Sökning: "vad är en processor"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden vad är en processor.

  1. 1. Phase Transitions in the Two-Higgs-Doublet Model with a Softly-Broken Z2 Symmetry

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation

    Författare :Filip Gustavsson; [2023]
    Nyckelord :Particle Physics; Beyond Standard Model; Two-Higgs Doublet Model; 2HDM; Electroweak Phase Transitions; Strong First-order Phase Transition; Dimensional Reduction; CP-conserving; Softly broken Z2-symmetry; Physics and Astronomy;

    Sammanfattning : The two-Higgs-doublet model (2HDM) is an extension to the Standard Model which adds a second Higgs doublet. This extension provides freedom within the model, in comparison to the Standard Model, which makes it possible to study strong electroweak phase transitions. LÄS MER

  3. 2. Evaluating Erlang database structures for building statistics in telecommunications : Comparing non-relational and relational databases in Mnesia

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

    Författare :Anton Ptitsin; Lou Jönsson; [2021]
    Nyckelord :Erlang; Mnesia; Data processing; Database models; Statistics; Erlang; Mnesia; Databearbetning; Databasmodeller; Statistik;

    Sammanfattning : Mobile subscriptions are steadily increasing, making it more relevant to collect data and make useful statistics. To handle these large data sets, robust databases must be built. Two important factors for databases are storing the information persistently and having an adequate read and write speed to the database. LÄS MER

  4. 3. Object Detection with Real-Time Context Adaptation

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

    Författare :Arvind Hariraman; [2021]
    Nyckelord :;

    Sammanfattning : Visual object detection based on Convolutional Neural Networks (CNNs) isquickly becoming an essential component of many Augmented Reality (AR) applications.Despite of the impressive performance, these state-of-the-art systemshave one obvious weakness: they do not have capability to learn at run-time,from the visual appearance of the target object in a particular test video. LÄS MER

  5. 4. Electricity Consumption of a Distributed Consensus Algorithm

    Kandidat-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Wilhelm Wanecek; [2021]
    Nyckelord :Energy efficiency; Payment systems; Stellar; Consensus algorithm; Digital currencies; Technology and Engineering;

    Sammanfattning : The colossal electricity consumption of proof-of-work cryptocurrencies such as Bitcoin and Ethereum has caused critical examination of how consensus in blockchain-solutions is designed. Stellar is a decentralized, open-membership payment network built on blockchain technology, with the goal of enabling money to flow between banks, businesses and people across the global financial infrastructure, while minimizing latency and transaction fees. LÄS MER

  7. 5. Acceleration of Machine-Learning Pipeline Using Parallel Computing

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Xavante Erickson; [2021]
    Nyckelord :acceleration; ray; accelerator; numpy; machine-learning; machine; learning; optimization; parallelization; speedup; profiling;

    Sammanfattning : Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. LÄS MER