Sökning: "uncertainty estimation"
Visar resultat 16 - 20 av 234 avhandlingar innehållade orden uncertainty estimation.
16. Real-time Locating Systems for indoor applications : the methodological customization approach
Sammanfattning : Emerging wireless technologies increase the potential and effectiveness of wireless Real-time Locating Systems (RTLSs), which precisely localize the position, and identify things and people in real time. Among many applications, RTLSs are widely used in the industrial sector for indoor logistics and safety applications. LÄS MER
17. On Uncertainty and Data Worth in Decision Analysis for Contaminated Land
Sammanfattning : Contaminated soil and groundwater is a problem that has received increased attention in the last decade. Decision-making about investigation strategies, protective actions, and remedial actions is based on sparse and uncertain information, primarily data of contaminant concentrations and geological information. LÄS MER
18. Exploring the relevance of uncertainty in the life cycle assessment of forest products
Sammanfattning : The role of forest biomass as a replacement for fossil fuels and products is becoming increasingly prominent as a means to mitigate climate change. To guide a sustainable transition towards a forest-based bio-economy, it is important that advantages and disadvantages of forest products are assessed, to ensure that the products deliver environmental impact reduction. LÄS MER
19. Probabilistic time estimation in tunnel projects
Sammanfattning : Transport infrastructure projects, including tunneling, suffer from timedelays and cost overrun. A literature review shows that the effect ofuncertainty has been neglected in explaining time and cost overrunmeaning that technical explanations matter. LÄS MER
20. Robust Water Balance Modeling with Uncertain Discharge and Precipitation Data : Computational Geometry as a New Tool
Sammanfattning : Models are important tools for understanding the hydrological processes that govern water transport in the landscape and for prediction at times and places where no observations are available. The degree of trust placed on models, however, should not exceed the quality of the data they are fed with. LÄS MER