Sökning: "Optimization Modelling 1"
Visar resultat 1 - 5 av 37 uppsatser innehållade orden Optimization Modelling 1.
1. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. LÄS MER
2. Microgrid in George Washington, Cuba
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Cuba has vast natural resources for domestic renewable energy generation, but their energy mix is heavily dominated by fossil fuels. This contributes to a high dependence on expensive oil imports and has led to significant generation shortfalls, which in turn has resulted in extensive power outages and serious fuel crises. LÄS MER
3. Digital Model of a Mining Stacker for Material Tracking : Modelling a Mining Stacker with Forward Kinematics for Material Tracking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Fourth Industrial Revolution is reshaping the manufacturing industry with the emergence of interconnectivity, smart automation, and cyber-physical systems. A popular example of cyber-physical systems is the digital twin or digital model, which both create a virtual (cyber) representation of a system. LÄS MER
4. Estimation of flood risk and cost-effective mitigations : A case study in Tierp
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Climate change is predicted to alter the rainfall patterns in the future, and extreme rain events with large rainfall volumes will become more frequent and intense which increases the flood risk. A clear trend can be seen, where more and more people decide to relocate from rural to urban areas. LÄS MER
5. Deep Neural Networks for Noise Reduction and Bias Removal in MR Diffusion Signal
Master-uppsats,Sammanfattning : The purpose of this study is to assess the potential of deep neural networks, trained by unsupervised learning, for diffusion weighted imaging (DWI) data modeling and denoising. DWI data were modeled by a biexponential model and Rician bias was corrected for. LÄS MER