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In recent years, as 6G wireless systems continue to develop, high-accuracy indoor localization has become increasingly important for future wireless systems. At the same time, reliable indoor positioning is needed by many location-aware applications, such as robotic navigation, emergency healthcare, and smart transportation. Since indoor wireless measurements can vary over time due to multipath pr
Wind damage is one of the most economically and ecologically significant natural disturbances in European forests, yet the cloud cover that follows major storms routinely blocks optical satellite acquisitions for weeks, precisely when rapid damage mapping is most valuable. Synthetic aperture radar (SAR) circumvents this limitation through all-weather imaging, but pixel-level windthrow detection fr
Therapeutic peptides are a fast-increasing segment in the pharmaceutical industry, and GLP-1 analogues stood for two out of the three most sold drugs last year, 2025. The most common production method of peptides is based on Merrifield’s discovery of solid-phase peptide synthesis (SPPS), which uses large volumes of hazardous chemicals like N,N-dimethylformamide (DMF), piperidine, and trifluoraceti
Electricity demand in southern Sweden is expected to increase significantly in the coming decades. More electric cars, cleaner industries, and the phase-out of fossil fuels will require much larger amounts of electricity than today. At the same time, Skåne currently produces only part of the electricity it consumes and depends heavily on electricity imports from other regions and neighbouring coun
Various devices rely on invasive biometric identifiers, such as voice and facial recognition, raising privacy concerns. Acoustic handclap control presents a privacy-preserving alternative for interaction with computers, as it does not capture speech or visual data. An analysis of the original implementation suggested that existing classifiers were influenced by environmental bias. With the objecti
An inverse scattering problem for a slab containing a homogeneous dispersive anisotropic medium is investigated. The inverse problem is to recover two three-dimensional dyadic susceptibility kernels from knowledge of the scattering kernels. Time domain techniques involving transient electromagnetic plane waves, wave splitting, invariant imbedding and a Green function technique are used. The invers
Transient wave propagation in a finite bi-isotropic slab is treated. The incident field impinges normally on the slab, which can be inhomogeneous wrt depth. Dispersion and bi-isotropy are modeled by time convolutions in the constitutive relations. Outside the slab the medium is assumed to be homogeneous, non-dispersive and isotropic, and such that there is no phase velocity mismatch at the boundar
In this ANNIE project – Applications of Neural Networks to Integrated Ergonomics – BE96-3433, a tool for integrating ergonomics into the design process is developed. This paper presents some features in the current ANNIE as applied to the design of car interiors. A variant of the ERGOMan mannequin with vision is controlled by a hybrid system for neuro-fuzzy simulation. It is trained by using an El
This paper presents a hardware architecture for calculating the city-block and chessboard distance transform on binary images. It is based on applying multiple morphological erosions and adding the result, enabling both processing pixels in raster scan order and a deterministic execution time. Which distance metric to be calculated is determined by the shape of the structuring element, i.e. diamon
