh (2023)
    2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
    This paper investigates a mixed traffic system consisting of a number of human-driven vehicles (HDVs) and connected and automated vehicles (CAVs) travelling on a single-lane ring-road. The dynamics of HDVs are described by the optimal velocity model. A nonlinear system's stability crucially relies on the size of the region of attraction associated with the stabilized equilibrium. Our research aims to design a controller that stabilizes ...
    Conference Paper
  18. Prior Based Online Lane Graph Extraction from Single Onboard Camera Image 

    Baran Can, Yigit; Liniger, Alexander; Paudel, Danda; et al. (2023)
    2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
    The local road network information is essential for autonomous navigation. This information is commonly obtained from offline HD-Maps in terms of lane graphs. However, the local road network at a given moment can be drastically different than the one given in the offline maps; due to construction works, accidents etc. Moreover, the autonomous vehicle might be at a location not covered in the offline HD-Map. Thus, online estimation of the ...
    Conference Paper
  19. Online Lane Graph Extraction from Onboard Video 

    Baran Can, Yigit; Liniger, Alexander; Paudel, Danda; et al. (2023)
    2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
    Autonomous driving requires a structured understanding of the surrounding road network to navigate. One of the most common and useful representation of such an understanding is done in the form of BEV lane graphs. In this work, we use the video stream from an onboard camera for online extraction of the surrounding's lane graph. Using video, instead of a single image, as input poses both benefits and challenges in terms of combining the ...
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