• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1162-1164
• /
• 1997

This paper presents a power system stabilizer(PSS) using sliding mode-model following(SM-MF) including closed-loop f:edback(CLF) and compares the SM-MF PSS without CLF with that including CLF. The aim of this SM-MF PSS including CLF is to damp the low-frequency oscillation by using CLF and then is to obtain asymptotic tracking error between the reference model state and the plant state.

• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1165-1167
• /
• 1997

In this paper, the continuous sliding mode-model following(SM-MF) power system stabilizer(PSS) including closed-loop feedback(CLF) is extended to discrete-time sliding mode-model following(DSM-MF) PSS including CLF.

• Journal of Electrical Engineering and information Science
• /
• v.2 no.4
• /
• pp.53-58
• /
• 1997

In this paper, the power system stabilizer(PSS) using the sliding mode observer-model following(SMO-MF) with closed-loop feedback (CLF) for single machine system is extended to multimachine system. This a multimachine SMO-MF PSS for unmeasureable plant state variable is obtained by combining the sliding mode-model following(SM-MF) including closed-loop feedback(CLF) with the full-order observer(FOO). And the estimated control input for unmeasurable plant sate variables is derived by Lyapunov's second method to determine a control input that keeps the system stable. Time domain simulation results for the torque angle and for the angular velocity show that the proposed multimachine SMO-MF PSS including CLF for unmeasurable plant sate variables is able to damp out the low frequency oscillation and to achieve asymptotic tracking error between the reference model state at different initial conditions and at step input.

• Journal of Nutrition and Health
• /
• v.31 no.6
• /
• pp.1024-1030
• /
• 1998

We investigated the effects of vitamin E supplementation on protein glycosylation in early and end stage product, and light microscopic studies were done on the renal glomeruli of KK-mice of various ages and various duration of diabetes. Weaned KK-mice were fed high fat diets containing 20% corn oil(wt/wt), and sacrificed at 4,6, and 9 months of age. The high vitamin E diet was a high fit diet supplemented with an excess amount of d1-$\alpha$-tocopheryl acetate (2080IU/kg diet). We measured Hemoglobin $A_{IC}$ (Hb $A_{IC}$) as a glycosylation early product, and renal collagen-linked fluorescence as a glycosylation end product. In the diabetic group, levels of Hb $A_{IC}$ were increased within 2 months after onset of diabetes and remained at a constant level for the duration of experiment. 5 months after onset of diabetes, renal collagen linked fluorescence(CLF) was markedly increased. A quantative, morphologically demonstratable, progressive thickening of the basement membrane and calcification occured in the diabetic KK-mice. There is a statiscally positive correlation between CLF and histologic grade of diabetic nephropathy. Hepatic vitamin E levels correlated with those of Hb $A_{IC}$, renal CLF, and renal calcification. Treatment with vitamin I did not modify the level of blood glucose. However, we observered a significant lowering of CLF and Hb $A_{IC}$ in diabetic mice. Supplementation of vitamin E was found to delay the progression of diabetic nephropathy. (forean J Nutrition 31(6) : 1024-1030, 1998)0, 1998)

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.3
• /
• pp.670-684
• /
• 2024

3D Cross-Modal Retrieval (3DCMR) is a task that retrieves 3D objects regardless of modalities, such as images, meshes, and point clouds. One of the most prominent methods used for 3DCMR is the Cross-Modal Center Loss Function (CLF) which applies the conventional center loss strategy for 3D cross-modal search and retrieval. Since CLF is based on center loss, the center features in CLF are also susceptible to subtle changes in hyperparameters and external inferences. For instance, performance degradation is observed when the batch size is too small. Furthermore, the Mean Squared Error (MSE) used in CLF is unable to adapt to changes in batch size and is vulnerable to data variations that occur during actual inference due to the use of simple Euclidean distance between multi-modal features. To address the problems that arise from small batch training, we propose a Noisy Center Loss (NCL) method to estimate the optimal center features. In addition, we apply the simple Siamese representation learning method (SimSiam) during optimal center feature estimation to compare projected features, making the proposed method robust to changes in batch size and variations in data. As a result, the proposed approach demonstrates improved performance in ModelNet40 dataset compared to the conventional methods.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.26 no.5
• /
• pp.914-919
• /
• 1997

We investigated the effects of vitamin E supplementation on the protein glycosylation in vivo. Weaned KK-mice were fed high fat diet containing 20% corn oil(wt/wt), and sacrificed at 4, 6, and 0 months of age. High vitamin E diet was the high fat diet supplemented with an excess amount of 이-$\alpha$-tocopheryl acetate(2080IU/kg diet). We measured $HbA_{1C}$ as a glycosylation early product, and collagen-linked fluorescence (CLF) of skin as a glycosylation and product. We found that diabetic group had increased levels of $HbA_{1C}$ within 2 months after onset of diabetes and during the experiments. The skin CLF increased dramatically 5 months after onset of diabetics. Treatment with vitamin E did not modify the level of blood glucose. However, we observed a significant lowering in CLF and $HbA_{1C}$ in diabetic mice.

• Journal of Electrical Engineering and information Science
• /
• v.2 no.3
• /
• pp.88-94
• /
• 1997

This paper presents the sliding mode observer-model following (SMO-MF) power system stabilizer(PSS) for unmeasurable state variables. This SMO-MF PSS is obtained by combining the sliding mode-model following (SM-MF) including closed-loop feedback(CLF) with the full-order observer(FOO). The control input of the proposed MO-MF PSS is derived by Lyapunov's second method to determine a control input that keeps the system stable for unmeasurable plant state variables. Simulation results show that the proposed SMO-MF PSS including CLF is able to reduce the low frequency oscillation and to achieve asymptotic tracking error between the reference mode state and the estimated plant state at different initial conditions.

• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1168-1170
• /
• 1997

In this paper, the sliding mode-model following(SM-MF) power system stabilizer(PSS) including closed-loop feedback(CLF) for single machine system is extended to multimachine system. Simulation results show that the SM-MF multimachine stabilizer is able to achieve asymptotic tracking error between the reference model state and the controlled plant state at different initial conditions.

• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1171-1173
• /
• 1997

This paper presents the sliding mode observer-model following(SMO-MF) power system stabilizer(PSS) for unmeasurable plant state variables. This SMO-MF PSS can be obtained by combining the sliding mode-model following(SM-MF) including closed-loop feedback(CLF) with the linear foil-order observer(LFOO).

• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1174-1176
• /
• 1997

In this paper, the power system stabilizer(PSS) using the sliding mode observer-model following(SMO-MF) including closed-loop feedback(CLF) for single machine system is extended to multimachine system.