• Journal of Life Science
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• v.13 no.2
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• pp.168-174
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• 2003

The chemical compositions and antioxidant activity of green tea extracts in medilite-extraction water were compared to that of distilled water(DW). Antioxidant activity was fetermined by the formation of thiobarbituric acid reactive substances (TBARS) in rat liver homogenates and microsomes and the scavenging activity of free radicals by DPPH ($\alpha$, $\alpha$'-diphenyl-$\beta$-picrylhydrazyl). The order of total polyphenolic compounds and extracted yield by extracts was medilite 325 mesh-extraction water, medilite 600 mesh-extraction water and distilled water(DW). The ranges of scavenging activity of green tea extracts in DPPH method were 60.95% - 64.51%. The inhibition ratios of TBARS formation in the rat liver homogenates and microsomal fractions were significantly lower with green tea extracts by DW-extraction than with both medilite 325 mesh and 600 mesh-extraction water. The concentration of iron ion of water containing medilite 325 mesh and green tea extracts and of water containing medilite 600 mesh and green tea extracts were significantly higher compared to DW. Therefore, this result suggested that enhanced concentration of iron ion in green tea extracts by medilite-extraction water containing high iron ion content was associated with enhanced peroxidation of the rat liver microsomal fractions. These results showed that total polyphenolic compounds, the % of yield and mineral compounds of green tea extracts were increased using medilite 325 mesh and 600 mesh-extraction water.

• Journal of electromagnetic engineering and science
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• v.1 no.1
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• pp.78-82
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• 2001

For fast capacitance computation, a simple mesh refinement technique on MLFMA(Multi-Level Fast Multipole Algorithm) is proposed The triangular meshes are refined mainly in the area which has heavy charge density. The technique is applied to the capacitance extraction of three dimensional conductors. The results show good convergence with comparable accuracy. An adaptive technique concerned with MLFMA is useful to reduce computation time and the number of elements without additional computational efforts in large three dimensional problems.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.13 no.3
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• pp.329-336
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• 2000

A method for automatic extraction of 2-dimensional finite element connectivities by searching the shortest closed path from a certain node to the starting node was developed. Only the best path among the possible paths was probed. The uniqueness and validity of the extracted path were examined. The proposed method was proved to be complete. Examples show that the proposed method can extract elements exactly from the irregular mesh which can not be handled easily by the conventional automatic mesh generation.

• Journal of Ginseng Research
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• v.32 no.3
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• pp.179-186
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• 2008

Effect of pulverization on total solid, crude saponin, and acidic polysaccharide contents of dried red ginseng main root were tested. Several particle size samples, including red ginseng main root (non pulverized), $10{\sim}40$ mesh powder, $40{\sim}100$ mesh powder, and >100 mesh powder were used in the extraction. The sequential solvent extraction method (1st: 70% EtOH at $70^{\circ}C$ for 12 hr, 2nd: 70% EtOH at $70^{\circ}C$ for 12 hr, 3rd: water at $70^{\circ}C$ for 12 hr) was applied to extract the saponins and acidic polysaccharide. Extraction yield of total solid of pulverized red ginseng ($10{\sim}40$ mesh size) was increased to 20% compared with that of non-pulverized. Especially, the crude saponin content of pulverized red ginseng ($10{\sim}40$ mesh size) showed an increase of 47% over non-pulverized. No difference in the component ratio was observed by pulverization, when the individual ginsenosides were quantified by HPLC. Also, extraction yield of acidic polysaccharide of pulverized red ginseng ($10{\sim}40$ mesh size) was increased 57% compared with that of non-pulverized. The results suggested that pulverization might be useful for increasing the extraction yield of red ginseng components.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.6
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• pp.667-681
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• 2009

We describe a method to decompose a cube with trilinear interpolation into a collection of tetrahedra with linear interpolation, where the isosurface topology is preserved for all isovalues during decomposition. Visualization algorithms that require input scalar data to be defined on a tetrahedral grid can utilize our method to process 3D rectilinear data with topological correctness. As one of many possible examples, we apply the decomposition method to topologically accurate tetrahedral mesh extraction of an interval volume from trilinear volumetric imaging data. The topological correctness of the resulting mesh can be critical for accurate simulation and visualization.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.204-207
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• 2021

