• The Korean Journal of Food And Nutrition
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• v.16 no.4
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• pp.372-378
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• 2003

The volatile components of cinnamon bark were extracted by using different isolation methods, simultaneous distillation extraction (SDE) and solid phase microextraction (SPME). Then the volatile components were analyzed by gas chromatography(GC) and mass selective detector(MSD). 30 compounds were identified in cinnamon bark. In SPME technique, several factors influencing the equilibrium of the aroma compounds between sample and SPME fiber was taken into account, including the kind of SPME fiber, extraction temperature and extraction time. Four different SPME fibers were tested, namely polydimethylsiloxane (PDMS), poly acrylate(PA), divinyl- benzene-carboxen-polydimethylsiloxane (DVB/CAR/PDMS) and carbowax/divinylbenzene(CW/DVB). Among these SPME fiber, PDMS coating fiber showed the best results. The profile of volatile compounds of cinnamon bark at different extraction temperature and extraction time were investigated by 100$\mu\textrm{m}$ PDMS fiber.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.181-187
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• 2012

Grifola frondosa has been used as an herbal medicine for the treatment of cancer, diabetes mellitus and high blood pressure. In this study, functional polysaccharide was obtained from Grifola frondosa using four different extraction methods: hot water(HwFP), homogenize(HgFP), acid(AcFP), and alkali(AlFP) extraction methods. The effects of these extracts on KB and HepG2 cell lines were then examined for any anti-cancer activity. Alkaline extraction produced a yield of 0.175% and the total sugar content of the extract was 54.97%. We were able to confirm that the polysaccharide extracts from the mushroom produce an anti-cancer effect. The cytotoxicity of AlFP and AcFP against HepG2 cells were 22.86% and 28.88%, respectively, and the cytotoxicity of AlFP against the KB cell lines was 47.76% at a concentration of 1,000 ${\mu}g/m{\ell}$. Therefore, these results suggest that the optimum method for extracting functional polysaccharides from G. frondosa is the alkali extraction method.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.41 no.1
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• pp.13-19
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• 2008

Malachite green (MG), a triphenylmethane dye, is carcinogenic, mutagenic, teratogenic, a respiratory toxin, and causes chromosomal fractures. It is not permitted for use as an aquaculture veterinary drug in a number of countries. Sensitive extraction methods for MG and leucomalachite green (LMG), which have long residence times in fish tissues, were developed. For LMG, the average recovery of liquid extraction (LE) ranged from 41.71 (yellowtail) to 71.60% (snakehead); the recovery of liquid-liquid extraction (LLE) was between 67.68 (yellowtail) and 83.68% (snakehead); and the average recovery of solid-phase extraction (SPE) ranged from 84.16 (yellowtail) to 92.92% (shrimp). The recovery of MG was less than 30% with SPE. However, the dye is found primarily as the colorless reduced leuco form in fish tissues.

• Korean Journal of Medicinal Crop Science
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• v.26 no.3
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• pp.233-239
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• 2018

Background: Inflammation plays an important role in various diseases, including ulcerative colitis, Behcet's disease, and rheumatoid arthritis. In this study, we investigated the anti-inflammatory effects of Morus alba L. extracts obtained using different extraction methods (water extraction or high temperature extraction) on RAW264.7 cells. Methods and Results: Extracts from the central part (including the heartwood, sapwood, cambiun, and phloem) and bark (including the periderm and cortex) of Morus alba L. were obtained using either water or high temperature extraction. The following extract were obtained: MA1, water extract from the central part of Morus alba L., MA2, high temperature extract from the central part of Morus alba L., MA3, water extract from the bark of Morus alba L., and MA4, high temperature extract from the bark of Morus alba L. None of these extracts was observed to be cytotoxic to RAW264.7 cells. The MA2 extract reduced the production of LPS-induced NO (nitric oxide), $PGE_2$ (prostaglandin $E_2$), $TNF-{\alpha}$, IL-6, and $IL-1{\beta}$ production in LPS-stimulated RAW264.7 cells. Conclusions: These results indicated that the inflammatory response was moderated by MA2. Treatment with MA2 could be used as a natural medicine for treating diseases involving inflammation. However, further experiments are required to determine how the high temperature extraction method alters the active ingredients in the extract and influences the anti-inflammatory effects of Morus alba L..

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.86-97
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• 2021

As mechatronic systems have various, complex functions and require high performance, automatic fault detection is necessary for secure operation in manufacturing processes. For conducting automatic and real-time fault detection in modern mechatronic systems, multiple sensor signals are collected by internet of things technologies. Since traditional statistical control charts or machine learning approaches show significant results with unified and solid density models under normal operating states but they have limitations with scattered signal models under normal states, many pattern extraction and matching approaches have been paid attention. Signal discretization-based pattern extraction methods are one of popular signal analyses, which reduce the size of the given datasets as much as possible as well as highlight significant and inherent signal behaviors. Since general pattern extraction methods are usually conducted with a fixed size of time segmentation, they can easily cut off significant behaviors, and consequently the performance of the extracted fault patterns will be reduced. In this regard, adjustable time segmentation is proposed to extract much meaningful fault patterns in multiple sensor signals. By considering inflection points of signals, we determine the optimal cut-points of time segments in each sensor signal. In addition, to clarify the inflection points, we apply Savitzky-golay filter to the original datasets. To validate and verify the performance of the proposed segmentation, the dataset collected from an aircraft engine (provided by NASA prognostics center) is used to fault pattern extraction. As a result, the proposed adjustable time segmentation shows better performance in fault pattern extraction.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.23-28
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• 2018

