Picture of mobile phone running fintech app

Fintech: Open Access research exploring new frontiers in financial technology

Strathprints makes available Open Access scholarly outputs by the Department of Accounting & Finance at Strathclyde. Particular research specialisms include financial risk management and investment strategies.

The Department also hosts the Centre for Financial Regulation and Innovation (CeFRI), demonstrating research expertise in fintech and capital markets. It also aims to provide a strategic link between academia, policy-makers, regulators and other financial industry participants.

Explore all Strathclyde Open Access research...

A comparative study investigating differing forms of hyperspectral imaging for the polymer identification and isolation of polymers

Muench, Joseph Edward and Wilson, Clive and Urquhart, Andrew and Marshall, Stephen (2011) A comparative study investigating differing forms of hyperspectral imaging for the polymer identification and isolation of polymers. In: Hyperspectral Imaging Conference 2011, 2011-05-17 - 2011-05-18, University of Strathclyde.

Full text not available in this repository. Request a copy from the Strathclyde author

Abstract

Hyperspectral imaging (HSI) is a type of spectroscopic technique enabling the user to obtain images with both spatial and spectral information. The experiments carried out in this paper investigated two HSI systems, a visible light and a near infrared (nIR) system to determine which would best be able to distinguish between samples of interest, in this case synthesised polymers and their starting materials. Principal component analysis (PCA) was used in order to resolve the contribution to the data from different samples. PCA separated out the spectral signals, clearly allowing different polymer signals to be distinguished. The separation was much greater with data collected using the nIR rather than visible light ranges. This study has shown that there are significant differences in the effectiveness of HSI in distinguishing between samples of interest, depending on the HSI wavelength range used.