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Eye Tracking-Based Speech Label Estimation for Auditory Attention Decoding with Portable EEG

In this study, we investigate integrating eye tracking with auditory attention decoding (AAD) using portable EEG devices, specifically a mobile EEG cap and cEEGrid, in a preliminary analysis with a single participant. A novel audiovisual dataset was collected using a mobile EEG system designed to simulate real-life listening environments. Our study has two main objectives: (1) to use eye tracking

Indirect Approach to Mixed-Integer Optimal Control

We study mixed-integer optimal control problem using indirect approaches. The proposed method relies on splitting algorithms which separate the mixed problem into two solvable pieces and then iteratively alternating between the two. The algorithm gives approximated local solutions, and provides lower and upper bounds estimations of the global optimum. Simulations are provided to validate our appro

Real-Time Rendering for AR/VR with Novel View Synthesis

Real-time 3D reconstruction is crucial for immersive AR/VR but is hard to achieve with traditional photogrammetry and mesh-based pipelines due to latency and limited scalability. Neural Radiance Fields (NeRF) enable high-quality novel view synthesis but suffer from long training and slow rendering, while Gaussian Splatting (GS) achieves real-time rendering at the cost of heavy preprocessing and me

Multidimensional perfectionism and academic burnout in university students: the moderating role of autonomy support

The present study aims to explore the relationship between academic burnout, multidimensional perfectionism, and students’ perceived autonomy support from the teacher/instructor, while accounting for sleep. The final sample contained 147 university students with the mean age of 26 years. Three moderation regressions were carried out in the analysis. The results demonstrated that multidimensional p

Novel Method of ASIC interface IP development using HLS

High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. As precise control of signal ti

Har lagstiftaren mist koll på EU:s dataskyddskrav? - En analys av artikel 85 GDPR och dess konsekvenser i förhållande till den svenska regleringen av digitala söktjänster med utgivningsbevis

I Sverige finns ett antal företag som med stöd av offentlighetsprincipen samlar in personuppgifter ur allmänna handlingar och publicerar dessa i söktjänster på internet. Genom användning av söktjänsterna går det att skapa sig en utförlig bild av en viss individ. Söktjänsterna har i regel beviljats utgivningsbevis och omfattas därför av grundlagsskyddet i YGL. I Sverige har en vedertagen uppfattninIn Sweden, there are several companies that, relying on the principle of public access to official documents, gather personal data and publish this information in online search services. Through use of these services, it is possible to access a detailed profile of a specific individual. The search services have generally been granted a so-called certificate of publication and are consequently prot

Faster data structures and graphics hardware techniques for high performance rendering

Computer generated imagery is used in a wide range of disciplines, each with different requirements. As an example, real-time applications such as computer games have completely different restrictions and demands than offline rendering of feature films. A game has to render quickly using only limited resources, yet present visually adequate images. Film and visual effects rendering may not have st

Masked Depth Culling for Graphics Hardware

Hierarchical depth culling is an important optimization, which is present in all modern high performance graphics processors. We present a novel culling algorithm based on a layered depth representation, with a per-sample mask indicating which layer each sample belongs to. Our algorithm is feed forward in nature in contrast to previous work, which rely on a delayed feedback loop. It is simple to i

Dynamic Mapping of Diesel Engine through System identification

From a control design point of view, modern diesel engines are dynamic, nonlinear, MIMO systems. This paper presents a method to find low-complexity black-box dynamic models suitable for model predictive control (MPC) of NOx and soot emissions based on on-line emissions measurements. A four-input-five-output representation of the engine is considered, with fuel injection timing, fuel injection dur

Estimation of turbulent fragmenting forces in a high-pressure homogenizer from computational fluid dynamics

The aim of this study was to find models for turbulent fragmenting forces in the high-pressure homogeniser from data available in Computational Fluid Dynamics (CFD) simulations with Reynolds Averaged Navier Stokes (RANS) turbulence models. In addition to the more common RANS k-epsilon turbulence models, a Multi-scale k-epsilon model was tested since experimental investigations of the geometry impl

Interactive rendering of NURBS surfaces

NURBS (Non-uniform rational B-splines) surfaces are one of the most useful primitives employed for high quality modeling in CAD/CAM tools and graphics software. Since direct evaluation of NURBS surfaces on the GPU is a highly complex task, the usual approach for rendering NURBS is to perform the conversion into Bezier surfaces on the CPU, and then evaluate and tessellate them on the GPU. In this p

Hyperplane Culling for Stochastic Rasterization

We present two novel culling tests for rasterization of simultaneous depth of field and motion blur. These tests efficiently reduce the set of xyuvt samples that need to be coverage tested within a screen space tile. The first test finds linear bounds in ut - and vt -space using a separating line algorithm. We also derive a hyperplane in xyuvt - space for each triangle edge, and all samples outside

Dynamic parameter estimation of atomic layer deposition kinetics applied to in situ quartz crystal microbalance diagnostics

This paper presents the elaboration of an experimentally validated model of a continuous cross-flow atomic layer deposition (ALD) reactor with temporally separated precursor pulsing encoded in the Modelica language. For the experimental validation of the model, in situ quartz crystal microbalance (QCM) diagnostics was used to yield submonolayer resolution of mass deposition resulting from thin fil

Partitioning and Mapping Dynamic Dataflow Programs

Partitioning and mapping are important design decisions in exploiting the parallelism of programs that are to be run on systems with multiple processing elements. In this paper we introduce a fast, incremental approach for mapping dynamic dataflow programs to multiprocessor systems. We use causation traces and architecture descriptions as input for the mapping process that devises several heuristi

Performance per What?

In this short note, we argue that performance per watt, which is often cited in the graphics hardware industry, is not a particularly useful unit for power efficiency in scientific and engineering discussions. We argue that joules per task and watts are more reasonable units. We show a concrete example where nanojoules per pixel is much more intuitive, easier to compute aggregate statistics from,

High resolution experimental measurement of turbulent flow field in a high pressure homogenizer model and its implications on turbulent drop fragmentation

Particle image velocimetry is performed on a model of a high pressure homogenizer, scaled for qualitative similarity of the one phase turbulent flow field in a production scale homogenizer. Flow fields in gap entrance, gap and gap outlet chamber are obtained with high resolution. The measurements show gap flow development and formation of a turbulent wall adherent jet when exiting into the outlet

Optimization of portable parallel signal processing applications by design space exploration of dataflow programs

Abstract in UndeterminedThis paper describes a methodology for the optimization of portable parallel signal processing applications specified by dataflow programs. The use of dataflow as a programming model for signal processing applications targeting parallel platforms provides an important advantage versus the traditional sequential programming paradigm: the portability of parallelism. The paper

High-Quality Curve Rendering using Line Sampled Visibility

Computing accurate visibility for thin primitives, such as hair strands, fur, grass, at all scales remains difficult or expensive. To that end, we present an efficient visibility algorithm based on spatial line sampling, and a novel intersection algorithm between line sample planes and Bezier splines with varying thickness. Our algorithm produces accurate visibility both when the projected width o