The accurate description of the complex thermomechanical behavior of solids requires the efficient treatment of strongly nonlinearly coupled partial differential equations systems.

Moment Invariants are one of the techniques of feature extraction frequently used for shape recognition algorithms. A moment is a projection of function into polynomial basis and Moment Invariant is a moment function retaining invariance to particular class of degradation (e.g. affine transformation, convolution with symmetric kernel, etc.).

The aim of this project is to model optimal dynamic behaviour of a risk-averse European carbon-emitting steel producer, to design and implement an algorithm solving the corresponding multi-stage optimisation problem and apply the model to a real-life steel company. A linear combination of mean profit and conditional value at risk will serve as a decision criterion; decision variables will includ

Rapid development of information and computer technology as well as availability of multiple, very frequently incompatible, informational sources have caused that decision makers (both humans and devices) are overloaded with information. Their imperfectness (i.e.

The key objective of the project is to describe the process and degree of a person’s (driver’s) adaptation to onboard driver assistance systems, particularly in terms of traffic safety, i.e. what positive, or negative, effects such systems may have on traffic safety. The aim is to address the problem from both the individual (i.e. the driver’s) and the social perspective (i.e.