Sökning: "computer"

Visar resultat 1 - 5 av 5617 uppsatser innehållade ordet computer.

  1. 1. Kampen om kommentarsfältet - En kvantitativ innehållsanalys om åsiktsstormar i kommentarsfält på Instagram

    Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

    Författare :Nicklas Magnusson; Felicia Rosander Lilja; [2020-02-03]
    Nyckelord :Kommentarsfält; Instagram; åsiktsstorm; kritikstorm;

    Sammanfattning : Syfte: Syfte med denna studie är att undersöka åsiktsstormar i kommentarsfält på sociala medier som har blivit medialt uppmärksammade.Teori: Computer mediated communication, parasociala relationer, Agenda setting theory och medielogik.Metod: Kvantitativ innehållsanalys. LÄS MER

  2. 2. A Comparison Between FDS and the Multi-Zone Fire Model Regarding Gas Temperature and Visibility in Enclosure Fires

    Kandidat-uppsats, Lunds universitet/Avdelningen för Brandteknik

    Författare :Benjamin Waldeck; [2020]
    Nyckelord :Enclosure fire; FDS; Multi-Zone Fire Model; gas temperature; Visibility; Technology and Engineering;

    Sammanfattning : When designing large buildings with complex geometry there is often a need for performance-based design and the use of computer models. CFD models like FDS that are available and validated for this purpose are typically time consuming and require large amounts of computing power. LÄS MER

  3. 3. Interaction with Smart Assistant

    Magister-uppsats, Malmö universitet/Teknik och samhälle

    Författare :Prakriti Dhang; Manaswini Kolluru; [2020]
    Nyckelord :Smart Assistant; User Experience; Face Recognition; Speech Based Interaction; Human Interaction; Challenges; Internet of Things;

    Sammanfattning : Newer technologies are being developed all the time in order to help us in our daily tasks. Smart Assistant (SA) is one such broad category of devices which, when instructed through speech or command, perform certain tasks. Most SAs have two primary tasks: identify the user, and perform the task communicated by the user. LÄS MER

  4. 4. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Robin Johansson; [2020]
    Nyckelord :;

    Sammanfattning : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. LÄS MER

  5. 5. Visualizing public transport with heat-maps : Comparing the scalability of SVG and Canvas for heat-maps

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och systemvetenskap

    Författare :Jim Eriksson Kuitu; [2020]
    Nyckelord :SVG; Canvas; heat-map; D3.js; scalability; visualisation;

    Sammanfattning : Computer hardware is constantly improving, displays get bigger resolutions and the hardware can handle more data. Consequently, we can display more information with digital visualisation and our software needs to scale well with this increase. LÄS MER