Abstract: The present invention is a method for determining during run-time an adaptation to a software architecture comprising a plurality of components. The method includes the steps of—evaluating constraints for the adaptation relating to a functional dependence of components of the software architecture,—determining during run-time a context for the software architecture taking into account information on the state of the architecture,—selecting among a plurality of context models a context model corresponding to the determined context,—evaluating constraints for the adaptation imposed by the selected context model,—taking a decision on performing the adaptation based on the outcome of the evaluation steps.

Abstract: Methods of cylindrical surface parameterization, such as colon flattening are provided for parameterizing tubular surfaces onto a cylinder, wherein the length of the cylinder is modified so that parameterization distortion is reduced.

Abstract: A method for correcting a relaxation map of an object scanned with a magnetic resonance imaging modality the object having a plurality of structure and/or tissue types. The method includes deriving a first relaxation map of a scanned object from at least two three-dimensional scans of the object acquired using a sequence of ultrashort echo time pulses adapted for distinguishing between the various types of a plurality of structure and/or tissue types of the object. Information is obtained on the type of structure and/or tissue type present in voxels in the first relaxation map and binarizing the obtained information. A corrected relaxation map is generated by combining the binarized information with the first relaxation map.

Abstract: A method and system for configuring at least one video codec at run-time are disclosed. A major limitation for wireless video communication on portable devices is the limited energy budget. In one aspect, the disclosed method and system minimize the energy cost of the two main energy consumers in such a wireless video device, i.e., the energy for video encoding and wireless communication tasks, via a cross-layer approach that explores the trade-off between coding and communication energies.