The Transformer is a sequence-to-sequence (seq2seq) neural network architecture that has proven itself useful for a wide variety of applications. We compare the Transformers performance to several baseline models on a video streaming task to predict transmission times. At the moment the models used for this task are not optimized for seq2seq predictions. To address this we use the Transformer which is tailored to efficiently find long-term ...

JSONiq is a querying language specifically tailored for JSON files, whose key capability is to deal with unorganized and heterogeneous data. However, this benefit comes at a computational cost. The current implementations usually do not have any optimization on homogeneous data. In some cases, these optimization exists but are however limited. As a result, a substantial amount of overhead can be removed when considering homgenous data. ...

This report describes a method for modeling free and forced choice within Co-Design. In a free choice among a set, one has control over which option is selected, while in a forced choice one does not. Given a preorder P describing resources or functionalities, a free choice among a subset of P acts like a meet. Dually, a forced choice acts like a join. Moreover, the two types of choice distribute over one another. Based on this, we construct ...

A good dynamics model has many useful applications such as in simulations and control. Obtaining such models using conventional methods such as wind tunnel testing for UAVs can be time intensive, challenging and time intensive. For this reasons this thesis presents a data-driven dynamics modelling pipeline for a unified flight log(uLog) format. The objective hereby is to provide a framework to obtain a dynamics model without the ...