Essays about: "dynamik"

Showing result 1 - 5 of 221 essays containing the word dynamik.

  1. 1. Timber Concrete Composite floors with Cross Laminated Timber - Structural behavior & Design

    University essay from Lunds universitet/Avdelningen för Konstruktionsteknik; Lunds universitet/Institutionen för byggvetenskaper

    Author : Albin Forsberg; Filip Farbäck; [2020]
    Keywords : timber concrete composite; TCC; floors; cross-laminated timber; CLT; structural behavior; design methods; Gamma method; Equivalent gamma method; Extended gamma method; RFEM; first natural frequency; serviceability limit state; ultimate limit state; Technology and Engineering;

    Abstract : På grund av den ökade miljö- och klimatmedvetenheten har övergången till förnybara material påskyndats, och detsamma gäller intresset för träbyggande. Med att bygga högt i trä kommer dock ett flertal konstruktionsmässiga utmaningar, där en av utmaningarna är dynamik på grund av träets låga egenvikt jämfört med andra mer konventionella byggnadsmaterial. READ MORE

  2. 2. Buskar : användning i offentliga planteringar

    University essay from SLU/Department of Landscape Architecture, Planning and Management (from 130101)

    Author : Pernilla Fridberg; [2020]
    Keywords : buskar; artdiversitet; diversitet; artrikedom; gestaltning; offentliga miljöer; succession; beskärning; skötsel; värden; säsongsvariationer; växtkomposition; upplevelsevärden; succession; dynamik; konkurrensstrategi; shrubs; species diversity; biodiversity; design proposal; public environment; succession; pruning; management; values; season variations; plant composition; composition principles; experience value;

    Abstract : Idag används buskar framförallt i monotona samplanteringar där de betraktas som byggda element, synonyma med betong. Succession, dynamik och konkurrensstrategier har haft ingen eller mycket liten del i planeringen av gröna miljöer. READ MORE

  3. 3. A Study of the Loss Landscape and Metastability in Graph Convolutional Neural Networks

    University essay from KTH/Matematisk statistik

    Author : Sofia Larsson; [2020]
    Keywords : Graph neural networks; Graph convolutional neural networks; Loss landscape; Gradient descent; Stochastic gradient descent; Stochastic gradient Langevin dynamics; Grafneurala nätverk; grafiska faltningsnätverk; lösningslandskap; gradientmetoder; stokastiska gradientmetoder; stokastisk gradient Langevin dynamik;

    Abstract : Many novel graph neural network models have reported an impressive performance on benchmark dataset, but the theory behind these networks is still being developed. In this thesis, we study the trajectory of Gradient descent (GD) and Stochastic gradient descent (SGD) in the loss landscape of Graph neural networks by replicating Xing et al. READ MORE

  4. 4. Sustainable Solutions in the Aviation Industry : A scenario analysis of electrified aircrafts, sustainable aviation fuels and carbon offsetting

    University essay from KTH/Skolan för industriell teknik och management (ITM); KTH/Skolan för industriell teknik och management (ITM)

    Author : Niklas Jönsson; Fredrik Hillesöy; [2020]
    Keywords : Aviation; carbon offsetting; air travel comparison site; biofuel; electrified aircrafts; scenario analysis.; Flygindustrin; klimatkompensation; flygprisjämförelsesite; scenario analys; elektriska flygplan; biobränsle;

    Abstract : Global warming is an issue that affects the entire world. The aviation industry accounts for around three percent of global emissions, and actions are needed to help steer the industry towards a sustainable transition with new technologies and alternative aviation fuels to reduce emissions. READ MORE

  5. 5. Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

    University essay from KTH/Matematisk statistik

    Author : Rutger Fuglesang; [2020]
    Keywords : Statistics; applied mathematics; sequential monte carlo; SMC; Statistical inference; Statisk; sekventiell monte carlo; SMC; tillämpad matematik;

    Abstract : This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistical inference from data streams tends to be difficult, and this is particularly the case for parametric models, which will be the focus of this paper. READ MORE