Available Master topics: Communication Systems

MongoDB is a NoSQL database for Big Data applications, also used to provide the input data for Machine Learning and Artificial Intelligence systems.

What we want to find out is whether machine learning can be trained to create an appropriate CAD model from only the Lidar point cloud, or a Lidar point cloud with some images, if it has been trained with CAD reconstructions that have been created by humans using all the methods mentioned above.

In recent years, due to the existence of fast and reliable core networks and the increasing prevalence of cloud infrastructures, more services tend to move from the end users to the cloud servers. Cloud gaming is one of these services which is rapidly growing.

For network optimisation and analysis, network traces are important to capture and store. Such traces can take a lot of storage space, even if only packet headers are captured and saved.

In recent years, due to the existence of fast and reliable core networks and the increasing prevalence of cloud infrastructures, more services tend to move from the end users to the cloud servers. Cloud gaming is one of these services which is rapidly growing.

Machine learning is a popular topic in data science, and there exists many frameworks that can be used for training and inference of these neural networks. However, many of these frameworks are still only optimised for one machine and only the CPU architecture.

In a 2017 paper and three previous Master's theses, we introduced and studied the notion of data delivery deadlines in Less-than-best-effort (LBE) congestion control. The goal of LBE is to try to be as non-intrusive as possible to other network traffic.

The Nvidia Denver 2 CPU architecture can be found on Nvidia's Tegra X2 System-on-Chips. And it is today used in platforms such at the Drive PX2 and Jetson TX2. We want to understand the architecture of the processor and how it compares to other state of the art ARM and x86 CPUs.

Vast amounts of data is being collected to assess the reliability and performance of mobile broadband network and needs to be processed in order to understand the potential causes of failures [1, 2]. We started collecting this data in 2013 and it amounts to over 13 TB in volume.