Sökning: "Overhead Cost"

Visar resultat 11 - 15 av 145 uppsatser innehållade orden Overhead Cost.

  1. 11. Highly Available Task Scheduling in Distinctly Branched Directed Acyclic Graphs

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

    Författare :Patrik Zhong; [2023]
    Nyckelord :Distributed Scheduling; Fault-tolerance; Graph Partitioning; Task Graphs; Dask; Dask Distributed; Data Processing; Distribuerad Schemaläggning; Feltolerans; Grafpartitionering; Uppgiftsgrafer; Dask; Dask Distributed; Dataprocessering;

    Sammanfattning : Big data processing frameworks utilizing distributed frameworks to parallelize the computing of datasets have become a staple part of the data engineering and data science pipelines. One of the more known frameworks is Dask, a widely utilized distributed framework used for parallelizing data processing jobs. LÄS MER

  3. 12. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows

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

    Författare :Samuel Norling; [2022]
    Nyckelord :;

    Sammanfattning : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. LÄS MER

  4. 13. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    Master-uppsats, KTH/Fastigheter och byggande

    Författare :Egil Morast; [2022]
    Nyckelord :Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Sammanfattning : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. LÄS MER

  5. 14. Online Sample Selection for Resource Constrained Networked Systems

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

    Författare :Philip Sjösvärd; Samuel Miksits; [2022]
    Nyckelord :Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

    Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER

  7. 15. MINERAL RENTS AND WEALTH : AN ANALYSIS OF THE DIAMOND MARKET AND THE POTENTIAL TAX SPACE 2010-2019

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

    Författare :Anton Löf; [2022]
    Nyckelord :;

    Sammanfattning : The aim of this thesis is to analyse resource rents in the diamond industry. Based on extensive datasets and a discussion of all relevant costs, resource rent statistics in the diamond industry is examined on a global level for the period 2010-2019. Resource rents give an indication of the available space for taxation. LÄS MER