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P for Platform. Architectures of large-scale participatory design
(Journal article; Peer reviewed, 2017)Participatory Design (PD) has traditionally been committed to extensive interaction between developers and situated users to mitigate the disempowering consequences of computerization, such as the deskilling of labour ... -
Pac-Man in VR on the Omnideck
(Bachelor thesis, 2023)Det klassiske problemet i VR er hvordan man kan oppnå høyere immersjon og tilstedeværelse for brukeren samtidig som man unngår de vanligste fallgruvene. Et gjenstående problem dreier seg om naturlig interaksjon i større ... -
Paint it Green - A Game for Increasing Your Physically Activity
(Master thesis, 2022)Denne oppgaven er en del av Game Technology for Health (GT4H)-nettverket og bidrar til NTNU sin forskning p˚a treningsspill. En stillesittende livssil øker sjansen for helseplager som diabetes type 2 og hjerteinfarkt. ... -
Paint it Green - A Game for Increasing Your Physically Activity
(Master thesis, 2022)Denne oppgaven er en del av Game Technology for Health (GT4H)-nettverket og bidrar til NTNU sin forskning på treningsspill. En stillesittende livssil øker sjansen for helseplager som diabetes type 2 og hjerteinfarkt. ... -
Parallel Algorithms for Neuronal Spike Sorting
(Master thesis, 2011)Neurons communicate through electrophysiological signals, which may be recorded using electrodes inserted into living tissue.When a neuron emits a signal, it is referred to as a spike, and an electrode can detect these ... -
Parallel Methods for Projection on Strongly Curved Surfaces
(Master thesis, 2011)Using the parallel architecture of the graphics processing unit for general purpose programming has become increasingly common in the recent years. The process of creating a mathematically correct transformation of a scene ... -
Parallel Methods for Real-Time Visualization of Snow
(Master thesis, 2006)Using computer generated imaging is becoming more and more popular in areas such as computer gaming, movie industry and simulation. A familiar scene in the winter months for most us in the Nordic countries is snow. This ... -
Parallel Programming with MPI through Gaming
(Master thesis, 2022)Mangel på erfaring med parallell programmering blant programmerere er en økende bekymring. Dette er problematisk ettersom parallell programmering kreves for å utnytte komponenter som GPUer og flerkjerne-CPUer fullt ut. Vi ... -
Parallel query evaluation on multicore architectures
(Master thesis, 2010)Multicore processors are common in server systems sold today. Writingapplication software that takes advantage of such systems, not to mentionadopting existing software to the parallel domain, is complex. Workloads such ... -
Parallel Scalability of Adaptive Mesh Refinement in a Finite Difference Solution to the Shallow Water Equations
(Peer reviewed; Journal article, 2020)The Shallow Water Equations model the fluid dynamics of deep ocean flow, and are used to simulate tides, tsunamis, and storm surges. Numerical solutions using finite difference methods are computationally expensive enough ... -
Parallel Seismic Inversion for Shared Memory Systems
(Master thesis, 2010)In this thesis will explore how a scientific application forseismic inversion can take advantage of multi-core programming on x86 architecture. The thesis will focus on most effective domain divisions, communication patterns ... -
Parallel Techniques for Estimation and Correction of Aberration in Medical Ultrasound Imaging
(Master thesis, 2009)Medical ultrasound imaging is a great diagnostic tool for physicians because of its noninvasive nature. It is performed by directing ultrasonic sound into tissue and visualizing the echo signal. Aberration in the reflected ... -
Parallelization of Artificial Spiking Neural Networks on the CPU and GPU
(Master thesis, 2009)Conventional artificial neural networks have traditionally faced inherent problems with efficient parallelization of neuron processing. Recent research has shown how artificial spiking neural networks can, with the ... -
Parallelization of Gabor-like Filter Application on Different Hardware Architectures
(Bachelor thesis, 2024)Denne bacheloroppgaven er inspirert av et prosjekt gjennomført i emnet ”Anvendt maskinlæring med prosjekt” (IDATT2502), som omhandlet bruk av Gabor-filtre for bildeklassifisering og utforsking av effekten av støy på disse ... -
Parallelization of Local Learning Rules
(Bachelor thesis, 2022)Denne bacheloroppgaven er et arbeid basert på en artikkel skrevet av Ole Christian Eidheim, som beskriver en "novel unsupervised learning rule based on Gaussian functions that can perform online clustering without needing ... -
Parallelizing Particle-In-Cell Codes with OpenMP and MPI
(Master thesis, 2007)Today's supercomputers often consists of clusters of SMP nodes. Both OpenMP and MPI are programming paradigms that can be used for parallelization of codes for such architectures. OpenMP uses shared memory, and hence is ... -
Parameter-based online optimization in metric indexing using Bentley-Saxe transformations
(Master thesis, 2021)Metrisk indeksering er et viktig verktøy for å kunne søke i store datamengder. Mange algoritmer og datastrukturer i dette feltet bruker en form for parameter i indekseringsprossessen. Det optimale valget for denne parameteren ... -
Parameter-Free Matrix Decomposition for Specular Reflections Removal in Endoscopic Images
(Peer reviewed; Journal article, 2023)Objective: Endoscopy is a medical diagnostic procedure used to see inside the human body with the help of a camera-attached system called the endoscope. Endoscopic images and videos suffer from specular reflections (or ... -
Parametric Generation of Polygonal Tree Models for Rendering on Tessellation-Enabled Hardware
(Master thesis, 2010)The main contribution of this thesis is a parametric method for generation of single-mesh polygonal tree models that follow natural rules as indicated by da Vinci in his notebooks. Following these rules allow for a relatively ... -
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention
(Journal article, 2022)Self-Attention is a widely used building block in neural modeling to mix long-range data elements. Most self-attention neural networks employ pairwise dot-products to specify the attention coefficients. However, these ...