• Journal of Ginseng Research
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• v.22 no.3
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• pp.188-192
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• 1998

We established the model of clonogenic assay with human tumor cell line such as Calu-3 (lung carcinoma), HEC- lB (endometrial adenocarcinoma) , HEp-2 (larnyx carcinoma), Hs-5787 (breast carcinoma), K-562 (chronic myelogenous leukemia), SF-188 (brain carcinoma), SNU-1 (stomach carcinoma) and WiDr (colon carcinoma) . We investigated growth inhibition of solvent (EtOH, MeOH) and water (100$^{\circ}C$, 121$^{\circ}C$) extracts from Korean red ginseng by clonogenic assay. The results of clonogenic assay showed that EtOH extract had growth inhibition against Calu-3, SF-188 and SNU-1, MeOH extract had growth inhibition against Calu-3, Hs-5787, K-562, and WiDr, but water extract at 100$^{\circ}C$ and water extract at 121$^{\circ}C$ had not growth inhibition against used cell lines.

• Smart Structures and Systems
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• v.15 no.3
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• pp.913-929
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• 2015

Hybrid simulation is increasingly being recognized as a powerful technique for laboratory testing. It offers the opportunity for global system evaluation of civil infrastructure systems subject to extreme dynamic loading, often with a significant reduction in time and cost. In this approach, a reference structure/system is partitioned into two or more substructures. The portion of the structural system designated as 'physical' or 'experimental' is tested in the laboratory, while other portions are replaced with a computational model. Many researchers have quite effectively used hybrid simulation (HS) and real-time hybrid simulation (RTHS) methods for examination and verification of existing and new design concepts and proposed structural systems or devices. This paper provides a detailed perspective of the enabling role that HS and RTHS methods have played in advancing the practice of earthquake engineering. Herein, our focus is on investigations related to earthquake engineering, those with CURATED data available in their entirety in the NEES Data Repository.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.559-562
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• 2024

자연어 기반의 분류모델을 개발할 때 높은 성능을 획득하기 위해서는 데이터의 품질이 중요한 요소이다. 특히 무역상품 국제 분류체계 HS-CODE에서 상품명을 기반으로 HS코드를 분류할 때, 라벨링 된 데이터의 품질에 의해서 분류모델의 성능이 좌우된다. 하지만 현실적으로 확보 가능한 데이터셋에는 데이터 라벨링 오류나 데이터로 활용하기에 특징점이 부족한 데이터들이 다수 존재하기도 한다. 본 연구에서는 분류모델 학습 데이터의 정제 방법론으로, 딥러닝 기반 노이즈 검출 알고리즘을 제안한다. 분류 대상의 특징점이 분류 경계값 주변에 존재한다면 분류하기 모호한 노이즈 데이터일 가능성이 높다고 가정하고, 해당 노이즈 데이터를 검출하는 방법으로 딥러닝 기술을 활용한다. 해당 경계값 노이즈 검출 알고리즘으로 데이터를 정제한 뒤 학습모델의 성능비교 결과, 기존 대비 우수한 분류 정확도를 기록하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.395-400
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• 2011

In this paper, we propose an study of the facial emotion recognition considering the dynamical variation of emotional state in facial image sequences. The proposed system consists of two main step: facial image based emotional feature extraction and emotional state classification/recognition. At first, we propose a method for extracting and analyzing the emotional feature region using a combination of Active Shape Model (ASM) and Facial Action Units (FAUs). And then, it is proposed that emotional state classification and recognition method based on Hidden Markov Model (HMM) type of dynamic Bayesian network. Also, we adopt a Harmony Search (HS) algorithm based heuristic optimization procedure in a parameter learning of HMM in order to classify the emotional state more accurately. By using all these methods, we construct the emotion recognition system based on variations of the dynamic facial image sequence and make an attempt at improvement of the recognition performance.

• Membrane and Water Treatment
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• v.9 no.3
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• pp.155-162
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• 2018

Process modeling with activated sludge models (ASMs) is useful for the design and operational improvement of biological nutrient removal (BNR) processes. Effective utilization of ASMs requires the influent fraction analysis (IFA) of the wastewater treatment plant (WWTP). However, this is difficult due to the time and cost involved in the design and operation steps, thereby declining the simulation reliability. Harmony Search (HS) algorithm was utilized herein to determine the relationships between composite variables and state variables of the model IWA ASM1. Influent fraction analysis was used in estimating fractions of the state variables of the WWTP influent and its application to 9 wastewater treatment processes in South Korea. The results of influent $S_s$ and $Xs+X_{BH}$, which are the most sensitive variables for design of activated sludge process, are estimated within the error ranges of 8.9-14.2% and 3.8-6.4%, respectively. Utilizing the chemical oxygen demand (COD) fraction analysis for influent wastewater, it was possible to predict the concentrations of treated organic matter and nitrogen in 9 full scale BNR processes with high accuracy. In addition, the results of daily influent fraction analysis (D-IFA) method were superior to those of the constant influent fraction analysis (C-IFA) method.