LiDAR 장비 및 SfM 과 MVS 방법을 이용하여 생성된 point cloud 와 mesh 에는 항상 노이즈가 포함되어 있다. 이러한 노이즈를 제거하기 위해선 노이즈와 edge 를 효과적으로 구분해낼 수 있어야 한다. 노이즈를 제거하기 위해 mesh 로부터 edge 를 먼저 구분해낸 후 edge 에 해당하는 영역과 평면에 해당하는 영역에 서로 다른 필터를 사용하는 많은 연구들이 있지만 강한 노이즈가 포함된 mesh 에서는 edge를 잘 구분해내지 못하는 문제가 존재한다. 이러한 방법들은 mesh 로부터 edge 를 구분해내는 알고리즘의 성능이 노이즈를 제거하는 전체 알고리즘의 성능에 큰 영향을 주기 때문에 강한 노이즈에서도 edge 를 잘 구분해낼 수 있는 알고리즘이 필요하다. 본 논문에서는 PCA 와 graph-cut 을 이용하여 강한 노이즈가 포함된 mesh 에서 edge 영역을 추출하는 알고리즘을 제안한다.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.457-469
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• 2003

In this paper, we have proposed the efficient algorithm that can segment the video scene change using a various statistical characteristics obtained from by applying the wavelet transformation for each frames. Our method firstly extracts the histogram features from low frequency subband of wavelet-transformed image and then uses these features to detect the abrupt scene change. Second, it extracts the edge information from applying the mesh method to the high frequency subband of transformed image. We quantify the extracted edge information as the values of variance characteristic of each pixel and use these values to detect the gradual scene change. And we have also proposed an algorithm how extract the proper key frame from segmented video scene. Experiment results show that the proposed method is both very efficient algorithm in segmenting video frames and also is to become the appropriate key frame extraction method.

• Food Science and Preservation
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• v.7 no.3
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• pp.267-272
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• 2000

Microwave-assisted extraction (MAE, 2,450 MHz), which is known as a rapid and more environmental-friendly process than current extraction methods, was applied to oleoresin extractions from dried pepper. As fundamental parameters of MAE, optimum conditions were found, such as 60 mesh in particle size of the sampes, 1:10(g/mL) powders was high at lower concentrations of ethanol, whereas capsanthin content remarkably increased at more than 75% of ethanol concentration. The results showed that MAE of oleoresin and capsanthin from red pepper powders was successful in 3 to 5 min of the extraction time.

• Korean Journal of Food Science and Technology
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• v.32 no.2
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• pp.323-327
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• 2000

Microwave-assisted process (2,450MHz), which is known as a more environmental-friendly process with economic advantages than the current extraction methods, was investigated to pre-establish the extraction conditions for soluble ginseng components used for the processing of ginseng products. The extractions of soluble ginseng components showed optimum conditions, such as 60 mesh in particle size, 1 : 10 (g/mL) in the sample to solvent ratio, and less than 100 watts in energy efficiency. Under these conditions using along with 60% ethanol for 5 min, the overall yield of ginseng extracts was about 83%. Most soluble components including saponins were extracted by repeating five times of microwave-assisted extraction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1418-1433
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• 2019

In computer graphics, 3D mesh segmentation is a challenging research field. This paper presents a 3D mesh model segmentation algorithm that focuses on removing exterior salient parts from the original 3D mesh model based on prominent feature points and marching plane. To begin with, the proposed approach uses multi-dimensional scaling to extract prominent feature points that reside on the tips of each exterior salient part of a given mesh. Subsequently, a set of planes intersect the 3D mesh; one is the marching plane, which start marching from prominent feature points. Through the marching process, local cross sections between marching plane and 3D mesh are extracted, subsequently, its corresponding area are calculated to represent local volumes of the 3D mesh model. As the boundary region of an exterior salient part generally lies on the location at which the local volume suddenly changes greatly, we can simply cut this location with the marching plane to separate this part from the mesh. We evaluated our algorithm on the Princeton Segmentation Benchmark, and the evaluation results show that our algorithm works well for some categories.