Fraunhofer Chalmers Research Centre for Industrial Mathematics

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    TUNDRA GARDEN Understanding a changing landscape through architecture

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    Online model based engine calibration using Gaussian process regression

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    Just keep swimming - a renovation proposal for Valhallabadet

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    Sonder - A secular church investigating the role of materiality and tectonics in creating contemplative spaces

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    Matematisk modell för optimal kontroll av läkemedel i ett tumör-immunsystem

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    In this thesis, we consider a mathematical model, in the form of a system of ordinary differential equations (ODEs), which describes the dynamics of a tumor-immune system with chemotherapeutic as well as immunotherapeutic drugs. We develop an optimization method for the solution of a parameter identification problem (PIP) for the system of ODEs, in order to minimize the number of tumor cells as well as the chemotherapeutic and immunotherapeutic drug administration. We formulate the minimization problem for the Tikhonov regularization functional and for an objective functional, which was considered by biomedical researchers in previous publications. To minimize both functionals we use the Lagrangian approach and formulate the optimization algorithm, which involves solution of the adjoint and forward problems. The adjoint and forward problems are solved by using Newtons method, whose accuracy is implemented and tested. The methods for the solution of the problem are also formulated, verified and numerically tested in Matlab. The results give rise to a discussion that verify the accuracy of Newtons method and present it as useful for future work. Additionaly, the results show a need to improve the mathematical model in future work since is shown to be deficient. Furthermore, differences and similarities between the two functionals are discussed to determine which functional is preferable to use in future studies. Finally, epidemiological findings are anaylzed based on our analytical conclusions

    Chassi testbänk för stötdämpare

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    Analog mätning av CAN-signalkvalité över fordonets livscykel

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    Evaluation of Electric Bus Adoption in Sweden - An Interview Study of Four Swedish Cities and a Life-Cycle Cost Estimation

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    BORDERLINE BODIES - Integrating structural geometry within a resilient, architectural framework

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    Residential electricity- and water consumption: A study on actor commitment in consumption reduction

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    Residential housing consumes more than one third of Sweden’s electricity and in order to minimise the reliance on fossil fuels, the real estate industry needs to decrease its consumption. Therefore, the aim of this report is to investigate how residential electricity- and water consumption can be reduced. The report analyses products’ and services’ potential in reducing residential electricity- and water consumption as well as Gothenburg residents’ and housing companies’ commitment in consumption reduction. A regression analysis was performed to identify predicting variables and found that resident surface area, number of occupants and heating type are significant predicting factors for electricity consumption. The effects of individual metering and billing on water consumption was analysed and it was found to be a viable initiative for one of the examined areas but for the other area it was only a solution in the short term. It was also found that housing companies reduce consumption by performing renovations and continuous maintenance on their properties and does not interfere with their residents’ consumption behaviour. Residents do not know how much they consume, and housing companies do generally not provide this information if electricity and water is included in the rent. Residents’ initiatives to lower consumption are consequential but not intended and their aspirations are not realised because of inconvenience. Previous research has highlighted the role of price and income in consumption behaviour. These results show that consumption behaviour is to a greater extent affected by information and feedback systems of consumption data. Furthermore, gamified systems have the opportunity of providing real time data and engaging users in consumption reduction with game mechanics

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