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Visar resultat 1 - 5 av 195 uppsatser som matchar ovanstående sökkriterier.
1. Spårning av konfliktmineraler i fordonstillverkarnas försörjningskedjor
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : Konfliktmineraler är mineraler som utvinns under undermåliga arbetsförhållanden samt bidrar till finansiering av konflikter. Tantal, tenn, volfram (tungsten) och guld (ofta förkortade till 3TG) utgör begreppet konfliktmineraler som idag omfattas av särskild lagstiftning. LÄS MER
2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER
3. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER
4. Barriers and Enablers for Repurposing Vehicle Components in Cross-Sector Collaborations : A Case Study of a Swedish Vehicle Manufacturer
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Sweden's economy is currently heavily dependent on a linear economy model, where raw material ultimately is discarded as waste. The linear approach is unsustainable for manufacturing companies in the long term. LÄS MER
5. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER