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Aufsatz
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Composite spatial manipulation framework for redirected walking
(2022-10-31)
In this study, we present a composite spatial manipulation framework for the redirected walking technique. The proposed framework focuses on utilizing two different approaches simultaneously to manipulate the user’s position and orientation in the physical space, aiming to substantially improve their redirection in a confined physical space and reduce the special requirements for the RDW technique. Each approach utilizes different perceptual processes. The first is a discrete spatial manipulation approach that ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts
(2023-03-14)
There is recent interest in using model hubs – a collection of pre-trained models – in computer vision tasks. To employ a model hub, we first select a source model and then adapt the model for the target to compensate for differences. There still needs to be more research on model selection and adaption for renewable power forecasts. In particular, none of the related work examines different model selection and adaptation strategies for neural network architectures. Also, none of the current studies investigates the ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Experimental and numerical polarization analysis of the 3D transfer behavior in microsphere-assisted interferometry for 1D phase gratings
(2023-06-08)
Enhancing the lateral resolution in optical microscopy and interferometry is of great interest in recent research. In order to laterally resolve structures including feature dimensions below the Abbe resolution limit, microspheres in the optical near-field of the specimen are shown to locally improve the resolution of the imaging system. Experimental and simulated results following this approach are obtained by a high NA Linnik interferometer and analyzed in this contribution. They show the reconstructed surface of ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
The role of design patterns in the development and legal assessment of lawful technologies
(2022-10-22)
Novel technologies such as smart personal assistants integrate digital services into everyday life. These services use personal data to offer personalized services. While they are subject to special data protection regulations at the time of development, there are few guidelines describing the transition from legal requirements to implementation. To reduce risks, services depend on external legal assessments. With developers and legal experts often missing either legal or technical knowledge, the challenge lies in ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
On the Performance of Malleable APGAS Programs and Batch Job Schedulers
(2024-01-18)
Malleability—the ability for applications to dynamically adjust their resource allocations at runtime—presents great potential to enhance the efficiency and resource utilization of modern supercomputers. However, applications are rarely capable of growing and shrinking their number of nodes at runtime, and batch job schedulers provide only rudimentary support for such features. While numerous approaches have been proposed to enable application malleability, these typically focus on iterative computations and require ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Shared digital artifacts – Co-creators as beneficiaries in microlearning development
(2023-08-11)
Continuing vocational training benefits from the employees’ ability to share individual experience and expertise with their co-workers, as these assets constitute competitive advantages for companies. IT-supported systems can facilitate processes of knowledge elicitation (e. g. as part of collaborative co-creation) to ensure retainment of preferred qualitative characteristics of the resulting knowledge artifacts and provide ample opportunities to manage and configure a growing number of such artifacts in a company’s ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Designing a Co-creation System for the Development of Work-process-related Learning Material in Manufacturing
(2022-01-12)
The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to support employees in the independent design of such situated learning materials. ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Optimised use of data fusion and memory-based learning with an Austrian soil library for predictions with infrared data
(2023-06-24)
Infrared spectroscopy in the visible to near-infrared (vis–NIR) and mid-infrared (MIR) regions is a well-established approach for the prediction of soil properties. Different data fusion and training approaches exist, and the optimal procedures are yet undefined and may depend on the heterogeneity present in the set and on the considered scale. The objectives were to test the usefulness of partial least squares regressions (PLSRs) for soil organic carbon (SOC), total carbon (Ct), total nitrogen (Nt) and pH using ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
(2024-02-28)
Graph Neural Networks (GNNs) are a large class of relational models for graph processing. Recent theoretical studies on the expressive power of GNNs have focused on two issues. On the one hand, it has been proven that GNNs are as powerful as the Weisfeiler–Lehman test (1-WL) in their ability to distinguish graphs. Moreover, it has been shown that the equivalence enforced by 1-WL equals unfolding equivalence. On the other hand, GNNs turned out to be universal approximators on graphs modulo the constraints enforced by ...
Aufsatz
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Task-Level Checkpointing and Localized Recovery to Tolerate Permanent Node Failures for Nested Fork–Join Programs in Clusters
(2024-03-13)
Exascale supercomputers consist of millions of processing units, and this number is still growing. Therefore, hardware failures, such as permanent node failures, become increasingly frequent. They can be tolerated with system-level Checkpoint/Restart, which saves the whole application state transparently and, if needed, restarts the application from the saved state; or with application-level checkpointing, which saves only relevant data via explicit calls in the program. The former approach requires no additional ...