A novel technique to quantify the signal-to-noise ratio (SNR) of magnetic resonance images is developed. The image SNR is quantified by estimating the amplitude of the signal spectrum using the autocorrelation function of just one single magnetic resonance image. To test the performance of the quantification, SNR measurement data are fitted to theoretically expected curves. It is shown that the technique can be implemented in a highly efficient way for the magnetic resonance imaging system.

With the escalating figures of tourists arriving to Malaysia, biometric technology plays a vital role to facilitate identity verification by using a self-service automated fingerprint scanner. Inbound tourists were made compulsory to use the biometric technology at Malaysia's immigration port of entry by providing their fingerprint data to be stored in the database located at the Ministry of Home Affairs. The database is linked to the police's existing Biometric Fingerprint Identification System database to grant immigration officers access to the movements of tourists with criminal records. However, the biggest foe of biometric technology is the issue of privacy. There is limited research engaging biometric technology in the tourism industry and this study becomes imperative and important. Based on the unified theory of acceptance and use of technology, this study was to investigate the constructs' effect on tourist satisfaction. Data was collected from 311 inbound tourists at Kuala Lumpur International Airport. They were tested against the research model using structural equation modelling approach. The results indicate that performance expectancy and physical privacy are not significant with regard to tourist satisfaction. We found that effort expectancy, facilitating conditions and informational privacy were all significant constructs that affect tourist satisfaction. These findings provide several important implications for researchers and designers.

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