Sökning: "Dataflow"

Visar resultat 11 - 15 av 37 uppsatser innehållade ordet Dataflow.

  1. 11. Hardware Utilisation Techniques for Data Stream Processing

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

    Författare :Max Meldrum; [2019]
    Nyckelord :Data Analytics; Data Stream Processing; Distributed Systems;

    Sammanfattning : Recent years have seen an increase in use of the stream processing architecture to compose continuous analytics applications. This thesis presents the design of a Rust-based stream processor that adopts two separate techniques to tackle existing weaknesses in modern production-grade stream processors. LÄS MER

  3. 12. Automating dataflow for a machine learning algorithm

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

    Författare :Albert Gunneström; Erik Bauer; [2019]
    Nyckelord :Automation; Dataflow; Machine learning; District heating; Automation; Dataflöde; Maskininlärning; Fjärrvärme;

    Sammanfattning : Machine learning algorithms can be used to predict the future demand for heat in buildings. This can be used as a decision basis by district heating plants when deciding an appropriate heat output for the plant. This project is based on an existing machine learning model that uses temperature data and the previous heat demand as input data. LÄS MER

  4. 13. Memory Efficient Semantic Segmentation for Embedded Systems

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Haochen Liu; Erik Olsson; [2019]
    Nyckelord :Neural networks; Semantic segmentation; Pruning; Quantization; Tiling; Memory allocation; DeepLab; MobileNet; Technology and Engineering;

    Sammanfattning : Convolutional neural networks (CNNs) have made rapid progress in the last years and in fields, such as computer vision, they are considered state-of-the-art. However, CNNs are very computationally intensive. This makes them challenging to use in embedded devices such as smartphones, security cameras and cars. LÄS MER

  5. 14. Sort Merge Buckets: Optimizing Repeated Skewed Joins in Dataflow

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

    Författare :Andrea Nardelli; [2019]
    Nyckelord :;

    Sammanfattning : The amount of data being generated and consumed by today’s systems and applications is staggering and increasing at a vertiginous rate. Many businesses and entities rely on the analysis and the insights gained from this data to deliver their service. LÄS MER

  7. 15. Scheduling Strategies for the Calvin IoT Environment

    M1-uppsats, Lunds universitet/Institutionen för reglerteknik

    Författare :Sam Jabbar; [2018]
    Nyckelord :Calvin; Internet of Things; Dataflow programming; distributed application; Actor model; scheduling; Round Robin; Non-preemptive; Technology and Engineering;

    Sammanfattning : The connection of devices to the internet is referred to as Internet of Things (IoT). By using IoT distributed network of devices will be able to communicate with each other. LÄS MER