• Korean Journal of Food Science and Technology
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• v.31 no.2
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• pp.329-335
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• 1999

The yield of oleoresin content and functionality of fresh garlic were compared according to varying extraction conditions by microwave-assisted extraction (MAE) and conventional extraction (CE) methods. When different extracting conditions were applied, there was no significant difference of extraction methods in the oleoresin content. However, in the case of the CE, the optimum extraction time was two hours, while the other was about five minutes which meant that the extraction time was shortened drastically. The electron donating abilities showed a similar level which was 64% by both methods, using water. And, in the case of ethanol extraction, it resulted 63% and 51% by CE and MAE, respectively. The nitrite scavenging effect diminished while pH was increasing and especially, in the case of pH 1.2, it showed a high elimination effect of more than 90%. There was no difference of extraction methods. The tyrosinase inhibitory effect was 47% and 60% by CE and MAE, respectively in the case of the water extract. The ethanol extract showed similar or a slight lower inhibition of 45% and 39%. The angiotensin I-converting enzyme inhibitory effect showed more powerful activity in the case of MAE extract than CE extract, but there was not an increase relating to reaction time of enzyme. Also, pyruvic acid content was $44.8\;and\;36.0{\mu}moles$ per one gram of a garlic by CE and MAE, respectively when water was used, and was $28.6\;and\;32.0{\mu}moles$ by CE and MAE when ethanol was used. Again, there was no big difference between CE and MAE methods.

• Journal of Ginseng Research
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• v.23 no.2 s.54
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• pp.88-92
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• 1999

Hydrolysis properties of ginseng saponins in processing of extraction with vacuum impulse system extraction method were compared with multi-stage extraction methods. Crude saponin content of the extract produced by vacuum impulse system extraction method was $11.5\%,$ compared with multi-stage extraction method (about $8.13\%).$ Also the yield of the extract increased about $6.7\%.$ The flavor and aroma of ginseng extract with vacuum impulse system extraction method are stronger than multi-stage extraction methods and people have a tendency to like more. The color was similar to existing extraction items and the liquidity ratio was high. Vacuum impulse system extraction method could save human resources because of short extraction time and automatic operation of processing. With HPLC pattern, We could ascertain the truth that hydrolysis properties of ginseng saponin was restrained in the extraction processing, vacuum impulse system extraction method.

• Horticultural Science & Technology
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• v.28 no.4
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• pp.685-690
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• 2010

Rubiadin, a major compound of noni ($Morinda$ $citrifolia$) adventitious root, is highly valued in pharmaceutical industry due to hepatoprotective activity. To dissect rubiadin's effective extraction condition, extraction process of noni adventitious roots was performed with different solvent types, ratio of water to methanol (water, 20, 40, 60, 80, and 100% of methanol), extraction time, and extraction method. In contrast, we also developed a reverse- phase HPLC assay method to determine rubiadin from noni adventitious roots. The HPLC assay of rubiadin was performed by C-18 column using a gradient solvent system of methanol and water with UV detector at 280 nm. The extraction efficiency of different types of solvents were increased in order of methanol (0.08%) > ethanol (0.05%) > acetonitrile (0.03%) > acetone (0.02%) and methylene chloride (0.02%). The results of rubiadin extraction using different solvents showed that 1 hour of ultrasonic extraction was effective in order of 60% methanol (0.21%) > 80% methanol (0.13%) > 100% methanol (0.07%), 40% methanol (0.07%) and 2 hours of reflux extraction was effective in order of 60% methanol (0.21%) > 40% methanol (0.17%) > 80% methanol (0.14%). To compare the extraction efficiency of rubiadin according to the extraction methods and time for high rubiadin content, the extracts of rubiadin in noni adventitious roots were isolated with the methods of ultrasonic extraction, shaking extraction and reflux extraction. Rubiadin extracted from the methods of ultrasonic waves and shaking displayed the highest contents at 8 and 24 hours, respectively.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.175-186
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• 2004

We present a hybrid approach of texture-based method and connected component (CC)-based method for text extraction in complex images. Two primary methods, which are mainly utilized in this area, are sequentially merged for compensating for their weak points. An automatically constructed MLP-based texture classifier can increase recall rates for complex images with small amount of user intervention and without explicit feature extraction. CC-based filtering based on the shape information using NMF enhances the precision rate without affecting overall performance. As a result, a combination of texture and CC-based methods leads to not only robust but also efficient text extraction. We also enhance the processing speed by adopting appropriate region marking methods for each input image category.

• Journal of Electrical Engineering and Technology
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• v.3 no.2
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• pp.167-176
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• 2008

Vulnerability assessment of power systems is important so as to determine their ability to continue to provide service in case of any unforeseen catastrophic contingency such as power system component failures, communication system failures, human operator error, and natural calamity. An approach towards the development of on-line power system vulnerability assessment is by means of using an artificial neural network(ANN), which is being used successfully in many areas of power systems because of its ability to handle the fusion of multiple sources of data and information. An important consideration when applying ANN in power system vulnerability assessment is the proper selection and dimension reduction of training features. This paper aims to investigate the effect of using various feature extraction methods on the performance of ANN as well as to evaluate and compare the efficiency of the proposed feature extraction method named as neural network weight extraction. For assessing vulnerability of power systems, a vulnerability index based on power system loss is used and considered as the ANN output. To illustrate the effectiveness of ANN considering various feature extraction methods for vulnerability assessment on a large sized power system, it is verified on the IEEE 300-bus test system.

