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A Revocable Fingerprint Template for Security and Privacy Preserving
( Zhe Jin ),( Andrew Beng Jin Teoh ),( Thian Song Ong ),( Connie Tee ) 한국인터넷정보학회 2010 KSII Transactions on Internet and Information Syst Vol.4 No.6
With the wide deployment of biometric authentication systems, several issues pertaining security and privacy of the biometric template have gained great attention from the research community. To resolve these issues, a number of biometric template protection methods have been proposed. However, the design of a template protection method to satisfy four criteria, namely diversity, revocability and non-invertibility is still a challenging task, especially performance degradation when template protection method is employed. In this paper, we propose a novel method to generate a revocable minutiae-based fingerprint template. The proposed method consists of feature extraction from fingerprint minutiae pairs, quantization, histogram binning, binarization and eventually binary bit-string generation. The contributions of our method are two fold: alignment-free and good performance. Various experiments on FVC2004 DB1 demonstrated the effectiveness of the proposed methods.
Jin Chuan Wu,Philip Ho,Tee Yuan Poh,Yvonne Chow,MMR Talukder,Won Jae Choi 한국화학공학회 2007 Korean Journal of Chemical Engineering Vol.24 No.4
immobilized Candida antarctica lipase, a commercially available and one of the most commonly usedenzymes, showed significantly improved enantioselectivity (twice) when used in a very acidic environment (pH 1.0)than in the normal pH 7.0 for the hydrolysis of ketoprofen ethyl ester at 45oC. The enzyme was still 60% active atpH 1.0 compared to the activity at pH 7.0 and its stabilities at the two pH values were almost the same. The improvedenantioselectivity was ascribed to the conformational change of the enzyme in the very acidic environment.
Multi-view gait recognition using a doubly-kernel approach on the Grassmann manifold
Connie, Tee,Goh, Kah Ong Michael,Teoh, Andrew Beng Jin Elsevier 2016 Neurocomputing Vol.216 No.-
<P><B>Abstract</B></P> <P>View variation is one of the greatest challenges faced by the gait recognition research community. Recently, there are studies that model sets of gait features from multiple views as linear subspaces, which are known to form a special manifold called the Grassmann manifold. Conjecturing that modeling via linear subspace representation is not completely sufficient for gait recognition across view change, we take a step forward to consider non-linear subspace representation. A collection of multi-view gait features encapsulated in the form of a linear subspace is projected to the non-linear subspace through the expansion coefficients induced by kernel principal component analysis. Since subspace representation is inherently non-Euclidean, naïve vectorization as input to the vector-based pattern analysis machines is expected to yield suboptimal accuracy performance. We deal with this difficulty by embedding the manifold in a Reproducing Kernel Hilbert Space (RKHS) through a positive definite kernel function defined on the Grassmann manifold. A closer examination reveals that the proposed approach can actually be interpreted as a doubly-kernel method. To be specific, the first kernel maps the linear subspace representation non-linearly to a feature space; while the second kernel permits the application of kernelization-enabled machines established for vector-based data on the manifold-valued multi-view gait features. Experiments on the CASIA gait database shows that the proposed doubly-kernel method is effective against view change in gait recognition.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A Grassmann doubly-kernel approach is presented for multi-view gait recognition. </LI> <LI> A collection of multi-view gait samples are represented as linear subspaces. </LI> <LI> Non-linear variant of original subspaces are constructed via basis induced by KPCA. </LI> <LI> Kernelized Grassmann kernels are introduced for application of vector-based method. </LI> <LI> Experiments show promising results for gait recognition with vast view difference. </LI> </UL> </P>
난소에서 발생한 Malignant struma ovarii 2 예
김은진(Eun Jin Kim),한치동(Chi Dong Han),허창규(Chang Kyu Huh),윤길숙(Ghil Suk Yoon),고석봉(Suk Bong Koh),이태성(Tee Sung Lee) 대한산부인과학회 2001 Obstetrics & Gynecology Science Vol.44 No.12
N/A Struma ovarii consists of thyroid tissue which is derived from germ cells in a mature teratoma. Five percent of struma ovarii are malignant, and of these only five percent metastasize. The rarity of this disease has resulted in difficulty in agreeing on treatment regimens and in limited imaging and monitoring difficulties encountered in their management. We have experienced two cases of malignant struma ovarii with brief review of the literature.