Sökning: "Sound detection"

Visar resultat 1 - 5 av 96 uppsatser innehållade orden Sound detection.

  1. 1. The Sound of Skepticism Analyzing Climate Change Denial in Swedish Podcasts and YouTube Channels

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Victoria Vallström; [2024-02-14]
    Nyckelord :denialism; climate skepticism; social movements; countermovements; digital media; digital data; computational grounded theory; topic modeling; computational text analysis;

    Sammanfattning : This study explores Sweden's climate change denial by analyzing the spoken-word discourse of its countermovement, focusing on digital media content from Swedish parliament member Elsa Widding with an aim to provide empirical insights into the discourse of Sweden's Climate Change Countermovement (CCCM). Questions guiding this study are: What are the most prevalent topics and themes related to climate change denial and skepticism? How do they align with established categories of climate change denial, shaping the overall narrative? What mobilizing ideas and meanings are present, how are they shaped, and how do they contribute to the movement's goals? The material consists of Elsa Widding's complete audio-based "movement texts'' from 2019-2023, including YouTube content, podcasts, and appearances on Riks, totaling over 2000 minutes of audio transcribed into text via AI technology. LÄS MER

  2. 2. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests

    Master-uppsats, SLU/Dept. of Anatomy, Physiology and Biochemistry

    Författare :Anna Kallings Larsson; [2024]
    Nyckelord :orthopaedic health; objective gait assessment; conformation; linear profiling; movement asymmetry; artificial intelligence; computer vision; Swedish Warmblood;

    Sammanfattning : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. LÄS MER

  3. 3. Solar Panel Protectionfrom Birds and Land Animals

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Författare :Omkar Siddeswar Tenali; Jyothish Chandra Narayana Sri Ranga; [2023]
    Nyckelord :Bird detection; Camera; Raspberry Pi; Speaker; Solar Panel.;

    Sammanfattning : Context: Nowadays, there are many sources to generate electricity, but most of the resources used are not renewable. Among the renewable energies generated, solar power is one of the best. However, solar panels need to be protected from birds and other animals, which can cause damage. LÄS MER

  4. 4. Real-time visual feedback of emotional expression in singing

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

    Författare :Xuehua Fu; [2023]
    Nyckelord :Sound and Music Computing; Music Visualization; Cross-modal Feedback; Mapping; Music Expressivity; Multimodal Interaction; Ljud-och musikberäkning; Musikvisualisering; Korsmodal återkoppling; Kartläggning; Musikexpressivitet; Multimodal interaktion;

    Sammanfattning : The thesis project concerns the development and evaluation of a real-time music visualization system aimed at creating a multi-modal perceptual experience of music emotions. The purpose of the project is to provide singers with real-time visual feedback on their singing, to enhance their expression of emotions in the music. LÄS MER

  5. 5. DRONAR: Obstacle echolocation using ego-noise

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Henrik Nilsson; [2023]
    Nyckelord :Drone; Autonomous systems; Obstacle avoidance; Sound; Noise; Planning; SONAR; Ego-noise; Multi-rotor aerial vehicle; Unmanned areal vehicle; Drönare; Autonoma system; Hinderundvikning; Ljud; Oljud; Planering; SONAR; Egenljud; Multirotorfordon; Obemannat luftfordon;

    Sammanfattning : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. LÄS MER