Computational science and engineering

Mae'r cynnwys hwn ar gael yn Saesneg yn unig.

Computational science and engineering. There are numerous application areas in physics and astronomy. The school has existing expertise in large-scale data analysis of both gravitational wave and astronomical data, particularly for the Herschel satellite. In these areas, there is expertise in performance engineering, particularly in statistical methods for extracting signals from data streams, pattern recognition and machine learning. In this field, there will be future challenges of a much larger scale with the Square Kilometre Array (SKA) will produce Petabytes of data and require the equivalent of 100 million PCs to process it. Additionally, there is expertise in large-scale astronomical simulations: from the formation of stars to the merging of black holes.
These simulations involve large scale high-performance computing and the analysis of the large output data sets.
Many problems in engineering require analysis and reduction of large data sets to facilitate manufacturing, sustainable and climate friendly development, as well as to provide secure manufacturing environments and prevent digital crime. Data forms the backbone of all Digital Manufacturing technologies, which will be the centrepiece of the stratew for advancing Manufacturing in the 21st century. A critical success factor for Industry 4.0 is Big Data analytics.
Only strong predictive analytics softvvare is capable of distinguishing patterns in large data quantities from different sources and is able to activate the appropriate next steps. Intellectual property (IP) crime is costing the UK economy hundreds of millions of pounds each year, with organised crime causing significant damage to industries that produce legitimate, high quality, physical goods and online digital content in an increasingly competitive climate. The Knowledge Engineering Systems (KES) group at Cardiff School of Engineering with the Patents Informatics Group of the Intellectual Property Office (IPO) and the IPO Chief Economist has identified the need to intensify the research on trademarks and patents and extend it to other areas such as protected
designs, 3D printing, and CAD models.
The appendices contain full descriptions of many research areas within these three broad categories where existing research groups in the University want to work 1,Nith the D12.