Wai Kuan Yip

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We introduce a novel method for secure computation of biometric hash on dynamic hand signatures using BioPhasor mixing and 2 discretization. The use of BioPhasor as the mixing process provides a one-way transformation that precludes exact recovery of the biometric vector from compromised hashes and stolen tokens. In addition, our user-specific 2(More)
Although the use of biometrics for security access is convenient and easy to be implemented, it also introduced privacy and other security concerns when the original biometric templates are compromised. BioHash was introduced as a form of cancellable or replaceable biometrics through the integration of a set of user-specific random numbers with biometric(More)
OBJECTIVES To assess the tolerability and survival outcome of curative radiotherapy in patients over the age of 85 years. DESIGN, SETTING, AND PARTICIPANTS Retrospective analysis of all patients aged over 85 years who received radiotherapy as part of curative treatment for any cancer (excluding insignificant skin cancers) at the Peter MacCallum Cancer(More)
We propose a novel method of using machine learning algorithm for modeling and selecting important features, and a novel gradient threshold scheme for suggesting sort thresholds for filtering units that are likely to fail at class in a semiconductor manufacturing environment. Using machine learning such as gradient boosting tree enables the sort and class(More)
This paper presents an application of data mining using gradient boosting trees to predict class test yield performance at high volume manufacturing (HVM) based on e-test and sort ancestry parameters. The paper also presents a framework for the predictive capability system and highlights some of the techniques and implementation details. Modeling at wafer(More)