• Korean Journal of Agricultural Science
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• v.51 no.3
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• pp.361-373
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• 2024

Syzygium formosum has been traditionally used in Vietnam as a folk medicine for treating skin and respiratory diseases. With the recent recognition of its beneficial effects such as anticancer, antioxidant, and anti-inflammatory properties, there is an increasing interest in industrial extraction of its bioactive compounds, such as triterpenoids and flavonoids. In this study, the extraction efficiencies of S. formosum were analyzed by extraction methods and harvest timings. Firstly, it was found that distilled water treatment substantially eliminated almost all flavonoids, suggesting that minimal pretreatment is important to preserve both triterpenoids and flavonoids. Secondly, extractions with 70% ethanol at both lab and pilot scales effectively yielded more than 70% of triterpenoids and flavonoids from S. formosum. Lastly, to investigate the seasonal variation in phytochemicals, extracts from the leaves of S. formosum harvested in April, August, October, and December in Vietnam were analyzed. It was revealed that seasons with lower temperatures led to higher concentrations of triterpenoids and flavonoids. Specifically, December was found to be optimal for obtaining high concentrations of triterpenoid and October for flavonoid. Consequently, this research provides a foundation for the industrial application of S. formosum, providing critical insights into maximizing the extraction efficiency and phytochemical contents through optimized processing methods and strategic harvesting.

• Korean Journal of Medicinal Crop Science
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• v.21 no.4
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• pp.276-281
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• 2013

This study was conducted to compare the contents of ginsenoside according the water extract conditions of red ginseng. In method A, red ginseng extract was prepared at $75^{\circ}C$ for 18 hours by 1 time extraction, and method B, the preparation was done at $85^{\circ}C$ for 18 hours by 1 time extraction. In method C, the primary extract prepared at $75^{\circ}C$ for 9 hours was blended with the secondary extract prepared by re-extracting the red ginseng residue obtained after the primary extraction, at $85^{\circ}C$ for 9 hours. Method D was the same procedure as method C but the extraction temperature for the primary extraction was $85^{\circ}C$ and that for the secondary extraction was $95^{\circ}C$. The contents of total and $Rb_1$, $Rg_1$ and $Rg_3$ ginsenoside were highest in Method C. The content of prosapogenin (ginsenoside $Rg_2$, $Rg_3$, $Rb_1$ and $Rb_2$) was highest in Method B. There was no consistent tendency in Brix, pH, Hue value and absorbance among extraction methods.

• Korean Journal of Clinical Laboratory Science
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• v.46 no.3
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• pp.99-105
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• 2014

Isolating total DNA from small samples using traditional methods is difficult and inefficient mainly due to loss of DNA during filtration and precipitation. With advances in molecular pathology, DNA extraction from micro-dissected cells has become essential in handling clinical samples. Genomic DNA extraction using small numbers of cells can be very important to successfully PCR amplify DNA from small biopsy specimens. We compared our experimental genomic DNA extraction method (A) with two other commercially available methods: using spin columns (B), and conventional resins (C), and determined the efficacy of DNA extraction from small numbers of cells smeared on a glass slide. Approximately 50, 100, 200, 500 and 1000 cells were isolated from fine needle aspiration biopsy (FNAB) slides aspirated from histologically proven papillary thyroid carcinoma masses. DNA was extracted using the three techniques. After measuring DNA quantity, PCR amplification was performed to detect the ${\beta}$-globin and $BRAF^{V600E}$ gene mutations. DNA extracted by method (A) showed better yield than the other methods in all cell groups. With our method, a suitable amount of genomic DNA to produce amplification was extracted from as few as 50 cells, while more than 100 to 200 cells were required when methods (B) or (C) were applied. Our genomic DNA extraction method provides high quality and improved yields for molecular analysis. It will be especially useful for paucicellular clinical samples which molecular pathologists often confront when handling fine needle aspiration cytology, exfoliative cytology and small biopsy specimens.

• Korean Journal of Food Science and Technology
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• v.47 no.3
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• pp.281-285
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• 2015

An oleaginous fungus was isolated from soil and identified as Mortierella sp. (M-12) for producing arachidonic acid (AA). Cell disruption methods, extraction methods, and particle sizes of freeze-dried biomass were tested to achieve maximum extraction of total lipids and AA. M-12 grown in glucose yeast media at $25^{\circ}C$ for 7 days contained 35.5% total lipid, and 47% of the total lipid was AA. Lipid extraction yield from wet biomass was shown to be similar to that in a dry state. Maximum lipid extraction was achieved using a mixture of chloroform and methanol (2:1) as an extraction solvent. Different mechanical cell disruption methods did not affect lipid extraction yields. The smaller the particle size of the biomass, the better the lipid extraction yield was observed. Particle size of biomass was shown to more strongly affect lipid extraction than extraction time. The highest AA content was observed in the class of neutral lipids.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.3
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• pp.153-163
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• 2016

Local feature extraction methods for images and videos are widely applied in the fields of image understanding and computer vision. However, robust features are detected differently when using the latest feature detectors and descriptors because of diverse image environments. This paper analyzes various feature extraction methods by summarizing algorithms, specifying properties, and comparing performance. We analyze eight feature extraction methods. The performance of feature extraction in various image environments is compared and evaluated. As a result, the feature detectors and descriptors can be used adaptively for image sequences captured under various image environments. Also, the evaluation of feature detectors and descriptors can be applied to driving assistance systems, closed circuit televisions (CCTVs), robot vision, etc.