Sökning: "Breakdown"

Visar resultat 6 - 10 av 458 uppsatser innehållade ordet Breakdown.

1. 6. I populismens farvatten - Samtalsanalys av mediepopulism hos journalister i SVT:s partiledarutfrågningar

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

   Författare :Andreas Andersson; Peter Karlberg; Harald Vedin Sjöström; [2023-03-10]
   Nyckelord :Populism; Media populism; News interviews; Neutrality; Journalism;

   Sammanfattning : Abstract Title: I populismens farvatten Authors: Andreas Andersson, Peter Karlberg & Harald Vedin Sjötröm Level: Bachelor’s thesis in journalism Term: HT 2022 Supervisor: Annika Bergström Keywords: Populism, Media populism, News interviews, Neutrality, Journalism Aim of thesis: This thesis seeks to study the occurrence of media populism in Sweden’s television’s (SVT) party leader questionings leading up to the 2022 Swedish parliamentary election. The main question we seek to answer is: Are there elements of a populist interview style in the party leader questionings? Theoretical framework: The main framework used in this thesis is based on Benjamin Moffitt’s (2016) definition of populism as a political style. LÄS MER

3. 7. Omvänd åberopsbörda? En studie om åberopsbördans fördelning i en negativ fastställelsetalan

   Kandidat-uppsats, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

   Författare :Max Bodin; [2023]
   Nyckelord :processrätt; Law and Political Science;

   Sammanfattning : 17 kap. 3§ andra meningen rättegångsbalken (RB) anses innefatta en så kallad åberopsbörda. Beroende på ett rättsfaktums art står en viss part risken för att en omständighet inte åberopats, med följden att omständigheten faller utanför domstolens prövningsram. LÄS MER

4. 8. Tribological characterization of a ball bearing subjected to an electric field : Electric drivetrain tribology

   Master-uppsats, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

   Författare :Muhammad Umar Farooq; [2023]
   Nyckelord :Ball bearing; electric drivetrain; tribology; electric field; characterization; bearing currents; discharge;

   Sammanfattning : Electric machines are widely used in for instance the automotive industry in electric vehicles and in wind turbines. The electrical machines have mechanical bearings as an integral part used to transmit power and load. In addition, the main function includes reducing friction between interacting surfaces. LÄS MER

5. 9. Optimization of alloys recovery in steel scrap sorting : Technological, economic and environmental considerations for a better chromium, nickel and molybdenum recovery in steel scrap

   Master-uppsats, KTH/Materialvetenskap

   Författare :Simone Quintè; [2023]
   Nyckelord :Steel scrap sorting; stainless steel; Chromium; Nickel; Molybdenum; alloys recovery; Laser Induced Breakdown Spectroscopy; revenue modeling; CO2 emissions modeling; Stålskrot Sortering; rostfritt stål; Krom; Nickel; Molybden; återvinning av legeringar; Laserinducerad nedbrytningsspektroskopi; intäktsmodellering; Modellering av CO2-utsläpp;

   Sammanfattning : Today’s steelmaking industry is highly dependent on steel scrap supply. In order to reduce the greenhouse gas emissions (GHGs) deriving from the steel industry, it is of utmost importance to ensure that high percentages of steel scrap are recycled, reducing the reliance on the traditional ore-based steelmaking, which is significantly more environmentally impactful. LÄS MER

7. 10. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

   Författare :Shuo Li; [2023]
   Nyckelord :Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

   Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER