Sökning: "Datorteknik"

Visar resultat 21 - 25 av 322 uppsatser innehållade ordet Datorteknik.

  1. 21. Radio Frequency Energy Harvesting In Embankment Dams

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datorteknik

    Författare :William Järvström; Axel Lundberg; [2022]
    Nyckelord :Energy Harvesting; Embankment Dams; Radio Frequency; Wireless Energy Transfer;

    Sammanfattning : Energy harvesting can be used to consume the potential power of the surrounding environment. This harvesting can be done in different ways, some common energy harvesting modalities are vibrations, heat differences, solar power, and RF energy. LÄS MER

  3. 22. Lightweight Real-Time Lossless Software Compression of Trace Data

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Simon Höglund; [2021]
    Nyckelord :;

    Sammanfattning : Powerful System-on-Chip (SoC) produced today has an increasing complexity, featuringmore processors and integrated specialized hardware. This is the case with the EricssonMany-Core Architecture (EMCA) that runs the complex radio modulation standardswithin 3G, 4G and 5G. Such complicated systems require trace data to debug and verifyits behavior. LÄS MER

  4. 23. NoC for Versatile Micro-Code Programmable Multi-Core Processor Targeting Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Mattias Evaldsson; [2021]
    Nyckelord :;

    Sammanfattning : This thesis investigates building a network-on-chip for a multi-core chip computing convolutional neural networks (CNNs) using Imsys processors in a tree architecture. The division of work on a multi-core chip is investigated. LÄS MER

  5. 24. Mitchell-Based Approximate Operations on Floating-Point Numbers

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Noah Hellman; [2021]
    Nyckelord :floating-point numbers; approximations; arithmetics; asic; fpga; mitchell;

    Sammanfattning : By adapting Mitchell's algorithm for floating-point numbers, one can efficiently perform arithmetic floating-point operations in an approximate logarithmic domain in order to perform approximate computations of functions such as multiplication, division, square root and others. This work examines how this algorithm can be improved in terms of accuracy and hardware complexity by applying a set of various methods that are parametrized and offer a large design space. LÄS MER

  7. 25. Increasing Reproducibility Through Provenance, Transparency and Reusability in a Cloud-Native Application for Collaborative Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datorteknik

    Författare :Adam Ekström Hagevall; Carl Wikström; [2021]
    Nyckelord :Machine Learning; MLOps; STACKn; Reproducibility; Replicability; Provenance; Transparency; Reusability; Kubernetes; Cloud-Native; Open Source; Software Engineering;

    Sammanfattning : The purpose of this thesis paper was to develop new features in the cloud-native and open-source machine learning platform STACKn, aiming to strengthen the platform's support for conducting reproducible machine learning experiments through provenance, transparency and reusability. Adhering to the definition of reproducibility as the ability of independent researchers to exactly duplicate scientific results with the same material as in the original experiment, two concepts were explored as alternatives for this specific goal: 1) Increased support for standardized textual documentation of machine learning models and their corresponding datasets; and 2) Increased support for provenance to track the lineage of machine learning models by making code, data and metadata readily available and stored for future reference. LÄS MER