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Many geological deposits contain nonlinear anisotropic features such as veins, channels, folds or local changes in orientation; numerical property modeling must account for these features to be reliable and predictive. This work incorporates locally varying anisotropy into inverse distance...
Implementation and Evaluation of Spatiotemporal Prediction Algorithms and Prediction of Spatially Distributed Greenhouse Gas InventoriesDownload
Growing environmental concerns require monitoring and modelling of greenhouse gases. These modelling efforts require processing of massive datasets in a timely fashion. This, in turn, can lead to feasibility problems when estimating values of missing data points. This thesis examines and compares...
Experimentally-validated nonlinear flight control of a helicopter UAV has two necessary conditions: an estimate of the vehicle’s states from noisy multirate output measurements, and a nonlinear dynamics model with minimum complexity, physically controllable inputs and experimentally identified...
Parabolic partial differential equations (PDEs) are used as models of transport-reaction phenomena in a variety of different industrial chemical and materials engineering processes, and can yield precise descriptions of process variables with complex temporal and spatially dependent system...
Multi-input-multi-output (MIMO) system, due to its large channel capacity and high reliability, has been widely studied in numerous existing work. It has a lot of applications in reality, e.g., 3GPP and LTE standards. These advantages owes to the understanding of the MIMO channel, which shows the...
This thesis focuses on the power allocation during the channel training process for three cooperative relay networks: a one-way single-relay network, a one-way multi-relay network and a two-way single-relay network. For these three networks, under the amplify-and-forward (AF) scheme, we...
Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...