• Korean Journal of Community Nutrition
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• v.12 no.4
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• pp.396-404
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• 2007

Increased oxidative stress contributes to the progression of atherosclerosis. We measured serum antioxidant mineral concentrations, capacities of serum antioxidant enzymes and fasting lipid profile in 97 male patients with coronary artery disease (CAD) and 21 male controls. Nutrient intake was assessed by the semi-quantitative food frequency method. CAD patients were divided into single-vessel disease (SVD, n=66) and multi-vessel disease (MVD, n = 31) groups on the coronary angiography. The ratio of serum LDL- to HDL-cholesterol elevated with an increasing number of diseased vessels compared to the control (control < SVD < MVD, p < 0.05). Patients with SVD and MVD had higher levels of serum lipoprotein (a) than the control (p < 0.05). The mean intake of carbohydrate, protein and cholesterol was higher in MVD patients and the intakes of vitamins C and E were lower in MVD and SVD patients than in the control (p < 0.05). Serum copper (Cu) and zinc (Zn) levels were higher in MVD and SVD patients than in the control (Cu: control $75.8{\pm}5.07$, SVD $99.2{\pm}2.90$, MVD $100.1{\pm}2.32{\mu}g/dL$, p<0.01; Zn: $76.8{\pm}5.36$, $119.0{\pm}5.95$, $129.1{\pm}2.70{\mu}g/dL$, p < 0.01). And the ratio of Zn to Cu was higher in SVD and MVD patients than in the control (control $0.78{\pm}0.06$, SVD $0.88{\pm}0.05$, MVD $0.99{\pm}0.04$, P < 0.05). The activity of glutathione peroxidase (GSH-Px) was lower in MVD than in SVD and the control (control $35.13{\pm}1.34$, SVD $35.30{\pm}1.01$, MVD $31.00{\pm}1.04 U/mg$ protein, p < 0.05). The ratio of the activities of superoxide dismutase (SOD) to GSH-Px was higher in MVD than in control and SVD (p < 0.05). In groups with CAD, serum Cu and Zn concentrations and their ratio were changed compared to the control. GSH-Px activity was decreased and the ratio of SOD to GSH-Px was increased in the patients with MVD. The balances between the activities of SOD and GSH-Px should also be considered a risk factor in CAD patients.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.82-84
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• 2016

We propose a new reliable SVD-based watermarking scheme having high fidelity and strong robustness with no false-positive problem. Each column of the principal component of a watermark image is embedded into singular values of LL, LH, HL and HH sub-bands of cover image with different scale factors. Each scale factor is optimized by trading-off fidelity and robustness using Differential Evolution (DE) algorithm. The proposed scheme improves fidelity and robustness of existing reliable SVD based watermarking schemes without any false-positive problem. Index Terms - watermarking, reliable SVD, DWT, principal component, Differential Evolution.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.82-86
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• 2006

The design of a pattern recognition system generally involves the three aspects: preprocessing, feature extraction, and decision making. Among them, a feature extraction method determines an appropriate subspace of dimensionality in the original feature space of dimensionality so that it can reduce the complexity of the system and help to improve successful recognition rates. Linear transforms, such as principal component analysis, factor analysis, and linear discriminant analysis have been widely used in pattern recognition for feature extraction. This paper shows that singular value decomposition (SVD) can be applied usefully in feature extraction stage of pattern recognition. As an application, a remote sensing problem is applied to verify the usefulness of SVD. The experimental result indicates that the feature extraction using SVD can improve the recognition rate about 25% compared with that of PCA.

