Sökning: "offline filtering"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden offline filtering.
1. Test Rig Development for Real Time Clamping Force Estimation in Threaded Tightenings with Implemented Extended Kalman Filtering
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The clamping force between the components during bolt tightening is of great interest, and it has been the focus of developing new tightening techniques for a long time. Today there is no easy or practical method to directly measure the clamping force in a typical production situation. LÄS MER
2. Kan underhållsrutiner effektiviseras utifrån oljekvalité?
Uppsats för yrkesexamina på grundnivå, Mittuniversitetet/Institutionen för naturvetenskap, design och hållbar utveckling (2023-)Sammanfattning : En undersökning av vindturbiners hydraulolja med avseende på partikelinnehåll har genomförts. Med syftet att öka tillgängligheten på Statkrafts vindturbiner genom ändrade underhållsrutiner. Målsättningen har varit att minska mängden partiklar och hitta en lösning för förbättrat underhåll rörande hydrauloljan. LÄS MER
3. Real time estimations of kLa and viscosity in a fermentation pilot plant
Master-uppsats, Lunds universitet/Kemiteknik (CI)Sammanfattning : Fermentation is a process that utilizes live microorganisms to produce different biological products such as enzymes. The oxygen mass transfer rate is often the limiting factor in aerobic fermentations and thereby an important process parameter. LÄS MER
4. Contextualizing music recommendations : A collaborative filtering approach using matrix factorization and implicit ratings
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Recommender systems are helpful tools employed abundantly in online applications to help users find what they want. This thesis re-purposes a collaborative filtering recommender built for incorporating social media (hash)tags to be used as a context-aware recommender, using time of day and activity as contextual factors. LÄS MER
5. Collaborative Localization and Mapping with Heterogeneous Depth Sensors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the process in which a robot and other devices navigate in environments by simultaneously building a map of the surroundings and localizing itself within it. SLAM for single agents and specific sensors has matured during these last two decades. LÄS MER