DDoS attacks are becoming more and more common, and threatens the current infrastructure of the internet. Cheap new IoT devices have led to a lot of new devices that are poorly secured and can easily be compromised and used for such nefarious purposes. While there are many attemps at solving this problem this thesis looks at a solution which could be applied to typical home router. This would stop ...

We suggest a new methodology for designing robust energy systems. For this, we investigate so-called near-optimal solutions to energy system optimisation models; solutions whose objective values deviate only marginally from the optimum. Using a refined method for obtaining explicit geometric descriptions of these near-optimal feasible spaces, we find designs that are as robust as possible to ...

In this article, we first propose the novel semi-analytical technique—modified Adomian decomposition method (MADM)—for a closed-form solution of the nonlinear heat transfer equation of convex profile with singularity where all thermal parameters are functions of temperature. The longitudinal convex fin is subjected to different boiling regimes, which are defined by particular values of n (power ...

This thesis discusses the application of optimizations to machine learning algorithms. In particular, we look at implementing these algorithms on specialized hardware, I.e. a Graphcore Intelligence Processing Unit, while also applying software optimizations that have been shown to improve performance of traditional workloads on general purpose CPUs. We discuss the feasibility of using these techniques ...

With mobile devices managing more and more of our personal data, for many it has become a ubiquitous resource. This is also true in the workplace where they are instituting Bring Your Own Device practices. While this saves the enterprise money in terms of equipment, it also increases the diversity of devices brought to work. This presents security problems as corporate data received and transmitted ...

This paper proposes a novel human-inspired methodology called IRON-MAN (Integrated RatiONal prediction and Motionless ANalysis) for mobile multi-processor systems-on-chips (MPSoCs). The methodology integrates analysis of the previous image frames of the video to represent the analysis of the current frame in order to perform Temporal Motionless Analysis of the Video (TMAV). This is the first work ...

The advent of cloud computing alongside with pervasive form factors such as smart devices, introduces a new meaning to asymmetric system models. These new clients act as a presentational layer alleviating much of the computational and storage concerns to cloud services. The application platforms associated with these creates new opportunities for third party developers to provide domain specific ...

The Norwegian labour market is under continuous change because of fast-paced innovation in technology. It is therefore vital for educational institutions curricula to reflect the changing requirements to keep the population hireable and provide employers with a highly adaptable workforce. There are no complete systems that let us analyse and extract this information about the labour market efficiently. ...

Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation masks. In this paper, we present Kvasir-SEG: an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an experienced ...

Kvik is an open-source system that we developed for explorative analysis of functional genomics data from large epidemiological studies. Creating such studies requires a significant amount of time and resources. It is therefore usual to reuse the data from one study for several research projects. Often each project requires implementing new analysis code, integration with specific knowledge bases, ...