• ETRI Journal
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• v.29 no.2
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• pp.237-239
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• 2007

Interference from IEEE 802.11a systems affects ultra-wideband (UWB) systems significantly. In this letter, we suggest a novel narrow-band interference (NBI) suppression technique based on the singular value decomposition (SVD) algorithm in time-hopping pulse amplitude modulation (TH-PAM) UWB systems. The SVD algorithm is used to approximate the interference which then is subtracted from the received signals. In contrast to the conventional notch filter and rake receiver, our method is more effective and the receiver complexity can be greatly reduced.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.5
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• pp.39-49
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• 2015

Some characters and construction theorems of Pseudo Jacket Matrix which is generalized from Jacket Matrix introduced by Jacket Matrices: Construction and Its Application for Fast Cooperative Wireless signal Processing[27] was announced. In this paper, we proposed some examples of Pseudo inverse Jacket matrix, such as $2{\times}4$, $3{\times}6$ non-square matrix for the MIMO channel. Furthermore we derived MIMO singular value decomposition (SVD) pseudo inverse channel and developed application to utilize SVD based on channel estimation of partitioned antenna arrays. This can be also used in MIMO channel and eigen value decomposition (EVD).

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.377-378
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• 2006

The proposed method measures the correlation maps of SVD that are used to interpret data relations and structures between the original image and the distorted image. It seems that the SVD results can be used to assist us in gaining information about covariance structure of two images. This method is able to work in the complete absence of any digital watermark or signature. The effectiveness of this method is seen through testing the robustness against JPEG compression.

• Journal of Broadcast Engineering
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• v.13 no.3
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• pp.289-298
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• 2008

We propose an SNR-scalable coding algorithm for three-dimensional mesh sequences based on singular value decomposition (SVD). SVD achieves a coding gain by representing a mesh sequence with a small number of basis vectors and singular values. First, we introduce a bit plane coding scheme and derive a quantitative relationship between each bit plane and the reconstructed image quality. Using the relationship, we develop a rate-distortion (RD) optimized coding algorithm. Moreover, we propose prediction techniques to exploit the spatio-temporal correlations in real mesh sequences. Simulation results demonstrate that the proposed algorithm provides significantly better RD performance than conventional SVD coders.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.1-18
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• 2016

Collaborative Filtering (CF) predicts the focal user's preference for particular item based on user's preference rating data and recommends items for the similar users by using them. It is a popular technique for the personalization in e-commerce to reduce information overload. However, it has some limitations including sparsity and scalability problems. In this paper, we use a method to integrate social network information into collaborative filtering in order to mitigate the sparsity and scalability problems which are major limitations of typical collaborative filtering and reflect the user's qualitative and emotional information in recommendation process. In this paper, we use a novel recommendation algorithm which is integrated with collaborative filtering by using Social SVD++ algorithm which considers social network information in SVD++, an extension algorithm that can reflect implicit information in singular value decomposition (SVD). In particular, this study will evaluate the performance of the model by reflecting the real-world user's social network information in the recommendation process.

• International Journal of Control, Automation, and Systems
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• v.5 no.5
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• pp.508-514
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• 2007

Properties and potential applications of the block pulse response circulant matrix (PRCM) and its singular value decomposition (SVD) are investigated in relation to MIMO control and identification. The SVD of the PRCM is found to provide complete directional as well as frequency decomposition of a MIMO system in a real matrix form. Three examples were considered: design of MIMO FIR controller, design of robust reduced-order model predictive controller, and input design for MIMO identification. The examples manifested the effectiveness and usefulness of the PRCM in the design of MIMO control and identification. irculant matrix, SVD, MIMO control, identification.

• Journal of Navigation and Port Research
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• v.38 no.2
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• pp.89-96
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• 2014

This paper presents an improvement for calculating method of astronomical ship position based on circle of equal altitude equation. In addition, to enhance the accuracy of ship position achieved from solving equation system, the authors used singular value decomposition (SVD) in least square method instead of normal decomposition. In maths, the SVD was proved more numerically stable than normal decomposition. Therefore, the solution of equation system will be more efficient and the result would be more accurate than previous methods. By proposal algorithm, a computer program have been developed to help the navigators in calculating directly ship position when the modern equipment has failure. Finally, some of experiments are carried out to verify effectiveness of proposed algorithm, the results show that the accuracy of ship position based on new method is better than the intercept method.