Sökning: "Parameter Stability"

Visar resultat 1 - 5 av 143 uppsatser innehållade orden Parameter Stability.

  1. 1. Machine Learning model applied to Reactor Dynamics

    Master-uppsats, KTH/Fysik

    Författare :Dionysios Dimitrios Nikitopoulos; [2023]
    Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

  3. 2. Improved Energy Benchmarking of Supermarkets Buildings

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

    Författare :Sahar Shaghiasl; [2023]
    Nyckelord :;

    Sammanfattning : Amongst commercial spaces, supermarkets are the most energy intensive building and the presence of these building is expected to rise. Therefore, the study of energy efficiency and the impact of supermarket on environment is the important areas which needs a lot of research. LÄS MER

  4. 3. Approaches and Techniques to Assess the Accuracy of Network Emulators

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Alice Ekblad; Anna Höglund; [2023]
    Nyckelord :network emulator; mobile networks; testing;

    Sammanfattning : As the mobile communication world expands in size and complexity, the need for testing the solutions in a controlled environment before deployment is as pronounced as ever. Simultaneously, new tools and products are developed to optimize the process and reduce costs. LÄS MER

  5. 4. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Författare :Laura Murphy; [2023]
    Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER

  7. 5. Development and Analysis of Small Signal DQ-Frame Model for Low Frequency Stability of Train Converters

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

    Författare :Fabian Tidner; [2023]
    Nyckelord :Low Frequency stability; DQ-frame modeling; Single phase converter; Electric rail way systems; Lågfrekvent stabilitet; DQ-ram modellering; Enfasig likriktare; Elektriska järnvägssystem;

    Sammanfattning : In order to meet the increasing demand for sustainable transportation, trains need to run with tighter schedules, more departures and more trains in depot. Multiple trains in depot has been linked to low frequency instability at many locations around the world. LÄS MER