Browsing TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) by Author "Korostynska, Olga"
Now showing items 1-6 of 6
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Creating a pipeline for functional connectivity analysis in fNIRS motor control studies
Lilleseth, Sindre (ACIT;2022, Master thesis, 2022)Functional near-infrared spectroscopy (fNIRS) has shown to be a useful imaging technique for observing the human cortex. Its capabilities of imaging the hemodynamic variations in the cerebral cortex during different ... -
Does pronation corrective heel wedging reduce the risk of diabetes forefoot ulceration by increasing the microcirculation of the plantar skin tissue?
Mehta, Cèline Natvig (ACIT;2022, Master thesis, 2022)Development of foot ulcers is a known risk in patients with diabetes mellitus, mainly due to atherosclerosis and neuropathy. Though a few national and international guidelines recommend pronation corrective footwear for ... -
Exploratory data analysis of near-infrared spectrum from rats with biodegradable magnesium alloy implant
Mathew, Anna (ACIT;2022, Master thesis, 2022)Biodegradable Magnesium (Mg) based implants were recently developed to replace non-degradable metallic implants. The optical probe can capture variations in vivo from biological tissues using the near-infrared spectrum. ... -
Model predictive controller of phosphorus removal in a wastewater treatment process
Nermo, Einar (Master thesis, 2023)Historically, poor sanitation has always been a concern as it causes diseases such as cholera, intestinal worm infections, polio, typhoid, and dysentery. Sanitation problems are still a pressing issue for many people around ... -
Optimizing Biogas Production and Energy Efficiency in Anaerobic Digestion Process: Development and Evaluation of Control Strategies
Mukhtar, Bilal (Master thesis, 2023)Anaerobic digestion is a biological process utilized for the conversion of organic matter into valuable biogas and nutrient-rich digestate. This renewable energy technology holds great potential in addressing multiple ... -
Prediction of influent composition in wastewater and sludge based on Statistical and Machine Learning models
Mukherjee, Bipasha (Master thesis, 2023)For the optimized operation of a wastewater resource recycle facility (WWRF), it is essential to consider significant disturbances such as fluctuations in the influent flow rate and wastewater compositions. The online ...