Sökning: "Sensor Planning"
Visar resultat 1 - 5 av 91 uppsatser innehållade orden Sensor Planning.
1. Age-optimal Trajectory Planning for Multiple-UAVAssisted Data Collectio
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Unmanned Aerial Vehicles (UAVs), or drones, have become a primary tool for data collection due to their rapid and easy mobility, particularly in the current era with a high demand for real-time information updates. To serve this need, optimizing data freshness during information collection is necessary. LÄS MER
2. Teleoperation of an Autonomous Ground-Penetrating Radar for Non-Destructive Surveying: Design and Implementation
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : A lot of features that need to be scanned underground should not be disturbed, from waterlines to unmarked graves. A non-invasive way of probing underground is Ground-Penetrating Radar (GPR). GPR finds differences in materials with radar waves. However, GPR is human-operated and its position is generally determined with a GPS. LÄS MER
3. Optimization of Path and Trajectory for Underground Mining Machines
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. LÄS MER
4. Habitat use and activity patterns of three Eulemur species in the forest and restoration areas of Ranomafana and Ankafobe, Madagascar
Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental StudiesSammanfattning : Anthropogenic deforestation is a major threat to forest environments, as it leads to habitat loss and fragmentation. Many species suffer from these consequences due to reduced resource availability or connectivity. Forests in Madagascar have drastically been reduced in the past few centuries. LÄS MER
5. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. LÄS MER