• Journal of Korean Association for Spatial Structures
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• v.15 no.2
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• pp.87-94
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• 2015

This paper aimed at modeling a fine triangular grid for network dome by using Harmony Search (HS) algorithm. For this purpose, an optimization process to find a fine regular triangular mesh on the curved surface was proposed and the analysis program was developed. An objective function was consist of areas and edge's length of each triangular and its standard deviations, and design variables were subject to the upper and lower boundary which was calculated on the nodal connectivity. Triangular network dome model, which was initially consist of randomly irregular triangular mesh, was selected for the target example and the numerical result was analyzed in accordance with the HS parameters. From the analysis results of adopted model, the fitness function has been converged and the optimized triangular grid could be obtained from the initially distorted network dome example.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.40 no.4
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• pp.321-330
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• 2014

Ultraviolet B (UVB) is a primary environmental factor that induces adverse effects on skin such as photoaging, skin burn and cancer. UVB also increases the expression of $11{\beta}$-hydroxysteroid dehydrogenase type 1 ($11{\beta}-HSD1$), which converts inactive cortisone to active cortisol in response to a variety of stressors in target tissues. Thus, we have screened new herbal extracts that suppress $11{\beta}-HSD1$ expression induced by UVB in human dermal fibroblasts. We also investigated whether Trapa japonica (TJ) extract and its fractions inhibit UVB-induced photoaging in Hs68 cells and 3D skin model. Results showed that TJ extract inhibited the increase of $11{\beta}-HSD1$ expression in UVB-exposed Hs68 cells significantly. TJ extract and its fractions not only inhibited $11{\beta}-HSD1$ expression, but also suppressed the increase of matrix metalloproteinases (MMP-1, 3, 9) and proinflammatory cytokines (IL-6, 8) in UVB-irritated Hs68 cells. TJ extract also inhibited MMP-1 expression in UVB-irritated 3D skin model. In addition, TJ extract recovered UVB-induced decreases of epidermal thickness and PCNA-positive cells in 3D skin model. Taken together, these results suggest that TJ extract and its fractions inhibit UVB-induced skin photoaging by interfering with $11{\beta}-HSD1$ and MMPs.

• Geomechanics and Engineering
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• v.20 no.1
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• pp.75-86
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• 2020

This study aims to simulate the stabilization process of fibrous peat samples using end-bearing Cement Deep Mixing (CDM) columns by three area improvement ratios of 13.1% (TS-2), 19.6% (TS-3) and 26.2% (TS-3). It also focuses on the determination of approximate stress distribution between CDM columns and untreated fibrous peat soil. First, fibrous peat samples were mechanically stabilized using CDM columns of different area improvement ratio. Further, the ultimate bearing capacity of a rectangular foundation rested on the stabilized peat was calculated in stress-controlled condition. Then, this process was simulated via a FEM-based model using Plaxis 3-D foundation and the numerical modelling results were compared with experimental findings. In the numerical modelling stage, the behaviour of fibrous peat was simulated based on hardening soil (HS) model and Mohr-Coulomb (MC) model, while embedded pile element was utilized for CDM columns. The results indicated that in case of untreated peat HS model could predict the behaviour of fibrous peat better than MC model. The comparison between experimental and numerical investigations showed that the stress distribution between soil (S) and CDM columns (C) were 81%C-19%S (TS-2), 83%C-17%S (TS-3) and 89%C-11%S (TS-4), respectively. This implies that when the area improvement ratio is increased, the share of the CDM columns from final load was increased. Finally, the calculated bearing capacity factors were compared with results on the account of empirical design methods.

• Journal of Korean Society of Transportation
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• v.30 no.5
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• pp.71-82
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• 2012

Some previous studies adopted a method statistically based on the observed traffic volumes and travel times to estimate the parameters. Others tried to find an optimal set of parameters to minimize the gap between the observed and estimated traffic volumes using, for instance, a combined optimization model with a traffic assignment model. The latter is frequently used in a large-scale network that has a capability to find a set of optimal parameter values, but its appropriateness has never been demonstrated. Thus, we developed a methodology to estimate a set of parameter values of BPR(Bureau of Public Road) function using Harmony Search (HS) method. HS was developed in early 2000, and is a global search method proven to be superior to other global search methods (e.g. Genetic Algorithm or Tabu search). However, it has rarely been adopted in transportation research arena yet. The HS based transportation network calibration algorithm developed in this study is tested using a grid network, and its outcomes are compared to those from incremental method (Incre) and Golden Section (GS) method. It is found that the HS algorithm outperforms Incre and GS for copying the given observed link traffic counts, and it is also pointed out that the popular optimal network calibration techniques based on an objective function of traffic volume replication are lacking the capability to find appropriate free flow travel speed and ${\alpha}$ value.

• Journal of Ocean Engineering and Technology
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• v.30 no.6
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• pp.498-504
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• 2016

In this study, to predict the effect of beach nourishment at Haeundae Beach, the waves and wave-induced currents were compared before and after beach nourishment using the XBEACH model. Representative wave conditions were determined for the data observed during 2014 (KHOA). Then, the Hs,max and Hs,1/10 values, and their prevalent directions, were used in the numerical modeling input data. A variable grid system was used for the $5km{\times}2.5km$ model areas, and irregular waves based on the JONSWAP spectrum were given as incident wave conditions. In the summer season, eastward wave-induced currents were developed along the beach by the incident wave direction. Before the beach nourishment, the maximum speed around the surf zone was 1.2-1.5 m/s in the central zone of the beach, whereas the maximum speed increased to 1.4-1.6 m/s at the same areas when the currents toward Mipo Harbor were blocked as an effect of the groins after the beach nourishment. In the winter season, westward wave-induced currents were developed along the beach by the incident wave direction. After the beach nourishment, the maximum current speed increased slightly around the surf zone in the central area of the beach, and the littoral current speed decreased at the submerged breakwaters located at Dongbaek Island. As a result, after the beach nourishment, the maximum wave-induced currents increased about 10% in the surf zone of the central area of the beach.