Sökning: "c image"

Visar resultat 1 - 5 av 326 uppsatser innehållade orden c image.

  1. 1. Spelet bakom orden : En kvantitativ analys av könsskillnader i fotbollsintervjuer

    Kandidat-uppsats, Karlstads universitet/Avdelningen för medie- och kommunikationsvetenskap

    Författare :Klara Mörtel; [2024]
    Nyckelord :gender differences; sports journalism; media representation; football interviews; equality.; könsskillnader; sportjournalistik; medierepresentation; fotbollsintervjuer; jämställdhet.;

    Sammanfattning : I denna c-uppsats utforskas den könsrelaterade dynamiken i medierapportering av svensk fotboll. Studien analyserar videointervjuer från Herrallsvenskan och Damallsvenskan för att avslöja eventuella könsskillnader i sportjournalistik och dess inverkan på samhälleliga normer och värderingar. LÄS MER

  3. 2. Exploring Urban Land Cover Changes and the Effect on Nocturnal Air Temperature Dynamics in Helsingborg - A temperature modeling made with TAPM

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Amanda Bäck; [2023-10-09]
    Nyckelord :Nocturnal Air Temperature; Intra-Urban Heat Island; Land Cover Classification; Deep learning; The Air Pollution Model TAPM ; Land Cover Change;

    Sammanfattning : In light of increasing global temperatures, urban areas face growing challenges related to heat stress. Alterations in land cover (LC) within cities contribute to changes in the intra-urban climate, predominantly driven by the replacement of vegetated surfaces with impermeable materials. LÄS MER

  4. 3. Does Brand Personality Beat Sustainability Claims?

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

    Författare :Emilia Gottbrink-Müller; Jennifer Teurnberg; [2023]
    Nyckelord :Consumer preconceptions; Sustainability preconceptions; Brand image; Brand personality; Luxury;

    Sammanfattning : Sustainability has been an inevitable topic globally and its importance is not expected to decline in the near future. Lately, sustainable options have taken a bigger proportion of the market share within the fashion industry. LÄS MER

  5. 4. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

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

    Författare :Anton Lind; [2023]
    Nyckelord :ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

    Sammanfattning : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). LÄS MER

  7. 5. Velocity Obstacle method adapted for Dynamic Window Approach

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

    Författare :Florian Coissac; [2023]
    Nyckelord :Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

    Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER