• Journal of Microbiology and Biotechnology
• /
• v.14 no.5
• /
• pp.932-937
• /
• 2004

In situ extraction by organic solvent was studied in order to improve the recovery yield of hydrocarbon from the culture of Botryococcus braunii, a green colonial microalga. When the solvent mixture of octanol as an extractive solvent and n-octane as a biocompatible solvent was added to a two-phase column, the algal growth was seriously inhibited, even at a low concentration of polar octanol. Therefore, a two-stage cell-recycle extraction process was proposed to improve the contact area between the organic phase and the aqueous phase. The hydrocarbon recovery with in situ cell-recycle extraction showed a three-fold increase (57% of cell) in yield over that with two-phase extraction. In addition, over 60% of the hydrocarbon could be recovered without serious cell damage by downstream separation when this process was applied to the culture broth after batch fermentation.

• Food Science and Preservation
• /
• v.7 no.1
• /
• pp.74-79
• /
• 2000

Water and ethanol extracts of fresh red peppers were obtained by two methods, conventional extraction (CE) and microwave-assiated extraction (MAE), under different extraction conditions. Red pepper oleoresins extracted by CE and MAE were examined in oleoresin yield and physiological activities. The proper extraction time of MAE was about 5 minutes, whereas that of CE was 2 hours. therefore extraction time was decreased drastically by MAE but there was no significance in oleolesin yields. the electron donating abilities also showed negligible difference between two extracts obtained by CE and MAE, and 80% level in all extracts . the nitrite scavenging effect was reduced by increased of ph , and showed a high elimination effect over 85% at ph 1.2. All extracts had a high tyrosinase inhibitory effects of 100%. The angiotensin I-conventing enzyme effect showed higher activity with over 80% in MAE than 70% level in CE. the capsanthin was extracted with ethanol and was 11.4 and 12.9 ${\mu}$moles per 1 g of fresh red pepper by CE and MAE, respectively.

• KSBB Journal
• /
• v.16 no.3
• /
• pp.264-268
• /
• 2001

The extraction efficiencies of panaxynol and panaxydol were optimal at 80$^{\circ}C$ with soxhlet method. The extraction efficiencies increased up to 45$^{\circ}C$ with shaking method. Amounts of panaxynol and panaxydol were determined by gas chromatography. Extracted quantities of panaxynol and panaxydol using the shaking method increased over a period of 14 hours. The efficiencies of panaxynol and panaxydol extraction by soxhlet and shaking methods were higher for smaller particle sizes. Upon water swelling treatment, extraction efficiencies of panaxynol and panaxydol decreased gradually with time for both methods.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.6
• /
• pp.2470-2491
• /
• 2018

Web-scale open information extraction (Open IE) plays an important role in NLP tasks like acquiring common-sense knowledge, learning selectional preferences and automatic text understanding. A large number of Open IE approaches have been proposed in the last decade, and the majority of these approaches are based on supervised learning or dependency parsing. In this paper, we present a novel method for web scale open information extraction, which employs cosine distance based on Google word vector as the confidence score of the extraction. The proposed method is a purely unsupervised learning algorithm without requiring any hand-labeled training data or dependency parse features. We also present the mathematically rigorous proof for the new method with Bayes Inference and Artificial Neural Network theory. It turns out that the proposed algorithm is equivalent to Maximum Likelihood Estimation of the joint probability distribution over the elements of the candidate extraction. The proof itself also theoretically suggests a typical usage of word vector for other NLP tasks. Experiments show that the distance-based method leads to further improvements over the newly presented Open IE systems on three benchmark datasets, in terms of effectiveness and efficiency.

• YAKHAK HOEJI
• /
• v.56 no.3
• /
• pp.145-151
• /
• 2012

To develop fundamental data of herbal materials with heat treatment, we studied analytical and extraction methods of benzopyrene in black ginseng and validated by HPLC analysis. Benzopyrene was successfully separated in mobile phase of acetonitrile:water (80 : 20) and detection of excitation 294 nm, emission 404 nm. The calibration curve of benzopyrene was linear over the concentration range of 1.17~37.50 ng/ml with correlation coefficient of above 0.999. The limit of detection (LOD) and quantitation (LOQ) of benzopyrene was 0.25 and 0.75 ng/ml, respectively. Hexane extraction method was used as a new extraction method for benzopyren and the efficient of extraction was over 95%. In conclusion, analytical method and extraction method were suitable for the determination of benzopyrene in the black ginseng and could be applied to fundamental study and guideline of herbal materials with heat treatment.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.14 no.4
• /
• pp.169-176
• /
• 2018

In this study, we propose a new Fire Flame Region Extraction using Block Homogeneity Segmentation method of the Fire Image with irregular texture and various colors. It is generally assumed that fire flame extraction plays a very important role. The Color Image with fire flame is divided into blocks and edge strength for each block is computed by using modified color histogram intersection method that has been developed to differentiate object boundaries from irregular texture boundaries effectively. The block homogeneity is designed to have the higher value in the center of region with the homeogenous colors or texture while to have lower value near region boundaries. The image represented by the block homogeneity is gray scale image and watershed transformation technique is used to generate closed boundary for each region. As the watershed transform generally results in over-segmentation, region merging based on common boundary strength is followed. The proposed method can be applied quickly and effectively to the initial response of fire.

