Sökning: "prestanda jämförelse"

Visar resultat 1 - 5 av 387 uppsatser innehållade orden prestanda jämförelse.

  1. 1. Objektrelationsmappning ADO vs Dapper : En Jämförande Analys av ADO och Dapper för Dataåtkomst

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Jad Shahda; [2024]
    Nyckelord :ADO; Dapper; ORM; database; ADO; Dapper; ORM; databas;

    Sammanfattning : Vården är Sveriges mest viktiga sektor. Med den dagliga ökningen av personer som söker medicinsk vård behöver sjukvården ha ett väl fungerande system lämpligt för databaser, med målet att minimera den nuvarande belastning som redan vilar på sjukvårdssystemet. LÄS MER

  3. 2. Pulse-width voltage modulation in the Python-based open-source simulator Motulator : A Realization of SVPWM, Harmonic analyzer and Over-modulation on Two and Three-level Inverters, and a Solution for Unbalanced Neutral Point Voltage on Three-level Inverters

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

    Författare :Jiale Deng; [2023]
    Nyckelord :Three-level inverters; over-modulation techniques; space vector modulation; neutral-point voltage balancing; non-uniform Fourier transform; Trenivåväxelriktare; övermodulation; spacevektormodulering; balansering av nollpunktsspänning; olikformig Fouriertransform;

    Sammanfattning : Controlling the dynamic outputs of electrical machines has always been an essential topic in aerospace, automotive and other industries. Electrical machine control consists of several components, each of which can be controlled in various ways. Whereas the dynamic responses are mostly simulated using MATLAB/SIMULINK, Prof. LÄS MER

  4. 3. Comparison between Smoothed-Particle Hydrodynamics and Position Based Dynamics for real-time water simulation

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

    Författare :Rasmus Andersson; Erica Tjernell; [2023]
    Nyckelord :Fluid simulation; Lagrangian fluid simulation; Smoothed-Particle Hydronamics; Position Based Dynamics; Vätskesimulering; Lagransk vätskesimulering; Smoothed-Particle Hydronamics; Position Based Dynamics;

    Sammanfattning : Two of the methods common in video game fluid simulation are SmoothedParticle Hydrodynamics (SPH), and Position Based Dynamics (PBD). They are both Lagrangian methods of fluid simulation. SPH has been used for many years in offline simulations and has truthful visuals, but is not as stable as the newer method PBD when using larger timesteps. LÄS MER

  5. 4. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding

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

    Författare :Corentin Royer; [2023]
    Nyckelord :Deep Learning; Entity Retrieval; Mixer; Transformer;

    Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER

  7. 5. A Dual-Lens Approach to Loss Given Default Estimation: Traditional Methods and Variable Analysis

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :William Jaeckel; Nicolai Versteegh; [2023]
    Nyckelord :Loss given default; estimering; jämförande studie; variabelanalys; kreditförvaltning; utlåning till små och medelstora företag; riskanalys; Loss given default; estimering; jämförande studie; variabelanalys; kreditförvaltning; utlåning till små och medelstora företag; riskanalys;

    Sammanfattning : This report seeks to thoroughly examine different approaches to estimating Loss Given Default through a comparison of traditional estimation methods, as well as a deeper variable analysis on micro, small, and medium-sized companies using primarily regression decision trees. The comparative study concluded that estimating loss given default depends heavily on business-specific factors and data variety. LÄS MER