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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
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
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