• KSBB Journal
• /
• v.19 no.6 s.89
• /
• pp.421-426
• /
• 2004

The extraction and separation of isoflavones from Korean soybean were peformed by various mechanical and chemical extraction methods. They included solvent extraction, stirring, supersonification and sub/supercritical water extraction. From the experimental results of the variation of solvent extraction by change in composition, the increase in extraction of a specific compound by stirring or supersonic energy, and the application of supercritical fluid with superior solvating power over solvents, the sonification was the most desirable extraction method in extracting aglycone isoflavones, daidzein and genistein from Korean soybean.

• Korean Journal of Medicinal Crop Science
• /
• v.19 no.1
• /
• pp.38-46
• /
• 2011

In this study, we investigated maximum yield of radical scavenging activity (RSA) using each of various extraction solvents and procedure from noni friut (Morinda citrifolia). Noni fruits were either sun-dried (FS) or hot-air dried (FO) at $60^{\circ}C$ after steam blanching. For optimum aqueous extraction, noni fruits should be sun dried and autoclave extraction time should not be over 30 min to produce extraction with high RSA with low cost. In case of 50% ethanol extraction, reflux extracts of FS and FO resulted in $IC_{50}$ of 1.92 mg/mL and 3.06 mg/mL at 8 hr. When $IC_{50}$ values were lower than 5 mg/mL, coefficient of correlation was 0.71 indicating that 71% of the phenolic antioxidants in noni fruits were accounted for the activity by scavenging free DPPH. However, coefficient of correlation significantly decreased to 0.63 over $IC_{50}$ values of 5 mg/mL. Autoclave extraction contained chlorogenic acid of $14.69 \;{\mu}g/mL$ and scopoletin of $3.86 \;{\mu}g/mL$. Reflux extraction showed all three compounds, chlorogenic acid ($26.19 \;{\mu}g/mL$), quercetin ($19.59 \;{\mu}g/mL$), and scopoletin ($17.4 \;{\mu}g/mL$). Therefore, the result of this study indicated that the potential antioxidant activities and functional values were obtained significantly with reflux extraction from noni fruit.

• Food Science and Preservation
• /
• v.13 no.2
• /
• pp.252-258
• /
• 2006

To find the optimum extraction condition of dried omija, central composite experimental design having three independent variable (extraction temperature, extraction time and water ratio) with five levels was conducted for response surface analysis. The maximum of soluble solid was predicted to the extraction conditions of over 25 fold water ratio, $7{\sim}8hr$ and $75^{\circ}C$. Total acid, total phenol, reducing sugar and vitamin C were predicted to respectively 30 fold water ratio, 6 hr, $70^{\circ}C$, 30 fold water ratio, $6{\sim}7\;hrs,\;80^{\circ}C$ and 30 fold water ratio, $6{\sim}8\;hr,\;80^{\circ}C$, 25 fold water ratio, $5{\sim}6hr,\;80^{\circ}C$ extraction condition. Turbidity of extraction condition. Turbidity of extraction condition was 7 over 25 ford water ratio and over $60^{\circ}C$. From the superimposing results of response variables, the optimum extraction condition was predicted 25 folds water ratio, 6 hr and $65{\sim}70^{\circ}C$.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.3
• /
• pp.687-696
• /
• 2014

This paper presents a semantic object extraction method using user's stroke input, color, and depth information. It is supposed that a semantically meaningful object is surrounded with a few strokes from a user, and has similar depths all over the object. In the proposed method, deciding the region of interest (ROI) is based on the stroke input, and the semantically meaningful object is extracted by using color and depth information. Specifically, the proposed method consists of two steps. The first step is over-segmentation inside the ROI using color and depth information. The second step is semantically meaningful object extraction where over-segmented regions are classified into the object region and the background region according to the depth of each region. In the over-segmentation step, we propose a new marker extraction method where there are two propositions, i.e. an adaptive thresholding scheme to maximize the number of the segmented regions and an adaptive weighting scheme for color and depth components in computation of the morphological gradients that is required in the marker extraction. In the semantically meaningful object extraction, we classify over-segmented regions into the object region and the background region in order of the boundary regions to the inner regions, the average depth of each region being compared to the average depth of all regions classified into the object region. In experimental results, we demonstrate that the proposed method yields reasonable object extraction results.