• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.59-67
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• 1998

This study deals with a auto-extraction of land characteristics using a GSIS. Major algorithm and a evaluation program was developed to automate the entire Process of land characteristics survey Through the automatic extraction of land information. To establish such a process, a method was provided to automatically extract detailed land information such as the shape, height, direction, road contact conditions, which could not be available in previous studies. The results showed that the adoption of such a automated process could lead the whole works related to the official land-value evaluation and securing residential complex to be more efficient and cost-saving in a scientific way comparing with existing process.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.252-259
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• 2020

Wheatgrass is a type of young grass that contains a lot of vitamins, minerals, and protein even compared to grain products produced from its mature cereal plants. In the context of product development and increasing product sales value, a study on the use of wheatgrass extract as an ingredient of fermented beverage was conducted. In this study wheatgrass used was self-grown using a tray in the Laboratory. The variation of wheatgrass extracts used was obtained from the twin-gear type extractor, slow-squeeze type extractor, and chopped wheatgrass. In the extraction process, the performances of the process: density, extract yield, processing capacity, and the rate of production, were analyzed. For another analysis, the physicochemical properties both of wheatgrass extracts and fermented beverages were also analyzed. The physicochemical properties analyzed included TSS, pH, acidity, and others content. The results of extraction performance analysis and physicochemical characteristics of wheatgrass extract planted at 10-20℃ based on this research gave the best results using the twin-gear extractor. The twin-gear type of extractor used in this study. All of these results were also in accordance with the statistical analysis conducted in this study.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.55-60
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• 2006

The proposed method uses FFT(Fast Fourier Transform) and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The neural network are learned by character region(high frequency) and non character region(low frequency). The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 95% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.447-453
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• 1999

Salt accumulation is one of themajor problems in soils under protected cultivation . Since protected cultivation does not have rainfall or excessive irrigation, salt accumulaiton inthe soils is inevitable. In this study, characteristics of salt accumulation in soil column were ivestigated, and a salt-extracting method was tested to see its effectiveness. The results showed that the concentration of salt in top soil layers increased and electrical conductivity as thesalt concentration decreased especially in the top soil layer .When extraction medium was applied.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.831-842
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• 1999

We propose a wavelet decomposition feature extraction method for the hand-written character recognition. Comparing the recognition rates of which methods with original image features and with selected features by the wavelet decomposition we study the characteristics of the proposed method. LDA(Linear Discriminant Analysis) QDA(Quadratic Discriminant Analysis) RDA(Regularized Discriminant Analysis) and NN(Neural network) are used for the calculation of recognition rates. 6000 hand-written numerals from CENPARMI at Concordia University are used for the experiment. We found that the set of significantly selected wavelet decomposed features generates higher recognition rate than the original image features.

• Korean Journal of Food Science and Technology
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• v.23 no.6
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• pp.677-682
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• 1991

Extraction of soybean oil from full tat soybean flour was performed using a supercritical carbon dioxide extraction system. Extraction pressure and temperature of the process were 3,000-7,000 psig and $40-70^{\circ}C$, repectively. For the extraction of lg of soybean oil, 25l of carbon was consumed at 7,000 psig and $60^{\circ}C$, whereas more than 2501 of carbon dioxide was consumed at 3,000 psig and $60^{\circ}C$. The solubility of soybean oil in supercritical carbon dioxide decreased with the increase in temperature below 6,000 psig, and the reverse trend was observed above 6,000 psig. At 6,000 psig the solubilities were shown to be, constant regardless of extraction temperature. Soybean oils , extracted with supercritical carbon dioxide were lighter in color and contained less phosphorus than those extracted with hexane.

• KSBB Journal
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• v.26 no.1
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• pp.49-56
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• 2011

Volatile components of crude fucoidan and its raw material, Undaria pinnatifida sporophylls were identified by GC/MSD analysis, and the effects of a combined method of solvent extraction and drying (hot-air drying or spray drying) on deordorization of fucoidans were examined. The major components of seaweed smell (odor) in crude fucoidan and Undaria pinnatifida sporophylls were identified as alkanes (octadecane, heptadecane, tetradecane) and acids (hexadecanoic acid, oleic acid). Solvent extraction and drying were combined for the deordorization of fucoidans: hot-air drying/deordorization process (HDDP) and spray drying/deordorization process (SDDP). The deordorization effects of solvent extraction using solvents including water, ethanol, and acetone were investigated. Among the tested solvents, ethanol was selected as a deordorization solvent, because the seaweed smell and taste were mostly lowered by ethanol extraction followed by drying. In addition, HDDP and SDDP were compared, showing that SDDP gave higher sensory characteristics than HDDP. When the crude fucoidan was treated by ethanol extraction for 30 min followed by SDDP, approximately 60% of off-flavor components of crude fucoidan was removed based on GC/MSD peak area, and the total sugar and sulfate contents and APTT-anticoagulant activity significantly increased compared to crude fucoidan. In conclusion, SDDP after ethanol treatment was proposed and established as a deordorization process for fucoidan preparation.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.31-37
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• 2001

License plate recognition system for an exclusive bus-lane is made of 5 core parts which are vehicle detection, image acquisition individual character extraction, character recognition and data transmission. Among them, the accuracy of license plate extraction can bring effect significantly to the accuracy of a whole system recognition rate also the more exact extraction of license plate is required in various weather and environment conditions. Therefore in this paper we propose a plat extraction algorithm that makes pyramid structure to reduced the extraction processing time binarizes plate's template region using adaptive thresholding extracts candidate region containing plate, and verifies a final region using plate character distribution characteristics among the candidates. Experimenal results were exactly extracted the license plate region by using proposed method to the image obtained in an exclusive bus-lane with various weather and environment conditions.

• Korean Journal of Food Science and Technology
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• v.33 no.6
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• pp.808-811
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• 2001

Performance of pilot plant scale extraction and concentration of purple-fleshed sweet potato anthocyanin pigment was tested and the characteristics of pigment extracts and concentrates were investigated. Fifty kilograms of purple-fleshed sweet potato was extracted with 500 L of 1% citric acid in 20% ethanol. As a whole, extraction pattern of the large scale extraction was similar to that of the laboratory scale extraction. The extracted pigment solution was filtered twice with a bag filter and a winding type microfilter and the filtrate was concentrated by a large scale vacuum evaporator at $40^{\circ}C$ and 600 mmHg vac. The mean values of total optical density (TOD) of the extract and the concentrate were 6.53 and 120.45, respectively. Browning index (BI) and Degradation index (DI) of extract were 5.86 and 1.55 and those of concentrate were 5.89 and 1.56, respectively, which indicated that the pigments were not changed or degraded through the extraction and concentration process.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.6
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• pp.1068-1073
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• 2004

Response surface methodology (RSM) was used to monitor characteristics of hot water extracts from Hericium erinaceus. A central composite design was applied to investigate the effects of independent variables, extraction temperature (X$_1$), sample ratio (X$_2$) and extraction time (X$_3$) on dependent variables such as soluble solid (Y$_1$), total phenols (Y$_2$), crude protein (Y$_3$) and electron donating ability (Y$_4$) of the extracts. As the sample ratio increased, the soluble solid content increased, while extraction temperature played a minor role. As a whole total phenols and crude protein contents increased with increasing the sample ratio. Electron donating ability increased in proportion to extraction temperature and sample ratio, which didn't increase at certain period. Then ranges of optimum extraction conditions for maximized physicochemical properties were 91.5∼96.5$^{\circ}C$ in extraction temperature and 3.5∼4.2 g/100 mL in sample ratio. Predicted values at the optimized conditions were coincident with experimental values.