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Personalized Short-Term Blood Glucose Prediction in T1DM

Insulin therapy for tight glycemia regulation in T1DM strongly depends on patients ́ daily decisions about insulin delivery adaptations in relation to: health status, current BG, target BG, insulin sensitivity, diet and foreseen activities. A personalized predictor providing near future BG predictions would support the users in the decision-making tasks while letting them maintaining control over

Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times

Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code

Use of FE-analysis for predicting and verifying the design of an automotive component forming process with special regard to macro geometric defects

This thesis includes four appended papers. The thesis describes the challenges and advantages of the use of FE-analysis in the design of a component forming process in the automotive industry. Today, shortened lead-times in the automotive industry have dramatically increased the need for more efficient development methods in each stage of the process development chain. In order to decrease the lon