Recent approaches to Relation Extraction methods mostly tend to be limited to mention level relation extractions. These types of methods, while featuring high performances, can only extract relations limited to a single sentence or so. The inability to extract these kinds of data is a terrible amount of information loss. To tackle this problem this paper presents an Augmented External Memory Neural Network model to enable Global Relation Extraction. the proposed model's Global relation extraction is done by first gathering and analyzing the mention level relation extraction by the Augmented External Memory. Additionally the proposed model shows high level of performances in korean due to the fact it can take the often omitted subjects and objectives into consideration.

• Korean Journal of Food Science and Technology
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• v.51 no.4
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• pp.369-378
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• 2019

This study aimed to compare the quality characteristics of carrot juice based on different extraction methods such as centrifugation, single gear, and twin gear methods. Juice quality was evaluated based on extraction yield, nutritional components, and cloud stability. Twin gear extraction resulted in the highest extraction yield, and the highest mineral content. In addtion, ${\beta}$-carotene level higher than the recommended daily intake was obtained only in the carrot juice prepared using twin gear extraction of 100 g carrots. The minimum particle size was observed in twin gear extraction, followed by single gear extraction and centrifugation method. Therefore, twin gear extraction was selected as the optimal method, and changes in the antioxidant and metabolic activity of carrot juice were investigated using this method. Consequently, the carrot juice showed a higher lipid peroxidation inhibition rate than ${\alpha}$-tocopherol (1 mg/mL), and angiotensin I-converting enzyme (ACE) inhibitory activity was increased upon digestion.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.6
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• pp.518-524
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• 2014

Heavy metal pollution in agricultural field near at the abandoned metal mines has been a critical issue in Korea. In particular, bioaccumulation in plants can have detrimental effect on human health. Main objective of this research was to examine arsenic (As) concentration in soil with varied extraction methods and to determine bioaccumulation and biological transfer factor in different crops. Results showed that bioaccumulation ratio of As for total contents in soil was ordered leafy and stem vegetables (1.19%) > fruit bearing vegetables (0.79%) > pulses (0.40%) > root vegetables (0.36%) with different crop species. Among 6 different extraction methods, all of extraction methods showed high correlation ($R^2=0.87-0.97$) except DTPA ($R^2=0.25$) when comparing As concentration in soil extracted with different extractants and As concentration in each crops. Calculated biological transfer factor was ranged 0.002-0.018 depending on crop species. Overall, concentration of As in crops can be varied and best management practice for minimizing bioaccumulation of As should be considered depending on crop species.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2003.11a
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• pp.193-197
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• 2003

Radar target identification can be achieved by using various radar signatures, such as one-dimensional(1-D) range profile, 2-D radar images, and 1-D or 2-D scattering centers on a target. In this letter, five 1-D scattering center extraction methods are discussed - TLS(Total Least Square)-Prony, Fast Root-MUSIC (Multiple Signal Classification), Matrix-Pencil, GEESE(GEneralized Eigenvalues utilizing Signal-subspace Eigenvalues), TLS-ESPRIT(Total Least Squares - Estimation of Signal Parameters via Rotational Invariance Technique), These methods are compared in the context of estimation accuracy as well as a computational efficiency using a noisy data. Finally these methods are applied to the target classification experiment with the measured data in the POSTECH compact range facility.

• Culinary science and hospitality research
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• v.23 no.3
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• pp.166-173
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• 2017

This study was performed to compare the vitamin A, E, ${\beta}-carotene$, polyphenol content, and DPPH radical scavenging activity of carrot, apple, and blueberry juices as affected by extraction methods using slow juicer (HJ), no vacuum blending (NVJ) and vacuum blending (VJ). Juice yields of carrot, apple, and blueberry were 100% in NVJ and VJ groups. Vitamin A content of all juices was the highest in VJ group. Vitamin E content in carrot and apple juices increased most in the HJ group, followed by the NVJ and VJ group; Vitamin E content in blueberry juice was higher in the NVJ group than VJ or HJ group. ${\beta}-carotene$ and polyphenol content in all juices were highest in the VJ group. In addition, the differences between vacuum blending and non-vacuum blending were only shown on apple and blueberry juices. Polyphenol content in carrot and blueberry juices increased most in the HJ group, followed by the NVJ, and VJ groups, and in apple juice, polyphenol content was higher in the VJ group than the HJ or NVJ group. DPPH radical scavenging activity in the VJ group was significantly higher than the NVJ group. The results of this study showed the vacuum blending method had outstanding antioxidative nutrients compared to other juicing methods.