Sökning: "virtuella nätverk"

Visar resultat 6 - 10 av 73 uppsatser innehållade orden virtuella nätverk.

  1. 6. Deep Ring Artifact Reduction in Photon-Counting CT

    Master-uppsats, KTH/Fysik

    Författare :Konstantinos Liappis; [2022]
    Nyckelord :Photon¬counting; Spectral CT; Material Decomposition; Deep learning; Resnet; Ring artifact; Sinogram; Fotonräknande; Spektral datortomografi; Materialdekomposition; Djupinlärning; Resnet; Ringartefakt; Sinogram;

    Sammanfattning : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. LÄS MER

  3. 7. Generating synthetic golf courses with deep learning : Investigation into the uses and limitations of generative deep learning

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

    Författare :Carl Lundqvist; [2022]
    Nyckelord :Generative adverserial networks; generative models; golf; terrain generation; GAN; Generativa adversiella nätverk; generativa modeller; golf; genererad terräng; GAN;

    Sammanfattning : The power of generative deep learning has increased very quickly in the past ten years and modern models are now able to generate human faces that are indistinguishable from real ones. This thesis project will investigate the uses and limitations of this technology by attempting to generate very specific data, images of golf holes. LÄS MER

  4. 8. Cryptocurrencies future carbon footprint : An exploratory scenario analysis of cryptocurrencies' future energy consumption and carbon emission.

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

    Författare :Jacob Tunberg; [2022]
    Nyckelord :Cryptocurrencies; sustainability; energy consumption; carbon emission; Proof of Work; Proof of Stake.; Kryptovalutor; Hållbarhet; Elkonsumtion; Koldioxidutsläpp; Proof of Work Proof of Stake.;

    Sammanfattning : Since the creation of Bitcoin, the virtual currency has attracted the attention of many people and is now a household name synonymous with cryptocurrencies. Today, many thousands of different variants of cryptocurrencies exist, and more are being launched each day. LÄS MER

  5. 9. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation

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

    Författare :Yang Wang; [2022]
    Nyckelord :Gazebo; YOLO; Object detection; Fault tolerance; Fault Injection; Network pruning; Gazebo; YOLO; Objektdetektering; Feltolerans; Felinjektion; Nätverk beskärning;

    Sammanfattning : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. LÄS MER

  7. 10. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Författare :Thomas Wang; [2021]
    Nyckelord :Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Sammanfattning : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. LÄS MER