Sökning: "2D modell"

Visar resultat 1 - 5 av 178 uppsatser innehållade orden 2D modell.

  1. 1. Design of a 2-D Lattice Flower Constellation for Earth observation applying the twin satellite concept

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Julia Martín-Fuertes Brañas; [2023]
    Nyckelord :2D Lattice Flower Constellation design; number of satellites; number of planes; revisit time; coverage; optimized constellation; target list; twin satellite concept; FreeFlyer; 2D Lattice Flower Constellation design; antal satelliter; antal plan; återbesökstid; täckning; optimerad konstellation; mållista; tvilling-satellit-koncept; FreeFlyer;

    Sammanfattning : Events such as forest fires or floods are a danger to our Earth’s environment and the people living in it. The sooner they can be detected, the less damage they can cause. An idea arises: use satellites to monitor the Earth and relay information to prevention and rescue organizations in a very short time, regardless of accessibility from ground. LÄS MER

  2. 2. Shape depiction using Local Light Alignment : Evaluating the shape enhancement capabilities of the Local Light Alignment technique at multiple scales

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Edvard Ahlsén; [2023]
    Nyckelord :Shape depiction; Non-photorealistic rendering; Shading; Multiple scales; Formskildring; ickerealistisk rendering; skuggning; skalrymdsmetoder;

    Sammanfattning : Local Light Alignment is a new shading based technique in the field of shape depiction, a field which concerns itself with techniques to represent and enhance the three-dimensional (3D) shape of objects in two-dimensional (2D) visual media. The main idea of Local Light Alignment is to locally adjust the incoming direction of light to create contrast in a way that enhances the perception of shape and surface detail. LÄS MER

  3. 3. MANGO - Generating 2D-Magnetic Field Maps From Normal-Conducting Magnets Of Experimental Areas

    Master-uppsats, KTH/Fysik

    Författare :Ambre Visive; [2023]
    Nyckelord :Applied Physics; Particle Physics; MANGO; Magnetic Field Maps; Normal-Conducting Magnets; Finite-Element Modelling; Opera-2D; Git Repository; Python Package; Beam Lines; Experimental Areas; CERN; Tillämpad Fysik; Partikelfysik; MANGO; Magnetfältskartor; Normalkonduktiva Elektromagneter; Finit Elementmodellering; Opera-2D; Git Repository; Python Package; Partikelstrållinje; Experimentområden; CERN;

    Sammanfattning : This thesis discusses the development of MANGO, a tool created to model normal-conducting magnets which were installed in the 1970s in the experimental areas at CERN, and store their analysis. MANGO formulates an answer to two problems faced by the physicists of the Beam Department when they model a beam line: first, how to produce new magnetic field maps and, second, how to easily access existing ones? It contains a multi-use package that offers an automated process to produce magnetic field maps from finite-element models of magnets. LÄS MER

  4. 4. Fracture simulation with a hyperelastic phase field model

    Master-uppsats, KTH/Hållfasthetslära

    Författare :Adrien Fradet; [2023]
    Nyckelord :Fracture; Phase field modeling; Hyperelasticity; Brott; fasfält-methoden; hyperelasticite;

    Sammanfattning : The phase field method is a versatile tool to study crack initiation and propagation in systems with complex geometries. Based on a variational formulation of the equilibrium equations, the sharp crack topology is regularized by a crack with diffusive edges and the damage is described by a continuous phase field variable. LÄS MER

  5. 5. Monte Carlo Localization with Hilbert maps as Likelihood Fields

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :ALEXANDER WALLÉN KIESSLING; [2023]
    Nyckelord :Localization; Monte Carlo; Mapping; Hilbert maps; Observation Likelihood model.; Lokalisering; Monte Carlo; Kartläggning; Hilbert kartor; Sensor modell.;

    Sammanfattning : This work focuses on using sparse Hilbert maps as continuous likelihood field observation models, instead of utilizing traditional beam observation models. This observation model is integrated with a Monte Carlo Localization scheme, and localization is simulated in randomly generated 2D mazes. LÄS MER